Procrustes analysis of a shape of pediatric supracondylar humerus fractures

被引:0
作者
Tomaszewski, Ryszard [1 ,2 ]
Dajka, Jerzy [3 ,4 ]
机构
[1] Med Univ Silesia, Dept Pediat Orthoped & Traumatol, PL-40752 Katowice, Poland
[2] Univ Silesia Katowice, Inst Biomed Engn, PL-40007 Katowice, Poland
[3] Univ Silesia Katowice, Inst Phys, PL-40007 Katowice, Poland
[4] Univ Silesia Katowice, Prof Tadeusz Widla Interdisciplinary Res Ctr Foren, Katowice, Poland
关键词
Supracondylar humeral fractures; Children; Statistical image analysis; Procrustes method; STATISTICAL-ANALYSIS; REDUCTION;
D O I
10.1038/s41598-024-64347-3
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Shape of supracondylar fracture of the humeral of pediatric patients is analysed with Procrustes method. XR-images of fractures are considered both in anterio-posterior (AP) view and in a lateral (L) view. Applying Procrustes method for both views mean images are constructed and compared. Variability of shapes is quantified with a shape principal component analysis. Possibility of predictions of typical shape of humeral fracture and its variability using statistical shape analysis offers additional information on injury characteristics important in preoperative planning. Non-parametric tests (permutational and bootstrap) do not indicate statistical difference between Procrustes mean shapes in anterio-posterior and lateral projections. It is shown, however, that AP and L shapes of humeral fractures differ in their variability quantified by shape principal components.
引用
收藏
页数:9
相关论文
共 31 条
[1]   Review article: Paediatric supracondylar humeral fractures: Emergency assessment and management [J].
Allen, Stephen R. ;
Hang, Jacqueline R. ;
Hau, Raphael C. .
EMERGENCY MEDICINE AUSTRALASIA, 2010, 22 (05) :418-426
[2]  
[Anonymous], 2004, Mixed Models., DOI [10.1002/0471728438, DOI 10.1002/0471728438]
[3]  
Azhari H., From Signals to Image: A Basic Course on Medical Imaging for Engineers, P2020, DOI DOI 10.1007/978-3-030-35326-1
[4]   Statistical Shape Model-Based Femur Kinematics From Biplane Fluoroscopy [J].
Baka, N. ;
de Bruijne, M. ;
van Walsum, T. ;
Kaptein, B. L. ;
Giphart, J. E. ;
Schaap, M. ;
Niessen, W. J. ;
Lelieveldt, B. P. F. .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2012, 31 (08) :1573-1583
[5]   Shape and the information in medical images: A decade of the morphometric synthesis [J].
Bookstein, FL .
COMPUTER VISION AND IMAGE UNDERSTANDING, 1997, 66 (02) :97-118
[6]   Closed reduction and percutaneous fixation of displaced paediatric supracondylar fractures of the elbow [J].
Crombie, A ;
Duncan, R .
CURRENT ORTHOPAEDICS, 2004, 18 (02) :147-153
[7]  
Demidenko E., 2020, ADV STAT APPL R
[8]  
Dryden I. L., 2016, Statistical shape analysis: with applications in R, V2nd ed., DOI [DOI 10.1002/9781119072492, 10.1002/9781119072492]
[9]  
Dryden I.L., 1993, Sankhya Indian Journal of Statistics Series A, V55, P460
[10]   Procrustes shape analysis of planar point subsets [J].
Dryden, IL ;
Faghihi, MR ;
Taylor, CC .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-METHODOLOGICAL, 1997, 59 (02) :353-374