Literature DB >> 28978865

Economic Benefits and Diagnostic Quality of Diffusion-Weighted Magnetic Resonance Imaging for Primary Lung Cancer.

Katsuo Usuda1, Aika Funazaki1, Ryo Maeda1, Atsushi Sekimura1, Nozomu Motono1, Munetaka Matoba2, Hidetaka Uramoto1.   

Abstract

This paper focuses on the latest research of diffusion-weighted magnetic resonance imaging (DWI), and deals with economic benefits, diagnostic benefits, and prospects of DWI for lung cancer. The medical cost of a magnetic resonance imaging (MRI) is 81%-84% cheaper than that of 18-fluoro-2-deoxy-glucose positron emission tomography/computed tomography (FDG-PET/CT). DWI is reported to be useful for differential diagnosis of malignancy or benignity for neoplasm in various organs. Diagnostic efficacy by DWI for pulmonary nodules and masses and the evaluation of N factor and M factor in lung cancer are equivalent to or more than that of FDG-PET/CT. The diagnostic capability of whole-body DWI (WB-DWI) for the staging of clinically operable lung cancers is equivalent to that of FDG-PET/CT and brain MRI, and WB-DWI is now becoming a more main stream procedure. Although the diagnostic performance of DWI for lung cancer may be equivalent to that of FDG-PET/CT, prospective randomized controlled trial for comparison of diagnostic efficacy between FDG-PET/CT and DWI for lung cancer is necessary for an accurate comparison. DWI may have an advantage in the aspect of the cost and diagnostic efficacy in lung cancer management.

Entities:  

Keywords:  18-fluoro-2-deoxy-glucose positron emission tomography/computed tomography; diffusion-weighted magnetic resonance imaging; lung cancer; magnetic resonance imaging; pulmonary nodule and mass

Mesh:

Year:  2017        PMID: 28978865      PMCID: PMC5738447          DOI: 10.5761/atcs.ra.17-00097

Source DB:  PubMed          Journal:  Ann Thorac Cardiovasc Surg        ISSN: 1341-1098            Impact factor:   1.520


  36 in total

1.  Apparent diffusion coefficient values of diffusion-weighted imaging for distinguishing focal pulmonary lesions and characterizing the subtype of lung cancer: a meta-analysis.

Authors:  Guohua Shen; Zhiyun Jia; Houfu Deng
Journal:  Eur Radiol       Date:  2015-05-24       Impact factor: 5.315

2.  Occult nodal metastasis in patients with non-small cell lung cancer at clinical stage IA by PET/CT.

Authors:  Hye Kyeong Park; Kyeongman Jeon; Won-Jung Koh; Gee Young Suh; Hojoong Kim; O Jung Kwon; Man Pyo Chung; Kyung Soo Lee; Young Mog Shim; Joungho Han; Sang-Won Um
Journal:  Respirology       Date:  2010-11       Impact factor: 6.424

3.  Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging.

Authors:  D Le Bihan; E Breton; D Lallemand; M L Aubin; J Vignaud; M Laval-Jeantet
Journal:  Radiology       Date:  1988-08       Impact factor: 11.105

Review 4.  A systematic review and meta-analysis of the accuracy of diffusion-weighted MRI in the detection of malignant pulmonary nodules and masses.

Authors:  Bin Li; Qiong Li; Cong Chen; Yu Guan; Shiyuan Liu
Journal:  Acad Radiol       Date:  2014-01       Impact factor: 3.173

5.  Accuracy of positron emission tomography in mediastinal node assessment in coal workers with lung cancer.

Authors:  Ozkan Saydam; Mertol Gokce; Ali Kilicgun; Ozgur Tanriverdi
Journal:  Med Oncol       Date:  2011-03-06       Impact factor: 3.064

6.  Is diffusion-weighted magnetic resonance imaging superior to positron emission tomography with fludeoxyglucose F 18 in imaging non-small cell lung cancer?

Authors:  Yasuomi Ohba; Hiroaki Nomori; Takeshi Mori; Koei Ikeda; Hidekatsu Shibata; Hironori Kobayashi; Shinya Shiraishi; Kazuhiro Katahira
Journal:  J Thorac Cardiovasc Surg       Date:  2009-03-29       Impact factor: 5.209

7.  Non-small cell lung cancer: whole-body MR examination for M-stage assessment--utility for whole-body diffusion-weighted imaging compared with integrated FDG PET/CT.

Authors:  Yoshiharu Ohno; Hisanobu Koyama; Yumiko Onishi; Daisuke Takenaka; Munenobu Nogami; Takeshi Yoshikawa; Sumiaki Matsumoto; Yoshikazu Kotani; Kazuro Sugimura
Journal:  Radiology       Date:  2008-06-06       Impact factor: 11.105

8.  Diffusion-weighted magnetic resonance imaging can be used in place of positron emission tomography for N staging of non-small cell lung cancer with fewer false-positive results.

Authors:  Hiroaki Nomori; Takeshi Mori; Koei Ikeda; Koichi Kawanaka; Shinya Shiraishi; Kazuhiro Katahira; Yasuyuki Yamashita
Journal:  J Thorac Cardiovasc Surg       Date:  2008-04       Impact factor: 5.209

9.  The Diagnostic Value of MR Imaging in Determining the Lymph Node Status of Patients with Non-Small Cell Lung Cancer: A Meta-Analysis.

Authors:  Jurgen Peerlings; Esther G C Troost; Patricia J Nelemans; David C P Cobben; Johannes C J de Boer; Aswin L Hoffmann; Regina G H Beets-Tan
Journal:  Radiology       Date:  2016-04-25       Impact factor: 11.105

10.  Performance of DWI in the Nodal Characterization and Assessment of Lung Cancer: A Meta-Analysis.

Authors:  Guohua Shen; Shuang Hu; Houfu Deng; Anren Kuang
Journal:  AJR Am J Roentgenol       Date:  2015-11-20       Impact factor: 3.959

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  7 in total

Review 1.  [Diffusion-weighted imaging-diagnostic supplement or alternative to contrast agents in early detection of malignancies?]

Authors:  S Bickelhaupt; C Dreher; F König; K Deike-Hofmann; D Paech; H P Schlemmer; T A Kuder
Journal:  Radiologe       Date:  2019-06       Impact factor: 0.635

2.  Auxiliary Diagnosis of Lung Cancer with Magnetic Resonance Imaging Data under Deep Learning.

Authors:  Lei Xia
Journal:  Comput Math Methods Med       Date:  2022-05-04       Impact factor: 2.809

3.  The Value of PETRA in Pulmonary Nodules of <3 cm Among Patients With Lung Cancer.

Authors:  Hui Feng; Gaofeng Shi; Hui Liu; Yu Du; Ning Zhang; Yaning Wang
Journal:  Front Oncol       Date:  2021-05-18       Impact factor: 6.244

4.  Development and Validation of a Combined Model for Preoperative Prediction of Lymph Node Metastasis in Peripheral Lung Adenocarcinoma.

Authors:  Qi Li; Xiao-Qun He; Xiao Fan; Chao-Nan Zhu; Jun-Wei Lv; Tian-You Luo
Journal:  Front Oncol       Date:  2021-05-24       Impact factor: 6.244

5.  Diffusion-Weighted Magnetic Resonance Imaging for Early Detection of Chemotherapy Resistance in Non-Small Cell Lung Cancer.

Authors:  Junfeng Liu; Hongxia Lv; Jiliang Dong; Xiujing Ding; Zhiguang Han; Shiqing Yang; Zhaogui Ba
Journal:  Med Sci Monit       Date:  2019-08-20

6.  Diffusion-weighted whole-body imaging with background suppression (DWIBS) is effective and economical for detection of metastasis or recurrence of lung cancer.

Authors:  Katsuo Usuda; Shun Iwai; Aika Yamagata; Yoshihito Iijima; Nozomu Motono; Munetaka Matoba; Mariko Doai; Sohsuke Yamada; Yoshimichi Ueda; Keiya Hirata; Hidetaka Uramoto
Journal:  Thorac Cancer       Date:  2021-01-21       Impact factor: 3.500

7.  The many (sur)faces of B cells.

Authors:  Sophia Julia Häfner
Journal:  Biomed J       Date:  2019-10-03       Impact factor: 4.910

  7 in total

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