Procedural Software Toolkit in the Armamentarium of Interventional Therapies: A Review of Additive Usefulness and Current Evidence

• Published in: Diagnostics (Basel) 2023-02, Vol.13 (4), p.765
• Main Authors: Al-Sharydah, Abdulaziz M, BinShaiq, Faisal Khalid, Aloraifi, Rayan Ibrahim, Almefleh, Abdulrahman Abdulaziz, Alessa, Saud Abdulaziz, Alobud, Adi Saud, AlSharidah, Abdulmonem Mohammed, Bin Dahmash, Abdulmajeed, Al-Aftan, Mohammad S, Al-Dhaferi, Bander Fuhaid
• Format: Article
• Language: English
• Subjects: Citation management software; Dosimetry; embolization; Family physicians; imaging guidance; Interactive computer systems; interventional radiology; Liver cancer; Localization; Medical imaging; Observational studies; oncology; Patients; Planning; Radiation; Radiology; Radiology, Medical; Review; Simulation; targeting materials; Technology application; thermal ablation; Three dimensional imaging; Tomography; Tumors; Visualization; Work stations
• ISSN: 2075-4418; 2075-4418
• DOI: 10.3390/diagnostics13040765

Interventional radiology is a fast-paced specialty that uses many advanced and emerging technological solutions. Several procedural hardware and software products are available commercially. Image-guided procedural software helps save time and effort in interventionist practice and adds precision to the intraoperative decisions made by the end user. Interventional radiologists, including interventional oncologists, have access to a wide range of commercially available procedural software that can be integrated into their workflow. However, the resources and real-world evidence related to such software are limited. Thus, we performed a detailed review of the current resources available, such as software-related publications, vendors' multimedia materials (e.g., user guides), and each software's functions and features, to compile a resource for interventional therapies. We also reviewed previous studies that have verified the use of such software in angiographic suites. Procedural software products will continue to increase in number and usage; these will likely be advanced further with deep learning, artificial intelligence, and new add-ins. Therefore, classifying procedural product software can improve our understanding of these entities. This review significantly contributes to the existing literature because it highlights the lack of studies on procedural product software.