{"title":"一项多中心回顾性研究:预测机器人辅助肾部分切除术三节段失败的新模型——直径和窦性评分的发展和验证。","authors":"Yuto Hattori, Kosuke Kobayashi, Hiromichi Nakagawa, Yusuke Hama, Kimihiko Masui, Shigeki Arizono, Noboru Shibasaki, Koji Inoue, Kazuhiro Okumura, Mutsushi Kawakita, Toshinari Yamasaki","doi":"10.1177/08927790251364230","DOIUrl":null,"url":null,"abstract":"<p><p><b><i>Objectives:</i></b> To evaluate and restratify each component of the RENAL score and develop a novel model to predict the difficulty of robot-assisted partial nephrectomy. <b><i>Subjects and Methods:</i></b> This retrospective multicenter study included 847 patients with localized renal-cell carcinoma, including 401 in the development cohort and 446 in the validation cohort. Multivariate logistic regression analysis was performed on the subdivided variable of the RENAL score to develop a novel model. The predictive performance of the novel model was evaluated by external validation using the receiver operating characteristic curve and area under the curve (AUC). <b><i>Results:</i></b> The trifecta achievement rates in the development and validation cohorts were 71.8% and 74.9%, respectively. Multivariate analysis of the development cohort revealed that the R and N components of the RENAL score were significantly associated with trifecta failure. The R score was restratified into three categories of diameter score (<30 mm, 0 point, 30-49 mm, 1 point; ≥50 mm, 2 points), and the N score was restratified into four categories of sinus score (not in contact, 0 point; touching the sinus, 1 point; simple protrusion, 2 points; complex protrusion, 3 points). The sum of the diameter and sinus (DS) scores was developed. In the external validation cohort, the AUC of the DS score was 0.73 (95% confidence interval [CI]: 0.68-0.78), higher than that of the RENAL score (0.68, 95% CI: 0.62-0.73, <i>p</i> = 0.048) and SPARE model (0.69, 95% CI: 0.64-0.75, 0.06). The interobserver concordance for the DS score using Cohen's weighted kappa was considered excellent (κ = 0.94 [95% CI: 0.92-0.95]). <b><i>Conclusions:</i></b> We developed a simple and novel model comprising only two components. External validation revealed that its predictive performance was better than that of the RENAL score.</p>","PeriodicalId":15723,"journal":{"name":"Journal of endourology","volume":" ","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development and Validation of the Diameter and Sinus Score, a Novel Model to Predict Trifecta Failure for Robot-Assisted Partial Nephrectomy: A Multicenter Retrospective Study.\",\"authors\":\"Yuto Hattori, Kosuke Kobayashi, Hiromichi Nakagawa, Yusuke Hama, Kimihiko Masui, Shigeki Arizono, Noboru Shibasaki, Koji Inoue, Kazuhiro Okumura, Mutsushi Kawakita, Toshinari Yamasaki\",\"doi\":\"10.1177/08927790251364230\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b><i>Objectives:</i></b> To evaluate and restratify each component of the RENAL score and develop a novel model to predict the difficulty of robot-assisted partial nephrectomy. <b><i>Subjects and Methods:</i></b> This retrospective multicenter study included 847 patients with localized renal-cell carcinoma, including 401 in the development cohort and 446 in the validation cohort. Multivariate logistic regression analysis was performed on the subdivided variable of the RENAL score to develop a novel model. The predictive performance of the novel model was evaluated by external validation using the receiver operating characteristic curve and area under the curve (AUC). <b><i>Results:</i></b> The trifecta achievement rates in the development and validation cohorts were 71.8% and 74.9%, respectively. Multivariate analysis of the development cohort revealed that the R and N components of the RENAL score were significantly associated with trifecta failure. The R score was restratified into three categories of diameter score (<30 mm, 0 point, 30-49 mm, 1 point; ≥50 mm, 2 points), and the N score was restratified into four categories of sinus score (not in contact, 0 point; touching the sinus, 1 point; simple protrusion, 2 points; complex protrusion, 3 points). The sum of the diameter and sinus (DS) scores was developed. In the external validation cohort, the AUC of the DS score was 0.73 (95% confidence interval [CI]: 0.68-0.78), higher than that of the RENAL score (0.68, 95% CI: 0.62-0.73, <i>p</i> = 0.048) and SPARE model (0.69, 95% CI: 0.64-0.75, 0.06). The interobserver concordance for the DS score using Cohen's weighted kappa was considered excellent (κ = 0.94 [95% CI: 0.92-0.95]). <b><i>Conclusions:</i></b> We developed a simple and novel model comprising only two components. External validation revealed that its predictive performance was better than that of the RENAL score.</p>\",\"PeriodicalId\":15723,\"journal\":{\"name\":\"Journal of endourology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2025-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of endourology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1177/08927790251364230\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"UROLOGY & NEPHROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of endourology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/08927790251364230","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"UROLOGY & NEPHROLOGY","Score":null,"Total":0}
Development and Validation of the Diameter and Sinus Score, a Novel Model to Predict Trifecta Failure for Robot-Assisted Partial Nephrectomy: A Multicenter Retrospective Study.
Objectives: To evaluate and restratify each component of the RENAL score and develop a novel model to predict the difficulty of robot-assisted partial nephrectomy. Subjects and Methods: This retrospective multicenter study included 847 patients with localized renal-cell carcinoma, including 401 in the development cohort and 446 in the validation cohort. Multivariate logistic regression analysis was performed on the subdivided variable of the RENAL score to develop a novel model. The predictive performance of the novel model was evaluated by external validation using the receiver operating characteristic curve and area under the curve (AUC). Results: The trifecta achievement rates in the development and validation cohorts were 71.8% and 74.9%, respectively. Multivariate analysis of the development cohort revealed that the R and N components of the RENAL score were significantly associated with trifecta failure. The R score was restratified into three categories of diameter score (<30 mm, 0 point, 30-49 mm, 1 point; ≥50 mm, 2 points), and the N score was restratified into four categories of sinus score (not in contact, 0 point; touching the sinus, 1 point; simple protrusion, 2 points; complex protrusion, 3 points). The sum of the diameter and sinus (DS) scores was developed. In the external validation cohort, the AUC of the DS score was 0.73 (95% confidence interval [CI]: 0.68-0.78), higher than that of the RENAL score (0.68, 95% CI: 0.62-0.73, p = 0.048) and SPARE model (0.69, 95% CI: 0.64-0.75, 0.06). The interobserver concordance for the DS score using Cohen's weighted kappa was considered excellent (κ = 0.94 [95% CI: 0.92-0.95]). Conclusions: We developed a simple and novel model comprising only two components. External validation revealed that its predictive performance was better than that of the RENAL score.
期刊介绍:
Journal of Endourology, JE Case Reports, and Videourology are the leading peer-reviewed journal, case reports publication, and innovative videojournal companion covering all aspects of minimally invasive urology research, applications, and clinical outcomes.
The leading journal of minimally invasive urology for over 30 years, Journal of Endourology is the essential publication for practicing surgeons who want to keep up with the latest surgical technologies in endoscopic, laparoscopic, robotic, and image-guided procedures as they apply to benign and malignant diseases of the genitourinary tract. This flagship journal includes the companion videojournal Videourology™ with every subscription. While Journal of Endourology remains focused on publishing rigorously peer reviewed articles, Videourology accepts original videos containing material that has not been reported elsewhere, except in the form of an abstract or a conference presentation.
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The latest laparoscopic, robotic, endoscopic, and image-guided techniques for treating both benign and malignant conditions
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Endourology survey section of endourology relevant manuscripts published in other journals.