Value of 3Tesla MRI in the preoperative staging of mid-low rectal cancer and its impact on clinical strategies.
Value of 3Tesla MRI in the preoperative staging of mid-low rectal cancer and its impact on clinical strategies.
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3Tesla MRI在中低位直肠癌术前分期中的价值及其对临床策略的影响
DOI：
10.1111/ajco.13368
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发表时间：
2020-10
影响因子：
1.9
通讯作者：
Sun X
中科院分区：
文献类型：
--
作者：
Xu L;Zhang C;Zhang Z;Qin Q;Sun X
目的探讨磁共振成像(MRI)对中低位直肠癌患者术前T/N分期的诊断准确性及其对临床决策的影响。在这项回顾性研究中，从2015年10月至2017年3月共招募211名患者。术前2周内行高分辨率MRI检查。评价术后T/N分期的组织病理学结果，并根据术后组织病理学结果评价MRI诊断的准确性。评价T/N分期的准确性、敏感度、特异度、阳性预测值和阴性预测值，并以κ值与术后病理分期的一致性进行评价。MRI对T1-4分期的诊断准确率为79.62%，对N0-2分期的诊断准确率为54.50%。T1-4和N0-2分期的κ分别为0.619和0.255。MRI对治疗决策的诊断准确率为80.57%。MRI可以对直肠癌的T分期进行高度准确的术前评估，但只能相当准确地对直肠癌的N分期进行评估。MRI对治疗决策的诊断准确性是有希望的，但还需要更多的研究来在来自多个中心的更大样本量中验证这些发现。
To determine the diagnostic accuracy of preoperative T/N stage with magnetic resonance imaging (MRI) in lower and middle rectal cancer patients and the impacts on clinical decision‐making. A total of 211 patients were recruited from October 2015 to March 2017 in this retrospective study. High‐resolution MRI was performed within 2 weeks before surgery. Histopathologic results were evaluated for the postoperative T/N stage and the diagnostic accuracy of MRI was assessed according to the postoperative histopathologic results. The accuracy, sensitivity, specificity, positive predictive value and negative predictive value were evaluated for T/N staging and κ values were used to evaluate MRI consistent analysis compared with postoperative histopathologic staging. The overall MRI diagnostic accuracy was 79.62% for T1‐4 staging and 54.50% for N0‐2 staging. The κ values were 0.619 and 0.255 for T1‐4 and N0‐2 staging, respectively. The diagnostic accuracy of MRI for treatment decision‐making was 80.57%. MRI allows a highly accurate preoperative assessment of T stage but only a fairly accurate preoperative assessment of N stage for rectal cancer. The diagnostic accuracy of MRI for treatment decision‐making is promising, but additional studies are needed to validate these findings in a larger sample size from multiple centers.
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影响因子：
168.9
作者：
Beets-Tan, RGH;Beets, GL;van Engelshoven, JMA
通讯作者：
van Engelshoven, JMA
影响因子：
3.2
作者：
Suzuki, Chikako;Torkzad, Michael R.;Blomqvist, Lennart
通讯作者：
Blomqvist, Lennart
影响因子：
4.3
作者：
Rao, Sheng-Xiang;Zeng, Meng-Su;Hou, Ying-Yong
通讯作者：
Hou, Ying-Yong
影响因子：
5
作者：
Chun, Ho-Kyung;Choi, Dongil;Kim, Chan Kyo
通讯作者：
Kim, Chan Kyo
影响因子：
2.3
作者：
Rovera, F.;Dionigi, G.;Dionigi, R.
通讯作者：
Dionigi, R.