The Use of 3D Printing in Fetal Surgery for Surgical Planning: A Scoping Review.
Aaron J FilsJulia KasmirskiOluwateniayo OkpaiseDaniel E JimenezGabriele TonniHeron Werner JuniorRodrigo RuanoPublished in: Journal of clinical medicine (2024)
Objectives : We sought to identify in which clinical scenarios 3D printed models are used to plan for fetal surgeries as well as the main purpose and the imaging method utilized for the models. In addition, we describe benefits and shortcomings of the models, as well as potential future improvements. Methods : In this scoping review, data were collected retrospectively from scientific databases (PubMed, Embase, Cochrane CENTRAL, CINAHL, Scopus, and the Web of Science platform) and screened by title, abstract, and full text against strict criteria. The inclusion criteria required the study be performed on a live fetus and involve 3D models used for fetal surgery. The models must have been designed from diagnostic imaging modalities such as CT, MRI, or ultrasound. The articles considered include clinical trials, review articles, cohort studies, case series, case reports, and conference abstracts. Results : Of the initial 742 articles collected, six met the inclusion criteria. Spina bifida and EXIT procedures were the most frequent use cases that inspired surgeons to print models for surgical planning. The ability to view patient-specific anatomy in a 3D handheld model was often touted as providing a great benefit to the surgical team's ability to anticipate intraoperative challenges. Conclusions : Three-dimensional printing models have been applied to plan for fetal surgeries, more specifically, for EXIT procedures and fetoscopic surgical repair of spina bifida. The potential benefits of 3D printing in fetal surgery are enormous.
Keyphrases
- minimally invasive
- clinical trial
- magnetic resonance imaging
- high resolution
- coronary artery bypass
- computed tomography
- public health
- contrast enhanced
- case report
- big data
- patients undergoing
- coronary artery disease
- risk assessment
- smoking cessation
- palliative care
- electronic health record
- quality improvement
- machine learning
- percutaneous coronary intervention
- climate change
- dual energy
- study protocol
- double blind