INTRODUCTION
In coil embolization of cerebral aneurysms, it is very important to guide microcatheters to the appropriate location in the aneurysm and stabilize them during procedures [3,6,8]. To do this, the microcatheters should be properly shaped. Usually, shaping is performed using the steam-shaping method, considering the complex vascular and aneurysmal geometry in the three-dimensional (3D) images. Lee et al. also reported that tailored steam shaping of the microcatheter is vital to achieve good angiographic outcomes in 429 anterior communicating artery (ACoA) aneurysms series [7]. However, this shaping currently depends completely on the doctor’s assumption, estimation, and experience. In other words, the operator should fully understand the complex vascular and aneurysmal geometry through 3D images and then shape the microcatheters following this geometry. In addition to the understanding of the complex vascular and aneurysmal geometry, the ideal path of microcatheter in blood vessels and aneurysm should be estimated. Since all these processes depend on appropriate estimation by the operators, they are, therefore, highly dependent on the experience and effort of such operators.
In this study, we carried out the shaping process of microcatheters using a computer application program (BVPF, Blood Vessel Path Finder; Kim’s laboratory, Kyeonggi-do, Korea) we developed and a three-dimensional printer (Form 2, Formlabs Inc., Somerville, MA, USA), without relying on the experiences and estimations of the operator. In addition, to confirm its feasibility, this microcatheter shaping method customized for patient-specific vessels, developed through this process, was applied to the 3D aneurysmal hollow model of the patients.
MATERIALS AND METHODS
Skeletalization of the complex vascular and aneurysmal geometry
Three-dimensional image data obtained through the examination of conventional cerebral angiography (CCA) are in the stereolithography or Standard Triangle Language (STL) file format (Fig. 1). This STL file from cerebral angiography allowed us to obtain and to use the 3D images of the patient’s vascular and aneurysmal geometry data. The major interested lesions were the two or three curves proximal to the aneurysm. For example, for an internal carotid artery (ICA)-paraclinoid aneurysm, there may be three curves such as the IC-aneurysmal axis curve, the ophthalmic segment curve, and the petrous-cavernous segment curve. In actual clinical practices, it is known that microcatheter shaping is performed only in the blood vessel region of interest, not in the entire blood vessel, and that it is empirically possible to perform endovascular coiling procedures using only a microcatheter shaped according to the shape of the blood vessel region of interest [6,8]. Therefore, only the blood vessel region of interest was extracted from the 3D image data obtained from the entire blood vessel, and the remaining blood vessels were excluded (pruning) (Fig. 2). In the blood vessel model of the regions of interest where this pruning was performed, the central line value of the blood vessel was calculated using the computer application program developed by our team (Fig. 3). By connecting these central line values of the blood vessel, skeletalization data of the blood vessel regions of interest were obtained. The skeletalization data of the blood vessel were printed out using a 3D printer (Fig. 4).
Expansion of the skeletalized vascular and aneurysmal geometric structure
The microcatheter was directly shaped as the skeletalized data shape of the blood vessel regions of interest using shaping mandrel and steaming. This shaped microcatheter may be placed in the center of the blood vessel where no force is received. However, during the procedure, the microcatheter is pushed backward because it receives a rearward push during coiling. In other words, the length of the central line may be short; therefore, efficient coiling treatment cannot be performed as confirmed in an actual procedure. When coiling aneurysms using microcatheters, it is often observed that the microcatheters travel longer along the outer curves of the blood vessels, rather than through shorter distances [8]. Therefore, the size of the patient-customized microcatheter model used in actual procedures should be larger (or longer) than the size of the skeletalized data shape connecting the central line of the blood vessel regions of interest. The difference between these two values may vary depending on the thickness and degree of curvature of the blood vessels and depending on the lesion site or the patient. We shaped microcatheters using an expansion value of about 10%, and we used Echelon 10 microcatheters (Medtronic, Irvine, CA, USA) that were shaped using shaping mandrel and by steaming for about 1 minute.
Coil embolization simulation using 3D aneurysmal models
The 3D hollow model of the patients’ blood vessel regions of interest was created using a 3D printer (Fig. 5A, B) as well as using the computer application program we developed. The catheterization procedures were simulated using the 3D hollow model of the blood vessel regions of interest and the microcatheters shaped according to the skeletalized data shape. These procedures could be visually observed because the 3D hollow model was semi-transparent due to the use of clear resins (Fig. 6). There were 10 models, including two ICA -paraclinoid aneurysms, two ICA-posterior communicating artery aneurysms, two anterior cerebral artery aneurysms, two middle cerebral artery aneurysms, and two posterior circulation aneurysms (Fig. 7). The compatibility of the microcatheters shaped according to the skeletalized data shape was validated if the microcatheter tip was positioned into the aneurysm. Aneurysm catheterizations, by using microcatheters shift or by using microwires, were classified as success, and if no catheterization was achieved, they were classified as failure. The number of attempts for positioning the microcatheter into the aneurysms in the 3D hollow models was analyzed.
RESULTS
In all 10 hollow models, the positioning of the microcatheter into the aneurysm was successful with one or two attempts. However, the aneurysmal hollow models were made from polymer (resin) using a 3D printer and a computer application program. Since the main purpose of the application program was not to fabricate the 3D hollow models, it was not perfect for the fabrication of the 3D hallow models. Thus, the luminal surfaces of the hollow models were rough. Unlike normal blood vessels, the 3D hollow models are hard, have no elasticity, and are very short. These factors made it difficult to advance or position the microcatheters into the aneurysms or even to maintain them once they are in. Therefore, it is difficult to determine whether the actual number of attempts used for microcatheters positioning into the aneurysms was one or two, although we are confident that we have succeeded in positioning of the microcatheters into the aneurysm.
DISCUSSION
The importance of shaping microcatheters for use in endovascular coil embolization of cerebral aneurysms has been discussed by many researchers [5-8]. The operator who intends to perform endovascular coil embolization of aneurysms meticulously examines image data derived from brain computer tomography angiography (CTA), brain magnetic resonance angiography (MRA), and/or CCA. This is to estimate the path of microcatheters by conceived 3D geometric structures of blood vessels and aneurysms in the head. Although there are many discussions and educations about this procedure, it is still not easy and remains a very important and essential step. This process is naturally limited by the skills and experiences of the physicians in charge, but even so, an experienced physician does not always get an ideal model of microcatheter, so often trial and error is made. These trial and error can lead to procedure time lengthening and microcatheter damage, causing procedural complications such as cerebral infarction and cerebral hemorrhage, and poorer quality of patient care.
The need for patient-customized medical devices is growing. A few patents filed in the United States in 2008 and 2019 suggest the concept of a very ideal computer simulation [1,2]. However, with the current level of technology, it remains difficult to implement patient-customized medical devices using a computer simulation, at least it seems to be insufficient to be popularized. This study was designed to help doctors treat patients using patient-customized microcatheters made by current techniques and equipment. Compared to US patents in 2008, the process of obtaining data from brain CTA, brain MRA or CCA is similar to that in this study [1]. However, the US patents in 2002 attempted to convert 2D data of individual patients into 3D data and simulate these data in a computer, which is very ideal but difficult to generalize. In contrast, our study aimed to find an ideal microcatheter shape that can be used in practice by adjusting the size of the skeletalized shape of the blood vessel regions of interest.
In 2013, Kono et al., performed preoperative simulation in patients with an unruptured ACoA aneurysm using a silicon model of cerebral aneurysm [5]. Based on this simulation, they designed an endovascular treatment strategy for the aneurysm and performed a balloon-assisted coil embolization. They reported that simulations are feasible and can help design treatment strategies, particularly in the navigation of a microcatheter by planning the shape of its tip to help safely manipulate the endovascular devices before the actual treatment. Of course, the silicone model was not changed by the insertion of microcatheters or microwires, so it was said that there was a difference from the actual one. Nevertheless, they reported that the method of making the patient’s vessel silicon model was relatively simple and easy; therefore, simulations with the silicon model could be helpful. The simulation method using the silicon model is more feasible than the previous computer simulation method. However, it is not easy to generalize its use because it takes a lot of time, money, and effort to make the silicon model, and to simulate endovascular coiling with it.
In 2015, Namba et al. [8] used a 3D printer to determine the optimal microcatheter shape before endovascular coil embolization, and 10 patients underwent aneurysmal coil embolization using the shaped microcatheter. They made an aneurysm model using a 3D printer, and made an aneurysmal hollow silicon model using the aneurysm model and molding silicon. The microcatheter shaping mandrels were shaped along the outer curve of the vessels by operators, and the microcatheters were shaped using the mandrel. The compatibility of the microcatheter shape was validated by performing simulations using the shaped microcatheters and the aneurysmal hollow silicon model. In the actual procedures in patients, the microcatheter was shaped using the already-made mandrels, and they were used for endovascular coil embolization. As a result, the microcatheters were successfully navigated into the aneurysm in all 10 patients and were stably placed in the aneurysms in nine patients. Based on these results, they reported that the model using a 3D printer could determine the shape of the microcatheters optimized for the patient in advance. This simulation method using the 3D aneurysm model and silicon hollow model is feasible, too. However, because it takes a lot of time, money, and effort to run this simulation, it is not easy to use it popularly.
In 2016, Ishibashi et al., conducted a similar study in 26 patients (27 aneurysms) [4]. The process of making aneurysmal models using 3D imaging data was the same as in the previous study, but in the subsequent process, they looked at the 3D model and shaped the mandrel and then shaped the microcatheter. That is, they’ve just changed the traditional process of looking at 3D images on computer monitors and shaping mandrels and microcatheters into the process of shaping while looking at actual 3D models. In the results, the reshaping of microcatheters was required in about 19% of the cases, and repositioning was required, due to kickback of microcatheters, in about 29%. Based on these results, they reported that this shaping method might facilitate easier and safer procedures in coil embolization of intracranial aneurysms. This shaping method using only the 3D aneurysm model is more feasible when compared the other methods in previously mentioned studies. However, this method still depends heavily on the skill and experience of the operator, thereby causing accuracy and stability issues.
In 2016, Ohshima et al., reported more popularly feasible methods that utilized the shaping method of microcatheters using body temperature [9]. They advanced and pressed the microcatheters against the wall of the parent artery and placed the tip at the point of about 5 mm distal to the target aneurysmal neck. About three minutes later, the microcatheter, which was partially shaped according to the 3D structure of the blood vessel, was pulled out of the body. More steaming was added to the microcatheter, and the embolization was performed in five patients using the shaped microcatheters. In all five patients, the microcatheter was navigated into the aneurysm without the help of microwires, and stable embolization was performed. Based on these results, they reported that this method was very effective. In 2017, a similar study was conducted on 15 patients by Yamaguchi et al. [10]. They reported that this method may be a simple and effective way to shape the microcatheter. In my opinion, this method is very feasible and is costand time-effective, although it does not seem to have a major difference from the existing method (using just 3D images on computer by the operator) in terms of accuracy and stability. That is, it seems that this method still depends on the skill and experience of the operator.
In our study, we hypothesized that the skeletalization data of the blood vessels and aneurysm can be obtained through simplification and quantification based on the already obtained 3D image data, and the optimal model of microcatheters can be obtained by adjusting the 3D size of the skeletalized data (usually oversizing). In other words, instead of simulation, the size of the skeletalization data is adjusted to fit the vascular conditions of each patient to create an optimal shape of the microcatheter that can be actually used. This study described a method to perform patient-customized microcatheter shaping using current technology and common equipment. It is intended to make the process of patient-customized microcatheter shaping in a short time with the equipment popularized by each hospital’s practitioner and to use it for the aneurysmal coiling procedures. Therefore, if the patient-customized microcatheter shaping model is implemented in a short time using a computer application program and the model is printed out through a 3D printer, the microcatheter shaping can be easily performed, the reduction of procedure time and the prevention of damage to the microcatheter can be achieved. This will eventually lead to an overall increase in the quality of patient care and reduce medical costs.
Our study showed that the positioning of the microcatheter into the aneurysms was successful in all 10 cases and the number of attempts was not so much. However, the accuracy of the number of attempts is unreliable because the aneurysmal hollow model made from polymer (resin) had rough luminal surface, zero elasticity, and short length. Nevertheless, the accuracy of the procedure is reliable because the positioning of microcatheter into the aneurysms was successful in all cases. In the future, the accuracy and stability of our method can be verified by using aneurysmal coil embolization in actual patients.
CONCLUSIONS
For endovascular coil embolization of cerebral aneurysms, the shape of microcatheters used is very important for procedure success, and for achieving a shorter procedure duration. When shaping microcatheters, it may be useful to use the central line structures with some expansions customized for patient-specific vessels using a computer application program and a 3D printer. In the future, it may be necessary to apply this technique to actual patients.
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