Evidence map›Paper›PMID 38856839›Full record

ReviewMagma (New York, N.Y.)2024

MRI-based virtual pathology of the prostate.

Aritrick Chatterjee, Durgesh Kumar Dwivedi

Abstract readReview
In one paragraph

Review in Magma (New York, N.Y.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Quantitative Prostate MRI, From theAJR. American journal of roentgenology · 2025
    Review
  4. 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

2 authors.

Aritrick ChatterjeeDepartment of Radiology, University of Chicago, 5841 South Maryland Avenue, MC 2026, Chicago, IL, 60637, USA. aritrick@uchicago.edu.ORCID http://orcid.org/0000-0003-4022-7106
Durgesh Kumar DwivediDepartment of Radiodiagnosis, King George's Medical University, Lucknow, India.

Funding

Detection of prostate Cancer Specific Signals with Hybrid Multi-Dimensional MRIR01CA228036 · NCI · UNIVERSITY OF CHICAGO · PI KARCZMAR, GREGORY S., OTO, AYTEKIN · 2019 to 2023
$2.7M
MRI Virtual Pathology of the Prostate: Multi-center multi-vendor application and validationUT2CA244056 · NCI · QMIS, LLC · PI CHATTERJEE, ARITRICK, KARCZMAR, GREGORY S. · 2022 to 2023
$2.0M
MR Virtual Pathology of the ProstateR41CA244056 · NCI · QMIS, LLC · PI KARCZMAR, GREGORY S., MUSTAFI, DEVKUMAR · 2020 to 2020
$225k
NCI NIH HHS R01 CA228036NCI NIH HHS R41 CA244056NCI NIH HHS UT2 CA244056
6 · The paper itself

Abstract

Prostate cancer poses significant diagnostic challenges, with conventional methods like prostate-specific antigen (PSA) screening and transrectal ultrasound (TRUS)-guided biopsies often leading to overdiagnosis or miss clinically significant cancers. Multiparametric MRI (mpMRI) has emerged as a more reliable tool. However, it is limited by high inter-observer variability and radiologists missing up to 30% of clinically significant cancers. This article summarizes a few of these recent advancements in quantitative MRI techniques that look at the "Virtual Pathology" of the prostate with an aim to enhance prostate cancer detection and characterization. These techniques include T2 relaxation-based techniques such as luminal water imaging, diffusion based such as vascular, extracellular, and restricted diffusion for cytometry in tumors (VERDICT) and restriction spectrum imaging or combined relaxation-diffusion techniques such as hybrid multi-dimensional MRI (HM-MRI), time-dependent diffusion imaging, and diffusion-relaxation correlation spectrum imaging. These methods provide detailed insights into underlying prostate microstructure and tissue composition and have shown improved diagnostic accuracy over conventional MRI. These innovative MRI methods hold potential for augmenting mpMRI, reducing variability in diagnosis, and paving the way for MRI as a 'virtual histology' tool in prostate cancer diagnosis. However, they require further validation in larger multi-center clinical settings and rigorous in-depth radiological-pathology correlation are needed for broader implementation.

Indexed as

Magnetic Resonance ImagingMultiparametric Magnetic Resonance ImagingProstateProstatic NeoplasmsDiffusion Magnetic Resonance ImagingHumansImage-Guided BiopsyImage Interpretation, Computer-AssistedMaleReproducibility of ResultsProstate cancerQuantitative MRITissue compositionVirtual pathology

Identifiers

PMID38856839
PMCPMC12320515

What OpenQuestion holds

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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.