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建立并验证预测首次经尿道膀胱肿瘤切除术前行膀胱癌高级别乳头状瘤的列线图。

Development and external validation of a nomogram to predict high-grade papillary bladder cancer before first-time transurethral resection of the bladder tumor.

机构信息

Department of Urology, Toho University Sakura Medical Center, 564-1 Shimoshizu, Sakura, Chiba, 285-8741, Japan.

Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, 450 West Drive, Chapel Hill, NC, 27599-7295, USA.

出版信息

Int J Clin Oncol. 2018 Oct;23(5):957-964. doi: 10.1007/s10147-018-1299-y. Epub 2018 May 26.

Abstract

BACKGROUND

The aim of this study was to identify the clinical predictors related to the risk of high-grade papillary bladder cancer before first-time transurethral resection of a bladder tumor (TUR-Bt), and to develop and validate a nomogram predicting the risk of high-grade papillary bladder cancer.

METHODS

A retrospective clinical study of consecutive patients who underwent first-time TUR-Bt for papillary bladder cancer was performed. Medical records were reviewed uniformly, and the following data were collected: age, sex, episodes of urinary symptoms, tumor size, number of tumors, location of the largest tumor (lateral walls, base, posterior wall, dome, and anterior wall), tumor appearance (papillary or non-papillary, pedunculated or sessile), and urinary cytology. Data from 254 patients (Group A) were used for the development of a nomogram, while data from 170 patients (Group B) were used for its external validation.

RESULTS

High-grade papillary bladder cancer was pathologically diagnosed in 51.6 and 74.6% of Group A and Group B patients, respectively. Based on univariable analyses in Group A, macrohematuria, tumor size, multiple tumors, appearance, and positive urinary cytology were selected as variables to incorporate into a nomogram. The AUC value was 0.81 for the internal validation (Group A), and 0.78 for the external validation (Group B). This novel nomogram can predict high-grade papillary bladder cancer accurately.

CONCLUSIONS

The present nomogram can help clinicians calculate the probability in patients with bladder cancer before TUR-Bt and decide on earlier intervention and priorities for the treatment of patients diagnosed with bladder cancer.

摘要

背景

本研究旨在确定首次经尿道膀胱肿瘤切除术(TUR-Bt)前与高级别乳头状膀胱癌风险相关的临床预测因素,并开发和验证预测高级别乳头状膀胱癌风险的列线图。

方法

对行首次 TUR-Bt 治疗的乳头状膀胱癌连续患者进行回顾性临床研究。统一回顾病历,收集以下数据:年龄、性别、尿路症状发作次数、肿瘤大小、肿瘤数量、最大肿瘤位置(侧壁、底部、后壁、穹窿和前壁)、肿瘤外观(乳头状或非乳头状、有蒂或无蒂)和尿细胞学。254 例患者(A 组)的数据用于开发列线图,而 170 例患者(B 组)的数据用于外部验证。

结果

A 组和 B 组分别有 51.6%和 74.6%的患者病理诊断为高级别乳头状膀胱癌。基于 A 组的单变量分析,肉眼血尿、肿瘤大小、多个肿瘤、外观和阳性尿细胞学被选为纳入列线图的变量。内部验证的 AUC 值为 0.81(A 组),外部验证的 AUC 值为 0.78(B 组)。该新列线图可准确预测高级别乳头状膀胱癌。

结论

本列线图有助于临床医生在 TUR-Bt 前计算膀胱癌患者的概率,并决定对膀胱癌患者进行早期干预和治疗优先级。

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