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Chinese Archives of General Surgery(Electronic Edition) ›› 2020, Vol. 14 ›› Issue (02): 98-102. doi: 10.3877/cma.j.issn.1674-0793.2020.02.005

Special Issue:

• Original Article • Previous Articles     Next Articles

Preoperative CT features for noninvasive prediction of KRAS gene mutations in rectal cancer

Zhenzhen Fan1, Yanhong Yang2, Meng Wang2, Huasong Cai2,()   

  1. 1. CT Room of Luoyang Central Hospital Affiliated to Zhengzhou University, Luoyang 471000, China
    2. Department of Radiology, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
  • Received:2019-05-18 Online:2020-04-01 Published:2020-04-01
  • Contact: Huasong Cai
  • About author:
    Corresponding author: Cai Huasong, Email:

Abstract:

Objective

To explore the feasibility of predicting KRAS gene mutation in rectal cancer by preoperative multi-slice spiral CT (MSCT).

Methods

From October 2016 to December 2017, clinical data of fifty-two patients with rectal cancer in the First Affiliated Hospital of Sun Yat-sen University were analyzed, including the preoperative imaging parameters, pathological data and KRAS gene detection results. Binary Logistic regression models were established to speculate the possibility of predicting KRAS gene mutation by CT parameters, and the diagnostic effect and critical point were analyzed by receiver operating characteristic curve (ROC).

Results

Among the 52 cases, 18 cases (34.6%) had KRAS gene mutation and were prone to lymph node metastasis (67.6% vs 32.4%, χ2=7.53, P=0.010). The diameter of superior rectal vein (SRV) was (5.07±1.00) mm in mutation patients, which was significantly larger than that in non-mutation patients (4.23±1.02) mm, the difference was statistically significant (t=2.84, P=0.010). Logistic regression model showed that the probability of gene mutation in patients with lymph node metastasis was 5.69 times higher than that in patients without lymph node metastasis (95% CI: 1.34-24.14). For every 1 mm increase in SRV, the probability of gene mutation increased by 2.56 times (95% CI: 1.14-5.73). The best threshold of SRV was 4.5 mm. Combined with imaging lymph node metastasis, the sensitivity, specificity and accuracy of MSCT in predicting KRAS mutation were 72.22% (13/18), 85.29% (29/34) and 80.77% (42/52), respectively.

Conclusions

KRAS mutations in rectal cancer can be predicted noninvasively using MSCT to measure SRV diameter in the axial venous phase. Combined with the presence or absence of lymph node metastasis, the diagnostic efficacy can be improved.

Key words: Rectal neoplasms, Tomography, spiral computed, DNA mutational analysis, KARS genes, Superior rectal vein

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