Evidence map›Paper›PMID 33341493›Full record

ArticleMedical image analysis2021

Fracture reduction planning and guidance in orthopaedic trauma surgery via multi-body image registration.

R Han, A Uneri, R C Vijayan, P Wu, P Vagdargi, N Sheth, S Vogt, G Kleinszig, G M Osgood, J H Siewerdsen

Abstract read
In one paragraph

Article in Medical image analysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. An automated method for precise definition of fracture reduction targets.Medical & biological engineering & computing · 2026
    Article
  5. Article
  6. Robot-assisted versus conventional percutaneous screw fixation in calcaneal fractures: a retrospective analysis.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025
    Review
  7. Article
  8. Shape-matching-based fracture reduction aid concept exemplified on the proximal humerus-a pilot study.International journal of computer assisted radiology and surgery · 2025
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Multi-Body 3D-2D Registration for Robot-Assisted Joint Reduction: Preclinical Evaluation in the Ankle Syndesmosis.Proceedings of SPIE--the International Society for Optical Engineering · 2023
    Article
  18. Review
  19. Article
  20. 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

10 authors.

R HanDepartment of Biomedical Engineering, The Johns Hopkins University, BaltimoreMD, United States.
A UneriDepartment of Biomedical Engineering, The Johns Hopkins University, BaltimoreMD, United States.
R C VijayanDepartment of Biomedical Engineering, The Johns Hopkins University, BaltimoreMD, United States.
P WuDepartment of Biomedical Engineering, The Johns Hopkins University, BaltimoreMD, United States.
P VagdargiDepartment of Computer Science, The Johns Hopkins University, BaltimoreMD, United States.
N ShethDepartment of Biomedical Engineering, The Johns Hopkins University, BaltimoreMD, United States.
S VogtSiemens Healthineers, ErlangenGermany.
G KleinszigSiemens Healthineers, ErlangenGermany.
G M OsgoodDepartment of Orthopaedic Surgery, The Johns Hopkins Hospital, BaltimoreMD, United States.
J H SiewerdsenDepartment of Biomedical Engineering, The Johns Hopkins University, BaltimoreMD, United States. Electronic address: jeff.siewerdsen@jhu.edu.

Funding

BIOMEDICAL ENGINEERING TRAINING PROGRAMT32GM007057 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI KANOLD, PATRICK O, KARCHIN, RACHEL · 1985 to 2023
$10.4M
Intraoperative Imaging for Guidance, Patient Safety, and OR Quality AssuranceR01EB017226 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI SIEWERDSEN, JEFFREY H · 2014 to 2017
$2.1M
NIBIB NIH HHS R01 EB017226NIGMS NIH HHS T32 GM007057
6 · The paper itself

Abstract

purposesSurgical reduction of pelvic fracture is a challenging procedure, and accurate restoration of natural morphology is essential to obtaining positive functional outcome. The procedure often requires extensive preoperative planning, long fluoroscopic exposure time, and trial-and-error to achieve accurate reduction. We report a multi-body registration framework for reduction planning using preoperative CT and intraoperative guidance using routine 2D fluoroscopy that could help address such challenges.

methodThe framework starts with semi-automatic segmentation of fractured bone fragments in preoperative CT using continuous max-flow. For reduction planning, a multi-to-one registration is performed to register bone fragments to an adaptive template that adjusts to patient-specific bone shapes and poses. The framework further registers bone fragments to intraoperative fluoroscopy to provide 2D fluoroscopy guidance and/or 3D navigation relative to the reduction plan. The framework was investigated in three studies: (1) a simulation study of 40 CT images simulating three fracture categories (unilateral two-body, unilateral three-body, and bilateral two-body); (2) a proof-of-concept cadaver study to mimic clinical scenario; and (3) a retrospective clinical study investigating feasibility in three cases of increasing severity and accuracy requirement.

resultsSegmentation of simulated pelvic fracture demonstrated Dice coefficient of 0.92±0.06. Reduction planning using the adaptive template achieved 2-3 mm and 2-3° error for the three fracture categories, significantly better than planning based on mirroring of contralateral anatomy. 3D-2D registration yielded ~2 mm and 0.5° accuracy, providing accurate guidance with respect to the preoperative reduction plan. The cadaver study and retrospective clinical study demonstrated comparable accuracy: ~0.90 Dice coefficient in segmentation, ~3 mm accuracy in reduction planning, and ~2 mm accuracy in 3D-2D registration.

conclusionThe registration framework demonstrated planning and guidance accuracy within clinical requirements in both simulation and clinical feasibility studies for a broad range of fracture-dislocation patterns. Using routinely acquired preoperative CT and intraoperative fluoroscopy, the framework could improve the accuracy of pelvic fracture reduction, reduce radiation dose, and could integrate well with common clinical workflow without the need for additional navigation systems.

Indexed as

OrthopedicsSurgery, Computer-AssistedBody ImageFluoroscopyFracture FixationHumansImaging, Three-DimensionalRetrospective StudiesTomography, X-Ray Computed3D-2D registrationImage-guided surgeryImage registrationStatistical modelingSurgical planning

Identifiers

PMID33341493
PMCPMC8661907

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.