Clinical Validation of a Novel Robotic Device for MR-guided Prostate Biopsy: Initial Patient Experience

Magnetic resonance imaging (MRI)-guided transperineal targeted prostate biopsy has the potential to provide a precise cancer diagnosis. However, it is challenged by targeting errors and needle deflection. The main issue is that the traditional needle guides have limited degrees of freedom (DoF) and therefore restrict insertion path options. Thus, the targeting error can be larger than 5[Formula: see text]mm. This study evaluates the performance of a custom-built 4-DoF needle guiding device designed to enable alternative insertion paths. The 4-DoF Smart Template was designed to improve image quality and stability, including redesigned fiducials and titanium positioning frames. Four MRI-guided biopsy cases were conducted. Targets were identified on T2-weighted images, and insertion paths were planned and adjusted to avoid critical structures. The targeting error was measured as the in-plane distance between the target and the actual needle position. The average targeting error of the best insertion attempt was 3.7[Formula: see text]mm ± 2.6[Formula: see text]mm (mean ± standard deviation). When discarding the case where the device had to be removed due to patient anatomy, the average targeting error was reduced to 2.7[Formula: see text]mm ± 1.1[Formula: see text]mm. No adverse events were reported. The new 4-DoF Smart Template device has demonstrated improved accuracy as compared to the traditional needle guide device, successfully reaching the target location with just one insertion in four out of six targets.

Authors

Institutions

Publication Details

Journal
Journal of Medical Robotics Research
Published
2026-02-19
DOI
https://doi.org/10.1142/s2424905x26500042
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Clinical Validation of a Novel Robotic Device for MR-guided Prostate Biopsy: Initial Patient Experience

Mariana C. Bernardes, Jesung Park, Kemal Tuncali, John P. Grimble et al.
Journal of Medical Robotics Research
Soft Robotics and Applications
article

Clinical Validation of a Novel Robotic Device for MR-guided Prostate Biopsy: Initial Patient Experience

Mariana C. Bernardes, Jesung Park, Kemal Tuncali, John P. Grimble, Junichi Tokuda, Pedro Moreira
article en

Abstract

Magnetic resonance imaging (MRI)-guided transperineal targeted prostate biopsy has the potential to provide a precise cancer diagnosis. However, it is challenged by targeting errors and needle deflection. The main issue is that the traditional needle guides have limited degrees of freedom (DoF) and therefore restrict insertion path options. Thus, the targeting error can be larger than 5[Formula: see text]mm. This study evaluates the performance of a custom-built 4-DoF needle guiding device designed to enable alternative insertion paths. The 4-DoF Smart Template was designed to improve image quality and stability, including redesigned fiducials and titanium positioning frames. Four MRI-guided biopsy cases were conducted. Targets were identified on T2-weighted images, and insertion paths were planned and adjusted to avoid critical structures. The targeting error was measured as the in-plane distance between the target and the actual needle position. The average targeting error of the best insertion attempt was 3.7[Formula: see text]mm ± 2.6[Formula: see text]mm (mean ± standard deviation). When discarding the case where the device had to be removed due to patient anatomy, the average targeting error was reduced to 2.7[Formula: see text]mm ± 1.1[Formula: see text]mm. No adverse events were reported. The new 4-DoF Smart Template device has demonstrated improved accuracy as compared to the traditional needle guide device, successfully reaching the target location with just one insertion in four out of six targets.

Journal of Medical Robotics Research
Brigham and Women's Hospital (US), Physical Sciences (United States) (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 51%
Soft Robotics and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.