Evidence map›Paper›PMID 25608166›Full record

ArticleClinical nuclear medicine2015

Quantitative graphical analysis of simultaneous dynamic PET/MRI for assessment of prostate cancer.

Andrew B Rosenkrantz, Thomas Koesters, Anne-Kristin Vahle, Kent Friedman, Rachel M Bartlett, Samir S Taneja, Yu-Shin Ding, Jean Logan

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Clinical nuclear medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. European journal of nuclear medicine and molecular imaging · 2021
    Article
  2. Article
  3. Comparison of time curves from dynamicPhysics and imaging in radiation oncology · 2018
    Article
  4. 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

8 authors at 1 institution in 1 country.

Andrew B RosenkrantzFrom the *Department of Radiology, and †Division of Urologic Oncology, Department of Urology, NYU Langone Medical Center, New York, NY.
Thomas Koesters
Anne-Kristin Vahle
Kent Friedman
Rachel M Bartlett
Samir S Taneja
Yu-Shin Ding
Jean Logan
New York University · US

Funding

TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Dmitry S Novikov · 2014 to 2026
$19.3M
Quantification of Tumor Malignancy with MRIR01CA111996 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BOADA, FERNANDO E · 2006 to 2017
$2.8M
NCI NIH HHS 5R01 CA111996-07NCI NIH HHS R01 CA111996NIBIB NIH HHS P41 EB017183
6 · The paper itself

Abstract

purposeDynamic FDG imaging for prostate cancer characterization is limited by generally small size and low uptake in prostate tumors. Our aim in this pilot study was to explore feasibility of simultaneous PET/MRI to guide localization of prostate lesions for dynamic FDG analysis using a graphical approach.

methodsThree patients with biopsy-proven prostate cancer underwent simultaneous FDG PET/MRI, incorporating dynamic prostate imaging. Histology and multiparametric MRI findings were used to localize tumors, which in turn guided identification of tumors on FDG images. Regions of interest were manually placed on tumor and benign prostate tissue. Blood activity was extracted from a region of interest placed on the femoral artery on PET images. FDG data were analyzed by graphical analysis using the influx constant Ki (Patlak analysis) when FDG binding seemed irreversible and distribution volume VT (reversible graphical analysis) when FDG binding seemed reversible given the presence of washout.

resultsGiven inherent coregistration, simultaneous acquisition facilitated use of MRI data to localize small lesions on PET and subsequent graphical analysis in all cases. In 2 cases with irreversible binding, tumor had higher Ki than benign using Patlak analysis (0.023 vs 0.006 and 0.019 vs 0.008 mL/cm3 per minute). In 1 case appearing reversible, tumor had higher VT than benign using reversible graphical analysis (0.68 vs 0.52 mL/cm3).

conclusionsSimultaneous PET/MRI allows localization of small prostate tumors for dynamic PET analysis. By taking advantage of inclusion of the femoral arteries in the FOV, we applied advanced PET data analysis methods beyond conventional static measures and without blood sampling.

Indexed as

Fluorodeoxyglucose F18Magnetic Resonance ImagingMultimodal ImagingPositron-Emission TomographyRadiopharmaceuticalsAgedData Interpretation, StatisticalHumansMaleMiddle AgedProstatic NeoplasmsFluorodeoxyglucose F18Radiopharmaceuticals

Identifiers

PMID25608166
PMCPMC4352122
OpenAlexW2325023444

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.