Evidence map›Paper›PMID 28858541›Full record

ArticleAJR. American journal of roentgenology2017

Risk Stratification Among Men With Prostate Imaging Reporting and Data System version 2 Category 3 Transition Zone Lesions: Is Biopsy Always Necessary?

Ely R Felker, Steven S Raman, Daniel J Margolis, David S K Lu, Nicholas Shaheen, Shyam Natarajan, Devi Sharma, Jiaoti Huang, Fred Dorey, Leonard S Marks

Abstract read
In one paragraph

Article in AJR. American journal of roentgenology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Combining Magnetic Resonance Diffusion-Weighted Imaging with Prostate-Specific Antigen to Differentiate Between Malignant and Benign Prostate Lesions.Medical science monitor : international medical journal of experimental and clinical research · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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.

Ely R Felker1 Department of Radiology, Ronald Reagan UCLA Medical Center, 757 Westwood Plaza, Ste 1638, Los Angeles, CA 90095.
Steven S Raman1 Department of Radiology, Ronald Reagan UCLA Medical Center, 757 Westwood Plaza, Ste 1638, Los Angeles, CA 90095.
Daniel J Margolis2 Department of Radiology, Weill Cornell Medical College, New York, NY.
David S K Lu1 Department of Radiology, Ronald Reagan UCLA Medical Center, 757 Westwood Plaza, Ste 1638, Los Angeles, CA 90095.
Nicholas Shaheen1 Department of Radiology, Ronald Reagan UCLA Medical Center, 757 Westwood Plaza, Ste 1638, Los Angeles, CA 90095.
Shyam Natarajan3 Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA.
Devi Sharma4 Department of Urology, Ronald Reagan UCLA Medical Center, Los Angeles, CA.
Jiaoti Huang5 Department of Pathology, Duke University, Durham, NC.
Fred Dorey4 Department of Urology, Ronald Reagan UCLA Medical Center, Los Angeles, CA.
Leonard S Marks4 Department of Urology, Ronald Reagan UCLA Medical Center, Los Angeles, CA.

Funding

Biopsy Tracking and MRI Fusion to Enhance Imaging of Cancer Within the ProstateR01CA158627 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MARKS, LEONARD STEPHEN · 2011 to 2013
$1.4M
NCI NIH HHS R01 CA158627
6 · The paper itself

Abstract

objectiveThe objective of our study was to determine the clinical and MRI characteristics of clinically significant prostate cancer (PCA) (Gleason score ≥ 3 + 4) in men with Prostate Imaging Reporting and Data System version 2 (PI-RADSv2) category 3 transition zone (TZ) lesions. MATERIALS AND

methodsFrom 2014 to 2016, 865 men underwent prostate MRI and MRI/ultrasound (US) fusion biopsy (FB). A subset of 90 FB-naïve men with 96 PI-RADSv2 category 3 TZ lesions was identified. Patients were imaged at 3 T using a body coil. Images were assigned a PI-RADSv2 category by an experienced radiologist. Using clinical data and imaging features, we performed univariate and multivariate analyses to identify predictors of clinically significant PCA.

resultsThe mean patient age was 66 years, and the mean prostate-specific antigen density (PSAD) was 0.13 ng/mL

conclusionThe yield of FB in men with PI-RADSv2 category 3 TZ lesions for clinically significant PCA is 15% but significantly improves to 60% (AUC > 0.9) among men with PSAD of 0.15 ng/mL

Indexed as

AgedAged, 80 and overBiopsyContrast MediaHumansMagnetic Resonance ImagingMaleMiddle AgedNeoplasm GradingProstate-Specific AntigenProstatic NeoplasmsRetrospective StudiesRisk AssessmentContrast MediaProstate-Specific AntigenMRIprostateProstate Imaging and Reporting System (PI-RADS)risk stratificationtransition zone

Identifiers

PMID28858541
PMCPMC5732583

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.