Jason Rai, Dinh V C Mai, Ioanna Drami, Edward T Pring, Laura E Gould, Phillip F C Lung, Thomas Glover, Joshua D Shur, Brandon Whitcher, Thanos Athanasiou, John T Jenkins
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The Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) and Radiomics Quality Score (RQS) tools were used to assess quality of included study. The research protocol was registered in PROSPERO (CRD42024512865). We calculated pooled area under the receiver operating characteristic curve (AUC) using a random-effects model. To compare AUC between subgroups the Hanley & McNeil test was performed.</p><p><strong>Results: </strong>Forty-four eligible studies (12,714 patients) were identified for inclusion in the systematic review. We selected thirty-five studies including 10,543 patients for meta-analysis. The pooled AUC for MRI radiomics predicted pCR in LARC was 0.87 (95% CI 0.84-0.89). In the subgroup analysis 3 T MRI field intensity had higher pooled AUC 0.9 (95% CI 0.87-0.94) than 1.5 T pooled AUC 0.82 (95% CI 0.80-0.83) p < 0.001. Asian ethnicity had higher pooled AUC 0.9 (95% CI 0.87-0.93) than non-Asian pooled AUC 0.8 (95% CI 0.75-0.84) p < 0.001.</p><p><strong>Conclusion: </strong>We have demonstrated that 3 T MRI field intensity provides a superior predictive performance. The role of ethnicity on radiomics features needs to be explored in future studies. Further research in the field of MRI radiomics is important as accurate prediction for pCR can lead to organ preservation strategy in LARC.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"MRI radiomics prediction modelling for pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a systematic review and meta-analysis.\",\"authors\":\"Jason Rai, Dinh V C Mai, Ioanna Drami, Edward T Pring, Laura E Gould, Phillip F C Lung, Thomas Glover, Joshua D Shur, Brandon Whitcher, Thanos Athanasiou, John T Jenkins\",\"doi\":\"10.1007/s00261-025-04953-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>Predicting response to neoadjuvant therapy in locally advanced rectal cancer (LARC) is challenging. 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引用次数: 0
摘要
目的:预测局部晚期直肠癌(LARC)对新辅助治疗的反应具有挑战性。为临床反应完全的患者提供器官保存策略。我们的目的是评估mri衍生的放射组学模型在预测完全病理反应(pCR)方面的作用。方法:检索MEDLINE、Embase、Cochrane中央对照试验注册库(Central)和Cochrane系统评价数据库(CDSR),检索2024年2月1日前发表的研究。使用诊断准确性研究质量评估2 (QUADAS-2)和放射组学质量评分(RQS)工具评估纳入研究的质量。研究方案已在PROSPERO注册(CRD42024512865)。我们使用随机效应模型计算了受者工作特征曲线(AUC)下的合池面积。为了比较各组间的AUC,采用Hanley & McNeil检验。结果:44项符合条件的研究(12,714例患者)被纳入系统评价。我们选择了35项研究,包括10,543例患者进行meta分析。MRI放射组学预测LARC pCR的合并AUC为0.87 (95% CI 0.84-0.89)。在亚组分析中,3t MRI场强度的合并AUC为0.9 (95% CI 0.87-0.94),高于1.5 T合并AUC 0.82 (95% CI 0.80-0.83)。结论:我们已经证明3t MRI场强度提供了优越的预测性能。种族对放射组学特征的作用需要在未来的研究中探索。MRI放射组学领域的进一步研究是重要的,因为准确预测pCR可以指导LARC的器官保存策略。
MRI radiomics prediction modelling for pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a systematic review and meta-analysis.
Purpose: Predicting response to neoadjuvant therapy in locally advanced rectal cancer (LARC) is challenging. Organ preservation strategies can be offered to patients with complete clinical response. We aim to evaluate MRI-derived radiomics models in predicting complete pathological response (pCR).
Methods: Search included MEDLINE, Embase and Cochrane Central Register of Controlled Trials (CENTRAL) and Cochrane Database of Systematic Reviews (CDSR) for studies published before 1st February 2024. The Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) and Radiomics Quality Score (RQS) tools were used to assess quality of included study. The research protocol was registered in PROSPERO (CRD42024512865). We calculated pooled area under the receiver operating characteristic curve (AUC) using a random-effects model. To compare AUC between subgroups the Hanley & McNeil test was performed.
Results: Forty-four eligible studies (12,714 patients) were identified for inclusion in the systematic review. We selected thirty-five studies including 10,543 patients for meta-analysis. The pooled AUC for MRI radiomics predicted pCR in LARC was 0.87 (95% CI 0.84-0.89). In the subgroup analysis 3 T MRI field intensity had higher pooled AUC 0.9 (95% CI 0.87-0.94) than 1.5 T pooled AUC 0.82 (95% CI 0.80-0.83) p < 0.001. Asian ethnicity had higher pooled AUC 0.9 (95% CI 0.87-0.93) than non-Asian pooled AUC 0.8 (95% CI 0.75-0.84) p < 0.001.
Conclusion: We have demonstrated that 3 T MRI field intensity provides a superior predictive performance. The role of ethnicity on radiomics features needs to be explored in future studies. Further research in the field of MRI radiomics is important as accurate prediction for pCR can lead to organ preservation strategy in LARC.
期刊介绍:
Abdominal Radiology seeks to meet the professional needs of the abdominal radiologist by publishing clinically pertinent original, review and practice related articles on the gastrointestinal and genitourinary tracts and abdominal interventional and radiologic procedures. Case reports are generally not accepted unless they are the first report of a new disease or condition, or part of a special solicited section.
Reasons to Publish Your Article in Abdominal Radiology:
· Official journal of the Society of Abdominal Radiology (SAR)
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European Society of Gastrointestinal and Abdominal Radiology (ESGAR)
European Society of Urogenital Radiology (ESUR)
Asian Society of Abdominal Radiology (ASAR)
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