Histological tumor necrosis predicts decreased survival after neoadjuvant chemotherapy in head and neck squamous cell carcinoma

Detection of tumor necrosis and AI-driven deep learning effectively predict neoadjuvant RT/CRT responses in HNSCC.

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Publication Details

Journal
Oral Oncology
Published
2025-04-15
DOI
https://doi.org/10.1016/j.oraloncology.2025.107287
Citations
1
Primary Topic
Head and Neck Cancer Studies
Type
article
Field-Weighted Citation Impact
1.85

Funders

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article

Histological tumor necrosis predicts decreased survival after neoadjuvant chemotherapy in head and neck squamous cell carcinoma

Sami Ventelä, Johannes Routila, Tuija Huusko, Maija Hollmén et al.
1 citations
Oral Oncology
Head and Neck Cancer Studies
1.85
article

Histological tumor necrosis predicts decreased survival after neoadjuvant chemotherapy in head and neck squamous cell carcinoma

Sami Ventelä, Johannes Routila, Tuija Huusko, Maija Hollmén, S Jalkanen, Anna-Riina Koskenniemi, Petri J. Vainío
article en
1 citations

Abstract

Detection of tumor necrosis and AI-driven deep learning effectively predict neoadjuvant RT/CRT responses in HNSCC.

Oral OncologyVol. 165
University of Turku (FI), Turku University Hospital (FI)
Suomen Lääketieteen Säätiö, Suomen Kulttuurirahasto, Jane ja Aatos Erkon Säätiö
Openalex Percentile: Top 17%
Head and Neck Cancer Studies
1.85
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Histological tumor necrosis predicts decreased survival after neoadjuvant chemotherapy in head and neck squamous cell carcinoma — Sami Ventelä, Johannes Routila, et al. · Oral Oncology (2025) | TGRS Research Map | TGRS