Adalgisa Guerra
Papers
5
Total Citations
49
H-Index
5
About
Adalgisa Guerra is an emerging researcher specializing in prostate cancer imaging, predictive modeling, and surgical risk assessment, with a particular focus on the application of MRI-derived biomarkers to improve clinical decision-making. Her work sits at the intersection of radiology, oncology, and machine learning, addressing one of the most clinically challenging aspects of prostate cancer management: accurately predicting extracapsular extension (ECE) prior to radical prostatectomy. Guerra's most significant contributions involve developing and validating predictive models that integrate MRI semantic features with histological and clinical variables to detect pathology-confirmed ECE, enabling surgeons to make better-informed decisions about nerve-sparing techniques and thereby reducing risks of urinary incontinence and sexual dysfunction. Her 2022 paper establishing early MRI-based biomarkers for ECE has already garnered 14 citations, reflecting rapid uptake in the field. She has further advanced this work by applying machine learning algorithms and comparing analytical frameworks such as decision curve analysis and ROC metrics. Additionally, Guerra has investigated biochemical recurrence-free survival following robotic-assisted radical prostatectomy, linking preoperative imaging findings to longer-term oncological outcomes. Her growing citation record demonstrates meaningful and increasing influence within urological radiology research.
Research Focus
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Top Papers
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