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Record W4414042507 · doi:10.1016/j.radonc.2025.111135

Delineation of the post-operative primary tumour and nodal clinical target volumes in oral cavity squamous cell carcinoma: European Society for Radiotherapy and Oncology (ESTRO) clinical guidelines

2025· review· en· W4414042507 on OpenAlexaff
Mererid Evans, Pierluigi Bonomo, Po Chung Chan, Melvin L.K. Chua, Jesper Grau Eriksen, Keith D. Hunter, Kenneth Jensen, Terence M. Jones, Sarbani Ghosh Laskar, Roberto Maroldi, Claire Paterson, Luca Tagliaferri, Silke Tribius, Sue S. Yom, Vincent Grégoire

Bibliographic record

VenueRadiotherapy and Oncology · 2025
Typereview
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsPrincess Margaret Cancer CentreSurgical Specialties (Canada)
Fundersnot available
KeywordsRadiation therapyHead and neckAuditQuality assuranceRadiation oncologyConsistency (knowledge bases)Clinical PracticeOral cavity

Abstract

fetched live from OpenAlex

BACKGROUND AND PURPOSE: To date, no consensus guidelines have been published that systematically guide delineation of primary and nodal Clinical Target Volumes (CTVs) in patients who require post-operative radiotherapy (PORT) for mucosal Head and Neck squamous cell carcinoma (HNSCC). As a result, significant individual, institutional and national variation exists in the way that CTVs are delineated in the post-operative setting, leading to considerable heterogeneity in radiotherapy treatment. METHODS: A multi-disciplinary group of experts convened by the European Society for Radiotherapy and Oncology (ESTRO) set-out principles for the multi-disciplinary management of oral cavity squamous cell carcinoma (OCSCC). Building on these, and adapting the geometric expansion approach described in previous primary CTV delineation guidelines, new consensus guidelines for the delineation of post-operative CTVs, both for the primary tumour and nodal regions, were proposed by the expert group, before being shared with a second tier of international experts to ensure their worldwide acceptability and applicability. RESULTS: These guidelines propose that surrogate volumes representing the resected primary and nodal Gross Tumour Volumes (GTV-P and GTV-N respectively) are re-created on the radiotherapy planning scan, either by registration with diagnostic imaging or via reference to anatomical landmarks. A post-operative CTV for the primary tumour (CTV-P) is created as a composite volume that includes: i) geometric expansion around the surrogate GTV-P, and ii) geometric expansion around the surgical defect and/or reconstruction flap. A post-operative CTV for the nodal region (CTV-N) is created as a composite volume that includes: i) geometric expansion around the surrogate GTV-N, and ii) the involved nodal level (CTV-N1). Guidelines for delineating at-risk nodal levels in a prophylactic dose CTV (CTV-N2) are included, and for making decisions regarding the need for unilateral and/or bilateral neck treatment. CONCLUSIONS: Implementation of these guidelines into clinical practice should reduce variation, and by promoting consistency of approach, facilitate multi-institutional audits and clinical trials including Radiation Therapy Quality Assurance (RTQA) in patients with OCSCC. It is anticipated that they will form the basis for future guidelines aiming to standardise post-operative CTV delineation in other head and neck subsites.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.019
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.102

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.021
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0040.002
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0050.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.084
GPT teacher head0.453
Teacher spread0.368 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

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