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. 2016 Apr;96(4):459-67.
doi: 10.1038/labinvest.2015.158. Epub 2016 Jan 18.

Spectrally encoded confocal microscopy for diagnosing breast cancer in excision and margin specimens

Affiliations

Spectrally encoded confocal microscopy for diagnosing breast cancer in excision and margin specimens

Elena F Brachtel et al. Lab Invest. 2016 Apr.

Abstract

A large percentage of breast cancer patients treated with breast conserving surgery need to undergo multiple surgeries due to positive margins found during post-operative margin assessment. Carcinomas could be removed completely during the initial surgery and additional surgery avoided if positive margins can be determined intraoperatively. Spectrally encoded confocal microscopy (SECM) is a high-speed reflectance confocal microscopy technology that has a potential to rapidly image the entire surgical margin at subcellular resolution and accurately determine margin status intraoperatively. In this study, in order to test the feasibility of using SECM for intraoperative margin assessment, we have evaluated the diagnostic accuracy of SECM for detecting various types of breast cancers. Forty-six surgically removed breast specimens were imaged with an SECM system. Side-by-side comparison between SECM and histologic images showed that SECM images can visualize key histomorphologic patterns of normal/benign and malignant breast tissues. Small (500 μm × 500 μm) spatially registered SECM and histologic images (n=124 for each) were diagnosed independently by three pathologists with expertise in breast pathology. Diagnostic accuracy of SECM for determining malignant tissues was high, average sensitivity of 0.91, specificity of 0.93, positive predictive value of 0.95, and negative predictive value of 0.87. Intra-observer agreement and inter-observer agreement for SECM were also high, 0.87 and 0.84, respectively. Results from this study suggest that SECM may be developed into an intraoperative margin assessment tool for guiding breast cancer excisions.

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Figures

Figure 1
Figure 1
Schematic of SECM system. BS, beam splitter; CL, collimation lens; FOV, field of viw; MMF, multi-mode fiber; PZT, piezo-electric transducer; SECM, spectrally encoded confocal microscopy; SMF, single-mode fiber.
Figure 2
Figure 2
Representative SECM and histologic images of a breast tissue as overview at low magnification (left) and in high magnification (right) with magnified area in box insert.
Figure 3
Figure 3
Representative spectrally encoded confocal microscopy (SECM) and histologic images of normal/benign breast tissues. (a, c, e, and g) SECM images. (b, d, f, and h) Histologic images. (a and b) Fibrous tissue. (c and d) Adipose tissue. (e and f) Benign ducts and glands. (g and h) Inflammation. Asterisks, fat cells; arrows, cell nuclei.
Figure 4
Figure 4
Representative spectrally encoded confocal microscopy (SECM) and histologic images of malignant breast tissues. (a, c, e, and g) SECM images. (b, d, f, and h) Histologic images. (a and b) Round foci of ductal carcinoma in situ (DCIS). (c and d) Low-grade invasive ductal carcinoma (IDC) with formation of irregular glandular structures. (e and f) High-grade IDC with diffuse sheets of tumor cells. (g and h) Invasive lobular carcinoma (ILC) with individual invasive cells. Asterisks, cribriform architecture; dotted line in a and b, basement membrane; dotted line in c and d, irregularly-shaped glands; arrows, tumor cells.
Figure 5
Figure 5
Representative SECM and histologic images for cases with incorrect SECM diagnoses but correct histologic diagnoses. a and b – ducts/glands; and c and d – ILC. dotted line – area where SECM image failed to clearly visualize cell nuclei in stroma.

References

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