The role of blood oxygenation saturation in ovarian cancer diagnosis using multi-spectral photoacoustic tomography (Presenter: Eghbal Amidi @ Quing Zhu Lab)

Presenter: Eghbal Amidi

BME 5th year Ph.D. student

Dr. Quing Zhu Lab

Watch the recorded presentation

In photoacoustic tomography (PAT), a tunable laser typically illuminates the tissue at multiple wavelengths, and the received photoacoustic waves are used to form functional images of relative total hemoglobin (rHbT) and blood oxygenation saturation (sO2).Due to measurement errors, the estimation of these parameters can be challenging, especially in clinical studies.In this study, we first perform phantom studies using blood tubes of calibrated sO2 to evaluate the accuracy of our sO2 estimation.We conclude by presenting diagnostic results from PAT of 33 patients with 51 ovarian masses imaged by our coregistered PAT and ultrasound system.The ovarian masses were divided into malignant and benign/normal groups. Functional maps of rHbT and sO2 and their histograms as well as spectral features were calculated using the PAT data from all ovaries in these two groups.Support vector machine (SVM) models were trained on different combinations of the significant features. The area under ROC (AUC) of 0.93 (0.95%CI: 0.90 –0.96) on the testing data set was achieved by combining mean sO2, a spectral feature, and the score of the study radiologist. .

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