ORIGINAL RESEARCH article
Front. Med.
Sec. Obstetrics and Gynecology
Volume 12 - 2025 | doi: 10.3389/fmed.2025.1513710
Application of intravoxel incoherent motion imaging in the diagnosis of polycystic ovary syndrome
Provisionally accepted
- Jinshan Hospital, Fudan University, Shanghai, China
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Objective: To evaluate the diagnostic efficacy of intravoxel incoherent motion (IVIM) parameters in ovarian stroma changes in polycystic ovary syndrome (PCOS) patients.Methods: This prospective study included 58 PCOS patients and 60 healthy controls.Both groups underwent conventional magnetic resonance imaging (MRI) and IVIM scans. The diagnostic efficacy of IVIM parameters and conventional MRI was investigated and compared by using area under the curves (AUC). Binary logistic regression analysis, integrated discrimination improvement (IDI), and net reclassification improvement (NRI) were also used to assess the improvement in diagnosis of PCOS when combining IVIM parameters with conventional MRI features.The apparent diffusion coefficient (ADC) and D values were significantly lower, while the D* and f values were significantly higher than the controls in the ovarian stroma in PCOS patients. The follicle number (FN) counted on the MRI showed an AUC of 0.90 (95%CI: 0.84-0.96) for differentiating PCOS from the controls, with a cutoff value of 23. The ADC value yielded the highest AUC of 0.83 (95%CI: 0.76-0.90) among the IVIM parameters, with a cutoff value of 1.04×10 -3 mm²/s. The diagnostic performance was significantly by combining ADC and FN with an AUC of 0.94 (95%CI: 0.90-0.98). The IDI and NRI also showed improved diagnostic performance than FN alone.The D* and f values of the ovarian stroma in PCOS patients are significantly increased, while the ADC and D values are significantly reduced. The combination of ADC and FN can improve the diagnostic efficacy for PCOS.
Keywords: Polycystic Ovary Syndrome, Magnetic Resonance Imaging, Intravoxel incoherent motion, Diffusion Weighted Imaging, diagnosis
Received: 18 Oct 2024; Accepted: 26 May 2025.
Copyright: © 2025 Wang, Song, Zeng, LI and Qiang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Ying LI, Jinshan Hospital, Fudan University, Shanghai, China
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