Evidence map›Paper›PMID 28697790›Full record

ArticleJournal of orthopaedic surgery and research2017

Fully automated segmentation of callus by micro-CT compared to biomechanics.

Oliver Bissinger, Carolin Götz, Klaus-Dietrich Wolff, Alexander Hapfelmeier, Peter Michael Prodinger, Thomas Tischer

Open access · goldAbstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Adaptive Image Segmentation Reveals Substantial Cortical Bone Remodeling During Early Fracture Repair.Computer methods in biomechanics and biomedical engineering. Imaging & visualization · 2024
    Article
  4. A new method for segmentation and analysis of bone callus in rodent fracture models using micro-CT.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2023
    Article
  5. Assessment of Bone Fracture Healing Using Micro-Computed Tomography.Journal of visualized experiments : JoVE · 2022
    Article
  6. 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

6 authors at 1 institution in 1 country.

Oliver BissingerDepartment of Oral and Maxillofacial Surgery, Klinikum rechts der Isar der Technischen Universität München, Ismaninger Str. 22, 81675, Munich, Germany. oliver.bissinger@tum.de.
Carolin GötzDepartment of Oral and Maxillofacial Surgery, Klinikum rechts der Isar der Technischen Universität München, Ismaninger Str. 22, 81675, Munich, Germany.
Klaus-Dietrich WolffDepartment of Oral and Maxillofacial Surgery, Klinikum rechts der Isar der Technischen Universität München, Ismaninger Str. 22, 81675, Munich, Germany.
Alexander HapfelmeierInstitute of Medical Statistics and Epidemiology, Klinikum rechts der Isar der Technischen Universität München, Ismaninger Str. 22, 81675, Munich, Germany.
Peter Michael ProdingerDepartment of Orthopaedics and Orthopaedic Sports Medicine, Klinikum rechts der Isar der Technischen Universität München, Ismaninger Str. 22, 81675, Munich, Germany.
Thomas TischerDepartment of Orthopaedics and Orthopaedic Sports Medicine, Klinikum rechts der Isar der Technischen Universität München, Ismaninger Str. 22, 81675, Munich, Germany.
Klinikum rechts der Isar · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA high percentage of closed femur fractures have slight comminution. Using micro-CT (μCT), multiple fragment segmentation is much more difficult than segmentation of unfractured or osteotomied bone. Manual or semi-automated segmentation has been performed to date. However, such segmentation is extremely laborious, time-consuming and error-prone. Our aim was to therefore apply a fully automated segmentation algorithm to determine μCT parameters and examine their association with biomechanics.

methodsThe femura of 64 rats taken after randomised inhibitory or neutral medication, in terms of the effect on fracture healing, and controls were closed fractured after a Kirschner wire was inserted. After 21 days, μCT and biomechanical parameters were determined by a fully automated method and correlated (Pearson's correlation).

resultsThe fully automated segmentation algorithm automatically detected bone and simultaneously separated cortical bone from callus without requiring ROI selection for each single bony structure. We found an association of structural callus parameters obtained by μCT to the biomechanical properties. However, results were only explicable by additionally considering the callus location.

conclusionsA large number of slightly comminuted fractures in combination with therapies that influence the callus qualitatively and/or quantitatively considerably affects the association between μCT and biomechanics. In the future, contrast-enhanced μCT imaging of the callus cartilage might provide more information to improve the non-destructive and non-invasive prediction of callus mechanical properties. As studies evaluating such important drugs increase, fully automated segmentation appears to be clinically important.

Indexed as

AlgorithmsAnimalsBone MarrowBony CallusCortical BoneFemurFractures, ComminutedMaleRatsX-Ray Microtomography3D structural parametersBiomechanicsComminuted fractureFracture healingFully automated segmentationMicro-CT (μCT)Multi-fragmented fractureTrabecular bone

Identifiers

PMID28697790
PMCPMC5505011
OpenAlexW2735031522

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.