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Record W4415439219 · doi:10.1302/1358-992x.2025.10.113

SURGICAL RESECTION OF EXTREMITY EWING'S SARCOMA BASED ON POST-CHEMOTHERAPY TUMOUR VOLUME RESULTS IN SAFE MARGINS

2025· article· en· W4415439219 on OpenAlexaff
C. Cristofaro, Pan Wang, Mona Al Faraidy, Nicholas Eastley, Anthony M. Griffin, Peter Ferguson, J.S. Wunder, Kim M. Tsoi

Bibliographic record

VenueOrthopaedic Proceedings · 2025
Typearticle
Languageen
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsOakville Public Library
Fundersnot available
KeywordsSarcomaFibulaHumerusMagnetic resonance imagingChemotherapyScapulaTibiaFemurRetrospective cohort study

Abstract

fetched live from OpenAlex

Neoadjuvant chemotherapy is an integral part of the multimodal treatment approach to Ewing's Sarcoma. While chemotherapy may reduce the tumour volume, the consensus amongst clinicians is that the entire pre-treatment tumour volume should still be resected during surgery to account for any residual, viable, and infiltrative malignant cells. However, this can lead to increased surgical morbidity and functional deficits. Therefore, this study investigated the safety of performing surgical resection for Ewing's Sarcoma based on post-chemotherapy tumour volumes. A single centre retrospective review from a prospectively collected database between 1989 and 2019 was performed. All patients who underwent limb salvage resection of Ewing's sarcoma were included. Patients who underwent radiation therapy or initially presented with local recurrence were excluded. Outcomes of interest were surgical margins along with local recurrence-free and metastatic disease-free intervals, and overall survival. Survival analysis was performed using the Kaplan-Meier technique. A Cox-Regression analysis was performed to identify independent variables that affected the survival analysis. All 40 patients who were eligible for analysis underwent limb salvage resection based on post-chemotherapy magnetic resonance imaging (MRI) planning. The mean age was 26 years (range 13 to 64 years) with 17 males and 23 females. Tumour locations included the femur (n=19), tibia (n=8), scapula (n=5), humerus (n=5), fibula (n=2), and ulna (n=1). Four patients presented with pathologic fracture and four with metastatic disease. Tumour size decreased following chemotherapy in 82% of patients and increased in 18%. Tumour necrosis ≥ 90% was observed in 55% of patients. Twenty-five patients underwent additional postoperative chemotherapy. Complications were observed in 25% of patients including superficial wound infection (n=3), deep infection requiring debridement (n=1), nerve palsy (n=2), allograft fracture (n=1), acute soft tissue flap reconstruction failure (n=1), endoprosthesis bushing wear (n=2). The mean final follow-up was 87 months (range two to 328 months). Surgical margins were negative in all but one patient who had micro-positive margins. Local recurrence was seen in three of 40 patients (8%). Eight of 36 (22%) patients, who initially presented with isolated disease, developed metastatic disease. The five-year local recurrence-free, metastatic disease-free, and overall survival was 91.1%, 75.5%, and 71.8% respectively. Patient age, sex, tumour location, tumour size, response to chemotherapy, and pathologic fracture were not statistically significant for outcomes in the multivariate analysis. The results suggest that the resection of extremity Ewing's sarcoma based on post-chemotherapy tumour volume results in an oncologic outcome comparable to those based on pre-chemotherapy tumour volume. Although further prospective comparative studies are required, the current findings suggest safe surgical margins can be achieved with this approach, potentially allowing for improved soft tissue coverage and functional outcomes.

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)0.000
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 score0.045
Threshold uncertainty score0.900

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.012
GPT teacher head0.270
Teacher spread0.258 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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