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Title:Pleural mesothelioma diagnosis for the pulmonologist
Authors:ID Fantin, Alberto (Author)
ID Castaldo, Nadia (Author)
ID Crisafulli, Ernesto (Author)
ID Sartori, Giulia (Author)
ID Patrucco, Filippo (Author)
ID Grosu, Horiana B. (Author)
ID Vailati, Paolo (Author)
ID Morana, Giuseppe (Author)
ID Patruno, Vincenzo (Author)
ID Kette, Stefano (Author)
ID Aujayeb, Avinash (Author)
ID Rozman, Aleš, Univerzitetna klinika za pljučne bolezni in alergijo Golnik (Author)
Files:URL URL - Source URL, visit https://www.mdpi.com/2072-6694/17/23/3866
 
.pdf PDF - Presentation file, download (14,98 MB)
MD5: 28F86E0C0326858D009C34BB2CC8AA0F
 
Language:English
Typology:1.02 - Review Article
Organization:Logo UKPBAG - University Clinic of Respiratory and Allergic Diseases Golnik
Abstract:Background/Objectives: Malignant pleural mesothelioma (MPM) is a rare, aggressive tumor with a poor prognosis and complex diagnostic pathways. Pulmonologists often play a central role in its initial recognition and investigation. This narrative review synthesizes the current evidence on the diagnostic approach to MPM, with emphasis on imaging, tissue sampling, histopathology, and emerging diagnostic innovations relevant to clinical pulmonology. Methods: English-language studies published between January 2005 and June 2025 were identified from PubMed and Scopus. International guidelines and consensus documents were also reviewed to provide an updated overview of diagnostic strategies. Results: Diagnosis of MPM relies on a stepwise integration of clinical, radiological, and pathological information. Thoracic ultrasound, computed tomography, positron emission computed tomography and magnetic resonance imaging complement each other across different stages of the diagnostic pathway. Image-guided pleural biopsy and medical thoracoscopy remain the gold standard for tissue confirmation, supported by immunohistochemistry and molecular testing. The 2021 World Health Organization classification of pleural tumors and the International Association Study of Lung Cancer 9th Edition Tumour-Node-Mestastatis system have refined histologic and staging criteria, thereby improving reproducibility and prognostic accuracy. Emerging tools, including liquid biopsy, novel serum and molecular biomarkers, artificial-intelligence-based radiomics, and breathomics, offer promise for earlier and less invasive diagnosis but require prospective validation. Conclusions: Current advances are redefining MPM diagnosis toward integrated, multidisciplinary, and precision-based models. Future priorities include standardizing diagnostic algorithms, validating minimally invasive biomarkers, and integrating AI and molecular profiling into clinical workflows to enhance patient stratification.
Publication status:Published
Publication version:Version of Record
Submitted for review:04.11.2025
Article acceptance date:29.11.2025
Publication date:01.12.2025
Year of publishing:2025
Number of pages:29 str.
Numbering:Vol. 17, issue 23, article no. 3866
PID:20.500.12556/DiRROS-27413 New window
UDC:616.24-006.6:616-073
ISSN on article:2072-6694
DOI:10.3390/cancers17233866 New window
COBISS.SI-ID:261553667 New window
Copyright:© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/
Note:Nasl. z nasl. zaslona; Sovtor iz Slovenije: Aleš Rozman; Opis vira z dne 16. 12. 2025;
Publication date in DiRROS:06.02.2026
Views:30
Downloads:12
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Record is a part of a journal

Title:Cancers
Shortened title:Cancers
Publisher:MDPI
ISSN:2072-6694
COBISS.SI-ID:517914137 New window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:01.12.2025

Secondary language

Language:Slovenian
Keywords:slikovna diagnostika, biopsija, torakoskopija, biomarkerji, radiomika, tekoča biopsija, umetna inteligenca, molekularno profiliranje, analiza izdihanega zraka, multidisciplinarna obravnava


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