Semiautomated Pipeline to Quantify Tumor Evolution From Real-World Positron Emission Tomography/Computed Tomography Imaging.

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Bibliographic Details
Title: Semiautomated Pipeline to Quantify Tumor Evolution From Real-World Positron Emission Tomography/Computed Tomography Imaging.
Authors: Abler D; Department of Oncology, Precision Oncology Center, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.; Institute of Informatics, School of Management, University of Applied Sciences Western Switzerland (HES-SO), Sierre, Switzerland., Courlet P; Department of Oncology, Precision Oncology Center, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.; Centre for Research and Innovation in Clinical Pharmaceutical Sciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland., Dietz M; Nuclear Medicine and Molecular Imaging Department, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.; INSERM U1060, CarMeN Laboratory, University of Lyon, Lyon, France., Gatta R; Department of Oncology, Precision Oncology Center, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland., Girard P; Translational Medicine, Merck Institute of Pharmacometrics, Lausanne, Switzerland, an Affiliate of Merck KGaA, Darmstadt, Germany., Munafo A; Translational Medicine, Merck Institute of Pharmacometrics, Lausanne, Switzerland, an Affiliate of Merck KGaA, Darmstadt, Germany., Wicky A; Department of Oncology, Precision Oncology Center, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland., Jreige M; Nuclear Medicine and Molecular Imaging Department, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland., Guidi M; Centre for Research and Innovation in Clinical Pharmaceutical Sciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.; Service of Clinical Pharmacology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland., Latifyan S; Service of Medical Oncology, Department of Oncology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland., De Micheli R; Service of Medical Oncology, Department of Oncology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland., Csajka C; Centre for Research and Innovation in Clinical Pharmaceutical Sciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.; Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, University of Lausanne, Geneva, Switzerland.; School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland., Prior JO; Nuclear Medicine and Molecular Imaging Department, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland., Michielin O; Department of Oncology, Precision Oncology Center, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland., Terranova N; Translational Medicine, Merck Institute of Pharmacometrics, Lausanne, Switzerland, an Affiliate of Merck KGaA, Darmstadt, Germany., Cuendet MA; Department of Oncology, Precision Oncology Center, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.; Swiss Institute of Bioinformatics, University of Lausanne, Lausanne, Switzerland.; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY.
Source: JCO clinical cancer informatics [JCO Clin Cancer Inform] 2023 May; Vol. 7, pp. e2200126.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: American Society of Clinical Oncology Country of Publication: United States NLM ID: 101708809 Publication Model: Print Cited Medium: Internet ISSN: 2473-4276 (Electronic) Linking ISSN: 24734276 NLM ISO Abbreviation: JCO Clin Cancer Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
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