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Ординатура / Хирургия / Библиотека им академика М.И. Перельмана / Книга_4533_Библиотеки_им_академика_М_И_Перельмана

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U. Meyer
tree-making methods, which infer taxonomies from very large datasets using explicit stochas­tic models of diverging organism traits during speciation [ 8].
6.3 Current Concepts ofDisease Classication
Many diseases (e.g., cancer, chronic inamma­tory diseases) in the current disease taxonomies have either high genetic heterogeneity [9, 10] or manifestation diversity [1113], which give little basis for tailoring treatment to a patient’s patho­physiology. This is also the situation in most cra­niofacial malformations.
Therefore, a deep understanding of diseases based on the advances in disease biology, bio­informatics, and multi-omics data may help in the reclassication of disease taxonomy [14]. In the past decade, efforts to reclassify diseases based on molecular insights have increased with studies related to molecular-based disease sub­typing in different disease conditions. Given the molecular network mechanisms [15, 16], genetic pleiotropy [17], as well as complicated genotype-phenotype associations underlying diseases, the establishment of a molecular-based disease taxonomy with clear boundaries is essen­tial but challenging.
In regard to the ICD classication, authors like Zhou etal. [18] found that although gen­eral correlations exist between disease close­ness in ICD taxonomy and underlying molecular proles, ICD still displays signi­cant limitations with regard to the heterogene­ity of molecular diversity and clear category boundaries. Recent studies show that a disease with a high molecular diversity tends to be classied into multiple disease categories, which indicates that there exist more disease subtypes for that disease. Despite the efforts made in data integration methods that utilized multiple types of data (e.g., ontological and omics data), the development of a molecular based disease taxonomy that links molecular networks and pathophenotypes still remains challenging [1921].
6.4 Genetic Access toNormal andDisturbed Head Formation
In order to gain access to a more genetically based classication of craniofacial malforma­tions, it is important to have insight into the genetic principles of normal and abnormal tissue development in the craniofacial region. Inborn or acquired craniofacial malformations are based on a disturbance or disbalance of the normal growth process. Therefore, it is essential to elaborate the classication on the kind of the disturbance. Disturbances can generally be based on genetic or non-genetic aspects. The size and growth of each of the facial bones (Fig. 6.3) are in part genetically predetermined, yet environmental inuences play a role. The chromosomes and hundreds of genes are controlling the coordinated patterning, proliferation, and differentiation of tissues having multiple embryological origins. Malformations can be based on disturbances of a chromosomal, genetic, epigenetic, or external level (Fig.6.4). They can be also complex with features from each level. The underlying cause of some malformations is well known; others are under investigation and not yet claried or even not known at all [22].
Development of the craniofacial skeleton and the subsequent outcome of the whole hard and soft appearance is a highly orchestrated and com­plex three-dimensional morphogenetic process. These dynamic events are on one hand spatio­temporal and on the other hand time and tissue dependent (Fig.6.5). Malformations can occur in all tissues. Complex ectodermal-mesodermal interacted tissues like teeth can be present as complex hyper-numerations of teeth.
The development of the face involves a coor­dinated complex series of embryonic events. From the moment of conception, the parental environment can inuence the development of the fetus. Facial development occurs very early at a time when the mother is not always aware that she is pregnant. The developing fetus may be subject to adverse genetic or environmental stim­uli (smoking, alcohol and drug intake, allergens, physical forces in the maternal body, others).
Of Sphenoid Bone
Of Palatine Bone
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Frontal Bone
Temporal Bone
Orbital Process
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Parietal Bone
Lesser Wing
Greater Wing
Of Sphenoid Bone
Orbital Lamina Of Ethmoid Bone
Fig. 6.3 The skull represents the most complex 3D bone conguration of the whole body. Source: Reprinted from sti-
hii/Shutterstock.com with permission
Recognizable features of the human face develop around the fourth week of gestation (Fig.6.5) and are closely related to cranial neural crest cells [23]. The facial processes fuse at different times; maxillary, 6weeks; upper lip, 8weeks; and pal­ate, 12weeks [24, 25] (Fig.6.6). Molecular stud­ies have shown that the growth, structure, and patternation of the facial primordia are controlled by a series of complex genetic interactions that involve dened genes, producing various cyto­kines such as broblast growth factors, sonic hedgehog proteins, bone morphogenetic proteins, homeobox genes Barx1 and Msx1, the distal-less
Lacrimal Bone
Perpendicular Plate
Of Ethmoid Bone
Middle Nasal Concha
Of Ethmoid Bone
Inferior Nasal Concha
Vomer
Nasal Bone
Zygomatic Bone
Maxilla
Teeth
Mandible
homeobox (Dlx) genes, and local retinoic acid gradients [2632]. The fusion between the facial processes depends on a series of events involving cell migration, growth, adhesion, differentiation, and apoptosis (Fig.6.7). Disruptions in the fusion of the facial processes may result in complete or partial clefts of the face, lip, and/or palate. All events are closely interacting and therefore spe­cically susceptible to dysregulation as evi­denced by the high proportion of congenital defects that involve the skull and face. Whereas genetics play a pivotal role, most modiable environmental factors have only subtle effects on
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Cromosome variance
Gene alteration
Epigenetic change
Environmental
Fig. 6.4 Biological basis of craniofacial diseases.
Source: Reprinted from top-top vchal/Shutterstock.com, top-middle: ktsdesign/Shutterstock.com, middle-bottom:
MoleculeQuest/Shutterstock.com, bottom-botoom: Olga Moonlight/Shutterstock.com with permission
the face, except for strong environmental inu­ences (fetal alcohol syndrome, virus infections).
Craniofacial malformations occur through the abnormal development (including cleft lip and/or palate, craniosynostosis, branchial arch diseases, conjoined twins, head deformations, others) dur­ing the gestational process. The whole gestational period is known to be very vulnerable. The result­ing facial malformations comprise over one-third of all congenital birth defects, demonstrating the highest complexity of skull formation throughout the body. Whereas high-throughput sequencing has recently led to the identication of many new causative disease genes and functional studies have claried their mechanisms of action, some dened chromosomal alterations or gene defect­related craniofacial diseases are long known.
Genetic studies of craniofacial Mendelian traits are well known to be involved in craniofacial devel­opment or genetic syndromes affecting the face.
Down syndrome, Cri du chat syndrome, van der Woude syndrome, Prader-Willi syndrome, and Treacher Collins syndrome mostly present with facial abnormalities and have dened chromosomal or gene alterations. The altered facial appearance and the relation to normal facial development [33,
34] have been investigated intensely. In contrast to
such dened chromosomal or gene-based craniofa­cial diseases, most malformations cannot be deni­tively related to singular genetic alterations.
Genome-wide association studies (GWAS) have therefore investigated the association between normal facial variation and millions of single nucleotide polymorphisms (SNPs). GWAS studies coupled with high-resolution three­dimensional imaging of the face (as a documen­tation system) have enabled the study of the spatial relationship of facial landmarks in great detail. Twin studies have historically been employed to explore the relative genetic and environment inuence on facial shape (Fig.6.8a) exploiting the genetic differences between mono­zygotic and dizygotic twins [35]. Twin studies suggest that 72–81% of the variation of height in boys and 65–86% in girls are due to genetic dif­ferences with the environment explaining 5–23% of the variation [36]. Similar levels of genetic­environmental contributions have been reported for some other facial features (Fig.6.8b).
6.5 Pathogenetic Access
toNormal andDisturbed Head Formation
The head with the highly complex three­dimensional structure of underlying bones is the scaffold for the facial connective tissues, the musculature, vasculature, and associated inner­vation. Collectively these tissues are derived from endoderm, mesoderm, ectoderm, and cra­nial neural crest cells (CNCCs) and their deriva­tives (Fig.6.9). Signalling between these cellular components and the craniofacial mesenchyme (formed primarily by CNCCs with a mesodermal contribution) provides positional cues and regu­lates growth and differentiation [37]. During undisturbed embryogenesis, the rst and second
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Fig. 6.5 (a) OPT, (b) CBCT and cross-sectional radio-
graph of dental malformations. The high number of com­plex teeth-Anlagen represents a temporal, spatial, and ectodermal-mesodermal tissue dys-development. (Source: Ulrich Meyer, informed consent of patient exists). (c)
branchial arches form facial prominences that develop into specic craniofacial and skeletal structures [38, 39]. Portions of the rst branchial (or mandibular) arch develop into the skeletal, muscular, and neural elements of the mandible, whereas the dorsal edge of the rst branchial (or hyomandibular) cleft forms the auditory meatus.
Cross-sectional radiograph of dental malformations. The high number of complex teeth-Anlagen represents a tem­poral, spatial, and ectodermal-mesodermal tissue dys­development. (Source: Ulrich Meyer, informed consent of patient exists)
type is Treacher Collins syndrome (Fig.6.11) [41]. Aberrant neural crest cell differentiation, on the other hand, results in premature suture mesen­chyme ossication, which fuses the calvarial bones (craniosynostosis, Fig.6.10) consequently restrict­ing skull growth and impacting upon facial and brain growth, development, and maturation [42].
Manifestations of rst and second branchial arch anomalies depend on which phase of neural crest cell development is disrupted (formation vs. differentiation, Fig.6.10) [40]. For example, if neu-
6.6 Aspects ofDisease-Related Phenotype Documentation
ral crest cell formation is perturbed, such as few neural crest cells are produced or they fail to migrate to nal destinations, this can result in phe­notypes like branchial arch diseases or cleft palate. One of the characteristic disorders of this abnormal
Most craniofacial classication systems try to elaborate a disease-appearance relationship. Therefore, not only the investigation and stan­dardization of the pathogenesis are important; a
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1st Branchil Arche
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standardized documentation and morphological nomenclature system is a pre-requisite for a good classication system.
The facial surface is readily visible and identi­able with a close relationship to the underlying cartilaginous and skeletal structures [4347]. Differences in relative size, shape, and spatial arrangement (vertical, horizontal, and depth) between the various facial features (e.g., eyes, nose, lips, etc.) make each individual human face unique, although closely related individuals such as monozygotic twins have very similar facial structures. Standardized information on an indi­vidual’s facial morphology (e.g., by the use of dened investigation settings) is important for classication systems (Fig.6.12).
There are many imaging systems available to capture the external facial surface topography
Entoderm
Mesoderm
Ectoderm
2nd Branchil Arche
3rd Branchil Arche
Branchial Cleft
Branchial Pouch
4th Branchial Arche
Mandibular Arch
Hyoid Arch
Thyrohyoid Arch
Unnamed
such as photography, lasers, photogrammetry, optical 3D scans, magnetic resonance imaging (MRI), computerized tomography (CT), and cone beam computerized tomography (CBCT). Many of these techniques have been evaluated in terms of facial coverage, speed of capture, pro­cessing time, accuracy, validity, and cost [4750]. For an individual who can sit still with a neutral facial posture in natural head position, the speed of capture is not critical. Even with relatively long acquisition times for some photogrammet­ric, MRI, CT, and CBCT systems, facial land­mark reliability of less than 0.5 mm can be achieved [5153]. For infants and individuals with unpredictable facial or bodily movements, a faster acquisition time will be required although reliability of achieving the same facial posture will be signicantly reduced.
Masticatoey Muscles (Temporalis, Masseter, Lateral Pterygoid, Medial Pterygold), Mylohyold, Digastric (Anterior Belly), Tensor Tympani, Tensor Veli Palatini
Cranial Nerve V (Mandibular Nerve From The Trigeminal)
Malleus And Incus, Portions Of the Mandible, Meckel’s artilage, Sphenomandibular Ligament, Anterior Ligament Of Malleus
Migmetic Facial Muscle, Stylohyoid Muscle Digastric Muscle (posterior Belly)
Cranial Nerve VII (Facial Nerve)
Stapes, Styloid Process Of The Temporal Bone, Lessor Cirnu Of Hyoid Bone, Upper Part Of Hyoid Body
Stylopharyngeus Muscle
Cranial Nerve IX
(Glossopharyngeal Nerve) Greater Cornu Of Hyoid Bone Lower Part Of Hyoid Body
Pharyngeal And Laryngeal Muscles
Cranial Nerve X (superior And Recurrent Larygeal Nerve)
Laryngeal Skeleton (Thyroid Cartilage, Oricoid Cartilage, Arytenoid Cartilage, Corniculate And Cuneiform Cartilage)
Larygeal Orifice
Fig. 6.6 Initial phase of facial development on the basis of the branchial arch system. Source: Reprinted from top:
stihii/Shutterstock.com, bottom: stihii/Shutterstock.com with permission
Neural Tube
vical Depression
Branchial Arch IV
6 Classication ofCraniofacial Malformations
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Branchial Groove III
Branchial Arch III
Branchial Groove II
Branchial Arch II
Branchial Groove I
Branchial Arch I
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Cer
Mandibular
Process
Optic Placode
Maxillary Process
Nasal Placode
Frontonasal Prominence
Umbilical Cord
Lower Limb Bud
Fig. 6.6 (continued)
Standardized clinical facial charts/tables/mea­sures are routinely used for newborns (e.g., head circumference, body length). Various specialties such as maxillofacial surgery and orthodontics use published norms for different treatment deci­sions. Phenotype analysis is used to identify indi­viduals who fall within the normal range and identify any facial dysmorphologies, but these clinical charts are one descriptions of an altera­tion. They are of limited value, when details of a disease manifestation are important for classications.
6.7 Craniofacial Classication
Models
Classication models should ideally be aimed to disentangle parental biological contributions to heritable traits from environmental factors. Models should also try to incorporate the etiology
Dorsal
Flexure
Upper
Limb Bud
Heart
Liver
Primitives Segmaents
of the disease and give respect to the situation that in a lot of craniofacial anomalies, affected and unaffected family members are present. Even nowadays, classication systems are often based on the group of persons who have developed such classication systems. For example, the geneticist might focus on discernible phenotypic differences and heritability, while the surgeon concentrates on appearance and function, and the developmental biologist centers on gene expression and tissue morphogenesis. Many systems have been devel­oped to classify craniofacial malformation pat­terns to facilitate diagnosis, management, surgical treatment, and research. The use of imprecise ter­minology in facial appearance description as well as the growing appreciation of the spectrum of phenotypes that are encompassed by this term adds to the confusion. Yet, pediatricians, surgeons, speech pathologists, nutritionists, geneticists, and developmental biologists often classify craniofa­cial malformations differently. Much of this
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Trigeminal Nerve (V)
Styloid Process Of
Fr
Fr
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Geniculate Nerve (VII)
Glossopharyngeal
Nerve (IX)
Vagus Nerve (X)
1st Pharyngeal Arch With
Pharyngeal Arch Nerve (Mandibular Arch)
2nd Pharyngeal Arch With
Pharyngeal Arch Nerve (Hyoid Arch)
3rd Pharyngeal Arch With Pharyngeal Arch Nerve 4th Pharyngeal Arch
With Pharyngeal Arch Nerve
(Fifth Rudimentary Only)
U. Meyer
Malleus
Sphenomandibular
Ligament
Meckel’s Cartilage
Incus
Greater Horn
Of Hyoid Bone
Styloid Ligament
Lesser Horn
Of Hyoid Bone
Thyroid Cartilage
Cricoid Cartilage
Stapes
Temporal Bone
Ophthalmic Nerve om Trigeminal Nerve
Maxillary Nerve
From Trigeminal Nerve
Mandibular Nerve om Trigeminal Nerve
Trigeminal Nerve (V)
Facial Nerve
From Geniculate Nerve (VII)
Glossopharyngeal Nerve (IX)
Laryngeal Nerve
From Vagus Nerve (X)
Muscles Of Facial Expression
(Mimetic Muscles)
Masseter Muscle
Anterior Belly
Of Digastric Muscle
Pharyngeal Muscles
Temporalis Muscle
Auricularis Muscles
Occipitalis Muscle
Posterior Belly
Of Digastric Muscle
Stilopharyngeus Muscle
Fig. 6.7 Initial and late phase of facial development on the basis of the branchial arch system. Source: Reprinted from
stihii/Shutterstock.com with permission
undocumented confusion resides also in the dif­fering level of granularity with which each person considers the disorder. Craniofacial malforma­tions are a “difcult-to-dene group” of congeni­tal anomalies named after the anatomical location of a given defect present at birth. According to working denitions, it could include any etiologic category (chromosomal, environmental, Mendelian, multifactorial, etc.), as well as any pathogenetic mechanism (malformation, defor­mation, disruption, dysplasia), or any clinical cat­egory (developmental eld complex, isolated defect, sequence, syndrome, etc.) [54]
Orofacial clefting as the most common cranio­facial malformation is a typical example of a classication problem, because it is a birth defect with wide different genetic and pathophysical patterns and a broad range of phenotypic vari­ability. Studies using population-level data have detected signicant associations between sub­classes of cleft types and specic genomic
regions. Such subclassication is also likely to be critical for identifying and understanding envi­ronmental contributions to clefting and resolving issues related to the optimal surgical approaches for CL repair. The benets of describing cleft phenotypes with detail, accuracy, and reproduc­ibility have been well-described [55].
As craniofacial malformations are relatively rare conditions that exist in a multitude of pat­terns and in varying degrees of severity, histori­cally systems of classication either have been arbitrary or could not be standardized because of extreme or bizarre distortions. Additionally, there has been no unanimity of terminology or satisfac­tory standardization of the classication of the innumerable craniofacial syndromes. At present, there are over 700 craniofacial syndromes, with new syndromes being described and published at the rate of 25–50 per year [56, 57]. From a his­torical perspective, several of the craniofacial malformations are identied according to the
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b1 b2 b3
Fig. 6.8 (a) Facial appearance of monozygotic twins is
representative of the strong inuence of chromosomes and genes at conception. (b) Facial appearance of the racer fam­ily Schuhmacher. The resemblance of the faces is indicative
names of the authors who rst described them, such as the Goldenhar, Pierre Robin, Treacher Collins, and Pfeiffer syndromes [5658]. Other malformations are identied by their descriptive appearance and have been given names such as hemifacial microsomia, retromandibulism, and hypertelorism, without regard to their various
for the strong genetic inuence. Source: Reprinted from
a: Milan/Shutterstock.com with permission, b: Top left:
emperornie/wikimedia.org, Bottom left: AngMoKio/wiki­media.org, Top right: SvenMandel/wikimedia.org
causes. Various classication systems are based on anatomic topography, with some authors dividing the face into various regions and others grouping the defects around the brain, sensory organs, or branchial arch system [58, 59]. Burian is credited with the rst attempt to classify the whole range of craniofacial anomalies [59].
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Neural crest cells (green)
cleft lip palate craniosynostosis
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Fig. 6.9 Cranial neural
crest cells (CNCCs) with their migration and differentiation have a great inuence of facial development. Source:
Reprinted from
sciencepics/Shutterstock. com
with permission
Ektoderm (blue)
Mesoderm (red)
Endoderm (yellow)
neural crest cell formation neural crest cell differentiation
Fig. 6.10 Typical diseases of neural crest cell failure. Soucre: Reprinted from left: malost/Shutterstock.com, right:
sciencepics/shutterstock.com with permission
Several subsequent classications were attempted by such authors as Sanvenero-Rosselli [58], Burian [59], and other authors. Tessier, in 1976, was the rst to present an orderly classication system for all the established craniofacial malfor­mations [60, 61]. In order to simplify the nomen­clature of the clefts, Tessier devised a system in which a number is assigned to the site of each malformation, based on its relationship to the sagittal midline. The classication system is purely descriptive, however, and not related to the embryologic development of the malforma­tion or the underlying pathology. Nevertheless, this system has become widely accepted because of the ease of recording and simplicity of com­munication of the various malformations. It also has been found to correlate clinical appearance
with practical surgical anatomy. Van der Meulen [62] introduced a more complete, general cate­gory of craniofacial malformations. He partici­pated in a group of European plastic surgeons who proposed a redenition of terms and a new classication in order to facilitate communica­tion and attempt to avoid confusion among the craniofacial syndromes and embryologic patho­physiology. Their classication represented the collective experience of ve craniofacial sur­geons (van der Meulen, Mazzola, Vermey-Keers, Stricker, and Raphael) working in three different countries (Netherlands, France, and Italy). The van der Meulen etal. schema proposes that the “common denominator” for all the craniofacial malformations is a form of “dysplasia.” Regardless of the cause, an arrest in skin, muscle,
Treacher Collins syndrome
Phenotype documentation
6 Classication ofCraniofacial Malformations
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Fig. 6.11 Facial
appearance of a patient with Treacher Collins syndrome
Fig. 6.12 STL surface representation enables a precise
documentation of facial landmarks. Source: Reprinted from Ryger/Shutterstock.com with permission
or bone development manifests itself as a “focal fetal dysplasia.” The ultimate appearance and severity of the dysplasia depend on the localiza­tion of the area(s) involved and the time the dis­turbance or developmental arrest occurs [62].
At present, there is no one classication that satisfactorily explains all of the various craniofa­cial malformations. Better classications have evolved and are continuing to evolve through
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communication, standardization of terminology, and the advancement of the science of embryol­ogy. There is therefore the need for large clinical, genetic, and etiologic studies especially those that are multi-center or multi-national in nature. Additionally, the use of standardized and detailed phenotypic classication was recognized and urged [
6367]. At the moment, there is not an all-
inclusive classication system present for cranio­facial malformations. An improved classication systems should give correlation between the full phenotypic variability encompassed by the diag­nosis of craniofacial malformations on the basis of morphological, developmental, and patho­genic properties and the genetic and pathogenetic attributes responsible for the heterogeneity of such diseases. Recent insights into the genetics of craniofacial malformations (for review see Richmond [
22] or Ahmed [40]) enable a good
insight between dened gene alterations and dis­ease outcome. A new classication should enable researchers and clinicians to better appreciate the limitations and challenges associated with using disparate classication systems, and in the longer term, the resulting ontology should be of great utility for inter-center studies and population­level genetic investigations.