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Computed tomography imaging of subpleural lipoma in two men: two case reports


Karlo, C A; Stolzmann, P; Frauenfelder, T; Donati, O F; Leschka, S (2010). Computed tomography imaging of subpleural lipoma in two men: two case reports. Journal of Medical Case Reports, 4:380.

Abstract

INTRODUCTION: Subpleural lipomas are very rare pleural lesions and are often discovered incidentally in asymptomatic patients on conventional radiographs.
CASE PRESENTATIONS: We report two cases of subpleural lipomas and describe their imaging characteristics on chest radiographs and computed tomography. We describe the cases of two Caucasian men, aged 77 and 62 years old.
CONCLUSIONS: For non-invasive diagnostic investigation, computed tomography enables the identification and quantification of these tumors due to their characteristic fat attenuation.

Abstract

INTRODUCTION: Subpleural lipomas are very rare pleural lesions and are often discovered incidentally in asymptomatic patients on conventional radiographs.
CASE PRESENTATIONS: We report two cases of subpleural lipomas and describe their imaging characteristics on chest radiographs and computed tomography. We describe the cases of two Caucasian men, aged 77 and 62 years old.
CONCLUSIONS: For non-invasive diagnostic investigation, computed tomography enables the identification and quantification of these tumors due to their characteristic fat attenuation.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Clinic for Diagnostic and Interventional Radiology
Dewey Decimal Classification:610 Medicine & health
Scopus Subject Areas:Health Sciences > General Medicine
Language:English
Date:2010
Deposited On:21 Jan 2011 18:05
Last Modified:28 Jun 2022 13:27
Publisher:BioMed Central
ISSN:1752-1947
OA Status:Gold
Free access at:PubMed ID. An embargo period may apply.
Publisher DOI:https://doi.org/10.1186/1752-1947-4-380
PubMed ID:21108781
  • Content: Published Version
  • Licence: Creative Commons: Attribution 2.0 Generic (CC BY 2.0)