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Record W2159660090 · doi:10.5489/cuaj.890

Histological changes in the human prostate after radiotherapy and salvage high intensity focused ultrasound

2013· article· en· W2159660090 on OpenAlexvenueno aff
Venu Chalasani, Carlos H. Martínez, Andrew K. Williams, Kevin Kwan, Joseph L. Chin

Bibliographic record

VenueCanadian Urological Association Journal · 2013
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineProstate cancerSalvage therapyRadiation therapyHigh-intensity focused ultrasoundConservative managementExternal beam radiotherapyProstateUltrasoundRadiologyUrologySurgeryCancerBrachytherapyChemotherapyInternal medicine

Abstract

fetched live from OpenAlex

The histological changes (both macroscopic and microscopic) in the prostate following the combination of external beam radiotherapy and salvage high intensity focused ultrasound (HIFU) have not been previously described. This article describes the case of a 65-year-old male who presented with recurrent localized prostate cancer after undergoing external beam radiotherapy for low-risk prostate cancer. He was treated with salvage HIFU, and 4 weeks later presented with symptoms and signs consistent with a prostatorectal fistula. During a period of conservative management, his serum prostate-specific antigen levels started rising after having reached a nadir. A radical cystoprostatectomy and repair of fistula were performed after conservative management failed. Histological changes of dense fibrosis were noted in the region where the prostate should have been located. A literature review of the histological findings in the prostate after HIFU is discussed in this article, as well as the available evidence for the management of patients with local failure after the combination of external beam radiotherapy and salvage HIFU.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.229
Teacher spread0.216 · 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 designObservational
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

Citations10
Published2013
Admission routes1
Has abstractyes

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