Literature DB >> 28583651

Dual-energy CT can detect malignant lymph nodes in rectal cancer.

I Al-Najami1, M J Lahaye2, R G H Beets-Tan3, G Baatrup4.   

Abstract

BACKGROUND: There is a need for an accurate and operator independent method to assess the lymph node status to provide the most optimal personalized treatment for rectal cancer patients. This study evaluates whether Dual Energy Computed Tomography (DECT) could contribute to the preoperative lymph node assessment, and compared it to Magnetic Resonance Imaging (MRI). The objective of this prospective observational feasibility study was to determine the clinical value of the DECT for the detection of metastases in the pelvic lymph nodes of rectal cancer patients and compare the findings to MRI and histopathology.
MATERIALS AND METHODS: The patients were referred to total mesorectal excision (TME) without any neoadjuvant oncological treatment. After surgery the rectum specimen was scanned, and lymph nodes were matched to the pathology report. Fifty-four histology proven rectal cancer patients received a pelvic DECT scan and a standard MRI. The Dual Energy CT quantitative parameters were analyzed: Water and Iodine concentration, Dual-Energy Ratio, Dual Energy Index, and Effective Z value, for the benign and malignant lymph node differentiation.
RESULTS: DECT scanning showed statistical difference between malignant and benign lymph nodes in the measurements of iodine concentration, Dual-Energy Ratio, Dual Energy Index, and Effective Z value. Dual energy CT classified 42% of the cases correctly according to N-stage compared to 40% for MRI.
CONCLUSION: This study showed statistical difference in several quantitative parameters between benign and malignant lymph nodes. There were no difference in the accuracy of lymph node staging between DECT and MRI.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Dual-Energy; Effective- Z value; Lymph nodes; MRI; Rectal cancer

Mesh:

Year:  2017        PMID: 28583651     DOI: 10.1016/j.ejrad.2017.02.005

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  8 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

Review 2.  Recent Advancements in CT and MR Imaging of Prostate Cancer.

Authors:  Asha Daryanani; Baris Turkbey
Journal:  Semin Nucl Med       Date:  2021-12-18       Impact factor: 4.802

Review 3.  Lymph Nodes Evaluation in Rectal Cancer: Where Do We Stand and Future Perspective.

Authors:  Alessandra Borgheresi; Federica De Muzio; Andrea Agostini; Letizia Ottaviani; Alessandra Bruno; Vincenza Granata; Roberta Fusco; Ginevra Danti; Federica Flammia; Roberta Grassi; Francesca Grassi; Federico Bruno; Pierpaolo Palumbo; Antonio Barile; Vittorio Miele; Andrea Giovagnoni
Journal:  J Clin Med       Date:  2022-05-05       Impact factor: 4.964

4.  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

5.  Development of a Nomogram Combining Clinical Risk Factors and Dual-Energy Spectral CT Parameters for the Preoperative Prediction of Lymph Node Metastasis in Patients With Colorectal Cancer.

Authors:  Yuntai Cao; Jing Zhang; Haihua Bao; Guojin Zhang; Xiaohong Yan; Zhan Wang; Jialiang Ren; Yanjun Chai; Zhiyong Zhao; Junlin Zhou
Journal:  Front Oncol       Date:  2021-09-22       Impact factor: 6.244

Review 6.  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

7.  A prospective study of dual-energy computed tomography for differentiating metastatic and non-metastatic lymph nodes of colorectal cancer.

Authors:  Lin Qiu; Junjiao Hu; Zeping Weng; Sirun Liu; Guangyu Jiang; Xiangran Cai
Journal:  Quant Imaging Med Surg       Date:  2021-08

8.  Iodine Quantification Using Dual-Energy Computed Tomography for Differentiating Thymic Tumors.

Authors:  Wei-Qiang Yan; Yong-Kang Xin; Yong Jing; Gang-Feng Li; Shu-Mei Wang; Wei-Cheng Rong; Gang Xiao; Xue-Bin Lei; Bo Li; Yu-Chuan Hu; Guang-Bin Cui
Journal:  J Comput Assist Tomogr       Date:  2018 Nov/Dec       Impact factor: 1.826

  8 in total

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