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Al-Sharydah AM, BinShaiq FK, Aloraifi RI, Almefleh AA, Alessa SA, Alobud AS, AlSharidah AM, Bin Dahmash A, Al-Aftan MS, Al-Dhaferi BF. Procedural Software Toolkit in the Armamentarium of Interventional Therapies: A Review of Additive Usefulness and Current Evidence. Diagnostics (Basel) 2023; 13:diagnostics13040765. [PMID: 36832254 PMCID: PMC9955934 DOI: 10.3390/diagnostics13040765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 02/14/2023] [Indexed: 02/22/2023] Open
Abstract
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.
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Affiliation(s)
- Abdulaziz M. Al-Sharydah
- Diagnostic and Interventional Radiology Department, King Fahd Hospital of the University, Imam Abdulrahman Bin Faisal University, AlKhobar City 36277, Eastern Province, Saudi Arabia
- Correspondence:
| | - Faisal Khalid BinShaiq
- College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh 14611, Riyadh Province, Saudi Arabia
| | - Rayan Ibrahim Aloraifi
- College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh 14611, Riyadh Province, Saudi Arabia
| | - Abdulrahman Abdulaziz Almefleh
- College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh 14611, Riyadh Province, Saudi Arabia
| | - Saud Abdulaziz Alessa
- College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh 14611, Riyadh Province, Saudi Arabia
| | - Adi Saud Alobud
- College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh 14611, Riyadh Province, Saudi Arabia
| | - Abdulmonem Mohammed AlSharidah
- College of Medicine, King Fahd Hospital of the University, Imam Abdulrahman Bin Faisal University, AlKhobar City 36277, Eastern Province, Saudi Arabia
| | | | - Mohammad S. Al-Aftan
- Diagnostic and Interventional Radiology Department, King Fahd Hospital of the University, Imam Abdulrahman Bin Faisal University, AlKhobar City 36277, Eastern Province, Saudi Arabia
| | - Bander Fuhaid Al-Dhaferi
- Diagnostic and Interventional Radiology Department, King Fahd Hospital of the University, Imam Abdulrahman Bin Faisal University, AlKhobar City 36277, Eastern Province, Saudi Arabia
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Arrichiello A, Ierardi AM, Caruso A, Grillo P, Di Meglio L, Biondetti P, Iavarone M, Sangiovanni A, Angileri SA, Floridi C, Wood B, Carrafiello G. Virtual Treatment Zone From Cone Beam CT Commonly Alters Treatment Plan and Identifies Tumor at Risk for Under-Treatment in US or US Fusion-Guided Microwave Ablation of Liver Tumors. Technol Cancer Res Treat 2023; 22:15330338231181284. [PMID: 37608564 PMCID: PMC10467384 DOI: 10.1177/15330338231181284] [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: 10/19/2022] [Revised: 05/22/2023] [Accepted: 05/24/2023] [Indexed: 08/24/2023] Open
Abstract
Tumor ablation is included in several major cancer therapy guidelines. One technical challenge of percutaneous ablation is targeting and verification of complete treatment, which is prone to operator variabilities and human imperfections and are directly related to successful outcomes, risk for residual unablated tumor and local progression. The use of "Prediction Ablation Volume Software" may help the operating Interventional Radiologist to better plan, deliver, and verify before the ablation, via virtual treatment zones fused to target tumor. Fused and superimposed images provide 3-dimensional information from different timepoints, just when that information is most useful. The aim of this study is to evaluate the technical success and efficacy of an ablation treatment flowchart provided by a cone beam computed tomography (CBCT) "Prediction Ablation Volume Software." This is a single-center retrospective study. From April 2021 to January 2022, 29 nonconsecutive evaluable patients with 32 lesions underwent liver ablation with Prediction Ablation Volume Software. Each patient was discussed in a multidisciplinary tumor board and underwent an enhanced computed tomography or magnetic resonance imaging approximately 1 month before the procedure, as well as ∼1 month after. Technical success was defined as treatment of the tumor according to the protocol, covered completely by the Prediction Ablation Volume. Technical efficacy was defined as assessment of complete ablation of the target tumor at imaging follow up (∼1 month). Technical success, technical efficacy, and procedural factors were studied. Technical success was achieved in 30 of 32 liver lesions (94%), measuring 20 mm mean maximum diameter. The antenna was repositioned in 16 of 30 (53%) evaluable target lesions. Residual tumor was detected at 1 month imaging follow up in only 4 of 30 (13%) of the treated lesion. Technical efficacy was of 87% in this retrospective description of our process. The implementation of a CBCT Prediction Ablation Volume Software and flowchart for the treatment of liver malignancies altered the procedure, and demonstrated high technical success and efficacy. Such tools are potentially useful for procedural prediction and verification of ablation.
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Affiliation(s)
- Antonio Arrichiello
- Operative Unit of Radiology, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico di Milano, Milan, Italy
- Center for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA
| | - Anna Maria Ierardi
- Operative Unit of Radiology, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico di Milano, Milan, Italy
| | - Alessandro Caruso
- Operative Unit of Radiology, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico di Milano, Milan, Italy
| | - Pasquale Grillo
- Operative Unit of Radiology, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico di Milano, Milan, Italy
| | - Letizia Di Meglio
- Operative Unit of Radiology, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico di Milano, Milan, Italy
| | - Pierpaolo Biondetti
- Operative Unit of Radiology, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico di Milano, Milan, Italy
| | - Massimo Iavarone
- SC Gastroenterology and Hepatology, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico di Milano, Milano, Italy
| | - Angelo Sangiovanni
- SC Gastroenterology and Hepatology, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico di Milano, Milano, Italy
| | - Salvatore Alessio Angileri
- Operative Unit of Radiology, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico di Milano, Milan, Italy
| | - Chiara Floridi
- Department of Clinical, Special and Dental Sciences, Division of Interventional Radiology, University Politecnica delle Marche, Ancona, Italy
| | - Bradford Wood
- Center for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA
| | - Gianpaolo Carrafiello
- Operative Unit of Radiology, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico di Milano, Milan, Italy
- Center for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA
- SC Gastroenterology and Hepatology, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico di Milano, Milano, Italy
- Department of Clinical, Special and Dental Sciences, Division of Interventional Radiology, University Politecnica delle Marche, Ancona, Italy
- Department of Health Sciences, Università degli Studi di Milano, Milano, Italy
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