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Applications Of Magnetic Resonance Imaging Of The Thorax In Pleural Diseases: A State-of-the-Art Review

F. M. C. Pessôa, A. Melo, A. Souza, Luciana Soares de Souza, B. Hochhegger, G. Zanetti, E. Marchiori
Published 2016 · Medicine

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The aim of this review was to present the main aspects of pleural diseases seen with conventional and advanced magnetic resonance imaging (MRI) techniques. This modality is considered to be the gold standard for the evaluation of the pleural interface, characterization of complex pleural effusion, and identification of exudate and hemorrhage, as well as in the analysis of superior sulcus tumors, as it enables more accurate staging. The indication for MRI of the thorax in the identification of these conditions is increasing in comparison to computerized tomography, and it can also be used to support the diagnosis of pulmonary illnesses. This literature review describes the morphological and functional aspects of the main benign and malignant pleural diseases assessed with MRI, including mesothelioma, metastasis, lymphoma, fibroma, lipoma, endometriosis, asbestos-related pleural disease, empyema, textiloma, and splenosis.
This paper references
10.1590/S1806-37132011000200016
Magnetic resonance imaging of the chest: current and new applications, with an emphasis on pulmonology.
M. K. Santos (2011)
10.1148/radiol.12110872
Malignant pleural disease: diagnosis by using diffusion-weighted and dynamic contrast-enhanced MR imaging--initial experience.
J. Coolen (2012)
10.1016/j.lungcan.2013.08.005
Imaging in pleural mesothelioma: a review of the 11th International Conference of the International Mesothelioma Interest Group.
S. Armato (2013)
10.1007/s003300050743
CT features of a pericardial gossypiboma
M. Coskun (1999)
10.4103/0971-3026.120273
Variations of celiac axis, common hepatic artery and its branches in 600 patients
B. Sureka (2013)
10.1148/RG.233025165
From the archives of the AFIP: Localized fibrous tumor of the pleura.
M. Rosado-de-Christenson (2003)
Diffusion-weighted MRI in the characterization of pleural effusions.
N. Inan (2009)
10.1016/0899-7071(92)90009-X
Magnetic resonance imaging of retained surgical sponges. Case report.
H. Sugimura (1992)
10.1148/RADIOGRAPHICS.12.6.1439021
Imaging manifestations of pleural tumors.
M. Dynes (1992)
Pleural endometriosis: findings on magnetic resonance imaging.
E. Marchiori (2012)
MR findings of surgically retained sponges and towels: report of two cases.
S. Kuwashima (1993)
10.1016/j.acra.2007.12.014
Pharmacokinetic analysis of malignant pleural mesothelioma-initial results of tumor microcirculation and its correlation to microvessel density (CD-34).
F. Giesel (2008)
10.1016/S0167-5273(99)00003-0
Intrathoracic gossypiboma: magnetic resonance features.
F. Vayre (1999)
10.1007/s11548-009-0356-4
Comparison of diagnostic quality and accuracy in color-coded versus gray-scale DCE-MR imaging display
A. Mehndiratta (2009)
10.1093/AJCP/92.5.703
Localized fibrous tumors of the pleura.
D. Carter (1989)
10.1590/S0100-39842009000600016
Características de imagem na ressonância magnética de gossipiboma intracraniano: relato de caso e revisão da literatura
M. C. B. Martins (2009)
10.1002/(SICI)1522-2586(200002)11:2<195::AID-JMRI18>3.0.CO;2-Q
Breath-hold 3D gradient-echo MR imaging of the lung parenchyma: evaluation of reproducibility of image quality in normals and preliminary observations in patients with disease.
R. Semelka (2000)
10.1080/02841859809172173
MR features of a 24-year-old gossypiboma
R. Roumen (1998)
10.1136/thoraxjnl-2013-204727
Pleural nodules in a patient with a colonic tumour
E. Marchiori (2013)
10.1590/S1806-37132012000600017
Endometriose pleural: achados na ressonância magnética
E. Marchiori (2012)
10.1007/s00408-012-9429-1
Thoracic Splenosis After Thoracoabdominal Trauma Presenting as Pleural Nodules
A. Mançano (2012)
10.4321/S1137-66272015000100022
[Multiple extraneural metastasis of glioblastoma multiforme].
J. Undabeitia (2015)
10.1378/CHEST.125.4.1546
Pleural effusions in hematologic malignancies.
M. Alexandrakis (2004)
10.2214/AJR.171.3.9725280
The retained intrapericardial sponge: value of the lateral chest radiograph.
W. Scott (1998)
10.2478/v10019-010-0027-7
3T MRI in evaluation of asbestos-related thoracic diseases – preliminary results
J. Podobnik (2010)
10.1016/j.mric.2010.09.006
Diffusion-weighted imaging of the chest.
A. Luna (2011)
10.4103/0971-3026.125577
Radiological review of pleural tumors
B. Sureka (2013)
diagnosis by using diffusion-weighted and dynamic Fig
J Coolen (2016)
10.1183/09031936.98.11010194
Magnetic resonance imaging of the thorax in the evaluation of asbestosis.
S. Bekkelund (1998)
10.1007/BF01889152
Computed tomography of retained abdominal sponges and towels
Jean -Noel Buy (2005)
10.1200/JCO.2010.33.5323
Primary pleural lymphoma without associated pyothorax.
A. Giardino (2011)
10.1016/j.mric.2015.01.006
Novel MR Imaging Applications for Pleural evaluation.
R. Gill (2015)
10.1200/JCO.2010.28.4455
Decrease in depression symptoms is associated with longer survival in patients with metastatic breast cancer: a secondary analysis.
J. Giese-Davis (2011)
10.5812/iranjradiol.13933
A Rare Cause of Chronic Cough: Intrathoracic Gossypiboma
Dilber Yilmaz Durmaz (2014)
10.1590/S1806-37132014000500010
Thoracic textilomas: CT findings*
D. M. Machado (2014)
10.1016/j.rmed.2015.06.004
Focal pleural tumorlike conditions: nodules and masses beyond mesotheliomas and metastasis.
Maria Clara Fernandes de Paula (2015)
10.1259/bjr/68800282
Thoracic textilomas after myocardial revascularisation: typical CT findings.
L. Nobre (2010)
10.1259/BJR/61657645
Intrathoracic gossypiboma: radiographic and CT findings.
T. Suwatanapongched (2005)
10.1378/CHEST.128.1.439
Paracardiac opacity following inferior- and middle-lobe resection for bronchogenic carcinoma: unsuspected diagnosis.
A. Poncelet (2005)
10.1097/MCP.0000000000000177
MRI of pleural diseases
J. Coolen (2015)



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