Evidence map›Paper›PMID 41939169›Full record

ArticleJournal of medical physics

Enhancing Prostate Cancer Detection: Integrating Multiparametric Magnetic Resonance Imaging and

Mohammad Hossein Sadeghi, Hamed Bagheri, Mohsen Rajaeinejad, Mohammad Afshar Ardalan, Ismail Karami, Shahryar Sadeghi, Ali Mosadeghkhah, Sedigheh Sina, Farnaz KhajehRahimi, Mahboobeh Sheiki

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Article in Journal of medical physics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Mohammad Hossein SadeghiDepartment of Nuclear Engineering, School of Mechanical Engineering, Shiraz University, Shiraz, Iran.
Hamed BagheriRadiation Biology Research Center, Iran University of Medical Sciences, Tehran, Iran.
Mohsen RajaeinejadRadiation Sciences Research Center (ARSRC), Aja University of Medical Sciences, Tehran, Iran.
Mohammad Afshar ArdalanRadiation Sciences Research Center (ARSRC), Aja University of Medical Sciences, Tehran, Iran.
Ismail KaramiRadiation Sciences Research Center (ARSRC), Aja University of Medical Sciences, Tehran, Iran.
Shahryar SadeghiRadiation Sciences Research Center (ARSRC), Aja University of Medical Sciences, Tehran, Iran.
Ali MosadeghkhahRadiation Sciences Research Center (ARSRC), Aja University of Medical Sciences, Tehran, Iran.
Sedigheh SinaDepartment of Nuclear Engineering, School of Mechanical Engineering, Shiraz University, Shiraz, Iran.
Farnaz KhajehRahimiDepartment of Nuclear Medicine, Abu Ali Sina Hospital, Shiraz University of Paramedical Sciences, Shiraz, Iran.
Mahboobeh SheikiDepartment of Nuclear Engineering, School of Mechanical Engineering, Shiraz University, Shiraz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Early and accurate detection of clinically significant prostate cancer (PCa) is crucial for effective patient management. Traditional diagnostic methods, including systematic biopsy guided by transrectal ultrasound, have limitations in detecting significant cancers. Multiparametric magnetic resonance imaging (mpMRI) has shown promise in overcoming these limitations, but it remains operator-dependent and may miss some significant cases. This study explores the integration of mpMRI with Materials and Methods: This study included 15 patients with suspected PCa, who underwent mpMRI and Results: MpMRI demonstrated an AUC of 0.91, with a sensitivity of 77% and specificity of 89% at the selected threshold (Prostate Imaging-Reporting and Data System 4). PET/CT alone showed an AUC of 0.89, with higher sensitivity (90%) but lower specificity (72%). The combination of mpMRI and PET/CT did not significantly improve the overall diagnostic performance, as indicated by a net reclassification index of -3% ( Conclusions: While

Indexed as

Machine learningmultiparametric magnetic resonance imagingpositron emission tomography scanprostate cancer

Identifiers

PMID41939169
PMCPMC13046190

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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.