Department of Radiation Oncology, the Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, the Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Br J Cancer. 2022 Jul;127(2):268-277. doi: 10.1038/s41416-022-01801-x. Epub 2022 Apr 6.
The potential of using magnetic resonance image tumour-regression grading (MRI-TRG) system to predict pathological TRG is debatable for locally advanced rectal cancer treated by neoadjuvant radiochemotherapy.
Referring to the American Joint Committee on Cancer/College of American Pathologists (AJCC/CAP) TRG classification scheme, a new four-category MRI-TRG system based on the volumetric analysis of the residual tumour and radiochemotherapy induced anorectal fibrosis was established. The agreement between them was evaluated by Kendall's tau-b test, while Kaplan-Meier analysis was used to calculate survival outcomes.
In total, 1033 patients were included. Good agreement between MRI-TRG and AJCC/CAP TRG classifications was observed (k = 0.671). Particularly, as compared with other pairs, MRI-TRG 0 displayed the highest sensitivity [90.1% (95% CI: 84.3-93.9)] and specificity [92.8% (95% CI: 90.4-94.7)] in identifying AJCC/CAP TRG 0 category patients. Except for the survival ratios that were comparable between the MRI-TRG 0 and MRI-TRG 1 categories, any two of the four categories had distinguished 3-year prognosis (all P < 0.05). Cox regression analysis further proved that the MRI-TRG system was an independent prognostic factor (all P < 0.05).
The new MRI-TRG system might be a surrogate for AJCC/CAP TRG classification scheme. Importantly, the system is a reliable and non-invasive way to identify patients with complete pathological responses.
新辅助放化疗治疗局部晚期直肠癌后,磁共振成像肿瘤退缩分级(MRI-TRG)系统预测病理 TRG 的潜力存在争议。
参照美国癌症联合委员会/美国病理学家协会(AJCC/CAP)TRG 分类方案,建立了一种新的基于肿瘤残留体积分析和新辅助放化疗引起的直肠肛门纤维化的四分类 MRI-TRG 系统。采用 Kendall's tau-b 检验评估两者之间的一致性,Kaplan-Meier 分析用于计算生存结果。
共纳入 1033 例患者。MRI-TRG 与 AJCC/CAP TRG 分类之间存在良好的一致性(k=0.671)。特别是与其他配对相比,MRI-TRG 0 组在识别 AJCC/CAP TRG 0 组患者时具有最高的灵敏度[90.1%(95%CI:84.3-93.9)]和特异性[92.8%(95%CI:90.4-94.7)]。除 MRI-TRG 0 与 MRI-TRG 1 组之间的生存比例相当外,四组中的任意两组之间均具有显著不同的 3 年预后(均 P<0.05)。Cox 回归分析进一步证明 MRI-TRG 系统是一个独立的预后因素(均 P<0.05)。
新的 MRI-TRG 系统可能是 AJCC/CAP TRG 分类方案的替代方法。重要的是,该系统是一种可靠且无创的方法,可以识别完全病理缓解的患者。