Novel radiomics evaluation of bone formation utilizing multimodal (SPECT/X-ray CT) in vivo imaging

Budán, Ferenc; Szigeti, Krisztián; Weszl, Miklós; Horváth, Ildikó; Balogh, Erika; Kanaan, R.; Berényi, Károly; Lacza, Zsombor; Máthé, Domokos; Gyöngyi, Zoltán

doi:10.1371/journal.pone.0204423

Cited by 10 publications

(5 citation statements)

References 28 publications

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“…Their mathematical analysis could improve research based on image analysis. Budán et al (2018) [43] performed an experiment with rats to develop a new method for evaluation of bone regeneration. With this purpose, CT and single photon emission computed tomography (SPECT) with marked methyl diphosphonate (MDP) as tracer were combined.…”

Section: Discussionmentioning

confidence: 99%

RETRACTED: Intraosteal Behavior of Porous Scaffolds: The mCT Raw-Data Analysis as a Tool for Better Understanding

et al. 2019

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The aim of the study is to determine the existing correlation between high-resolution 3D imaging technique obtained through Micro Computed Tomography (mCT) and histological-histomorphometric images to determine in vivo bone osteogenic behavior of bioceramic scaffolds. A Ca-Si-P scaffold ceramic doped and non-doped (control) with a natural demineralized bone matrix (DBM) were implanted in rabbit tibias for 1, 3, and 5 months. A progressive disorganization and disintegration of scaffolds and bone neoformation occurs, from the periphery to the center of the implants, without any differences between histomorphometric and radiological analysis. However, significant differences (p < 0.05) between DMB-doped and non-doped materials where only detected through mathematical analysis of mCT. In this way, average attenuation coefficient for DMB-doped decreased from 0.99 ± 0.23 Hounsfield Unit (HU) (3 months) to 0.86 ± 0.32 HU (5 months). Average values for non-doped decreased from 0.86 ± 0.25 HU (3 months) to 0.66 ± 0.33 HU. Combination of radiological analysis and mathematical mCT seems to provide an adequate in vivo analysis of bone-implanted biomaterials after surgery, obtaining similar results to the one provided by histomorphometric analysis. Mathematical analysis of Computed Tomography (CT) would allow the conducting of long-term duration in vivo studies, without the need for animal sacrifice, and the subsequent reduction in variability.

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Section: Discussionmentioning

confidence: 99%

RETRACTED: Intraosteal Behavior of Porous Scaffolds: The mCT Raw-Data Analysis as a Tool for Better Understanding

et al. 2019

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“…In humans, three dimensional radiomics data has been used to model mineral deficiency in bone‐mineral density scans and to distinguish metastatic from non‐metastatic sclerotic bone lesions in PET/CT images 20,21 . Radiomics has also been used to monitor the progression of osteoblast activity and bone vascularisation of rats undergoing bone graft surgery with µCT/SPECT imaging 22 . Despite these advances, challenges remain: radiomic features extracted from two‐dimensional radiography images of human tibiae were found to be highly dependent on x‐ray imaging parameters, and streak artefacts from bone due to high density dental fillings in CT scans of human head and neck cancers have been found to influence the quality of radiomic features 23,24 .…”

Section: Introductionmentioning

confidence: 99%

A radiomics platform for computing imaging features from µCT images of Thoroughbred racehorse proximal sesamoid bones: Benchmark performance and evaluation

Basran

Gao

Palmer

et al. 2020

Equine Veterinary Journal

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Background Proximal sesamoid bone (PSB) fractures are the most common fatal musculoskeletal injury in North American racehorses. Computed tomography has the potential to detect morphological changes in bone structure but can be challenging to analyse reliably and quantitatively. Objectives To develop a radiomics platform that allows the comparison of features from micro‐CTs (µCT) of PSBs in horses that sustained catastrophic fractures with horses that did not. To compare features calculated with a radiomics approach with features calculated from a previously published study that used quantitative µCT in the same specimens. Study design Retrospective study of cadaver specimens of µCT images of PSBs using prospectively applied radiomics. Methods Radiomics features were computed on standardised CT datasets to benchmark the software. Features from µCT images of PSBs from eight horses that sustained PSB fracture and eight controls were computed using the contralateral, intact forelimb from horses sustaining PSB fracture (cases, n = 19) and all available forelimbs for controls (n = 30). Two‐hundred and fifteen radiomic features were calculated, and similar or comparable features were compared with those reported in a previous study that used the same specimens. Results Morphologic features computed with the radiomics approach, such as volume, minor axis dimensions and anisotropy were highly correlated with previously published data. A high number of imperceptible radiomic features, such as entropy, coarseness and histogram features were also found to be significantly different (P < .01). The extent of the differences in image features for the cases and controls PSBs depends on radiomic calculation settings. Main limitations Only datasets obtained from cadaver specimens were included in the study. Conclusions A radiomics approach for analysing µCT images of PSBs was able to identify and reproduce differences in image features in cases and controls. Furthermore, radiomics revealed many more imperceptible image features between cases and control PSBs.

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Section: Discussionmentioning

confidence: 99%

Dental Implant Macrogeometry and Biomaterials

2020

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Novel radiomics evaluation of bone formation utilizing multimodal (SPECT/X-ray CT) in vivo imaging

Cited by 10 publications

References 28 publications

RETRACTED: Intraosteal Behavior of Porous Scaffolds: The mCT Raw-Data Analysis as a Tool for Better Understanding

RETRACTED: Intraosteal Behavior of Porous Scaffolds: The mCT Raw-Data Analysis as a Tool for Better Understanding

A radiomics platform for computing imaging features from µCT images of Thoroughbred racehorse proximal sesamoid bones: Benchmark performance and evaluation

Dental Implant Macrogeometry and Biomaterials

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