Evidence map›Paper›PMID 37973247›Full record

ReviewRadiologic clinics of North America2024

Prostate Cancer Local Staging with Magnetic Resonance Imaging.

Yue Lin, Latrice A Johnson, Fiona M Fennessy, Baris Turkbey

Abstract readReview
In one paragraph

Review in Radiologic clinics of North America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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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

4 authors.

Yue LinMolecular Imaging Branch, National Cancer Institute, National Institutes of Health, 10 Center Drive, MSC 1182, Building 10, Room B3B85, Bethesda, MD 20892, USA.
Latrice A JohnsonMolecular Imaging Branch, National Cancer Institute, National Institutes of Health, 10 Center Drive, MSC 1182, Building 10, Room B3B85, Bethesda, MD 20892, USA.
Fiona M FennessyDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA.
Baris TurkbeyMolecular Imaging Branch, National Cancer Institute, National Institutes of Health, 10 Center Drive, MSC 1182, Building 10, Room B3B85, Bethesda, MD 20892, USA. Electronic address: turkbeyi@mail.nih.gov.

Funding

Imaging, image guided biopsy and treatment of prostate cancerZIABC012062 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI TÜRKBEY, BARIS · 2021 to 2025
$1.3M
Intramural NIH HHS ZIA BC012062
6 · The paper itself

Abstract

Accurate determination of the local stage of prostate cancer is crucial for treatment planning and prognosis. The primary objective of local staging is to distinguish between organ-confined and locally advanced disease, with the latter carrying a worse clinical prognosis. The presence of locally advanced disease features of prostate cancer, such as extra-prostatic extension, seminal vesicle invasion, and positive surgical margin, can impact the choice of treatment. Over the past decade, multiparametric MRI (mpMRI) has become the preferred imaging modality for the local staging of prostate cancer and has been shown to provide accurate information on the location and extent of disease. It has demonstrated superior performance compared to staging based on traditional clinical nomograms. Despite being a relatively new technique, mpMRI has garnered considerable attention and ongoing investigations. Therefore, in this review, we will discuss the current use of mpMRI on prostate cancer local staging.

Indexed as

Multiparametric Magnetic Resonance ImagingProstatic NeoplasmsHumansMagnetic Resonance ImagingMaleNeoplasm StagingProstateDiagnostic imagingMagnetic resonance imagingProstatic neoplasms

Identifiers

PMID37973247
PMCPMC10656475

What OpenQuestion holds

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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.