Literature DB >> 35978817

Apparent diffusion coefficient histogram analysis for differentiating solid ovarian tumors.

Renwei Liu1, Ruifeng Li1, Jinzhi Fang1, Kan Deng2, Cuimei Chen1, Jianhua Li1, Zhiqing Wu1, Xiaoxu Zeng1.   

Abstract

Objective: To evaluate the utility of apparent diffusion coefficient (ADC) histogram analysis to differentiate between three types of solid ovarian tumors: granulosa cell tumors (GCTs) of the ovary, ovarian fibromas, and high-grade serous ovarian carcinomas (HGSOCs).
Methods: The medical records of 11 patients with GCTs of the ovary (regions of interest [ROI-cs], 137), 61 patients with ovarian fibromas (ROI-cs, 161), and 14 patients with HGSOCs (ROI-cs, 113) confirmed at surgery and histology who underwent diffusion-weighted imaging were retrospectively reviewed. Histogram parameters of ADC maps (ADCmean, ADCmax, ADCmin) were estimated and compared using the Kruskal-WallisH test and Mann-Whitney U test. The area under the curve of receiver operating characteristic curves was used to assess the diagnostic performance of ADC parameters for solid ovarian tumors.
Results: There were significant differences in ADCmean, ADCmax and ADCmin values between GCTs of the ovary, ovarian fibromas, and HGSOCs. The cutoff ADCmean value for differentiating a GCT of the ovary from an ovarian fibroma was 0.95×10-3 mm2/s, for differentiating a GCT of the ovary from an HGSOC was 0.69×10-3 mm2/s, and for differentiating an ovarian fibroma from an HGSOC was 1.24×10-3 mm2/s.
Conclusion: ADCmean derived from ADC histogram analysis provided quantitative information that allowed accurate differentiation of GCTs of the ovary, ovarian fibromas, and HGSOCs before surgery.
Copyright © 2022 Liu, Li, Fang, Deng, Chen, Li, Wu and Zeng.

Entities:  

Keywords:  Histogram analysis; apparent diffusion coefficient (ADC); diffusion weighted image (DWI); magnetic resonance imaging (MRI); solid ovarian tumors

Year:  2022        PMID: 35978817      PMCID: PMC9376384          DOI: 10.3389/fonc.2022.904323

Source DB:  PubMed          Journal:  Front Oncol        ISSN: 2234-943X            Impact factor:   5.738


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