Radiomics analysis for predicting pembrolizumab response in patients with advanced rare cancers

Rivka R Colen; Christian Rolfo; Murat Ak; Mira Ayoub; Sara Ahmed; Nabil Elshafeey; Priyadarshini Mamindla; Pascal O Zinn; Chaan Ng; Raghu Vikram; Spyridon Bakas; Christine B Peterson; Jordi Rodon Ahnert; Vivek Subbiah; Daniel D Karp; Bettzy Stephen; Joud Hajjar; Aung Naing

doi:10.1136/jitc-2020-001752

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Clinical/translational cancer immunotherapy

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Radiomics analysis for predicting pembrolizumab response in patients with advanced rare cancers

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Rivka R Colen Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USAHillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA PubMed articles Google scholar articles
Christian Rolfo Department of Thoracic Medical Oncology, University of Maryland, Baltimore, Maryland, USA PubMed articles Google scholar articles
Murat Ak Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USAHillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA PubMed articles Google scholar articles
Mira Ayoub Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USAHillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA PubMed articles Google scholar articles
Sara Ahmed Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA PubMed articles Google scholar articles
Nabil Elshafeey Department of Breast Imaging, Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA PubMed articles Google scholar articles
Priyadarshini Mamindla Hillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA PubMed articles Google scholar articles
Pascal O Zinn Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA PubMed articles Google scholar articles
Chaan Ng Abdominal Imaging Department, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA PubMed articles Google scholar articles
Raghu Vikram Abdominal Imaging Department, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA PubMed articles Google scholar articles
Spyridon Bakas Radiology, Pathology, and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA PubMed articles Google scholar articles
Christine B Peterson Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA PubMed articles Google scholar articles
Jordi Rodon Ahnert Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA PubMed articles Google scholar articles
Vivek Subbiah Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA PubMed articles Google scholar articles
Daniel D Karp Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA PubMed articles Google scholar articles
Bettzy Stephen Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA PubMed articles Google scholar articles
Joud Hajjar Section of Immunology, Allergy and Retrovirology, Baylor College of Medicine, Houston, Texas, USAWilliam T Shearer Center for Human Immunobiology, Texas Children’s Hospital, Houston, Texas, USA PubMed articles Google scholar articles
Aung Naing Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA PubMed articles Google scholar articles

Citation

Colen RR, Rolfo C, Ak M, et al

Radiomics analysis for predicting pembrolizumab response in patients with advanced rare cancers

Journal for ImmunoTherapy of Cancer 2021;9:e001752. doi: 10.1136/jitc-2020-001752

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May 06, 2021

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© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See http://creativecommons.org/licenses/by-nc/4.0/.

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