Evidence map›Paper›PMID 30226214›Full record

ArticlePhysics in medicine and biology2018

Evaluation of robot-assisted MRI-guided prostate biopsy: needle path analysis during clinical trials.

Pedro Moreira, Niravkumar Patel, Marek Wartenberg, Gang Li, Kemal Tuncali, Tamas Heffter, Everette C Burdette, Iulian Iordachita, Gregory S Fischer, Nobuhiko Hata and 2 more

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Physics in medicine and biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.1field-weighted citation impact, top 21% of its field
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

16 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Analysis of Needle Placement Error During Prostate Biopsies in Real Clinical Cases: Effects of Needle Tip Orientation and Target Location.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2025
    Article
  6. Acoustic reflector-enabled forward-viewing ultrasound image-guided access.Journal of medical imaging (Bellingham, Wash.) · 2025
    Article
  7. Article
  8. Bevel-Tip Needle Deflection Modeling, Simulation, and Validation in Multi-Layer Tissues.IEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation · 2024
    Article
  9. Article
  10. Motorized template for MRI-guided focal cryoablation of prostate cancer.IEEE transactions on medical robotics and bionics · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Automatic needle tracking using Mask R-CNN for MRI-guided percutaneous interventions.International journal of computer assisted radiology and surgery · 2020
    Article
  16. 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

12 authors at 4 institutions in 1 country.

Pedro MoreiraDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America.ORCID 0000-0003-3946-602X
Niravkumar PatelLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD, United States of America.
Marek WartenbergAutomation and Interventional Medicine Lab, Worcester Polytechnic Institute, Worcester, MA, United States of America.
Gang LiAutomation and Interventional Medicine Lab, Worcester Polytechnic Institute, Worcester, MA, United States of America.
Kemal TuncaliDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America.
Tamas HeffterAcoustic MedSystems Inc., Savoy, IL, United States of America.
Everette C BurdetteAcoustic MedSystems Inc., Savoy, IL, United States of America.
Iulian IordachitaLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD, United States of America.
Gregory S FischerAutomation and Interventional Medicine Lab, Worcester Polytechnic Institute, Worcester, MA, United States of America.
Nobuhiko HataDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America.ORCID 0000-0002-6818-7700
Clare M TempanyDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America.
Junichi TokudaDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America.
Brigham and Women's Hospital · USWorcester Polytechnic Institute · USAcoustic MedSystems (United States) · USJohns Hopkins University · US

Funding

Image Guided Therapy Center - Ultrasound-based sensor system for the monitoring of COVID-19 patientsP41EB015898 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI TEMPANY, CLARE M · 2012 to 2021
$18.9M
Enabling Technologies for MRI-Guided Prostate InterventionsR01CA111288 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TEMPANY, CLARE M · 2006 to 2015
$7.8M
Open Software Platform for Data-Driven Image-Guided Robotic InterventionsR01EB020667 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI DIAZ-MERCADO, YANCY, KRIEGER, AXEL · 2015 to 2024
$4.1M
NCI NIH HHS R01 CA111288NIBIB NIH HHS P41 EB015898NIBIB NIH HHS R01 EB020667
6 · The paper itself

Abstract

While the interaction between a needle and the surrounding tissue is known to cause a significant targeting error in prostate biopsy leading to false-negative results, few studies have demonstrated how it impacts in the actual procedure. We performed a pilot study on robot-assisted MRI-guided prostate biopsy with an emphasis on the in-depth analysis of the needle-tissue interaction in vivo. The data were acquired during in-bore transperineal prostate biopsies in patients using a 4 degrees-of-freedom (DoF) MRI-compatible robot. The anatomical structures in the pelvic area and the needle path were reconstructed from MR images, and quantitatively analyzed. We analyzed each structure individually and also proposed a mathematical model to investigate the influence of those structures in the targeting error using the mixed-model regression. The median targeting error in 188 insertions (27 patients) was 6.3 mm. Both the individual anatomical structure analysis and the mixed-model analysis showed that the deviation resulted from the contact between the needle and the skin as the main source of error. On contrary, needle bending inside the tissue (expressed as needle curvature) did not vary among insertions with targeting errors above and below the average. The analysis indicated that insertions crossing the bulbospongiosus presented a targeting error lower than the average. The mixed-model analysis demonstrated that the distance between the needle guide and the patient skin, the deviation at the entry point, and the path length inside the pelvic diaphragm had a statistically significant contribution to the targeting error (p  <  0.05). Our results indicate that the errors associated with the elastic contact between the needle and the skin were more prominent than the needle bending along the insertion. Our findings will help to improve the preoperative planning of transperineal prostate biopsies.

Indexed as

AgedAged, 80 and overBiopsy, NeedleHumansImage-Guided BiopsyMagnetic Resonance ImagingMaleMiddle AgedPilot ProjectsProstatic NeoplasmsRobotics

Identifiers

PMID30226214
PMCPMC6198326
OpenAlexW2890423894

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.