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Scientific articles

Toward autonomous robotic prostate biopsy: a pilot study

By 11 August 2021No Comments

Bogdan Maris, Chiara Tenga, Rudy Vicario, Luigi Palladino, Noe Murr, Michela De Piccoli, Andrea Calanca, Stefano Puliatti, Salvatore Micali, Alessandro Tafuri, Paolo Fiorini

Abstract

Purpose: We present the validation of PROST, a robotic device for prostate biopsy. PROST is designed to minimize human error by introducing some autonomy in the execution of the key steps of the procedure, i.e., target selection, image fusion and needle positioning. The robot allows executing a targeted biopsy through ultrasound (US) guidance and fusion with magnetic resonance (MR) images, where the target was defined.

Methods: PROST is a parallel robot with 4 degrees of freedom (DOF) to orient the needle and 1 DOF to rotate the US probe. We reached a calibration error of less than 2 mm, computed as the difference between the needle positioning in robot coordinates and in the US image. The autonomy of the robot is given by the image analysis software, which employs deep learning techniques, the integrated image fusion algorithms and automatic computation of the needle trajectory. For safety reasons, the insertion of the needle is assigned to the doctor.

Results: System performance was evaluated in terms of positioning accuracy. Tests were performed on a 3D printed object with nine 2-mm spherical targets and on an anatomical commercial phantom that simulates human prostate with three lesions and the surrounding structures. The average accuracy reached in the laboratory experiments was [Formula: see text] in the first test and [Formula: see text] in the second test.

Conclusions: We introduced a first prototype of a prostate biopsy robot that has the potential to increase the detection of clinically significant prostate cancer and, by including some level of autonomy, to simplify the procedure, to reduce human errors and shorten training time. The use of a robot for the biopsy of the prostate will create the possibility to include also a treatment, such as focal ablation, to be delivered through the same system.

Keywords: Automatic segmentation; Image fusion; Medical robotics; Prostate biopsy; Robot-assisted biopsy.

© 2021. The Author(s).

Conflict of interest statement

The authors declare that they have no conflict of interest.

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Stefano Puliatti

Stefano Puliatti

Il Dr. Puliatti si è laureato in Medicina e chirurgia nel 2012 presso l’Università degli Studi di Modena ed ha poi conseguito il titolo di specialista in Urologia con il massimo dei voti presso lo stesso Ateneo. Da Luglio 2019 ricopre il ruolo di Assistant Professor in Urologia presso l'Università di Modena e Reggio Emilia. Da Luglio 2019 ricopre anche il ruolo di Deputy Medical Director of ORSI Academy, Melle, Belgio e svolge attività clinica e chirurgica presso OLV (Onze Lieve Vrouwziekenhuis) Hospital in Aalst, Belgio (direttore: Prof. Alex Mottrie). La sua formazione si è incentrata in particolare sulla Chirurgia robotica e oncologica delle vie urinarie, avendo come principali campi di applicazione anche tumori e malattie della prostata, tumori del rene e delle alte vie urinarie, disturbi minzionali, calcolosi delle vie urinarie. È inoltre autore e coautore di articoli scientifici e capitoli di libro in ambito urologico. Attualmente svolge attività in libera professione presso diverse strutture situate a Modena e Provincia.