L’Imperio, V., Capitoli, G., Cazzaniga, G. et al. (20 more authors) (2025) The routine use of a digital tool for the tumor cell fraction quantification in molecular pathology: an international validation of QuANTUM. Pathologica, 117 (3). pp. 269-277. ISSN: 0031-2983
Abstract
Objective. The absolute and relative quantification of tumor cell fraction (TCF) in tissue samples for molecular pathology testing is time-consuming and poorly reproducible.
Methods. Here we report the results of an international survey on non-small cell lung cancer (NSCLC), validating the Qupath Analysis of Nuclei from Tumor to Uniform Molecular tests (QuANTUM) automated computational pipeline for TCF quantification.
Results. The TCF obtained with QuANTUM is reliable, as demonstrated by the comparison with the manual counting of cells (ground truth, GT) in cell blocks, small biopsies and surgical specimens (overall correlation of 0.89). The visual evaluation of QuANTUMprocessed images increased the pathologists’ agreement with GT and QuANTUM of +0.16, +0.21, +0.09 and +0.17, +0.29, +0.21 across the three sample types, respectively. An overall increase in cases classified as containing ≥100 tumor cells for all sample types was noted after QuANTUM (from 75 cases, 63% to 96 cases, 80% among cell blocks, p = 0.003).
Conclusions. QuANTUM is an easy-to-use and reliable tool for the TCF assessment and its employment significantly modifies the visual estimation by pathologists, improving the assessment of NSCLC cases for molecular analysis
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Copyright by Società Italiana di Anatomia Patologica e Citopatologia Diagnostica, Divisione Italiana della International Academy of Pathology. This is an open access journal distributed in accordance with the CC-BY-NC-ND (Creative Commons AttributionNonCommercial-NoDerivatives 4.0 International) license: the work can be used by mentioning the author and the license, but only for non-commercial purposes and only in the original version. For further information: https://creativecommons. org/licenses/by-nc-nd/4.0/deed.en |
Keywords: | PMMP SIAPEC collaborators; Humans; Carcinoma, Non-Small-Cell Lung; Lung Neoplasms; Cell Count; Reproducibility of Results; Pathology, Molecular |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Clinical Dentistry (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 08 Aug 2025 14:26 |
Last Modified: | 08 Aug 2025 14:26 |
Status: | Published |
Publisher: | Siapec Servizi Srl |
Refereed: | Yes |
Identification Number: | 10.32074/1591-951x-1100 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:230125 |