Evidence map›Paper›PMID 36016004›Full record

ArticleSensors (Basel, Switzerland)2022

Wireless Measurements Using Electrical Impedance Spectroscopy to Monitor Fracture Healing.

Naomasa Fukase, Victoria R Duke, Monica C Lin, Ingrid K Stake, Matthieu Huard, Johnny Huard, Meir T Marmor, Michel M Maharbiz, Nicole P Ehrhart, Chelsea S Bahney and 1 more

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. The application of impantable sensors in the musculoskeletal system: a review.Frontiers in bioengineering and biotechnology · 2024
    Review
  9. 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

11 authors.

Naomasa FukaseLinda and Mitch Hart Center for Regenerative & Personalized Medicine at the Steadman Philippon Research Institute, Vail, CO 81657, USA.
Victoria R DukeLinda and Mitch Hart Center for Regenerative & Personalized Medicine at the Steadman Philippon Research Institute, Vail, CO 81657, USA.
Monica C LinUCSF Orthopaedic Trauma Institute, Zuckerberg San Francisco General Hospital, San Francisco, CA 94110, USA.
Ingrid K StakeLinda and Mitch Hart Center for Regenerative & Personalized Medicine at the Steadman Philippon Research Institute, Vail, CO 81657, USA.
Matthieu HuardLinda and Mitch Hart Center for Regenerative & Personalized Medicine at the Steadman Philippon Research Institute, Vail, CO 81657, USA.
Johnny HuardLinda and Mitch Hart Center for Regenerative & Personalized Medicine at the Steadman Philippon Research Institute, Vail, CO 81657, USA.
Meir T MarmorUCSF Orthopaedic Trauma Institute, Zuckerberg San Francisco General Hospital, San Francisco, CA 94110, USA.ORCID 0000-0003-4533-6715
Michel M MaharbizDepartment of Bioengineering, University of California, Berkeley, CA 94720, USA.
Nicole P EhrhartDepartment of Clinical Sciences, Flint Animal Cancer Center, College of Veterinary Medicine, Colorado State University, Fort Collins, CO 80523, USA.
Chelsea S BahneyLinda and Mitch Hart Center for Regenerative & Personalized Medicine at the Steadman Philippon Research Institute, Vail, CO 81657, USA.ORCID 0000-0001-9808-8888
Safa T HerfatUCSF Orthopaedic Trauma Institute, Zuckerberg San Francisco General Hospital, San Francisco, CA 94110, USA.

Funding

Therapeutic Application of Painless Nerve Growth Factor to Accelerate Endochondral Fracture RepairR01AR077761 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BAHNEY, CHELSEA SHIELDS · 2021 to 2025
$3.2M
Identifying the superior ossification pathway for tissue engineered approaches to long bone repairR01AR079211 · NIAMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI LEACH, J. KENT · 2021 to 2025
$1.9M
NIAMS NIH HHS R01 AR077761NIAMS NIH HHS R01 AR079211NIH HHS R01-AR077761NIH HHS R01-AR079211
6 · The paper itself

Abstract

There is an unmet need for improved, clinically relevant methods to longitudinally quantify bone healing during fracture care. Here we develop a smart bone plate to wirelessly monitor healing utilizing electrical impedance spectroscopy (EIS) to provide real-time data on tissue composition within the fracture callus. To validate our technology, we created a 1-mm rabbit tibial defect and fixed the bone with a standard veterinary plate modified with a custom-designed housing that included two impedance sensors capable of wireless transmission. Impedance magnitude and phase measurements were transmitted every 48 h for up to 10 weeks. Bone healing was assessed by X-ray, µCT, and histology. Our results indicated the sensors successfully incorporated into the fracture callus and did not impede repair. Electrical impedance, resistance, and reactance increased steadily from weeks 3 to 7-corresponding to the transition from hematoma to cartilage to bone within the fracture gap-then plateaued as the bone began to consolidate. These three electrical readings significantly correlated with traditional measurements of bone healing and successfully distinguished between union and not-healed fractures, with the strongest relationship found with impedance magnitude. These results suggest that our EIS smart bone plate can provide continuous and highly sensitive quantitative tissue measurements throughout the course of fracture healing to better guide personalized clinical care.

Indexed as

Fracture HealingFractures, BoneAnimalsBone PlatesBony CallusDielectric SpectroscopyRabbitsBluetooth transmissionbone fracture repairelectrical impedance spectroscopylongitudinal monitoringsmart bone platewireless measurements

Identifiers

PMID36016004
PMCPMC9412277

What OpenQuestion holds

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LicenceCC BY
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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.