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Record W4396781338 · doi:10.2967/jnumed.123.267248

<sup>68</sup>Ga-Fibroblast Activation Protein Inhibitor PET/CT Improves Detection of Intermediate and Low-Grade Sarcomas and Identifies Candidates for Radiopharmaceutical Therapy

2024· article· en· W4396781338 on OpenAlexaff
Helena Lanzafame, Ilektra A. Mavroeidi, Kim M. Pabst, Mélanie Desaulniers, Marc Ingenwerth, Nader Hirmas, Lukas Kessler, Michael A. Nader, Timo Bartel, Stephan Leyser, Francesco Barbato, Martin Schüler, Sebastian Bauer, Jens T. Siveke, Ken Herrmann, Rainer Hamacher, Wolfgang P. Fendler

Bibliographic record

VenueJournal of Nuclear Medicine · 2024
Typearticle
Languageen
FieldMedicine
TopicPeptidase Inhibition and Analysis
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsFibroblast activation protein, alphaFibroblastSarcomaCancer researchMedicinePathologyChemistryCancerInternal medicineIn vitroBiochemistry

Abstract

fetched live from OpenAlex

Fibroblast activation protein-α (FAP) is often highly expressed by sarcoma cells and by sarcoma-associated fibroblasts in the tumor microenvironment. This makes it a promising target for imaging and therapy. The level of FAP expression and the diagnostic value of <sup>68</sup>Ga-FAP inhibitor (FAPI) PET for sarcoma subtypes are unknown. We assessed the diagnostic performance and accuracy of <sup>68</sup>Ga-FAPI PET in various bone and soft-tissue sarcomas. Potential eligibility for FAP-targeted radiopharmaceutical therapy (FAP-RPT) was evaluated. <b>Methods:</b> This prospective observational trial enrolled 200 patients with bone and soft-tissue sarcoma who underwent <sup>68</sup>Ga-FAPI PET/CT and <sup>18</sup>F-FDG PET/CT (186/200, or 93%) for staging or restaging. The number of lesions detected and the uptake (SUV<sub>max</sub>) of the primary tumor, lymph nodes, and visceral and bone metastases were analyzed. The Wilcoxon test was used for semiquantitative assessment. The association of <sup>68</sup>Ga-FAPI uptake intensity, histopathologic grade, and FAP expression in sarcoma biopsy samples was analyzed using Spearman <i>r</i> correlation. The impact of <sup>68</sup>Ga-FAPI PET on clinical management was investigated using questionnaires before and after PET/CT. Eligibility for FAP-RPT was defined by an SUV<sub>max</sub> greater than 10 for all tumor regions. <b>Results:</b><sup>68</sup>Ga-FAPI uptake was heterogeneous among sarcoma subtypes. The 3 sarcoma entities with the highest uptake (mean SUV<sub>max</sub> ± SD) were solitary fibrous tumor (24.7 ± 11.9), undifferentiated pleomorphic sarcoma (18.8 ± 13.1), and leiomyosarcoma (15.2 ± 10.2). Uptake of <sup>68</sup>Ga-FAPI versus <sup>18</sup>F-FDG was significantly higher in low-grade sarcomas (10.4 ± 8.5 vs. 7.0 ± 4.5, <i>P</i> = 0.01) and in potentially malignant intermediate or unpredictable sarcomas without a World Health Organization grade (not applicable [NA]; 22.3 ± 12.5 vs. 8.5 ± 10.0, <i>P</i> = 0.0004), including solitary fibrous tumor. The accuracy, as well as the detection rates, of <sup>68</sup>Ga-FAPI was higher than that of <sup>18</sup>F-FDG in low-grade sarcomas (accuracy, 92.2 vs. 80.0) and NA sarcomas (accuracy, 96.9 vs. 81.9). <sup>68</sup>Ga-FAPI uptake and the histopathologic FAP expression score (<i>n</i> = 89) were moderately correlated (Spearman <i>r</i> = 0.43, <i>P</i> &lt; 0.0002). Of 138 patients, 62 (45%) with metastatic sarcoma were eligible for FAP-RPT. <b>Conclusion:</b> In patients with low-grade and NA sarcomas, <sup>68</sup>Ga-FAPI PET demonstrates uptake, detection rates, and accuracy superior to those of <sup>18</sup>F-FDG PET. <sup>68</sup>Ga-FAPI PET criteria identified eligibility for FAP-RPT in about half of sarcoma patients.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score0.426

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.015
GPT teacher head0.294
Teacher spread0.278 · 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 designBench or experimental
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

Citations36
Published2024
Admission routes1
Has abstractyes

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