Pedram Fadavi, Kambiz Novin, Maryam Garousi, Amir Mohammad Arefpour, Seyedeh Shaghayegh Rezvani Nezhad, Mahshid Soori, Farzad Taghizadeh-Hesary
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Tumor regression grade (TRG) based on histopathology ranged from TRG0 to TRG3, while MR-based responses encompassed complete response, partial response, stable disease, and progressive disease. The primary endpoints were the correlation and agreement between post-nCRT histopathologic- and MR-based tumor staging. The secondary endpoints focused on predictive factors influencing the response to nCRT and assessing the effectiveness of MRI in identifying complete pathologic response (pCR).</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The analysis showed a strong positive correlation (<i>r</i> = 0.86, <i>p</i> < 0.001) with moderate agreement (κ = 0.44) between post-nCRT MR- and histopathologic-based disease staging. According to multivariate analysis, initial tumor stage could predict clinical response to nCRT, and MR-based TRG could predict histopathologic response. MRI exhibited a specificity of 96.2%, sensitivity of 22.2%, positive predictive value of 50%, and negative predictive value of 88.1% in detecting pCR.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>The study highlights the promising role of MRI in assessing treatment response in LARC, guiding clinical decision-making and potentially reducing the need for invasive procedures to evaluate treatment effectiveness.</p>\n </section>\n </div>","PeriodicalId":9440,"journal":{"name":"Cancer reports","volume":"8 9","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cnr2.70322","citationCount":"0","resultStr":"{\"title\":\"Correlation Between MRI and Histopathology in Assessing Treatment Response to Neoadjuvant Chemoradiation in Locally Advanced Rectal Cancer\",\"authors\":\"Pedram Fadavi, Kambiz Novin, Maryam Garousi, Amir Mohammad Arefpour, Seyedeh Shaghayegh Rezvani Nezhad, Mahshid Soori, Farzad Taghizadeh-Hesary\",\"doi\":\"10.1002/cnr2.70322\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background and Aims</h3>\\n \\n <p>Recognizing the predictive factors of response to chemoradiation is of utmost importance in patients with locally advanced rectal cancer (LARC). 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引用次数: 0
摘要
背景与目的认识局部晚期直肠癌(LARC)患者放化疗反应的预测因素至关重要。本研究旨在探讨LARC术后新辅助放化疗(nCRT)病理与mr肿瘤分期的相关性。方法非转移性LARC患者在治疗前后行盆腔造影增强MRI,接受标准放化疗,并评估肿瘤反应。基于组织病理学的肿瘤消退等级(TRG)从TRG0到TRG3不等,而基于mr的反应包括完全缓解、部分缓解、疾病稳定和疾病进展。主要终点是ncrt后组织病理学和磁共振肿瘤分期之间的相关性和一致性。次要终点集中在影响nCRT反应的预测因素和评估MRI在识别完全病理反应(pCR)方面的有效性。结果分析显示,ncrt后MR与基于组织病理学的疾病分期呈正相关(r = 0.86, p < 0.001),且有一定程度的一致性(κ = 0.44)。多因素分析显示,肿瘤初始分期可以预测nCRT的临床反应,基于mr的TRG可以预测组织病理反应。MRI检测pCR特异性为96.2%,敏感性为22.2%,阳性预测值为50%,阴性预测值为88.1%。结论本研究强调了MRI在评估LARC治疗反应、指导临床决策以及潜在地减少对侵入性手术评估治疗效果的需要方面的重要作用。
Correlation Between MRI and Histopathology in Assessing Treatment Response to Neoadjuvant Chemoradiation in Locally Advanced Rectal Cancer
Background and Aims
Recognizing the predictive factors of response to chemoradiation is of utmost importance in patients with locally advanced rectal cancer (LARC). The study is designed to explore the correlation between post-neoadjuvant chemoradiation (nCRT) pathologic and MR-based tumor staging in LARC.
Methods
Patients with non-metastatic LARC underwent contrast-enhanced pelvic MRI before and after treatment, received standard chemoradiation, and were evaluated for tumor response. Tumor regression grade (TRG) based on histopathology ranged from TRG0 to TRG3, while MR-based responses encompassed complete response, partial response, stable disease, and progressive disease. The primary endpoints were the correlation and agreement between post-nCRT histopathologic- and MR-based tumor staging. The secondary endpoints focused on predictive factors influencing the response to nCRT and assessing the effectiveness of MRI in identifying complete pathologic response (pCR).
Results
The analysis showed a strong positive correlation (r = 0.86, p < 0.001) with moderate agreement (κ = 0.44) between post-nCRT MR- and histopathologic-based disease staging. According to multivariate analysis, initial tumor stage could predict clinical response to nCRT, and MR-based TRG could predict histopathologic response. MRI exhibited a specificity of 96.2%, sensitivity of 22.2%, positive predictive value of 50%, and negative predictive value of 88.1% in detecting pCR.
Conclusions
The study highlights the promising role of MRI in assessing treatment response in LARC, guiding clinical decision-making and potentially reducing the need for invasive procedures to evaluate treatment effectiveness.