Suppr超能文献

R.E.N.A.L. 肾脏肿瘤评分:泌尿科医师、放射科医师和协作医师评分的相关性如何?

R.E.N.A.L. Nephrometry scoring: how well correlated are urologist, radiologist, and collaborator scores?

机构信息

1 Department of Urology, Indiana University School of Medicine , Indianapolis, Indiana.

出版信息

J Endourol. 2014 Aug;28(8):1006-10. doi: 10.1089/end.2014.0166. Epub 2014 May 28.

Abstract

PURPOSE

R.E.N.A.L. Nephrometry Score (NS) is an imaging-based (CT/MRI) scoring system commonly used by urologists to standardize the reporting of renal masses by enabling quantification of anatomical characteristics. We sought to examine the inter-rater correlation of NS between urologists, radiologists, and tumor-board collaborators.

METHODS

We identified adult patients undergoing partial or radical nephrectomy over 10 years (n=2450). Patients with autosomal dominant polycystic kidney disease (ADPKD), metastatic disease, masses >10 cm, and studies in which the study urologists or radiologists partook in patient care were excluded. Preoperative imaging was evaluated and patients with multiphasic CT available were included. Scans were provided to the reviewers to evaluate with a R.E.N.A.L. nephrometry questionnaire. Results were analyzed using kappa correlation coefficients.

RESULTS

One hundred twenty patients met inclusion criteria with mean age of 59.5 years. The majority of cases were partial nephrectomies (72%). Eighty-five percent of the tumors were malignant, with 26% having high-grade histology. The mean (standard deviation) overall NS was 6.8 (1.9) with fair correlation among reviewers (κ=0.222). Collaborators had the highest inter-rater correlation, ranging from 0.41 to 0.84 for NS component scores, compared with 0.42-0.85 for radiologists and 0.36-0.86 for urologists. "R" scores were best correlated (κ>0.8). NS correlation ranged between 0.16 and 0.31 for the groups while the NS complexity category correlation ranged between 0.50 and 0.61.

CONCLUSIONS

Despite being naive to NS, inter-radiologist scoring patterns were better correlated than inter-urologist. The urologist and radiologist collaborating in tumor board showed the highest agreement, suggesting that a multidisciplinary approach in the characterization of renal masses may provide benefit to patient management.

摘要

目的

R.E.N.A.L. 肾脏肿瘤评分(NS)是一种基于影像学(CT/MRI)的评分系统,通常由泌尿科医生用于标准化肾肿瘤报告,通过量化解剖学特征来实现。我们旨在研究泌尿科医生、放射科医生和肿瘤委员会协作者之间的 NS 评分的组内相关性。

方法

我们确定了 10 年来接受部分或根治性肾切除术的成年患者(n=2450)。排除常染色体显性多囊肾病(ADPKD)、转移性疾病、直径>10cm 的肿块以及研究泌尿科医生或放射科医生参与患者治疗的研究。评估术前影像学检查,并纳入有多期 CT 检查的患者。将扫描结果提供给审查者,使用 R.E.N.A.L. 肾脏肿瘤测量问卷进行评估。使用 Kappa 相关系数分析结果。

结果

120 名患者符合纳入标准,平均年龄为 59.5 岁。大多数病例为部分肾切除术(72%)。85%的肿瘤为恶性,其中 26%为高级别组织学。总的 NS 平均值(标准差)为 6.8(1.9),各评分者之间的相关性为中等(κ=0.222)。与泌尿科医生(0.42-0.86)和放射科医生(0.42-0.85)相比,协作者的组内评分相关性最高,范围为 0.41-0.84,而“R”评分相关性最好(κ>0.8)。各组的 NS 相关性范围为 0.16-0.31,而 NS 复杂性分类的相关性范围为 0.50-0.61。

结论

尽管对 NS 评分不熟悉,但放射科医生之间的评分模式比泌尿科医生之间的评分模式更相关。在肿瘤委员会中协作的泌尿科医生和放射科医生之间具有最高的一致性,这表明多学科方法在肾肿瘤特征描述中可能对患者管理有益。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验