Bioimpedance and bone fracture detection: A state of the art

Dell'Osa, A; Felice, C.J.; Símini, Franco

doi:10.1088/1742-6596/1272/1/012010

Cited by 4 publications

(3 citation statements)

References 46 publications

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“…Several studies in this field using diverse experiments such as histology, radiography, and micro CT revealed a direct association between bone healing and impedance [ 21 , 26 , 32 ]. Lin et al assessed bone fracture healing using RUST and impedance methods [ 19 ].…”

Section: Discussionmentioning

confidence: 99%

Bone Healing Monitoring in Bone Lengthening Using Bioimpedance

Sadoughi

Behmanesh

Mazhar

et al. 2022

Journal of Healthcare Engineering

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The most common technique of orthopedic surgical procedure for the correction of deformities is bone lengthening by “distraction osteogenesis,” which requires periodic and ongoing bone assessment following surgery. Bone impedance is a noninvasive, quantitative method of assessing bone fracture healing. The purpose of this study was to monitor bone healing and determine when fixation devices should be removed. The left tibia of eight male New Zealand white rabbits (2.4 ± 0.4 kg) undergoing osteotomy was attached with a mini-external fixator. The bone length was increased by 1 cm one week after surgery by distracting it 1 mm per day. Before and after osteotomy, as well as every week after, bone impedance was measured in seven frequency ranges using an EVAL-AD5933EBZ board. Three orthopedic surgeons analyzed the radiographs using the Radiographic Union Scale for Tibial (RUST) score. The Kappa Fleiss coefficient was used to determine surgeon agreement, and the Spearman rank correlation coefficient was used to find out the relationship between impedance measurements and RUST scores. Finally, the device removal time was calculated by comparing the bone impedance to the preosteotomy impedance. The agreement of three orthopedic surgeons on radiographs had a Fleiss’ Kappa coefficient of 49%, indicating a moderate level of agreement. The Spearman rank correlation coefficient was 0.43, indicating that impedance and radiographic techniques have a direct relationship. Impedance is expected to be used to monitor fractured or lengthened bones in a noninvasive, low-cost, portable, and straightforward manner. Furthermore, when used in conjunction with other qualitative methods such as radiography, impedance can be useful in determining the precise time of device removal.

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Section: Discussionmentioning

confidence: 99%

Bone Healing Monitoring in Bone Lengthening Using Bioimpedance

Sadoughi

Behmanesh

Mazhar

et al. 2022

Journal of Healthcare Engineering

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“…In fractures, the proximal bone tissue experiences increased blood flow with local edema due to the inflammatory reaction and the bone's healing process. These events indicate the presence of material diffusion with low electrical resistance in the fractured part [18], [19].…”

Section: Introductionmentioning

confidence: 97%

Bone fracture detection using electrical impedance tomography based on STEMlab Red Pitaya

Ain,

Rahma,

Putra

et al. 2023

IJEECS

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<span>Bone fractures can result in accidents, osteoporosis, bone cancer, or other conditions. X-Ray is a medical imaging technique often used to detect bone fractures. However, X-Rays can have radiation effects that harm patients, health workers, and the environment. Electrical impedance tomography (EIT) is a system that can obtain object images based on the electrical impedance distribution. In bone fractures, the proximal bone tissue experiences increased blood flow with local edema due to the inflammatory reaction which indicates the presence of a high conductivity diffusion material at the fracture location. EIT based on the STEMlab Red Pitaya module can be utilized to detect bone fractures. Red Pitaya serves as a controller, possessing a voltage generator, an oscilloscope, and 16 input/output pins that fulfill most of the EIT functions. To test the EIT-based system’s efficacy, a 3D-printed polylactic acid (PLA)-based bone phantom model was used. This model was placed on a cylindrical phantom filled with water as a substitute for soft tissue. The voltage data then are reconstructed using electrical impedance and diffuse optical reconstruction software (EIDORS), a MATLAB toolbox devoted to image reconstruction from impedance measurement results. The results of the reconstruction demonstrated that EIT based on the Red Pitaya STEMlab module could distinguish between normal bone and fractured bone.</span>

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“…In this regard, electrochemical impedance spectroscopy (EIS) provides a means to non-destructively assess the bone healing process by characterizing the electrical properties of the tissue. Several studies have demonstrated the feasibility of utilizing EIS for determining bone health, where tissue impedance changes at specific frequencies of the applied alternating current (AC) potential were well correlated to the radiographically determined status of bone regeneration ( Kozhevnikov et al, 2016 ; Afsarimanesh et al, 2016 ; Dell’Osa et al, 2019a ; Dell’Osa et al, 2019b ). Particularly, Lin et al utilized electrode implants to longitudinally monitor bone healing in murine fracture models, where the magnitude of impedance measurements was proportional to the quantified measures of bone volume and bone mineral density ( Lin et al, 2015 ).…”

Section: Introductionmentioning

confidence: 99%

Non-destructive characterization of bone mineral content by machine learning-assisted electrochemical impedance spectroscopy

Banerjee

Tai

Myung

et al. 2022

Front. Bioeng. Biotechnol.

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Continuous quantitative monitoring of the change in mineral content during the bone healing process is crucial for efficient clinical treatment. Current radiography-based modalities, however, pose various technological, medical, and economical challenges such as low sensitivity, radiation exposure risk, and high cost/instrument accessibility. In this regard, an analytical approach utilizing electrochemical impedance spectroscopy (EIS) assisted by machine learning algorithms is developed to quantitatively characterize the physico-electrochemical properties of the bone, in response to the changes in the bone mineral contents. The system is designed and validated following the process of impedance data measurement, equivalent circuit model designing, machine learning algorithm optimization, and data training and testing. Overall, the systematic machine learning-based classification utilizing the combination of EIS measurements and electrical circuit modeling offers a means to accurately monitor the status of the bone healing process.

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Bioimpedance and bone fracture detection: A state of the art

Cited by 4 publications

References 46 publications

Bone Healing Monitoring in Bone Lengthening Using Bioimpedance

Bone Healing Monitoring in Bone Lengthening Using Bioimpedance

Bone fracture detection using electrical impedance tomography based on STEMlab Red Pitaya

Non-destructive characterization of bone mineral content by machine learning-assisted electrochemical impedance spectroscopy

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