Evidence map›Paper›PMID 36798227›Full record

ArticleResearch square2023

Parametric maps of spatial two-tissue compartment model for prostate dynamic contrast enhanced MRI - comparison with the standard Tofts model in the diagnosis of prostate cancer.

Xueyan Zhou, Xiaobing Fan, Aritrick Chatterjee, Ambereen Yousuf, Tatjana Antic, Aytekin Oto, Gregory S Karczmar

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in Research square, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Xueyan ZhouHarbin University.ORCID 0000-0001-8047-4545
Xiaobing FanThe University of Chicago.
Aritrick ChatterjeeThe University of Chicago.
Ambereen YousufThe University of Chicago.
Tatjana AnticThe University of Chicago.
Aytekin OtoThe University of Chicago.
Gregory S KarczmarThe University of Chicago.

Funding

Quantitative MRI for Predicting Response of Breast Cancer to Neoadjuvant TherapyU01CA142565 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI KARCZMAR, GREGORY S., NANDA, RITA · 2010 to 2019
$4.5M
Breast Cancer Screening with Quantitative Ultra-Fast DCEMRI and Clinical Risk AssessmentR01CA218700 · NCI · UNIVERSITY OF CHICAGO · PI KARCZMAR, GREGORY S. · 2017 to 2021
$3.0M
Quantitative DCEMRI of Prostate Cancer Correlation with Gold StandardsR01CA172801 · NCI · UNIVERSITY OF CHICAGO · PI KARCZMAR, GREGORY S., OTO, AYTEKIN · 2013 to 2017
$2.3M
3T MRI Scanner for multidisciplinary imaging and image-guided therapyS10OD018448 · OD · UNIVERSITY OF CHICAGO · PI KARCZMAR, GREGORY S. · 2014 to 2014
$2.0M
NCI NIH HHS R01 CA172801NCI NIH HHS R01 CA218700NCI NIH HHS U01 CA142565NIH HHS S10 OD018448
6 · The paper itself

Abstract

The spatial two-tissue compartment model (2TCM) was used to analyze prostate dynamic contrast enhanced (DCE) MRI data and compared with the standard Tofts model. A total of 29 patients with biopsy-confirmed prostate cancer were included in this IRB-approved study. MRI data were acquired on a Philips Achieva 3T-TX scanner. After T2-weighted and diffusion-weighted imaging, DCE data using 3D T1-FFE mDIXON sequence were acquired pre- and post-contrast media injection (0.1 mmol/kg Multihance) for 60 dynamic scans with temporal resolution of 8.3 s/image. The 2TCM has one fast (K

Identifiers

PMID36798227
PMCPMC9934750

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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.