Bingjia Lai , Yongju Yi , Xiaojun Yang , Xiumei Li , Longjiahui Xu , Zhuoheng Yan , Lu Yang , Riyu Han , Huijun Hu , Xiaohui Duan
{"title":"宫颈癌的动态对比增强和弥散加权磁共振成像：与 Ki-67 增殖状态的相关性。","authors":"Bingjia Lai , Yongju Yi , Xiaojun Yang , Xiumei Li , Longjiahui Xu , Zhuoheng Yan , Lu Yang , Riyu Han , Huijun Hu , Xiaohui Duan","doi":"10.1016/j.mri.2024.07.010","DOIUrl":null,"url":null,"abstract":"<div><h3>Objectives</h3><p>To investigate the association of quantitative parameter (apparent diffusion coefficient [ADC]) from diffusion-weighted imaging (DWI) and various quantitative and semiquantitative parameters from dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) with Ki-67 proliferation index (PI) in cervical carcinoma (CC).</p></div><div><h3>Methods</h3><p>A total of 102 individuals with CC who received 3.0 T MRI examination (DWI and DCE MRI) between October 2016 and December 2022 were enrolled in our investigation. Two radiologists separately assessed the ADC parameter and various quantitative and semiquantitative parameters including (volume transfer constant [<em>K</em><sup><em>trans</em></sup>], rate constant [<em>k</em><sub>ep</sub>], extravascular extracellular space volume fraction [<em>v</em><sub><em>e</em></sub>], volume fraction of plasma [<em>v</em><sub><em>p</em></sub>], time to peak [TTP], maximum concentration [MaxCon], maximal slope [MaxSlope] and area under curve [AUC]) for each tumor. Their association with Ki-67 PI was analyzed by Spearman association analysis. The discrepancy between low-proliferation and high-proliferation groups was subsequently analyzed. The receiver operating characteristic (ROC) curve analysis utilized to identify optimal cut-off points for significant parameters.</p></div><div><h3>Results</h3><p>Both ADC (ρ = −<!--> <!-->0.457, <em>p</em> < 0.001) and <em>K</em><sup>trans</sup> (ρ = −<!--> <!-->0.467, <em>p</em> < 0.001) indicated a strong negative association with Ki-67 PI. Ki-67 PI showed positive correlations with TTP, MaxCon, MaxSlope and AUC (ρ = 0.202, 0.231, 0.309, 0.235, respectively; all <em>p</em> values<0.05). Compared with the low-proliferation group, high-Ki-67 group presented a significantly lower ADC (0.869 ± 0.125 × 10<sup>−3</sup> mm<sup>2</sup>/s vs. 1.149 ± 0.318 × 10<sup>−3</sup> mm<sup>2</sup>/s; <em>p</em> < 0.001) and <em>K</em><sup>trans</sup> (1.314 ± 1.162 min<sup>−1</sup>vs. 0.391 ± 0.390 min<sup>−1</sup>; <em>p</em> < 0.001), also significantly higher MaxCon values (0.756 ± 0.959 vs. 0.422 ± 0.341; <em>p</em> < 0.05) and AUC values (2.373 ± 3.012 vs. 1.273 ± 1.000; <em>p</em> < 0.05). The cut-offs of ADC, <em>K</em><sup><em>trans</em></sup>, MaxCon and AUC for discrimating low- and high-Ki-67 groups were 0.920 × 10<sup>−3</sup> mm<sup>2</sup>/s, 0.304 min<sup>−1</sup>, 0.209 and 1.918, respectively.</p></div><div><h3>Conclusions</h3><p>ADC, <em>K</em><sup>trans</sup>, TTP, MaxCon, MaxSlope and AUC are associated with Ki-67 PI. ADC and <em>K</em><sup>trans</sup> exhibited high performance to discriminate low and high Ki-67 status of CC.</p></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"112 ","pages":"Pages 136-143"},"PeriodicalIF":2.1000,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dynamic contrast-enhanced and diffusion-weighted MRI of cervical carcinoma: Correlations with Ki-67 proliferation status\",\"authors\":\"Bingjia Lai , Yongju Yi , Xiaojun Yang , Xiumei Li , Longjiahui Xu , Zhuoheng Yan , Lu Yang , Riyu Han , Huijun Hu , Xiaohui Duan\",\"doi\":\"10.1016/j.mri.2024.07.010\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objectives</h3><p>To investigate the association of quantitative parameter (apparent diffusion coefficient [ADC]) from diffusion-weighted imaging (DWI) and various quantitative and semiquantitative parameters from dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) with Ki-67 proliferation index (PI) in cervical carcinoma (CC).</p></div><div><h3>Methods</h3><p>A total of 102 individuals with CC who received 3.0 T MRI examination (DWI and DCE MRI) between October 2016 and December 2022 were enrolled in our investigation. Two radiologists separately assessed the ADC parameter and various quantitative and semiquantitative parameters including (volume transfer constant [<em>K</em><sup><em>trans</em></sup>], rate constant [<em>k</em><sub>ep</sub>], extravascular extracellular space volume fraction [<em>v</em><sub><em>e</em></sub>], volume fraction of plasma [<em>v</em><sub><em>p</em></sub>], time to peak [TTP], maximum concentration [MaxCon], maximal slope [MaxSlope] and area under curve [AUC]) for each tumor. Their association with Ki-67 PI was analyzed by Spearman association analysis. The discrepancy between low-proliferation and high-proliferation groups was subsequently analyzed. The receiver operating characteristic (ROC) curve analysis utilized to identify optimal cut-off points for significant parameters.</p></div><div><h3>Results</h3><p>Both ADC (ρ = −<!--> <!-->0.457, <em>p</em> < 0.001) and <em>K</em><sup>trans</sup> (ρ = −<!--> <!-->0.467, <em>p</em> < 0.001) indicated a strong negative association with Ki-67 PI. Ki-67 PI showed positive correlations with TTP, MaxCon, MaxSlope and AUC (ρ = 0.202, 0.231, 0.309, 0.235, respectively; all <em>p</em> values<0.05). Compared with the low-proliferation group, high-Ki-67 group presented a significantly lower ADC (0.869 ± 0.125 × 10<sup>−3</sup> mm<sup>2</sup>/s vs. 1.149 ± 0.318 × 10<sup>−3</sup> mm<sup>2</sup>/s; <em>p</em> < 0.001) and <em>K</em><sup>trans</sup> (1.314 ± 1.162 min<sup>−1</sup>vs. 0.391 ± 0.390 min<sup>−1</sup>; <em>p</em> < 0.001), also significantly higher MaxCon values (0.756 ± 0.959 vs. 0.422 ± 0.341; <em>p</em> < 0.05) and AUC values (2.373 ± 3.012 vs. 1.273 ± 1.000; <em>p</em> < 0.05). The cut-offs of ADC, <em>K</em><sup><em>trans</em></sup>, MaxCon and AUC for discrimating low- and high-Ki-67 groups were 0.920 × 10<sup>−3</sup> mm<sup>2</sup>/s, 0.304 min<sup>−1</sup>, 0.209 and 1.918, respectively.</p></div><div><h3>Conclusions</h3><p>ADC, <em>K</em><sup>trans</sup>, TTP, MaxCon, MaxSlope and AUC are associated with Ki-67 PI. ADC and <em>K</em><sup>trans</sup> exhibited high performance to discriminate low and high Ki-67 status of CC.</p></div>\",\"PeriodicalId\":18165,\"journal\":{\"name\":\"Magnetic resonance imaging\",\"volume\":\"112 \",\"pages\":\"Pages 136-143\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-07-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Magnetic resonance imaging\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0730725X24001851\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Magnetic resonance imaging","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0730725X24001851","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0
摘要
研究目的研究扩散加权成像（DWI）的定量参数（表观扩散系数[ADC]）和动态对比增强（DCE）磁共振成像（MRI）的各种定量和半定量参数与宫颈癌（CC）Ki-67增殖指数（PI）的关系：在2016年10月至2022年12月期间接受3.0 T磁共振成像检查（DWI和DCE磁共振成像）的102名CC患者被纳入我们的调查。两名放射科医生分别评估了每个肿瘤的 ADC 参数以及各种定量和半定量参数，包括（体积转移常数 [Ktrans]、速率常数 [kep]、血管外细胞外空间体积分数 [ve]、血浆体积分数 [vp]、达峰时间 [TTP]、最大浓度 [MaxCon]、最大斜率 [MaxSlope] 和曲线下面积 [AUC]）。它们与 Ki-67 PI 的关系通过斯皮尔曼关联分析进行了分析。随后分析了低增殖组和高增殖组之间的 Ki-67 PI 差异。利用接收器操作特征曲线（ROC）分析确定重要参数的最佳截断点：结果：ADC (ρ = -0.457, p trans (ρ = -0.467, p -3 mm2/s vs. 1.149 ± 0.318 × 10-3 mm2/s; p trans (1.314 ± 1.162 min-1vs. 0.391 ± 0.390 min-1; p trans, MaxCon 和 AUC 分别为 0.920 × 10-3 mm2/s, 0.304 min-1, 0.209 和 1.918：ADC、Ktrans、TTP、MaxCon、MaxSlope 和 AUC 与 Ki-67 PI 相关。ADC和Ktrans在区分CC的低Ki-67和高Ki-67状态方面表现出很高的性能。
Dynamic contrast-enhanced and diffusion-weighted MRI of cervical carcinoma: Correlations with Ki-67 proliferation status
Objectives
To investigate the association of quantitative parameter (apparent diffusion coefficient [ADC]) from diffusion-weighted imaging (DWI) and various quantitative and semiquantitative parameters from dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) with Ki-67 proliferation index (PI) in cervical carcinoma (CC).
Methods
A total of 102 individuals with CC who received 3.0 T MRI examination (DWI and DCE MRI) between October 2016 and December 2022 were enrolled in our investigation. Two radiologists separately assessed the ADC parameter and various quantitative and semiquantitative parameters including (volume transfer constant [Ktrans], rate constant [kep], extravascular extracellular space volume fraction [ve], volume fraction of plasma [vp], time to peak [TTP], maximum concentration [MaxCon], maximal slope [MaxSlope] and area under curve [AUC]) for each tumor. Their association with Ki-67 PI was analyzed by Spearman association analysis. The discrepancy between low-proliferation and high-proliferation groups was subsequently analyzed. The receiver operating characteristic (ROC) curve analysis utilized to identify optimal cut-off points for significant parameters.
Results
Both ADC (ρ = − 0.457, p < 0.001) and Ktrans (ρ = − 0.467, p < 0.001) indicated a strong negative association with Ki-67 PI. Ki-67 PI showed positive correlations with TTP, MaxCon, MaxSlope and AUC (ρ = 0.202, 0.231, 0.309, 0.235, respectively; all p values<0.05). Compared with the low-proliferation group, high-Ki-67 group presented a significantly lower ADC (0.869 ± 0.125 × 10−3 mm2/s vs. 1.149 ± 0.318 × 10−3 mm2/s; p < 0.001) and Ktrans (1.314 ± 1.162 min−1vs. 0.391 ± 0.390 min−1; p < 0.001), also significantly higher MaxCon values (0.756 ± 0.959 vs. 0.422 ± 0.341; p < 0.05) and AUC values (2.373 ± 3.012 vs. 1.273 ± 1.000; p < 0.05). The cut-offs of ADC, Ktrans, MaxCon and AUC for discrimating low- and high-Ki-67 groups were 0.920 × 10−3 mm2/s, 0.304 min−1, 0.209 and 1.918, respectively.
Conclusions
ADC, Ktrans, TTP, MaxCon, MaxSlope and AUC are associated with Ki-67 PI. ADC and Ktrans exhibited high performance to discriminate low and high Ki-67 status of CC.
期刊介绍：
Magnetic Resonance Imaging (MRI) is the first international multidisciplinary journal encompassing physical, life, and clinical science investigations as they relate to the development and use of magnetic resonance imaging. MRI is dedicated to both basic research, technological innovation and applications, providing a single forum for communication among radiologists, physicists, chemists, biochemists, biologists, engineers, internists, pathologists, physiologists, computer scientists, and mathematicians.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
