Evidence map›Paper›PMID 35540727›Full record

ArticleJB & JS open access

Automatic Registration and Error Color Maps to Improve Accuracy for Navigated Bone Tumor Surgery Using Intraoperative Cone-Beam CT.

Axel Sahovaler, Michael J Daly, Harley H L Chan, Prakash Nayak, Sharon Tzelnick, Michelle Arkhangorodsky, Jimmy Qiu, Robert Weersink, Jonathan C Irish, Peter Ferguson and 1 more

Open access · goldAbstract read
In one paragraph

Article in JB & JS open access. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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 at 2 institutions in 3 countries.

Axel SahovalerGuided Therapeutics (GTx) Program, TECHNA Institute, University Health Network, Toronto, Ontario, Canada.
Michael J DalyGuided Therapeutics (GTx) Program, TECHNA Institute, University Health Network, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0002-5969-0208
Harley H L ChanGuided Therapeutics (GTx) Program, TECHNA Institute, University Health Network, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0002-3379-4834
Prakash NayakGuided Therapeutics (GTx) Program, TECHNA Institute, University Health Network, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0002-8385-2836
Sharon TzelnickGuided Therapeutics (GTx) Program, TECHNA Institute, University Health Network, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0001-7973-3212
Michelle ArkhangorodskyGuided Therapeutics (GTx) Program, TECHNA Institute, University Health Network, Toronto, Ontario, Canada.
Jimmy QiuGuided Therapeutics (GTx) Program, TECHNA Institute, University Health Network, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0002-3686-3081
Robert WeersinkGuided Therapeutics (GTx) Program, TECHNA Institute, University Health Network, Toronto, Ontario, Canada.
Jonathan C IrishGuided Therapeutics (GTx) Program, TECHNA Institute, University Health Network, Toronto, Ontario, Canada.
Peter FergusonGuided Therapeutics (GTx) Program, TECHNA Institute, University Health Network, Toronto, Ontario, Canada.
Jay S WunderGuided Therapeutics (GTx) Program, TECHNA Institute, University Health Network, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0002-5978-9400
University Health Network · CAMount Sinai Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computer-assisted surgery (CAS) can improve surgical precision in orthopaedic oncology. Accurate alignment of the patient's imaging coordinates with the anatomy, known as registration, is one of the most challenging aspects of CAS and can be associated with substantial error. Using intraoperative, on-the-table, cone-beam computed tomography (CBCT), we performed a pilot clinical study to validate a method for automatic intraoperative registration. Methods: Patients who were ≥18 years of age, had benign bone tumors, and underwent resection were prospectively enrolled. In addition to inserting a navigation tracking tool into the exposed bone adjacent to the surgical field, 2 custom plastic ULTEM tracking tools (UTTs) were attached to each patient's skin adjacent to the tumor using an adhesive. These were automatically localized within the 3-dimensional CBCT volume to be used as image landmarks for registration, and the corresponding tracker landmarks were captured using an infrared camera. The main outcomes were the fiducial registration error (FRE) and the target registration error (TRE). The navigation time was recorded. Results: Thirteen patients with benign tumors in the femur (n = 10), tibia (n = 2), and humerus (n = 1) underwent navigation-assisted resections. The mean values were 0.67 ± 0.15 mm (range, 0.47 to 0.97 mm) for FRE and 0.83 ± 0.51 mm (range, 0.42 to 2.28 mm) for TRE. Registration was successful in all cases. The mean time for CBCT imaging and tracker registration was 7.5 minutes. Conclusions: We present a novel automatic registration method for CAS exploiting intraoperative CBCT capabilities, which provided improved accuracy and reduced operative times compared with more traditional methods. Clinical Relevance: This proof-of-principle study validated a novel process for automatic registration to improve the accuracy of resecting bone tumors using a surgical navigation system.

Identifiers

PMID35540727
PMCPMC9071254
OpenAlexW4280621283

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.