Characterization of Demographical Histologic Diversity in Small Renal Masses With the Clear Cell Likelihood Score.

IF 1 4区 医学 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Journal of Computer Assisted Tomography Pub Date : 2024-05-01 Epub Date: 2024-01-09 DOI:10.1097/RCT.0000000000001567
Louis C Vazquez, Yin Xi, Robert G Rasmussen, Jose E Rodriguez Venzor, Payal Kapur, Hua Zhong, Jessica C Dai, Tara N Morgan, Jeffrey A Cadeddu, Ivan Pedrosa
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Abstract

Objective: This study aimed to develop a diagnostic model to estimate the distribution of small renal mass (SRM; ≤4 cm) histologic subtypes for patients with different demographic backgrounds and clear cell likelihood score (ccLS) designations.

Materials and methods: A bi-institution retrospective cohort study was conducted where 347 patients (366 SRMs) underwent magnetic resonance imaging and received a ccLS before pathologic confirmation between June 2016 and November 2021. Age, sex, race, ethnicity, socioeconomic status, body mass index (BMI), and the ccLS were tabulated. The socioeconomic status for each patient was determined using the Area Deprivation Index associated with their residential address. The magnetic resonance imaging-derived ccLS assists in the characterization of SRMs by providing a likelihood of clear cell renal cell carcinoma (ccRCC). Pathological subtypes were grouped into four categories (ccRCC, papillary renal cell carcinoma, other renal cell carcinomas, or benign). Generalized estimating equations were used to estimate probabilities of the pathological subtypes across different patient subgroups.

Results: Race and ethnicity, BMI, and ccLS were significant predictors of histology (all P < 0.001). Obese (BMI, ≥30 kg/m 2 ) Hispanic patients with ccLS of ≥4 had the highest estimated rate of ccRCC (97.1%), and normal-weight (BMI, <25 kg/m 2 ) non-Hispanic Black patients with ccLS ≤2 had the lowest (0.2%). The highest estimated rates of papillary renal cell carcinoma were found in overweight (BMI, 25-30 kg/m 2 ) non-Hispanic Black patients with ccLS ≤2 (92.3%), and the lowest, in obese Hispanic patients with ccLS ≥4 (<0.1%).

Conclusions: Patient race, ethnicity, BMI, and ccLS offer synergistic information to estimate the probabilities of SRM histologic subtypes.

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用透明细胞似然性评分表征小肾肿块的人口组织学多样性
研究目的本研究旨在建立一个诊断模型,以估计不同人口背景和透明细胞可能性评分(ccLS)指定的患者小肾肿块(SRM;≤4 cm)组织学亚型的分布情况:在2016年6月至2021年11月期间,347名患者(366名SRM)接受了磁共振成像检查,并在病理确认前接受了ccLS。研究人员对年龄、性别、种族、民族、社会经济状况、体重指数(BMI)和 ccLS 进行了统计。每位患者的社会经济状况是根据与其居住地址相关的地区贫困指数确定的。磁共振成像得出的ccLS通过提供透明细胞肾细胞癌(ccRCC)的可能性来帮助SRM定性。病理亚型分为四类(ccRCC、乳头状肾细胞癌、其他肾细胞癌或良性)。使用广义估计方程来估计不同患者亚群的病理亚型概率:结果:种族和民族、体重指数和ccLS是组织学的重要预测因素(P均<0.001)。肥胖(BMI,≥30 kg/m2)且ccLS≥4的西班牙裔患者估计ccRCC发病率最高(97.1%),正常体重(BMI,≥30 kg/m2)的西班牙裔患者估计ccRCC发病率最高(97.1%):患者的种族、民族、体重指数和ccLS为估计SRM组织学亚型的概率提供了协同信息。
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来源期刊
CiteScore
2.50
自引率
0.00%
发文量
230
审稿时长
4-8 weeks
期刊介绍: The mission of Journal of Computer Assisted Tomography is to showcase the latest clinical and research developments in CT, MR, and closely related diagnostic techniques. We encourage submission of both original research and review articles that have immediate or promissory clinical applications. Topics of special interest include: 1) functional MR and CT of the brain and body; 2) advanced/innovative MRI techniques (diffusion, perfusion, rapid scanning); and 3) advanced/innovative CT techniques (perfusion, multi-energy, dose-reduction, and processing).
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