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Quarterly Journal of Emerging Technologies and Innovations

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Published

2021-01-09

Issue

Vol. 6 No. 1 (2021): QJETI-JANUARY-MARCH-2021

Section

Articles

How to Cite

Pugliesi, R. A. (2021). Applications of 3D-Printed Models in Medical Practice: A Review of Cardiology, Neurosurgery, Imaging, and Urology. Quarterly Journal of Emerging Technologies and Innovations, 6(1), 14–26. Retrieved from https://vectoral.org/index.php/QJETI/article/view/16

Applications of 3D-Printed Models in Medical Practice: A Review of Cardiology, Neurosurgery, Imaging, and Urology

Rosa Alba Pugliesi

MD, Klinikum Ludwigsburg, Germany

https://orcid.org/0000-0001-5108-2104

Keywords: 3D-printed models, Cardiology, Neurosurgery, Medical education, Urology

Abstract

Three-dimensional (3D) printing technology has gained significant traction in the field of medicine, offering innovative solutions to enhance patient care and medical education across various disciplines. In this research abstract, we explore the diverse applications of 3D-printed models in cardiology, neurosurgery, education and training, imaging, and urology. In cardiology, 3D-printed models generated from magnetic resonance angiography (MRA) images have emerged as indispensable tools for clinicians. These models aid in comprehending the intricate and unique vasculature of patients, proving vital for presurgical planning. Notably, they have proven exceptionally valuable in the management of congenital heart disease and have enabled the simulation of interventional cardiology procedures. Within neurosurgery, neurologists and neurosurgeons have utilized 3D-printed brain models as adjuncts during surgical planning, particularly for delicate conditions like intractable epilepsy. These models showcase the entire nerve tract in the brain by fusing multiple MRI contrasts into a single print, facilitating realistic and cost-effective simulations of challenging surgeries. Beyond surgical planning, 3D-printed models have become valuable educational tools, aiding medical staff, patients, and their families in comprehending anatomy more effectively than conventional medical imaging and virtual 3D models. In the realm of medical imaging, 3D printing technology has been instrumental in determining optimal imaging sequences for MRI protocols, offering valuable insights for improved diagnostic accuracy and patient outcomes. Moreover, 3D-printed urologic cancer models have demonstrated their efficacy in urology by enhancing preoperative planning and patient comprehension of their condition. These models enable physicians to formulate better treatment strategies and empower patients to make informed decisions about their health.

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Submission Guidelines for the Journal of Quarterly Journal of Emerging Technologies and Innovations (QJETI) General Guidelines:

  1. Article Types: We accept a variety of article types including Original Research Articles, Review Papers, Short Reports, and Opinion Pieces.

  2. Language: Manuscripts must be written in English, and should be clear, concise, and free of jargon.

  3. Length: There is no strict word limit, but Original Research Articles should generally be between 4,000 and 10,000 words, including references.

  4. Formatting: Manuscripts should be submitted as a single Word or LaTeX document, formatted in double-spaced 12-point font.

  5. Abstract: An abstract of 250-300 words is required for all submissions, summarizing the key objectives, methods, findings, and implications of the research.

Manuscript Structure:

  • Title Page: Must include the title, author names, affiliations, and contact information for the corresponding author.

  • Introduction: Provide background, state the problem, and outline objectives.

  • Methods: Detail the methods and tools used in your research.

  • Results: Present the findings of your study.

  • Discussion: Interpret results, discuss their impact, and suggest future research directions.

  • Conclusion: Summarize the main points of the paper.

  • References: Citations should be formatted according to the IEEE/APA style.

Ethical Guidelines:

Authors must ensure that their research adheres to ethical standards and that informed consent has been obtained for any human or animal subjects involved.

Plagiarism:

The Journal of Computational Social Dynamics uses plagiarism detection software. Any manuscript found to include plagiarized content will be rejected.

Peer Review Process:

All submissions undergo a double-blind peer review process. Authors can expect initial feedback within six to eight weeks.

Submission Process:
  1. Prepare your manuscript according to the guidelines.
  2. Submit your manuscript through our online portal.
  3. After submission, you will receive a confirmation email with a manuscript ID for tracking purposes.
Revisions:

If revisions are requested, authors must resubmit the revised manuscript within the specified timeframe.

Publication Fees:

The journal has a nominal publication fee, waived for authors who lack funding. Details are available on our website.

For any questions or concerns, please contact the editorial office at editorial@vectoral.org. Thank you for considering QJETI as a venue for your research.

Published by Vectoral Publishing, the Quarterly Journal of Emerging Technologies and Innovations maintains high standards in peer-review and scientific inquiry. Authors who wish to submit manuscripts should adhere to the guidelines detailed on our website, www.vectoral.org/QJETI. Vectoral Publishing does not bear any responsibility for the accuracy of information or for any outcomes related to the use of the research published. For editorial correspondence and submissions, please reach out to editorial@vectoral.org.