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99Arterial Ischemia
Valdueza et al., Neurosonology and Neuroimaging of Stroke: A Comprehensive Reference, Second Edition (ISBN 978-3-13-141872-2), copyright © 2017 Thieme Medical Publishers
All rights reserved. Usage subject to terms and conditions of license.
Fig. A4.25 Schematics illustrating the area variations of the PCA
territory. Horizontal lines indicating maximal PCA perfusion area,
additional vertical lines indicating minimal PCA perfusion area.
(A) Axial sections from the cella media plane (left) to the basal
ganglia plane (right). (B) Medial surface view (top) and lateral
s u r f a c e v i e w ( bottom). (Reproduced with permission from van der
Zwan et al 1992.)
cell disease, see Case 43), mitochondriopathies, migraine
(for further reading, see Case 22), and cerebral venous
thrombosis (CVT) (for further reading, see Case 29).
TOAST Classifi cation
Ideally, a stroke classifi cation system should consist of all
the aspects discussed above. However, such a classifi ca-
tion would be too long and time consuming for everyday clinical application, and therefore it could only be
sensibly used in research studies. A practical classifi ca-
tion which was also the fi rst proposed system based on
stroke mechanism is the TOAST classifi cation. This clas-
sifi cation includes the radiologic infarct pattern as well
as etiological aspects. Nevertheless, it remains compact
and manageable, and has a good interobserver agreement
(Adams et al 1993). The classifi cation criteria distinguish
fi ve groups:
1. Macroangiopathy (large-vessel disease): The presence
of a stenosis >50% or occlusion of an intra- or extracranially located brain-supplying artery corresponding to the
clinical symptoms and with a territorial cortical infarc-
2. Microangiopathy (small-vessel disease): The presence of a typical lacunar syndrome with normal CT/
MRI or an infarct of <1.5 cm of diameter on CT/MRI
without stenosis of an ipsilateral brain-supplying
a r t e r y > 5 0 % .
3. Cardioembolism: The presence of a source of cardiac
embolism (in general from atrial fi brillation, valvu-
lar heart disease, acute myocardial infarction, patent
foramen ovale and atrial septum aneurysm, and cardiac masses) with brain infarction in more than one
territory or a territorial cortical infarct or subcortical
infarct >1.5 cm.
Fig. A4.26 Schematic of ischemic stroke causes. (Adapted from
Schünke et al 2006; drawing: Markus Voll.) Note that an intracranial
stenosis may cause three types of stroke alone or in combination:
artery-to-artery embolism leading to a territorial infarction, hemodynamic ischemia leading to a BZI, and perforator stroke, caused
by in-situ (= autochthonic = local atherothrombotic) blockade of a
perforating artery at its origin.
Macroangiopathy
(large-vessel disease)
Unknown
etiology
22.7%
Concurrent
etiologies
Other
etiologies
Microangiopathy
(small-vessel disease)
Fig. A4.27 Etiologic subgroups of ischemic stroke according to
the Stroke Data Bank of the German Stroke Foundation (Grau et al
2001).
6.9%
3.5%
20.5%
20.9%
25.6%
Cardioembolism
4. Other determined etiologies: E.g., the presence of dissection, vasculitis, coagulopathies, and hematologic
disorders.
5. Undetermined etiologies: If the etiology cannot be
determined, or a complete examination has not been
done, or two or more potential causes of stroke have
been found.
Some authors add a subgroup “concurrent etiology” to
point 5, which includes those patients in whom at least
two potential causes of stroke are present. Applying
these criteria, the Stroke Data Bank of the German Stroke
Foundation—a multicenter hospital-based stroke registry including 5,017 patients with ischemic stroke—reported the following distribution of stroke pathogenesis:

100 4 Pathogenesis of Stroke
Valdueza et al., Neurosonology and Neuroimaging of Stroke: A Comprehensive Reference, Second Edition (ISBN 978-3-13-141872-2), copyright © 2017 Thieme Medical Publishers
All rights reserved. Usage subject to terms and conditions of license.
Cardiac embolism (25.6%) was most common, followed
by macroangiopathy (20.9%) and microangiopathic causes (20.5%). Other etiologies were rare. Cervical artery
dissection, vasculitis, coagulation disorders, hematologic diseases, or nonspecifi ed etiologies were found in
3.5% of cases. No etiology was found in 22.7% of cases,
despite complete and extensive investigations in most
instances. Concurrent etiologies were observed in 6.9%
of cases. In the macroangiopathy group, territorial infarction was present in 89% and BZI in 11% (Grau et al 2001)
(Fig. A4.27). In young stroke populations a diff erent pat-
tern is observed (Yesilot Barlas et al 2013). For further
reading see also Case 6.
Besides its use for clinical studies the TOAST classifi cation also has several limitations which have to be
discussed. Its main weakness is that it underrates the
macroangiopathic cause in two ways: First, it excludes
artery-to-artery embolism from the carotid artery in all
cases of distinct atherosclerotic macroangiopathy but stenosis <50%, although such a mechanism is highly likely
if no competing causes are present. Second, in-situ atherothrombotic lesions of large basal arteries leading to
extended subcortical basal ganglia, capsular, thalamic, or
pontine infarction is not included as a stenosis of the parent
artery seldom reaches >50%. According to the TOAST criteria these infarctions are then classifi ed as small- vessel
disease if the lesions are less than 15 mm, but they fi t
better into the category of large-vessel disease. This is of
special interest in the Asian population where, in contrast
to whites, intracranial arteriosclerosis rather than extracranial arteriosclerosis is the main cause of stroke (Gorelick et al 2008, Kim and Kim 2014, Wong 2006). A further
critical point is that two relevant categories, cardioembolism and macroangiopathy, share the same pathogenesis
with embolism leading to territorial infarcts. In cardioembolism this mechanism refers to all strokes, as the name
implies. In macroangiopathy artery-to-artery embolism
is the main mechanism. However, hemodynamic strokes
with BZI or impaired embolic clearance may also occur in
extra- and intracranial macroangiopathy, and a third possibility, intracranial macroangiopathy (plaque or thrombus formation) causing perforator artery occlusion, has to
be taken into account.
A fi rst adaptation of the TOAST system was published
in 2005 and called Stop-Stroke-Study TOAST (SSS-TOAST).
There, embolic infarctions with stenosis of the corresponding vessel less than 50% were classifi ed as large-
vessel disease. The size of lacunar infarcts was changed
from <15 mm to <20 mm and even more, if no other
stroke category seemed likely. Applying this approach resulted in a marked reduction of numbers in the group of
undetermined stroke etiology (Ay et al 2005). In 2009 the
ASCO system was presented (Amarenco et al 2009). In this
acronym A stands for “atherosclerosis,” S for “small-vessel
disease,” C for “cardiac source,” and O for “other causes.”
Each of the four categories was additionally graded according to the level of diagnostic certainty: 1, defi nite;
2, potential; 3, unlikely; and 0, absent. A 9 is given if
no grading is possible. A patient with atrial fi brillation,
small lacunar stroke, and diabetes would be classifi ed as
A3-S1-C1-O3. The defi nition of the stroke categories was
adapted from the TOAST system. However, the required
grade of ipsilateral intra- or extracranial stenosis for A1
was defi ned to be at least 70% and for A2 to be 50–70%. A
couple of years later, the same group extended the score
by including a category D for dissection (ASCOD system).
Simultaneously, the required grade of stenosis for A1 was
changed to 50–99% and for A2 to 30–50% (Amarenco et al
2013)—but the problem of stroke caused by macroangiopathy in cases of stenosis <50% still remains.
Asian proposals to classify stroke mainly focus on intracranial atherosclerosis. Defi ning intracranial stenoses
<50% as causative if the stenosis matches the infarction
pattern led to a higher proportion of large-vessel disease
compared with small-vessel occlusions (J.T. Kim et al
2006). A further modifi cation included the defi nition of
a small-vessel stroke if a single subcortical stroke in the
territory of a perforator was visible and no macroangiopathy on angiography was detectable (Han et al 2007).
Recently a Chinese group suggested considering largeartery disease if any degree of parental artery stenosis or
even a plaque was present in high-resolution MRI (Gao
et al 2011).
None of the latter proposals has so far become generally accepted and TOAST remains the most used
stroke classifi cation system. However, considering the
global burden of stroke, the high prevalence of intracranial large-vessel diseases in the Asian population,
the above-discussed diverse causes of stroke to be determined, and the advances in noninvasive imaging
methods such as high-resolution MRI and ultrasound
techniques, new classifi cation systems with worldwide
acceptability will inevitably emerge.
Microembolic Signals
Ultrasound permits the detection of spontaneous as
well as artifi cially induced microembolic signals (MES)
which appear within the Doppler spectrum in the form
of high-intensity transient signals (HITS). Spontaneous
MES might be derived from embolic sources within the
heart or from mostly atherosclerotic vessel wall changes
of the brain-supplying arteries. Artifi cial MES, induced by
intravenous injection of an echo contrast agent, are used
for the detection of right-to-left cardiac or pulmonary
shunts (RLS).
Spontaneous Microemboli
Following the introduction of transcranial Doppler (TCD)
as a routine clinical diagnostic method more than 30 years
ago, the phenomenon of MES assessed by TCD was quickly
discovered. The occurrence of MES during carotid endarterectomy in 1990 was the fi rst systematic description
(Spencer et al 1990). To date Doppler sonography is still
the only diagnostic method that can detect clinically silent
emboli originating from the heart or (supra-)aortal vessels. This is easily achieved by continuous Doppler spectrum monitoring of the intracranial arteries but may also
be accomplished by monitoring the neck arteries, e.g., the
extracranial ICA, if the embolic source is presumed to be
located more proximally. For practical reasons (consistent

Fig. A4.28 Spontaneous microembolic signal. TCD, transtemporal
Valdueza et al., Neurosonology and Neuroimaging of Stroke: A Comprehensive Reference, Second Edition (ISBN 978-3-13-141872-2), copyright © 2017 Thieme Medical Publishers
All rights reserved. Usage subject to terms and conditions of license.
approach. Top and bottom: Doppler spectrum analysis at the carotid-T junction, MCA signal above the zero line, ACA signal below
the zero line. Unilateral microembolic signals within the Doppler
spectrum. Note that microembolic signals are present in the MCA
spectrum only, which is an important criterion for diff erentiation
from, e.g., motion artifacts.
and symmetric vessel anatomy) and because of its clinical relevance the main-stem MCA is the most frequently
studied vessel. However, MES can be assessed in any of
the detectable intracranial arteries including the posterior
circulation and the basilar artery (Hwang et al 2012). Recently, transorbital Doppler of the distal ICA was proposed
as an alternative approach in patients with an insuffi cient
acoustic temporal bone window (Saedon et al 2014).
The greatest methodological challenge, which has led
to continuous improvements of the technique, is diff er-
entiating between MES and mechanical or electronic artifacts which are most frequently caused by movements
of the patient. In 1995 diagnostic criteria were published
for the fi rst time:
1. MES have a characteristic clicking or chirping noise
that is easy to distinguish acoustically.
2. The signal intensity is ≥3 dB above the background
noise level of the Doppler spectrum, usually lasting
less than 300 ms.
3. MES occur unidirectionally within the spectrum and
have an irregular temporal pattern without any relation to the cardiac cycle (Consensus Committee
1995, Ringelstein et al 1998) (see Fig. A4.28 and
Video
A4.1).
Physically, MES are caused by an impedance diff er-
ence between blood and embolus, caused by an increased
refl ection of ultrasound waves at the embolus surface.
MES can be caused by thrombocyte aggregations, small
atheroma particles, fat particles, or small gaseous microbubbles. The signal intensity of a MES increases with its
size but also depends on its composition: Gaseous emboli cause higher impedance diff erences than solid par-
ticles and solid atheromatous particles result in stronger
signals than thrombocyte aggregations. As both factors
infl uence signal intensity simultaneously, no conclusion
can be drawn about size and composition from the ultrasound signal (Markus and Brown 1993).
101Microembolic Signals
The number of spontaneous MES that can be detected over time varies considerably. In MCA stenosis up
to 102 per 30 minutes have been reported (Gao et al
2004). Generally, however, MES counts are far lower. In
patients with carotid, aortic, or cardiac embolic sources
MES counts vary between 0 and 13 per hour. If analyzed
over 4 hours, even more intraindividual variations, e.g.,
between 0.25 and 8 per hour, can be found (Droste et al
1996). This makes standardized evaluations problematic: they are time consuming and expensive, as ideally
long-time online observations over several hours would
be required. Furthermore, several approaches including
the use of a neuronal network, multichannel techniques,
and automated embolus detection have been developed.
However, their diagnostic reliability does not yet compare
with the analytic abilities of an experienced sonographer
(Cullinane et al 2000, Kemény et al 1999, Ringelstein et
al 1998). For practical reasons, the current consensus is a
compromise and includes detection of microembolic signals over a period of 1 hour.
Clinical Applications
In general, MES originate from the heart or the brain-supplying arteries. MES of cardiac source typically occur
bilaterally, i.e., in any insonated vessel. MES caused by
supra-aortic vessel diseases usually occur downstream
ipsilateral to the side of the embolic source, e.g., an ICA
stenosis. However, in the anatomic ACA variant, in which
both ACA territories are supplied by one A1-ACA-segment, emboli from an ICA stenosis may also enter the
contralateral A2-ACA segment.
MES in Cardiac Sources of Embolism
MES can almost always be identifi ed during cardiac sur-
gery, especially during aortic clamping as well as during
the initial phase of reperfusion (Barbut et al 1994). A
potential relationship between the number of MES and
the occurrence of postoperative cerebral ischemia or of
neuropsychological defi cits has been postulated (Barbut
et al 1997, Clark et al 1999, Sylivris et al 1998). MES can
frequently be found in patients with artifi cial heart valves
which cause cavitation-induced microbubbles (gaseous
MES). The extent of these strongly depends on the type
of the implanted valve (Sliwka and Georgiadis 1998). The
question whether MES may in addition be caused by emboli from valvular thrombi (solid MES) is still being debated, as an unequivocal diff erentiation between gaseous
and solid MES is not possible (Dittrich and Ringelstein
2008). MES have also been observed in other cardiologic conditions such as symptomatic and asymptomatic
atrial fi brillation, congestive heart failure, myocardial in-
farction, cardiomyopathy, endocarditis, patent foramen
ovale, aortic or mitral stenosis, or patients with intracardiac thrombi. The prevalence of MES might be similar
between these diff erent cardiac diseases and therefore
is not helpful for diff erentiating between them (Sliwka
et al 1995). Interestingly, there is so far no evidence that
MES are a true predictor of the occurrence of stroke in
the above conditions (Cullinane et al 1998, Dittrich and
Ringelstein 2008, Georgiadis et al 1997). For instance, in
patients with cardioembolic stroke, only 38% of patients

102 4 Pathogenesis of Stroke
Valdueza et al., Neurosonology and Neuroimaging of Stroke: A Comprehensive Reference, Second Edition (ISBN 978-3-13-141872-2), copyright © 2017 Thieme Medical Publishers
All rights reserved. Usage subject to terms and conditions of license.
demonstrate MES immediately after the event, signifi -
cantly decreasing over time (Sliwka et al 1997b).
MES in Arterial Sources of Embolism
A large number of studies have been conducted in carotid
surgery. Here, a raised MES incidence correlates with the
occurrence of postoperative cerebral ischemia (Ackerstaff
et al 1995). In particular the number of postoperative
MES seems to correlate with the risk of recurring ischemia and local postoperative thrombosis (Ackerstaff
et al 2000, Levi et al 1997). Depending on the applied
technique, percutaneous angioplasty might lead to the
occurrence of MES. However, a correlation with ischemic
events or clinically silent new DWI lesions on MRI has not
been found (Jordan et al 1999, Rosenkranz et al 2006).
Numerous studies have analyzed the impact of MES on
the stroke risk in carotid stenosis. A meta-analysis of 19
studies confi rmed a signifi cantly higher prevalence of MES
in patients with high-grade carotid stenosis and in symptomatic (43%) compared with asymptomatic (10%) carotid stenosis (Ritter et al 2008). In another meta- analysis
of eight studies the same authors found a signifi cantly
increased risk of TIA and stroke in patients with MES compared with MES-negative cases with symptomatic as well
as asymptomatic carotid stenosis. Furthermore, MES in patients with TIA indicate a higher ischemic stroke risk (Liu
et al 2013). These fi ndings were confi rmed in a large pro-
spective observational trial, the Asymptomatic Carotid
Emboli Study (ACES), which analyzed 467 patients with
asymptomatic carotid stenosis of at least 70% according
to NASCET criteria. The absolute annual risk of ipsilateral stroke or TIA was 7.13% versus 3.04% and remained
s i g n i fi cant after controlling for anti platelet therapy, degree
of stenosis, and other vascular risk factors (Markus et al
2010). The assumption that MES are an independent risk
factor of stroke is supported by further studies. In patients
with asymptomatic carotid stenosis a hypoechoic plaque
morphology indicates a higher stroke risk which increased
signifi cantly further in MES-positive patients (Topakian et
al 2011). Neovascularization and infl ammation within the
plaques, known as further factors of vulnerability, were
also associated with MES occurrence (Moustafa et al 2010,
Zhou et al 2013). However, contradictory results have been
reported regarding the prevalence of MES in ulcerating
plaques (Stork et al 2002, Valton et al 1995). Furthermore,
MES seem not to be associated with intraplaque hemorrhage or ruptured fi brous cap, which have been identifi ed
as signs of plaque vulnerability in symptomatic carotid
stenosis (Truijman et al 2014).
Carotid endarterectomy of ICA stenoses is known to
reduce MES (Siebler et al 1994a, van Zuilen et al 1995).
Contradictory results have been published regarding the
effi ciency of medical secondary MES prevention in symp-
tomatic carotid artery stenosis. A fi rst study found that
intravenous heparin reduces the number of detectable
MES (Siebler et al 1994b) which was not confi rmed by
a second study (Georgiadis et al 1994). More consistent
data are available regarding platelet aggregation inhibitors. They do reduce the number of MES, and patients
who have a medication-induced reduction of MES revealed a notably lower risk of re-ischemia (Goertler et al
2002). Dual antiplatelet therapy with clopidogrel and
aspirin more eff ectively lowered MES than aspirin alone
in patients with recently symptomatic ICA or MCA stenosis, as has been shown in the CARESS and CLAIR studies (Markus et al 2005, Wong et al 2010). A signifi cant
decline of MES and cardiovascular events was reported
due to a combined nonmedical and medical therapy of
several vascular risk factors (Spence et al 2010). Of note,
depending on the underlying stroke etiology, the number
of detectable MES changes over time. In many cases they
decrease with increasing elapsed time to the ischemic
event (Grosset et al 1994, Lund et al 2000).
Acute cervical artery dissection is another cause of
MES, especially in patients who present with stroke (Ritter et al 2008). It also indicates a higher risk of stroke in
patients with dissection in whom cerebral ischemia is not
the initial disease manifestation (Molina et al 2000). Approximately one-third of patients with suspected aortic
embolism show MES with a higher prevalence in patients
with large plaques compared with patients with smaller plaques (Ritter et al 2008). However, no data exist to
indicate whether MES in these patients predict a higher
stroke risk.
Unlike extracranial arterial stenoses, asymptomatic
intracranial stenoses usually do not cause MES (Segura
et al 2001, Sliwka et al 1997a). MES however are present in symptomatic intracranial stenosis with the highest
prevalence in the acute stage (Ritter et al 2008). In a large
study including 114 patients with acute symptomatic
MCA stenosis a high MES count was the only predictor
of recurrent stroke (Gao et al 2004). In intracranial MCA
stenosis and proximal extracranial ICA stenosis, analyses
of pre- and poststenotic MCA segments facilitate the allocation of the embolic source in patients with competing
stenoses (Nabavi et al 1996).
In patients with moyamoya disease MES independently predict ischemic cerebral events (J. Chen et al 2014).
In conclusion, MES analysis remains a promising fi eld
of research, giving insight into important aspects of stroke
pathophysiology. MES monitoring can be considered as
an important additional diagnostic tool in patients with
symptomatic and asymptomatic carotid artery stenosis to
assess the risk of recurrent stroke, but has not yet found its
accreditation in diagnostic pathways. The clinical impact
in other arterial or cardiac sources of cerebral ischemia
remains unclear. Foreseeable potential future indications for MES detection could be the analysis of treatment eff ectiveness, e.g., of diff erent antiplatelet agents in
secondary stroke prevention after TIA and stroke and the
detection of critical plaques without relevant stenosis. As
a monitoring tool in interventions of cardiac surgery and
surgery or in interventions of the brain-supplying arteries, TCD is already well accepted worldwide.
Detection of Microemboli in Patent
Foramen Ovale
A patent foramen ovale (PFO) is a remnant of the fetal
circulation present in 20–30% of the population. It can
be directly diagnosed by transthoracic echocardiography
(TTE) or by combined contrast-enhanced and color

103Venous Ischemia
Valdueza et al., Neurosonology and Neuroimaging of Stroke: A Comprehensive Reference, Second Edition (ISBN 978-3-13-141872-2), copyright © 2017 Thieme Medical Publishers
All rights reserved. Usage subject to terms and conditions of license.
A
B
Fig. A4.29 PFO detection. (A,B) Bilateral TCD monitoring of
the right and left MCA Doppler spectrum. Image during Valsalva
maneuver. (A) Grade 3 PFO (>20 HITS, no curtain phenomenon)
according to the consensus criteria. (B) Grade 4 PFO (curtain
phenomenon).
D o p p l e r m o d e s o f t r a n s e s o p h a g e a l e c h o c a r d i o g r a p h y
(TEE), the current gold standard. A recent Medline review
of all prospective studies assessing the accuracy of TEE to
detect a PFO in comparison to autopsy, cardiac surgery,
and/or catheterization found data on 164 patients. The
resulting TEE sensitivity was 89.2% and the specifi city
91.4% (Mojadidi et al 2014a). Indirect PFO diagnosis can
be achieved by TCD analysis. In comparison to TEE, TCD
is more comfortable for the patient, a suffi cient Valsalva
maneuver (VM) is easier to perform, and moreover the
method can detect the rare cases of pulmonary RLS.
H o w e v e r , T C D c a n n o t l o c a l i z e t h e s h u n t a n d s h o u l d t h e r e fore be used primarily as complementary test to TEE. In
TEE-negative patients, TCD PFO testing might be useful in
those with cryptogenic stroke. In a recent meta-analysis
of 27 studies with 1968 patients comparing TCD with TEE
as the reference, TCD attained 97% sensitivity and 93%
specifi city (Mojadidi et al 2014b).
The TCD technique uses intravenously administered
air-containing echo contrast agents that are not capable
of passing through the pulmonary circulation. In case of a
cardiac or pulmonary RLS, these air bubbles pass into the
arterial body circulation and can be detected by TCD in the
form of HITS (Fig. A4.29). TCCS is also able to detect HITS
(Video
4.1). Reports on three types of contrast are avail-
able: mechanically agitated saline containing pure air bubbles alone, agitated gelatin-based solutions (Haemaccel),
or D-galactose-based micro air bubbles (Echovist, Bayer
HealthCare). The production of Echovist was stopped in
2011 and it is no longer commercially available.
An international consensus meeting (Jauss and
Z a n e t t e 2 0 0 0 ) r e c o m m e n d e d a s t r i c t l y s t a n d a r d i z e d
protocol for TCD examination. The patient should be
studied in a supine position with no relevant head elevation. Preferably both M1-MCA Doppler spectra should be
recorded. Examination should be done at rest and during
a VM. The VM has to be practiced before the injection of
the contrast agent. As a measure of an adequate VM, fl ow
velocities during the maneuver fall and will then show
an overshoot several seconds after its end. In antecubital
injection (preferably with a large 18-gauge needle), the
VM can be started as soon as the injection of intravenous contrast (e.g., a mixture of 9 mL of isotonic saline or
gelatine-based solution and 1 mL of air) is fi nished; the
injection should not last longer than 5 seconds. In more
distal venous injection sites (e.g., near the wrist) the VM
should be initiated 5 seconds later. The duration of the
VM itself should be at least 10 seconds.
If used in combination with a VM, all TCD studies have
been shown to reach a sensitivity of 90% and specifi city be-
tween 92% and 100% compared with TEE (Jauss et al 1994,
Klötzsch et al1994, Mas 1996). Adding 1 mL of the patient’s
own blood to the above mixture results in an improved detection of RLS and signifi cantly increased number of HITS
(Gentile et al 2014). Also, the use of a femoral vein injection may be helpful: it has been reported to increase TCD
test sensitivity and may be considered in selected cases
(Gevorgyan et al 2014, Hamann et al 1998).
The magnitude of the RLS can be semiquantitatively
assessed by counting the number of HITS in both MCAs.
Following the consensus conference of 2000 on TCD PFO
diagnostics, four diff erent grades, separately documented
at rest and during VM for each MCA, can be distinguished
(Jauss and Zanette 2000):
• Grade 1—normal: No HITS.
• Grade 2—small RLS: 1–10 HITS.
• Grade 3—moderate RLS: >10 HITS and no “curtain.”
• Grade 4—large RLS: “Curtain” pattern with uncounta-
ble HITS.
Some authors subdivide the large RLS category further
into a “shower” pattern (>25 HITS) and a “curtain” pattern
with uncountable HITS (Serena et al 2008).
The prevalence of RLS is signifi cantly higher in crypto-
genic strokes than in strokes of known etiology (atherothrombotic, lacunar, cardioembolic) or in healthy subjects.
Particularly large RLS with shower or curtain HITS patterns
seem to be strongly associated with cryptogenic stroke and
a higher risk of stroke (Serena et al 1998). Small studies
suggested that the amount of RLS might correlate with
risk of recurrent stroke in patients with PFO-related stroke
(An zol a e t a l 20 03) . H owev er, the se fi ndings were not con-
fi rmed in a larger prospective study describing a similar
stroke risk in patients without or with small or massive
RLS (Serena et al 2008). In patients with acute RLS- related
ischemic events HITS might rather be associated with a
small ischemic lesion than with territorial infarcts (J.W.
Kim et al 2013). The clinical impact of PFO detection in
cryptogenic stroke, however, is probably low. Three recently published randomized trials, CLOSURE-1, RESPECT, and
the PC-Trial, found no signifi cant diff erences between PFO
closure, anticoagulation, and antiplatelet therapy regarding the recurrent stroke risk (see also Case 22).
Venous Ischemia
Venous stroke diff ers considerably from arterial is-
chemia. It occurs less frequently and often has a subacute
temporal pattern. It is often accompanied by headaches,
has a high incidence of epileptic seizures and intracranial hemorrhage, responds to heparin treatment, and

104 4 Pathogenesis of Stroke
Valdueza et al., Neurosonology and Neuroimaging of Stroke: A Comprehensive Reference, Second Edition (ISBN 978-3-13-141872-2), copyright © 2017 Thieme Medical Publishers
All rights reserved. Usage subject to terms and conditions of license.
Ascending veins to the SSS
Descending veins to the TS/SiS
Deep venous drainage to the StS
Descending veins to the SpPS/CS
Fig. A4.30 Schematic of the venous territories of the brain. (Adapted from Schünke et al 2006; drawing: Markus Voll.) CS = cavernous
sinus; SiS = sigmoid sinus; SpPS = sphenoparietal sinus; SSS = superior sagittal sinus; StS = straight sinus; TS = transverse sinus.
shows a better potential with regard to regression of
clinical symptoms. CVT accounts for <1% of all strokes.
It may present suddenly, mimicking arterial stroke,
and in rare instances may even result in subarachnoid
hemorrhage (Oppenheim et al 2005). The vast majority
of patients, however, develop symptoms over days and
weeks. Intracranial hemorrhage in arterial ischemic
stroke occurs as a reperfusion phenomenon. In CVT, the
venous congestion leads to raised venous and capillary
pressures, which cannot be compensated for and subsequently results in hemorrhage (Villringer et al 1994).
Another diff erence between arterial and venous stroke
is the size of the ischemic penumbra which, as shown in
animal experiments, seems to be larger in CVT (Frerichs
et al 1994). In patients with CVT, the area with a prolonged mean transit time (MTT) in perfusion-weighted
MRI can be considered as the morphologic correlate of
the penumbra (Doege et al 2001). The large proportion
of brain tissue in CVT that is only functionally impaired
explains the frequently observed excellent clinical recovery even in cases with delayed diagnosis and when
venous congestion infarcts or hemorrhage are present.
Similar to the arterial vascular territories, the venous
circulation also comprises areas that correspond to the
drainage of particular veins or sinuses (Fig. A4.30). The
dorsal frontoparietal regions of the cerebral convexity
are drained by ascending superfi cial veins, usually 12 on
each side, which drain into the superior sagittal sinus.
Each vein drains a wedge-shaped area of the frontoparietal cortex. One of these is the slightly dominating
superior anastomotic vein (vein of Trolard) located over
the postcentral region. Within the descending veins, the
inferior anastomotic vein (vein of Labbé) dominates the
posterior aspects, draining the blood from the lateral,
basal, and posterior temporal lobe and itself draining
into the distal end of the transverse sinus, just at the
junction to the sigmoid sinus. The anterior regions, especially the areas around the sylvian fi ssure, are drained
Fig. A4.31 Top: Schematic drawing of venous infarct patterns. (Adapted from Schünke et al 2006; drawing: Markus Voll.)
Bottom: Corresponding radiologic examples. (A,B) Cortical/
subcortical frontal lobe infarction in ascending vein thrombosis.
(C,D) Cortical/subcortical temporal lobe infarction in vein of Labbé thrombosis. (E,F) Bilateral thalamic infarction and basal ganglia
i n f a r c t i o n i n d e e p c e r e b r a l v e i n t h r o m b o s i s .
by sylvian veins which then run toward the sphenoparietal sinus and the cavernous sinus. The deep venous
system, comprising the paired basal veins of Rosenthal
and internal cerebral veins as well as the straight sinus
drains the temporomesial regions, large aspects of the
basal ganglia and the thalamus. Depending on the affected vessels, a venous thrombosis may lead to a corresponding venous territorial infarction as well as to
concomitant clinical symptoms (Fig. A4.31).
Four main clinical patterns can be distinguished relating to the location of thrombosis and involvement
of the parenchyma. In thrombosis of the superior sagittal sinus without involvement of the adjacent cortical
veins, patients may present with isolated intracranial
hypertension, also referred as pseudotumor cerebri.
The only clinical manifestations may then be headaches
and bilateral papilledema but no focal neurologic signs.
Sometimes an additional horizontal diplopia may occur,
caused by cranial nerve VI palsy. In the second and most
common variant an extension of thrombosis to the ascending frontoparietal cortical veins will lead to circumscribed wedge-shaped infarctions which may resemble
circumscribed arterial cortical infarction. Focal motor
or sensory defi cits may be present and are often associ-
ated with focal seizures with secondary generalization.
The risk of seizures is particularly high if the Rolandic
vein within the central sulcus or the vein of Trolard in
the postcentral sulcus is aff ected. Depending of the site
of a cortical vein thrombosis a variety of cortical signs
and neuropsychological syndromes may occur. Because
of the predominant distal affl iction, the leg tends to be
more aff ected, and bilateral signs may be observed. In
transverse sinus occlusion, local signs such as otalgia
and cervical tenderness may be present. Venous infarction within the temporal lobe may lead to aphasia or
other neuropsychological defi cits including confusion if
the vein of Labbé is aff ected. Venous temporal lobe in-
farction may resemble partial territorial MCA infarction

105Venous Ischemia
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or herpes encephalitis. Thrombosis of the deep venous
system is the third typical pattern which mainly leads
to unilateral or bilateral infarctions of the basal ganglia
and/or the thalamus. Bilateral thalamic infarctions may
also be caused by arterial stroke if both thalamoperforating arteries are aff ected, but the resulting infarct area
is usually smaller in size and spares the dorsal thalamic region. Clinically, not only alterations of mood and
consciousness but also extrapyramidal signs have been
observed. The last pattern to be mentioned is (mostly
infectious) cavernous sinus thrombosis which is now
rarely observed. Local signs including orbital pain, chemosis, exophthalmus and cranial nerve III–VI palsies are
typical signs. For neuroimaging and neurosonology in
CVT, see also Chapter 5, “Cerebral Venous Thrombosis”
under “Venous Pathology,” and Case 29.

106
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5
Vascular Pathology
Arterial Pathology . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106
Vessel Wall Pathology . . . . . . . . . . . . . . . . . . . . . . . . . . 106
Tortuosity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107
Intima-media Thickness . . . . . . . . . . . . . . . . . . . . . . 108
Atherosclerotic Plaques . . . . . . . . . . . . . . . . . . . . . . 108
Arterial Stiff ness . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113
Dissection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113
Fibromuscular Dysplasia (FMD) . . . . . . . . . . . . . . . . 114
Vasculitis/Arteritis . . . . . . . . . . . . . . . . . . . . . . . . . . . 115
Carotidynia and Carotid Artery Vasospasm . . . . . . 115
Stenoses and Occlusions . . . . . . . . . . . . . . . . . . . . . . . . 118
Ultrasound Criteria of Stenoses . . . . . . . . . . . . . . . . 118
Ultrasound Criteria of Occlusions . . . . . . . . . . . . . . 125
Extracranial Pathology . . . . . . . . . . . . . . . . . . . . . . . . . . 125
Extracranial Anterior Circulation . . . . . . . . . . . . . . . 125
Extracranial Posterior Circulation . . . . . . . . . . . . . . . 133
Intracranial Pathology . . . . . . . . . . . . . . . . . . . . . . . . . . 138
Stenoses . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138
Occlusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144
Intracranial Posterior Circulation . . . . . . . . . . . . . . . 153
Collateral Pathways . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161
Intracranial Collateral Pathways . . . . . . . . . . . . . . . . 162
Intracranial Collateral Pathways in ICA
Occlusive Processes . . . . . . . . . . . . . . . . . . . . . . . . . 167
Intracranial Collateral Pathways in VA
Occlusive Processes . . . . . . . . . . . . . . . . . . . . . . . . . 172
Extracranial Collateral Pathways in VA
Occlusive Processes . . . . . . . . . . . . . . . . . . . . . . . . . 173
Clinical Relevance of Collateral Pathways . . . . . . . . 173
Venous Pathology . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175
Cerebral Venous Thrombosis . . . . . . . . . . . . . . . . . . . . 175
Superior Sagittal Sinus Occlusion . . . . . . . . . . . . . . 175
Deep Cerebral Venous System Occlusion . . . . . . . . 176
Lateral Sinus (Transverse and Sigmoid Sinus)
Occlusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176
Flow Abnormalities in Cerebral
Venous Thrombosis . . . . . . . . . . . . . . . . . . . . . . . . . . 176
Ultrasonography of the Internal Jugular
Vein in Intensive Care Patients . . . . . . . . . . . . . . . . . . . 178
Central Venous Cannulation . . . . . . . . . . . . . . . . . . 178
Indirect Assessment of Central Venous
Pressure (CVP) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178
Intracranial Stroke-related B-mode
Pathology . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178
Ventricles . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178
Hydrocephalus . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179
Papilledema and Optic Nerve Sheath Diameter . . . . . 179
Midline and Midline Shift . . . . . . . . . . . . . . . . . . . . . . . . 180
Intracranial Hemorrhage . . . . . . . . . . . . . . . . . . . . . . . . 180
Parenchymal Hemorrhage . . . . . . . . . . . . . . . . . . . . 180
Subdural and Epidural Hematoma . . . . . . . . . . . . . . . . 182
Arterial Pathology
Vessel Wall Pathology
On review of the arteries supplying the brain, diff erent
types of vascular and vessel wall alteration as well as different preferential sites may be observed in the large arteries. These changes can be physiologic in nature or may
represent true pathologic fi ndings.
In atherosclerosis, nonlaminar fl ow in the carotid bulb
as well as in the area of bifurcations favors the formation of
atheromas and stenoses, which explains their preferential
sites. Other pathologies are strictly extracranially located,
aff ecting the proximal segments as in Takayasu’s arteritis
or the distal segments as in the dissections, the latter in
part explained by the vessel segments prone to motion
stress and in part by the vessel wall composition which
may play a role in fi bromuscular dysplasia. In contrast,

AB C
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All rights reserved. Usage subject to terms and conditions of license.
Fig. A5.2 DSA, selective CCA fi lling, lateral view, of three patients
with distinct coiling (arrows) of the extracranial ICA: (A) in the distal
segment (not accessible to ultrasound); (B) in the middle (sometimes accessible to ultrasound); (C) proximal ICA (readily accessible
to ultrasound).
107Arterial Pathology
Fig. A5.1 Distribution pattern of macroangiopathic lesions in
the brain-supplying arteries. Pink = atherosclerosis (unilateral or
bilateral), green = fi bromuscular dysplasia (bilateral), dark blue =
Takayasu’s arteritis (bilateral), light blue = dissection (mostly unilateral), gray = carotidynia (unilateral), yellow = moyamoya (mostly
bilateral carotid-T, rare in the proximal PCA), Dotted lines indicate
the junction of the extracranial and intracranial vessel segments.
moyamoya strictly involves intracranial vessels, again presenting a typical pattern at the carotid-T, but also in the
proximal posterior cerebral artery (PCA) (Fig. A5.1).
Tortuosity
Vessel tortuosity is a frequent fi nding in extracrani-
al brain-supplying arteries (Fig. A5.2) and can often be
visualized by duplex ultrasound in proximal locations
(Fig. A5.3). The general reported incidence varies between 10% and >40%, depending on the population studied (Ballotta et al 2005, Huber 1982, La Barbera et al 2006,
Perdue et al 1975, Togay-Işikay et al 2005, Weibel and
Fields 1965). Age and continuous strain due to long-term
arterial hypertension as well as vessel wall alterations
within the tunica media of the aff ected arteries have been
suggested as potential underlying precipitants (Del Corso
et al 1998, La Barbera et al 2006). Vessel tortuosity can be
diff erentiated into three main groups (Fig. A5.4):
Fig. A5.3 Extracranial duplex, longitudinal view. Left: B-mode insonation revealing an S-shaped ICA elongation. Right: Color-mode
image of the same vessel segment.
• C- or S-shaped elongation with angles >90°.
• Coiling of the artery up to 360°.
• Kinking, considered as a variant of coiling with an angle
<90°, likely to result in a lumen reduction and subsequent vessel narrowing.
Within the internal carotid artery (ICA), a straight vessel
course is seen in 65–70% of individuals, a curved course
in 23%, and coiling (including kinking) in 9–16%. Following
Weibel an d Field s ( 1965 ) an in itial tor tuous C- or S-shaped
elongation over ~4 cm in length occurs twice as often bilaterally as unilaterally, usually aff ecting individuals old-
er than 50 years. Coiling is usually found 4–8 cm distal of
the bifurcation without side-to-side preferences and equal
frequency bilaterally and unilaterally without any reported age dependency. Routine ICA ultrasound insonation
should therefore be performed over the whole visible vessel
length and as far distally as possible. Kinking predominantly involves the ICA, 2–4 cm distal of the bifurcation and is

108 5 Vascular Pathology
Valdueza et al., Neurosonology and Neuroimaging of Stroke: A Comprehensive Reference, Second Edition (ISBN 978-3-13-141872-2), copyright © 2017 Thieme Medical Publishers
All rights reserved. Usage subject to terms and conditions of license.
A
B
C
Fig. A5.4 Left: Schematic of the three types of vessel tortuosity:
(A) C- or S-shaped elongation with angles >90°, (B) coiling of the
vessel up to 360°, (C) kinking with angles <90°. Right: Corresponding color-mode images.
more common in elderly people. Unilateral kinking is twice
as frequent as bilateral. There are no extensive analyses on
the prevalence of kinking and the related grade of stenosis.
The clinical importance of these vessel changes is under
debate. Some authors regard elongations as an anatomic
variant without any clinical implications (Togay-Işikay et al
2005), whereas others consider them to be responsible for
symptomatic cerebrovascular disease (Ballotta et al 2005).
Particularly problematic in this context is that elongations
and atherosclerotic vessel changes frequently coexist, so a
confi dent diff erentiation of causal proportion is diffi cult.
Whenever elongations are found in symptomatic patients,
careful consideration should be given to whether the symptoms match the aff ected vessel and if other potential causes
are not being overlooked. Kinking and coiling seem to be related to carotid artery dissection (Saba et al 2014) whereas
vessel elongations or tortuosity are not (Dittrich et al 2011).
Intima-media Thickness
Within the process of developing atherosclerosis the fi rst
observable sign of vascular alteration may be an increasing intima-media thickness (IMT). However, increased
IMT may not only refl ect atherosclerosis but may also
occur in other conditions that lead to smooth muscle cell
hyperplasia or fi brocellular hypertrophy (Touboul et al
2012). IMT can only be analyzed with duplex ultrasound.
High insonation frequencies increase the spatial resolution and are therefore recommended. According to the
Mannheim consensus criteria, IMT is defi ned as follows:
IMT is a double-line pattern visualized by B-mode sonography on both walls of the carotid arteries in a longitudinal
image. It is made up of two parallel lines, which consist of
the leading edges of two anatomic boundaries: the interface between the lumen and the intima and the interface
between the media and adventitia (Fig. A5.5). IMT measurements should be performed in regions without atherosclerotic plaque, preferably in the CCA, but may also be
0.5 mm
QIMT 459 µm
SD 13 µm
Fig. A5.5 Extracranial duplex, B-mode insonation, longitudinal
view. Top left and ri ght : Single-point manual measurement of
a normal (0.5 mm) and a pathologically raised IMT (1.4 mm)
of the CCA. Bottom left and right: Multipoint automated IMT
measurements of the CCA over a 2-cm distance given as mean ±
standard deviation (normal 0.459 ± 0.013 mm, pathologic 1.326
± 0.095 mm).
1.4 mm
QIMT 1326 µm
SD 95 µm
performed in the carotid bulb as well as the ICA. If possible,
measurements should be made on the far wall as near-wall
evaluations are less reliable. Either manual measurements
or an automated system can be used for IMT determination
(Fig. A5.5). The latter allows repeated measurements with-
in a predefi ned vessel segment (preferably ≥10 mm) in a
short time, the former requires rigorous quality control to
keep the intra- and interobserver variability low (Touboul
et al 2012). No consensus exists regarding the question
of whether the maximum IMT or a mean IMT should be
used and if the right and the left side should be averaged,
as IMT values seem to be higher on the left side (Rodríguez
Hernández et al 2003). Population-based values of IMT
vary depending on age, gender, and ethnicity (Tabl e A5 .1)
(Howard et al 1993). There is no clear accepted defi nition
of a raised IMT but a size >1 mm is generally considered
abnormal. Raised IMT values have been associated with
several classic vascular risk factors such as hypertension,
smoking, cholesterol, homocysteine levels, C-reactive protein, and the presence of a metabolic syndrome or coronary artery disease (Crouse 2006). Prospective analyses
have demonstrated that raised IMT values are associated
with an increased number of myocardial infarctions and
stroke in the elderly population, indicating a predictive
value for future vascular events (Lorenz et al 2007, O’Leary
et al 1999, Polak et al 2011, Silvestrini et al 2013).
Atherosclerotic Plaques
Loss of laminar fl ow at a bifurcation or vessel widening
like the carotid bulb leads to increased vessel wall shear
stress and subsequently causes initiation and promotion of
vessel wall arteriosclerosis and plaque formation in conjunction with vascular risk factors and age. It seems that
the left carotid bulb is more vulnerable than the right for
the development of atherosclerosis. In a large stroke-free
population studied using MRI, bilateral plaques were seen
in 85% but unilateral plaques were twice as prevalent on
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