Literature DB >> 29573050

MRI for solitary pulmonary nodule and mass assessment: Current state of the art.

Yoshiharu Ohno1,2, Hans-Ulrich Kauczor3, Hiroto Hatabu4, Joon Beom Seo5,6, Edwin J R van Beek7.   

Abstract

Since the clinical introduction of magnetic resonance imaging (MRI), the chest has been one of its most challenging applications, and many physicists and radiologists have tried since the 1980s to use MR for assessment of different lung diseases as well as mediastinal and pleural diseases. Since then, however, technical advances in sequencing, scanners, and coils, adaptation of parallel imaging techniques, utilization of contrast media, and development of postprocessing tools have been reported by many basic and clinical researchers. As a result, state-of-the-art thoracic MRI is now substituted for traditional imaging techniques and/or plays a complementary role in the management of patients with various chest diseases, and especially in the detection of pulmonary nodules and in thoracic oncology. In addition, MRI has continued to be developed to help overcome the limitations of computed tomography (CT) and nuclear medicine examinations. It can currently provide not only morphological, but also functional, physiological, pathophysiological, and molecular information at 1.5T with a gradual shift from 1.5T to 3T MR systems. In this review, we focus on these recent advances in MRI for pulmonary nodule detection and pulmonary nodule and mass evaluation by using noncontrast-enhanced and contrast-enhanced techniques as well as new molecular imaging methods such as chemical exchange saturation transfer imaging for a comparison with other modalities such as single or multidetector row CT, 18F-fluoro-2-deoxyglucose positron emission tomography (FDG-PET), and/or PET/CT. LEVEL OF EVIDENCE: 4 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;47:1437-1458.
© 2018 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  MRI; detection; diagnosis; lung; lung cancer; nodule

Mesh:

Substances:

Year:  2018        PMID: 29573050     DOI: 10.1002/jmri.26009

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  6 in total

1.  What is the diagnostic performance of 18-FDG-PET/MR compared to PET/CT for the N- and M- staging of breast cancer?

Authors:  Diomidis Botsikas; Ilias Bagetakos; Marlise Picarra; Ana Carolina Da Cunha Afonso Barisits; Sana Boudabbous; Xavier Montet; Giang Thanh Lam; Ismini Mainta; Anastasia Kalovidouri; Minerva Becker
Journal:  Eur Radiol       Date:  2018-09-28       Impact factor: 5.315

2.  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

3.  A pilot study of native T1-mapping for focal pulmonary lesions in 3.0 T magnetic resonance imaging: size estimation and differential diagnosis.

Authors:  Shuyi Yang; Fei Shan; Qinqin Yan; Jie Shen; Peiyan Ye; Zhiyong Zhang; Yuxin Shi; Rengyin Zhang
Journal:  J Thorac Dis       Date:  2020-05       Impact factor: 2.895

Review 4.  The current status and further prospects for lung magnetic resonance imaging in pediatric radiology.

Authors:  Franz Wolfgang Hirsch; Ina Sorge; Jens Vogel-Claussen; Christian Roth; Daniel Gräfe; Anne Päts; Andreas Voskrebenzev; Rebecca Marie Anders
Journal:  Pediatr Radiol       Date:  2020-01-29

5.  MRI Image Segmentation Model with Support Vector Machine Algorithm in Diagnosis of Solitary Pulmonary Nodule.

Authors:  Bo Feng; Meihua Zhang; Hanlin Zhu; Lingang Wang; Yanli Zheng
Journal:  Contrast Media Mol Imaging       Date:  2021-07-20       Impact factor: 3.161

Review 6.  State-of-the-art MR Imaging for Thoracic Diseases.

Authors:  Yumi Tanaka; Yoshiharu Ohno; Satomu Hanamatsu; Yuki Obama; Takahiro Ueda; Hirotaka Ikeda; Akiyoshi Iwase; Takashi Fukuba; Hidekazu Hattori; Kazuhiro Murayama; Takeshi Yoshikawa; Daisuke Takenaka; Hisanobu Koyama; Hiroshi Toyama
Journal:  Magn Reson Med Sci       Date:  2021-04-29       Impact factor: 2.760

  6 in total

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