WHOverlap Multicentre Study: Dissecting the Insufficient/Inadequate/Non-Diagnostic Category and Its Overlap with the Benign Category in the WHO Reporting System for Lung Cytopathology

These findings demonstrate that imaging correlation is critical for accurate risk assessment in the overlap between the ND and B cytopathology categories. Subclassification of ND and B cases based on imaging features and consistent reporting of ROM can help identify patients who may benefit from repeat sampling or further diagnostic evaluation. This approach has the potential to enhance diagnostic accuracy and improve clinical decision-making.

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Publication Details

Journal
Acta Cytologica
Published
2025-10-09
DOI
https://doi.org/10.1159/000548855
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

WHOverlap Multicentre Study: Dissecting the Insufficient/Inadequate/Non-Diagnostic Category and Its Overlap with the Benign Category in the WHO Reporting System for Lung Cytopathology

Maria Teresa Azevedo, Danijela Vrdoljak‐Mozetič, Eva Darai Ramqvist, Maria F. Arisi et al.
Acta Cytologica
Lung Cancer Diagnosis and Treatment
article

WHOverlap Multicentre Study: Dissecting the Insufficient/Inadequate/Non-Diagnostic Category and Its Overlap with the Benign Category in the WHO Reporting System for Lung Cytopathology

Maria Teresa Azevedo, Danijela Vrdoljak‐Mozetič, Eva Darai Ramqvist, Maria F. Arisi, Aysun Uğuz, Sevgen Önder, Elena Vigliar, Sharron Liang, Giancarlo Troncone, Zahra Maleki, Nuno Vale, Paul A. VanderLaan, Şule Canberk, Zubair Baloch, Massimo Bongiovanni, Olcay Kurtulan, Cavit Kerem Kayhan, Pınar Fırat, Wendy A. Raymond, Immacolata Cozzolino, Ümit İnce, Ozlem Aydin, Andrew S Field, Claudio Bellevicine, Makbule Aydın, Bruna Manuela Magalhães
article en

Abstract

These findings demonstrate that imaging correlation is critical for accurate risk assessment in the overlap between the ND and B cytopathology categories. Subclassification of ND and B cases based on imaging features and consistent reporting of ROM can help identify patients who may benefit from repeat sampling or further diagnostic evaluation. This approach has the potential to enhance diagnostic accuracy and improve clinical decision-making.

Acta Cytologica
Beth Israel Deaconess Medical Center (US), Karolinska University Hospital (SE), Koç University (TR), Harvard University (US), University of Rijeka (HR), Universidade do Porto (PT), Hospital of the University of Pennsylvania (US), Flinders Medical Centre (AU), Karolinska Institutet (SE), St Vincent's Hospital Sydney (AU), St Vincent’s Private Hospital Sydney (AU), University of Campania "Luigi Vanvitelli" (IT), Kent Hastanesi (TR), Johns Hopkins Hospital (US), Acıbadem Adana Hospital (TR), Cukurova University (TR), Hacettepe University (TR), University of Naples Federico II (IT), University of Lausanne (CH)
Openalex Percentile: Top 59%
Lung Cancer Diagnosis and Treatment
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