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Record W2594356491 · doi:10.14740/jmc.v8i3.2781

Advantages of Post-Mastectomy Proton Beam Therapy in a Breast Cancer Patient With Pectus Excavatum

2017· article· en· W2594356491 on OpenAlexvenueno aff
Bryeson Rodgers, Dawn E. Jaroszewski, Jonathan B. Ashman, William G. Rule, Terence T. Sio, Sameer R. Keole

Bibliographic record

VenueJournal of Medical Cases · 2017
Typearticle
Languageen
FieldMedicine
TopicPectus Deformity Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePectus excavatumProton therapyMastectomyBreast cancerRadiation therapyDeformityThoracic wallFunnel ChestRadiologySurgeryCancerNuclear medicineInternal medicine

Abstract

fetched live from OpenAlex

Pectus excavatum (PE) is a chest wall deformity that can complicate the delivery of radiation therapy (RT) for breast cancer. This case report highlights the potential benefits of proton beam therapy (PBT) for these patients. We describe a case of a 79-year-old woman with PE who required post-mastectomy chest wall RT. Treatment plans were generated to deliver 45 Gy in 25 fractions with either PBT or conventional conformal photon RT. A 10-Gy boost to the post-mastectomy scar was used for both plans. A dosimetric benefit was observed for organs at risk with the PBT plan compared to the photon plan. PBT reduced mean doses to the lungs by more than 70% and to the heart by greater than 95%. The patient was treated with PBT with minimal acute toxicities. With the challenging chest anatomy of PE, PBT was selected as the treatment of choice for post-mastectomy radiation. The superior dosimetry can decrease the risks of post-treatment cardiac and pulmonary toxicities. J Med Cases. 2017;8(3):98-101 doi: https://doi.org/10.14740/jmc2781w

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score0.531

Codex and Gemma teacher scores by category

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

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 head0.018
GPT teacher head0.325
Teacher spread0.307 · 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 teacher head, 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

Citations2
Published2017
Admission routes1
Has abstractyes

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