Integrating Genomic Classifiers and Nonsuspicious Magnetic Resonance Imaging Findings in Predictive Modelling for Lymph Node Metastasis in Patients With Localized Prostate Cancer
We developed the nomogram that integrate clinical, radiological, histological and genomic parameters to predict lymph node metastases during prostatectomy. This will avoid unnecessary lymphadenectomy at cost of missing of few metastases.
Authors
- Ash Tewari (ORCID: https://orcid.org/0000-0003-0888-7585)
- Osama Zaytoun (ORCID: https://orcid.org/0000-0001-6930-289X)
- Vinayak Wagaskar (ORCID: https://orcid.org/0000-0001-8027-6661)
- Neeraja Tillu
- Kaushik P. Kolanukuduru (ORCID: https://orcid.org/0009-0001-9525-2600)
- Manish Kumar Choudhary (ORCID: https://orcid.org/0000-0002-2934-1189)
- Yashaswini Agarwal
- Ashutosh Maheshwari (ORCID: https://orcid.org/0000-0002-7107-0933)
Institutions
- Icahn School of Medicine at Mount Sinai (US)
Publication Details
- Journal
- Clinical Genitourinary Cancer
- Published
- 2025-04-22
- DOI
- https://doi.org/10.1016/j.clgc.2025.102364
- Citations
- 1
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.52