Evidence map›Paper›PMID 33786915›Full record

ArticleJournal of magnetic resonance imaging : JMRI2021

Voxel-level Classification of Prostate Cancer on Magnetic Resonance Imaging: Improving Accuracy Using Four-Compartment Restriction Spectrum Imaging.

Christine H Feng, Christopher C Conlin, Kanha Batra, Ana E Rodríguez-Soto, Roshan Karunamuni, Aaron Simon, Joshua Kuperman, Rebecca Rakow-Penner, Michael E Hahn, Anders M Dale and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 6% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
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  16. Comparison of synthesized and acquired high b-value diffusion-weighted MRI for detection of prostate cancer.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    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

11 authors at 2 institutions in 1 country.

Christine H FengDepartment of Radiation Medicine and Applied Sciences, UC San Diego School of Medicine, La Jolla, California, USA.ORCID 0000-0002-7790-9541
Christopher C ConlinDepartment of Radiology, UC San Diego School of Medicine, La Jolla, California, USA.ORCID 0000-0003-4509-8702
Kanha BatraDepartment of Electrical and Computer Engineering, UC San Diego, La Jolla, California, USA.
Ana E Rodríguez-SotoDepartment of Radiology, UC San Diego School of Medicine, La Jolla, California, USA.ORCID 0000-0002-9544-547X
Roshan KarunamuniDepartment of Radiation Medicine and Applied Sciences, UC San Diego School of Medicine, La Jolla, California, USA.
Aaron SimonDepartment of Radiation Medicine and Applied Sciences, UC San Diego School of Medicine, La Jolla, California, USA.
Joshua KupermanDepartment of Radiology, UC San Diego School of Medicine, La Jolla, California, USA.
Rebecca Rakow-PennerDepartment of Radiology, UC San Diego School of Medicine, La Jolla, California, USA.
Michael E HahnDepartment of Radiology, UC San Diego School of Medicine, La Jolla, California, USA.
Anders M DaleDepartment of Radiology, UC San Diego School of Medicine, La Jolla, California, USA.
Tyler M SeibertDepartment of Radiation Medicine and Applied Sciences, UC San Diego School of Medicine, La Jolla, California, USA.ORCID 0000-0002-4089-7399
UC San Diego Health System · USUniversity of California San Diego · US

Funding

Improving assessment of prostate cancer bone metastases using advanced diffusion imagingK08EB026503 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SEIBERT, TYLER MICHAEL · 2019 to 2022
$805k
NCI NIH HHS L30 CA231417NIBIB NIH HHS K08 EB026503
6 · The paper itself

Abstract

backgroundDiffusion magnetic resonance imaging (MRI) is integral to detection of prostate cancer (PCa), but conventional apparent diffusion coefficient (ADC) cannot capture the complexity of prostate tissues and tends to yield noisy images that do not distinctly highlight cancer. A four-compartment restriction spectrum imaging (RSI PURPOSE: To evaluate the slowest diffusion compartment of a four-compartment spectrum imaging model (RSI STUDY TYPE: Retrospective. SUBJECTS: Forty-six men who underwent an extended MRI acquisition protocol for suspected PCa. Twenty-three men had benign prostates, and the other 23 men had PCa. FIELD STRENGTH/SEQUENCE: A 3 T, multishell diffusion-weighted and axial T2-weighted sequences. ASSESSMENT: High-confidence cancer voxels were delineated by expert consensus, using imaging data and biopsy results. The entire prostate was considered benign in patients with no detectable cancer. Diffusion images were used to calculate RSI STATISTICAL TESTS: Voxel-level discrimination of PCa from benign prostate tissue was assessed via receiver operating characteristic (ROC) curves generated by bootstrapping with patient-level case resampling. RSI

resultsRSI DATA

conclusionRSI EVIDENCE LEVEL: 3 TECHNICAL EFFICACY: Stage 2.

Indexed as

Prostatic NeoplasmsDiffusion Magnetic Resonance ImagingHumansMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMaleRetrospective StudiesROC Curvediffusion magnetic resonance imagingprostate cancerprostate cancer detectionrestriction spectrum imaging

Identifiers

PMID33786915
PMCPMC8363567
OpenAlexW3145389434

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.