血尿患者使用识别风险计算器估计尿路肿瘤的预测。

IF 1.9 Q3 UROLOGY & NEPHROLOGY
Central European Journal of Urology Pub Date : 2024-01-01 Epub Date: 2024-12-28 DOI:10.5173/ceju.2024.0113
Beatriz Gutiérrez Hidalgo, Juan Gómez Rivas, Irene de la Parra, Rommel Arévalo, M Isabel Galante Romo, Marco Ciappara, Enrique Redondo, Jesús Moreno-Sierra
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引用次数: 0

摘要

将血尿患者分为危险组对早期诊断尿路癌和优化医疗资源具有重要意义。本研究旨在评估IDENTIFY计算器在这些患者的初步研究中的作用,以及它在将患者划分为风险组方面的用途。材料和方法:2020年6月至2022年6月对血尿患者进行研究。使用IDENTIFY计算器将他们分为不同的风险组。比较两组患者膀胱肿瘤的最终诊断结果。根据计算器获得的风险百分比和膀胱肿瘤的最终诊断计算受试者工作特征(ROC)曲线。结果:我们纳入了255例患者。39例(15.3%)膀胱癌影像学检查呈阳性。经尿道膀胱肿瘤切除术39例;阴性4例,Ta 18例,T1 2例,T2 14例,原位癌(CIS) 1例。35例(13.8%)最终诊断为膀胱肿瘤。这些患者分为:低危1例(2.9%),中危4例(11.4%),高危30例(85.7%);结论:膀胱癌高危组患者的膀胱癌诊断率高于其他高危组。IDENTIFY风险计算器是一种简单易用的工具,在尿路肿瘤,特别是膀胱癌的诊断中具有可接受的歧视。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Estimated prediction of urinary tract neoplasms using the identify risk calculator in patients with haematuria.

Estimated prediction of urinary tract neoplasms using the identify risk calculator in patients with haematuria.

Estimated prediction of urinary tract neoplasms using the identify risk calculator in patients with haematuria.

Introduction: The classification of patients studied for haematuria into risk groups is important for early diagnosis of urinary tract cancers and optimising healthcare resources. This study aims to evaluate the role of the IDENTIFY calculator in the initial study of these patients and its use for classifying patients into risk groups.

Material and methods: A study of patients with haematuria was performed from June 2020 to June 2022. They were classified into risk groups using the IDENTIFY calculator. Final diagnosis of bladder neoplasia between the risk groups was compared. Receiver operating characteristic (ROC) curves were calculated according to the percentage of risk obtained with the calculator and the final diagnosis of bladder neoplasia.

Results: We included 255 patients. Imaging tests were positive for bladder cancer in 39 patients (15.3%). Transurethral resection of bladder tumour was performed in 39 cases; 4 were negative, 18 cases Ta, 2 cases T1, 14 cases T2, and one case carcinoma in situ (CIS). The final diagnosis was bladder neoplasia in 35 patients (13.8%). These patients were classified as: one low risk (2.9%), 4 intermediate risk (11.4%), and 30 high risk (85.7%); p <0.001. ROC curves were calculated, with an AUC (area under curve) of 0.89; p <0.001.

Conclusions: Patients classified into the high-risk group were more frequently diagnosed with bladder cancer than other risk groups. The IDENTIFY risk calculator is a simple and easy-to-use tool with acceptable discrimination in the diagnosis of urinary tract tumours, specifically bladder cancer.

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来源期刊
Central European Journal of Urology
Central European Journal of Urology UROLOGY & NEPHROLOGY-
CiteScore
2.30
自引率
8.30%
发文量
48
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