Evidence map›Paper›PMID 33664973›Full record

ArticleNeuro-oncology practice2021

Maximizing the use of batch production of

Mariam Aboian, Ramon Barajas, Julia Shatalov, Vahid Ravanfar, Emma Bahroos, Elizabeth Tong, Jennie W Taylor, N Oberheim Bush, Patricia Sneed, Youngho Seo and 2 more

Open access · greenAbstract read
In one paragraph

Article in Neuro-oncology practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.1field-weighted citation impact, top 47% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Complex Diagnostic Challenges in Glioblastoma: The Role ofPharmaceuticals (Basel, Switzerland) · 2024
    Review
  2. Manufacturing 6-[Organic letters · 2024
    Article
  3. Article
  4. Review
  5. 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

12 authors at 4 institutions in 1 country.

Mariam AboianDepartment of Radiology, Yale University School of Medicine, New Haven, CT.ORCID https://orcid.org/0000-0002-4877-8271
Ramon BarajasDepartment of Radiology, Oregon Health Sciences University.ORCID https://orcid.org/0000-0001-8936-0659
Julia ShatalovDepartment of Radiology, Yale University School of Medicine, New Haven, CT.
Vahid RavanfarDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California.
Emma BahroosDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California.
Elizabeth TongDepartment of Radiology, Stanford University, Palo Alto, California.
Jennie W TaylorDepartment of Neurological Surgery, University of California San Francisco, San Francisco, California.
N Oberheim BushDepartment of Neurological Surgery, University of California San Francisco, San Francisco, California.
Patricia SneedDepartment of Radiation Oncology, University of California San Francisco, San Francisco, California.
Youngho SeoDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California.
Soonmee ChaDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California.
Miguel Hernandez-PampaloniDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California.
University of California, San Francisco · USYale University · USOregon Health & Science University · USPalo Alto University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Institutional Career Development CoreKL2TR001862 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$12.2M
Biomedical Imaging for Clinician ScientistsT32EB001631 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI THOMAS M LINK · 2005 to 2026
$5.6M
Defining the Hypoxic Immunosuppressive Microenvironment as a Biomarker of Therapy Efficacy in Glioblastoma Using Iron Oxide Enhanced FMISO PET/MRIK08CA237809 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI BARAJAS, RAMON FRANCISCO · 2020 to 2024
$1.2M
NCATS NIH HHS KL2 TR001862NCATS NIH HHS UL1 TR001863NCI NIH HHS K08 CA237809NCI NIH HHS L30 CA220897NIBIB NIH HHS T32 EB001631
6 · The paper itself

Abstract

backgroundAmino acid PET imaging of brain tumors has been shown to play an important role in predicting tumor grade, delineation of tumor margins, and differentiating tumor recurrence from the background of postradiation changes, but is not commonly used in clinical practice because of high cost. We propose that PET/MRI imaging of patients grouped to the day of tracer radiosynthesis will significantly decrease the cost of PET imaging, which will improve patient access to PET.

methodsSeventeen patients with either primary brain tumors or metastatic brain tumors were recruited for imaging on 3T PET/MRI and were scanned on 4 separate days in groups of 3 to 5 patients. The first group of consecutively imaged patients contained 3 patients, followed by 2 groups of 5 patients, and a last group of 4 patients.

resultsFor each of the patients, standard of care gadolinium-enhanced MRI and dynamic PET imaging with

conclusionAmino acid PET tracers have been shown to play a critical role in the characterization of brain tumors but their adaptation to clinical practice has been limited because of the high cost of PET. Scheduling patient imaging to maximally use the radiosynthesis of imaging tracer significantly reduces the cost of PET and results in increased availability of PET tracer use in neuro-oncology.

Indexed as

costFDOPAPET/MRIradioisotoperadiotracersynthesis

Identifiers

PMID33664973
PMCPMC7906261
OpenAlexW3119971332

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.