Evidence map›Paper›PMID 26754261›Full record

ArticleProstate cancer and prostatic diseases2016

In vivo prostate cancer detection and grading using restriction spectrum imaging-MRI.

K C McCammack, C J Kane, J K Parsons, N S White, N M Schenker-Ahmed, J M Kuperman, H Bartsch, R S Desikan, R A Rakow-Penner, D Adams and 8 more

Registry-linked trialOpen access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Prostate cancer and prostatic diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03440554 (Non-contrast MR Imaging for Whole Body Cancer Detection and Characterization), which is not on this map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.0field-weighted citation impact, top 13% 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.

NCT03440554 naunknown statusnot on this map

Non-contrast MR Imaging for Whole Body Cancer Detection and Characterization

TypeinterventionalSponsorUniversity of California, San DiegoRan2016 to 2023Enrolled150ConditionsProstate CancerArmsWhole Body Non-Contrast MRI
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 24 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. MRI-based virtual pathology of the prostate.Magma (New York, N.Y.) · 2024
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. New prostate MRI techniques and sequences.Abdominal radiology (New York) · 2020
    Review
  13. Article
  14. Restriction spectrum imaging: An evolving imaging biomarker in prostate MRI.Journal of magnetic resonance imaging : JMRI · 2017
    Review
  15. Voxel Level Radiologic-Pathologic Validation of Restriction Spectrum Imaging Cellularity Index with Gleason Grade in Prostate Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2016
    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 3 institutions in 1 country.

K C McCammackDepartment of Radiology, University of California San Diego School of Medicine, San Diego, CA, USA.
C J KaneDepartment of Urology, University of California San Diego School of Medicine, San Diego, CA, USA.
J K ParsonsDepartment of Urology, University of California San Diego School of Medicine, San Diego, CA, USA.
N S WhiteDepartment of Radiology, University of California San Diego School of Medicine, San Diego, CA, USA.
N M Schenker-AhmedDepartment of Radiology, University of California San Diego School of Medicine, San Diego, CA, USA.
J M KupermanDepartment of Radiology, University of California San Diego School of Medicine, San Diego, CA, USA.
H BartschDepartment of Radiology, University of California San Diego School of Medicine, San Diego, CA, USA.
R S DesikanDepartment of Radiology, University of California San Diego School of Medicine, San Diego, CA, USA.
R A Rakow-PennerDepartment of Radiology, University of California San Diego School of Medicine, San Diego, CA, USA.
D AdamsDepartment of Pathology, University of California San Diego School of Medicine, San Diego, CA, USA.
M A LissDepartment of Urology, University of Texas San Antonio School of Medicine, San Antonio, TX, USA.
R F MattreyDepartment of Radiology, University of California San Diego School of Medicine, San Diego, CA, USA.
W G BradleyDepartment of Radiology, University of California San Diego School of Medicine, San Diego, CA, USA.
D J A MargolisDepartment of Radiology, University of California Los Angeles Geffen School of Medicine, Los Angeles, CA, USA.
S S RamanDepartment of Radiology, University of California Los Angeles Geffen School of Medicine, Los Angeles, CA, USA.
A ShabaikDepartment of Pathology, University of California San Diego School of Medicine, San Diego, CA, USA.
A M DaleDepartment of Radiology, University of California San Diego School of Medicine, San Diego, CA, USA.
D S KarowDepartment of Radiology, University of California San Diego School of Medicine, San Diego, CA, USA.
University of California, 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
Traning Clinical Scientists in Radiological ImagingT32EB005970 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Eric Y Chang, Rebecca Ann Rakow-Penner · 2007 to 2026
$3.2M
NIBIB NIH HHS R01 EB000790NIBIB NIH HHS T32 EB005970
6 · The paper itself

Abstract

backgroundMagnetic resonance imaging (MRI) is emerging as a robust, noninvasive method for detecting and characterizing prostate cancer (PCa), but limitations remain in its ability to distinguish cancerous from non-cancerous tissue. We evaluated the performance of a novel MRI technique, restriction spectrum imaging (RSI-MRI), to quantitatively detect and grade PCa compared with current standard-of-care MRI.

methodsIn a retrospective evaluation of 33 patients with biopsy-proven PCa who underwent RSI-MRI and standard MRI before radical prostatectomy, receiver-operating characteristic (ROC) curves were performed for RSI-MRI and each quantitative MRI term, with area under the ROC curve (AUC) used to compare each term's ability to differentiate between PCa and normal prostate. Spearman rank-order correlations were performed to assess each term's ability to predict PCa grade in the radical prostatectomy specimens.

resultsRSI-MRI demonstrated superior differentiation of PCa from normal tissue, with AUC of 0.94 and 0.85 for RSI-MRI and conventional diffusion MRI, respectively (P=0.04). RSI-MRI also demonstrated superior performance in predicting PCa aggressiveness, with Spearman rank-order correlation coefficients of 0.53 (P=0.002) and -0.42 (P=0.01) for RSI-MRI and conventional diffusion MRI, respectively, with tumor grade.

conclusionsRSI-MRI significantly improves upon current noninvasive PCa imaging and may potentially enhance its diagnosis and characterization.

Indexed as

AgedHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedNeoplasm GradingNeoplasm StagingProstatic NeoplasmsRetrospective StudiesROC CurveTumor Burden

Identifiers

PMID26754261
PMCPMC5340721
OpenAlexW2238462345

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.