Evidence map›Paper›PMID 41691232›Full record

ArticleBMC urology2026

How lesions proportional density shapes MRI cognitive fusion biopsy outcomes; finding the needle in the haystack.

Volkan Sen, Ege A Sarikaya, Can Sinirsiz, Can Ahmet Karabacak, Muhammed Selcuk Ozer, Canan Altay, Burcin Tuna, Kutsal Yorukoglu, Ozan Bozkurt, Ilhan Celebi

Abstract read
In one paragraph

Article in BMC urology, 2026. 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

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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.

Volkan SenFaculty of Medicine, Department of Urology Turkey, Dokuz Eylül University, İzmir, Turkey.
Ege A SarikayaFaculty of Medicine, Department of Urology Turkey, Dokuz Eylül University, İzmir, Turkey. ege.sarikaya@deu.edu.tr.
Can SinirsizFaculty of Medicine, Department of Urology Turkey, Dokuz Eylül University, İzmir, Turkey.
Can Ahmet KarabacakFaculty of Medicine, Department of Urology Turkey, Dokuz Eylül University, İzmir, Turkey.
Muhammed Selcuk OzerFaculty of Medicine, Department of Urology Turkey, Dokuz Eylül University, İzmir, Turkey.
Canan AltayFaculty of Medicine, Department of Radiology Turkey, Dokuz Eylül University, İzmir, Turkey.
Burcin TunaFaculty of Medicine, Department of Pathology Turkey, Dokuz Eylül University, İzmir, Turkey.
Kutsal YorukogluFaculty of Medicine, Department of Pathology Turkey, Dokuz Eylül University, İzmir, Turkey.
Ozan BozkurtFaculty of Medicine, Department of Urology Turkey, Dokuz Eylül University, İzmir, Turkey.
Ilhan CelebiFaculty of Medicine, Department of Urology Turkey, Dokuz Eylül University, İzmir, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the importance of lesion density (lesion volume/prostate volume) on prostate cancer (PCa) and clinically significant prostate cancer (csPCa) detection rates in cognitive targeted biopsy (cTB). MATERIALS AND

methods300 consecutive patients who underwent combined transrectal cTB and systematic transrectal prostate biopsy were included retrospectively. Lesion density was calculated as the largest lesion volume divided by prostate volume. According to ROC analysis and Youden’s index, patients were grouped into low lesion density (Low-LD) and high lesion density (High-LD) groups. Detection rates of PCa and csPCa were compared. Subgroup analyses were performed for high PI-RADS lesions ( 4–5) and anatomical zones.

resultsMean lesion diameter and prostate volume were 14.1 ± 7.2 mm and 83.9 ± 42.8 mm³, respectively. High lesion density was independently associated with csPCa in univariate and multivariate analysis (p < 0.05). PCa and csPCa detection rates were significantly higher in the High-LD group (53.6% vs. 32.0%, p < 0.001; and 37.1% vs. 16.7%, p < 0.001, respectively). Similar results were observed when only MRI-targeted cores were analysed. Subgroup analysis of PI-RADS 4–5 lesions confirmed that csPCa detection rates were also higher in High-LD group (39.0% vs. 21.5%, p = 0.005). csPCa detection was lowest in anterior lesions, especially in Low-LD patients (6%).

conclusionsLesion density significantly affects the diagnostic accuracy of cTB. Patients with low lesion density have lower csPCa detection rates and may benefit from software-assisted fusion targeting over cognitive targeting.

Indexed as

Image-Guided BiopsyMagnetic Resonance ImagingMagnetic Resonance Imaging, InterventionalProstateProstatic NeoplasmsAgedHumansMaleMiddle AgedRetrospective StudiesCognitive targeted biopsyLesion densityMultiparametric MRIPI-RADSProstate cancer

Identifiers

PMID41691232
PMCPMC12906050

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