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Article details
Title
Characterizing indeterminate (Likert-score 3/5) peripheral zone prostate lesions with PSA density, PI-RADS scoring and qualitative descriptors on multiparametric MRI
Published in
British Journal of Radiology, December 2017
DOI 10.1259/bjr.20170645
Pubmed ID
Authors
Abstract

To determine whether indeterminate (Likert-score 3/5) peripheral zone (PZ) multi-parametric MRI (mpMRI) studies are classifiable by Prostate-Specific Antigen (PSA), PSA density (PSAD), PI-RADS_v2 rescoring and morphological MRI features. Men with maximum Likert-score 3/5 within their PZ were retrospectively selected from 330 men who prospectively underwent prostate mpMRI (3T) without an endorectal coil, followed by twenty-zone trans-perineal template prostate mapping biopsies ± focal lesion-targeted biopsy. PSAD was calculated using pre-biopsy PSA and MRI-derived volume. Two readers A and B independently assessed included men with both subjective Likert-score and PI-RADS_v2. Both readers then classified mpMRI morphological features in consensus. Men were divided into two groups: significant cancer (≥Gleason 3+4) or insignificant cancer (≤Gleason 3+3)/no cancer. Comparisons between groups were made separately for PSA&PSAD using Mann-Whitney test and morphological descriptors with Fisher's exact test. PI-RADS_v2 and subjective Likert assessment were descriptively compared and percentage inter-reader agreement calculated. 76 men were eligible for PSA&PSAD analyses, 71 for PI-RADS scoring, and 67 for morphological assessment (excluding significant image artefacts). Unlike PSA (p=0.915), PSAD was statistically different (p=0.004) between the significant 0.19 ng/ml2 (IQR: 0.13-0.29) and non-significant/no cancer 0.13 ng/ml2 (IQR: 0.10-0.17) groups. Presence of mpMRI morphological features wasn't significantly different between groups. Subjective Likert assessment discriminated patients with significant cancer better than PI-RADS_v2. Inter-reader percentage agreement was 83% for subjective Likert-scoring and 56% for PI-RADS_v2. PSAD may categorize presence of significant cancer in patients with Likert-scored 3/5 PZ mpMRI findings. Advances in knowledge: PSAD may be used in indeterminate PZ mpMRI to guide decisions between biopsy versus monitoring.

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X Demographics

X Demographics

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Other 9 19%
Researcher 7 15%
Lecturer 5 10%
Student > Ph. D. Student 4 8%
Student > Master 4 8%
Other 10 21%
Unknown 9 19%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 20 42%
Computer Science 2 4%
Physics and Astronomy 2 4%
Arts and Humanities 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 4 8%
Unknown 18 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 December 2018.
All research outputs
#31,336,860
of 34,517,649 outputs
Outputs from British Journal of Radiology
#4,122
of 4,552 outputs
Outputs of similar age
#438,107
of 492,191 outputs
Outputs of similar age from British Journal of Radiology
#38
of 40 outputs
Altmetric has tracked 34,517,649 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,552 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 492,191 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.