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

Ganz, 2003, Femoroacetabular impingement: a cause for osteoarthritis of the hip, Clin. Orthop. Relat. Res., 112, 10.1097/01.blo.0000096804.78689.c2 Lerch, 2017, One-third of hips after periacetabular osteotomy survive 30 years with good clinical results, No progression of arthritis, or conversion to THA, Clin. Orthop. Relat. Res., 475, 1154, 10.1007/s11999-016-5169-5 Tannast, 2007, Femoroacetabular impingement: radiographic diagnosis--what the radiologist should know, AJR Am. J. Roentgenol., 188, 1540, 10.2214/AJR.06.0921 Dessouky, 2019, Cam-type femoroacetabular impingement-correlations between alpha angle versus volumetric measurements and surgical findings, Eur. Radiol., 29, 3431, 10.1007/s00330-018-5968-z Reiman, 2015, Diagnostic accuracy of clinical tests for the diagnosis of hip femoroacetabular impingement/labral tear: a systematic review with meta-analysis, Br. J. Sports Med., 49, 811, 10.1136/bjsports-2014-094302 Reiman, 2017, Diagnostic accuracy of imaging modalities and injection techniques for the diagnosis of femoroacetabular Impingement/Labral tear: a systematic review with meta-analysis, Am. J. Sports Med., 45, 2665, 10.1177/0363546516686960 Dudda, 2009, Do normal radiographs exclude asphericity of the femoral head-neck junction?, Clin. Orthop. Relat. Res., 467, 651, 10.1007/s11999-008-0617-5 Liu, 2014, Computer assisted planning and navigation of periacetabular osteotomy with range of motion optimization, Med. Image Comput. Comput. Assist. Interv., 17, 643 Liu, 2015, Biomechanical validation of computer assisted planning of periacetabular osteotomy: a preliminary study based on finite element analysis, Med. Eng. Phys., 37, 1169, 10.1016/j.medengphy.2015.09.002 Neumann, 2019, Validation of scoring hip osteoarthritis with MRI (SHOMRI) scores using hip arthroscopy as a standard of reference, Eur. Radiol., 29, 578, 10.1007/s00330-018-5623-8 Büchler, 2013, Arthroscopic versus open cam resection in the treatment of femoroacetabular impingement, Arthroscopy, 29, 653, 10.1016/j.arthro.2012.12.009 Lall, 2019, Does femoral retroversion adversely affect outcomes after hip arthroscopy for femoroacetabular impingement syndrome? A midterm analysis, Arthroscopy, 35, 3035, 10.1016/j.arthro.2019.03.046 Griffin, 2018, FASHIoN Study Group, Hip arthroscopy versus best conservative care for the treatment of femoroacetabular impingement syndrome (UK FASHIoN): a multicentre randomised controlled trial, Lancet, 391, 2225, 10.1016/S0140-6736(18)31202-9 Wylie, 2018, Computed tomography scans in patients with young adult hip pain carry a lifetime risk of malignancy, Arthroscopy, 34, 155, 10.1016/j.arthro.2017.08.235 Damopoulos, 2019, Segmentation of the proximal femur in radial MR scans using a random forest classifier and deformable model registration, Int. J. Comput. Assist. Radiol. Surg., 10.1007/s11548-018-1899-z Gilles, 2010, Musculoskeletal MRI segmentation using multi-resolution simplex meshes with medial representations, Med. Image Anal., 14, 291, 10.1016/j.media.2010.01.006 Dandachli, 2008, Analysis of cover of the femoral head in normal and dysplastic hips: new CT-based technique, J. Bone Joint Surg. Br., 90, 1428, 10.1302/0301-620X.90B11.20073 Hipp, 1999, Planning acetabular redirection osteotomies based on joint contact pressures, Clin. Orthop. Relat. Res., 134, 10.1097/00003086-199907000-00018 Millis, 1992, Osteotomies of the hip in the prevention and treatment of osteoarthritis, Instr. Course Lect., 41, 145 Zheng, 2007, Hip2Norm: an object-oriented cross-platform program for 3D analysis of hip joint morphology using 2D pelvic radiographs, Comput. Methods Programs Biomed., 87, 36, 10.1016/j.cmpb.2007.02.010 Mieno, 1992, Three-dimensional evaluation of acetabular coverage of the femoral head in normal hip joints and hip joints with acetabular dysplasia, Seikeigeka Gakkai Zasshi, 66, 11 Dandachli, 2013, The influence of pelvic tilt on acetabular orientation and cover: a three-dimensional computerised tomography analysis, Hip Int., 23, 87, 10.5301/HIP.2013.10715 Deniz, 2018, Segmentation of the proximal femur from MR images using deep convolutional neural networks, Sci. Rep., 8, 10.1038/s41598-018-34817-6 Zeng, 2017, 3D U-net with multi-level deep supervision: fully automatic segmentation of proximal femur in 3D MR images Zeng, 2018, latent3DU-net: multi-level latent shape space constrained 3D U-net for automatic segmentation of the proximal femur from radial MRI of the hip, 188 Cheng, 2019, Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs, Eur. Radiol., 29, 5469, 10.1007/s00330-019-06167-y Lerch, 2018, What is the prevalence of cam deformity after prophylactic pinning of the contralateral asymptomatic hip in unilateral slipped capital femoral epiphysis? A 10-year minimum followup study, Clin. Orthop. Relat. Res. Lerch, 2019, Femoroacetabular impingement patients with decreased femoral version have different impingement locations and intra- and extraarticular anterior subspine FAI on 3D-CT-Based impingement simulation: implications for hip arthroscopy, Am. J. Sports Med., 10.1177/0363546519873666 Schmaranzer, 2019, Differences in femoral torsion among various measurement methods increase in hips with excessive femoral torsion, Clin. Orthop. Relat. Res., 10.1097/CORR.0000000000000610 Lerch, 2018, Prevalence of femoral and acetabular version abnormalities in patients with symptomatic hip disease: a controlled study of 538 hips, Am. J. Sports Med., 46, 122, 10.1177/0363546517726983 Tannast, 2015, What are the radiographic reference values for acetabular under- and overcoverage?, Clin. Orthop. Relat. Res., 473, 1234, 10.1007/s11999-014-4038-3 Nötzli, 2002, The contour of the femoral head-neck junction as a predictor for the risk of anterior impingement, J. Bone Joint Surg. Br., 84, 556, 10.1302/0301-620X.84B4.0840556 Sutter, 2012, How useful is the alpha angle for discriminating between symptomatic patients with cam-type femoroacetabular impingement and asymptomatic volunteers?, Radiology, 264, 514, 10.1148/radiol.12112479 Bensler, 2019, Pincer-type MRI morphology seen in over a third of asymptomatic healthy volunteers without femoroacetabular impingement, J. Magn. Reson. Imaging, 49, 1296, 10.1002/jmri.26297 Pfirrmann, 2006, Cam and pincer femoroacetabular impingement: characteristic MR arthrographic findings in 50 patients, Radiology, 240, 778, 10.1148/radiol.2403050767 Pfirrmann, 2017, Hip imaging, Semin. Musculoskelet. Radiol., 21, 485, 10.1055/s-0037-1606142 Tong, 2007, Cam and pincer impingements rarely occur in isolation, Radiology, 244, 625, 10.1148/radiol.2442061498 Tönnis, 1999, Acetabular and femoral anteversion: relationship with osteoarthritis of the hip, J. Bone Joint Surg. Am., 81, 1747, 10.2106/00004623-199912000-00014 Hanke, 2017, What MRI findings predict failure 10 years after surgery for femoroacetabular impingement?, Clin. Orthop. Relat. Res., 475, 1192, 10.1007/s11999-016-5040-8 Albers, 2015, Twelve percent of hips with a primary cam deformity exhibit a slip-like morphology resembling sequelae of slipped capital femoral epiphysis, Clin. Orthop. Relat. Res., 473, 1212, 10.1007/s11999-014-4068-x Puls, 2010, The Equidistant Method - a novel hip joint simulation algorithm for detection of femoroacetabular impingement, Comput. Aided Surg., 15, 75, 10.3109/10929088.2010.530076 Pflugi, 2018, Augmented marker tracking for peri-acetabular osteotomy surgery, Int. J. Comput. Assist. Radiol. Surg., 13, 291, 10.1007/s11548-017-1690-6 Steppacher, 2014, Size and shape of the lunate surface in different types of pincer impingement: theoretical implications for surgical therapy, Osteoarthr. Cartil., 22, 951, 10.1016/j.joca.2014.05.010 Griffin, 2016, The Warwick Agreement on femoroacetabular impingement syndrome (FAI syndrome): an international consensus statement, Br. J. Sports Med., 50, 1169, 10.1136/bjsports-2016-096743 Çiçek, 2016, 3D U-net: learning dense volumetric segmentation from sparse annotation, 424 Chu, 2015, MASCG: multi-Atlas Segmentation Constrained Graph method for accurate segmentation of hip CT images, Med. Image Anal., 26, 173, 10.1016/j.media.2015.08.011 Chu, 2015, FACTS: fully automatic CT segmentation of a hip joint, Ann. Biomed. Eng., 43, 1247, 10.1007/s10439-014-1176-4 Chen, 2019, Three-dimensional feature-enhanced network for automatic femur segmentation, IEEE J. Biomed. Health Inform., 23, 243, 10.1109/JBHI.2017.2785389 Rathnayaka, 2012, Quantification of the accuracy of MRI generated 3D models of long bones compared to CT generated 3D models, Med. Eng. Phys., 34, 357, 10.1016/j.medengphy.2011.07.027 Van den Broeck, 2014, Segmentation accuracy of long bones, Med. Eng. Phys., 36, 949, 10.1016/j.medengphy.2014.03.016 Higashihira, 2019, Comparison between 3-Dimensional multiple-echo recombined gradient echo magnetic resonance imaging and arthroscopic findings for the evaluation of acetabular labrum tear, Arthroscopy, 35, 2857, 10.1016/j.arthro.2019.05.006 Gilles, 2005, Bone motion analysis from dynamic MRI: acquisition and tracking, Acad. Radiol., 12, 1285, 10.1016/j.acra.2005.08.006 Fernquest, 2017, Osseous impingement occurs early in flexion in cam-type femoroacetabular impingement: a 4D CT model, Bone Joint J., 99–B, 41, 10.1302/0301-620X.99B4.BJJ-2016-1274.R1 Verma, 2018, Application of three dimensional printing in surgery for cam type of femoro-acetabular impingement, J. Clin. Orthop. Trauma, 9, 241, 10.1016/j.jcot.2018.07.011 Childs, 2018, Patient-specific 3-Dimensional modeling and its use for preoperative counseling of patients undergoing hip arthroscopy, Orthop. J. Sports Med., 6, 10.1177/2325967118794645 Wong, 2018, Preoperative use of a 3D printed model for femoroacetabular impingement surgery and its effect on planned osteoplasty, AJR Am. J. Roentgenol., 211, W116, 10.2214/AJR.17.19400 Ziebarth, 2017, High survivorship and little osteoarthritis at 10-year followup in SCFE patients treated with a modified dunn procedure, Clin. Orthop. Relat. Res., 10.1007/s11999-017-5252-6 Lerch, 2019, Am. J. Sports Med., 47, 2966, 10.1177/0363546519869681 Zeng, 2019, Holistic decomposition convolution for effective semantic segmentation of medical volume images, Med. Image Anal., 57, 149, 10.1016/j.media.2019.07.003