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310 D. R. Fels Elliott & A. M. Amacher
imaging parameters can be optimized using different ex vivo microscopy technologies in relevant clinical settings.

Intraoperative Evaluation of Surgical Margins

Intraoperative evaluation of surgical margins for the presence of tumor is most often performed using frozen tissue sections with histological stains such as hematoxylin and eosin (H&E) or toluidine blue. Limita­tions of frozen section analysis include damage or loss of tissue from the specimen, additional time taken to freeze and stain tissue, freezing arti­fact including distortion of architecture, and risk of less accurate diag­nosis in comparison to formalin-fixed paraffin-embedded (FFPE) tissue. Ex vivo microscopy has been proposed as a rapid alternative to frozen section analysis using morphological and functional imaging technolo­gies. Morphological imaging techniques involve the characterization of cellular and subcellular structures within tissue using parameters such as shape and density. (CLSM), optical coherence tomography (OCT), photoacoustic imaging, two-photon excited fluorescence microscopy, a nd second-harmonic gen­eration microscopy. In contrast, functional imaging technologies, such as fluorescence lifetime imaging microscopy (FLIM) and Raman-based microscopy, visualize physiologic parameters such as differences in blood flow, metabolism, or chemical composition. Ex vivo microscopy has gained particular interest from clinicians regarding the intraoperative evaluation of margins for breast and skin specimens, and these sites will be the focus of the following sections.
1
Examples include confocal laser scanning microscopy

Applications in breast conservation surgery

Ductal carcinoma in situ (DCIS) and early-stage breast cancers are often treated with breast conservation surgery (BCS) and radiation. The rate of positivemargins in BCS specimens variesfrom 4% to 20% with larger tumor size, multifocality, and the presence of microcalcifica-
6
tions.
Re-excision is generally advised for patients with positive margins
because the risk of local tumor recurrence is two to three-fold higher.
2–5
and correlates
7,8
Ex Vivo
Applications 311
Revision surgery may also be recommended for “close” negative margins that are less than 1 mm or 1–2 mm,
9
so it is desirable for the surgeon to know intraoperatively whether the tumor is at least 2 mm away from the specimen margin. Overall, re-excision rates for patients undergoing BCS range from 11–46%.
10
To address this issue and improve patient care, intraoperative adjuncts such as frozen section analysis, touch preparation (imprint) cytology, and specimen imaging technologies (macroscopic and microscopic) have been proposed. As discussed above, the limitations of frozen section analysis include loss of tissue and longer operation times. An additional challenge is an increased false negative rate in BCS patients
8
who receive neoadjuvant chemotherapy.
Cytologic evaluation with touch preparations has limited utility in BCS specimens because it only samples surface cells and cannot reliably distinguish between in situ and invasive carcinoma. Macroscopic specimen radiography is performed routinely at many institutions and is a useful adjunct to visualize a tumor mass lesion, biopsy clip, or microcalcifications, but generallylacks the resolutionneeded to detect microscopic tumor foci. Several ex vivo microscopic imaging technologies have been proposed to evaluate breast specimen margins, including spectroscopic methods (e.g. radiofrequency spectroscopy, diffuse reflectance spectroscopy, intrinsic fluorescence spectroscopy, and Raman spectroscopy),interferometric methods (e.g. optical coherencetomography and interferometric synthetic aperturemicroscopy) and others. Collectively, these technologies aim to maximize tissue penetration to a depth of at least 1–2 mm while maintaining high image resolution. Other high-resolution imaging modalities with potential utility for intraoperative breast margin assessment include energy-dispersive X-ray diffraction computed tomog-
11
raphy (EDXRDCT), tomography (Micro-CT).
high-frequency ultrasound,12and micro-computed
13
Radiofrequency spectroscopy — The MarginProbe
The MarginProbe(Dune Medical Devices, Boston, MA, USA) is the first FDA-approved, commercially available device for margin assessment in breast conservation surgery.
14
The device consists of a detachable,
312 D. R. Fels Elliott & A. M. Amacher
Figure 1. The MarginProbeis commerciallyavailablefor use i n breast conservation surgery and uses radiofrequency spectroscopy to evaluate electrical properties of breast tissue. The device issues a binary positive or negative result for each measurement taken within a 7 mm area. Image reprinted with permission.
15
hand-held,1.6 cm-diameter probe anda control console that uses radiofre­quency spectroscopy to rapidly assess the electrical properties of breast tis­sue (Figure 1).
10,15
The device generates radiofrequency electromagnetic fields that are differentially absorbed and reflected by tumor and normal breast tissue due to alterations in nuclear size, increased vascularity, and stromal density. Each measurement is made over a 7 mm-diameter area to a depth of 2–3 mm within one to five seconds. Based on predetermined tissue signatures for tumor and normal breast tissue, the MarginProbe
gives a “positive” or “negative” result for each scan with a sensitivity of 70% and specificity of 70% (MAST study, N = 76 patients).
16
The sensitivity of detection was limited by the ability of the device to detect very small tumor foci (sensitivity 56% for 0.7 mm foci) in comparison to larger tumor nests (sensitivity 97% for 6.6 mm foci). The efficacy of the MarginProbe
has been evaluated in prospective, randomized, controlled clinical trials, includ­ing the US Pivotal Study (N = 300 patients)
17
and the German Multicenter
Ex Vivo
Figure 2. An optical spectral imaging probe developed by Wilke et al. uses diffuse reectance spectroscopy to measure optical scatter of beta carotene in breast tissue. A negative margin, positive margin for ductal carcinoma in situ (DCIS), and positive margin for invasive carcinoma are depicted. Blue areas correlate with benign breast tissue, while red areas correspond to in situ or invasive carcinoma. Image reprinted with permission.
Applications 313
19
Study (N = 596 patients),18which showed the device was a useful adjunct to guide additional excision of positive margins in BCS specimens. In both trials, the MarginProbe
device improved the intraoperative detection of positivemargins and decreased the number of patients requiring re-excision procedures. The US Pivotal Study showed re-excision rates of 5.6% in the device arm versus 12.7% in the control arm, a nd the German Multicenter Study showed 19.8% in the device arm versus 25.8% in the control arm.
Optical spectroscopy
Diffuse reflectance spectroscopy(DRS) takes advantage of intrinsic optical contrast sources within breast tissue, including morphologic (cell den­sity, beta-carotene within adipocytes, a nd collagen content) and physio­logic (oxygenated and deoxygenated hemoglobin content) properties to detect spectral signatures from absorbance and scattering patterns of visi­ble and near-infrared light. oped a hand-held optical spectral imaging probe with a xenon light source (450–600 nm) capable of imaging a 3 × 1 cm area of tissue to a depth of
2.2 mm within 25 s (Figure 2). of in situ and invasive breast malignancies, the probe accurately identified close or positive margins in 79.4% of lumpectomy specimens.
19,20
Using this technology, Wilke et al. devel-
19
In a cohort of 48 patients with a range
19
Imaging a
314 D. R. Fels Elliott & A. M. Amacher
larger cohort of 70 patients yielded a sensitivity of 74% and specificity of
21
86%.
Increased collagen content correlated with increased variability in the scattering of light, and the ability of the optical spectral imaging device to differentiate benign from malignant tissue was markedly improved in postmenopausal women.
21
Lue et al. also described a multimodal optical spectral imaging probe that combines DRS with intrinsicfluorescence spec­troscopy (IFS) to obtain high-resolution images spanning a larger field of view (10 × 10cm) within 20 min.
22
Preliminary results using human breast tissue showed that small tumor foci (<1–3mm) were detected by the com­bined DRS and IFS probe, while individual DRS and IFS maps separately failed to identify these tiny foci. Broadband reflectance spectroscopy is another optical platform to detect scattering signatures in breast tissue.
23,24
Laughney et al. showed that localized scattering signatures distinguished between benign and malignant breast tissues with 93% sensitivity and 95% specificity in a cohort of 32 patients.
24
Raman spectroscopy
Raman spectroscopy measures molecular vibrations of tissue components such as fat, collagen, beta-carotene, calcium, cellular cytoplasm, and nuclei with a sampling volume of approximately 1 mm spectra show differences in chemical and morphologic composition of benign and cancerous breast tissue (Figure 3). fat and collagen were significant parameters in a diagnostic algorithm for ex vivo classification of benign and malignant breast tissue (normal, fibro­cystic change, fibroadenoma, and infiltrating carcinoma) with a sensitivity of 94% and specificity of 96% (N = 58 patients). gested that Raman spectroscopymay have the utility to guide tissue excision in vivo during breast cancer surgery with very high sensitivity and speci­ficity to identify carcinoma (100%) and overall accuracy of 93.3%. subsequent prospective study used Raman spectroscopy to image 129 sites on breast tissue specimens excised from 21 patients and demonstrated a sensitivity and specificity of 83% and 93%, respectively, in distinguish­ing malignant tissue from normal and benign tissue. technology, spatially offset Raman spectroscopy (SORS), uses multiple source–detector offsets to achieve greater depth of penetration into tissue
3.25
The resulting Raman
25
Haka et al. found that
25
The authors also sug-
27
A variation of this
26
A
(a)
(b)
(c)
Ex Vivo
Applications 315
Figure 3. Raman spectroscopy measures molecular vibrations of tissue components to produce chemical and morphologic Raman spectra in (a) normal breast tissue, (b) brocystic change, and (c) invasivecarcinoma. H&E stained sections are shown on the right. Image reprinted with permission.
25
up to 2 mm. Using a SORS probe, Keller et al. classified margins as “pos­itive” or “negative” in 35 breast tissue samples with 95% sensitivity and 100% specificity.
28
Optical coherence tomography
Optical coherence tomography (OCT) has also been proposed as an intra­operative imaging a djunct for ex vivo breast margin assessment. OCT uses infrared radiation to penetrate tissue up to several millimeters in depth depending on the tissue type and measures optical scatter from reflected light using low-coherence interferometry. images appear similar to ultrasound but with a higher resolution of 10– 20 µm. Using OCT, Nguyen et al. imaged lumpectomy specimens from 37
29
The resultant cross-sectional
316 D. R. Fels Elliott & A. M. Amacher
Figure 4. Optical coherence tomography uses infrared radiation to penetrate tissue. Irregular texture and shadowing (arrows) are seen in ductal carcinoma in situ (DCIS) and invasive carcinoma (IDC). Image reprinted with permission.
31
patients undergoing BCS (divided into a training set and feasibility study) with diagnoses of in situ or invasive carcinoma subtypes and one case of
30
atypical ductal hyperplasia.
The training set (N = 17) established OCT imaging criteria with areas of higher scatter and heterogeneity indicative of malignant tissue, while lower scatter areas correlated with normal breast tissue adipocytes. The acquisition and processing time was approximately 5 s per image with 10–20 parallel images obtained in parallel over a 1× 1cm area to a depth of 2 mm. The feasibility study (N = 20) identified nine true positive margins and nine true negative margins, with two false pos­itive results, yielding a sensitivity of 100% and specificity of 82%. Sub­sequently, a multicenter, prospective study evaluated BCS margins in 46 patients withearly-stage breast cancer using a handheld OCT probe coupled to an interferometric synthetic aperture microscope (ISAM) image proces-
31
sor.
Cavity-shaved margins were examined ex vivo with the OCT-ISAM device and yielded rapid, high-resolution images with a tissue penetration depth of 2–3 mm (Figure 4). Three physicians scored the OCT images and
Ex Vivo
Applications 317
5 of 8 (63%) positive margins (0 mm) were correctly identified, suggesting potential benefits to patients through minimizing the number of reoperation procedures. Zhou et al. proposed a multimodal imaging system that com­bines OCT with confocal microscopy to improve image resolution of the tissue surface (2µm) while retaining the depth of penetration achieved by
32
OCT.
The 3D images produced from OCT/confocal microscopy showed distinctive patterns that closely resembled H&E histology for adipose tis­sue, fibrous stroma, benign lobulesand ducts, cysts, and in situ and invasive carcinoma (N = 44 specimens, 22 patients). In a similar study, the same authors applied this multimodal technology to image 35 renal specimens ( N = 19 patients) and diagnose tumor versus normal kidney with high sensitivity and specificity (88–100% for three observers, kappa statistic
33
0.82).

Applications in Mohs micrographic surgery

Intraoperative frozen section analysis is routinely performed on Mohs micrographic surgery specimens to assess for margin involvement by non­melanoma skin cancers. Mohs surgery specimens are very thin and require a fairly superficial evaluation of the surface for margin positivity. High resolution is necessary to distinguish between benign skin structures and tumors, since germinative hair follicles and induction of the epidermis can closely resemble some non-melanoma skin cancer subtypes.
Rapid lump examination
A simple alternative to frozen section processing that has been described is rapid lump examination (RLE), a technique that can evaluate thick skin excision specimens (lumps) with minimal histological processing. In this technique, specimens are sectioned into 2–4 mm slices, stained with tolu­idine blue dye, and then placed directly onto a glass slide. of the specimen is imaged using either digital or stereo microscopy with polarized light to minimize reflection from the wet surface. RLE does not destroy or alter skin tissue, so routine FFPE histologic processing can be carried out following RLE assessment for comparison. Using this tech­nique, Moehrle et al. examined 129 BCC excision specimens by digital
34
The surface
318 D. R. Fels Elliott & A. M. Amacher
microscopy and 78 by stereo microscopy with a resultant sensitivity and specificity of 91% and 90%, respectively, for digital microscopy and 90% and 94%, respectively, for stereo microscopy.
34
The authors also developed a 7-min staining protocol using BerEP4 antibody to highlight BCC tumor cells, although notably the antibody also stains benign adnexal structures.
Confocal microscopy
Confocal laser scanning microscopy (CLSM) has been proposed as a rapid intraoperative method to provide real-time high-resolution images of Mohs surgery specimens. CLSM acquires high-resolution images with a small surface area (750 × 750 µm) that may be stitched together to produce a larger mosaic image within minutes and provides a 12 mm field of view corresponding to 2× magnification on a light microscope. showed that mosaicing CLSM has high sensitivity (96.6%) and specificity (89.2%) for detecting basal cell carcinoma in Mohs surgery specimens ( N = 45 confocal mosaics) evaluated by two Mohs surgeons of differing
36
experience levels.
Interpretation of CLSM relies on the refractive index between tissue types, and techniques have been developed to augment the contrast between tumor nuclei and the surrounding dermis. Reflectance­mode confocal microscopy (RCM) uses acetic acid or citric acid applied directly to the tissue for 30 s to 5 min prior to obtaining images. ilarly, fluorescence confocal microscopy (FCM) uses an acridine orange contrast agent to highlight cell nuclei. Since RCM and FCM modalities do not permanently alter the tissue, the specimens can later be processed for either frozen section analysis or routine histologic evaluation, and the results compared as a gold standard.
Studies using RCM have discovered technical challenges in distin­guishing small or ill-defined tumor nests in non-melanoma skin cancers. For instance, Chung et al. imaged 115 Mohs surgery specimens (92 basal cell carcinoma (BCC) and 23 squamous cell carcinoma (SCC)) using RCM with acetic acid and showed that large residual nests of BCC were clearly identified, while tiny tumor foci were not reliably detected. Patel et al. found that nodular, micronodular, and superficial BCC subtypes were well detected, while infiltrative and sclerosing BCC subtypes were challenging to distinguish from the dermis.
37
A single-center prospective
35
Gareau et al.
37
38
Similarly,
Sim-
Ex Vivo
Applications 319
trial compared the sensitivity RCM with acetic acid to standard FFPE his­tologic processing for 72 consecutive BCC excision specimens.
39
RCM images were evaluated by the surgeon within 7.5 min, and the sensitivity for detection of BCC ranged from 73.7% for lateral margins to 94% in mid­sections. Although it saved time, RCM lacked the ability to detect small nests or cords of infiltrative tumor cells in comparison to standard FFPE histology.
In comparison to RCM, studies using FCM have shown improved capability to identify tumor in Mohs excision specimens. For example, Karen et al. showed high sensitivity (96.6%) and specificity (89.2%) in identifying BCC in 145 Mohs surgery specimens, concurrent results using CLSM.
36
Subsequently, Bennassar et al. proposed
40
which is comparable to
criteria to interpret FCM images of BCC and differentiate it from cutaneous appendages, including peripheral palisading, clefting, presence of stroma, nuclear pleomorphism, nuclear crowding, N/C ratio, demarcation, and flu­orescence with a relatively high interobserver agreement (kappa statistic
35
0.68–0.90, two independent observers).
The a uthors showed that a Mohs surgeon could use these FCM criteria to classify BCC into three major sub­types (superficial, nodular, and infiltrative) with strong histopathological correlation to H&E slides examined by a dermatopathologist (kappa statis­tic 0.9; N = 65 cases). Similarly, Longo et al. reported a distinct FCM appearance for different BCC subtypes, including large tumor islands in nodular BCC (18/25 cases), small round nests in micronodular BCC (7/7 cases) and small cords in infiltrative BCC (24/30 cases).
41
Overall there was a strong correlation between FCM and histologic findings for BCC subtypes (kappa statistic 0.9, N = 64 cases), but sebaceous glands and intense stromal reaction were identified as potential confounders in six cases.
Further advancements to confocal microscopy have been proposed to maximize potential clinical utility in the Mohs surgery setting. Abey­tunge et al. developed a technique called “strip mosaicing” to reduce the time required to produce a confocal mosaic from 9 to 3 min (approxi­mately 25 × 25 mm of tissue) by acquiring strips of images with an aspect
42–44
ratio of 10:1, which is greater than the standard 1:1 ratio.
Addition­ally, multimodal confocal microscopes have been developed using FCM to highlight cell nuclei combined with RCM to highlight cell cytoplasm