University of South Florida Morsani College of Medicine, 560 Channelside Dr, Tampa, FL, 33602, USA.
Department of Surgery, University of South Florida Morsani College of Medicine, Tampa, FL, USA.
Surg Endosc. 2023 May;37(5):3364-3379. doi: 10.1007/s00464-022-09842-2. Epub 2023 Jan 3.
Hernias can present with unique challenges when it comes to management and repair. Prediction models can be a useful tool for clinicians to better anticipate and understand the severity of a hernia, the type of surgical technique, or presurgical planning that may be required to treat the patient, and the risk of complications. Our goal is to evaluate and consolidate prediction models in hernia repair present in the literature for which physicians can reference to best improve patient outcomes and postoperative management.
We performed a literature search in PubMed using keywords, "rectus width to defect width ratio," "predicting myofascial release," "computed tomography hernia repair prediction," "component separation radiology prediction hernia," "fat volume and hernia repair," "body morphometrics and Query hernia repair," "body morphometrics and reherniation," "computed tomography findings and risk of emergency hernia repair," "loss of domain and hernia radiology," and "volumetry and hernia repair." We searched for publications that used radiographic parameters to predict hernia severity, interventions, and outcomes.
Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), we found twenty-three studies related to prediction models in hernia repair published between 2000 and 2021. We summarized studies pertaining to predicting acute care, predicting operative planning with loss of domain and component separation, predicting complications, paraesophageal hernia predictions, and predicting postoperative respiratory complications.
Radiographic prediction models can be an objective and efficient way for surgeons to analyze hernias and better understand a patient's situation so that they can inform patients about the best treatment options and the risk of complications.
在管理和修复方面，疝可能会带来独特的挑战。预测模型可以成为临床医生的有用工具，以更好地预测和理解疝的严重程度、所需的手术技术类型或术前计划，以及并发症的风险。我们的目标是评估和整合疝修复领域中现有的预测模型，以便医生可以参考这些模型来改善患者的预后和术后管理。
我们在 PubMed 中使用关键词“直肌宽度与缺损宽度比”、“预测筋膜切开术”、“计算机断层扫描疝修复预测”、“分离放射学预测疝修补术”、“脂肪体积与疝修补术”、“身体形态学与疝修补术”、“身体形态学与疝复发”、“计算机断层扫描结果与急诊疝修复风险”、“域丢失与疝放射学”和“容积测量与疝修补术”进行了文献检索，以寻找使用放射学参数预测疝严重程度、干预措施和结果的出版物。
使用系统评价和荟萃分析的首选报告项目（PRISMA），我们发现了 2000 年至 2021 年期间发表的 23 篇与疝修复预测模型相关的研究。我们总结了与预测急性护理、预测与域丢失和分离相关的手术计划、预测并发症、食管裂孔疝预测以及预测术后呼吸并发症有关的研究。
放射学预测模型可以成为外科医生分析疝并更好地了解患者情况的一种客观有效的方法，以便他们可以告知患者最佳治疗选择和并发症风险。
