Rupture Risk Assessment for Anterior Communicating Artery Aneurysms Using Decision Tree Modeling

被引:3
作者
Liu, Jinjin [1 ,2 ]
Xing, Haixia [3 ]
Chen, Yongchun [1 ,2 ]
Lin, Boli [1 ]
Zhou, Jiafeng [1 ]
Wan, Jieqing [2 ]
Pan, Yaohua [2 ]
Yang, Yunjun [1 ,4 ]
Zhao, Bing [2 ]
机构
[1] Wenzhou Med Univ, Affiliated Hosp 1, Dept Radiol, Wenzhou, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Med, Renji Hosp, Dept Neurosurg, Shanghai, Peoples R China
[3] Tongji Univ, Sch Med, Shanghai East Hosp, Dept Pathol, Shanghai, Peoples R China
[4] Wenzhou Med Univ, Affiliated Hosp 1, Dept Nucl Med, Wenzhou, Peoples R China
来源
FRONTIERS IN CARDIOVASCULAR MEDICINE | 2022年 / 9卷
关键词
intracranial aneurysm; anterior communicating artery aneurysm; rupture risk; decision tree model; machine learning; UNRUPTURED INTRACRANIAL ANEURYSMS; CEREBRAL ANEURYSMS; MORPHOLOGY PARAMETERS; PHASES SCORE; PREDICTION; SIZE;
D O I
10.3389/fcvm.2022.900647
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
BackgroundAlthough anterior communicating artery (ACoA) aneurysms have a higher risk of rupture than aneurysms in other locations, whether to treat unruptured ACoA aneurysms incidentally found is a dilemma because of treatment-related complications. Machine learning models have been widely used in the prediction of clinical medicine. In this study, we aimed to develop an easy-to-use decision tree model to assess the rupture risk of ACoA aneurysms. MethodsThis is a retrospective analysis of rupture risk for patients with ACoA aneurysms from two medical centers. Morphologic parameters of these aneurysms were measured and evaluated. Univariate analysis and multivariate logistic regression analysis were performed to investigate the risk factors of aneurysm rupture. A decision tree model was developed to assess the rupture risk of ACoA aneurysms based on significant risk factors. ResultsIn this study, 285 patients were included, among which 67 had unruptured aneurysms and 218 had ruptured aneurysms. Aneurysm irregularity and vessel angle were independent predictors of rupture of ACoA aneurysms. There were five features, including size ratio, aneurysm irregularity, flow angle, vessel angle, and aneurysm size, selected for decision tree modeling. The model provided a visual representation of a decision tree and achieved a good prediction performance with an area under the receiver operating characteristic curve of 0.864 in the training dataset and 0.787 in the test dataset. ConclusionThe decision tree model is a simple tool to assess the rupture risk of ACoA aneurysms and may be considered for treatment decision-making of unruptured intracranial aneurysms.
引用
收藏
页数:7
相关论文
共 33 条
[1]   Morphology of Ruptured and Unruptured Intracranial Aneurysms [J].
Abboud, Tammam ;
Rustom, Jihad ;
Bester, Maxim ;
Czorlich, Patrick ;
Vittorazzi, Eik ;
Pinnschmidt, Hans O. ;
Westphal, Manfred ;
Regelsberger, Jan .
WORLD NEUROSURGERY, 2017, 99 :610-617
[2]   ELAPSS score for prediction of risk of growth of unruptured intracranial aneurysms [J].
Backes, Daan ;
Rinkel, Gabriel J. E. ;
Greving, Jacoba P. ;
Velthuis, Birgitta K. ;
Murayama, Yuichi ;
Takao, Hiroyuki ;
Ishibashi, Toshihiro ;
Igase, Michiya ;
terbrugge, Karel G. ;
Agid, Ronit ;
Jaeaeskelaeinen, Juha E. ;
Lindgren, Antti E. ;
Koivisto, Timo ;
zu Fraunberg, Mikael von und ;
Matsubara, Shunji ;
Moroi, Junta ;
Wong, George K. C. ;
Abrigo, Jill M. ;
Igase, Keiji ;
Matsumoto, Katsumi ;
Wermer, Marieke J. H. ;
van Walderveen, Marianne A. A. ;
Algra, Ale ;
Vergouwen, Mervyn D. I. .
NEUROLOGY, 2017, 88 (17) :1600-1606
[3]   PHASES Score for Prediction of Intracranial Aneurysm Growth [J].
Backes, Daan ;
Vergouwen, Mervyn D. I. ;
Groenestege, Andreas T. Tiel ;
Bor, A. Stijntje E. ;
Velthuis, Birgitta K. ;
Greving, Jacoba P. ;
Algra, Ale ;
Wermer, Marieke J. H. ;
van Walderveen, Marianne A. A. ;
terBrugge, Karel G. ;
Agid, Ronit ;
Rinkel, Gabriel J. E. .
STROKE, 2015, 46 (05) :1221-1226
[4]   Aneurysm Inflow-Angle as a Discriminant for Rupture in Sidewall Cerebral Aneurysms Morphometric and Computational Fluid Dynamic Analysis [J].
Baharoglu, Merih I. ;
Schirmer, Clemens M. ;
Hoit, Daniel A. ;
Gao, Bu-Lang ;
Malek, Adel M. .
STROKE, 2010, 41 (07) :1423-1430
[5]   Genome-wide association study of intracranial aneurysms identifies 17 risk loci and genetic overlap with clinical risk factors [J].
Bakker, Mark K. ;
van der Spek, Rick A. A. ;
van Rheenen, Wouter ;
Morel, Sandrine ;
Bourcier, Romain ;
Hostettler, Isabel C. ;
Alg, Varinder S. ;
van Eijk, Kristel R. ;
Koido, Masaru ;
Akiyama, Masato ;
Terao, Chikashi ;
Matsuda, Koichi ;
Walters, Robin G. ;
Lin, Kuang ;
Li, Liming ;
Millwood, Iona Y. ;
Chen, Zhengming ;
Rouleau, Guy A. ;
Zhou, Sirui ;
Rannikmae, Kristiina ;
Sudlow, Cathie L. M. ;
Houlden, Henry ;
van den Berg, Leonard H. ;
Dina, Christian ;
Naggara, Olivier ;
Gentric, Jean-Christophe ;
Shotar, Eimad ;
Eugene, Francois ;
Desal, Hubert ;
Winsvold, Bendik S. ;
Borte, Sigrid ;
Johnsen, Marianne Bakke ;
Brumpton, Ben M. ;
Sandvei, Marie Softeland ;
Willer, Cristen J. ;
Hveem, Kristian ;
Zwart, John-Anker ;
Verschuren, W. M. Monique ;
Friedrich, Christoph M. ;
Hirsch, Sven ;
Schilling, Sabine ;
Dauvillier, Jerome ;
Martin, Olivier ;
Winsvold, Bendik S. ;
Winsvold, Bendik S. ;
Borte, Sigrid ;
Johnsen, Marianne Bakke ;
Brumpton, Ben M. ;
Sandvei, Marie Softeland ;
Willer, Cristen J. .
NATURE GENETICS, 2020, 52 (12) :1303-1313
[6]   Medical progress: Cerebral aneurysms [J].
Brisman, Jonathan L. ;
Song, Joon K. ;
Newell, David W. .
NEW ENGLAND JOURNAL OF MEDICINE, 2006, 355 (09) :928-939
[7]   Anterior Communicating Artery Aneurysm Morphology and the Risk of Rupture [J].
Cai, Wu ;
Hu, Chunhong ;
Gong, Jianping ;
Lan, Qing .
WORLD NEUROSURGERY, 2018, 109 :119-126
[8]  
Charbuty B., 2021, J APPL SCI TECHNOL T, V2, P20, DOI DOI 10.38094/JASTT20165
[9]   Morphological risk model assessing anterior communicating artery aneurysm rupture: Development and validation [J].
Chen, Yongchun ;
Xing, Haixia ;
Lin, Boli ;
Zhou, Jiafeng ;
Ding, Shenghao ;
Wan, Jieqing ;
Yang, Yunjun ;
Pan, Yaohua ;
Zhao, Bing .
CLINICAL NEUROLOGY AND NEUROSURGERY, 2020, 197
[10]   Morphology parameters for intracranial aneurysm rupture risk assessment [J].
Dhar, Sujan ;
Tremmel, Markus ;
Mocco, J. ;
Kim, Minsuok ;
Yamamoto, Junichi ;
Siddiqui, Adnan H. ;
Hopkins, L. Nelson ;
Meng, Hui ;
Derdeyn, Colin ;
Dacey, Ralph G., Jr. ;
Macdonald, R. Loch ;
Carter, Bob ;
Fernandez-Miranda, Juan C. ;
Dumont, Aaron S. ;
Kassell, Neal F. .
NEUROSURGERY, 2008, 63 (02) :185-197