Photoacoustic microscopy paired with neural network for risk management of rectal cancer after radiation and chemotherapy

Quing Zhu

doi:10.1117/12.2619403

7 March 2022 Photoacoustic microscopy paired with neural network for risk management of rectal cancer after radiation and chemotherapy

Quing Zhu

Author Affiliations +

Proceedings Volume PC11952, Multimodal Biomedical Imaging XVII; PC1195207 (2022) https://doi.org/10.1117/12.2619403
Event: SPIE BiOS, 2022, San Francisco, California, United States

Abstract

Recent research has confirmed that rectal cancer patients achieving complete tumor destruction to pre-surgery therapy can safely avoid surgery altogether. Unfortunately, this promising treatment option remains limited due to the inability of existing imaging techniques to identify patients with pathological complete response (pCR). We developed a new co-registered acoustic-resolution photoacoustic microscopy (AR-PAM) and ultrasound system to image rectal tumors undergoing treatment. We then built a custom pattern-recognition convolution neural network (CNN) to provide quantitative image interpretation of AR-PAM. Initial testing of the imaging system and neural network (AR-PAM-CNN) demonstrated promising findings, specifically that tumor beds revert from oncologically-disrupted microvascular patterns to highly regular architecture typical of the normal rectum in the setting of pCR to therapy.

Conference Presentation

Citation Download Citation

Quing Zhu "Photoacoustic microscopy paired with neural network for risk management of rectal cancer after radiation and chemotherapy ", Proc. SPIE PC11952, Multimodal Biomedical Imaging XVII, PC1195207 (7 March 2022); https://doi.org/10.1117/12.2619403

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