Jose Maria Abascal

Associate Professor

Universitat Pompeu Fabra

Spain

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Jose Maria Abascal is an Associate Professor at Universitat Pompeu Fabra, located in Spain. His research primarily focuses on the early detection and management of significant prostate cancer through innovative methodologies, including machine learning techniques, clinical data integration, and the assessment of biopsy efficacy. He has contributed to various studies examining the role of digital rectal examination, predictive models, and risk-stratified pathways in prostate cancer detection.

Jose Maria Abascal

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Articles (20)

Developing a Predictive Model for Significant Prostate Cancer Detection in Prostatic Biopsies from Seven Clinical Variables: Is Machine Learning Superior to Logistic Regression?

Integrating radiological and clinical data for clinically significant prostate cancer detection with machine learning techniques

Efficacy of Prostate Biopsies via Transperineal and Transrectal Routes for Significant Prostate Cancer Detection: A Multicenter Paired–Matched Study

Comparing Two Targeted Biopsy Schemes for Detecting Clinically Significant Prostate Cancer in Magnetic Resonance Index Lesions: Two- to Four-Core versus Saturated Transperineal Targeted Biopsy

Effect of 5-Alpha Reductase Inhibitors on Magnetic Resonance Imaging and Prostate Cancer Detection

The Role of Digital Rectal Examination Prostate Volume Category in the Early Detection of Prostate Cancer: Its Correlation with the Magnetic Resonance Imaging Prostate Volume

Evaluating the Quality of Local Programs for Early Detection of Significant Prostate Cancer

External validation of the barcelona magnetic resonance imaging predictive model for detecting significant prostate cancer including men receiving 5-alpha reductase inhibitors

Reducing the demand for magnetic resonance imaging scans and prostate biopsies during the early detection of clinically significant prostate cancer: Applying the Barcelona risk-stratified pathway in Catalonia

The Role of Digital Rectal Examination for Early Detection of Significant Prostate Cancer in the Era of Magnetic Resonance Imaging

A Diagnostic Accuracy Study of Targeted and Systematic Biopsies to Detect Clinically Significant Prostate Cancer, including a Model for the Partial Omission of Systematic Biopsies

A Multicentre Clinical Trial Evaluating a Drop-in Gamma Probe for Minimally Invasive Sentinel Lymph Node Dissection in Prostate Cancer

Are magnetic resonance imaging and targeted biopsies needed in men with serum prostate-specific antigen over 10 ng/ml and an abnormal digital rectal examination?

Comparison of Rotterdam and Barcelona Magnetic Resonance Imaging Risk Calculators for Predicting Clinically Significant Prostate Cancer

A risk‐organised model for clinically significant prostate cancer early detection

A Drop-in Gamma Probe for Minimally Invasive Sentinel Lymph Node Dissection in Prostate Cancer

Stratifying the initial prostate cancer suspicion to avoid magnetic resonance exams by sequencing men according to serum prostate‐specific antigen, digital rectal examination and the prostate‐specific antigen density based on digital rectal prostate volume category

Inducción con timoglobulina: ¿incrementa el riesgo hemorrágico en receptores renales sensibilizados?

A Clinically Significant Prostate Cancer Predictive Model Using Digital Rectal Examination Prostate Volume Category to Stratify Initial Prostate Cancer Suspicion and Reduce Magnetic Resonance Imaging Demand

Sentinel Lymph Node Biopsy in Prostate Cancer Patients: Results From an Injection Technique Targeting the Index Lesion in the Prostate Gland

Collaborators (3)

Nahuel Paesano

Xavier Ruiz Plazas

Trilla Herrera Enrique

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