Literature DB >> 15308938

Asbestos-related pleural disease: value of dedicated magnetic resonance imaging techniques.

Marc-André Weber1, Michael Bock, Christian Plathow, Klaus Wasser, Christian Fink, Ivan Zuna, Astrid Schmähl, Irina Berger, Hans-Ulrich Kauczor, Stefan O Schoenberg.   

Abstract

OBJECTIVES: We sought to compare respiratory-gated high-spatial resolution magnetic resonance imaging (MRI) and radial MRI with ultra-short echo times with computed tomography (CT) in the diagnosis of asbestos-related pleural disease.
METHODS: Twenty-one patients with confirmed long-term asbestos exposure were examined with a CT and a 1.5-T MR unit. High-resolution respiratory-gated T2w turbo-spin-echo (TSE), breath-hold T1w TSE, and contrast-enhanced fat-suppressed breath-hold T1w TSE images with an inplane resolution of less than 1 mm were acquired. To visualize pleural plaques with a short T2* time, a pulse sequence with radial k-space-sampling was used (TE = 0.5 milliseconds) before and after administration of Gd-DTPA. CT and MR images were assessed by 4 readers for the number and calcification of plaques, extension of pleural fibrosis, extrapleural fat, detection of mesothelioma and its infiltration into adjacent tissues, and detection of pleural effusion. Observer agreement was studied with the use of kappa statistics.
RESULTS: The MRI protocol allowed for differentiation between normal pleura and pleura with plaques. Interobserver agreement was comparable for MRI and CT in detecting pleural plaques (median kappa = 0.72 for MRI and 0.73 for CT) and significantly higher with CT than with MRI for detection of plaque calcification (median kappa 0.86 for CT and 0.72 for MRI; P = 0.03). Median sensitivity of MRI was 88% for detection of plaque calcification compared with CT. For assessment of pleural thickening, pleural effusion, and extrapleural fat, interobserver agreement with MRI was significantly higher than with CT (median kappa 0.71 and 0.23 for pleural thickening, 0.87 and 0.62 for pleural effusion, and 0.7 and 0.56 for extrapleural fat, respectively; P < 0.05). For detection of mesothelioma, median kappa was 0.63 for MRI and 0.58 for CT.
CONCLUSION: High-resolution MR sequences and radial MRI achieve a comparable interobserver agreement in detecting pleural plaques and even a higher interobserver agreement in assessing pleural thickening, pleural effusion, and extrapleural fat when compared with CT.

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Year:  2004        PMID: 15308938     DOI: 10.1097/01.rli.0000131888.39636.c5

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  6 in total

1.  Automated lung segmentation of diseased and artifact-corrupted magnetic resonance sections.

Authors:  William F Sensakovic; Samuel G Armato; Adam Starkey; Philip Caligiuri
Journal:  Med Phys       Date:  2006-09       Impact factor: 4.071

Review 2.  Current best practice in the evaluation and management of malignant pleural effusions.

Authors:  Steven Walker; Anna C Bibby; Nick A Maskell
Journal:  Ther Adv Respir Dis       Date:  2016-10-24       Impact factor: 4.031

3.  Therapy response in malignant pleural mesothelioma-role of MRI using RECIST, modified RECIST and volumetric approaches in comparison with CT.

Authors:  Christian Plathow; Michael Klopp; Christian Thieke; Felix Herth; Andreas Thomas; Astrid Schmaehl; Ivan Zuna; Hans-Ulrich Kauczor
Journal:  Eur Radiol       Date:  2008-03-28       Impact factor: 5.315

4.  3T MRI in evaluation of asbestos-related thoracic diseases - preliminary results.

Authors:  Janez Podobnik; Igor Kocijancic; Viljem Kovac; Igor Sersa
Journal:  Radiol Oncol       Date:  2010-05-24       Impact factor: 2.991

5.  Clinical consequences of asbestos-related diffuse pleural thickening: A review.

Authors:  Susan E Miles; Alessandra Sandrini; Anthony R Johnson; Deborah H Yates
Journal:  J Occup Med Toxicol       Date:  2008-09-08       Impact factor: 2.646

Review 6.  The Use of Chest Magnetic Resonance Imaging in Malignant Pleural Mesothelioma Diagnosis.

Authors:  Federica Volpi; Caterina A D'Amore; Leonardo Colligiani; Alessio Milazzo; Silvia Cavaliere; Annalisa De Liperi; Emanuele Neri; Chiara Romei
Journal:  Diagnostics (Basel)       Date:  2022-03-19
  6 in total

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