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

To 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). 300 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. Mean 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%). Lesion 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.

Authors

Institutions

Publication Details

Journal
BMC Urology
Published
2026-02-14
DOI
https://doi.org/10.1186/s12894-026-02068-7
Primary Topic
Prostate Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Ege Sarikaya, Muhammed Selçuk Özer, İlhan Çelebi, Canan Altay et al.
BMC Urology
Prostate Cancer Diagnosis and Treatment
article

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

Ege Sarikaya, Muhammed Selçuk Özer, İlhan Çelebi, Canan Altay, Kutsal Yörükoğlu, Can Ahmet Karabacak, Volkan Şen, Ozan Bozkurt, Burçin Tuna, Can Sinirsiz
article en

Abstract

To 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). 300 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. Mean 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%). Lesion 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.

BMC UrologyVol. 26(1)
Dokuz Eylül University (TR), Usak University (TR)
Openalex Percentile: Top 56%
Prostate Cancer Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.