Concordance in the estimation of tumor percentage in non-small cell lung cancer using digital pathology
Abstract The incorporation of digital pathology in clinical practice will require the training of pathologists in digital skills. Our study aimed to assess the reliability among pathologists in determining tumor percentage in whole slide images (WSI) of non-small cell lung cancer (NSCLC) using digit...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-10-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-75175-w |
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| author | Irene Carretero-Barrio Lara Pijuan Adrián Illarramendi Daniel Curto Fernando López-Ríos Ángel Estébanez-Gallo Josep Castellvi Sofía Granados-Aparici Desamparados Compañ-Quilis Rosa Noguera Isabel Esteban-Rodríguez Ignacio Sánchez-Güerri Ana Delia Ramos-Guerra Juan Enrique Ortuño Pilar Garrido María Jesús Ledesma-Carbayo Amparo Benito José Palacios |
| author_facet | Irene Carretero-Barrio Lara Pijuan Adrián Illarramendi Daniel Curto Fernando López-Ríos Ángel Estébanez-Gallo Josep Castellvi Sofía Granados-Aparici Desamparados Compañ-Quilis Rosa Noguera Isabel Esteban-Rodríguez Ignacio Sánchez-Güerri Ana Delia Ramos-Guerra Juan Enrique Ortuño Pilar Garrido María Jesús Ledesma-Carbayo Amparo Benito José Palacios |
| author_sort | Irene Carretero-Barrio |
| collection | DOAJ |
| description | Abstract The incorporation of digital pathology in clinical practice will require the training of pathologists in digital skills. Our study aimed to assess the reliability among pathologists in determining tumor percentage in whole slide images (WSI) of non-small cell lung cancer (NSCLC) using digital image analysis, and study how the results correlate with the molecular findings. Pathologists from nine centers were trained to quantify epithelial tumor cells, tumor-associated stromal cells, and non-neoplastic cells from NSCLC WSI using QuPath. Then, we conducted two consecutive ring trials. In the first trial, analyzing four WSI, reliability between pathologists in the assessment of tumor cell percentage was poor (intraclass correlation coefficient (ICC) 0.09). After performing the first ring trial pathologists received feedback. The second trial, comprising 10 WSI with paired next-generation sequencing results, also showed poor reliability (ICC 0.24). Cases near the recommended 20% visual threshold for molecular techniques exhibited higher values with digital analysis. In the second ring trial reliability slightly improved and human errors were reduced from 5.6% to 1.25%. Most discrepancies arose from subjective tasks, such as the annotation process, suggesting potential improvement with future artificial intelligence solutions. |
| format | Article |
| id | doaj-art-a9844491cfaf44f3a06678590667aee4 |
| institution | OA Journals |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-a9844491cfaf44f3a06678590667aee42025-08-20T02:17:45ZengNature PortfolioScientific Reports2045-23222024-10-0114111110.1038/s41598-024-75175-wConcordance in the estimation of tumor percentage in non-small cell lung cancer using digital pathologyIrene Carretero-Barrio0Lara Pijuan1Adrián Illarramendi2Daniel Curto3Fernando López-Ríos4Ángel Estébanez-Gallo5Josep Castellvi6Sofía Granados-Aparici7Desamparados Compañ-Quilis8Rosa Noguera9Isabel Esteban-Rodríguez10Ignacio Sánchez-Güerri11Ana Delia Ramos-Guerra12Juan Enrique Ortuño13Pilar Garrido14María Jesús Ledesma-Carbayo15Amparo Benito16José Palacios17Department of Pathology, Hospital Universitario Ramón y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS)Department of Pathology, Hospital Universitari BellvitgeDepartment of Pathology, Hospital Universitario 12 de OctubreDepartment of Pathology, Hospital Universitario 12 de OctubreCIBERONCDepartment of Pathology, Hospital Universitario Marqués de ValdecillaCIBERONCCIBERONCDepartment of Pathology, Hospital Clínico Universitario de ValenciaCIBERONCDepartment of Pathology, Hospital Universitario La PazDepartment of Pathology, Hospital del MarCIBER-BBN, ISCIIICIBER-BBN, ISCIIIFaculty of Medicine, Universidad de AlcaláCIBER-BBN, ISCIIIDepartment of Pathology, Hospital Universitario Ramón y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS)Department of Pathology, Hospital Universitario Ramón y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS)Abstract The incorporation of digital pathology in clinical practice will require the training of pathologists in digital skills. Our study aimed to assess the reliability among pathologists in determining tumor percentage in whole slide images (WSI) of non-small cell lung cancer (NSCLC) using digital image analysis, and study how the results correlate with the molecular findings. Pathologists from nine centers were trained to quantify epithelial tumor cells, tumor-associated stromal cells, and non-neoplastic cells from NSCLC WSI using QuPath. Then, we conducted two consecutive ring trials. In the first trial, analyzing four WSI, reliability between pathologists in the assessment of tumor cell percentage was poor (intraclass correlation coefficient (ICC) 0.09). After performing the first ring trial pathologists received feedback. The second trial, comprising 10 WSI with paired next-generation sequencing results, also showed poor reliability (ICC 0.24). Cases near the recommended 20% visual threshold for molecular techniques exhibited higher values with digital analysis. In the second ring trial reliability slightly improved and human errors were reduced from 5.6% to 1.25%. Most discrepancies arose from subjective tasks, such as the annotation process, suggesting potential improvement with future artificial intelligence solutions.https://doi.org/10.1038/s41598-024-75175-w |
| spellingShingle | Irene Carretero-Barrio Lara Pijuan Adrián Illarramendi Daniel Curto Fernando López-Ríos Ángel Estébanez-Gallo Josep Castellvi Sofía Granados-Aparici Desamparados Compañ-Quilis Rosa Noguera Isabel Esteban-Rodríguez Ignacio Sánchez-Güerri Ana Delia Ramos-Guerra Juan Enrique Ortuño Pilar Garrido María Jesús Ledesma-Carbayo Amparo Benito José Palacios Concordance in the estimation of tumor percentage in non-small cell lung cancer using digital pathology Scientific Reports |
| title | Concordance in the estimation of tumor percentage in non-small cell lung cancer using digital pathology |
| title_full | Concordance in the estimation of tumor percentage in non-small cell lung cancer using digital pathology |
| title_fullStr | Concordance in the estimation of tumor percentage in non-small cell lung cancer using digital pathology |
| title_full_unstemmed | Concordance in the estimation of tumor percentage in non-small cell lung cancer using digital pathology |
| title_short | Concordance in the estimation of tumor percentage in non-small cell lung cancer using digital pathology |
| title_sort | concordance in the estimation of tumor percentage in non small cell lung cancer using digital pathology |
| url | https://doi.org/10.1038/s41598-024-75175-w |
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