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01/01/26

Artificial intelligence and radiologists in pancreatic cancer detection using standard of care CT scans (PANORAMA): an international, paired, non-inferiority, confirmatory, observational study.

Alves, Natalia; Schuurmans, Megan; Rutkowski, Dawid; Saha, Anindo; Vendittelli, Pierpaolo; Obuchowski, Nancy; Liedenbaum, Marjolein H; Haldorsen, Ingfrid S; Molven, Anders; Yakar, Derya; Geerdink, Jeroen; van Koeverden, Sebastiaan; Riviere, Deniece M; Venderink, Wulphert; de Haas, Robbert; Kim, Namkug; Löhr, J-Matthias; Suman, Garima; Maier-Hein, Klaus H; Hahn, Horst K; Wang, Weichung; Yuille, Alan L; Kambadakone, Avinash; Fishman, Elliot K; Verbeke, Caroline; Litjens, Geert; Hermans, John J; Huisman, Henkjan; PANORAMA consortium. Lancet Oncol.

Collection Topics
AI and Diagnosis Big Three Conditions Tests, Screening, and Laboratory Processes Equity, Access, and Timeliness
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Summary

AI can enhance diagnostic accuracy, but direct comparisons with radiologists are limited. This study reviews cohorts from the Netherlands and US, finding that AI significantly outperformed radiologists in detecting pancreatic ductal adenocarcinoma on routine CT scans, suggesting potential for earlier cancer detection and better patient outcomes.

Read the paper
Alves N, Schuurmans M, Rutkowski D, et al for the PANORAMA consortium. Artificial intelligence and radiologists in pancreatic cancer detection using standard of care CT scans (PANORAMA): an international, paired, non-inferiority, confirmatory, observational study. Lancet Oncol. 2026;27(1):116-124.