{"title":"高级别浆液性卵巢癌与其他上皮性卵巢癌的多重b值弥散加权成像衍生参数鉴别。","authors":"Tsukasa Saida, Miki Yoshida, Taishi Amano, Masashi Shindo, Reo Nemoto, Takeo Iizuka, Ayumi Shikama, Toyomi Satoh, Takahito Nakajima","doi":"10.1007/s11604-025-01813-6","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>High-grade serous carcinoma (HGSC) is the most common ovarian cancer subtype, and its differentiation from others is crucial for treatment. This study aimed to evaluate parameters derived from multi-b-value diffusion-weighted imaging (DWI), including apparent diffusion coefficient (ADC), and metrics based on intravoxel incoherent motion (IVIM) and diffusion kurtosis imaging (DKI), for differentiating HGSC from other ovarian cancers.</p><p><strong>Methods: </strong>We retrospectively analysed patients with primary epithelial ovarian cancer who underwent preoperative MRI including multi-b-value DWI. From the solid tissues of the tumours, diffusion parameters were derived from the multi-b-value DWI data using different models: ADC using a mono-exponential model; the true diffusion coefficient (Di), pseudo-diffusion coefficient (D*), and perfusion fraction (f) using the IVIM model; and kurtosis (K) using the DKI model.</p><p><strong>Results: </strong>This study included 56 patients with different histological cancer subtypes (mean age, 60 years; range, 24-87 years). The mean values of HGSC compared to the other cancers showed lower ADC (0.58 ± 0.21 × 10⁻<sup>3</sup> mm<sup>2</sup>/s vs. 0.76 ± 0.18 × 10⁻<sup>3</sup> mm<sup>2</sup>/s, p < 0.001), lower Di (0.37 ± 0.09 × 10⁻<sup>3</sup> mm<sup>2</sup>/s vs. 0.42 ± 0.15 × 10⁻<sup>3</sup> mm<sup>2</sup>/s, p = 0.201), and lower f (35.79 ± 11.48% vs. 48.01 ± 17.21%, p = 0.003), with a higher K (1.06 ± 0.25 vs. 0.84 ± 0.20, p = 0.341). Among these parameters, ADC showed the highest diagnostic performance in differentiating HGSC from others, with an area under the receiver operating characteristic curve of 0.79. These trends were particularly pronounced between HGSC and clear cell carcinoma, with significant differences in all parameters except D*. Additionally, K <sub>Mean</sub> was the only parameter that showed a significant difference between HGSC and endometrioid carcinoma.</p><p><strong>Conclusion: </strong>Multi-b-value DWI-derived parameters, particularly ADC, may aid in the non-invasive preoperative differentiation of HGSC from other ovarian cancers. Multi-b-value DWI-derived parameters, especially ADC, demonstrated utility in differentiating high-grade serous carcinoma (HGSC) from other ovarian cancers, highlighting their potential in non-invasive preoperative tumor characterization.</p>","PeriodicalId":14691,"journal":{"name":"Japanese Journal of Radiology","volume":" ","pages":"1678-1687"},"PeriodicalIF":2.1000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12479561/pdf/","citationCount":"0","resultStr":"{\"title\":\"Multi-b-value diffusion-weighted imaging-derived parameters for differentiating high-grade serous ovarian carcinoma from other epithelial ovarian cancers.\",\"authors\":\"Tsukasa Saida, Miki Yoshida, Taishi Amano, Masashi Shindo, Reo Nemoto, Takeo Iizuka, Ayumi Shikama, Toyomi Satoh, Takahito Nakajima\",\"doi\":\"10.1007/s11604-025-01813-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>High-grade serous carcinoma (HGSC) is the most common ovarian cancer subtype, and its differentiation from others is crucial for treatment. This study aimed to evaluate parameters derived from multi-b-value diffusion-weighted imaging (DWI), including apparent diffusion coefficient (ADC), and metrics based on intravoxel incoherent motion (IVIM) and diffusion kurtosis imaging (DKI), for differentiating HGSC from other ovarian cancers.</p><p><strong>Methods: </strong>We retrospectively analysed patients with primary epithelial ovarian cancer who underwent preoperative MRI including multi-b-value DWI. From the solid tissues of the tumours, diffusion parameters were derived from the multi-b-value DWI data using different models: ADC using a mono-exponential model; the true diffusion coefficient (Di), pseudo-diffusion coefficient (D*), and perfusion fraction (f) using the IVIM model; and kurtosis (K) using the DKI model.</p><p><strong>Results: </strong>This study included 56 patients with different histological cancer subtypes (mean age, 60 years; range, 24-87 years). The mean values of HGSC compared to the other cancers showed lower ADC (0.58 ± 0.21 × 10⁻<sup>3</sup> mm<sup>2</sup>/s vs. 0.76 ± 0.18 × 10⁻<sup>3</sup> mm<sup>2</sup>/s, p < 0.001), lower Di (0.37 ± 0.09 × 10⁻<sup>3</sup> mm<sup>2</sup>/s vs. 0.42 ± 0.15 × 10⁻<sup>3</sup> mm<sup>2</sup>/s, p = 0.201), and lower f (35.79 ± 11.48% vs. 48.01 ± 17.21%, p = 0.003), with a higher K (1.06 ± 0.25 vs. 0.84 ± 0.20, p = 0.341). Among these parameters, ADC showed the highest diagnostic performance in differentiating HGSC from others, with an area under the receiver operating characteristic curve of 0.79. These trends were particularly pronounced between HGSC and clear cell carcinoma, with significant differences in all parameters except D*. Additionally, K <sub>Mean</sub> was the only parameter that showed a significant difference between HGSC and endometrioid carcinoma.</p><p><strong>Conclusion: </strong>Multi-b-value DWI-derived parameters, particularly ADC, may aid in the non-invasive preoperative differentiation of HGSC from other ovarian cancers. Multi-b-value DWI-derived parameters, especially ADC, demonstrated utility in differentiating high-grade serous carcinoma (HGSC) from other ovarian cancers, highlighting their potential in non-invasive preoperative tumor characterization.</p>\",\"PeriodicalId\":14691,\"journal\":{\"name\":\"Japanese Journal of Radiology\",\"volume\":\" \",\"pages\":\"1678-1687\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2025-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12479561/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Japanese Journal of Radiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s11604-025-01813-6\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/7/1 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Japanese Journal of Radiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s11604-025-01813-6","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/7/1 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
目的:高级别浆液性癌(High-grade serous carcinoma, HGSC)是最常见的卵巢癌亚型,其鉴别对治疗至关重要。本研究旨在评估来自多b值弥散加权成像(DWI)的参数,包括表观扩散系数(ADC),以及基于体素内非相干运动(IVIM)和弥散峰度成像(DKI)的指标,用于鉴别HGSC与其他卵巢癌。方法:我们回顾性分析了术前行MRI包括多b值DWI检查的原发性上皮性卵巢癌患者。从肿瘤实体组织中,使用不同模型从多b值DWI数据中获得扩散参数:ADC使用单指数模型;采用IVIM模型计算真扩散系数(Di)、伪扩散系数(D*)和灌注分数(f);峰度(K)使用DKI模型。结果:本研究纳入56例不同组织学癌亚型患者(平均年龄60岁;范围:24-87年)。与其他癌症相比,HGSC的平均值显示较低的ADC(0.58±0.21 × 10毒血症mm2/s vs. 0.76±0.18 × 10毒血症mm2/s, p3 mm2/s vs. 0.42±0.15 × 10毒血症mm2/s, p = 0.201),较低的f(35.79±11.48% vs. 48.01±17.21%,p = 0.003),较高的K(1.06±0.25 vs. 0.84±0.20,p = 0.341)。在这些参数中,ADC对HGSC的诊断效能最高,其受试者工作特征曲线下面积为0.79。这些趋势在HGSC和透明细胞癌之间尤为明显,除D*外,所有参数均有显著差异。此外,K Mean是唯一显示HGSC和子宫内膜样癌之间有显著差异的参数。结论:dwi衍生的多b值参数,特别是ADC,可能有助于HGSC与其他卵巢癌的术前无创分化。dwi衍生的多b值参数,特别是ADC,在区分高级别浆液性癌(HGSC)和其他卵巢癌方面被证明是有用的,突出了它们在非侵入性术前肿瘤表征方面的潜力。
Multi-b-value diffusion-weighted imaging-derived parameters for differentiating high-grade serous ovarian carcinoma from other epithelial ovarian cancers.
Objective: High-grade serous carcinoma (HGSC) is the most common ovarian cancer subtype, and its differentiation from others is crucial for treatment. This study aimed to evaluate parameters derived from multi-b-value diffusion-weighted imaging (DWI), including apparent diffusion coefficient (ADC), and metrics based on intravoxel incoherent motion (IVIM) and diffusion kurtosis imaging (DKI), for differentiating HGSC from other ovarian cancers.
Methods: We retrospectively analysed patients with primary epithelial ovarian cancer who underwent preoperative MRI including multi-b-value DWI. From the solid tissues of the tumours, diffusion parameters were derived from the multi-b-value DWI data using different models: ADC using a mono-exponential model; the true diffusion coefficient (Di), pseudo-diffusion coefficient (D*), and perfusion fraction (f) using the IVIM model; and kurtosis (K) using the DKI model.
Results: This study included 56 patients with different histological cancer subtypes (mean age, 60 years; range, 24-87 years). The mean values of HGSC compared to the other cancers showed lower ADC (0.58 ± 0.21 × 10⁻3 mm2/s vs. 0.76 ± 0.18 × 10⁻3 mm2/s, p < 0.001), lower Di (0.37 ± 0.09 × 10⁻3 mm2/s vs. 0.42 ± 0.15 × 10⁻3 mm2/s, p = 0.201), and lower f (35.79 ± 11.48% vs. 48.01 ± 17.21%, p = 0.003), with a higher K (1.06 ± 0.25 vs. 0.84 ± 0.20, p = 0.341). Among these parameters, ADC showed the highest diagnostic performance in differentiating HGSC from others, with an area under the receiver operating characteristic curve of 0.79. These trends were particularly pronounced between HGSC and clear cell carcinoma, with significant differences in all parameters except D*. Additionally, K Mean was the only parameter that showed a significant difference between HGSC and endometrioid carcinoma.
Conclusion: Multi-b-value DWI-derived parameters, particularly ADC, may aid in the non-invasive preoperative differentiation of HGSC from other ovarian cancers. Multi-b-value DWI-derived parameters, especially ADC, demonstrated utility in differentiating high-grade serous carcinoma (HGSC) from other ovarian cancers, highlighting their potential in non-invasive preoperative tumor characterization.
期刊介绍:
Japanese Journal of Radiology is a peer-reviewed journal, officially published by the Japan Radiological Society. The main purpose of the journal is to provide a forum for the publication of papers documenting recent advances and new developments in the field of radiology in medicine and biology. The scope of Japanese Journal of Radiology encompasses but is not restricted to diagnostic radiology, interventional radiology, radiation oncology, nuclear medicine, radiation physics, and radiation biology. Additionally, the journal covers technical and industrial innovations. The journal welcomes original articles, technical notes, review articles, pictorial essays and letters to the editor. The journal also provides announcements from the boards and the committees of the society. Membership in the Japan Radiological Society is not a prerequisite for submission. Contributions are welcomed from all parts of the world.