Academic Journal
Prediction of Clinical Outcomes with Explainable Artificial Intelligence in Patients with Chronic Lymphocytic Leukemia
| العنوان: | Prediction of Clinical Outcomes with Explainable Artificial Intelligence in Patients with Chronic Lymphocytic Leukemia |
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| المؤلفون: | Hoffmann, Joerg, Eminovic, Semil, Wilhelm, Christian, Krause, Stefan W., Neubauer, Andreas, Thrun, Michael C., Ultsch, Alfred, Brendel, Cornelia |
| سنة النشر: | 2023 |
| المجموعة: | OPUS FAU - Online publication system of Friedrich-Alexander-Universität Erlangen-Nürnberg |
| مصطلحات موضوعية: | ddc:610 |
| الوصف: | Background: The International Prognostic Index (IPI) is applied to predict the outcome of chronic lymphocytic leukemia (CLL) with five prognostic factors, including genetic analysis. We investigated whether multiparameter flow cytometry (MPFC) data of CLL samples could predict the outcome by methods of explainable artificial intelligence (XAI). Further, XAI should explain the results based on distinctive cell populations in MPFC dot plots. Methods: We analyzed MPFC data from the peripheral blood of 157 patients with CLL. The ALPODS XAI algorithm was used to identify cell populations that were predictive of inferior outcomes (death, failure of first-line treatment). The diagnostic ability of each XAI population was evaluated with receiver operating characteristic (ROC) curves. Results: ALPODS defined 17 populations with higher ability than the CLL-IPI to classify clinical outcomes (ROC: area under curve (AUC) 0.95 vs. 0.78). The best single classifier was an XAI population consisting of CD4+ T cells (AUC 0.78; 95% CI 0.70–0.86; p < 0.0001). Patients with low CD4+ T cells had an inferior outcome. The addition of the CD4+ T-cell population enhanced the predictive ability of the CLL-IPI (AUC 0.83; 95% CI 0.77–0.90; p < 0.0001). Conclusions: The ALPODS XAI algorithm detected highly predictive cell populations in CLL that may be able to refine conventional prognostic scores such as IPI. |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| Relation: | https://opus4.kobv.de/opus4-fau/frontdoor/index/index/docId/21834; urn:nbn:de:bvb:29-opus4-218347; https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-218347; https://doi.org/10.3390/curroncol30020148; https://opus4.kobv.de/opus4-fau/files/21834/curroncol-30-00148-v2.pdf |
| DOI: | 10.3390/curroncol30020148 |
| الاتاحة: | https://opus4.kobv.de/opus4-fau/frontdoor/index/index/docId/21834 https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-218347 https://doi.org/10.3390/curroncol30020148 https://opus4.kobv.de/opus4-fau/files/21834/curroncol-30-00148-v2.pdf |
| Rights: | https://creativecommons.org/licenses/by/4.0/deed.de ; info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.D13A1BDB |
| قاعدة البيانات: | BASE |
| DOI: | 10.3390/curroncol30020148 |
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