Literature DB >> 28500383

Quantitative assessment of the degree of differentiation in colon cancer with dual-energy spectral CT.

Yang Chuang-Bo1, He Tai-Ping1, Duan Hai-Feng1, Jia Yong-Jun1, Zhang Xi-Rong1, Ma Guang-Ming1, Ren Chenglong1, Wang Jun2, Yu Yong3.   

Abstract

OBJECTIVE: To evaluate dual-energy spectral CT imaging in evaluating the degree of differentiation in colon cancer.
METHODS: Forty-seven colon cancer patients underwent spectral CT during arterial phase (AP) and portal venous phase (PP), and were characterized pathologically differentiated to well-differentiated (A, n = 18) and poorly differentiated or undifferentiated carcinoma group (B, n = 29). Lesion iodine concentration (IC) was measured and normalized to that of aorta (NIC). CT numbers were measured and the slope (λ HU) of the spectral HU curve was calculated. These parameters were statistically compared between the two groups. ROC curves were used to evaluate their diagnostic efficacies.
RESULTS: There were significant differences in IC (1.01 ± 0.20 vs. 1.59 ± 0.57 mg/ml), NIC (0.12 ± 0.03 vs. 0.19 ± 0.09), λ HU (1.41 ± 0.29 vs. 2.03 ± 0.85), and CT number at 70 keV (48.61 ± 9.03HU vs. 63.97 ± 15.86HU) between groups A and B in AP (p < 0.05), but no difference in PP. Using IC = 1.13 mg/ml in AP as the threshold, one obtained a sensitivity of 81.8% and a specificity of 71.4% for differentiating well-differentiated from poorly differentiated or undifferentiated carcinoma. These values were statistically higher than those (64.7% and 62.3%) using CT number at 70 keV.
CONCLUSION: Spectral CT imaging parameters (IC, NIC, and λ HU) in AP provide improved accuracy for evaluating the degrees of differentiation in colon cancer than CT number at 70 keV.

Entities:  

Keywords:  Colon cancer; Dual-energy CT; Tissue differentiation; Tomography; X-ray computed

Mesh:

Substances:

Year:  2017        PMID: 28500383     DOI: 10.1007/s00261-017-1176-6

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  6 in total

1.  A Dual-Energy CT Radiomics of the Regional Largest Short-Axis Lymph Node Can Improve the Prediction of Lymph Node Metastasis in Patients With Rectal Cancer.

Authors:  Dongqing Wang; Zijian Zhuang; Shuting Wu; Jixiang Chen; Xin Fan; Mengsi Liu; Haitao Zhu; Ming Wang; Jinmei Zou; Qun Zhou; Peng Zhou; Jing Xue; Xiangpan Meng; Shenghong Ju; Lirong Zhang
Journal:  Front Oncol       Date:  2022-06-07       Impact factor: 5.738

2.  Preoperative Prediction of the Aggressiveness of Oral Tongue Squamous Cell Carcinoma with Quantitative Parameters from Dual-Energy Computed Tomography.

Authors:  Xieqing Yang; Huijun Hu; Fang Zhang; Dongye Li; Zehong Yang; Guangzi Shi; Guoxiong Lu; Yusong Jiang; Lingjie Yang; Yu Wang; Xiaohui Duan; Jun Shen
Journal:  Front Oncol       Date:  2022-06-23       Impact factor: 5.738

3.  Development of a dual-energy spectral computed tomography-based nomogram for the preoperative discrimination of histological grade in colorectal adenocarcinoma patients.

Authors:  Yuntai Cao; Guojin Zhang; Haihua Bao; Jialiang Ren; Zhan Wang; Jing Zhang; Zhiyong Zhao; Xiaohong Yan; Yanjun Chai; Junlin Zhou
Journal:  J Gastrointest Oncol       Date:  2021-04

4.  Detection of gastric cancer and its histological type based on iodine concentration in spectral CT.

Authors:  Rui Li; Jing Li; Xiaopeng Wang; Pan Liang; Jianbo Gao
Journal:  Cancer Imaging       Date:  2018-11-09       Impact factor: 3.909

5.  Overexpression of microRNA‑101 causes anti‑tumor effects by targeting CREB1 in colon cancer.

Authors:  Qinglin Yang; Weijie Yu; Xiaoli Han
Journal:  Mol Med Rep       Date:  2019-02-14       Impact factor: 2.952

6.  Dual-layer spectral detector computed tomography parameters can improve diagnostic efficiency of lung adenocarcinoma grading.

Authors:  Ronghua Mu; Zhuoni Meng; Zixuan Guo; Xiaoyan Qin; Guangyi Huang; Xuri Yang; Hui Jin; Peng Yang; Xiaodi Zhang; Xiqi Zhu
Journal:  Quant Imaging Med Surg       Date:  2022-09
  6 in total

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