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Record W2725653968 · doi:10.1158/1078-0432.ccr-17-0174

FDG PET and FES PET Predict PFS on Endocrine Therapy—Letter

2017· letter· en· W2725653968 on OpenAlexaff
David Groheux, François Bénard

Bibliographic record

VenueClinical Cancer Research · 2017
Typeletter
Languageen
FieldMedicine
TopicMedical Imaging Techniques and Applications
Canadian institutionsUniversity of British ColumbiaBC Cancer Agency
Fundersnot available
KeywordsMedicineStandardized uptake valueFluorodeoxyglucoseNuclear medicinePositron emission tomographyHormonal therapyCancerMetastatic breast cancerPredictive valueBreast cancerProgression-free survivalOncologyInternal medicineOverall survivalRadiology

Abstract

fetched live from OpenAlex

We read with interest the study by Kurland and colleagues (1) that was recently published in Clinical Cancer Research. They evaluated the ability of 18F-fluorodeoxyglucose (FDG) PET and 18F-fluoroestradiol (FES) PET to predict progression-free survival (PFS) in 84 patients treated by salvage endocrine therapy for luminal metastatic breast cancer (MBC).Previous studies suggested that FES PET imaging performed at a single time point before beginning a novel line of endocrine therapy could be helpful to predict response in patients with pretreated luminal MBC (2, 3). In those studies, a defined cutoff [value of 1.5 (2) or 2 (3)] for the standardized uptake values (SUV) was applied to separate tumors sensitive to the treatment (high SUV values) from those who are resistant (low SUV values).Unfortunately, in the study from Kurland and colleagues, none of the qualitative or quantitative parameters measured on FES PET imaging performed before beginning the hormonal therapy was predictive of PFS. On the opposite, FDG uptake was a good indicator of patient's outcome with shorter PFS in the case of metastases with high FDG uptake. Similarly, in the case of patients with luminal tumors without pretreatment, FDG uptake measured at a single time point before neoadjuvant chemotherapy (4) or before initial surgery (5) has been associated with patient's survival. These results suggest that FDG PET is more likely to predict outcome than the FES PET does.However, in the study from Kurland and colleagues, although FES PET was not predictive of patient's survival in the whole population, this imaging was of interest to better stratify the patients having high FDG uptake. Finally, three subgroups were identified: those with a good prognosis (in the case of tumors with low FDG uptake), those with a bad prognosis (tumor with high FDG uptake and low FES uptake), and those with an intermediate prognosis (tumor with high FDG uptake and high FES uptake).In conclusion, although previous studies showed that FES PET was a good indicator of response to endocrine therapy, the study from Kurland suggests that FES imaging has limited value in terms of prognosis. FDG imaging seems more helpful than FES PET to predict patient outcome. Nevertheless, FES imaging could be of interest in addition to FDG PET. The predictive and prognostic value of the two PET imaging and their additional role need to be investigated in a multicenter prospective study with a larger cohort of patients.See the Response, p. 3475No potential conflicts of interest were disclosed.

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)0.004
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.004
Open science0.0020.001
Research integrity0.0150.018
Insufficient payload (model declined to judge)0.0020.002

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 head0.373
GPT teacher head0.591
Teacher spread0.218 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations0
Published2017
Admission routes1
Has abstractyes

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