Evidence map›Paper›PMID 37334125›Full record

ArticlePeerJ2023

Integration of statistical shape modeling and alternating interpolation-based model tracking technique for measuring knee kinematics

Hsuan-Yu Lu, Cheng-Chung Lin, Kao-Shang Shih, Tung-Wu Lu, Mei-Ying Kuo, Song-Ying Li, Horng-Chaung Hsu

Abstract read
In one paragraph

Article in PeerJ, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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.

Hsuan-Yu Lu *Department of Biomedical Engineering, National Taiwan University, Taipei, Taiwan, R.O.C.
Cheng-Chung Lin *Department of Electrical Engineering, Fu-Jen Catholic University, New Taipei, Taiwan, R.O.C.
Kao-Shang ShihDepartment of Orthopedics, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan, R.O.C.
Tung-Wu LuDepartment of Biomedical Engineering, National Taiwan University, Taipei, Taiwan, R.O.C.
Mei-Ying KuoDepartment of Physical Therapy, China Medical University, Taichung, Taiwan, R.O.C.
Song-Ying LiDepartment of Biomedical Engineering, National Taiwan University, Taipei, Taiwan, R.O.C.
Horng-Chaung HsuDepartment of Orthopaedic Surgery, China Medical University, Taichung, Taiwan, R.O.C.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A 2D fluoroscopy/3D model-based registration with statistical shape modeling (SSM)-reconstructed subject-specific bone models will help reduce radiation exposure for 3D kinematic measurements of the knee using clinical alternating bi-plane fluoroscopy systems. The current study aimed to develop such an approach and evaluate in vivo its accuracy and identify the effects of the accuracy of SSM models on the kinematic measurements. Methods: An alternating interpolation-based model tracking (AIMT) approach with SSM-reconstructed subject-specific bone models was used for measuring 3D knee kinematics from dynamic alternating bi-plane fluoroscopy images. A two-phase optimization scheme was used to reconstruct subject-specific knee models from a CT-based SSM database of 60 knees using one, two, or three pairs of fluoroscopy images. Using the CT-reconstructed model as a benchmark, the performance of the AIMT with SSM-reconstructed models in measuring bone and joint kinematics during dynamic activity was evaluated in terms of mean target registration errors (mmTRE) for registered bone poses and the mean absolute differences (MAD) for each motion component of the joint poses. Results: The mmTRE of the femur and tibia for one image pair were significantly greater than those for two and three image pairs without significant differences between two and three image pairs. The MAD was 1.16 to 1.22° for rotations and 1.18 to 1.22 mm for translations using one image pair. The corresponding values for two and three image pairs were 0.75 to 0.89° and 0.75 to 0.79 mm; and 0.57 to 0.79° and 0.6 to 0.69 mm, respectively. The MAD values for one image pair were significantly greater than those for two and three image pairs without significant differences between two and three image pairs. Conclusions: An AIMT approach with SSM-reconstructed models was developed, enabling the registration of interleaved fluoroscopy images and SSM-reconstructed models from more than one asynchronous fluoroscopy image pair. This new approach had sub-millimeter and sub-degree measurement accuracy when using more than one image pair, comparable to the accuracy of CT-based methods. This approach will be helpful for future kinematic measurements of the knee with reduced radiation exposure using 3D fluoroscopy with clinically alternating bi-plane fluoroscopy systems.

Indexed as

Imaging, Three-DimensionalKneeBiomechanical PhenomenaFluoroscopyHumansKnee Joint3D/2D image registrationAsynchronous fluoroscopy imageKnee kinematicsStatistical shape model-based model

Identifiers

PMID37334125
PMCPMC10276557

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.