Accuracy and reliability of computer-assisted semi-automated morphological analysis of intracranial aneurysms: an experi
- PDF / 1,490,827 Bytes
- 11 Pages / 595.276 x 790.866 pts Page_size
- 61 Downloads / 175 Views
ORIGINAL ARTICLE
Accuracy and reliability of computer‑assisted semi‑automated morphological analysis of intracranial aneurysms: an experimental study with digital phantoms and clinical aneurysm cases Jiewen Geng1 · Peng Hu1 · Zhe Ji1 · Chuanjie Li2 · Li Li3 · Jie Shen4 · Xue Feng5 · Wenzhi Wang6 · Guangming Yang6 · Jianjun Li6 · Hongqi Zhang1 Received: 17 February 2020 / Accepted: 15 June 2020 © CARS 2020
Abstract Purpose Morphological parameters are very important for predicting aneurysm rupture. However, due to geometric radiographic distortion and plane/angle selection bias, the traditional manual measurements (MM) of aneurysm morphology are inaccurate and suffer from severe variability. Our study is to evaluate the accuracy and reliability of computer-assisted semi-automated measurement (CASAM) of intracranial aneurysms, which is a novel technique in aneurysm measurement. Methods An in-house software for CASAM was developed. Classical morphology indices including aneurysm diameter, neck size, height, width, volume, inflow angle, and aspect ratio were measured. To validate the accuracy and robustness of the semi-automated measurements, 20 digital intracranial aneurysm phantoms and 27 clinical aneurysms with different locations and sizes were measured using MM or CASAM. Results In the phantom study, although the inter-observer variability of both the MM and CASAM was very low, the manual measurements had higher errors (1.7–19.1%), while the CASAM yielded more accurate results (errors of 1.1–2.5%). The consistency test indicated that the CASAM results were highly consistent with the actual values (concordance correlation coefficient = 0.993). In the clinical study, CASAM showed better intraclass correlation coefficient values compared with MM. The inflow angle had low consistency in both groups. Conclusions We successfully developed a computer-assisted method to semi-automatically measure the morphological parameters of aneurysm. According to our study, CASAM of aneurysm morphological parameters is a more precise and reliable way than MM to obtain accurate aneurysm morphological parameters. This method is worthy of further studies to promote its clinical use. Keywords Intracranial aneurysm · Rupture · Angiography · Digital subtraction · Computer assisted
Jiewen Geng and Peng Hu have contributed equally to this work. * Hongqi Zhang [email protected] 1
Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
2
Department of Neurosurgery, The Hospital of Shunyi District Beijing, Beijing, China
3
Department of Neurosurgery, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, Hei Longjiang Province, China
4
Department of Neurosurgery, The Second Affiliated Hospital of Anhui Medical University, He Fei, Anhui Province, China
5
Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA
6
Department of R&D, UnionStrong (Beijing) Technology Co. Ltd, Beijing, China
13
Vol.:(0123456789)
Introduction The prev
Data Loading...
