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Prostate Cancer

Free Subscription Articles published in Mod Pathol Retrieve available abstracts of 15 articles: HTML format

Single Articles

February 2026
1. SERAFIN RB, Lopez JS, Chow S, Wang R, et al
   Detection of prostate cancer in 3D pathology datasets via generative immunolabeling.
   Mod Pathol. 2026 Feb 13:100975. doi: 10.1016/j.modpat.2026.100975.
   PubMed     Abstract available
   
   
   December 2025
2. NATEGHI R, Zhou R, Saft M, Schnauss M, et al
   Artificial Intelligence (AI)-Driven Screening of Equivocal Prostate Immunohistochemistry (IHC) Cases: Development and Validation of a Screening and Cancer Detection Framework.
   Mod Pathol. 2025;38:100904.
   PubMed     Abstract available
   
   
   November 2025
3. ZABIHOLLAHY F, Shi K, Wangulu C, Prassas I, et al
   Clinical Grade Interpretable Artificial Intelligence Tool for Automated Detection of Lymph Node Metastasis in Prostate Cancer.
   Mod Pathol. 2025 Nov 10:100934. doi: 10.1016/j.modpat.2025.100934.
   PubMed     Abstract available
   
   
   October 2025
4. JENNIFER NGUYEN NN, Liu K, Lajkosz K, Bernardino R, et al
   Corrigendum to "Magnetic Resonance Imaging (MRI)-Adapted Prostate Cancer Risk Tool Incorporating Cribriform and Intraductal Carcinoma" (Modern Pathology 2025 Dec;38(12):100852).
   Mod Pathol. 2025;38:100893.
   PubMed    
   
   
   July 2025
5. NGUYEN NJ, Liu K, Lajkosz K, Bernardino R, et al
   MRI-Adapted Prostate Cancer Risk Tool Incorporating Cribriform and Intraductal Carcinoma.
   Mod Pathol. 2025 Jul 25:100852. doi: 10.1016/j.modpat.2025.100852.
   PubMed     Abstract available
   
   
   June 2025
6. CAI Q, Meng X, Sun J, Gagan J, et al
   Prostate Ductal Adenocarcinoma Revisited: Clinicopathological and Genomic Characterization Identifies Heterogenous Group of Diseases with Implications for Patient Management.
   Mod Pathol. 2025;38:100743.
   PubMed     Abstract available
   
   
   May 2025
7. JI X, Salmon R, Mulliqi N, Khan U, et al
   Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence-Assisted Cancer Diagnosis.
   Mod Pathol. 2025;38:100715.
   PubMed     Abstract available
   
   
   January 2025
8. SAMUELI B, Al-Ahmadie H, Chen YB, Gopalan A, et al
   Histopathologic and Molecular Characterization of IDH-Mutant Prostatic Adenocarcinoma.
   Mod Pathol. 2025;38:100616.
   PubMed     Abstract available
   
   
   November 2024
9. FARYNA K, Tessier L, Retamero J, Bonthu S, et al
   Evaluation of Artificial Intelligence-Based Gleason Grading Algorithms "in the Wild".
   Mod Pathol. 2024;37:100563.
   PubMed     Abstract available
   
   
   July 2024
10. WONG PF, McNeil C, Wang Y, Paparian J, et al
    Clinical-Grade Validation of an Autofluorescence Virtual Staining System with Human Experts and a Deep Learning System for Prostate Cancer.
    Mod Pathol. 2024 Jul 26:100573. doi: 10.1016/j.modpat.2024.100573.
    PubMed     Abstract available
    
    
    
11. HARDER C, Pryalukhin A, Quaas A, Eich ML, et al
    Enhancing Prostate Cancer Diagnosis: AI-Driven Virtual Biopsy for Optimal MRI-Targeted Biopsy Approach and Gleason Grading Strategy.
    Mod Pathol. 2024 Jul 17:100564. doi: 10.1016/j.modpat.2024.100564.
    PubMed     Abstract available
    
    
    April 2024
12. PRENDEVILLE S, Kaur H, Ansari S, Alqaqa S, et al
    Somatic Tumor Testing in Prostate Cancer: Experience of a Tertiary-Care Center Including Pathologist-Driven Reflex Testing of Localized Tumors at Diagnosis.
    Mod Pathol. 2024 Apr 6:100489. doi: 10.1016/j.modpat.2024.100489.
    PubMed     Abstract available
    
    
    
13. FERRERO A, Ghelichkhan E, Manoochehri H, Ho MM, et al
    HistoEM: A Pathologist-Guided and Explainable Workflow Using Histogram Embedding for Gland Classification.
    Mod Pathol. 2024;37:100447.
    PubMed     Abstract available
    
    
    March 2024
14. IRMAKCI I, Nateghi R, Zhou R, Vescovo M, et al
    Tissue Contamination Challenges the Credibility of Machine Learning Models in Real World Digital Pathology.
    Mod Pathol. 2024;37:100422.
    PubMed     Abstract available
    
    
    January 2024
15. MIYAMOTO H, Teramoto Y, Numbere N, Wang Y, et al
    Prostate cancer risk stratification by simple scoring of the current pT3 lesions: A proposal for a new pathologic T-staging system.
    Mod Pathol. 2024 Jan 22:100429. doi: 10.1016/j.modpat.2024.100429.
    PubMed     Abstract available
    
    

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