Dual-modal photoacoustic and ultrasound imaging for early diagnosis of ovarian torsion and evaluation of long-term tissue hypoxia

双模态光声和超声成像技术用于卵巢扭转的早期诊断和长期组织缺氧的评估

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Abstract

Ovarian torsion (OT), a critical gynecological emergency caused by ovarian twisting and vascular compromise, risks necrosis without prompt intervention. This study evaluated dual-modal photoacoustic/ultrasound imaging for early detection and chronic hypoxia monitoring in OT. Rat models of complete/partial OT were established, with photoacoustic imaging (PAI) tracking tissue oxygen saturation (sO₂) over time, compared to color Doppler parameters (color pixel density [CPD]) and spectral Doppler parameters (peak systolic velocity [PSV], resistance index [RI]). In short-term (6-hour) torsion, PAI and CPD showed similar declining trends, but PAI provided superior sO₂ quantification. In long-term models, PAI detected significant sO₂ reductions at 12 and 24 h, whereas CPD declined only within the first 12 h, highlighting PAI's enhanced accuracy for hypoxia assessment during the 12-24 h window. Histological analysis confirmed that PAI-measured hypoxia correlated with tissue injury severity. These findings demonstrate PAI's reliability in evaluating hypoxia progression and tissue damage, facilitating precise early diagnosis and time-sensitive monitoring in prolonged OT. Combining ultrasound with PAI offers a more effective diagnostic tool for assessing OT progression, particularly in guiding timely interventions for long-term torsion.

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