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Al-Thani A, Sharif A, El Borgi S, Abdulla S, Ahmed Saleh MR, Al-Khal R, Velasquez C, Aboumarzouk O, Dakua SP. Development of a flexible liver phantom for hepatocellular carcinoma treatment planning: a useful tool for training & education. 3D Print Med 2024; 10:24. [PMID: 39037479 PMCID: PMC11265145 DOI: 10.1186/s41205-024-00228-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Accepted: 07/11/2024] [Indexed: 07/23/2024] Open
Abstract
PURPOSE Hepatocellular carcinoma (HCC) is one of the most common types of liver cancer that could potentially be surrounded by healthy arteries or veins that a surgeon would have to avoid during treatment. A realistic 3D liver model is an unmet need for HCC preoperative planning. METHODS This paper presents a method to create a soft phantom model of the human liver with the help of a 3D-printed mold, silicone, ballistic gel, and a blender. RESULTS For silicone, the elastic modulus of seven different ratios of base silicone and silicone hardener are tested; while for ballistic gel, a model using 20% gelatin and 10% gelatin is created for the tumor and the rest of the liver, respectively. It is found that the silicone modulus of elasticity matches with the real liver modulus of elasticity. It is also found that the 10% gelatin part of the ballistic gel model is an excellent emulation of a healthy human liver. CONCLUSION The 3D flexible liver phantom made from a 10% gelatin-to-water mixture demonstrates decent fidelity to real liver tissue in terms of texture and elasticity. It holds significant potential for improving medical training, preoperative planning, and surgical research. We believe that continued development and validation of such models could further enhance their utility and impact in the field of hepatobiliary treatment planning and education.
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Affiliation(s)
- Abdulla Al-Thani
- Department of Mechanical Engineering, Texas A&M University at Qatar, Doha, 23874, Qatar
| | - Abdulrahman Sharif
- Department of Mechanical Engineering, Texas A&M University at Qatar, Doha, 23874, Qatar
| | - Sami El Borgi
- Department of Mechanical Engineering, Texas A&M University at Qatar, Doha, 23874, Qatar
| | - Shameel Abdulla
- Department of Mechanical Engineering, Texas A&M University at Qatar, Doha, 23874, Qatar
| | | | - Reem Al-Khal
- Department of Surgery, Hamad Medical Corporation, Doha, 3050, Qatar
| | - Carlos Velasquez
- Department of Surgery, Hamad Medical Corporation, Doha, 3050, Qatar
| | - Omar Aboumarzouk
- Department of Surgery, Hamad Medical Corporation, Doha, 3050, Qatar
- College of Health and Medical Sciences, Qatar University, Doha, 2713, Qatar
| | - Sarada Prasad Dakua
- Department of Surgery, Hamad Medical Corporation, Doha, 3050, Qatar.
- College of Health and Medical Sciences, Qatar University, Doha, 2713, Qatar.
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Wangler S, Hofmann J, Moser HL, Kuenzler M, Egli RJ, Schaer M. Image Correlation Between Digitally Reconstructed Radiographs, C-arm Fluoroscopic Radiographs, and X-ray: A Phantom Study. Cureus 2024; 16:e51868. [PMID: 38327943 PMCID: PMC10849007 DOI: 10.7759/cureus.51868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/08/2024] [Indexed: 02/09/2024] Open
Abstract
OBJECTIVE Digitally reconstructed radiographs (DRRs) are planar two-dimensional (2D) X-rays derived from a three-dimensional (3D) computed tomography (CT) dataset. DRRs allow the simulation of radiographs of all desired views and facilitate preoperative planning. However, orthopedic surgeons rely on C-arm fluoroscopic imaging during surgery to verify fracture reduction and implant placement. Pincushion distortion represents a technical limitation of fluoroscopic imaging, resulting in a greater distance between points at the periphery of the image compared to the center. This project, therefore, aimed to assess the image correlation between digitally reconstructed radiographs (DRRs) and fluoroscopic imaging (C-arm) using conventional radiographs (X-ray) as a control. METHODS A 3D-printed cubic prototype and an anatomical humerus bone model were used. C-arm fluoroscopic radiographs and conventional X-ray images were taken in an anteroposterior (AP) view at 10-degree steps while rotating the objects from 0 to 90 degrees. CT scans were made and used to compute and export DRRs in AP view at 10-degree rotational steps from 0 to 90 degrees. The surface area (cm2) was measured and compared between the different modalities. For automated image analysis of the anatomical humerus model, matching (%) between modalities was calculated using the structural similarity index (SSIM). RESULTS The overall regression was statistically significant in all models, with an R2 >0.99 when comparing all three imaging modalities of the prototype. Surface correlation in the anatomical humerus model was R2 0.99 between X-ray and C-arm and R2 0.95 between C-arm and X-ray to DRRs, respectively. The SSIM was highest for comparing DRR and C-arm images (0.84±0.01%). CONCLUSIONS The study indicates a strong agreement between digitally reconstructed radiographs and X-ray/C-arm images. DRRs, therefore, represent a valuable tool for research and clinical application.
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Affiliation(s)
- Sebastian Wangler
- Orthopaedic Surgery and Traumatology, Inselspital, Bern University Hospital, University of Bern, Bern, CHE
| | - Janic Hofmann
- Orthopaedic Surgery and Traumatology, Inselspital, Bern University Hospital, University of Bern, Bern, CHE
| | - Helen L Moser
- Orthopaedic Surgery and Traumatology, Inselspital, Bern University Hospital, University of Bern, Bern, CHE
| | - Michael Kuenzler
- Orthopaedic Surgery and Traumatology, Inselspital, Bern University Hospital, University of Bern, Bern, CHE
| | - Rainer J Egli
- Diagnostic, Interventional, and Paediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Bern, CHE
| | - Michael Schaer
- Orthopaedic Surgery and Traumatology, Inselspital, Bern University Hospital, University of Bern, Bern, CHE
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Kalidindi Y, Ganapathy AK, Nayak Y, Elumalai A, Chen DZ, Bishop G, Sanchez A, Albers B, Shetty AS, Ballard DH. Computed Tomography Attenuation of Three-Dimensional (3D) Printing Materials-Depository to Aid in Constructing 3D-Printed Phantoms. MICROMACHINES 2023; 14:1928. [PMID: 37893365 PMCID: PMC10609050 DOI: 10.3390/mi14101928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 10/06/2023] [Accepted: 10/11/2023] [Indexed: 10/29/2023]
Abstract
Three-dimensionally printed phantoms are increasingly used in medical imaging and research due to their cost-effectiveness and customizability, offering valuable alternatives to commercial phantoms. The purpose of this study was to assess the computed tomography (CT) attenuation characteristics of 27 resin materials from Formlabs, a 3D printing equipment and materials manufacturer. Cube phantoms (both solid and hollow constructions) produced with each resin were subjected to CT scanning under varying tube current-time products with attenuation measurements recorded in Hounsfield units (HU). The resins exhibited a wide range of attenuation values (-3.33 to 2666.27 HU), closely mimicking a range of human tissues, from fluids to dense bone structures. The resins also demonstrated consistent attenuation regardless of changes in the tube current. The CT attenuation analysis of FormLabs resins produced an archive of radiological imaging characteristics of photopolymers that can be utilized to construct more accurate tissue mimicking medical phantoms and improve the evaluation of imaging device performance.
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Affiliation(s)
- Yuktesh Kalidindi
- School of Medicine, Saint Louis University, St. Louis, MO 63104, USA;
| | - Aravinda Krishna Ganapathy
- School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; (A.K.G.); (Y.N.); (D.Z.C.)
| | - Yash Nayak
- School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; (A.K.G.); (Y.N.); (D.Z.C.)
| | - Anusha Elumalai
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA; (A.E.); (G.B.); (A.S.); (A.S.S.)
| | - David Z. Chen
- School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; (A.K.G.); (Y.N.); (D.Z.C.)
| | - Grace Bishop
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA; (A.E.); (G.B.); (A.S.); (A.S.S.)
| | - Adrian Sanchez
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA; (A.E.); (G.B.); (A.S.); (A.S.S.)
| | - Brian Albers
- St. Louis Children’s Hospital Medical 3D Printing Center, BJC Healthcare, St. Louis, MO 63110, USA;
| | - Anup S. Shetty
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA; (A.E.); (G.B.); (A.S.); (A.S.S.)
| | - David H. Ballard
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA; (A.E.); (G.B.); (A.S.); (A.S.S.)
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Dutta SD, Ganguly K, Patil TV, Randhawa A, Lim KT. Unraveling the potential of 3D bioprinted immunomodulatory materials for regulating macrophage polarization: State-of-the-art in bone and associated tissue regeneration. Bioact Mater 2023; 28:284-310. [PMID: 37303852 PMCID: PMC10248805 DOI: 10.1016/j.bioactmat.2023.05.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 04/29/2023] [Accepted: 05/20/2023] [Indexed: 06/13/2023] Open
Abstract
Macrophage-assisted immunomodulation is an alternative strategy in tissue engineering, wherein the interplay between pro-inflammatory and anti-inflammatory macrophage cells and body cells determines the fate of healing or inflammation. Although several reports have demonstrated that tissue regeneration depends on spatial and temporal regulation of the biophysical or biochemical microenvironment of the biomaterial, the underlying molecular mechanism behind immunomodulation is still under consideration for developing immunomodulatory scaffolds. Currently, most fabricated immunomodulatory platforms reported in the literature show regenerative capabilities of a particular tissue, for example, endogenous tissue (e.g., bone, muscle, heart, kidney, and lungs) or exogenous tissue (e.g., skin and eye). In this review, we briefly introduced the necessity of the 3D immunomodulatory scaffolds and nanomaterials, focusing on material properties and their interaction with macrophages for general readers. This review also provides a comprehensive summary of macrophage origin and taxonomy, their diverse functions, and various signal transduction pathways during biomaterial-macrophage interaction, which is particularly helpful for material scientists and clinicians for developing next-generation immunomodulatory scaffolds. From a clinical standpoint, we briefly discussed the role of 3D biomaterial scaffolds and/or nanomaterial composites for macrophage-assisted tissue engineering with a special focus on bone and associated tissues. Finally, a summary with expert opinion is presented to address the challenges and future necessity of 3D bioprinted immunomodulatory materials for tissue engineering.
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Affiliation(s)
- Sayan Deb Dutta
- Department of Biosystems Engineering, Kangwon National University, Chuncheon, 24341, Republic of Korea
- Institute of Forest Science, Kangwon National University, Chuncheon, 24341, Republic of Korea
| | - Keya Ganguly
- Department of Biosystems Engineering, Kangwon National University, Chuncheon, 24341, Republic of Korea
| | - Tejal V. Patil
- Department of Biosystems Engineering, Kangwon National University, Chuncheon, 24341, Republic of Korea
- Interdisciplinary Program in Smart Agriculture, Kangwon National University, Chuncheon, 24341, Republic of Korea
| | - Aayushi Randhawa
- Department of Biosystems Engineering, Kangwon National University, Chuncheon, 24341, Republic of Korea
- Interdisciplinary Program in Smart Agriculture, Kangwon National University, Chuncheon, 24341, Republic of Korea
| | - Ki-Taek Lim
- Department of Biosystems Engineering, Kangwon National University, Chuncheon, 24341, Republic of Korea
- Institute of Forest Science, Kangwon National University, Chuncheon, 24341, Republic of Korea
- Interdisciplinary Program in Smart Agriculture, Kangwon National University, Chuncheon, 24341, Republic of Korea
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Lacan F, Johnston R, Carrington R, Spezi E, Theobald P. Towards using a multi-material, pellet-fed additive manufacturing platform to fabricate novel imaging phantoms. J Med Eng Technol 2023; 47:189-196. [PMID: 37114619 DOI: 10.1080/03091902.2023.2193267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/29/2023]
Abstract
The design freedom afforded by additive manufacturing (AM) is now being leveraged across multiple applications, including many in the fields of imaging for personalised medicine. This study utilises a pellet-fed, multi-material AM machine as a route to fabricating new imaging phantoms, used for developing and refining algorithms for the detection of subtle soft tissue anomalies. Traditionally comprising homogeneous materials, higher-resolution scanning now allows for heterogeneous, multi-material phantoms. Polylactic acid (PLA), a thermoplastic urethane (TPU) and a thermoplastic elastomer (TPE) were investigated as potential materials. Manufacturing accuracy and precision were assessed relative to the digital design file, whilst the potential to achieve structural heterogeneity was evaluated by quantifying infill density via micro-computed tomography. Hounsfield units (HU) were also captured via a clinical scanner. The PLA builds were consistently too small, by 0.2 - 0.3%. Conversely, TPE parts were consistently larger than the digital file, though by only 0.1%. The TPU components had negligible differences relative to the specified sizes. The accuracy and precision of material infill were inferior, with PLA exhibiting greater and lower densities relative to the digital file, across the 3 builds. Both TPU and TPE produced infills that were too dense. The PLA material produced repeatable HU values, with poorer precision across TPU and TPE. All HU values tended towards, and some exceeded, the reference value for water (0 HU) with increasing infill density. These data have demonstrated that pellet-fed AM can produce accurate and precise structures, with the potential to include multiple materials providing an opportunity for more realistic and advanced phantom designs. In doing so, this will enable clinical scientists to develop more sensitive applications aimed at detecting ever more subtle variations in tissue, confident that their calibration models reflect their intended designs.
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Affiliation(s)
- Franck Lacan
- High Value Manufacturing Research Group, Cardiff School of Engineering, Cardiff University, Wales, United Kingdom
| | - Richard Johnston
- Advanced Imaging of Materials (AIM) Core Facility, Swansea University, Wales, United Kingdom
| | | | - Emiliano Spezi
- Medical Engineering Research Group, Cardiff School of Engineering, Cardiff University, Wales, United Kingdom
| | - Peter Theobald
- High Value Manufacturing Research Group, Cardiff School of Engineering, Cardiff University, Wales, United Kingdom
- Medical Engineering Research Group, Cardiff School of Engineering, Cardiff University, Wales, United Kingdom
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Kiss J, Balkay L, Kukuts K, Miko M, Forgacs A, Trencsenyi G, Krizsan AK. 3D printed anthropomorphic left ventricular myocardial phantom for nuclear medicine imaging applications. EJNMMI Phys 2022; 9:34. [PMID: 35503184 PMCID: PMC9065219 DOI: 10.1186/s40658-022-00461-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 04/20/2022] [Indexed: 11/26/2022] Open
Abstract
Background Anthropomorphic torso phantoms, including a cardiac insert, are frequently used to investigate the imaging performance of SPECT and PET systems. These phantom solutions are generally featuring a simple anatomical representation of the heart. 3D printing technology paves the way to create cardiac phantoms with more complex volume definition. This study aimed to describe how a fillable left ventricular myocardium (LVm) phantom can be manufactured using geometry extracted from a patient image. Methods The LVm of a healthy subject was segmented from 18F-FDG attenuation corrected PET image set. Two types of phantoms were created and 3D printed using polyethylene terephthalate glycol (PETG) material: one representing the original healthy LVm, and the other mimicking myocardium with a perfusion defect. The accuracy of the LVm phantom production was investigated by high-resolution CT scanning of 3 identical replicas. 99mTc SPECT acquisitions using local cardiac protocol were performed, without additional scattering media (“in air” measurements) for both phantom types. Furthermore, the healthy LVm phantom was inserted in the commercially available DataSpectrum Anthropomorphic Torso Phantom (“in torso” measurement) and measured with hot background and hot liver insert. Results Phantoms were easy to fill without any air-bubbles or leakage, were found to be reproducible and fully compatible with the torso phantom. Seventeen segments polar map analysis of the "in air” measurements revealed that a significant deficit in the distribution appeared where it was expected. 59% of polar map segments had less than 5% deviation for the "in torso” and "in air” measurement comparison. Excluding the deficit area, neither comparison had more than a 12.4% deviation. All the three polar maps showed similar apex and apical region values for all configurations. Conclusions Fillable anthropomorphic 3D printed phantom of LVm can be produced with high precision and reproducibility. The 3D printed LVm phantoms were found to be suitable for SPECT image quality tests during different imaging scenarios. The flexibility of the 3D printing process presented in this study provides scalable and anthropomorphic image quality phantoms in nuclear cardiology imaging.
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Affiliation(s)
- Janos Kiss
- Division of Radiology and Imaging Science, Department of Medical Imaging, Faculty of Medicine, University of Debrecen, Nagyerdei krt. 98., Debrecen, 4032, Hungary.
| | - Laszlo Balkay
- Division of Nuclear Medicine and Translational Imaging, Department of Medical Imaging, Faculty of Medicine, University of Debrecen, Nagyerdei krt. 98., Debrecen, 4032, Hungary
| | - Kornel Kukuts
- ScanoMed Nuclear Medicine Centers, Nagyerdei krt. 98., Debrecen, 4032, Hungary
| | - Marton Miko
- Division of Nuclear Medicine and Translational Imaging, Department of Medical Imaging, Faculty of Medicine, University of Debrecen, Nagyerdei krt. 98., Debrecen, 4032, Hungary
| | - Attila Forgacs
- ScanoMed Nuclear Medicine Centers, Nagyerdei krt. 98., Debrecen, 4032, Hungary.,Mediso Ltd., Laborc Utca 3., Budapest, 1037, Hungary
| | - Gyorgy Trencsenyi
- Division of Nuclear Medicine and Translational Imaging, Department of Medical Imaging, Faculty of Medicine, University of Debrecen, Nagyerdei krt. 98., Debrecen, 4032, Hungary
| | - Aron K Krizsan
- ScanoMed Nuclear Medicine Centers, Nagyerdei krt. 98., Debrecen, 4032, Hungary
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Computed tomography tissue equivalence of 3D printing materials. Radiography (Lond) 2022; 28:788-792. [DOI: 10.1016/j.radi.2022.02.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 02/14/2022] [Accepted: 02/16/2022] [Indexed: 11/22/2022]
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Material design of soft biological tissue replicas using viscoelastic micromechanical modelling. J Mech Behav Biomed Mater 2021; 125:104875. [PMID: 34695662 DOI: 10.1016/j.jmbbm.2021.104875] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 08/17/2021] [Accepted: 09/29/2021] [Indexed: 01/17/2023]
Abstract
Anatomical models for research and education are often made of artificial materials that attempt to mimic biological tissues in terms of their mechanical properties. Recent developments in additive manufacturing allow tuning mechanical properties with microstructural designs. We propose a strategy for designing material microstructures to mimic soft tissue viscoelastic behaviour, based on a micromechanical Mori-Tanaka model. The model was applied to predict homogenised viscoelastic properties of materials, exhibiting a matrix-inclusion microstructure with varying inclusion volume fractions. The input properties were thereby obtained from compression relaxation tests on silicone elastomers. Validation of the model was done with experimental results for composite samples. Finally, different combinations of silicones were compared to mechanical properties of soft tissues (hepatic, myocardial, adipose, cervical, and prostate tissue), found in literature, in order to design microstructures for replicating these tissues in terms of viscoelasticity. The viscoelastic Mori-Tanaka model showed good agreement with the corresponding experimental results for low inclusion volume fractions, while high fractions lead to underestimation of the complex modulus by the model. Predictions for the loss tangent were reasonably accurate, even for higher inclusion volume fractions. Based on the model, designs for 3D printed microstructures can be extracted in order to replicate the viscoelastic properties of soft tissues.
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Yuan Q, Chen X, Zhai J, Chen Y, Liu Q, Tan Z, Chen G, Zhuang K, Zhang J, Xu X, Qiang D, Shao X. Application of 3D modeling and fusion technology of medical image data in image teaching. BMC MEDICAL EDUCATION 2021; 21:194. [PMID: 33823845 PMCID: PMC8025386 DOI: 10.1186/s12909-021-02620-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 03/15/2021] [Indexed: 05/14/2023]
Abstract
BACKGROUND We combined anatomy with imaging, transformed the 2D information of various imaging techniques into 3D information, and form the assessment system of real medical imaging cases in order to make up for the deficiencies in the current teaching of the medical imaging technology students. METHODS A total of 460 medical imaging students were selected and randomly divided into two groups. The research group received the teaching of the fusion of the original CT and MR data 3D model and the original image combined with 3D anatomical image. CT and MRI data are imported through load DICOM of 3D slicer. Different tissues and organs are segmented by threshold and watershed algorithm of segment editor module. Models are exported through export / import models and label maps in segmentation. Save the NHDR file of the original data and Obj file of the corresponding model through save the NHDR and corresponding Obj files are loaded into probe 1.0 software. The software can give different colors to the three-dimensional models of different organs or tissues to display the stereo models and related data, and display the hook edges of organ models on coronal, sagittal and axial images. At the same time, annotation can be established in the corresponding anatomical position. Finally, it can be saved as a single file of Hwl, and the teaching can be opened at any time through the program of probe 1.0. Statistical analysis Academic self-efficacy scale and Self-directed learning ability scale was adopted by self-directed learning evaluation scale between two groups. RESULTS Compare the theoretical scores and case analysis scores of the two groups. The scores of the study and control groups were significantly higher than those of the control group. Before the experiment, no significant difference was detected in the self-efficacy of learning ability and learning behavior between the two groups, while after the experiment, these differences between the two groups were statistically significan. Moreover, the learning ability self-efficacy and learning behavior of the two groups of students after the experiment was significantly higher than that before the experiment. The self-efficacy of the learning behavior of the control group was higher after the experiment than that before the experiment, albeit the difference was not statistically significant. CONCLUSIONS The modern, information-based and humanized experimental teaching mode will be constantly improved under the support of PACS system in order to optimize the medical imaging teaching activities for the development of modern medical education.
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Affiliation(s)
- Quan Yuan
- Department of Imaging, Yi-Ji Shan Hospital, Wannan Medical College, Zheshan West Road on the 2nd, Wuhu, 241000 Anhui China
| | - Xiaomei Chen
- Department of Imaging, Yi-Ji Shan Hospital, Wannan Medical College, Zheshan West Road on the 2nd, Wuhu, 241000 Anhui China
| | - Jian Zhai
- Department of Imaging, Yi-Ji Shan Hospital, Wannan Medical College, Zheshan West Road on the 2nd, Wuhu, 241000 Anhui China
| | - Yadi Chen
- Department of Imaging, Yi-Ji Shan Hospital, Wannan Medical College, Zheshan West Road on the 2nd, Wuhu, 241000 Anhui China
| | - Qingxiang Liu
- Department of Imaging, Yi-Ji Shan Hospital, Wannan Medical College, Zheshan West Road on the 2nd, Wuhu, 241000 Anhui China
| | - Zhongxiao Tan
- Department of Imaging, Yi-Ji Shan Hospital, Wannan Medical College, Zheshan West Road on the 2nd, Wuhu, 241000 Anhui China
| | - Gao Chen
- Hewanlan digital S T CO.LTD, Shuihu Road on Room204 First building, HeFei, 230000 Anhui China
| | - Kangle Zhuang
- Hewanlan digital S T CO.LTD, Shuihu Road on Room204 First building, HeFei, 230000 Anhui China
| | - Jianying Zhang
- Department of Imaging, Yi-Ji Shan Hospital, Wannan Medical College, Zheshan West Road on the 2nd, Wuhu, 241000 Anhui China
| | - Xi Xu
- Hewanlan digital S T CO.LTD, Shuihu Road on Room204 First building, HeFei, 230000 Anhui China
| | - Di Qiang
- Department of Imaging, Yi-Ji Shan Hospital, Wannan Medical College, Zheshan West Road on the 2nd, Wuhu, 241000 Anhui China
| | - Xuefei Shao
- Department of Imaging, Yi-Ji Shan Hospital, Wannan Medical College, Zheshan West Road on the 2nd, Wuhu, 241000 Anhui China
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Pennarossa G, Arcuri S, De Iorio T, Gandolfi F, Brevini TAL. Current Advances in 3D Tissue and Organ Reconstruction. Int J Mol Sci 2021; 22:E830. [PMID: 33467648 PMCID: PMC7830719 DOI: 10.3390/ijms22020830] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 12/31/2020] [Accepted: 01/13/2021] [Indexed: 12/11/2022] Open
Abstract
Bi-dimensional culture systems have represented the most used method to study cell biology outside the body for over a century. Although they convey useful information, such systems may lose tissue-specific architecture, biomechanical effectors, and biochemical cues deriving from the native extracellular matrix, with significant alterations in several cellular functions and processes. Notably, the introduction of three-dimensional (3D) platforms that are able to re-create in vitro the structures of the native tissue, have overcome some of these issues, since they better mimic the in vivo milieu and reduce the gap between the cell culture ambient and the tissue environment. 3D culture systems are currently used in a broad range of studies, from cancer and stem cell biology, to drug testing and discovery. Here, we describe the mechanisms used by cells to perceive and respond to biomechanical cues and the main signaling pathways involved. We provide an overall perspective of the most recent 3D technologies. Given the breadth of the subject, we concentrate on the use of hydrogels, bioreactors, 3D printing and bioprinting, nanofiber-based scaffolds, and preparation of a decellularized bio-matrix. In addition, we report the possibility to combine the use of 3D cultures with functionalized nanoparticles to obtain highly predictive in vitro models for use in the nanomedicine field.
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Affiliation(s)
- Georgia Pennarossa
- Laboratory of Biomedical Embryology, Department of Health, Animal Science and Food Safety and Center for Stem Cell Research, Università degli Studi di Milano, Via Celoria 10, 20133 Milan, Italy; (G.P.); (S.A.); (T.D.I.)
| | - Sharon Arcuri
- Laboratory of Biomedical Embryology, Department of Health, Animal Science and Food Safety and Center for Stem Cell Research, Università degli Studi di Milano, Via Celoria 10, 20133 Milan, Italy; (G.P.); (S.A.); (T.D.I.)
| | - Teresina De Iorio
- Laboratory of Biomedical Embryology, Department of Health, Animal Science and Food Safety and Center for Stem Cell Research, Università degli Studi di Milano, Via Celoria 10, 20133 Milan, Italy; (G.P.); (S.A.); (T.D.I.)
| | - Fulvio Gandolfi
- Department of Agricultural and Environmental Sciences—Production, Landscape, Agroenergy and Center for Stem Cell Research, Università degli Studi di Milano, Via Celoria 2, 20133 Milan, Italy;
| | - Tiziana A. L. Brevini
- Laboratory of Biomedical Embryology, Department of Health, Animal Science and Food Safety and Center for Stem Cell Research, Università degli Studi di Milano, Via Celoria 10, 20133 Milan, Italy; (G.P.); (S.A.); (T.D.I.)
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