Digitalni repozitorij raziskovalnih organizacij Slovenije

Izpis gradiva
A+ | A- | Pomoč | SLO | ENG

Naslov:Pleural mesothelioma diagnosis for the pulmonologist
Avtorji:ID Fantin, Alberto (Avtor)
ID Castaldo, Nadia (Avtor)
ID Crisafulli, Ernesto (Avtor)
ID Sartori, Giulia (Avtor)
ID Patrucco, Filippo (Avtor)
ID Grosu, Horiana B. (Avtor)
ID Vailati, Paolo (Avtor)
ID Morana, Giuseppe (Avtor)
ID Patruno, Vincenzo (Avtor)
ID Kette, Stefano (Avtor)
ID Aujayeb, Avinash (Avtor)
ID Rozman, Aleš, Univerzitetna klinika za pljučne bolezni in alergijo Golnik (Avtor)
Datoteke:URL URL - Izvorni URL, za dostop obiščite https://www.mdpi.com/2072-6694/17/23/3866
 
.pdf PDF - Predstavitvena datoteka, prenos (14,98 MB)
MD5: 28F86E0C0326858D009C34BB2CC8AA0F
 
Jezik:Angleški jezik
Tipologija:1.02 - Pregledni znanstveni članek
Organizacija:Logo UKPBAG - Univerzitetna klinika za pljučne bolezni in alergijo Golnik
Povzetek: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.
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Poslano v recenzijo:04.11.2025
Datum sprejetja članka:29.11.2025
Datum objave:01.12.2025
Leto izida:2025
Št. strani:29 str.
Številčenje:Vol. 17, issue 23, article no. 3866
PID:20.500.12556/DiRROS-27413 Novo okno
UDK:616.24-006.6:616-073
ISSN pri članku:2072-6694
DOI:10.3390/cancers17233866 Novo okno
COBISS.SI-ID:261553667 Novo okno
Avtorske pravice:© 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/
Opomba:Nasl. z nasl. zaslona; Sovtor iz Slovenije: Aleš Rozman; Opis vira z dne 16. 12. 2025;
Datum objave v DiRROS:06.02.2026
Število ogledov:28
Število prenosov:12
Metapodatki:XML DC-XML DC-RDF
:
Kopiraj citat
  
Objavi na:Bookmark and Share


Postavite miškin kazalec na naslov za izpis povzetka. Klik na naslov izpiše podrobnosti ali sproži prenos.

Gradivo je del revije

Naslov:Cancers
Skrajšan naslov:Cancers
Založnik:MDPI
ISSN:2072-6694
COBISS.SI-ID:517914137 Novo okno

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Začetek licenciranja:01.12.2025

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:slikovna diagnostika, biopsija, torakoskopija, biomarkerji, radiomika, tekoča biopsija, umetna inteligenca, molekularno profiliranje, analiza izdihanega zraka, multidisciplinarna obravnava


Nazaj