Evidence map›Paper›PMID 42178958›Full record

ArticleOrthopaedic surgery2026

Autonomous Frameless Spine Registration and Robot-Assisted Surgery.

Amit Kumar, T A Dwarakanath, Gaurav Bhutani, Dwarakanath Srinivas, Aliasgar Moiyadi

Abstract read
In one paragraph

Article in Orthopaedic surgery, 2026. 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

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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

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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. 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

5 authors.

Amit KumarHomi Bhabha National Institute, Mumbai, India.ORCID https://orcid.org/0000-0003-1810-9904
T A DwarakanathHomi Bhabha National Institute, Mumbai, India.ORCID https://orcid.org/0000-0002-6838-6443
Gaurav BhutaniHomi Bhabha National Institute, Mumbai, India.
Dwarakanath SrinivasNational Institute of Mental Health and Neurosciences, Bengaluru, India.
Aliasgar MoiyadiAdvanced Centre for Treatment Research & Education in Cancer, Navi Mumbai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAccurate and efficient patient registration remains a critical challenge in robot-assisted spine surgery, where current methods often rely on invasive bone-mounted frames or intraoperative imaging that increases radiation exposure and procedural complexity.

methodThis article presents a novel non-invasive and contactless spine registration system that integrates a skin-affixed, radiopaque floating-point mask with a robot-mounted monocular camera. The system was evaluated in phantom experiments to quantify registration accuracy and pedicle-screw-axis targeting performance. The system autonomously establishes the pose of the pedicle-screw axis relative to the mask (patient) and surgical robot coordinate systems. A monocular camera mounted on the robot captures live images of the mask in the operating theater, enabling real-time visual recognition and tracking of the mask's elements. Advanced segmentation and pose estimation algorithms compute the spatial relationship between the vertebrae and the mask, accounting for accurate angular displacement between preoperative imaging and intraoperative patient posturing (CT-to-OT shift).

resultsExperimental validation on anatomically curved spine phantoms demonstrates millimeter accuracy in pedicle-screw path localization. The system facilitates accounting for changes in patient configuration from CT scan posture to OT surgical posture to provide an objective and accurate reference for image-guided pedicle screw placement. It eliminates intraoperative imaging while relying on preoperative CT and the registration was completed in under 4 min per vertebra.

conclusionThe proposed system facilitates accounting for changes in patient configuration from CT scanner posture to OT surgical posture to provide an objective and accurate reference for image-guided screw placement, achieving registration within 4 min per vertebra. The invention facilitates frame-free patient registration both in manual and robotic spine surgery. The work lays the foundation for clinical translation through future cadaveric and pilot studies. All results reported in this study are limited to controlled laboratory and phantom conditions. Clinical performance and intraoperative feasibility remain to be established in future patient studies.

Indexed as

Robotic Surgical ProceduresSpineSurgery, Computer-AssistedHumansPedicle ScrewsPhantoms, ImagingTomography, X-Ray Computedautonomous spine registrationcomputer vision in surgeryfloating‐point maskminimally invasive spine navigationnon‐invasive patient registrationpedicle‐screw placement surgery

Identifiers

PMID42178958
PMCPMC13327052

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LicenceCC BY-NC-ND
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Registered trials

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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.