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

doi:10.12998/wjcc.v11.i7.1477

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World Journal of Clinical Cases

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2307-8960

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

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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