Integrated spectral and depth compensation approach for optimizing oxygen saturation and total hemoglobin estimation in photoacoustic tomography for ovarian lesion diagnosis.
Аннотация
SIGNIFICANCE: Photoacoustic tomography (PAT) holds promise for non-invasive functional imaging in ovarian cancer diagnostics. However, accurate estimation of oxygen saturation ( % sO 2 ) and total hemoglobin concentration (THb) is hindered by wavelength- and depth-dependent fluence variations.
AIM: We aim to improve the accuracy and clinical utility of % sO 2 and THb quantification in transvaginal ultrasound-guided PAT (US-PAT) by developing an integrated spectral and depth compensation (ISDC) method that corrects for both spectral distortion and depth-dependent attenuation.
APPROACH: We introduce a spectral compensation strategy derived from Monte Carlo simulations and integrate it with depth-wise fluence correction to construct the proposed ISDC method. The approach has been validated using phantoms with known optical properties and applied to clinical PAT data from 82 ovarian lesions (67 benign and 15 malignant). Diagnostic performance was evaluated using logistic regression and receiver operating characteristic analysis.
RESULTS
In phantom experiments, ISDC improved % sO 2 estimation accuracy compared with linear unmixing (LU) and enhanced uniformity of THb estimates across depth. In clinical data, ISDC has increased % sO 2 values by ∼ 5 % in both benign and malignant lesions, enhanced contrast of THb between malignant and benign lesion groups (mean THb ratio R THb has increased from 1.4 to 1.9), and achieved higher classification performance (AUC = 0.93 versus 0.88 for LU) when combining % sO 2 and THb features.
CONCLUSIONS
The ISDC approach significantly enhances the quantitative accuracy and diagnostic performance of PAT by compensating for both spectral and depth fluence variations within biological tissue. These improvements support the integration of ISDC into US-PAT systems for ovarian lesion characterization and future clinical applications.
Предметные рубрики MeSH
Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Ошибки и ограничения
История · было → стало
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