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Unveiling the role of harmonization on clinically significant prostate cancer detection using MRI.

• Authors : Abdallah N; LaTIM UMR1101, INSERM, University of Brest, Brest, France. .; University Hospital of Brest, Brest, France. .

Subjects: Prostatic Neoplasms*/Prostatic Neoplasms*/Prostatic Neoplasms*/diagnostic imaging ; Prostatic Neoplasms*/Prostatic Neoplasms*/Prostatic Neoplasms*/diagnosis ; Prostatic Neoplasms*/Prostatic Neoplasms*/Prostatic Neoplasms*/pathology

• Source: Scientific reports [Sci Rep] 2025 Nov 05; Vol. 15 (1), pp. 38750. Date of Electronic Publication: 2025 Nov 05.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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A novel MRI-based habitat analysis and deep learning for predicting perineural invasion in prostate cancer: a two-center study.

• Authors : Deng S; Department of Radiology, Tongde Hospital of Zhejiang Province, No.234, Gucui Road, Hangzhou, Zhejiang Province, 310012, China.; Huang D

Subjects: Prostatic Neoplasms*/Prostatic Neoplasms*/Prostatic Neoplasms*/pathology ; Prostatic Neoplasms*/Prostatic Neoplasms*/Prostatic Neoplasms*/diagnostic imaging ; Deep Learning*

• Source: BMC cancer [BMC Cancer] 2025 Aug 23; Vol. 25 (1), pp. 1367. Date of Electronic Publication: 2025 Aug 23.Publisher: BioMed Central Country of Publication: England NLM ID: 100967800 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2407

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Combining multi-parametric MRI radiomics features with tumor abnormal protein to construct a machine learning-based predictive model for prostate cancer.

• Authors : Zhang C; Department of Urology, The Second Affiliated Hospital of Soochow University, Suzhou, China.; Wang Z

Subjects: Prostatic Neoplasms*/Prostatic Neoplasms*/Prostatic Neoplasms*/diagnostic imaging ; Prostatic Neoplasms*/Prostatic Neoplasms*/Prostatic Neoplasms*/pathology ; Prostatic Neoplasms*/Prostatic Neoplasms*/Prostatic Neoplasms*/metabolism

• Source: Scientific reports [Sci Rep] 2025 Jul 02; Vol. 15 (1), pp. 22816. Date of Electronic Publication: 2025 Jul 02.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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The value of MRI-based radiomics and clinicoradiological data for the detection of forkhead box protein A1 gene mutated prostate cancer.

• Authors : Deng L; Department of Radiology, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, No. 4365, Kangxin Road, Shanghai, 201321, China.; Shanghai Key Laboratory of Radiation Oncology, No. 4365, Kangxin Road, Shanghai, 201321, China.

Subjects: Prostatic Neoplasms*/Prostatic Neoplasms*/Prostatic Neoplasms*/genetics ; Prostatic Neoplasms*/Prostatic Neoplasms*/Prostatic Neoplasms*/diagnostic imaging ; Prostatic Neoplasms*/Prostatic Neoplasms*/Prostatic Neoplasms*/pathology

• Source: Scientific reports [Sci Rep] 2025 Jul 02; Vol. 15 (1), pp. 22929. Date of Electronic Publication: 2025 Jul 02.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Value of integrated PET-IVIM MRI in predicting Ki-67 expression in newly diagnosed prostate cancer.

• Authors : Xiao L; Department of Nuclear Medicine, West China Hospital of Sichuan University, No. 37. Guoxue Alley, Chengdu, 610041, Sichuan, People's Republic of China.; Li Y

Subjects: Prostatic Neoplasms*/Prostatic Neoplasms*/Prostatic Neoplasms*/diagnostic imaging ; Prostatic Neoplasms*/Prostatic Neoplasms*/Prostatic Neoplasms*/metabolism ; Prostatic Neoplasms*/Prostatic Neoplasms*/Prostatic Neoplasms*/pathology

• Source: Scientific reports [Sci Rep] 2025 Jul 01; Vol. 15 (1), pp. 22376. Date of Electronic Publication: 2025 Jul 01.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Predictive Value of Quantitative ADC, SUVmax, and the SUVmax/ADC Ratio for Biological Behavior and Prognosis in High-Risk Prostate Cancer.

• Authors : Ataş, Abdullah Enes¹ (AUTHOR) ; Kerimoğlu, Ülkü^1,2 (AUTHOR); İlhan, Zeki^2,3 (AUTHOR)

• Source: Journal of Clinical Medicine. Oct2025, Vol. 14 Issue 20, p7150. 16p.

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Lesional volume in the prediction of clinically significant prostate cancer.

• Authors : Brodie B; Department of Urology, Singapore General Hospital, Outram Road, 169608, Singapore. .; Peh DYY

Subjects: Prostatic Neoplasms*/Prostatic Neoplasms*/Prostatic Neoplasms*/pathology ; Prostatic Neoplasms*/Prostatic Neoplasms*/Prostatic Neoplasms*/blood ; Prostatic Neoplasms*/Prostatic Neoplasms*/Prostatic Neoplasms*/diagnostic imaging

• Source: World journal of surgical oncology [World J Surg Oncol] 2025 Jul 19; Vol. 23 (1), pp. 290. Date of Electronic Publication: 2025 Jul 19.Publisher: BioMed Central Country of Publication: England NLM ID: 101170544 Publication Model: Electronic Cited Medium: Internet ISSN: 1477-7819

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MRI‐Determined Tumor Contact Area as a Predictor of Pathological Extraprostatic Extension in Clinical T2 Prostate Cancer.

• Authors : Tsujimoto, Masashi¹ (AUTHOR) ; Inoue, Yuta¹ (AUTHOR); Taga, Hideto¹ (AUTHOR)

• Source: Prostate Cancer (20903111). 10/26/2025, Vol. 2025, p1-8. 8p.

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Enhancement of inter-/intra-reader agreement using the Prostate Imaging Reporting and Data System version 2.1 for prostate cancer detection in magnetic resonance imaging/transrectal ultrasound software fusion prostate biopsy.

• Authors : Won Hoon Song^1,2; Tae Un Kim^3,4; Hwa Seong Ryu⁴

• Source: Investigative & Clinical Urology. Sep2025, Vol. 66 Issue 5, p405-415. 17p.

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Artificial Intelligence-Assisted Biparametric MRI for Detecting Prostate Cancer—A Comparative Multireader Multicase Accuracy Study.

• Authors : Nißler, Daniel¹ (AUTHOR); Reimers-Kipping, Sabrina² (AUTHOR); Ingwersen, Maja^1,3 (AUTHOR)

• Source: Journal of Clinical Medicine. Sep2025, Vol. 14 Issue 17, p6111. 15p.

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