Evidence map›Paper›PMID 34146132›Full record

ArticleAbdominal radiology (New York)2021

Clinical evaluation of a robotic system for precise CT-guided percutaneous procedures.

Shiran Levy, S Nahum Goldberg, Ido Roth, Moran Shochat, Jacob Sosna, Isaac Leichter, Sebastian Flacke

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Abdominal radiology (New York), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
9.9field-weighted citation impact, top 1% 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

22 citing papers in PubMed, 48 citations in OpenAlex.

  1. Trial
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  7. Robotic navigation-assisted percutaneous liver puncture: a pilot study.Quantitative imaging in medicine and surgery · 2025
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  14. CRANE: A Redundant, Multi-Degree-of-Freedom Computed Tomography Robot for Heightened Needle Dexterity within a Medical Imaging Bore.IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society · 2024
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  20. Robotic Tissue Sampling for Safe Post-Mortem Biopsy in Infectious Corpses.IEEE transactions on medical robotics and bionics · 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

7 authors at 2 institutions in 2 countries.

Shiran LevyDepartment of Radiology, Hadassah Medical Organization and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel. Shiran.h2@gmail.com.ORCID http://orcid.org/0000-0002-1112-1815
S Nahum GoldbergDepartment of Radiology, Hadassah Medical Organization and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.
Ido RothDepartment of Research & Development, XACT Robotics, Caesarea, Israel.
Moran ShochatDepartment of Research & Development, XACT Robotics, Caesarea, Israel.
Jacob SosnaDepartment of Radiology, Hadassah Medical Organization and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.
Isaac LeichterDepartment of Radiology, Hadassah Medical Organization and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.
Sebastian FlackeDepartment of Radiology, Lahey Clinic, Tufts University Medical School, Burlington, MA, USA.
Hebrew University of Jerusalem · ILTufts University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess accuracy and compare protocols for CT-guided needle insertion for clinical biopsies using a hands-free robotic system, balancing system accuracy with duration of procedure and radiation dose.

methodsThirty-two percutaneous abdominal and pelvic biopsies were performed and analyzed at two centers (Center 1 n = 11; Center 2 n = 21) as part of an ongoing prospective, multi-center study. CT datasets were obtained for planning and controlled placement of 17 g needles using a patient-mounted, CT-guided robotic system. Planning included target selection, skin entry point, and predetermined checkpoints. Additional CT imaging was performed at checkpoints to confirm needle location and permit stepwise correction of the trajectory. Center 1 used a more conservative approach with multiple checkpoints, whereas Center 2 used fewer checkpoints. Scanning and needle advancement were performed under respiratory gating. Accuracy, radiation dose, and steering duration were compared.

resultsOverall accuracy was 1.6 ± 1.5 mm (1.9 ± 1.2 mm Center 1; 1.5 ± 1.6 mm Center 2; p = 0.55). Mean distance to target was 86.2 ± 27.1 mm (p = 0.18 between centers). Center 1 used 4.6 ± 0.8 checkpoints, whereas Center 2 used 1.8 ± 0.6 checkpoints (p < 0.001). Effective radiation doses were lower for Center 1 than for Center 2 (22.2 ± 12.6 mSv vs. 11.7 ± 4.3 mSv; p = 0.002). Likewise, steering duration (from planning to target) was significantly reduced in relation to the number of checkpoints from 43.8 ± 15.9 min for Center 1 to 30.5 ± 10.2 min for Center 2 (p = 0.008).

conclusionsAccurate needle targeting with < 2 mm error can be achieved in patients when using a CT-guided robotic system. Judicious selection of the number of checkpoints may substantially reduce procedure time and radiation dose without sacrificing accuracy.

Indexed as

Robotic Surgical ProceduresHumansNeedlesPhantoms, ImagingProspective StudiesTomography, X-Ray ComputedBiopsyClinical trialInterventional radiologyNeedle insertionRobotics

Identifiers

PMID34146132
OpenAlexW3172232511

What OpenQuestion holds

Textmetadata
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.