Evidence map›Paper›PMID 38136370›Full record

ArticleCancers2023

Prostate Cancers Invisible on Multiparametric MRI: Pathologic Features in Correlation with Whole-Mount Prostatectomy.

Aritrick Chatterjee, Alexander Gallan, Xiaobing Fan, Milica Medved, Pranadeep Akurati, Roger M Bourne, Tatjana Antic, Gregory S Karczmar, Aytekin Oto

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. MRI-based virtual pathology of the prostate.Magma (New York, N.Y.) · 2024
    Review
  12. Exploring the potential ofProstate international · 2024
    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

9 authors at 4 institutions in 2 countries.

Aritrick ChatterjeeDepartment of Radiology, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0003-4022-7106
Alexander GallanDepartment of Pathology, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Xiaobing FanDepartment of Radiology, University of Chicago, Chicago, IL 60637, USA.
Milica MedvedDepartment of Radiology, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0003-2945-5511
Pranadeep AkuratiDepartment of Biology, Loyola University, Chicago, IL 60611, USA.
Roger M BourneDiscipline of Medical Imaging Science, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia.ORCID 0000-0003-2755-089X
Tatjana AnticDepartment of Pathology, University of Chicago, Chicago, IL 60637, USA.
Gregory S KarczmarDepartment of Radiology, University of Chicago, Chicago, IL 60637, USA.
Aytekin OtoDepartment of Radiology, University of Chicago, Chicago, IL 60637, USA.
University of Chicago · USLoyola University Chicago · USMedical College of Wisconsin · USThe University of Sydney · AU

Funding

3T MRI Scanner for multidisciplinary imaging and image-guided therapyS10OD018448 · OD · UNIVERSITY OF CHICAGO · PI KARCZMAR, GREGORY S. · 2014 to 2014
$2.0M
MR Virtual Pathology of the ProstateR41CA244056 · NCI · QMIS, LLC · PI KARCZMAR, GREGORY S., MUSTAFI, DEVKUMAR · 2020 to 2020
$225k
NCI NIH HHS R41 CA244056NIH HHS S10 OD018448
6 · The paper itself

Abstract

We investigated why some prostate cancers (PCas) are not identified on multiparametric MRI (mpMRI) by using ground truth reference from whole-mount prostatectomy specimens. A total of 61 patients with biopsy-confirmed PCa underwent 3T mpMRI followed by prostatectomy. Lesions visible on MRI prospectively or retrospectively identified after correlating with histology were considered "identified cancers" (ICs). Lesions that could not be identified on mpMRI were considered "unidentified cancers" (UCs). Pathologists marked the Gleason score, stage, size, and density of the cancer glands and performed quantitative histology to calculate the tissue composition. Out of 115 cancers, 19 were unidentified on MRI. The UCs were significantly smaller and had lower Gleason scores and clinical stage lesions compared with the ICs. The UCs had significantly (

Indexed as

invisible lesionMRIprostate cancertissue composition

Identifiers

PMID38136370
PMCPMC10742185
OpenAlexW4389672576

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.