Literature DB >> 27665148

Screening for lung cancer: Does MRI have a role?

Juergen Biederer1, Yoshiharu Ohno2, Hiroto Hatabu3, Mark L Schiebler4, Edwin J R van Beek5, Jens Vogel-Claussen6, Hans-Ulrich Kauczor7.   

Abstract

While the inauguration of national low dose computed tomographic (LDCT) lung cancer screening programs has started in the USA, other countries remain undecided, awaiting the results of ongoing trials. The continuous technical development achieved by stronger gradients, parallel imaging and shorter echo time has made lung magnetic resonance imaging (MRI) an interesting alternative to CT. For the detection of solid lesions with lung MRI, experimental and clinical studies have shown a threshold size of 3-4mm for nodules, with detection rates of 60-90% for lesions of 5-8mm and close to 100% for lesions of 8mm or larger. From experimental work, the sensitivity for infiltrative, non-solid lesions would be expected to be similarly high as that for solid lesions, but the published data for the MRI detection of lepidic growth type adenocarcinoma is sparse. Moreover, biological features such as a longer T2 time of lung cancer tissue, tissue compliance and a more rapid uptake of contrast material compared to granulomatous diseases, in principle should allow for the multi-parametric characterization of lung pathology. Experience with the clinical use of lung MRI is growing. There are now standardized protocols which are easy to implement on current scanner hardware configurations. The image quality has become more robust and currently ongoing studies will help to further contribute experience with multi-center, multi-vendor and multi-platform implementation of this technology. All of the required prerequisites have now been achieved to allow for a dedicated prospective large scale MRI based lung cancer screening trial to investigate the outcomes from using MRI rather than CT for lung cancer screening. This is driven by the hypothesis that MRI would reach a similarly high sensitivity for the detection of early lung cancer with fewer false positive exams (better specificity) than LDCT. The purpose of this review article is to discuss the potential role of lung MRI for the early detection of lung cancer from a technical point of view and to discuss a few of the possible scenarios for lung cancer screening implementation using this imaging modality. There is little doubt that MRI could play a significant role in lung cancer screening, but how and when will depend on the threshold needed for positive screens (e.g. lesion volume and required diagnostic accuracy), cost-effectiveness and improved patient outcomes from a reduction in the need to follow up benign nodules. Potential applications range from lung MRI as the first choice screening modality to the role of an ad hoc on site test for the detailed evaluation of a subgroup of positive screening results.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Cancer screening; Lung cancer; Lung nodules; Magnetic resonance imaging; Multiparametric imaging; Patient outcomes

Mesh:

Substances:

Year:  2016        PMID: 27665148     DOI: 10.1016/j.ejrad.2016.09.016

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


  17 in total

1.  Lung cancer screening with MRI: results of the first screening round.

Authors:  Michael Meier-Schroers; Rami Homsi; Dirk Skowasch; Jens Buermann; Matthias Zipfel; Hans Heinz Schild; Daniel Thomas
Journal:  J Cancer Res Clin Oncol       Date:  2017-09-20       Impact factor: 4.553

2.  Response to "Commentary on: Lung cancer screening with MRI: results of the first screening round": Ngam Pei Ing et al.

Authors:  Michael Meier-Schroers; H H Schild; D Thomas
Journal:  J Cancer Res Clin Oncol       Date:  2018-05-14       Impact factor: 4.553

3.  Cost-effectiveness of lung MRI in lung cancer screening.

Authors:  Bradley D Allen; Mark L Schiebler; Gregor Sommer; Hans-Ulrich Kauczor; Juergen Biederer; Timothy J Kruser; James C Carr; Gordon Hazen
Journal:  Eur Radiol       Date:  2019-11-20       Impact factor: 5.315

4.  The Application and Value of 3T Magnetic Resonance Imaging in the Display of Pulmonary Nodules.

Authors:  Hui Feng; Gaofeng Shi; Hui Liu; Qian Xu; Lijia Wang; Ning Zhang
Journal:  Front Oncol       Date:  2022-05-18       Impact factor: 5.738

5.  Lung cancer screening with MRI: Evaluation of MRI for lung cancer screening by comparison of LDCT- and MRI-derived Lung-RADS categories in the first two screening rounds.

Authors:  Michael Meier-Schroers; Rami Homsi; Jürgen Gieseke; Hans Heinz Schild; Daniel Thomas
Journal:  Eur Radiol       Date:  2018-07-10       Impact factor: 5.315

6.  Feasibility of 31 P spectroscopic imaging at 7 T in lung carcinoma patients.

Authors:  Quincy Q van Houtum; Firdaus F A A Mohamed Hoesein; Joost J J C Verhoeff; Peter P S N van Rossum; Anne A S R van Lindert; Tijl T A van der Velden; Wybe W J M van der Kemp; Dennis D W J Klomp; Catalina C S Arteaga de Castro
Journal:  NMR Biomed       Date:  2019-11-17       Impact factor: 4.044

7.  Comparison Between Magnetic Resonance Imaging and Computed Tomography in the Detection and Volumetric Assessment of Lung Nodules: A Prospective Study.

Authors:  Emeline Darçot; Mario Jreige; David C Rotzinger; Stacey Gidoin Tuyet Van; Alessio Casutt; Jean Delacoste; Julien Simons; Olivier Long; Flore Buela; Jean-Baptiste Ledoux; John O Prior; Alban Lovis; Catherine Beigelman-Aubry
Journal:  Front Med (Lausanne)       Date:  2022-04-28

Review 8.  A review of the role of MRI in diagnosis and treatment of early stage lung cancer.

Authors:  Austin J Sim; Evangelia Kaza; Lisa Singer; Stephen A Rosenberg
Journal:  Clin Transl Radiat Oncol       Date:  2020-06-06

Review 9.  [Advances in Diagnosis and Management of Subcentimeter Pulmonary Nodules].

Authors:  Yilv Lv; Bo Ye
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2020-05-20

10.  EGFR-specific single-chain variable fragment antibody-conjugated Fe3O4/Au nanoparticles as an active MRI contrast agent for NSCLC.

Authors:  Yuan Lu; Jing Huang; Fakai Li; Yuan Wang; Ming Ding; Jian Zhang; Hong Yin; Rui Zhang; Xinling Ren
Journal:  MAGMA       Date:  2021-02-24       Impact factor: 2.310

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