当前位置： SCI文献检索 > MEDICAL ENGINEERING & PHYSICS期刊下所有文献 > Clinical relevance of augmented statistical shape model of the scapula in the glenoid region.

Clinical relevance of augmented statistical shape model of the scapula in the glenoid region.

Abstract：

OBJECTIVE:To illustrate (a) whether a statistical shape model (SSM) augmented with anatomical landmark set(s) performs better fitting and provides improved clinical relevance over non-augmented SSM and (b) which anatomical landmark set provides the best augmentation strategy for predicting the glenoid region of the scapula. METHODS:Scapula SSM was built using 27 dry bone CT scans and augmented with three anatomical landmark sets (16 landmarks each) resulting in three augmented SSMs (aSSMproposed, aSSMset1, aSSMset2). The non-augmented and three augmented SSMs were then used in a non-rigid registration (regression) algorithm to fit to six external scapular shapes. The prediction error by each type of SSM was evaluated in the glenoid region for the goodness of fit (mean error, root mean square error, Hausdorff distance and Dice similarity coefficient) and for four anatomical angles (critical shoulder angle, lateral acromion angle, glenoid inclination, glenopoar angle). RESULTS:Inter- and intra-observer reliability for landmark selection was moderate to excellent (ICC>0.74). Prediction error was significantly lower for SSMnon-augmented for mean (0.9 mm) and root mean square (1.15 mm) distances. Dice coefficient was significantly higher (0.78) for aSSMproposed compared to all other SSM types. Prediction error for anatomical angles was lowest using the aSSMproposed for critical shoulder angle (3.4°), glenoid inclination (2.6°), and lateral acromion angle (3.2°). CONCLUSION AND SIGNIFICANCE:The conventional SSM robustness criteria or better goodness of fit do not guarantee improved anatomical angle accuracy which may be crucial for certain clinical applications in pre-surgical planning. This study provides insights into how SSM augmented with region-specific anatomical landmarks can provide improved clinical relevance.

journal_name

Med Eng Phys

journal_title

Medical engineering & physics

authors

Salhi A,Burdin V,Brochard S,Mutsvangwa TE,Borotikar B

doi

10.1016/j.medengphy.2019.11.007

subject

Has Abstract

pub_date

2020-02-01 00:00:00

pages

88-94

eissn

1350-4533

issn

1873-4030

pii

S1350-4533(19)30247-4

journal_volume

pub_type

杂志文章

在线工具

Clinical relevance of augmented statistical shape model of the scapula in the glenoid region.