Universität zu Köln

Kludt, Carina, Wang, Yuan, Ahmad, Waleed, Bychkov, Andrey, Fukuoka, Junya, Gaisa, Nadine, Kühnel, Mark, Jonigk, Danny, Pryalukhin, Alexey, Mairinger, Fabian, Klein, Franziska, Schultheis, Anne Maria, Seper, Alexander, Hulla, Wolfgang, Brägelmann, Johannes, Michels, Sebastian, Klein, Sebastian, Quaas, Alexander, Büttner, Reinhard and Tolkach, Yuri (2024). Next-generation lung cancer pathology: Development and validation of diagnostic and prognostic algorithms. Cell Reports Medicine, 5 (9). pp. 1-20. Elsevier. ISSN 2666-3791

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Abstract

[Artikel-Nr.: 101697] Non-small cell lung cancer (NSCLC) is one of the most common malignant tumors. In this study, we develop a clinically useful computational pathology platform for NSCLC that can be a foundation for multiple downstream applications and provide immediate value for patient care optimization and individualization. We train the primary multi-class tissue segmentation algorithm on a substantial, high-quality, manually annotated dataset of whole-slide images with lung adenocarcinoma and squamous cell carcinomas. We investigate two downstream applications. NSCLC subtyping algorithm is trained and validated using a large, multi-institutional (n = 6), multi-scanner (n = 5), international cohort of NSCLC cases (slides/patients 4,097/1,527). Moreover, we develop four AI-derived, fully explainable, quantitative, prognostic parameters (based on tertiary lymphoid structure and necrosis assessment) and validate them for different clinical endpoints. The computational platform enables the high-precision, quantitative analysis of H&E-stained slides. The developed prognostic parameters facilitate robust and independent risk stratification of patients with NSCLC.

Item Type:	Article
Creators:	Creators Email ORCID ORCID Put Code Kludt, Carina UNSPECIFIED UNSPECIFIED UNSPECIFIED Wang, Yuan UNSPECIFIED UNSPECIFIED UNSPECIFIED Ahmad, Waleed UNSPECIFIED UNSPECIFIED UNSPECIFIED Bychkov, Andrey UNSPECIFIED UNSPECIFIED UNSPECIFIED Fukuoka, Junya UNSPECIFIED UNSPECIFIED UNSPECIFIED Gaisa, Nadine UNSPECIFIED UNSPECIFIED UNSPECIFIED Kühnel, Mark UNSPECIFIED UNSPECIFIED UNSPECIFIED Jonigk, Danny UNSPECIFIED UNSPECIFIED UNSPECIFIED Pryalukhin, Alexey UNSPECIFIED UNSPECIFIED UNSPECIFIED Mairinger, Fabian UNSPECIFIED UNSPECIFIED UNSPECIFIED Klein, Franziska UNSPECIFIED UNSPECIFIED UNSPECIFIED Schultheis, Anne Maria UNSPECIFIED UNSPECIFIED UNSPECIFIED Seper, Alexander UNSPECIFIED UNSPECIFIED UNSPECIFIED Hulla, Wolfgang UNSPECIFIED UNSPECIFIED UNSPECIFIED Brägelmann, Johannes UNSPECIFIED UNSPECIFIED UNSPECIFIED Michels, Sebastian UNSPECIFIED UNSPECIFIED UNSPECIFIED Klein, Sebastian UNSPECIFIED UNSPECIFIED UNSPECIFIED Quaas, Alexander UNSPECIFIED UNSPECIFIED UNSPECIFIED Büttner, Reinhard UNSPECIFIED UNSPECIFIED UNSPECIFIED Tolkach, Yuri UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-814387
Identification Number:	10.1016/j.xcrm.2024.101697
Journal or Publication Title:	Cell Reports Medicine
Volume:	5
Number:	9
Page Range:	pp. 1-20
Number of Pages:	20
Date:	September 2024
Publisher:	Elsevier
ISSN:	2666-3791
Language:	English
Faculty:	Faculty of Medicine
Divisions:	Faculty of Medicine > Innere Medizin > Klinik I für Innere Medizin - Hämatologie und Onkologie Faculty of Medicine > Pathologie und Neuropathologie > Institut für Pathologie Faculty of Medicine > Weitere > Centrum für integrierte Onkologie (CIO) Faculty of Medicine > Weitere > Translationale Genomik Zentrum für Molekulare Medizin
Subjects:	Medical sciences Medicine
Uncontrolled Keywords:	Keywords Language lung cancer ; NSCLC ; AI ; algorithm ; subtyping ; prognosis English
['eprint_fieldname_oa_funders' not defined]:	Publikationsfonds UzK
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/81438