Informace o publikaci

Outcome Prediction in Older Adults With Head and Neck Cancer Undergoing Chemoradiation

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MARSCHNER Sebastian N LOMBARDO Elia HAEHL Erik BRAUN Susanne KAMP Kristian KUT Carmen HADERLEIN Marlen FABIAN Alexander SENGER Carolin BAKST Benjamin P DICKSTEIN Daniel R LEWITZKI Victor BALIGA Sujith JENS Von Der Grun CHEN Eric MULLER Jorg Andreas SLÁVIK Marek KAZDA Tomáš PIETSCHMANN Klaus HABERMEHL Daniel ZAMBOGLOU Constantinos SCHMIDBERGER Heinz BALERMPAS Panagiotis QUON Harry STROMBERGER Carmen GROSU Anca-Ligia LANDRY Guillaume WALTER Franziska BELKA Claus NICOLAY Nils H RUHLE Alexander

Rok publikování 2025
Druh Článek v odborném periodiku
Časopis / Zdroj JAMA OTOLARYNGOLOGY-HEAD & NECK SURGERY
Fakulta / Pracoviště MU

Lékařská fakulta

Citace
www https://jamanetwork.com/journals/jamaotolaryngology/fullarticle/2841288
Doi https://doi.org/10.1001/jamaoto.2025.3840
Popis QuestionCan artificial neural networks (ANNs) accurately predict overall survival (OS) and progression-free survival (PFS) in older adults with head and neck squamous cell carcinoma (HNSCC) undergoing radiotherapy with concurrent systemic therapy?FindingsIn this cohort study including 898 in the OS analysis and 945 in the PFS analysis, 2 ANNs (1 for OS and 1 for PFS) were developed and externally validated. Both models effectively stratified patients into high-risk and low-risk groups with different survival.MeaningANN-based models using routinely available clinical data may support individualized risk assessment and personalized treatment decisions in older adults with HNSCC.

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