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International Journal of Computer Assisted Radiology and Surgery

Erschienen in:

09.07.2020 | 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

verfasst von: Jiewen Geng, Peng Hu, Zhe Ji, Chuanjie Li, Li Li, Jie Shen, Xue Feng, Wenzhi Wang, Guangming Yang, Jianjun Li, Hongqi Zhang

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 10/2020

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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.

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Titel: Accuracy and reliability of computer-assisted semi-automated morphological analysis of intracranial aneurysms: an experimental study with digital phantoms and clinical aneurysm cases
verfasst von: Jiewen Geng
Peng Hu
Zhe Ji
Chuanjie Li
Li Li
Jie Shen
Xue Feng
Wenzhi Wang
Guangming Yang
Jianjun Li
Hongqi Zhang
Publikationsdatum: 09.07.2020
Verlag: Springer International Publishing
Erschienen in: International Journal of Computer Assisted Radiology and Surgery / Ausgabe 10/2020
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI: https://doi.org/10.1007/s11548-020-02218-8

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Accuracy and reliability of computer-assisted semi-automated morphological analysis of intracranial aneurysms: an experimental study with digital phantoms and clinical aneurysm cases