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Record W7162800000 · doi:10.1055/s-0044-1798306

HYPOFRACTIONATED RADIOTHERAPY TO THE PROSTATE BED WITH INTENSITY MODULATED RADIATION THERAPY (IMRT): A PHASE II STUDY

2019· article· en· W7162800000 on OpenAlexaff
Elton Trigo Teixeira Leite, Clarissa Cerchi Angotti Ramos, Bernardo Salvajoli, João Victor Salvajoli, Fabio Ynoe de Moraes

Bibliographic record

VenueBrazilian Journal of Oncology · 2019
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Diagnosis and Treatment
Canadian institutionsQueen's University
Fundersnot available
KeywordsRadiation therapyProstateProstate cancerIntensity (physics)Phase (matter)

Abstract

fetched live from OpenAlex

All articles of this category (opens in new window) Introduction: Prostate cancer (Pca) management can include radical prostatectomy (RP) plus or minus radiotherapy (RT). Post-operative, radiotherapy is prescribed in the adjuvant setting or in case of biochemical failure (salvage treatment). Historically, RT is delivered using conventional doses (1.82 Gy /day), to a total of 647OGy to the prostate surgical bed. Hypofractionated RT has been demonstrated to be safe and effective in the treatment of intact Pca, but RT use in the post-operative setting lack of high-quality evidence. The current study aims to evaluate the safety and effectiveness of hipofractionated RT in the post-operative setting (the prostate bed). Methods: This is an interim analysis (follow up and accrual not completed) of phase II trial of Pca patients submitted to RP and adjuvant or salvage RT. The radiation treatment was delivered using volumetric arch and image guided RT technique to a dose of 51 Gy in 15 fractions. The primary goal was to evaluate grade ≥ 2 acute urinary (GU) toxicity. Sample calculation was based on an incidence of GU toxicity of 15% with an calculated IC of 9% (6-24%). This resulted in a sample size of 61 patients. The study secondary objectives were biochemical recurrence free survival, metastasis free survival, time to hormone therapy, and overall survival. Additional objectives were gastrointestinal toxicities (GI), late GI and GU toxicities, and quality of life measurements, (using EPIC), before RT, 3, 6, 12 and 24 months after RT. Results: Sixty-one patients were enrolled in the study. Three percent presented with low risk, 13 % intermediate and 84% with high risk disease. Fifty six patients underwent salvage RT and 5 adjuvant RT. Average pre-treatment PSA was 0.27ng/mL (0.08-0.47). Median follow up is 8 months (2-23). The rate of grade ≥ 2 GU acute toxicity was 10.8% and 1 patient had urinary retention. Grade ≥ 2 acute GI toxicity rate was 13%. During follow up time, only 1 patient had biochemical failure and no distant metastasis. Post-RT PSA value diminished in 95.6% patients and average PSA value was 0.01 ng/mL (<0.003-1.18). All grades late GU, and GI toxicities rates were both 2.5%. Conclusions: In this interim analysis, hypofractionated RT to the prostate bed is reported to be a safe and effective strategy for Pca patients submitted to RP and adjuvant or salvage RT. Publication History Article published online: 23 October 2019 © 2019. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution 4.0 International License, permitting copying and reproduction so long as the original work is given appropriate credit (https://creativecommons.org/licenses/by/4.0/) Thieme Revinter Publicações Ltda. Rua do Matoso 170, Rio de Janeiro, RJ, CEP 20270-135, Brazil Bibliographical Record Elton Trigo Teixeira Leite, Clarissa Cerchi Angotti Ramos, Bernardo Peres Salvajoli, João Victor Salvajoli, Fabio Ynoe de Moraes. HYPOFRACTIONATED RADIOTHERAPY TO THE PROSTATE BED WITH INTENSITY MODULATED RADIATION THERAPY (IMRT): A PHASE II STUDY. Brazilian Journal of Oncology 2019; 15. DOI: 10.1055/s-0044-1798306

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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.018
GPT teacher head0.331
Teacher spread0.314 · 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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Citations0
Published2019
Admission routes1
Has abstractno

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