Evidence map›Paper›PMID 35607632›Full record

ArticleNuclear medicine and molecular imaging2022

Prospective F-18 FDOPA PET Imaging Study in Human PD.

Vijay Dhawan, Martin H Niethammer, Martin L Lesser, Karalyn N Pappas, Matthew Hellman, Toni M Fitzpatrick, David Bjelke, Jaskirat Singh, Loreta M Quatarolo, Yoon Young Choi and 3 more

Open access · greenAbstract read
In one paragraph

Article in Nuclear medicine and molecular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Advances in GPCR-Targeted PET Radiotracer Patents (2020-2025).Pharmaceuticals (Basel, Switzerland) · 2026
    Review
  2. Article
  3. Review
  4. Early diagnosis of Parkinson's disease: biomarker study.Frontiers in aging neuroscience · 2025
    Review
  5. Review
  6. Optimization of [AJNR. American journal of neuroradiology · 2024
    Article
  7. Manufacturing 6-[Organic letters · 2024
    Article
  8. Review
  9. Article
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

13 authors at 2 institutions in 1 country.

Vijay DhawanCenter for Neurosciences, Feinstein Institutes for Medical Research, 350 Community Drive, Manhasset, NY USA.
Martin H NiethammerCenter for Neurosciences, Feinstein Institutes for Medical Research, 350 Community Drive, Manhasset, NY USA.
Martin L LesserBiostatistics Unit, Feinstein Institutes for Medical Research, Manhasset, NY USA.
Karalyn N PappasBiostatistics Unit, Feinstein Institutes for Medical Research, Manhasset, NY USA.
Matthew HellmanDepartment of Radiochemistry/Cyclotron, Feinstein Institutes for Medical Research, Manhasset, NY USA.
Toni M FitzpatrickCenter for Neurosciences, Feinstein Institutes for Medical Research, 350 Community Drive, Manhasset, NY USA.
David BjelkeBiostatistics Unit, Feinstein Institutes for Medical Research, Manhasset, NY USA.
Jaskirat SinghDepartment of Radiochemistry/Cyclotron, Feinstein Institutes for Medical Research, Manhasset, NY USA.
Loreta M QuataroloCenter for Neurosciences, Feinstein Institutes for Medical Research, 350 Community Drive, Manhasset, NY USA.
Yoon Young ChoiCenter for Neurosciences, Feinstein Institutes for Medical Research, 350 Community Drive, Manhasset, NY USA.
Alice OhCenter for Neurosciences, Feinstein Institutes for Medical Research, 350 Community Drive, Manhasset, NY USA.
David EidelbergCenter for Neurosciences, Feinstein Institutes for Medical Research, 350 Community Drive, Manhasset, NY USA.
Thomas ChalyDepartment of Radiochemistry/Cyclotron, Feinstein Institutes for Medical Research, Manhasset, NY USA.
Feinstein Institute for Medical Research · USCenter for Neurosciences · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: We present the findings of our final prospective study submitted to the U.S. Food and Drug Administration (FDA) for New Drug Application (NDA) approval for the use of 3,4-dihydroxy-6-[18F]fluoro-l-phenylalanine (F-18 FDOPA) positron emission tomography (PET) imaging for Parkinson's disease (PD). The primary aim was to determine the sensitivity, specificity, and predictive values of F-18 FDOPA PET in parkinsonian patients with respect to clinical standard-of-truth (SOT). Secondary outcomes included the inter-rater reliability, and correlation of quantitative measures for PET with dopaminergic status. Methods: In 68 parkinsonian subjects, F-18 FDOPA PET scan from 80 to 100 min was acquired following a CT scan. Scan images were presented to one expert in F-18 FDOPA image interpretation and two physicians with prior experience in I-123 FPCIT single-photon emission computed tomography image interpretation. Fifty-six subjects completed the study with a follow-up for SOT determination. Image readers were blind to the clinical/quantitative data; SOT clinician was blind to the image data. Results: For 47 of the 56 patients, SOT was in agreement with the PET scan results. For nine patients, SOT suggested dopaminergic deficit, whereas the imaging showed normal uptake. The specificity and positive predictive values are 91% and 92%, respectively, suggesting high probability that those who test positive by the PET scan truly have dopaminergic degeneration. The sensitivity was 73%. Inter-rater agreement was 0.6-0.8 between the different readers. Conclusion: Our prospective study demonstrates high specificity and moderate sensitivity of F-18 FDOPA PET for PD. We received NDA approval in October 2019. Supplementary Information: The online version contains supplementary material available at 10.1007/s13139-022-00748-4.

Indexed as

F-18 FDOPAParkinsonismPETProspective study

Identifiers

PMID35607632
PMCPMC9123108
OpenAlexW4223439642

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.