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Clinical situations for which 3D printing is considered an appropriate representation or extension of data contained in a medical imaging examination: pediatric congenital heart disease conditions.

Authors :
Ryan, Justin R.
Ghosh, Reena
Sturgeon, Greg
Ali, Arafat
Arribas, Elsa
Braden, Eric
Chadalavada, Seetharam
Chepelev, Leonid
Decker, Summer
Huang, Yu-Hui
Ionita, Ciprian
Lee, Joonhyuk
Liacouras, Peter
Parthasarathy, Jayanthi
Ravi, Prashanth
Sandelier, Michael
Sommer, Kelsey
Wake, Nicole
Rybicki, Frank
Ballard, David
Source :
3D Printing in Medicine; 1/29/2024, Vol. 10 Issue 1, p1-10, 10p
Publication Year :
2024

Abstract

Background: The use of medical 3D printing (focusing on anatomical modeling) has continued to grow since the Radiological Society of North America's (RSNA) 3D Printing Special Interest Group (3DPSIG) released its initial guideline and appropriateness rating document in 2018. The 3DPSIG formed a focused writing group to provide updated appropriateness ratings for 3D printing anatomical models across a variety of congenital heart disease. Evidence-based- (where available) and expert-consensus-driven appropriateness ratings are provided for twenty-eight congenital heart lesion categories. Methods: A structured literature search was conducted to identify all relevant articles using 3D printing technology associated with pediatric congenital heart disease indications. Each study was vetted by the authors and strength of evidence was assessed according to published appropriateness ratings. Results: Evidence-based recommendations for when 3D printing is appropriate are provided for pediatric congenital heart lesions. Recommendations are provided in accordance with strength of evidence of publications corresponding to each cardiac clinical scenario combined with expert opinion from members of the 3DPSIG. Conclusions: This consensus appropriateness ratings document, created by the members of the RSNA 3DPSIG, provides a reference for clinical standards of 3D printing for pediatric congenital heart disease clinical scenarios. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23656271
Volume :
10
Issue :
1
Database :
Complementary Index
Journal :
3D Printing in Medicine
Publication Type :
Academic Journal
Accession number :
175023025
Full Text :
https://doi.org/10.1186/s41205-023-00199-3