Unknown

Dataset Information

0

MRI-based 3D models of the hip joint enables radiation-free computer-assisted planning of periacetabular osteotomy for treatment of hip dysplasia using deep learning for automatic segmentation.


ABSTRACT:

Introduction

Both Hip Dysplasia(DDH) and Femoro-acetabular-Impingement(FAI) are complex three-dimensional hip pathologies causing hip pain and osteoarthritis in young patients. 3D-MRI-based models were used for radiation-free computer-assisted surgical planning. Automatic segmentation of MRI-based 3D-models are preferred because manual segmentation is time-consuming.To investigate(1) the difference and(2) the correlation for femoral head coverage(FHC) between automatic MR-based and manual CT-based 3D-models and (3) feasibility of preoperative planning in symptomatic patients with hip diseases.

Methods

We performed an IRB-approved comparative, retrospective study of 31 hips(26 symptomatic patients with hip dysplasia or FAI). 3D MRI sequences and CT scans of the hip were acquired. Preoperative MRI included axial-oblique T1 VIBE sequence(0.8?mm3 isovoxel) of the hip joint. Manual segmentation of MRI and CT scans were performed. Automatic segmentation of MRI-based 3D-models was performed using deep learning.

Results

(1)The difference between automatic and manual segmentation of MRI-based 3D hip joint models was below 1?mm(proximal femur 0.2?±?0.1?mm and acetabulum 0.3?±?0.5?mm). Dice coefficients of the proximal femur and the acetabulum were 98 % and 97 %, respectively. (2)The correlation for total FHC was excellent and significant(r?=?0.975, p?ConclusionsAutomatic segmentation of MRI-based 3D-models using deep learning is as accurate as CT-based 3D-models for patients with hip diseases of childbearing age. This allows radiation-free and patient-specific preoperative simulation and surgical planning of periacetabular osteotomy for patients with DDH.

SUBMITTER: Zeng G 

PROVIDER: S-EPMC7753932 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

altmetric image

Publications

MRI-based 3D models of the hip joint enables radiation-free computer-assisted planning of periacetabular osteotomy for treatment of hip dysplasia using deep learning for automatic segmentation.

Zeng Guodong G   Schmaranzer Florian F   Degonda Celia C   Gerber Nicolas N   Gerber Kate K   Tannast Moritz M   Burger Jürgen J   Siebenrock Klaus A KA   Zheng Guoyan G   Lerch Till D TD  

European journal of radiology open 20201218


<h4>Introduction</h4>Both Hip Dysplasia(DDH) and Femoro-acetabular-Impingement(FAI) are complex three-dimensional hip pathologies causing hip pain and osteoarthritis in young patients. 3D-MRI-based models were used for radiation-free computer-assisted surgical planning. Automatic segmentation of MRI-based 3D-models are preferred because manual segmentation is time-consuming.To investigate(1) the difference and(2) the correlation for femoral head coverage(FHC) between automatic MR-based and manua  ...[more]

Similar Datasets

| S-EPMC6930321 | biostudies-literature
| S-EPMC6262138 | biostudies-literature
| S-EPMC5063177 | biostudies-literature
| S-EPMC6928460 | biostudies-literature
| S-EPMC4259030 | biostudies-literature
| S-EPMC7520950 | biostudies-literature
| S-EPMC7433104 | biostudies-literature
| S-EPMC4017955 | biostudies-literature
| S-EPMC7695750 | biostudies-literature
| S-EPMC5799490 | biostudies-literature