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Nikolaeva A, Pospelova M, Krasnikova V, Makhanova A, Tonyan S, Krasnopeev Y, Kayumova E, Vasilieva E, Efimtsev A, Levchuk A, Trufanov G, Voynov M, Shevtsov M. Elevated Levels of Serum Biomarkers Associated with Damage to the CNS Neurons and Endothelial Cells Are Linked with Changes in Brain Connectivity in Breast Cancer Patients with Vestibulo-Atactic Syndrome. Pathophysiology 2023; 30:260-274. [PMID: 37368372 DOI: 10.3390/pathophysiology30020022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Revised: 06/12/2023] [Accepted: 06/13/2023] [Indexed: 06/28/2023] Open
Abstract
Vestibulo-atactic syndrome (VAS), which represents a combination of motor and vestibular disorders, can be manifested as a clinical complication of breast cancer treatment and has a significant impact on patients' quality of life. The identification of novel potential biomarkers that might help to predict the onset of VAS and its progression could improve the management of this group of patients. In the current study, the levels of intercellular cell adhesion molecule 1 (ICAM-1), platelet/endothelial cell adhesion molecule 1 (PECAM-1), NSE (neuron-specific enolase), and the antibodies recognizing NR-2 subunit of NMDA receptor (NR-2-ab) were measured in the blood serum of BC survivor patients with vestibulo-atactic syndrome (VAS) and associated with the brain connectome data obtained via functional magnetic resonance imaging (fMRI) studies. A total of 21 patients were registered in this open, single-center trial and compared to age-matched healthy female volunteers (control group) (n = 17). BC patients with VAS demonstrated higher serum levels of ICAM-1, PECAM-1, and NSE and a lower value of NR-2-ab, with values of 654.7 ± 184.8, 115.3 ± 37.03, 49.9 ± 103.9, and 0.5 ± 0.3 pg/mL, respectively, as compared to the healthy volunteers, with 230.2 ± 44.8, 62.8 ± 15.6, 15.5 ± 6.4, and 1.4 ± 0.7 pg/mL. According to the fMRI data (employing seed-to-voxel and ROI-to-ROI methods), in BC patients with VAS, significant changes were detected in the functional connectivity in the areas involved in the regulation of postural-tonic reflexes, the coordination of movements, and the regulation of balance. In conclusion, the detected elevated levels of serum biomarkers may reveal damage to the CNS neurons and endothelial cells that is, in turn, associated with the change in the brain connectivity in this group of patients.
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Affiliation(s)
- Alexandra Nikolaeva
- Personalized Medicine Centre, Almazov National Medical Research Centre, Akkuratova Str. 2, 197341 Saint Petersburg, Russia
| | - Maria Pospelova
- Personalized Medicine Centre, Almazov National Medical Research Centre, Akkuratova Str. 2, 197341 Saint Petersburg, Russia
| | - Varvara Krasnikova
- Personalized Medicine Centre, Almazov National Medical Research Centre, Akkuratova Str. 2, 197341 Saint Petersburg, Russia
| | - Albina Makhanova
- Personalized Medicine Centre, Almazov National Medical Research Centre, Akkuratova Str. 2, 197341 Saint Petersburg, Russia
| | - Samvel Tonyan
- Personalized Medicine Centre, Almazov National Medical Research Centre, Akkuratova Str. 2, 197341 Saint Petersburg, Russia
| | - Yurii Krasnopeev
- Personalized Medicine Centre, Almazov National Medical Research Centre, Akkuratova Str. 2, 197341 Saint Petersburg, Russia
| | - Evgeniya Kayumova
- Personalized Medicine Centre, Almazov National Medical Research Centre, Akkuratova Str. 2, 197341 Saint Petersburg, Russia
| | - Elena Vasilieva
- Personalized Medicine Centre, Almazov National Medical Research Centre, Akkuratova Str. 2, 197341 Saint Petersburg, Russia
| | - Aleksandr Efimtsev
- Personalized Medicine Centre, Almazov National Medical Research Centre, Akkuratova Str. 2, 197341 Saint Petersburg, Russia
| | - Anatoliy Levchuk
- Personalized Medicine Centre, Almazov National Medical Research Centre, Akkuratova Str. 2, 197341 Saint Petersburg, Russia
| | - Gennadiy Trufanov
- Personalized Medicine Centre, Almazov National Medical Research Centre, Akkuratova Str. 2, 197341 Saint Petersburg, Russia
| | - Mark Voynov
- Personalized Medicine Centre, Almazov National Medical Research Centre, Akkuratova Str. 2, 197341 Saint Petersburg, Russia
| | - Maxim Shevtsov
- Personalized Medicine Centre, Almazov National Medical Research Centre, Akkuratova Str. 2, 197341 Saint Petersburg, Russia
- Department of Radiation Oncology, Technishe Universität München (TUM), Klinikum rechts der Isar, Ismaninger Str. 22, 81675 Munich, Germany
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Vladimirov N, Brui E, Levchuk A, Al-Haidri W, Fokin V, Efimtcev A, Bendahan D. CNN-based fully automatic wrist cartilage volume quantification in MR images: A comparative analysis between different CNN architectures. Magn Reson Med 2023; 90:737-751. [PMID: 37094028 DOI: 10.1002/mrm.29671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 03/17/2023] [Accepted: 03/26/2023] [Indexed: 04/26/2023]
Abstract
PURPOSE Automatic measurement of wrist cartilage volume in MR images. METHODS We assessed the performance of four manually optimized variants of the U-Net architecture, nnU-Net and Mask R-CNN frameworks for the segmentation of wrist cartilage. The results were compared to those from a patch-based convolutional neural network (CNN) we previously designed. The segmentation quality was assessed on the basis of a comparative analysis with manual segmentation. The best networks were compared using a cross-validation approach on a dataset of 33 3D VIBE images of mostly healthy volunteers. Influence of some image parameters on the segmentation reproducibility was assessed. RESULTS The U-Net-based networks outperformed the patch-based CNN in terms of segmentation homogeneity and quality, while Mask R-CNN did not show an acceptable performance. The median 3D DSC value computed with the U-Net_AL (0.817) was significantly larger than DSC values computed with the other networks. In addition, the U-Net_AL provided the lowest mean volume error (17%) and the highest Pearson correlation coefficient (0.765) with respect to the ground truth values. Of interest, the reproducibility computed using U-Net_AL was larger than the reproducibility of the manual segmentation. Moreover, the results indicate that the MRI-based wrist cartilage volume is strongly affected by the image resolution. CONCLUSIONS U-Net CNN with attention layers provided the best wrist cartilage segmentation performance. In order to be used in clinical conditions, the trained network can be fine-tuned on a dataset representing a group of specific patients. The error of cartilage volume measurement should be assessed independently using a non-MRI method.
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Affiliation(s)
- Nikita Vladimirov
- School of Physics and Engineering, ITMO University, Saint-Petersburg, Russia
| | - Ekaterina Brui
- School of Physics and Engineering, ITMO University, Saint-Petersburg, Russia
| | - Anatoliy Levchuk
- School of Physics and Engineering, ITMO University, Saint-Petersburg, Russia
- Department of Radiology, Federal Almazov North-West Medical Research Center, Saint-Petersburg, Russia
| | - Walid Al-Haidri
- School of Physics and Engineering, ITMO University, Saint-Petersburg, Russia
| | - Vladimir Fokin
- School of Physics and Engineering, ITMO University, Saint-Petersburg, Russia
- Department of Radiology, Federal Almazov North-West Medical Research Center, Saint-Petersburg, Russia
| | - Aleksandr Efimtcev
- School of Physics and Engineering, ITMO University, Saint-Petersburg, Russia
- Department of Radiology, Federal Almazov North-West Medical Research Center, Saint-Petersburg, Russia
| | - David Bendahan
- Centre de Résonance Magnétique Biologique et Médicale, Aix-Marseille Universite, CNRS, Marseille, France
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Koloskov V, Zubkov M, Solomakha G, Puchnin V, Levchuk A, Efimtcev A, Melchakova I, Shchelokova A. Improving detection of fMRI activation at 1.5 T using high permittivity ceramics. J Magn Reson 2023; 348:107390. [PMID: 36774714 DOI: 10.1016/j.jmr.2023.107390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 01/27/2023] [Accepted: 01/29/2023] [Indexed: 06/18/2023]
Abstract
In this work, we propose an application of high permittivity materials (HPMs) to improve functional magnetic resonance imaging (fMRI) at 1.5 T, increasing the receive (Rx) sensitivity of a commercial multi-channel head coil. To evaluate the transmit efficiency, specific absorption rate (SAR), and the signal-to-noise ratio (SNR) changes introduced by the HPMs with relative permittivity of 4500, we considered the following configurations in simulation: a whole-body birdcage coil and an Rx-only multi-channel head coil with and without the HPM blocks in the presence of a homogeneous head phantom or a human body model. Experimental studies were also performed with a phantom and with volunteers. Seven healthy volunteers enrolled in a prospective study of fMRI activation in the motor cortex with and without HPMs. fMRI data were analyzed using group-level paired T-tests between acquisitions with and without HPM blocks. Both electromagnetic simulations and experimental measurements showed ∼25% improvement in the Rx sensitivity of a commercial head coil in the areas of interest when HPM blocks were placed in close proximity. It increased the detected motor cortex fMRI activation volume by an average of 56%, thus resulting in more sensitive functional imaging at 1.5 T.
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Affiliation(s)
- Vladislav Koloskov
- School of Physics and Engineering, ITMO University, St. Petersburg, Russian Federation
| | - Mikhail Zubkov
- School of Physics and Engineering, ITMO University, St. Petersburg, Russian Federation
| | - Georgiy Solomakha
- School of Physics and Engineering, ITMO University, St. Petersburg, Russian Federation
| | - Viktor Puchnin
- School of Physics and Engineering, ITMO University, St. Petersburg, Russian Federation
| | - Anatoliy Levchuk
- School of Physics and Engineering, ITMO University, St. Petersburg, Russian Federation; Department of Radiology, Federal Almazov North-West Medical Research Center, St. Petersburg, Russian Federation
| | - Alexander Efimtcev
- School of Physics and Engineering, ITMO University, St. Petersburg, Russian Federation; Department of Radiology, Federal Almazov North-West Medical Research Center, St. Petersburg, Russian Federation
| | - Irina Melchakova
- School of Physics and Engineering, ITMO University, St. Petersburg, Russian Federation
| | - Alena Shchelokova
- School of Physics and Engineering, ITMO University, St. Petersburg, Russian Federation.
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Bukkieva T, Pospelova M, Efimtsev A, Fionik O, Alekseeva T, Samochernykh K, Gorbunova E, Krasnikova V, Makhanova A, Nikolaeva A, Tonyan S, Lepekhina A, Levchuk A, Trufanov G, Akshulakov S, Shevtsov M. Microstructural Properties of Brain White Matter Tracts in Breast Cancer Survivors: A Diffusion Tensor Imaging Study. Pathophysiology 2022; 29:595-609. [PMID: 36278563 PMCID: PMC9624319 DOI: 10.3390/pathophysiology29040046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 10/12/2022] [Accepted: 10/13/2022] [Indexed: 11/29/2022] Open
Abstract
Complex breast cancer (BC) treatment can cause various neurological and psychiatric complications, such as postmastectomy pain syndrome, vestibulocerebellar ataxia, and depression, which can lead to microstructural damage of the white matter tracts of the brain. The purpose of the study is to assess microstructural changes in the white matter tracts of the brain in BC survivors using diffusion tensor imaging (DTI). Single DTI scans were performed on patients (n = 84) after complex BC treatment (i.e., surgery, chemotherapy and/or radiation therapy) and on the control group (n = 40). According to the results, a decrease in the quantitative anisotropy (FDR ≤ 0.05) was revealed in the bilateral corticospinal tracts, cerebellar tracts, corpus callosum, fornix, left superior corticostriatal and left corticopontine parietal in patients after BC treatment in comparison to the control group. A decrease in the quantitative anisotropy (FDR ≤ 0.05) was also revealed in the corpus callosum and right cerebellar tracts in patients after BC treatment with the presence of postmastectomy pain syndrome and vestibulocerebellar ataxia. The use of DTI in patients after BC treatment reveals microstructural properties of the white matter tracts in the brain. The results will allow for the improvement of treatment and rehabilitation approaches in patients receiving treatment for breast cancer.
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Affiliation(s)
- Tatyana Bukkieva
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 St. Petersburg, Russia
- Correspondence: (T.B.); (M.S.); Tel.: +7-999-211-2530 (T.B.); +49-173-148-8882 (M.S.)
| | - Maria Pospelova
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 St. Petersburg, Russia
| | - Aleksandr Efimtsev
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 St. Petersburg, Russia
| | - Olga Fionik
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 St. Petersburg, Russia
| | - Tatyana Alekseeva
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 St. Petersburg, Russia
| | - Konstantin Samochernykh
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 St. Petersburg, Russia
| | - Elena Gorbunova
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 St. Petersburg, Russia
| | - Varvara Krasnikova
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 St. Petersburg, Russia
| | - Albina Makhanova
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 St. Petersburg, Russia
| | - Aleksandra Nikolaeva
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 St. Petersburg, Russia
| | - Samvel Tonyan
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 St. Petersburg, Russia
| | - Anna Lepekhina
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 St. Petersburg, Russia
| | - Anatoliy Levchuk
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 St. Petersburg, Russia
| | - Gennadiy Trufanov
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 St. Petersburg, Russia
| | - Serik Akshulakov
- National Center for Neurosurgery, Turan Ave., 34/1, Nur-Sultan 010000, Kazakhstan
| | - Maxim Shevtsov
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 St. Petersburg, Russia
- Department of Radiation Oncology, Technishe Universität München (TUM), Klinikum rechts der Isar, Ismaningerstr. 22, 81675 Munich, Germany
- Laboratory of Biomedical Nanotechnologies, Institute of Cytology of the Russian Academy of Sciences (RAS), Tikhoretsky Ave., 4, 194064 St. Petersburg, Russia
- Correspondence: (T.B.); (M.S.); Tel.: +7-999-211-2530 (T.B.); +49-173-148-8882 (M.S.)
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Bukkieva T, Pospelova M, Efimtsev A, Fionik O, Alekseeva T, Samochernych K, Gorbunova E, Krasnikova V, Makhanova A, Levchuk A, Trufanov G, Combs S, Shevtsov M. Functional Network Connectivity Reveals the Brain Functional Alterations in Breast Cancer Survivors. J Clin Med 2022; 11:jcm11030617. [PMID: 35160070 PMCID: PMC8837129 DOI: 10.3390/jcm11030617] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 12/29/2021] [Accepted: 01/10/2022] [Indexed: 02/04/2023] Open
Abstract
Different neurological and psychiatric disorders such as vertebrobasilar insufficiency, chronic pain syndrome, anxiety, and depression are observed in more than 90% of patients after treatment for breast cancer and may cause alterations in the functional connectivity of the default mode network. The purpose of the present study is to assess changes in the functional connectivity of the default mode network in patients after breast cancer treatment using resting state functional magnetic resonance imaging (rs-fMRI). Rs-fMRI was performed using a 3.0T MR-scanner on patients (N = 46, women) with neurological disorders (chronic pain, dizziness, headaches, and/or tinnitus) in the late postoperative period (>12 months) after Patey radical mastectomy for breast cancer. According to the intergroup statistical analysis, there were differences in the functional connectivity of the default mode network in all 46 patients after breast cancer treatment compared to the control group (p < 0.01). The use of rs-fMRI in in breast cancer survivors allowed us to identify changes in the functional connectivity in the brain caused by neurological disorders, which correlated with a decreased quality of life in these patients. The results indicate the necessity to improve treatment and rehabilitation methods in this group of patients.
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Affiliation(s)
- Tatyana Bukkieva
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
| | - Maria Pospelova
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
| | - Aleksandr Efimtsev
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
| | - Olga Fionik
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
| | - Tatyana Alekseeva
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
| | - Konstantin Samochernych
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
| | - Elena Gorbunova
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
| | - Varvara Krasnikova
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
| | - Albina Makhanova
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
| | - Anatoliy Levchuk
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
| | - Gennadiy Trufanov
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
| | - Stephanie Combs
- Department of Radiation Oncology, Technishe Universität München (TUM), Klinikum rechts der Isar, Ismaningerstr. 22, 81675 Munich, Germany;
| | - Maxim Shevtsov
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
- Department of Radiation Oncology, Technishe Universität München (TUM), Klinikum rechts der Isar, Ismaningerstr. 22, 81675 Munich, Germany;
- Laboratory of Biomedical Nanotechnologies, Institute of Cytology of the Russian Academy of Sciences (RAS), Tikhoretsky Ave. 4, 194064 Saint Petersburg, Russia
- Correspondence: ; Tel.: +7-981-829-4848
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Carriero A, Doube M, Vogt M, Busse B, Zustin J, Levchuk A, Schneider P, Müller R, Shefelbine SJ. Altered lacunar and vascular porosity in osteogenesis imperfecta mouse bone as revealed by synchrotron tomography contributes to bone fragility. Bone 2014; 61:116-24. [PMID: 24373921 DOI: 10.1016/j.bone.2013.12.020] [Citation(s) in RCA: 59] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2013] [Revised: 11/25/2013] [Accepted: 12/17/2013] [Indexed: 12/11/2022]
Abstract
Osteogenesis imperfecta (brittle bone disease) is caused by mutations in the collagen genes and results in skeletal fragility. Changes in bone porosity at the tissue level indicate changes in bone metabolism and alter bone mechanical integrity. We investigated the cortical bone tissue porosity of a mouse model of the disease, oim, in comparison to a wild type (WT-C57BL/6), and examined the influence of canal architecture on bone mechanical performance. High-resolution 3D representations of the posterior tibial and the lateral humeral mid-diaphysis of the bones were acquired for both mouse groups using synchrotron radiation-based computed tomography at a nominal resolution of 700nm. Volumetric morphometric indices were determined for cortical bone, canal network and osteocyte lacunae. The influence of canal porosity architecture on bone mechanics was investigated using microarchitectural finite element (μFE) models of the cortical bone. Bright-field microscopy of stained sections was used to determine if canals were vascular. Although total cortical porosity was comparable between oim and WT bone, oim bone had more numerous and more branched canals (p<0.001), and more osteocyte lacunae per unit volume compared to WT (p<0.001). Lacunae in oim were more spherical in shape compared to the ellipsoidal WT lacunae (p<0.001). Histology revealed blood vessels in all WT and oim canals. μFE models of cortical bone revealed that small and branched canals, typical of oim bone, increase the risk of bone failure. These results portray a state of compromised bone quality in oim bone at the tissue level, which contributes to its deficient mechanical properties.
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Affiliation(s)
- A Carriero
- Department of Bioengineering, Imperial College London, UK; Institute for Biomechanics, ETH Zürich, Switzerland.
| | - M Doube
- Department of Bioengineering, Imperial College London, UK
| | - M Vogt
- Department of Bioengineering, Imperial College London, UK
| | - B Busse
- Department of Osteology and Biomechanics, University Medical Center Hamburg-Eppendorf, Germany
| | - J Zustin
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Germany
| | - A Levchuk
- Institute for Biomechanics, ETH Zürich, Switzerland
| | - P Schneider
- Institute for Biomechanics, ETH Zürich, Switzerland
| | - R Müller
- Institute for Biomechanics, ETH Zürich, Switzerland
| | - S J Shefelbine
- Department of Bioengineering, Imperial College London, UK
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Levchuk A, Badilatti SD, Webster DJ, Rietbergen VB, Hazrati Marangalou J, Ito K, Müller R. In Silico Medicine Approach to Predict Changes in Human Vertebrae Due to Osteoporosis and Treatment. BIOMED ENG-BIOMED TE 2013; 58 Suppl 1:/j/bmte.2013.58.issue-s1-N/bmt-2013-4343/bmt-2013-4343.xml. [DOI: 10.1515/bmt-2013-4343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Dhillon A, Schneider P, Kuhn G, Reinwald Y, White LJ, Levchuk A, Rose FRAJ, Müller R, Shakesheff KM, Rahman CV. Analysis of sintered polymer scaffolds using concomitant synchrotron computed tomography and in situ mechanical testing. J Mater Sci Mater Med 2011; 22:2599-2605. [PMID: 21909640 DOI: 10.1007/s10856-011-4443-z] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2011] [Accepted: 08/29/2011] [Indexed: 05/31/2023]
Abstract
The mechanical behaviour of polymer scaffolds plays a vital role in their successful use in bone tissue engineering. The present study utilised novel sintered polymer scaffolds prepared using temperature-sensitive poly(DL-lactic acid-co-glycolic acid)/poly(ethylene glycol) particles. The microstructure of these scaffolds was monitored under compressive strain by image-guided failure assessment (IGFA), which combined synchrotron radiation computed tomography (SR CT) and in situ micro-compression. Three-dimensional CT data sets of scaffolds subjected to a strain rate of 0.01%/s illustrated particle movement within the scaffolds with no deformation or cracking. When compressed using a higher strain rate of 0.02%/s particle movement was more pronounced and cracks between sintered particles were observed. The results from this study demonstrate that IGFA based on simultaneous SR CT imaging and micro-compression testing is a useful tool for assessing structural and mechanical scaffold properties, leading to further insight into structure-function relationships in scaffolds for bone tissue engineering applications.
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Affiliation(s)
- A Dhillon
- Division of Drug Delivery and Tissue Engineering, Centre for Biomolecular Sciences, University of Nottingham, University Park, Nottingham, UK
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