Multi-modal imaging for assessment of tissue-engineered bone in a critical-sized calvarial defect mouse model

Wartella, Karin; Khalilzad-Sharghi, Vahid; Kelso, Matthew L.; Kovar, Joy L.; Kaplan, David L.; Xu, Huihui; Othman, Shadi F.

doi:10.1002/term.2068

Cited by 3 publications

(1 citation statement)

References 27 publications

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“…[ 6 ] Commonly adopted strategies involve labeling cells and scaffolds with multiple imaging agents, primarily used to monitor cell growth, differentiation, and scaffold degradation, thereby facilitating visualization of the regenerative process by tracking changes in these factors. [ 7 ] For instance, Mertens et al. prepared three different types of ultrasmall super‐paramagnetic iron oxide (USPIO) nanoparticles and incorporated them into a collagen‐based scaffold material.…”

Section: Introductionmentioning

confidence: 99%

Integrating Fluorescence and Magnetic Resonance Imaging in Biocompatible Scaffold for Real‐Time Bone Repair Monitoring and Assessment

Yang,

Wang,

Feng

et al. 2023

Adv Healthcare Materials

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In situ monitoring of bone tissue regeneration progression is critical for the development of bone tissue engineering scaffold. However, engineered scaffolds that can stimulate osteogenic progress and allow for non‐invasive monitoring of in vivo bone regeneration simultaneously are rarely reported. Based on a hard‐and‐soft integration strategy, a multifunctional scaffold composed of 3D printed microfilaments and a hydrogel network containing simvastatin (SV), indocyanine green‐loaded superamphiphiles, and aminated ultrasmall superparamagnetic iron oxide nanoparticles (USPIO‐NH2) is fabricated. Both in vitro and in vivo results demonstrate that the as‐prepared scaffold significantly promotes osteogenesis through controlled SV release. The biocomposite scaffold exhibits alkaline phosphatase‐responsive near‐infrared II fluorescence imaging. Meanwhile, USPIO‐NH2 within the co‐crosslinked nanocomposite network enables the visualization of scaffold degradation by magnetic resonance imaging. Therefore, the biocomposite scaffold enables or facilitates non‐invasive in situ monitoring of neo‐bone formation and scaffold degradation processes following osteogenic stimulation, offering a promising strategy to develop theranostic scaffolds for tissue engineering.

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Section: Introductionmentioning

confidence: 99%

Integrating Fluorescence and Magnetic Resonance Imaging in Biocompatible Scaffold for Real‐Time Bone Repair Monitoring and Assessment

Yang,

Wang,

Feng

et al. 2023

Adv Healthcare Materials

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Magnetic field and nano-scaffolds with stem cells to enhance bone regeneration

et al. 2018

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Data mining and image analysis using genetic programming

Varniab

Hung

Sharghi

2020

SIGAPP Appl. Comput. Rev.

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Genetic programming (GP) is an artificial intelligence technique that benefits from evolutionary computations allowing computers to solve problems automatically. In this paper, we present an optimized genetic-programming-based classifier that directly solves the multi-class classification problems in data mining and image analysis. A new fitness function is proposed for multiclass classification and brain tumor detection, which is validated by 10-fold cross validation. Instead of defining static thresholds as boundaries to differentiate between multiple labels, our work presents a method of classification where a GP system learns the relationships among experiential data and models them mathematically during the evolutionary process. We propose an optimized GP classifier based on a combination of pruning subtrees and a new fitness function. An orthogonal least squares algorithm is also applied in the training phase to create a robust GP classifier. Our approach has been assessed on six multiclass datasets and on a magnetic resonance imaging (MRI) brain image for tumor detection. The results of data classification for Iris, Wine, Glass, Pima, BUPA Liver and Balance Scale datasets are compared with existing algorithms. The high accuracy of brain tumor classification provided by our GP classifier confirms the strong ability of the developed technique for complicated classification problems. We compared our approach in terms of speed with previous GP algorithms as well. The analyzed results illustrate that the developed classifier produces a productive and rapid method for classification tasks that outperforms the previous methods for more challenging multiclass classification problems.

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Multi-modal imaging for assessment of tissue-engineered bone in a critical-sized calvarial defect mouse model

Cited by 3 publications

References 27 publications

Integrating Fluorescence and Magnetic Resonance Imaging in Biocompatible Scaffold for Real‐Time Bone Repair Monitoring and Assessment

Integrating Fluorescence and Magnetic Resonance Imaging in Biocompatible Scaffold for Real‐Time Bone Repair Monitoring and Assessment

Magnetic field and nano-scaffolds with stem cells to enhance bone regeneration

Data mining and image analysis using genetic programming

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