Literature DB >> 30995087

Preoperative Diagnosis of Regional Lymph Node Metastasis of Colorectal Cancer With Quantitative Parameters From Dual-Energy CT.

Zehong Yang1,2, Xiang Zhang1,2, Mengjie Fang3,4, Guolin Li2,5, Xiaohui Duan1,2, Jiaji Mao1,2, Jun Shen1,2.   

Abstract

OBJECTIVE. The purpose of this study was to investigate the performance of quantitative parameters derived from dual-energy CT (DECT) in the preoperative diagnosis of regional metastatic lymph nodes (LNs) in patients with colorectal cancer. SUBJECTS AND METHODS. Triphasic contrast-enhanced DECT was performed for 178 patients with colon or high rectal cancer. The morphologic criteria, short-axis diameter, and quantitative DECT parameters of the largest regional LN were measured and compared between pathologically metastatic and nonmetastatic LNs. Univariate and multivariable logistic regression analyses were used to determine the independent DECT parameters for predicting LN metastasis. Diagnostic performance measures were assessed by ROC curve analysis and compared by McNemar test. RESULTS. A total of 178 largest LNs (72 metastatic, 106 nonmetastatic) were identified in 178 patients. The best single DECT parameter for differentiation between metastatic and nonmetastatic LNs was normalized effective atomic number (Zeff) in the portal venous phase (AUC, 0.871; accuracy, 84.8%). These values were higher than those of morphologic criteria (AUC, 0.505-0.624; accuracy, 47.8-62.4%) and short-axis diameter (AUC, 0.647; accuracy, 66.3%) (p < 0.05). The diagnostic accuracy of combined normalized iodine concentration in the arterial phase and normalized effective atomic number in the portal venous phase was further improved to 87.1% (AUC, 0.916). CONCLUSION. Quantitative parameters derived from DECT can be used to improve preoperative diagnostic accuracy in evaluation for regional metastatic LNs in patients with colorectal cancer.

Entities:  

Keywords:  MDCT; colorectal neoplasm; diagnostic imaging; lymphadenopathy

Year:  2019        PMID: 30995087     DOI: 10.2214/AJR.18.20843

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  7 in total

Review 1.  Overview of serum and tissue markers in colorectal cancer: a primer for radiologists.

Authors:  Apurva Bonde; Daniel A Smith; Elias Kikano; Jennifer M Yoest; Sree H Tirumani; Nikhil H Ramaiya
Journal:  Abdom Radiol (NY)       Date:  2021-08-20

2.  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

Review 3.  Improving radiation physics, tumor visualisation, and treatment quantification in radiotherapy with spectral or dual-energy CT.

Authors:  Matthijs Ferdinand Kruis
Journal:  J Appl Clin Med Phys       Date:  2021-11-07       Impact factor: 2.102

4.  Detection of left atrial appendage thrombus by dual-energy computed tomography-derived imaging biomarkers in patients with atrial fibrillation.

Authors:  Wenhuan Li; Mingxi Liu; Fangfang Yu; Weiwei Zhu; Xianbo Yu; Xiaojuan Guo; Qi Yang
Journal:  Front Cardiovasc Med       Date:  2022-07-22

5.  A study of radiomics parameters from dual-energy computed tomography images for lymph node metastasis evaluation in colorectal mucinous adenocarcinoma.

Authors:  Yingying Liu; Yafang Dou; Fang Lu; Lei Liu
Journal:  Medicine (Baltimore)       Date:  2020-03       Impact factor: 1.817

6.  The Role of Dual-Energy Computed Tomography in Locating Gastrointestinal Tract Perforations.

Authors:  Serap Baş; Elbrus Zarbaliyev
Journal:  Cureus       Date:  2021-05-27

7.  Detecting lymph node metastasis of esophageal cancer on dual-energy computed tomography.

Authors:  Xuyang Sun; Tetsu Niwa; Soji Ozawa; Jun Endo; Jun Hashimoto
Journal:  Acta Radiol       Date:  2020-12-16       Impact factor: 1.701

  7 in total

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