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High resolution full-field optical coherence tomography for the evaluation of freshly excised skin specimens during Mohs surgery: A feasibility study
  • +4
  • Manu Jain,
  • Homer Chen,
  • Chih-Shan Jason Chen,
  • Kiran Singh,
  • Nicholas R. Kurtansky,
  • Sheng-Lung Huang,
  • Shu-Wen Chang
Manu Jain
Memorial Sloan Kettering Cancer Center

Corresponding Author:[email protected]

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Homer Chen
National Taiwan University Graduate Institute of Communication Engineering
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Chih-Shan Jason Chen
Memorial Sloan Kettering Cancer Center
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Kiran Singh
Memorial Sloan Kettering Cancer Center
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Nicholas R. Kurtansky
Memorial Sloan Kettering Cancer Center
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Sheng-Lung Huang
National Taiwan University Graduate Institute of Photonics and Optoelectronics
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Shu-Wen Chang
National Taiwan University Graduate Institute of Photonics and Optoelectronics
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Abstract

Histopathology for tumor margin assessment is time-consuming and expensive. High-resolution full-field optical coherence tomography (FF-OCT) images fresh tissues rapidly at cellular resolution, facilitating evaluation. We imaged fresh ex vivo skin tissues (normal and neoplastic) from Mohs surgery. FF-OCT features were defined and diagnostic accuracy for malignancies was performed by the two experts OCT readers via a blinded analysis. A convolutional neural network was built to distinguish and outline normal structures and tumors. Of the 113 tissues imaged, 95 (84%) had a tumor (75 BCCs and 17 SCCs). The average reader diagnostic accuracy was 88.1%, a sensitivity of 93.7%, and a specificity of 58.3%. The AI model achieved a diagnostic accuracy of 87.6%±5.9%, sensitivity of 93.2%±2.1%, and specificity of 81.2%±9.2%. A mean intersection-over-union of 60.3%±10.1% was achieved delineating nodular BCC from normal. We envision FF-OCT for rapid evaluation of surgical margins and AI tumor detection leading to widespread technique integration.
19 Jul 2023Submitted to Journal of Biophotonics
19 Jul 2023Submission Checks Completed
19 Jul 2023Assigned to Editor
19 Jul 2023Review(s) Completed, Editorial Evaluation Pending
19 Jul 2023Reviewer(s) Assigned
16 Aug 2023Editorial Decision: Revise Major
18 Aug 20231st Revision Received
21 Aug 2023Submission Checks Completed
21 Aug 2023Assigned to Editor
21 Aug 2023Review(s) Completed, Editorial Evaluation Pending
21 Aug 2023Reviewer(s) Assigned
11 Sep 2023Editorial Decision: Accept