Abdulsalam Mohammed Alqahtani

1 month ago | preprints.org | Abdulsalam Mohammed Alqahtani |Chunhui Li |Ghulam Nabi

You are already at the latest version Background: Upper tract urothelial carcinoma (UTUC) often presents with aggressive behaviour, challenging early diagnosis and precise risk stratification. This study explores whether radiomic features extracted from perirenal fat (PRF) around the tumour provide complementary diagnostic and prognostic value beyond conventional tumour-based radiomics. Methods: A retrospective cohort of 103 UTUC patients undergoing radical nephroureterectomy was analysed.

Nov 8, 2024 | mdpi.com | Abdulsalam Mohammed Alqahtani |Chunhui Li |Ghulam Nabi |Abdulrahman Al Mopti

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Sep 24, 2024 | preprints.org | Chunhui Li |Ghulam Nabi |Abdulsalam Mohammed Alqahtani

Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 23 September 2024 / Approved: 24 September 2024 / Online: 25 September 2024 (04:21:39 CEST) Al Mopti, A. N. M.; Alqahtani, A. M.; Alshehri, A. H. D.; Li, C.; Nabi, G. Perirenal Fat CT Radiomics-Based Survival Model for Upper Tract Urothelial Carcinoma: Integrating Texture Features with Clinical Predictors. Preprints 2024, 2024091945. https://doi.org/10.20944/preprints202409.1945.v1 Al Mopti, A. N. M.; Alqahtani, A.