Evidence map›Paper›PMID 37004362›Full record

ArticleEuropean journal of radiology2023

Test-retest repeatability of ADC in prostate using the multi b-Value VERDICT acquisition.

Harriet J Rogers, Saurabh Singh, Anna Barnes, Nancy A Obuchowski, Daniel J Margolis, Dariya I Malyarenko, Thomas L Chenevert, Amita Shukla-Dave, Michael A Boss, Shonit Punwani

Open access · hybridAbstract read
In one paragraph

Article in European journal of radiology, 2023. 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
1.4field-weighted citation impact, top 20% 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. Observational
  2. 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

10 authors at 6 institutions in 2 countries.

Harriet J RogersCentre for Medical Imaging, Division of Medicine, University College London, London, UK. Electronic address: harrietr99@gmail.com.
Saurabh SinghCentre for Medical Imaging, Division of Medicine, University College London, London, UK.
Anna BarnesCentre for Medical Imaging, Division of Medicine, University College London, London, UK.
Nancy A ObuchowskiDepartment of Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, OH, USA.
Daniel J MargolisRadiology, Weill Cornell Medicine, New York, NY, USA.
Dariya I MalyarenkoDepartment of Radiology, University of Michigan, Ann Arbor, MI, USA.
Thomas L ChenevertDepartment of Radiology, University of Michigan, Ann Arbor, MI, USA.
Amita Shukla-DaveDepartments of Medical Physics and Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Michael A BossCenter for Research and Innovation, American College of Radiology, Philadelphia, PA, USA.
Shonit PunwaniCentre for Medical Imaging, Division of Medicine, University College London, London, UK.
University College London · GBUniversity of Michigan · USAmerican College of Radiology · USCleveland Clinic · USCornell University · USMemorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Elimination of Instrumental Bias for Quantitative Diffusion Imaging in Clinical Oncology TrialsR01CA190299 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MALYARENKO, DARIYA I. · 2015 to 2025
$6.4M
Quantitative imaging tools to derive DW-MRI oncological biomarkersU01CA211205 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI DAVE, AMITA, SCHWARTZ, LAWRENCE H · 2017 to 2021
$3.4M
TOPIC 421: MULTI-COMPARTMENT PHANTOM MATERIALS FOR QUANTITATIVE, MULTI-PARAMETIC MRI OF THE PROSTATE75N91021C00036 · NCI · PI LYNCH, JOHN · 2021 to 2021
$397k
Cancer Research UK 26854NCI NIH HHS 75N91021C00036NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA190299NCI NIH HHS U01 CA211205NHLBI NIH HHS HHSN268201500021CNIBIB NIH HHS HHSN268201300071C
6 · The paper itself

Abstract

purposeVERDICT (Vascular, Extracellular, Restricted Diffusion for Cytometry in Tumours) MRI is a multi b-value, variable diffusion time DWI sequence that allows generation of ADC maps from different b-value and diffusion time combinations. The aim was to assess precision of prostate ADC measurements from varying b-value combinations using VERDICT and determine which protocol provides the most repeatable ADC. MATERIALS AND

methodsForty-one men (median age: 67.7 years) from a prior prospective VERDICT study (April 2016-October 2017) were analysed retrospectively. Men who were suspected of prostate cancer and scanned twice using VERDICT were included. ADC maps were formed using 5b-value combinations and the within-subject standard deviations (wSD) were calculated per ADC map. Three anatomical locations were analysed per subject: normal TZ (transition zone), normal PZ (peripheral zone), and index lesions. Repeated measures ANOVAs showed which b-value range had the lowest wSD, Spearman correlation and generalized linear model regression analysis determined whether wSD was related to ADC magnitude and ROI size.

resultsThe mean lesion ADC for b

conclusionADC maps generated from b

Indexed as

ProstateProstatic NeoplasmsAgedDiffusion Magnetic Resonance ImagingHumansMaleProspective StudiesRetrospective StudiesApparent Diffusion CoefficientDiffusion Weighted ImagingMagnetic Resonance ImagingProstate CancerRepeatability

Identifiers

PMID37004362
PMCPMC10334409
OpenAlexW4327571709

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.