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
Italian Unitary Society of Colon-Proctology (SIUCP), Reggio Emilia, Italy.
Department of Surgery, "A. Cardarelli" Hospital, Naples, Italy.
Ann Coloproctol. 2025 Jun;41(3):207-220. doi: 10.3393/ac.2024.00675.0096. Epub 2025 Jun 16.
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.
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.
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).
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.
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。
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)。
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)。
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。