Evidence map›Paper›PMID 35792927›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2022

The optimal

Inna Gertsenshteyn, Boris Epel, Amandeep Ahluwalia, Heejong Kim, Xiaobing Fan, Eugene Barth, Marta Zamora, Erica Markiewicz, Hsiu-Ming Tsai, Subramanian Sundramoorthy and 11 more

Open access · greenAbstract read
In one paragraph

Article in European journal of 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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

13 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Letting Biology Validate the EPR Imaging of Tumor pOAdvances in experimental medicine and biology · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Validation of the design of a high-sensitivity and high-resolution PET system for a preclinical PET/EPR hybrid scanner.Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. 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

21 authors at 2 institutions in 1 country.

Inna GertsenshteynDepartment of Radiology, The University of Chicago, Chicago, IL, USA.
Boris EpelDepartment of Radiation and Cellular Oncology, The University of Chicago, Chicago, IL, USA.
Amandeep AhluwaliaDepartment of Radiology, The University of Chicago, Chicago, IL, USA.
Heejong KimDepartment of Radiology, The University of Chicago, Chicago, IL, USA.
Xiaobing FanDepartment of Radiology, The University of Chicago, Chicago, IL, USA.
Eugene BarthDepartment of Radiation and Cellular Oncology, The University of Chicago, Chicago, IL, USA.
Marta ZamoraDepartment of Radiology, The University of Chicago, Chicago, IL, USA.
Erica MarkiewiczIntegrated Small Animal Imaging Research Resource, OSRF, The University of Chicago, Chicago, IL, USA.
Hsiu-Ming TsaiIntegrated Small Animal Imaging Research Resource, OSRF, The University of Chicago, Chicago, IL, USA.
Subramanian SundramoorthyDepartment of Radiation and Cellular Oncology, The University of Chicago, Chicago, IL, USA.
Lara LeoniIntegrated Small Animal Imaging Research Resource, OSRF, The University of Chicago, Chicago, IL, USA.
John LukensDepartment of Radiation and Cellular Oncology, The University of Chicago, Chicago, IL, USA.
Mohammed BhuiyanDepartment of Radiology, The University of Chicago, Chicago, IL, USA.
Richard FreifelderDepartment of Radiology, The University of Chicago, Chicago, IL, USA.
Anna KucharskiDepartment of Radiology, The University of Chicago, Chicago, IL, USA.
Mihai GiurcanuDepartment of Public Health Sciences, The University of Chicago, Chicago, IL, USA.
Brian B RomanDepartment of Radiology, The University of Chicago, Chicago, IL, USA.
Gregory KarczmarDepartment of Radiology, The University of Chicago, Chicago, IL, USA.
Chien-Min KaoDepartment of Radiology, The University of Chicago, Chicago, IL, USA.
Howard HalpernDepartment of Radiation and Cellular Oncology, The University of Chicago, Chicago, IL, USA.
Chin-Tu ChenDepartment of Radiology, The University of Chicago, Chicago, IL, USA. cchen3@uchicago.edu.ORCID 0000-0003-2508-8726
University of Chicago · USChicago Department of Public Health · US

Funding

VIRAL ONCOLOGY CORE FACILITYP30CA014599 · NCI · UNIVERSITY OF CHICAGO · PI CHIEN-MIN KAO · 1985 to 2026
$122.1M
Very Low Frequency EPR Imaging in Vivo Phisiology P41 EB02034P41EB002034 · NIBIB · UNIVERSITY OF CHICAGO · PI HALPERN, HOWARD J · 2003 to 2017
$16.1M
Radiation Biology of EPR Oxygen ImagesR01CA098575 · NCI · UNIVERSITY OF CHICAGO · PI HALPERN, HOWARD J · 2003 to 2022
$4.5M
PET imaging of a4b2 nicotinic receptor upregulation and smoking cessationR01DA044760 · NIDA · UNIVERSITY OF CHICAGO · PI CHEN, CHIN-TU, GREEN, WILLIAM · 2017 to 2021
$3.8M
Improved Radiation Therapy of Hypoxic Tumor Regions by Integrated PET, EPR, and MR Imaging - Resubmission 01 - Revision - 1R01CA236385 · NCI · UNIVERSITY OF CHICAGO · PI CHEN, CHIN-TU, HALPERN, HOWARD J · 2020 to 2024
$3.3M
Dissemination of Advanced SPECT-MR Technology to the Molecular Imaging CommunityR01EB022388 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI CHEN, CHIN-TU, MENG, LING-JIAN · 2016 to 2019
$2.6M
A preclinical integrated PET/EPR imaging system-Rev3R01EB029948 · NIBIB · UNIVERSITY OF CHICAGO · PI EPEL, BORIS, KAO, CHIEN-MIN · 2020 to 2023
$1.7M
Integrating Preclinical and Translational Imaging Resources for Animal ResearchS10OD025265 · OD · UNIVERSITY OF CHICAGO · PI CHEN, CHIN-TU · 2018 to 2018
$319k
Correcting [18]F-Misonidazole PET with MRI and EPR to improve hypoxia-guided radiation therapyF31CA254223 · NCI · UNIVERSITY OF CHICAGO · PI GERTSENSHTEYN, INNA · 2021 to 2021
$46k
NCI NIH HHS F31 CA254223NCI NIH HHS P30 CA014599NCI NIH HHS R01 CA098575NCI NIH HHS R01 CA236385NIBIB NIH HHS P41 EB002034NIBIB NIH HHS R01 EB022388NIBIB NIH HHS R01 EB029948NIDA NIH HHS R01 DA044760NIH HHS S10 OD025265
6 · The paper itself

Abstract

purposeTo identify the optimal threshold in

methodsTumor hypoxia images in mouse models of SCCVII squamous cell carcinoma (n = 16) were acquired in a hybrid PET/EPRI imaging system 2 h post-injection of FMISO. T2-weighted MRI was used to delineate tumor and muscle tissue. Dynamic contrast enhanced (DCE) MRI parametric images of K

resultsFMISO PET thresholds to define hypoxia with maximum OHS (both OHS = 0.728 [Formula: see text] 0.2) were SUV [Formula: see text] 1.4 [Formula: see text] SUV

conclusionThis is the first in vivo comparison of FMISO uptake with pO

Indexed as

Carcinoma, Squamous CellTumor HypoxiaAnimalsCell HypoxiaElectron Spin Resonance SpectroscopyHypoxiaMiceMisonidazolePositron-Emission TomographyRadiopharmaceuticalsTomography, X-Ray ComputedfluoromisonidazoleMisonidazoleRadiopharmaceuticalsDCE-MRIEPRIFMISO PETTumor hypoxia

Identifiers

PMID35792927
PMCPMC9529789
OpenAlexW4283837036

What OpenQuestion holds

Textmetadata
LicenceTDM
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.