Evidence map›Paper›PMID 23417499›Full record

ReviewEuropean journal of nuclear medicine and molecular imaging2013

18F-fluorodihydroxyphenylalanine vs other radiopharmaceuticals for imaging neuroendocrine tumours according to their type.

Sona Balogova, Jean-Noël Talbot, Valérie Nataf, Laure Michaud, Virginie Huchet, Khaldoun Kerrou, Françoise Montravers

Open access · hybridAbstract readReview
In one paragraph

Review in European journal of nuclear medicine and molecular imaging, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
11.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

36 citing papers in PubMed, 126 citations in OpenAlex.

  1. Review
  2. Nuclear medicine and molecular imaging · 2025
    Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. PET/CT and PET/MRI in neuroendocrine neoplasms.Abdominal radiology (New York) · 2022
    Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Advances in the automated synthesis of 6-[EJNMMI radiopharmacy and chemistry · 2021
    Review
  13. Patient external dose rate afterInternational journal of medical sciences · 2021
    Observational
  14. Review
  15. Review
  16. Review
  17. Article
  18. Review
  19. Review
  20. Review
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 at 3 institutions in 2 countries.

Sona BalogovaDepartment of Nuclear Medicine, Comenius University & St. Elisabeth Institute, Bratislava, Slovakia. sona.balogova@tnn.aphp.fr
Jean-Noël Talbot
Valérie Nataf
Laure Michaud
Virginie Huchet
Khaldoun Kerrou
Françoise Montravers
Hôpital Tenon · FRAssistance Publique – Hôpitaux de Paris · FRSorbonne Université · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

6-Fluoro-((18)F)-L-3,4-dihydroxyphenylalanine (FDOPA) is an amino acid analogue for positron emission tomography (PET) imaging which has been registered since 2006 in several European Union (EU) countries and by several pharmaceutical firms. Neuroendocrine tumour (NET) imaging is part of its registered indications. NET functional imaging is a very competitive niche, competitors of FDOPA being two well-established radiopharmaceuticals for scintigraphy, (123)I-metaiodobenzylguanidine (MIBG) and (111)In-pentetreotide, and even more radiopharmaceuticals for PET, including fluorodeoxyglucose (FDG) and somatostatin analogues. Nevertheless, there is no universal single photon emission computed tomography (SPECT) or PET tracer for NET imaging, at least for the moment. FDOPA, as the other PET tracers, is superior in diagnostic performance in a limited number of precise NET types which are currently medullary thyroid cancer, catecholamine-producing tumours with a low aggressiveness and well-differentiated carcinoid tumours of the midgut, and in cases of congenital hyperinsulinism. This article reports on diagnostic performance and impact on management of FDOPA according to the NET type, emphasising the results of comparative studies with other radiopharmaceuticals. By pooling the results of the published studies with a defined standard of truth, patient-based sensitivity to detect recurrent medullary thyroid cancer was 70 % [95 % confidence interval (CI) 62.1-77.6] for FDOPA vs 44 % (95 % CI 35-53.4) for FDG; patient-based sensitivity to detect phaeochromocytoma/paraganglioma was 94 % (95 % CI 91.4-97.1) for FDOPA vs 69 % (95 % CI 60.2-77.1) for (123)I-MIBG; and patient-based sensitivity to detect midgut NET was 89 % (95 % CI 80.3-95.3) for FDOPA vs 80 % (95 % CI 69.2-88.4) for somatostatin receptor scintigraphy with a larger gap in lesion-based sensitivity (97 vs 49 %). Previously unpublished FDOPA results from our team are reported in some rare NET, such as small cell prostate cancer, or in emerging indications, such as metastatic NET of unknown primary (CUP-NET) or adrenocorticotropic hormone (ACTH) ectopic production. An evidence-based strategy in NET functional imaging is as yet affected by a low number of comparative studies. Then the suggested diagnostic trees, being a consequence of the analysis of present data, could be modified, for some indications, by a wider experience mainly involving face-to-face studies comparing FDOPA and (68)Ga-labelled peptides.

Indexed as

Fluorodeoxyglucose F18Radiopharmaceuticals3-IodobenzylguanidineBronchial NeoplasmsCarcinoma, Merkel CellDihydroxyphenylalanineGallium RadioisotopesHumansLung NeoplasmsMultimodal ImagingNeoplasm MetastasisNeuroendocrine TumorsOctreotideRadionuclide ImagingReceptors, SomatostatinRecurrence3-IodobenzylguanidineDihydroxyphenylalanineEdotreotideFluorodeoxyglucose F18fluorodopa F 18Gallium RadioisotopesOctreotideRadiopharmaceuticalsReceptors, Somatostatin

Identifiers

PMID23417499
PMCPMC3644207
OpenAlexW1995435332

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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 OpenQuestion graph.