Evidence map›Paper›PMID 26910114›Full record

ArticleAbdominal radiology (New York)2016

Restriction spectrum imaging improves MRI-based prostate cancer detection.

Kevin C McCammack, Natalie M Schenker-Ahmed, Nathan S White, Shaun R Best, Robert M Marks, Jared Heimbigner, Christopher J Kane, J Kellogg Parsons, Joshua M Kuperman, Hauke Bartsch and 8 more

Open access · greenAbstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Abdominal radiology (New York), 2016. 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
1.8field-weighted citation impact, top 15% 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, 30 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Review
  4. Article
  5. MRI-based virtual pathology of the prostate.Magma (New York, N.Y.) · 2024
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Restriction spectrum imaging: An evolving imaging biomarker in prostate MRI.Journal of magnetic resonance imaging : JMRI · 2017
    Review
  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

18 authors at 4 institutions in 1 country.

Kevin C McCammackDepartment of Radiology, University of California San Diego School of Medicine, 200 W Arbor Dr, San Diego, CA, 92103, USA.
Natalie M Schenker-AhmedDepartment of Radiology, University of California San Diego School of Medicine, 200 W Arbor Dr, San Diego, CA, 92103, USA.
Nathan S WhiteDepartment of Radiology, University of California San Diego School of Medicine, 200 W Arbor Dr, San Diego, CA, 92103, USA.
Shaun R BestDepartment of Radiology, University of California San Diego School of Medicine, 200 W Arbor Dr, San Diego, CA, 92103, USA.
Robert M MarksDepartment of Radiology, Naval Medical Center San Diego, San Diego, USA.
Jared HeimbignerDepartment of Radiology, Naval Medical Center San Diego, San Diego, USA.
Christopher J KaneDepartment of Urology, University of California San Diego School of Medicine, San Diego, USA.
J Kellogg ParsonsDepartment of Urology, University of California San Diego School of Medicine, San Diego, USA.
Joshua M KupermanDepartment of Radiology, University of California San Diego School of Medicine, 200 W Arbor Dr, San Diego, CA, 92103, USA.
Hauke BartschDepartment of Radiology, University of California San Diego School of Medicine, 200 W Arbor Dr, San Diego, CA, 92103, USA.
Rahul S DesikanDepartment of Radiology, University of California San Diego School of Medicine, 200 W Arbor Dr, San Diego, CA, 92103, USA.
Rebecca A Rakow-PennerDepartment of Radiology, University of California San Diego School of Medicine, 200 W Arbor Dr, San Diego, CA, 92103, USA.
Michael A LissDepartment of Urology, University of Texas San Antonio School of Medicine, San Antonio, USA.
Daniel J A MargolisDepartment of Radiology, University of California Los Angeles Geffen School of Medicine, Los Angeles, USA.
Steven S RamanDepartment of Radiology, University of California Los Angeles Geffen School of Medicine, Los Angeles, USA.
Ahmed ShabaikDepartment of Pathology, University of California San Diego School of Medicine, San Diego, USA.
Anders M DaleDepartment of Radiology, University of California San Diego School of Medicine, 200 W Arbor Dr, San Diego, CA, 92103, USA.
David S KarowDepartment of Radiology, University of California San Diego School of Medicine, 200 W Arbor Dr, San Diego, CA, 92103, USA. dkarow@ucsd.edu.
University of California San Diego · USNaval Medical Center San Diego · USUniversity of California, Los Angeles · USThe University of Texas at San Antonio · US

Funding

Spatiotemporal Brain Imaging: Microscopic &System LevelR01EB000790 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DALE, ANDERS M · 2002 to 2015
$15.3M
NIBIB NIH HHS R01 EB000790
6 · The paper itself

Abstract

purposeTo compare the diagnostic performance of restriction spectrum imaging (RSI), with that of conventional multi-parametric (MP) magnetic resonance imaging (MRI) for prostate cancer (PCa) detection in a blinded reader-based format.

methodsThree readers independently evaluated 100 patients (67 with proven PCa) who underwent MP-MRI and RSI within 6 months of systematic biopsy (N = 67; 23 with targeting performed) or prostatectomy (N = 33). Imaging was performed at 3 Tesla using a phased-array coil. Readers used a five-point scale estimating the likelihood of PCa present in each prostate sextant. Evaluation was performed in two separate sessions, first using conventional MP-MRI alone then immediately with MP-MRI and RSI in the same session. Four weeks later, another scoring session used RSI and T2-weighted imaging (T2WI) without conventional diffusion-weighted or dynamic contrast-enhanced imaging. Reader interpretations were then compared to prostatectomy data or biopsy results. Receiver operating characteristic curves were performed, with area under the curve (AUC) used to compare across groups.

resultsMP-MRI with RSI achieved higher AUCs compared to MP-MRI alone for identifying high-grade (Gleason score greater than or equal to 4 + 3=7) PCa (0.78 vs. 0.70 at the sextant level; P < 0.001 and 0.85 vs. 0.79 at the hemigland level; P = 0.04). RSI and T2WI alone achieved AUCs similar to MP-MRI for high-grade PCa (0.71 vs. 0.70 at the sextant level). With hemigland analysis, high-grade disease results were similar when comparing RSI + T2WI with MP-MRI, although with greater AUCs compared to the sextant analysis (0.80 vs. 0.79).

conclusionIncluding RSI with MP-MRI improves PCa detection compared to MP-MRI alone, and RSI with T2WI achieves similar PCa detection as MP-MRI.

Indexed as

AgedAged, 80 and overBiopsyContrast MediaHumansMagnetic Resonance ImagingMaleMiddle AgedNeoplasm GradingProstatectomyProstatic NeoplasmsSensitivity and SpecificityTumor BurdenContrast MediaDiffuse weighted imagingProstate cancerProstate diffusion imagingProstate MRIRestriction spectrum imaging

Identifiers

PMID26910114
PMCPMC5386962
OpenAlexW2284221521

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.