Detailed Information

Cited 1 time in webofscience Cited 1 time in scopus
Metadata Downloads

Added value of 40 keV virtual monoenergetic images for diagnosing malignant pleural effusion on chest CT

Full metadata record
DC Field Value Language
dc.contributor.authorKim, Nahyeon-
dc.contributor.authorBae, Kyungsoo-
dc.contributor.authorKim, Ho Cheol-
dc.contributor.authorJeon, Kyung Nyeo-
dc.date.accessioned2024-05-16T01:30:19Z-
dc.date.available2024-05-16T01:30:19Z-
dc.date.issued2024-08-
dc.identifier.issn1867-1071-
dc.identifier.issn1867-108X-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/70566-
dc.description.abstractObjective This study aimed to evaluate the added value of 40 keV virtual mono-energetic images (VMIs) obtained from dual-layer detector CT (DLCT) for diagnosing malignant pleural effusion (MPE) in patients presenting with unilateral pleural effusion on chest CT. Materials and methods This retrospective study included 75 patients with unilateral pleural effusion who underwent contrast-enhanced chest CT scans using DLCT. Quantitative and qualitative assessments of the visibility of pleural thickening were conducted on both conventional 120 kVp images and 40 keV VMIs. Two independent radiologists reviewed chest CT scans with or without 40 keV VMIs to detect pleural nodules or nodular thickening for the diagnosis of MPE. Diagnostic performances were compared and independent predictors of MPE were identified through multivariate logistic regression analysis using CT and clinicopathologic findings. Results Pleural thickening associated with MPE demonstrated a higher contrast-to-noise ratio value and greater visual conspicuity in 40 keV VMIs compared to benign effusions (p < 0.05). For both readers, the use of 40 keV VMIs significantly improved (p < 0.05) the diagnostic performance in terms of sensitivity and area under the curve (AUC) for diagnosing MPE through the detection of pleural nodularity. Inter-observer agreements between the two readers were substantial for both 120 kVp images alone and the combined use of 40 keV VMIs. Initial cytology results and pleural nodularity at 40 keV were identified as independent predictors of MPE. Conclusion The use of 40 keV VMIs from DLCT can improve diagnostic performance of readers in detecting MPE among patients with unilateral pleural effusion.-
dc.format.extent10-
dc.language영어-
dc.language.isoENG-
dc.publisherSpringer Verlag-
dc.titleAdded value of 40 keV virtual monoenergetic images for diagnosing malignant pleural effusion on chest CT-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1007/s11604-024-01571-x-
dc.identifier.scopusid2-s2.0-85191991515-
dc.identifier.wosid001214066800002-
dc.identifier.bibliographicCitationJapanese Journal of Radiology, v.42, no.8, pp 862 - 871-
dc.citation.titleJapanese Journal of Radiology-
dc.citation.volume42-
dc.citation.number8-
dc.citation.startPage862-
dc.citation.endPage871-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaRadiology, Nuclear Medicine & Medical Imaging-
dc.relation.journalWebOfScienceCategoryRadiology, Nuclear Medicine & Medical Imaging-
dc.subject.keywordPlusACUTE ISCHEMIC-STROKE-
dc.subject.keywordPlusSTENT-RETRIEVER THROMBECTOMY-
dc.subject.keywordPlusENDOVASCULAR TREATMENT-
dc.subject.keywordPlusEARLY MANAGEMENT-
dc.subject.keywordPlus2018 GUIDELINES-
dc.subject.keywordPlusPERFUSION-
dc.subject.keywordPlusOCCLUSION-
dc.subject.keywordPlusINFARCT-
dc.subject.keywordPlusMRI-
dc.subject.keywordAuthorDual-energy computed tomography-
dc.subject.keywordAuthorMalignant pleural effusions-
dc.subject.keywordAuthorPleural nodularity-
dc.subject.keywordAuthorPleural metastasis-
dc.subject.keywordAuthorDual-layer CT-
dc.subject.keywordAuthorVirtual monochromatic image-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Medicine > Department of Medicine > Journal Articles
의학계열 > 의학과 > Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Jeon, Kyung Nyeo photo

Jeon, Kyung Nyeo
의과대학 (의학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE