Evidence map›Paper›PMID 26194485›Full record

ArticleInternational journal of computer assisted radiology and surgery2015

Intraoperative CT as a registration benchmark for intervertebral motion compensation in image-guided open spinal surgery.

Songbai Ji, Xiaoyao Fan, Keith D Paulsen, David W Roberts, Sohail K Mirza, S Scott Lollis

Open access · greenAbstract read
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. A level-wise spine registration framework to account for large pose changes.International journal of computer assisted radiology and surgery · 2021
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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

6 authors at 1 institution in 1 country.

Songbai JiThayer School of Engineering, Dartmouth College, 14 Engineering Drive, Hanover, NH, 03755, USA. Songbai.Ji@Dartmouth.edu.
Xiaoyao FanThayer School of Engineering, Dartmouth College, 14 Engineering Drive, Hanover, NH, 03755, USA.
Keith D PaulsenThayer School of Engineering, Dartmouth College, 14 Engineering Drive, Hanover, NH, 03755, USA.
David W RobertsGeisel School of Medicine, Dartmouth College, Hanover, NH, 03755, USA.
Sohail K MirzaGeisel School of Medicine, Dartmouth College, Hanover, NH, 03755, USA.
S Scott LollisGeisel School of Medicine, Dartmouth College, Hanover, NH, 03755, USA.
Dartmouth College · US

Funding

SYNERGY: The Dartmouth Center for clinical and Translational ScienceKL2TR001088 · NCATS · DARTMOUTH COLLEGE · PI GREEN, ALAN I · 2013 to 2017
$3.3M
Measuring Material Properties of the Human Brain in vivoR21NS078607 · NINDS · DARTMOUTH COLLEGE · PI JI, SONGBAI · 2012 to 2013
$417k
NCATS NIH HHS KL2 TR001088NCATS NIH HHS KL2TR001088NINDS NIH HHS R21 NS078607
6 · The paper itself

Abstract

purposeAn accurate and reliable benchmark of registration accuracy and intervertebral motion compensation is important for spinal image guidance. In this study, we evaluated the utility of intraoperative CT (iCT) in place of bone-implanted screws as the ground-truth registration and illustrated its use to benchmark the performance of intraoperative stereovision (iSV).

methodsA template-based, multi-body registration scheme was developed to individually segment and pair corresponding vertebrae between preoperative CT and iCT of the spine. Intervertebral motion was determined from the resulting vertebral pair-wise registrations. The accuracy of the image-driven registration was evaluated using surface-to-surface distance error (SDE) based on segmented bony features and was independently verified using point-to-point target registration error (TRE) computed from bone-implanted mini-screws. Both SDE and TRE were used to assess the compensation accuracy using iSV.

resultsThe iCT-based technique was evaluated on four explanted porcine spines (20 vertebral pairs) with artificially induced motion. We report a registration accuracy of 0.57 [Formula: see text] 0.32 mm (range 0.34-1.14 mm) and 0.29 [Formula: see text] 0.15 mm (range 0.14-0.78 mm) in SDE and TRE, respectively, for all vertebrae pooled, with an average intervertebral rotation of [Formula: see text] (range 1.5[Formula: see text]-7.9[Formula: see text]). The iSV-based compensation accuracy for one sample (four vertebrae) was 1.32 [Formula: see text] 0.19 mm and 1.72 [Formula: see text] 0.55 mm in SDE and TRE, respectively, exceeding the recommended accuracy of 2 mm.

conclusionThis study demonstrates the effectiveness of iCT in place of invasive fiducials as a registration ground truth. These findings are important for future development of on-demand spinal image guidance using radiation-free images such as stereovision and ultrasound on human subjects.

Indexed as

MovementAnimalsBenchmarkingBone ScrewsDisease Models, AnimalFemaleLumbar VertebraeMaleMotionSpinal InjuriesSurgery, Computer-AssistedSwineTomography, X-Ray ComputedFusion surgeryIntervertebral motionIntraoperative CTMotion compensationPatient registrationRegistration accuracySpinal surgery

Identifiers

PMID26194485
PMCPMC4734629
OpenAlexW984285359

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.