Feasibility of using vessel-detection software for the endovascular treatment of visceral arterial bleeding
Jin Iwazawa1, Shoichi Ohueo, Naoko Hashimoto
1From the Deparment of Radiology (J.I. e-mail: iwazawa.jin@nissay-hp.or.jp, N.H., T.M.), Nissay Hospital, Osaka, Japan; the Department of Radiology (S.O.), Komatsu Hospital, Neyagawa, Japan.
Abstract:
We aimed to investigate the feasibility of using vessel-detection software to identify damaged arteries during endovascular embolization in five patients with visceral arterial hemorrhages. We used a software program originally developed to detect tumor feeder vessels in liver tumor embolization with C-arm computed tomography datasets to detect the vessels responsible for the arterial hemorrhages in patients with splenic artery pseudoaneurysms (n=2), lower gastrointestinal bleeding (n=2), and bladder tumor bleeding (n=1). In all cases, the injured vessel was identified accurately on a three-dimensional vascular map at the optimal working angle with a relatively short mean processing time of 118 s (range, 107-136 s). The operating angiographers used this information to direct the catheter into the damaged artery without sequential angiographic runs. The software analysis was also used to plan coil delivery to the most appropriate site in the injured artery. The results suggest that the vessel-detection software for liver tumor embolization can also be used to detect damaged vessels and to plan treatment strategies in endovascular embolization of visceral arterial hemorrhage.
Insights
Vessel-detection software accurately identified damaged arteries in patients with visceral arterial hemorrhage, aiding endovascular embolization planning and catheter navigation. This technology streamlines treatment for conditions like splenic artery pseudoaneurysms and gastrointestinal bleeding.
Area of Science:
- Interventional Radiology
- Medical Imaging Analysis
- Vascular Surgery
Background:
- Endovascular embolization is crucial for treating visceral arterial hemorrhages.
- Accurate identification of bleeding vessels is essential for successful embolization.
- Current methods may involve multiple angiographic runs, increasing procedure time and radiation exposure.
Purpose of the Study:
- To evaluate the feasibility of using vessel-detection software for identifying damaged arteries in visceral arterial hemorrhage.
- To assess the software's utility in planning endovascular embolization strategies.
- To determine the accuracy and efficiency of the software in real-time clinical application.
Main Methods:
- A software program, initially designed for liver tumor embolization, was applied to C-arm computed tomography datasets of five patients with visceral arterial hemorrhages.
- The software identified bleeding vessels in cases of splenic artery pseudoaneurysms, lower gastrointestinal bleeding, and bladder tumor bleeding.
- The software generated a three-dimensional vascular map to guide catheter placement and coil delivery.
Main Results:
- The vessel-detection software accurately identified the injured arteries in all five patients.
- The mean processing time for vessel detection was 118 seconds (range, 107-136 seconds).
- The software facilitated precise catheter navigation and informed coil delivery planning, reducing the need for sequential angiographic runs.
Conclusions:
- Vessel-detection software is a feasible tool for identifying damaged arteries in visceral arterial hemorrhage.
- The software aids in planning and executing endovascular embolization procedures more efficiently.
- This technology shows promise for improving treatment strategies in interventional radiology for various bleeding conditions.
