Development and validation of intravoxel incoherent motion diffusion weighted imaging-based model for preoperative distinguishing nuclear grade and survival of clear cell renal cell carcinoma complicated with venous tumor thrombus.

IF 3.5 2区 医学 Q2 ONCOLOGY
Jian Zhao, Honghao Xu, Yonggui Fu, Xiaohui Ding, Meifeng Wang, Cheng Peng, Huanhuan Kang, Huiping Guo, Xu Bai, Shaopeng Zhou, Kan Liu, Lin Li, Xu Zhang, Xin Ma, Xinjiang Wang, Haiyi Wang
{"title":"Development and validation of intravoxel incoherent motion diffusion weighted imaging-based model for preoperative distinguishing nuclear grade and survival of clear cell renal cell carcinoma complicated with venous tumor thrombus.","authors":"Jian Zhao, Honghao Xu, Yonggui Fu, Xiaohui Ding, Meifeng Wang, Cheng Peng, Huanhuan Kang, Huiping Guo, Xu Bai, Shaopeng Zhou, Kan Liu, Lin Li, Xu Zhang, Xin Ma, Xinjiang Wang, Haiyi Wang","doi":"10.1186/s40644-024-00816-2","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To assess the utility of multiparametric MRI and clinical indicators in distinguishing nuclear grade and survival of clear cell renal cell carcinoma (ccRCC) complicated with venous tumor thrombus (VTT).</p><p><strong>Materials and methods: </strong>This study included 105 and 27 patients in the training and test sets, respectively. Preoperative MRI, including intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI), was performed. Renal lesions were evaluated for IVIM-DWI metrics and conventional MRI features. All the patients had postoperative histologically proven ccRCC and VTT. An expert uropathologist reviewed all specimens to confirm the nuclear grade of the World Health Organization/ International Society of Urological Pathology (WHO/ISUP) of the tumor. Univariate and multivariable logistic regression analyses were used to select the preoperative imaging features and clinical indicators. The predictive ability of the logistic regression model was assessed using receiver operating characteristic (ROC) analysis. Survival curves were plotted using the Kaplan-Meier method.</p><p><strong>Results: </strong>High WHO/ISUP nuclear grade was confirmed in 69 of 105 patients (65.7%) in the training set and 19 of 27 patients (70.4%) in the test set, respectively (P = 0.647). D<sub>p_ROI_Low</sub>, tumor size, serum albumin, platelet count, and lymphocyte count were independently related to high WHO/ISUP nuclear grade in the training set. The model identified high WHO/ISUP nuclear grade well, with an AUC of 0.817 (95% confidence interval [CI]: 0.735-0.899), a sensitivity of 70.0%, and a specificity of 77.8% in the training set. In the independent test set, the model demonstrated an AUC of 0.766 (95% CI, 0.567-0.966), a sensitivity of 79.0%, and a specificity of 75.0%. Kaplan-Meier analysis showed that the predicted high WHO/ISUP nuclear grade group had poorer progression-free survival than the low WHO/ISUP nuclear grade group in both the training and test sets (P = 0.001 and P = 0.021).</p><p><strong>Conclusions: </strong>IVIM-DWI-derived parameters and clinical indicators can be used to differentiate nuclear grades and predict progression-free survival of ccRCC and VTT.</p>","PeriodicalId":9548,"journal":{"name":"Cancer Imaging","volume":"24 1","pages":"164"},"PeriodicalIF":3.5000,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11654007/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Imaging","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s40644-024-00816-2","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Objective: To assess the utility of multiparametric MRI and clinical indicators in distinguishing nuclear grade and survival of clear cell renal cell carcinoma (ccRCC) complicated with venous tumor thrombus (VTT).

Materials and methods: This study included 105 and 27 patients in the training and test sets, respectively. Preoperative MRI, including intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI), was performed. Renal lesions were evaluated for IVIM-DWI metrics and conventional MRI features. All the patients had postoperative histologically proven ccRCC and VTT. An expert uropathologist reviewed all specimens to confirm the nuclear grade of the World Health Organization/ International Society of Urological Pathology (WHO/ISUP) of the tumor. Univariate and multivariable logistic regression analyses were used to select the preoperative imaging features and clinical indicators. The predictive ability of the logistic regression model was assessed using receiver operating characteristic (ROC) analysis. Survival curves were plotted using the Kaplan-Meier method.

Results: High WHO/ISUP nuclear grade was confirmed in 69 of 105 patients (65.7%) in the training set and 19 of 27 patients (70.4%) in the test set, respectively (P = 0.647). Dp_ROI_Low, tumor size, serum albumin, platelet count, and lymphocyte count were independently related to high WHO/ISUP nuclear grade in the training set. The model identified high WHO/ISUP nuclear grade well, with an AUC of 0.817 (95% confidence interval [CI]: 0.735-0.899), a sensitivity of 70.0%, and a specificity of 77.8% in the training set. In the independent test set, the model demonstrated an AUC of 0.766 (95% CI, 0.567-0.966), a sensitivity of 79.0%, and a specificity of 75.0%. Kaplan-Meier analysis showed that the predicted high WHO/ISUP nuclear grade group had poorer progression-free survival than the low WHO/ISUP nuclear grade group in both the training and test sets (P = 0.001 and P = 0.021).

Conclusions: IVIM-DWI-derived parameters and clinical indicators can be used to differentiate nuclear grades and predict progression-free survival of ccRCC and VTT.

基于体素内非相干运动扩散加权成像的透明细胞肾细胞癌合并静脉肿瘤血栓术前核分级及生存鉴别模型的建立与验证。
目的:探讨多参数MRI及临床指标在透明细胞肾细胞癌(ccRCC)合并静脉肿瘤血栓(VTT)的核分级及生存鉴别中的应用价值。材料和方法:本研究纳入105例患者作为训练集,27例患者作为测试集。术前行MRI检查,包括体素内非相干运动扩散加权成像(IVIM-DWI)。通过IVIM-DWI指标和常规MRI特征评估肾脏病变。所有患者术后均有组织学证实的ccRCC和VTT。一位泌尿病理学专家检查了所有标本,以确认世界卫生组织/国际泌尿病理学学会(WHO/ISUP)对肿瘤的核分级。采用单因素和多因素logistic回归分析选择术前影像学特征和临床指标。采用受试者工作特征(ROC)分析评估logistic回归模型的预测能力。采用Kaplan-Meier法绘制生存曲线。结果:训练组105例患者中有69例(65.7%)确诊为高WHO/ISUP核分级,测试组27例患者中有19例(70.4%)确诊为高WHO/ISUP核分级(P = 0.647)。Dp_ROI_Low、肿瘤大小、血清白蛋白、血小板计数和淋巴细胞计数与训练集中WHO/ISUP核分级高独立相关。该模型可以很好地识别WHO/ISUP高核分级,AUC为0.817(95%置信区间[CI]: 0.735-0.899),灵敏度为70.0%,特异性为77.8%。在独立测试集中,该模型的AUC为0.766 (95% CI为0.567-0.966),灵敏度为79.0%,特异性为75.0%。Kaplan-Meier分析显示,无论是训练集还是测试集,预测WHO/ISUP高核分级组的无进展生存期均低于WHO/ISUP低核分级组(P = 0.001和P = 0.021)。结论:ivim - dwi衍生参数和临床指标可用于区分ccRCC和VTT的核分级和预测无进展生存期。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Cancer Imaging
Cancer Imaging ONCOLOGY-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
CiteScore
7.00
自引率
0.00%
发文量
66
审稿时长
>12 weeks
期刊介绍: Cancer Imaging is an open access, peer-reviewed journal publishing original articles, reviews and editorials written by expert international radiologists working in oncology. The journal encompasses CT, MR, PET, ultrasound, radionuclide and multimodal imaging in all kinds of malignant tumours, plus new developments, techniques and innovations. Topics of interest include: Breast Imaging Chest Complications of treatment Ear, Nose & Throat Gastrointestinal Hepatobiliary & Pancreatic Imaging biomarkers Interventional Lymphoma Measurement of tumour response Molecular functional imaging Musculoskeletal Neuro oncology Nuclear Medicine Paediatric.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信