Yu Ming-Ming, Shi Dan, Li Qi, Li Jian-Bin, Li Qiang, Yu Ri-Sheng
Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, No. 88 Jiefang Road, Shangcheng District, Hangzhou, 310009, China.
Department of Radiology, The Affiliated People's Hospital of Ningbo University, No. 251 Baizhang Road, Yinzhou District, Ningbo, China.
Jpn J Radiol. 2023 Jan;41(1):83-91. doi: 10.1007/s11604-022-01326-6. Epub 2022 Aug 17.
To investigate the differences in clinicopathological and imaging features according to KRAS mutation status in left- and right-sided colorectal cancer.
A total of 157 patients with pathologically proven colorectal cancer and preoperative contrast-enhanced multidetector CT examinations were enrolled. According to the tumor location and KRAS status, they were divided into two groups: the left-sided colorectal cancer (LCC) group (wild type, mutant type) and the right-sided colorectal cancer (RCC) group (wild type, mutant type). Clinicopathological and imaging features were recorded in each group. The imaging observation indicators included short axis diameter (SAD), longitudinal tumor length (LTL), tumor shape, pericolic fat stranding, bowel stenosis, intratumoral low-density range, enhancement pattern, and bowel obstruction. Univariate and multivariate logistic regression analyses were performed to compare the difference in KRAS mutation status between groups.
In the LCC group, SAD, tumor shape, degree of pericolic fat stranding, and bowel obstruction were significant indicators for predicting KRAS status (P < 0.05). In the RCC group, CA19-9, SAD, and intratumoral low-density range were significant indicators for predicting KRAS status (P < 0.05.). The area under the curve (AUC) of the combination image indicators in the LCC group was 0.802 [cutoff point 0.372, 95% confidence interval (CI) 0.718-0.888, sensitivity 85.4%, specificity 72.0%]. The AUC in the RCC group was 0.828 (cutoff point 0.647, 95% CI 0.726-0.931, sensitivity 79.5%, specificity 75.0%).
The CT imaging features associated with KRAS mutation status in the LCC and RCC groups were different. The combination of tumor location and imaging features can help to further improve the predictive value of KRAS status.
探讨左、右侧结直肠癌KRAS突变状态在临床病理及影像特征上的差异。
纳入157例经病理证实的结直肠癌患者,并进行术前多排螺旋CT增强检查。根据肿瘤位置和KRAS状态,将患者分为两组:左侧结直肠癌(LCC)组(野生型、突变型)和右侧结直肠癌(RCC)组(野生型、突变型)。记录每组的临床病理及影像特征。影像观察指标包括短轴直径(SAD)、肿瘤纵向长度(LTL)、肿瘤形态、结肠周围脂肪条索、肠管狭窄、肿瘤内低密度范围、强化方式及肠梗阻。进行单因素和多因素逻辑回归分析,比较各组间KRAS突变状态的差异。
在LCC组中,SAD、肿瘤形态、结肠周围脂肪条索程度及肠梗阻是预测KRAS状态的显著指标(P<0.05)。在RCC组中,CA19-9、SAD及肿瘤内低密度范围是预测KRAS状态的显著指标(P<0.05)。LCC组联合影像指标的曲线下面积(AUC)为0.802[截断点0.372,95%置信区间(CI)0.718-0.888,敏感度85.4%,特异度72.0%]。RCC组的AUC为0.828(截断点0.647,95%CI 0.726-0.931,敏感度79.5%,特异度75.0%)。
LCC组和RCC组与KRAS突变状态相关的CT影像特征不同。肿瘤位置与影像特征相结合有助于进一步提高KRAS状态的预测价值。