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Record W4383340958 · doi:10.2967/jnumed.122.265278

[<sup>18</sup>F]FDG PET/CT in the Initial Staging and Restaging of Soft-Tissue or Bone Sarcoma in Patients with Negative or Equivocal Findings for Metastases or Limited Recurrence on Conventional Work-up: Results of a Prospective Multicenter Registry

2023· article· en· W4383340958 on OpenAlexaff
Ur Metser, Roshini Kulanthaivelu, Abdulazeez Salawu, Albiruni Ryan Abdul Razak, Victor Mak, Xuan Li, Deanna L. Langer, Pamela MacCrostie, Amit Singunkar

Bibliographic record

VenueJournal of Nuclear Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsWomen's College HospitalCancer Care OntarioSunnybrook Health Science CentreSinai Health SystemUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineSarcomaSoft tissueNuclear medicineRadiologySoft tissue sarcomaMetastasisPositron emission tomographyCancerPathologyInternal medicine

Abstract

fetched live from OpenAlex

The purpose of this study was to determine the impact of [<sup>18</sup>F]FDG PET/CT on the initial staging, restaging, clinical management, and outcomes of patients with soft-tissue and bone sarcomas. <b>Methods:</b> This single-arm, prospective multicenter registry enrolled 304 patients with 320 [<sup>18</sup>F]FDG PET/CT scans (November 2018 to October 2021). Eligibility included the initial staging of a grade 2 or higher or ungradable soft-tissue or bone sarcoma, with negative or equivocal findings for nodal or distant metastases on conventional imaging before curative-intent therapy, or restaging of patients with a history of treated sarcoma with a suspicion or confirmation of local recurrence or limited metastatic disease who were being considered for curative-intent or salvage therapy. The presence of local recurrence or metastases on [<sup>18</sup>F]FDG PET/CT was recorded. Clinical management after [<sup>18</sup>F]FDG PET/CT compared with pre–[<sup>18</sup>F]FDG PET/CT planned management and quantitative metabolic tumor parameters (SUV<sub>max</sub>, metabolic tumor volume, total lesion glycolysis) were correlated with the outcome data for 171 patients. <b>Results:</b> At the initial staging, [<sup>18</sup>F]FDG PET/CT detected metastases in 17 of 105 patients (16.2%) with no metastases on conventional work-up and confirmed metastases in 44 of 92 patients (47.8%) with equivocal findings for metastases. At the time of restaging, [<sup>18</sup>F]FDG PET/CT detected local recurrence in 37 of 123 patients (30.1%) and distant metastases in 71 of 123 patients (57.7%). Overall, the change in treatment intent and treatment type was recorded in 64 of 171 cases (37.4%) and 56 of 171 cases (32.8%), respectively. The presence of metastases on [<sup>18</sup>F]FDG PET/CT was associated with shorter progression-free survival at the initial staging (<i>P</i> = 0.04) and shorter overall survival at the time of recurrence (<i>P</i> = 0.002). All quantitative metabolic tumor parameters correlated with progression-free survival and overall survival. <b>Conclusion:</b> [<sup>18</sup>F]FDG PET/CT frequently detects additional sites of disease compared with conventional imaging in patients with sarcomas that were being considered for curative-intent or salvage therapy. This increased detection impacts the clinical management in a third of patients referred for initial staging or presumed limited recurrence after primary therapy. The presence of metastases on [<sup>18</sup>F]FDG PET/CT is associated with poorer 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)0.004
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 score0.323
Threshold uncertainty score0.432

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
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 head0.063
GPT teacher head0.348
Teacher spread0.285 · 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

Citations12
Published2023
Admission routes1
Has abstractyes

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