Evidence map›Paper›PMID 39260625›Full record

ArticleMagnetic resonance imaging2024

The impact of benign tissue within cancerous regions in the prostate: Characterizing sparse and dense prostate cancers on whole-mount histopathology and on multiparametric MRI.

Olga Starobinets, Jeffry P Simko, Matthew Gibbons, John Kurhanewicz, Peter R Carroll, Susan M Noworolski

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Olga StarobinetsDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA 94143, USA; The Graduate Group in Bioengineering, University of California, San Francisco and Berkeley, Berkeley, CA 94720, USA.
Jeffry P SimkoDepartment of Pathology, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Urology, University of California, San Francisco, San Francsico, CA 94143, USA; UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94143, USA. Electronic address: Jeff.Simko@ucsf.edu.
Matthew GibbonsDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA 94143, USA. Electronic address: Matthew.Gibbons@ucsf.edu.
John KurhanewiczDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA 94143, USA; The Graduate Group in Bioengineering, University of California, San Francisco and Berkeley, Berkeley, CA 94720, USA; UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94143, USA. Electronic address: John.Kurhanewicz@ucsf.edu.
Peter R CarrollDepartment of Urology, University of California, San Francisco, San Francsico, CA 94143, USA; UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94143, USA. Electronic address: Peter.Carroll@ucsf.edu.
Susan M NoworolskiDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA 94143, USA; The Graduate Group in Bioengineering, University of California, San Francisco and Berkeley, Berkeley, CA 94720, USA; UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94143, USA. Electronic address: Susan.Noworolski@ucsf.edu.

Funding

Translation and Evaluation of a Multiparametric Prostate Cancer 3T ExamR01CA137207 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HURD, RALPH EUGENE, KURHANEWICZ, JOHN · 2010 to 2014
$2.6M
DCE MRI to Improve Prostate Cancer Identification and CharacterizationR01CA148708 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI NOWOROLSKI, SUSAN M · 2010 to 2014
$1.3M
NCI NIH HHS R01 CA137207NCI NIH HHS R01 CA148708
6 · The paper itself

Abstract

purposeTo establish the incidence, size, zonal location and Gleason Score(GS)/Gleason Grade Group(GG) of sparse versus dense prostate cancer (PCa) lesions and to identify the imaging characteristics of sparse versus dense cancers on multiparametric MRI (mpMRI).

methodsSeventy-six men with untreated PCa were scanned prior to prostatectomy with endorectal-coil 3 T MRI including T2-weighted imaging, diffusion-weighted imaging and dynamic contrast-enhanced MRI. Cancerous regions were outlined and graded on the whole-mount, processed specimens, with tissue compositions estimated. Regions with cancer comprising <50 % and ≥ 50 % of the tissue were considered sparse and dense respectively. Regions of interest (ROI) were manually drawn on T2-weighted MRI. Within each patient, area-weighted ROI averages were calculated for each imaging measure for each tissue type, GS/GG, and sparse/dense composition.

resultsA large number of cancer regions were identified on histopathology (n = 1193: 939 (peripheral zone (PZ)) and 254 (transition zone (TZ))). Thirty-seven percent of these lesions were sparse. Sparse lesions were primarily low-grade with the majority of PZ and 100 % of TZ sparse lesions ≤GS3 + 3/GG1. Dense lesions were significantly larger than sparse lesions in both PZ and TZ, p < 0.0001. On imaging, 246/45 PZ and 109/8 TZ dense/sparse 2D cancerous ROIs were drawn. Sparse GS3 + 3 and sparse ≥GS3 + 4 cancers did not have significantly different MRI intensities to dense GS3 + 3 cancers, while sparse GS3 + 3/GG1 cancers differed from benign, p < 0.05.

conclusionHistopathologically identified prostate cancer lesions were sparse in 37 % of cases. Sparse cancers were entirely low grade in TZ and predominantly low-grade in PZ and generally small, thus likely posing lower risk for spread and progression than dense lesions. Sparse lesions were not distinguishable from dense lesions on mpMRI, but could be distinguished from benign tissues.

Indexed as

Multiparametric Magnetic Resonance ImagingNeoplasm GradingProstateProstatic NeoplasmsAgedHumansMagnetic Resonance ImagingMaleMiddle AgedProstatectomyHistopathologyMultiparametric MRIProstate cancerProstatectomy

Identifiers

PMID39260625
PMCPMC12705037

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Registered trials

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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.