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Adjuvant Radiation for Soft Tissue Sarcomas

2015· review· en· W1921068618 on OpenAlexaff
Colleen Dickie, Rick L. Haas, Brian O’Sullivan

Bibliographic record

VenueAmerican Society of Clinical Oncology Educational Book · 2015
Typereview
Languageen
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsPrincess Margaret Cancer CentreOntario Institute for Cancer Research
Fundersnot available
KeywordsAdjuvant radiotherapySarcomaSoft tissue sarcomaMedicineRadiation therapySoft tissueContext (archaeology)AdjuvantRadiologyAdjuvant therapySurgeryOncologyPathologyChemotherapyBiology

Abstract

fetched live from OpenAlex

Over recent decades, limb-preservation surgery in combination with radiotherapy achieves local control rates exceeding 90% for extremity soft tissue sarcoma (STS). Local control is not as successful for retroperitoneal sarcoma (approximately 60%) despite aggressive surgical approaches including en bloc resection of uninvolved adjacent organs combined with intensity modulated radiotherapy (IMRT). This review will discuss the indications for adjuvant radiation therapy (RT) for primary presentation of soft tissue sarcoma: "What," referring to the type and manner of planning and delivery of RT; "When," referring to the timing and scheduling of RT; and "Why," referring to the rationale for the use of RT will be addressed. From a practical stand point, this Educational Chapter on "adjuvant RT" will focus on pre- and postoperative RT in the context of gross total resection for extremity and retroperitoneal soft tissue sarcoma, the two most frequent paradigms for the use of adjuvant RT.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.746
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.213
GPT teacher head0.558
Teacher spread0.345 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations16
Published2015
Admission routes1
Has abstractyes

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