Evidence map›Paper›PMID 41868686›Full record

ArticleAmerican journal of nuclear medicine and molecular imaging2026

Perspectives of positron emission tomography with 2-deoxy-2-fluorine-18-flu-d-glucose (18fdg-pet) in predicting the histological response of high grade epithelial ovarian cancer to neoadjuvant chemotherapy. A primary descriptive study.

Michele Lamuraglia, Khadija Benali, Margot Bucau, Thuy Nguyen, Pablo Estevez, Alain Giron, Stephane Culine

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Article in American journal of nuclear medicine and molecular imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Michele LamuragliaSorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB Paris 75006, France.
Khadija BenaliAP-HP, Bichat, Oncology Unit 46 Rue Henri Huchard, Paris 75018, France.
Margot BucauAP-HP, Bichat, Oncology Unit 46 Rue Henri Huchard, Paris 75018, France.
Thuy NguyenAP-HP, Louis-Mourier, Oncology Unit 178 Rue des Renouillers, Colombes 92700, France.
Pablo EstevezAP-HP, Bichat, Oncology Unit 46 Rue Henri Huchard, Paris 75018, France.
Alain GironSorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB Paris 75006, France.
Stephane CulineAP-HP, Hôpital Saint Louis, Oncology Unit 1 Avenue Claude Vellefaux, Paris 75010, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer (OC) was most often diagnosed at an advanced stage due to poor symptoms, the lack of an effective screening method and the limitations of examinations for the early detection of the disease. Sadly, the surgical approach is not possible for all patients, therefore the neoadjuvant chemotherapy (NACT) was a good standard approach before the complete cytoreduction. Currently we don't have indisputable and definitive directives about tools to predict the anatomopathological response. This study investigates the potential of 18FDG-PET in predicting the histological response in high grade epithelial OC before NACT treatment. Ten advanced primarily inoperable OC patients treated with NACT were recruited into this prospective study, then 4 patients could be eligible to analyze, with 12 target lesions eligible to comparative analyses with 18FDG-PET against histological analyses. All patients after NACT presented clinical and biological responses, with normalization of CA 125. Four patients, with 12 resections specimens identified to corresponding 18F-FDG-PET/CT imagery, had showed concordant aspects of response. This preliminary study has demonstrated the role in predictive response of 18FDG-PET, but the complexity in comparative analyses of morpho-functional imagery and histological study includes many difficulties. Thus, to obtain statistically robust results, a large-scale study must be conducted, based on these very encouraging results.

Indexed as

18FDG-PETCA 125CA-125 KELIMcell viabilityCRSneo-adjuvant treatmentOvarian cancer

Identifiers

PMID41868686
PMCPMC13003227

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.