TY - JOUR
T1 - Role of blood oxygenation saturation in ovarian cancer diagnosis using multi-spectral photoacoustic tomography
AU - Amidi, Eghbal
AU - Yang, Guang
AU - Uddin, K. M.Shihab
AU - Luo, Hongbo
AU - Middleton, William
AU - Powell, Matthew
AU - Siegel, Cary
AU - Zhu, Quing
N1 - Publisher Copyright:
© 2020 Wiley-VCH GmbH
PY - 2021/4
Y1 - 2021/4
N2 - 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 haemoglobin (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 use a multi-pixel method to smooth the measurements before calculating rHbT and %sO2. 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 co-registered 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 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.
AB - 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 haemoglobin (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 use a multi-pixel method to smooth the measurements before calculating rHbT and %sO2. 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 co-registered 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 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.
KW - feature extraction
KW - ovarian cancer diagnosis
KW - oxygen saturation (%sO)
KW - photoacoustic tomography
UR - http://www.scopus.com/inward/record.url?scp=85099018427&partnerID=8YFLogxK
U2 - 10.1002/jbio.202000368
DO - 10.1002/jbio.202000368
M3 - Article
C2 - 33377620
AN - SCOPUS:85099018427
SN - 1864-063X
VL - 14
JO - Journal of Biophotonics
JF - Journal of Biophotonics
IS - 4
M1 - e202000368
ER -