Evidence map›Paper›PMID 34224068›Full record

ArticleInternational journal of computer assisted radiology and surgery2021

Toward autonomous robotic prostate biopsy: a pilot study.

Bogdan Maris, Chiara Tenga, Rudy Vicario, Luigi Palladino, Noe Murr, Michela De Piccoli, Andrea Calanca, Stefano Puliatti, Salvatore Micali, Alessandro Tafuri and 1 more

Abstract read
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Automatic and accurate needle detection in 2D ultrasound during robot-assisted needle insertion process.International journal of computer assisted radiology and surgery · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Bogdan MarisDepartment of Computer Science, University of Verona, Verona, Italy. bogdan.maris@univr.it.ORCID http://orcid.org/0000-0003-2771-3337
Chiara TengaDepartment of Computer Science, University of Verona, Verona, Italy.
Rudy VicarioDepartment of Computer Science, University of Verona, Verona, Italy.
Luigi PalladinoDepartment of Computer Science, University of Verona, Verona, Italy.
Noe MurrDepartment of Computer Science, University of Verona, Verona, Italy.
Michela De PiccoliDepartment of Computer Science, University of Verona, Verona, Italy.
Andrea CalancaDepartment of Computer Science, University of Verona, Verona, Italy.
Stefano PuliattiDepartment of Urology, University of Modena and Reggio Emilia, Modena, Italy.
Salvatore MicaliDepartment of Urology, University of Modena and Reggio Emilia, Modena, Italy.
Alessandro TafuriDepartment of Urology, University of Verona, Verona, Italy.
Paolo FioriniDepartment of Computer Science, University of Verona, Verona, Italy.

Funding

ERC-2019-POC 875523
6 · The paper itself

Abstract

purposeWe 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.

methodsPROST 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.

resultsSystem 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.

conclusionsWe 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.

Indexed as

SoftwareBiopsy, NeedleHumansImage-Guided BiopsyImage Processing, Computer-AssistedMagnetic Resonance ImagingMalePhantoms, ImagingPilot ProjectsProstatic NeoplasmsRoboticsUltrasonographyAutomatic segmentationImage fusionMedical roboticsProstate biopsyRobot-assisted biopsy

Identifiers

PMID34224068
PMCPMC8295108

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.