ArticleCancers2023
Development and External Validation of a PET Radiomic Model for Prognostication of Head and Neck Cancer.
Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 7 citations in OpenAlex.
- Multicollinearity and redundancy of the PET radiomic feature set.European radiology · 2025Article
- Review
- Article
- The prognostic role of MRI-based radiomics in tongue carcinoma: a multicentric validation study.La Radiologia medica · 2024Article
- Article
- Editorial: Nuclear medicine advances through artificial intelligence and intelligent informatics.Frontiers in nuclear medicine · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
20 authors at 13 institutions in 4 countries.
Funding
Abstract
aimTo build and externally validate an [
methodsTwo multicentre datasets of patients with operable HNSCC treated with preoperative afatinib who underwent a baseline and evaluation [
resultsIn both models, the radiomic model surpassed the clinical model with validation C-indices of 0.69 and 0.79 vs. 0.60 and 0.67, respectively. The model that combined the radiomic features and clinical variables performed best, with validation C-indices of 0.71 and 0.82.
conclusionAlthough assessed in two small but independent cohorts, an [
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.