Uro
(Dec 2021)
Robot-Aided Prostate Cancer Diagnosis with Fiber Optic Sensing: A Validation Study on Phantoms and Ex-Vivo Tissues
Claudia Pecorella,
Andrea Cirillo,
Bruno Siciliano,
Antonio Iele,
Armando Ricciardi,
Marco Consales,
Andrea Cusano,
Marco Capece,
Giuseppe Celentano,
Roberto La Rocca,
Vincenzo Mirone,
Fanny Ficuciello
Affiliations
Claudia Pecorella
Department of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy
Andrea Cirillo
Department of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy
Bruno Siciliano
Department of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy
Antonio Iele
Department of Engineer, University of Sannio, Via Traiano 3, 82100 Benevento, Italy
Armando Ricciardi
Department of Engineer, University of Sannio, Via Traiano 3, 82100 Benevento, Italy
Marco Consales
Department of Engineer, University of Sannio, Via Traiano 3, 82100 Benevento, Italy
Andrea Cusano
Department of Engineer, University of Sannio, Via Traiano 3, 82100 Benevento, Italy
Marco Capece
Department of Neuroscience, Reproductive and Odontostomatological Sciences University of Naples, Federico II, 80131 Naples, Italy
Giuseppe Celentano
Department of Neuroscience, Reproductive and Odontostomatological Sciences University of Naples, Federico II, 80131 Naples, Italy
Roberto La Rocca
Department of Neuroscience, Reproductive and Odontostomatological Sciences University of Naples, Federico II, 80131 Naples, Italy
Vincenzo Mirone
Department of Neuroscience, Reproductive and Odontostomatological Sciences University of Naples, Federico II, 80131 Naples, Italy
Fanny Ficuciello
Department of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy
DOI
https://doi.org/10.3390/uro1040027
Journal volume & issue
Vol. 1,
no. 4
pp.
245
– 253
Abstract
Read online
Despite technological progress in instrumental diagnostic investigations of the last decade, prostate cancer remains one of the most frequent malignant tumors and the second leading cause of cancer death among men. Although prostate biopsy remains the reference among all diagnosis procedures, it still exposes patients to the risk of developing complications. In this paper, the authors present a novel robotic system for prostate cancer diagnosis aimed at improving the current diagnostic procedures and reducing their undesired effects. The purpose of this work is to validate the proposed methodology by considering experimental analysis on both phantom and ex-vivo prostate tissues.
Keywords
Published in Uro
ISSN
2673-4397 (Online)
Publisher
MDPI AG
Country of publisher
Switzerland
LCC subjects
Medicine: Internal medicine: Specialties of internal medicine: Diseases of the genitourinary system. Urology
Website
https://www.mdpi.com/journal/uro
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