Comprehensive Analysis of Tumour Sub-Volumes for Radiomic Risk Modelling in Locally Advanced HNSCC.

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.

Who cites it

14 citing papers in PubMed, 30 citations in OpenAlex.

1. A clinical-radiomics model based on MRI sub-regions of gluteus maximus for recurrence prediction in high-grade serous ovarian cancer.Abdominal radiology (New York) · 2026
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2. AutoFRS: an externally validated, annotation-free approach to computational preoperative complication risk stratification in pancreatic surgery - an experimental study.International journal of surgery (London, England) · 2025
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3. End-to-end prediction of clinical outcomes in head and neck squamous cell carcinoma with foundation model-based multiple instance learning.BMC artificial intelligence · 2025
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4. Radiomics-based prediction of local control in patients with brain metastases following postoperative stereotactic radiotherapy.Neuro-oncology · 2024
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5. The importance of planning CT-based imaging features for machine learning-based prediction of pain response.Scientific reports · 2023
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6. Prediction of clinically relevant postoperative pancreatic fistula using radiomic features and preoperative data.Scientific reports · 2023
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7. Dosiomics and radiomics to predict pneumonitis after thoracic stereotactic body radiotherapy and immune checkpoint inhibition.Frontiers in oncology · 2023
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8. The Potential of a CT-Based Machine Learning Radiomics Analysis to Differentiate Brucella and Pyogenic Spondylitis.Journal of inflammation research · 2023
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9. The image-based preoperative fistula risk score (preFRS) predicts postoperative pancreatic fistula in patients undergoing pancreatic head resection.Scientific reports · 2022
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10. Radial Data Mining to Identify Density-Dose Interactions That Predict Distant Failure Following SABR.Frontiers in oncology · 2022
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11. Exploratory ensemble interpretable model for predicting local failure in head and neck cancer: the additive benefit of CT and intra-treatment cone-beam computed tomography features.Quantitative imaging in medicine and surgery · 2021
    Article
12. A Prospectively Validated Prognostic Model for Patients with Locally Advanced Squamous Cell Carcinoma of the Head and Neck Based on Radiomics of Computed Tomography Images.Cancers · 2021
    Article
13. Computer-aided diagnosis and regional segmentation of nasopharyngeal carcinoma based on multi-modality medical images.International journal of computer assisted radiology and surgery · 2021
    Article
14. Prognostic Assessment in High-Grade Soft-Tissue Sarcoma Patients: A Comparison of Semantic Image Analysis and Radiomics.Cancers · 2021
    Article

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

Authors and funding

23 authors at 4 institutions in 2 countries.

Funding

No grant is acknowledged in the PubMed record.

Abstract

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