The road to real‐time, bedside, optical imaging pathology: basal cell carcinoma and beyond

Navarrete-Dechent, C.; Marghoob, Ashfaq A.; Chen, C.‐S.J.

doi:10.1111/bjd.18471

Cited by 4 publications

(1 citation statement)

References 17 publications

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“…Both issues can be alleviated by FCM as it can directly image fresh tissue with minimal processing (no need for special equipment) and the produced mosaics are directly scanned in a computer, allowing for either local or off‐site remote reading. Overall, the whole FCM imaging procedure takes 3 to 15 minutes regardless of the setting and provides a rapid proxy to frozen pathology 7‐12 . Mohs surgeons can read FCM mosaics and detect residual BCC margins, 10,13‐15 with sensitivity of 89% to 96%, specificity of 89% to 99%, positive predictive value of 80% to 98%, and negative predictive value of 95% to 97% 8,9,16‐22 .…”

Section: Introductionmentioning

confidence: 99%

An international 3‐center training and reading study to assess basal cell carcinoma surgical margins with ex vivo fluorescence confocal microscopy

et al. 2021

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Background Novel solutions are needed for expediting margin assessment to guide basal cell carcinoma (BCC) surgeries. Ex vivo fluorescence confocal microscopy (FCM) is starting to be used in freshly excised surgical specimens to examine BCC margins in real time. Training and educational process are needed for this novel technology to be implemented into clinic. Objective To test a training and reading process, and measure diagnostic accuracy of clinicians with varying expertise level in reading ex vivo FCM images. Methods An international three‐center study was designed for training and reading to assess BCC surgical margins and residual subtypes. Each center included a lead dermatologic/Mohs surgeon (clinical developer of FCM) and three additional readers (dermatologist, dermatopathologist, dermatologic/Mohs surgeon), who use confocal in clinical practice. Testing was conducted on 30 samples. Results Overall, the readers achieved 90% average sensitivity, 78% average specificity in detecting residual BCC margins, showing high and consistent diagnostic reading accuracy. Those with expertise in dermatologic surgery and dermatopathology showed the strongest potential for learning to assess FCM images. Limitations Small dataset, variability in mosaic quality between centers. Conclusion Suggested process is feasible and effective. This process is proposed for wider implementation to facilitate wider adoption of FCM to potentially expedite BCC margin assessment to guide surgery in real time.

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Section: Introductionmentioning

confidence: 99%