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Two-fraction stereotactic MRI-guided ablative radiotherapy with simultaneous boost to dominant intraprostatic lesion: Results from the 2SMART phase 2 trial.

2023· article· en· W4324136468 on OpenAlexaff
Wee Loon Ong, Patrick Cheung, Hans T. Chung, William Chu, Jay Detsky, Stanley K. Liu, Gerard Morton, Ewa Szumacher, Chia‐Lin Tseng, Danny Vesprini, Melanie Davidson, Ananth Ravi, Merrylee McGuffin, Liying Zhang, Alexandre Mamedov, Andrea Deabreu, Meghan Poon, Andrew Loblaw

Bibliographic record

VenueJournal of Clinical Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Diagnosis and Treatment
Canadian institutionsHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsSABR volatility modelMedicineProstate cancerProstateAblative caseNuclear medicineClinical endpointMagnetic resonance imagingRadiation therapyRadiosurgeryRadiologyUrologyCancerClinical trialInternal medicine

Abstract

fetched live from OpenAlex

349 Background: Prostate stereotactic ablative radiotherapy (SABR) for localised prostate cancer is commonly delivered over 5 fractions. Focal boost to the dominant intraprostatic lesion (DIL) seen on multiparametric magnetic resonance imaging (mpMRI) is an approach for dose-escalation in prostate SABR. This is the first report of the outcomes of the 2SMART trial, a phase 2 single-arm study using 2-fraction prostate SABR with DIL boost. Methods: Men with low to intermediate risk prostate cancer were enrolled in the study. Three gold fiducial markers were inserted for image guidance. The clinical target volume (CTV) included the prostate gland, and the planning target volume (PTV) was a 2mm expansion antero-posterior and laterally, and 2.5mm supero-inferiorly. The DIL was contoured on fused mpMRI. The prescribed dose was 26Gy in 2 fractions (EQD2 110Gy, α/β of 1.4) to the CTV, and up to 32Gy in 2 fractions (EQD2 164Gy) to the DIL as long as the dose constraints for the organs at risks were not exceeded. Each fraction was delivered 1 week apart. Daily image guidance with cone-beam computed tomography was used pre- and post-treatment. The primary endpoint was acute (≤3 months) changes in quality of life (QOL), assessed using the EPIC questionnaire. Minimal clinically important change (MCIC) in QOL was defined as an EPIC score decrease of >0.5 standard deviation of the baseline EPIC score for each domain. Secondary endpoints were acute and late toxicities (assessed using CTCAEv4), and biochemical failure (based on Phoenix criteria). Results: 30 men were enrolled in the study, of which 2 (7%) had low risk and 28 (93%) had intermediate risk prostate cancer. The median follow-up was 44 months (range: 39-49 months). The median PSA nadir was 0.2ng/mL, with median time to nadir of 37 months. One patient (3%) had biochemical failure at 44 months post-treatment. 1 (3%) and 17 (57%) had acute Grade 2 GU and GI toxicities, while 3 (10%) and 15 (50%) had late (>6 months) Grade 2 GU and GI toxicities. No acute or late Grade ≥3 GU or GI was reported. 10 (33%), 6 (20%), and 3 (10%) men had acute MCIC in urinary, bowel and sexual domains respectively. 15 (50%), 9 (30%) and 13 (43%) had late MCIC in urinary, bowel and sexual domain respectively. Conclusions: Two-fraction prostate SABR with DIL boost is a safe approach for dose-escalation for localised prostate cancer, with minimal impact on acute QOL, and no grade 3-4 toxicities. Clinical trial information: NCT03588819 .

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)0.002
metaresearch head score (Gemma)0.001
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 score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.002

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 head0.153
GPT teacher head0.498
Teacher spread0.346 · 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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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