1
|
Peng J, Guo W, Yang D, Yang G, Shu Y, Li Y, Rao L, Yu P, Li L. Research and application discussion of cranial bone model preparation method based on three-dimensional reconstruction and 3D printing technology. Surg Radiol Anat 2024:10.1007/s00276-024-03455-1. [PMID: 39120797 DOI: 10.1007/s00276-024-03455-1] [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: 04/02/2024] [Accepted: 07/30/2024] [Indexed: 08/10/2024]
Abstract
PURPOSE The aim of this study was to find an alternative method to meet traditional human anatomy teaching and clinical needs in order to solve the problem of cranial specimen attrition and specimen resource shortage due to long-term use. METHODS We performed a computed tomography (CT) scan of a well-preserved male cranial specimen and used Mimics 19.0 software for 3D reconstruction and cranial block separation. Subsequently, we compared the recognition ability of the processed cranial digital model with that of the 3D body digital model and used 3D printing to create the cranial model and compare it with the physical specimen. RESULTS Twenty-two cranial bone block models were obtained, excluding the hyoid bone. Their 3D reconstructed digital models had better bony landmark recognition than the 3D body human digital models, and the differences between the 3D printed models and the physical specimens were minimal. In addition, only one stereolithography (STL) file was required to produce the cranial models, which facilitates repetitive printing at any time. CONCLUSION By isolating cranial bone blocks through 3D reconstruction techniques and preparing high-quality cranial models in combination with 3D printing techniques, this study solves the problem of shortage of cranial teaching specimens for the sustainable development of clinical and medical schools.
Collapse
Affiliation(s)
- Jing Peng
- Hunan University of Medicine, Huaihua, 418000, Hunan Province, China
- Huaihua Key Laboratory of Digital Anatomy and 3D Printing for Clinical Translational Research, Huaihua, 418000, Hunan Province, China
| | - Wenjie Guo
- Hunan University of Medicine, Huaihua, 418000, Hunan Province, China
- Huaihua Key Laboratory of Digital Anatomy and 3D Printing for Clinical Translational Research, Huaihua, 418000, Hunan Province, China
| | - Deqin Yang
- Hunan University of Medicine, Huaihua, 418000, Hunan Province, China
- Innovation and Entrepreneurship Education Center for Clinical Translational Application of Digital Anatomy and 3D Printing Technology in General Colleges and Universities in Hunan Province, Huaihua, 418000, Hunan Province, China
| | - Guohui Yang
- Hunan University of Medicine, Huaihua, 418000, Hunan Province, China
- Innovation and Entrepreneurship Education Center for Clinical Translational Application of Digital Anatomy and 3D Printing Technology in General Colleges and Universities in Hunan Province, Huaihua, 418000, Hunan Province, China
| | - Yanhong Shu
- Hunan University of Medicine, Huaihua, 418000, Hunan Province, China
- Innovation and Entrepreneurship Education Center for Clinical Translational Application of Digital Anatomy and 3D Printing Technology in General Colleges and Universities in Hunan Province, Huaihua, 418000, Hunan Province, China
| | - Ying Li
- Hunan University of Medicine, Huaihua, 418000, Hunan Province, China
- Innovation and Entrepreneurship Education Center for Clinical Translational Application of Digital Anatomy and 3D Printing Technology in General Colleges and Universities in Hunan Province, Huaihua, 418000, Hunan Province, China
| | - Libing Rao
- Hunan University of Medicine, Huaihua, 418000, Hunan Province, China
- Huaihua Key Laboratory of Digital Anatomy and 3D Printing for Clinical Translational Research, Huaihua, 418000, Hunan Province, China
- Innovation and Entrepreneurship Education Center for Clinical Translational Application of Digital Anatomy and 3D Printing Technology in General Colleges and Universities in Hunan Province, Huaihua, 418000, Hunan Province, China
| | - Penghui Yu
- Hunan University of Medicine, Huaihua, 418000, Hunan Province, China.
- Huaihua Key Laboratory of Digital Anatomy and 3D Printing for Clinical Translational Research, Huaihua, 418000, Hunan Province, China.
- Innovation and Entrepreneurship Education Center for Clinical Translational Application of Digital Anatomy and 3D Printing Technology in General Colleges and Universities in Hunan Province, Huaihua, 418000, Hunan Province, China.
| | - Li Li
- Hunan University of Medicine, Huaihua, 418000, Hunan Province, China.
- Huaihua Key Laboratory of Digital Anatomy and 3D Printing for Clinical Translational Research, Huaihua, 418000, Hunan Province, China.
- Innovation and Entrepreneurship Education Center for Clinical Translational Application of Digital Anatomy and 3D Printing Technology in General Colleges and Universities in Hunan Province, Huaihua, 418000, Hunan Province, China.
| |
Collapse
|
2
|
Shamir SB, Sasson AL, Margolies LR, Mendelson DS. New Frontiers in Breast Cancer Imaging: The Rise of AI. Bioengineering (Basel) 2024; 11:451. [PMID: 38790318 PMCID: PMC11117903 DOI: 10.3390/bioengineering11050451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 04/18/2024] [Accepted: 04/26/2024] [Indexed: 05/26/2024] Open
Abstract
Artificial intelligence (AI) has been implemented in multiple fields of medicine to assist in the diagnosis and treatment of patients. AI implementation in radiology, more specifically for breast imaging, has advanced considerably. Breast cancer is one of the most important causes of cancer mortality among women, and there has been increased attention towards creating more efficacious methods for breast cancer detection utilizing AI to improve radiologist accuracy and efficiency to meet the increasing demand of our patients. AI can be applied to imaging studies to improve image quality, increase interpretation accuracy, and improve time efficiency and cost efficiency. AI applied to mammography, ultrasound, and MRI allows for improved cancer detection and diagnosis while decreasing intra- and interobserver variability. The synergistic effect between a radiologist and AI has the potential to improve patient care in underserved populations with the intention of providing quality and equitable care for all. Additionally, AI has allowed for improved risk stratification. Further, AI application can have treatment implications as well by identifying upstage risk of ductal carcinoma in situ (DCIS) to invasive carcinoma and by better predicting individualized patient response to neoadjuvant chemotherapy. AI has potential for advancement in pre-operative 3-dimensional models of the breast as well as improved viability of reconstructive grafts.
Collapse
Affiliation(s)
- Stephanie B. Shamir
- Department of Diagnostic, Molecular and Interventional Radiology, The Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY 10029, USA
| | | | | | | |
Collapse
|
3
|
Abramson Z, Thompson D, Goode C, Morin CE, Daniels S, Choudhri AF, Davidoff AM. Current and emerging 3D visualization technologies in radiology. Pediatr Radiol 2024; 54:684-692. [PMID: 38332355 DOI: 10.1007/s00247-024-05875-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 01/30/2024] [Accepted: 01/30/2024] [Indexed: 02/10/2024]
Abstract
As the field of three-dimensional (3D) visualization rapidly advances, how healthcare professionals perceive and interact with real and virtual objects becomes increasingly complex. Lack of clear vocabulary to navigate the changing landscape of 3D visualization hinders clinical and scientific advancement, particularly within the field of radiology. In this article, we provide foundational definitions and illustrative examples for 3D visualization in clinical care, with a focus on the pediatric patient population. We also describe how understanding 3D visualization tools enables better alignment of hardware and software products with intended use-cases, thereby maximizing impact for patients, families, and healthcare professionals.
Collapse
Affiliation(s)
- Zachary Abramson
- Department of Diagnostic Imaging, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, TN, 38105, USA.
| | - Dylan Thompson
- Department of Biomedical Engineering, The University of Memphis, 3806 Norriswood Avenue, Memphis, TN, USA
| | - Chris Goode
- Department of Diagnostic Imaging, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, TN, 38105, USA
| | - Cara E Morin
- Department of Radiology, Cincinnati Children's Hospital, 3333 Burnet Ave, Cincinnati, OH, USA
| | - Sarah Daniels
- Child Life Program, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, TN, USA
| | - Asim F Choudhri
- Department of Radiology, Le Bonheur Children's Hospital, University of Tennessee Health Science Center, 50 N. Dunlap St., Memphis, TN, USA
| | - Andrew M Davidoff
- Department of Surgery, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, TN, USA
| |
Collapse
|
4
|
Ullah M, Bibi A, Wahab A, Hamayun S, Rehman MU, Khan SU, Awan UA, Riaz NUA, Naeem M, Saeed S, Hussain T. Shaping the Future of Cardiovascular Disease by 3D Printing Applications in Stent Technology and its Clinical Outcomes. Curr Probl Cardiol 2024; 49:102039. [PMID: 37598773 DOI: 10.1016/j.cpcardiol.2023.102039] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Accepted: 08/15/2023] [Indexed: 08/22/2023]
Abstract
Cardiovascular disease (CVD) is a leading cause of death worldwide. In recent years, 3D printing technology has ushered in a new era of innovation in cardiovascular medicine. 3D printing in CVD management encompasses various aspects, from patient-specific models and preoperative planning to customized medical devices and novel therapeutic approaches. In-stent technology, 3D printing has revolutionized the design and fabrication of intravascular stents, offering tailored solutions for complex anatomies and individualized patient needs. The advantages of 3D-printed stents, such as improved biocompatibility, enhanced mechanical properties, and reduced risk of in-stent restenosis. Moreover, the clinical trials and case studies that shed light on the potential of 3D printing technology to improve patient outcomes and revolutionize the field has been comprehensively discussed. Furthermore, regulatory considerations, and challenges in implementing 3D-printed stents in clinical practice are also addressed, underscoring the need for standardization and quality assurance to ensure patient safety and device reliability. This review highlights a comprehensive resource for clinicians, researchers, and policymakers seeking to harness the full potential of 3D printing technology in the fight against CVD.
Collapse
Affiliation(s)
- Muneeb Ullah
- Department of Pharmacy, Kohat University of Science, and technology (KUST), Kohat, Khyber Pakhtunkhwa, Pakistan
| | - Ayisha Bibi
- Department of Pharmacy, Kohat University of Science, and technology (KUST), Kohat, Khyber Pakhtunkhwa, Pakistan
| | - Abdul Wahab
- Department of Pharmacy, Kohat University of Science, and technology (KUST), Kohat, Khyber Pakhtunkhwa, Pakistan
| | - Shah Hamayun
- Department of Cardiology, Pakistan Institute of Medical Sciences (PIMS), Islamabad, Pakistan
| | - Mahboob Ur Rehman
- Department of Cardiology, Pakistan Institute of Medical Sciences (PIMS), Islamabad, Pakistan
| | - Shahid Ullah Khan
- Department of Biochemistry, Women Medical and Dental College, Khyber Medical University, Abbottabad, Khyber Pakhtunkhwa, Pakistan.
| | - Uzma Azeem Awan
- Department of Biological Sciences, National University of Medical Sciences (NUMS) Rawalpindi, Rawalpindi, Punjab, Pakistan
| | - Noor-Ul-Ain Riaz
- Department of Pharmacy, Kohat University of Science, and technology (KUST), Kohat, Khyber Pakhtunkhwa, Pakistan
| | - Muhammad Naeem
- Department of Biological Sciences, National University of Medical Sciences (NUMS) Rawalpindi, Rawalpindi, Punjab, Pakistan.
| | - Sumbul Saeed
- School of Environment and Science, Griffith University, Nathan, Queensland, Australia
| | - Talib Hussain
- Women Dental College Abbottabad, Abbottabad, Khyber Pakhtunkhwa, Pakistan
| |
Collapse
|
5
|
Láinez Ramos-Bossini AJ, López Cornejo D, Redruello Guerrero P, Ruiz Santiago F. The Educational Impact of Radiology in Anatomy Teaching: A Field Study Using Cross-Sectional Imaging and 3D Printing for the Study of the Spine. Acad Radiol 2024; 31:329-337. [PMID: 37925345 DOI: 10.1016/j.acra.2023.10.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Revised: 09/26/2023] [Accepted: 10/09/2023] [Indexed: 11/06/2023]
Abstract
INTRODUCTION Cross-sectional imaging and 3D printing represent state-of-the-art approaches to improve anatomy teaching compared to traditional learning, but their use in medical schools remains limited. This study explores the utility of these educational tools for teaching normal and pathological spinal anatomy, aiming to improve undergraduate medical education. MATERIALS AND METHODS A field study was conducted on a cohort of undergraduate medical students who were exposed to anatomy lessons of the spine considering three learning paradigms: traditional learning, cross-sectional imaging examinations, and 3D printed models. 20 students (intervention group) received the three approaches, and other 20 students (control group) received the conventional (traditional) approach. The students were examined through a multiple-choice test and their results were compared to those of a control group exposed to traditional learning matched by age, sex and anatomy grades. In addition, students in the experimental group were assessed for their satisfaction with each learning method by means of an ad hoc questionnaire. RESULTS Students exposed to cross-sectional imaging and 3D printing demonstrated better knowledge outcomes compared to the control group. They showed high satisfaction rates and reported that these technologies enhanced spatial understanding and facilitated visualization of specific pathologies. However, limitations such as the representativeness of non-bone conditions in 3D printed models and the need for further knowledge on imaging fundamentals were highlighted. CONCLUSION Cross-sectional imaging and 3D printing offer valuable tools for enhancing the teaching of spinal anatomy in undergraduate medical education. Radiologists are well positioned to lead the integration of these technologies, and further research should explore their potential in teaching anatomy across different anatomical regions.
Collapse
Affiliation(s)
- Antonio Jesús Láinez Ramos-Bossini
- Unit of Musculoskeletal Radiology, Department of Radiology, Hospital Universitario Virgen de las Nieves, 18014 Granada, Spain (A.J.L.R.B., F.R.S.); Biosanitary Institute of Granada (ibs.GRANADA), 18016 Granada, Spain (A.J.L.R.B., P.R.G., F.R.S.); PhD Programme in Clinical Medicine and Public Health, University of Granada, 18071 Granada, Spain (A.J.L.R.B.).
| | - David López Cornejo
- Department of Electronics and Computer Technology, Faculty of Science, University of Granada, 18071 Granada, Spain (D.L.C.)
| | - Pablo Redruello Guerrero
- Biosanitary Institute of Granada (ibs.GRANADA), 18016 Granada, Spain (A.J.L.R.B., P.R.G., F.R.S.)
| | - Fernando Ruiz Santiago
- Unit of Musculoskeletal Radiology, Department of Radiology, Hospital Universitario Virgen de las Nieves, 18014 Granada, Spain (A.J.L.R.B., F.R.S.); Biosanitary Institute of Granada (ibs.GRANADA), 18016 Granada, Spain (A.J.L.R.B., P.R.G., F.R.S.); Department of Radiology and Physical Medicine, School of Medicine, University of Granada, 18016 Granada, Spain (F.R.S.)
| |
Collapse
|