解决肾切除术后腹壁并发症预测工具的需求——利用计算机断层扫描评估一种新型腹壁隆起分级系统。

IF 1 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Acta radiologica open Pub Date : 2025-08-26 eCollection Date: 2025-08-01 DOI:10.1177/20584601251367336
Aapo Inkiläinen, Börje Ljungberg, Lennart Blomqvist, Karin Strigård
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引用次数: 0

摘要

背景:腹部隆起影响高达四分之一的患者后腹部切口,其中一半经历生活质量受损。识别有病态隆起风险的患者可以改善预防性和支持性护理。目的:探讨术后腹部隆起的肌肉变化特征,并设计一种视觉评分系统对术后CT扫描中的隆起进行分级。材料和方法:纳入2005年至2016年在乌梅夫大学医院行经侧腹切开肾部分切除术的患者。前50例连续患者的术前和术后CT扫描用于描述术后腹壁的影像学特征。根据这些特征,设计了一个四层腹胀评分系统。两名独立观察员在接下来的50名患者的CT扫描上测试了该系统。采用Fleiss’Kappa评估量表间信度。结果:提取了腹壁膨出的常见特征,建立了从正常腹壁到严重腹壁膨出的四层视觉评分。在患者中,约70%的患者腹壁正常,约25%的患者腹壁肿胀评分为1分,约7%的患者腹壁肿胀评分为2分,约1%的患者腹壁肿胀评分为3分。评级机构间的一致性为73.5%,Fleiss的Kappa为0.44。结论:腹壁隆起主要表现为肌厚减少和同侧重力塌陷,部分或全部影响腹壁。在这个试点设置中,提出的评分系统显示只有中等的评分者之间的可靠性。在临床护理中实施基于影像学的评估之前,需要进一步研究术后腹壁的变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Addressing the need for predictive tools in postoperative abdominal wall complications after nephrectomy - Evaluation of a novel abdominal bulge grading system using computed tomography.

Addressing the need for predictive tools in postoperative abdominal wall complications after nephrectomy - Evaluation of a novel abdominal bulge grading system using computed tomography.

Addressing the need for predictive tools in postoperative abdominal wall complications after nephrectomy - Evaluation of a novel abdominal bulge grading system using computed tomography.

Addressing the need for predictive tools in postoperative abdominal wall complications after nephrectomy - Evaluation of a novel abdominal bulge grading system using computed tomography.

Background: Abdominal bulging affects up to one-fourth of patients after flank incision, with half experiencing impaired quality of life. Identifying patients at risk for morbid bulge could improve preventive and supportive care.

Purpose: To characterise muscular changes related to postoperative abdominal bulging and design a visual scoring system to grade bulge on postoperative CT scans.

Material and methods: Patients treated with open partial nephrectomy via a flank incision between 2005 and 2016 at the University Hospital of Umeå were included. Pre- and postoperative CT scans of the first 50 consecutive patients were used to characterise imaging features of the postoperative abdominal wall. From these features, a four-tiered scoring system for abdominal bulge was designed. Two independent observers tested the system on CT scans from the 50 next patients. Inter-rater reliability was assessed using Fleiss' Kappa.

Results: Common features of abdominal bulging were extracted and a four-tier visual score ranging from normal abdominal wall to severe bulge was developed. Among the patients, ∼70% had a normal abdominal wall, ∼25% had bulge score 1, ∼7% score 2, and ∼1% score 3. Inter-rater agreement was 73.5%, with Fleiss' Kappa 0.44.

Conclusion: Features of bulge were reduced muscle thickness and ipsilateral gravitational slump affecting part or all of the lateral abdominal wall. The proposed scoring system demonstrated only moderate inter-rater reliability in this pilot setting. Further research on postoperative abdominal wall changes is needed before implementing imaging-based assessments in clinical care.

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