亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Quantitative Measurement on Contrast-Enhanced CT Distinguishes Small Clear Cell Renal Cell Carcinoma From Benign Renal Tumors: A Multicenter Study

医学 肾细胞癌 队列 肾皮质 肾透明细胞癌 逻辑回归 清除单元格 核医学 泌尿科 放射科 内科学
作者
Shi‐Wei Luo,Wanxian Lin,Jialiang Wu,Wanli Zhang,Xiaoyan Kui,Shengsheng Lai,Ruili Wei,Xinrui Pang,Ye Wang,Chutong He,Jun Liu,Ruimeng Yang
出处
期刊:Academic Radiology [Elsevier BV]
卷期号:31 (4): 1460-1471 被引量:2
标识
DOI:10.1016/j.acra.2023.10.014
摘要

Rationale and Objectives To evaluate the potential of quantitative measurements on contrast-enhanced CT (CECT) in differentiating small (≤4 cm) clear cell renal cell carcinoma (ccRCC) from benign renal tumors, including fat-poor angiomyolipoma (fpAML) and renal oncocytoma (RO). Materials and Methods 244 patients with pathologically confirmed ccRCC (n = 184) and benign renal tumors (fpAML, n = 50; RO, n = 10) were randomly assigned into training cohort (n = 193) and test cohort 1 (n = 51), while external test cohort 2 (n = 50) was from another hospital. Quantitative parameters were obtained from CECT (unenhanced phase, UP; corticomedullary phase, CMP; nephrographic phase, NP; excretory phase, EP) by measuring attenuation of renal mass and cortex and subsequently calculated. Univariable and multivariable logistic regression analyses were performed to evaluate the association between these parameters and ccRCC. Finally, the constructed models were compared with radiologists' diagnoses. Results In univariable analysis, UP-related parameters, particularly UPC-T (cortex minus tumor attenuation on UP), demonstrated AUC of 0.766 in training cohort, 0.901 in test cohort 1, 0.805 in test cohort 2. The heterogeneity-related parameter SD (standard deviation) showed AUC of 0.781, 0.834, and 0.875 respectively. In multivariable analysis, model 1 incorporating UPC-T, NPC-T (cortex minus tumor attenuation on NP), CMPT-UPT (tumor attenuation on CMP minus UP), and SD yielded AUC of 0.866, 0.923, and 0.949 respectively. When compared with radiologists, multivariate models demonstrated higher accuracy (0.800–0.860) and sensitivity (0.794–0.971) than radiologists' assessments (accuracy: 0.700–0.720, sensitivity: 0.588–0.706). Conclusion Quantitative measurements on CECT, particularly UP- and heterogeneity-related parameters, have potential to discriminate ccRCC and benign renal tumors (fpAML, RO). To evaluate the potential of quantitative measurements on contrast-enhanced CT (CECT) in differentiating small (≤4 cm) clear cell renal cell carcinoma (ccRCC) from benign renal tumors, including fat-poor angiomyolipoma (fpAML) and renal oncocytoma (RO). 244 patients with pathologically confirmed ccRCC (n = 184) and benign renal tumors (fpAML, n = 50; RO, n = 10) were randomly assigned into training cohort (n = 193) and test cohort 1 (n = 51), while external test cohort 2 (n = 50) was from another hospital. Quantitative parameters were obtained from CECT (unenhanced phase, UP; corticomedullary phase, CMP; nephrographic phase, NP; excretory phase, EP) by measuring attenuation of renal mass and cortex and subsequently calculated. Univariable and multivariable logistic regression analyses were performed to evaluate the association between these parameters and ccRCC. Finally, the constructed models were compared with radiologists' diagnoses. In univariable analysis, UP-related parameters, particularly UPC-T (cortex minus tumor attenuation on UP), demonstrated AUC of 0.766 in training cohort, 0.901 in test cohort 1, 0.805 in test cohort 2. The heterogeneity-related parameter SD (standard deviation) showed AUC of 0.781, 0.834, and 0.875 respectively. In multivariable analysis, model 1 incorporating UPC-T, NPC-T (cortex minus tumor attenuation on NP), CMPT-UPT (tumor attenuation on CMP minus UP), and SD yielded AUC of 0.866, 0.923, and 0.949 respectively. When compared with radiologists, multivariate models demonstrated higher accuracy (0.800–0.860) and sensitivity (0.794–0.971) than radiologists' assessments (accuracy: 0.700–0.720, sensitivity: 0.588–0.706). Quantitative measurements on CECT, particularly UP- and heterogeneity-related parameters, have potential to discriminate ccRCC and benign renal tumors (fpAML, RO).
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
123完成签到,获得积分10
5秒前
英俊的铭应助DJHKFD采纳,获得10
9秒前
15秒前
量子星尘发布了新的文献求助10
17秒前
ma发布了新的文献求助10
23秒前
科研通AI5应助Nancy采纳,获得10
27秒前
平淡如天完成签到,获得积分10
27秒前
等待霸完成签到,获得积分10
28秒前
31秒前
笨笨芯发布了新的文献求助10
35秒前
35秒前
ZL完成签到 ,获得积分10
38秒前
Bravetwq发布了新的文献求助10
41秒前
小马甲应助笨笨芯采纳,获得10
47秒前
Bravetwq完成签到,获得积分10
53秒前
笨笨芯完成签到,获得积分10
53秒前
量子星尘发布了新的文献求助10
53秒前
qiang发布了新的文献求助20
55秒前
光亮小蚂蚁完成签到 ,获得积分10
56秒前
1分钟前
1分钟前
Rainbow完成签到 ,获得积分10
1分钟前
11发布了新的文献求助10
1分钟前
1分钟前
研友_VZG7GZ应助qiang采纳,获得10
1分钟前
lingyun4592发布了新的文献求助10
1分钟前
1分钟前
搜集达人应助科研通管家采纳,获得10
1分钟前
隐形曼青应助科研通管家采纳,获得10
1分钟前
lvkeyan完成签到,获得积分10
1分钟前
风清扬应助科研通管家采纳,获得10
1分钟前
HEIKU应助科研通管家采纳,获得10
1分钟前
1分钟前
风清扬应助科研通管家采纳,获得10
1分钟前
wonder123发布了新的文献求助10
1分钟前
莫愁完成签到 ,获得积分10
1分钟前
wonder123完成签到,获得积分10
1分钟前
ckyyds完成签到 ,获得积分10
1分钟前
小宋应助sandy采纳,获得10
1分钟前
penghui完成签到,获得积分10
1分钟前
高分求助中
Africanfuturism: African Imaginings of Other Times, Spaces, and Worlds 3000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 2000
The Oxford Encyclopedia of the History of Modern Psychology 2000
Synthesis of 21-Thioalkanoic Acids of Corticosteroids 1000
Electron microscopy study of magnesium hydride (MgH2) for Hydrogen Storage 1000
Applied Survey Data Analysis (第三版, 2025) 850
Structural Equation Modeling of Multiple Rater Data 700
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3885685
求助须知:如何正确求助?哪些是违规求助? 3427807
关于积分的说明 10756982
捐赠科研通 3152700
什么是DOI,文献DOI怎么找? 1740539
邀请新用户注册赠送积分活动 840289
科研通“疑难数据库(出版商)”最低求助积分说明 785280