Suppr超能文献

一种新型的影像学引导和基于解剖学的肛瘘分类系统的验证:一项回顾性临床评估研究。

Validation of a novel imaging-guided and anatomy-based classification system for anorectal fistulas: a retrospective clinical evaluation study.

作者信息

Brillantino Antonio, Iacobellis Francesca, Marano Luigi, Renzi Adolfo, Talento Pasquale, Brusciano Luigi, Gambardella Claudio, Favetta Umberto, Schiano Di Visconte Michele, Monaco Luigi, Grillo Maurizio, Maglio Mauro Natale, Foroni Fabrizio, Palumbo Alessio, Sotelo Maria Laura Sandoval, Vicenzo Luciano, Palladino Elisa, Frezza Giovanna, Menna Maria Paola, Mauro Paolino, Picardi Stefano, Mensorio Mario Massimo, Mosca Vinicio, Bottino Vincenzo, Ioia Giovanna, Rispoli Corrado, Serafino Marco Di, Caruso Martina, Ronza Roberto, Frittoli Barbara, Schettini Daria, Stoppino Luca, Iafrate Franco, Lombardi Giulio, Antropoli Carmine, Cappabianca Salvatore, Docimo Ludovico, Grassi Roberto, Reginelli Alfonso

机构信息

Italian Unitary Society of Colon-Proctology (SIUCP), Reggio Emilia, Italy.

Department of Surgery, "A. Cardarelli" Hospital, Naples, Italy.

出版信息

Ann Coloproctol. 2025 Jun;41(3):207-220. doi: 10.3393/ac.2024.00675.0096. Epub 2025 Jun 16.

Abstract

PURPOSE

This study was conducted to evaluate the validity of a new imaging-guided, anatomy-based classification of anorectal fistulas in defining disease severity and predicting surgical outcomes.

METHODS

This multicenter, retrospective cohort study analyzed data from patients with perianal fistulas who underwent surgery between 2017 and 2023. All patients underwent preoperative 3-dimensional endoanal ultrasound, with adjunctive magnetic resonance imaging performed if ultrasound indicated a complex fistula. Imaging examinations were retrospectively evaluated to categorize fistulas according to the Garg classification and the newly proposed classification system. The new classification included 6 severity grades based on the characteristics of the primary tract: submucosal, intersphincteric, low transsphincteric, high transsphincteric, multiple, and suprasphincteric/extrasphincteric. Each grade was further subdivided into 3 subtypes (A, B, C) based on the extension of secondary tracts.

RESULTS

When compared with the new classification, the Garg classification demonstrated a slightly lower ability to predict the feasibility of fistulotomy in simple fistulas (94.2% vs 99.1%; Fisher exact test, P=0.006). A strong positive correlation was found between the surgery failure rate and the severity grade of the new classification (Spearman rho, 0.90; P<0.001), whereas the Garg classification showed a nonsignificant positive correlation with surgical failure rate (Spearman rho, 0.90; P=0.08).

CONCLUSION

The new imaging-guided, anatomy-based classification of anorectal fistulas demonstrates high accuracy in defining disease severity. It represents a valuable tool for preoperative grading of anal fistulas, standardizing the reporting of diagnostic imaging, and improving the communication of findings among healthcare professionals.

摘要

目的

本研究旨在评估一种新的影像学引导下基于解剖学的肛瘘分类方法在定义疾病严重程度和预测手术结果方面的有效性。

方法

这项多中心回顾性队列研究分析了2017年至2023年间接受手术的肛周瘘患者的数据。所有患者均接受术前三维肛管超声检查,若超声显示为复杂肛瘘,则进行辅助磁共振成像检查。对影像学检查进行回顾性评估,以根据加尔格分类法和新提出的分类系统对肛瘘进行分类。新分类法根据主瘘管的特征包括6个严重程度等级:黏膜下型、括约肌间型、低位经括约肌型、高位经括约肌型、多发型和括约肌上/括约肌外型。每个等级根据分支瘘管的延伸情况进一步细分为3个亚型(A、B、C)。

结果

与新分类法相比,加尔格分类法在预测简单肛瘘切开术的可行性方面能力略低(94.2%对99.1%;Fisher精确检验,P=0.006)。手术失败率与新分类法的严重程度等级之间存在强正相关(Spearman秩相关系数,0.90;P<0.001),而加尔格分类法与手术失败率之间显示出不显著的正相关(Spearman秩相关系数,0.90;P=0.08)。

结论

新的影像学引导下基于解剖学的肛瘘分类法在定义疾病严重程度方面具有很高的准确性。它是肛瘘术前分级、规范诊断性影像学报告以及改善医护人员之间检查结果沟通的有价值工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b1a/12215334/068ecc763441/ac-2024-00675-0096f1.jpg

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