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Date publication

mars 2026

Journal

Annals of oncology : official journal of the European Society for Medical Oncology

Auteurs

Membres identifiés du Cancéropôle Est :
Dr BOULAGNON-ROMBI Camille


Tous les auteurs :
Cheng Y, Azouzi N, Laurent-Bellue A, Guo Z, Chung T, Zeng Q, Ghodsifard A, Albrecht T, Roessler S, Boulagnon-Rombi C, Vij M, Rela M, Akpinar R, Augustin J, Bazille C, Xu S, Kong S, Lechapt-Zalcman E, Tournigand C, Kempf E, Brustia R, Pawlotsky JM, Braconi C, Caruso S, Ziol M, Goeppert B, Di Tommaso L, Park YN, Calderaro J

Résumé

Intrahepatic cholangiocarcinoma (ICCA) is a rare but highly lethal adenocarcinoma arising within the hepatic parenchyma. Diagnosis presents a significant clinical challenge as the histological features of ICCA substantially overlap with those of metastatic liver cancers. This diagnostic ambiguity often necessitates extensive and costly exclusionary investigations, such as upper and lower gastrointestinal endoscopy, to rule out an occult primary site. Consequently, this process results in treatment delays and an increased financial burden on healthcare systems.

Mots clés

Deep learning, artificial intelligence, cholangiocarcinoma, confidence, pathology

Référence

Ann Oncol. 2026 03 4;: