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Transoral robotic surgery (TORS)-guided radiotherapy (RT) volume de-intensification in p16-positive unknown primary squamous cell carcinoma (SCC) of the neck: A phase 2 trial (FIND).

2022· article· en· W4293074253 on OpenAlexaff
John R. de Almeida, David P. Goldstein, Rosemary Martino, Jie Su, Ali Hosni, Scott V. Bratman, Douglas B. Chepeha, John Waldron, Ilan Weinreb, Bayardo Perez‐Ordoñez, Eugene Yu, Ur Metser, Aaron R. Hansen, Wei Xu, John Kim

Bibliographic record

VenueJournal of Clinical Oncology · 2022
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsUniversity Health NetworkUniversity of TorontoPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineTonsilSwallowingRadiation therapyTransoral robotic surgeryNeck dissectionDysphagiaHead and neck cancerSurgeryBasal cellCancerNuclear medicineInternal medicine

Abstract

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6067 Background: TORS has improved the likelihood of identifying an oropharyngeal cancer for patients presenting with unknown primary. We evaluate the oncologic and functional outcomes after reduction of RT volumes based on TORS findings. Methods: Patients with p16-positive, neck SCC (cN1-N3) with no primary on examination and CT/MRI were included between 08/2017 and 12/2019. All patients underwent PET-CT, surgical evaluation with either therapeutic intent including neck dissection for cN1 without extranodal extension (Group 1, n=9) or diagnostic intent (Group 2, n=13). Patients underwent excision of palatine tonsil (PT) followed by lingual tonsil (LT), if the PT was negative, or excision of PET-CT avid regions. Pharyngeal-sparing radiotherapy (PSRT) was given when no primary was found (pT0) and for primaries completely excised (margins >= 3mm). Unilateral neck radiotherapy (UNRT) was given for lateralized (>1 cm from midline) primaries or pT0 with unilateral disease. The primary outcome was 2-year out-of-treated volume failures (OTVF). Swallowing-related quality of life (SR-QOL) was measured using MD Anderson Dysphagia Inventory (MDADI) composite score. A sample size of 22 was required assuming OTVF cannot exceed 15% (vs. 1% historical), power of 0.8, alpha of 0.05 (one-sided), and loss to follow-up of 10%. Results: All 22 patients [median age 60 (46-68); 86% male; 86% N1, 9% N2, 5% N3] underwent surgical evaluation. PET-CT showed suspicious findings in 12 (55%) [sensitivity = 0.44, specificity = 0.29]. Excision of PT and LT were performed in 14 (64%) and 14 (64%) patients respectively; and 8 (36%) had previous PT. Oropharyngeal primaries were found in 17 patients (77%) [14 (64%) single primary, 3 (13%) two primaries]. RT volume de-intensification was achieved in 11 patients (50%) who had PSRT and 10 (45%) who had UNRT. In Group 1, adjuvant RT was given to 6 (67%) and CRT to 1 (11%). In group 2, 8 (62%) had RT and 5 (38%) had CRT. There were no OTVF, local, or regional failures [median follow-up 29 months]. Two-year OS, DFS, and LRC were 100%, 95%, and 100%. SR-QOL showed good recovery (Table). Grade III/IV surgical as well as acute and late toxicities occurred in 2 (9%), 5 (23%), and 1 (5%) respectively. Conclusions: TORS evaluation for p16-positive unknown primary SCC allowed RT volume de-intensification with excellent disease control and quality of life. Future randomized trials can compare transoral surgery versus existing diagnostic approaches. MDADI composite scores. Clinical trial information: NCT03281499. [Table: see text]

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)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.122
GPT teacher head0.431
Teacher spread0.309 · 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 designNon-randomized trial
Domainnot available
GenreEmpirical

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".

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Citations4
Published2022
Admission routes1
Has abstractyes

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