A Growing Hope for Earlier Detection of Pancreatic Cancer

Affiliations

¹ Department of Radiology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts. Electronic address: Michael_Rosenthal@dfci.harvard.edu.
² Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
³ Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.

Editorial

Michael Rosenthal et al. Gastroenterology. 2022 Nov.

. 2022 Nov;163(5):1170-1172.

doi: 10.1053/j.gastro.2022.07.080. Epub 2022 Aug 9.

¹ Department of Radiology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts. Electronic address: Michael_Rosenthal@dfci.harvard.edu.
² Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
³ Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.

No abstract available

Comment on

Radiomics-based Machine-learning Models Can Detect Pancreatic Cancer on Prediagnostic Computed Tomography Scans at a Substantial Lead Time Before Clinical Diagnosis.
Mukherjee S, Patra A, Khasawneh H, Korfiatis P, Rajamohan N, Suman G, Majumder S, Panda A, Johnson MP, Larson NB, Wright DE, Kline TL, Fletcher JG, Chari ST, Goenka AH. Mukherjee S, et al. Gastroenterology. 2022 Nov;163(5):1435-1446.e3. doi: 10.1053/j.gastro.2022.06.066. Epub 2022 Jul 1. Gastroenterology. 2022. PMID: 35788343 Free PMC article.