Deep learning-assisted diagnosis of femoral trochlear dysplasia based on magnetic resonance imaging measurements

doi:10.12998/wjcc.v11.i7.1477

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 11, Issue 7

This Article

Academic Content and Language Evaluation of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Number of Hits and Downloads for This Article

Total Article Views (3164)

All Articles published online

The chart showing PDF series, WORD series, HTML series, Figures (1-2) series, Tables (1-7) series.

Item

Count

PDF

146

WORD

HTML

1668

Figures (1-2)

429

Tables (1-7)

369

Sum=2653

Publishing Process of This Article

The chart showing Browse series, Download series.

Item

Count

Browse

126

Download

385

Sum=511

Mar 6, 2023 (publication date) through Feb 18, 2025

Times Cited of This Article

Times Cited (1)

Journal Information of This Article

Publication Name

World Journal of Clinical Cases

ISSN

2307-8960

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Retrospective Study

World J Clin Cases. Mar 6, 2023; 11(7): 1477-1487
Published online Mar 6, 2023. doi: 10.12998/wjcc.v11.i7.1477

Table 4 Intergroup comparison of the artificial intelligence model and senior doctors

Obvervational index	Artificial intelligence model	Senior doctor	P value
Trochlear depth (mm)	4.41 ± 1.85	4.34 ± 2.10	0.424¹
Asymmetry of the facet length	0.57 ± 0.17	0.60 ± 0.18	0.024¹
Lateral trochlear inclination (°)	16.31 ± 5.92	16.00 ± 6.02	0.235¹

¹Student's t test.

Citation: Xu SM, Dong D, Li W, Bai T, Zhu MZ, Gu GS. Deep learning-assisted diagnosis of femoral trochlear dysplasia based on magnetic resonance imaging measurements. World J Clin Cases 2023; 11(7): 1477-1487
URL: https://www.wjgnet.com/2307-8960/full/v11/i7/1477.htm
DOI: https://dx.doi.org/10.12998/wjcc.v11.i7.1477