ArticleMolecular imaging and biology2017
Radiosynthesis and First-In-Human PET/MRI Evaluation with Clinical-Grade [
Article in Molecular imaging and biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 14 papers.
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.
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.
Use of [18F]FTC-146 PET/MRI in the Diagnosis of Chronic Pain
Sigma-1 Receptors: A Novel Clinical Target in Fragile X Syndrome
Use of (18F)FTC-146 PET_MRI for Characterizing Chronic Pain Phenotypes in Chronic Pain Patients with Spinal or Peripheral Nerve Origin
Who cites it
14 citing papers in PubMed, 29 citations in OpenAlex.
- A Full-Spectrum Evaluation of Sigma-1 Receptor (S1R) Positron Emission Tomography (PET) Radioligands from Binding Affinity to Clinical Imaging.Molecules (Basel, Switzerland) · 2025Review
- Recent Advances in the Development of Sigma Receptor (Radio)Ligands and Their Application in Tumors.ACS pharmacology & translational science · 2025Review
- The Sigma Receptors in Alzheimer's Disease: New Potential Targets for Diagnosis and Therapy.International journal of molecular sciences · 2023Review
- Discovery of RC-752, a Novel Sigma-1 Receptor Antagonist with Antinociceptive Activity: A Promising Tool for Fighting Neuropathic Pain.Pharmaceuticals (Basel, Switzerland) · 2023Article
- Prospective comparison of [EJNMMI research · 2023Article
- Examination of the Novel Sigma-1 Receptor Antagonist, SI 1/28, for Antinociceptive and Anti-allodynic Efficacy against Multiple Types of Nociception with Fewer Liabilities of Use.International journal of molecular sciences · 2022Article
- Multi-Target Directed Ligands (MTDLs) Binding the σInternational journal of molecular sciences · 2021Review
- Review
- Exploring 1-adamantanamine as an alternative amine moiety for metabolically labile azepane ring in newly synthesized benzo[Medicinal chemistry research : an international journal for rapid communications on design and mechanisms of action of biologically active agents · 2020Article
- Article
- Evaluation ofTheranostics · 2020Article
- Characterization of Sigma 1 Receptor Antagonist CM-304 and Its Analog, AZ-66: Novel Therapeutics Against Allodynia and Induced Pain.Frontiers in pharmacology · 2019Article
- Biodistribution and Radiation Dosimetry ofJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2017Article
- Visualizing Nerve Injury in a Neuropathic Pain Model with [Theranostics · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 3 institutions in 2 countries.
Funding
Abstract
purposeSigma-1 receptors (S1Rs) play an important role in many neurological disorders. Simultaneous positron emission tomography (PET)/magnetic resonance imaging (MRI) with S1R radioligands may provide valuable information for diagnosing and guiding treatment for these diseases. Our previously reported S1R radioligand, [ PROCEDURES: [
results[
conclusionA reliable and automated radiosynthesis for providing routine clinical-grade [
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.