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Advanced Search Results For "Ottavio de Cobelli"

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 "Ottavio de Cobelli"
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Neuraxial anesthesia versus general anesthesia in patients undergoing three-dimensional laparoscopic radical prostatectomy: Preliminary results of a prospective comparative study

Publication Type: Academic Journal

Source(s): Asian Journal of Urology, Vol 10, Iss 3, Pp 329-336 (2023)

Abstract: Objective: Neuraxial anesthesia (NA) showed to reduce both morbidity and mortality in patients undergoing laparoscopic surgery. We aimed to investigate the use of NA in patients undergoing transperitoneal three-dimensional laparoscopic radical prostate...

Assessment of the VENUSS and GRANT Models for Individual Prediction of Cancer-specific Survival in Surgically Treated Nonmetastatic Papillary Renal Cell Carcinoma

Publication Type: Academic Journal

Source(s): European Urology Open Science, Vol 53, Iss , Pp 109-115 (2023)

Abstract: Background: Guidelines recommend VENUSS and GRANT models for the prediction of cancer control outcomes after nephrectomy for nonmetastatic papillary renal cell carcinoma (pRCC). Objective: To test the ability of VENUSS and GRANT models to predict 5-yr ...

Ileal Conduit Versus Orthotopic Neobladder Urinary Diversion in Robot-assisted Radical Cystectomy: Results from a Multi-institutional Series

Publication Type: Academic Journal

Source(s): European Urology Open Science, Vol 50, Iss , Pp 47-56 (2023)

Abstract: Background: Head-to-head comparisons between ileal conduit (IC) and orthotopic neobladder (ONB) in terms of peri- and postoperative outcomes and complications, in the specific setting of robot-assisted radical cystectomy (RARC), are not available. Obje...

Combined Reporting of Surgical Quality and Cancer Control after Surgical Treatment for Penile Tumors with Inguinal Lymph Node Dissection: The Tetrafecta Achievement

Publication Type: Academic Journal

Source(s): Current Oncology, Vol 30, Iss 146, Pp 1882-1892 (2023)

Abstract: Background: To optimize results reporting after penile cancer (PC) surgery, we proposed a Tetrafecta and assessed its ability to predict overall survival (OS) probabilities. Methods: A purpose-built multicenter, multi-national database was queried for ...

Comparison of automated segmentation techniques for magnetic resonance images of the prostate

Publication Type: Academic Journal

Source(s): BMC Medical Imaging, Vol 23, Iss 1, Pp 1-16 (2023)

Abstract: Abstract Background Contouring of anatomical regions is a crucial step in the medical workflow and is both time-consuming and prone to intra- and inter-observer variability. This study compares different strategies for automatic segmentation of the pro...

Artificial intelligence and radiomics in evaluation of kidney lesions: a comprehensive literature review

Publication Type: Academic Journal

Source(s): Therapeutic Advances in Urology, Vol 15 (2023)

Abstract: Radiomics and artificial intelligence (AI) may increase the differentiation of benign from malignant kidney lesions, differentiation of angiomyolipoma (AML) from renal cell carcinoma (RCC), differentiation of oncocytoma from RCC, differentiation of dif...

Artificial Intelligence in the Advanced Diagnosis of Bladder Cancer-Comprehensive Literature Review and Future Advancement

Publication Type: Academic Journal

Source(s): Diagnostics, Vol 13, Iss 2308, p 2308 (2023)

Abstract: Artificial intelligence is highly regarded as the most promising future technology that will have a great impact on healthcare across all specialties. Its subsets, machine learning, deep learning, and artificial neural networks, are able to automatical...

High-performance prediction models for prostate cancer radiomics

Publication Type: Academic Journal

Source(s): Informatics in Medicine Unlocked, Vol 37, Iss , Pp 101161- (2023)

Abstract: When researchers are faced with building machine learning (ML) radiomic models, the first choice they have to make is what model to use. Naturally, the goal is to use the model with the best performance. But what is the best model? It is well known in ...

Quality assurance for automatically generated contours with additional deep learning

Publication Type: Academic Journal

Source(s): Insights into Imaging, Vol 13, Iss 1, Pp 1-10 (2022)

Abstract: Abstract Objective Deploying an automatic segmentation model in practice should require rigorous quality assurance (QA) and continuous monitoring of the model’s use and performance, particularly in high-stakes scenarios such as healthcare. Currently, h...

Life style and interaction with microbiota in prostate cancer patients undergoing radiotherapy: study protocol for a randomized controlled trial

Publication Type: Academic Journal

Source(s): BMC Cancer, Vol 22, Iss 1, Pp 1-10 (2022)

Abstract: Abstract Background Prostate cancer (PCa) is the second most common cancer in men worldwide. The standard non-surgical approach for localized PCa is radiotherapy (RT), but one of the limitations of high-dose RT is the potential increase in gastrointest...