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Asamoto T, Takegami Y, Sato Y, Takahara S, Yamamoto N, Inagaki N, Maki S, Saito M, Imagama S. External validation of a deep learning model for predicting bone mineral density on chest radiographs. Arch Osteoporos 2024; 19:15. [PMID: 38472499 DOI: 10.1007/s11657-024-01372-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Accepted: 02/27/2024] [Indexed: 03/14/2024]
Abstract
We developed a new model for predicting bone mineral density on chest radiographs and externally validated it using images captured at facilities other than the development environment. The model performed well and showed potential for clinical use. PURPOSE In this study, we performed external validation (EV) of a developed deep learning model for predicting bone mineral density (BMD) of femoral neck on chest radiographs to verify the usefulness of this model in clinical practice. METHODS This study included patients who visited any of the collaborating facilities from 2010 to 2020 and underwent chest radiography and dual-energy X-ray absorptiometry (DXA) at the femoral neck in the year before and after their visit. A total of 50,114 chest radiographs were obtained, and BMD was measured using DXA. We developed the model with 47,150 images from 17 facilities and performed EV with 2914 images from three other facilities (EV dataset). We trained the deep learning model via ensemble learning based on chest radiographs, age, and sex to predict BMD using regression. The outcomes were the correlation of the predicted BMD and measured BMD with diagnoses of osteoporosis and osteopenia using the T-score estimated from the predicted BMD. RESULTS The mean BMD was 0.64±0.14 g/cm2 in the EV dataset. The BMD predicted by the model averaged 0.61±0.08 g/cm2, with a correlation coefficient of 0.68 (p<0.01) when compared with the BMD measured using DXA. The accuracy, sensitivity, and specificity of the model were 79.0%, 96.6%, and 34.1% for T-score < -1 and 79.7%, 77.1%, and 80.4% for T-score ≤ -2.5, respectively. CONCLUSION Our model, which was externally validated using data obtained at facilities other than the development environment, predicted BMD of femoral neck on chest radiographs. The model performed well and showed potential for clinical use.
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Affiliation(s)
- Takamune Asamoto
- Department of Orthopaedic Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, Aichi, 466-8560, Japan
| | - Yasuhiko Takegami
- Department of Orthopaedic Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, Aichi, 466-8560, Japan.
| | - Yoichi Sato
- Department of Orthopaedic Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, Aichi, 466-8560, Japan
| | - Shunsuke Takahara
- Department of Orthopaedic Surgery, Hyogo Prefectural Kakogawa Medical Center, Kakogawa, Hyogo, Japan
| | - Norio Yamamoto
- Department of Orthopaedic Surgery, Miyamoto Orthopaedic Hospital, Okayama, Japan
| | - Naoya Inagaki
- Department of Orthopaedic Surgery, The Jikei University Kashiwa Hospital, Chiba, Japan
| | - Satoshi Maki
- Department of Orthopaedic Surgery, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Mitsuru Saito
- Department of Orthopaedic Surgery, Jikei University School of Medicine, Tokyo, Japan
| | - Shiro Imagama
- Department of Orthopaedic Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, Aichi, 466-8560, Japan
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Delsmann MM, Schmidt C, Mühlenfeld M, Jandl NM, Boese CK, Beil FT, Rolvien T, Ries C. Prevalence of osteoporosis and osteopenia in elderly patients scheduled for total knee arthroplasty. Arch Orthop Trauma Surg 2022; 142:3957-3964. [PMID: 34919186 PMCID: PMC9596583 DOI: 10.1007/s00402-021-04297-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Accepted: 11/30/2021] [Indexed: 12/18/2022]
Abstract
INTRODUCTION Osteoporosis is a common comorbidity in elderly patients with osteoarthritis (OA) and may increase perioperative complications in orthopedic surgery (e.g., component migration, periprosthetic fractures). As there is no investigation of bone mineral density (BMD) in elderly patients prior to total knee arthroplasty (TKA) in Europe, we investigated this issue with a particular focus on a potential treatment gap. MATERIALS AND METHODS We assessed the BMD by dual-energy X-ray absorptiometry (DXA) in 109 consecutive elderly patients (age ≥ 70 years) scheduled for TKA. In addition to a detailed assessment of osteoporosis and osteopenia, the influence of clinical risk factors and radiological OA severity on BMD was evaluated using group comparisons and linear regression models. In addition, we analyzed differences in BMD between patients scheduled for TKA vs. total hip arthroplasty (THA). RESULTS Of the included 109 patients, 19 patients (17.4%) were diagnosed with osteoporosis and 50 (45.9%) with osteopenia. In the osteoporotic patients, a clinically relevant underdiagnosis concomitant with a serious treatment gap was observed in 95.0% of the patients. Body mass index, OA grade, and glucocorticoid use were identified as independent factors associated with BMD. No differences in BMD were found between the patients scheduled for TKA vs. THA. CONCLUSIONS Considering the high prevalence of osteoporosis and osteopenia in elderly patients, DXA screening should be recommended for patients ≥ 70 years indicated for TKA.
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Affiliation(s)
- Maximilian M Delsmann
- Department of Trauma and Orthopaedic Surgery, Division of Orthopaedics, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany
- Department of Osteology and Biomechanics, University Medical Center Hamburg-Eppendorf, Lottestraße 59, 22529, Hamburg, Germany
| | - Constantin Schmidt
- Department of Trauma and Orthopaedic Surgery, Division of Orthopaedics, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany
- Department of Osteology and Biomechanics, University Medical Center Hamburg-Eppendorf, Lottestraße 59, 22529, Hamburg, Germany
| | - Moritz Mühlenfeld
- Department of Trauma and Orthopaedic Surgery, Division of Orthopaedics, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany
| | - Nico Maximilian Jandl
- Department of Trauma and Orthopaedic Surgery, Division of Orthopaedics, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany
| | - Christoph Kolja Boese
- Department of Trauma and Orthopaedic Surgery, Division of Orthopaedics, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany
| | - Frank Timo Beil
- Department of Trauma and Orthopaedic Surgery, Division of Orthopaedics, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany
| | - Tim Rolvien
- Department of Trauma and Orthopaedic Surgery, Division of Orthopaedics, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany.
| | - Christian Ries
- Department of Trauma and Orthopaedic Surgery, Division of Orthopaedics, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany.
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Surakka I, Fritsche LG, Zhou W, Backman J, Kosmicki JA, Lu H, Brumpton B, Nielsen JB, Gabrielsen ME, Skogholt AH, Wolford B, Graham SE, Chen YE, Lee S, Kang HM, Langhammer A, Forsmo S, Åsvold BO, Styrkarsdottir U, Holm H, Gudbjartsson D, Stefansson K, Baras A, Abecasis GR, Hveem K, Willer CJ. MEPE loss-of-function variant associates with decreased bone mineral density and increased fracture risk. Nat Commun 2020; 11:4093. [PMID: 33097703 PMCID: PMC7585430 DOI: 10.1038/s41467-020-17315-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Accepted: 05/26/2020] [Indexed: 01/28/2023] Open
Abstract
A major challenge in genetic association studies is that most associated variants fall in the non-coding part of the human genome. We searched for variants associated with bone mineral density (BMD) after enriching the discovery cohort for loss-of-function (LoF) mutations by sequencing a subset of the Nord-Trøndelag Health Study, followed by imputation in the remaining sample (N = 19,705), and identified ten known BMD loci. However, one previously unreported variant, LoF mutation in MEPE, p.(Lys70IlefsTer26, minor allele frequency [MAF] = 0.8%), was associated with decreased ultradistal forearm BMD (P-value = 2.1 × 10−18), and increased osteoporosis (P-value = 4.2 × 10−5) and fracture risk (P-value = 1.6 × 10−5). The MEPE LoF association with BMD and fractures was further evaluated in 279,435 UK (MAF = 0.05%, heel bone estimated BMD P-value = 1.2 × 10−16, any fracture P-value = 0.05) and 375,984 Icelandic samples (MAF = 0.03%, arm BMD P-value = 0.12, forearm fracture P-value = 0.005). Screening for the MEPE LoF mutations before adulthood could potentially prevent osteoporosis and fractures due to the lifelong effect on BMD observed in the study. A key implication for precision medicine is that high-impact functional variants missing from the publicly available cosmopolitan panels could be clinically more relevant than polygenic risk scores. Bone mineral density (BMD) is associated with fracture risk and many genetic loci with small effect sizes have been discovered by genome-wide association studies (GWAS). Here, the authors discover a large-effect rare loss-of-function genetic variant for BMD in the MEPE gene in the Norwegian HUNT study which replicates in the UK Biobank.
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Affiliation(s)
- Ida Surakka
- Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, 1500 E. Medical Center Dr., Ann Arbor, MI, 48109, USA
| | - Lars G Fritsche
- Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, 1500 E. Medical Center Dr., Ann Arbor, MI, 48109, USA.,Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, 1415 Washington Heights, 1700 SPH I, Ann Arbor, MI, 48109, USA
| | - Wei Zhou
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA, 02142, USA.,Department of Computational Medicine and Bioinformatics, University of Michigan, Palmer Commons, 100 Washtenaw Avenue, Ann Arbor, MI, 48109, USA
| | - Joshua Backman
- Regeneron Genetics Center, 777 Old Saw Mill River Road, Tarrytown, NY, 10591, USA
| | - Jack A Kosmicki
- Regeneron Genetics Center, 777 Old Saw Mill River Road, Tarrytown, NY, 10591, USA
| | - Haocheng Lu
- Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, 1500 E. Medical Center Dr., Ann Arbor, MI, 48109, USA
| | - Ben Brumpton
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, NO-7491, Trondheim, Norway.,MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.,Clinic of Thoracic and Occupational Medicine, St. Olavs Hospital, Trondheim University Hospital, Prinsesse Kristinas gate 3, 7030, Trondheim, Norway
| | - Jonas B Nielsen
- Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, 1500 E. Medical Center Dr., Ann Arbor, MI, 48109, USA
| | - Maiken E Gabrielsen
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, NO-7491, Trondheim, Norway
| | - Anne Heidi Skogholt
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, NO-7491, Trondheim, Norway
| | - Brooke Wolford
- Department of Computational Medicine and Bioinformatics, University of Michigan, Palmer Commons, 100 Washtenaw Avenue, Ann Arbor, MI, 48109, USA
| | - Sarah E Graham
- Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, 1500 E. Medical Center Dr., Ann Arbor, MI, 48109, USA
| | - Y Eugene Chen
- Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, 1500 E. Medical Center Dr., Ann Arbor, MI, 48109, USA
| | - Seunggeun Lee
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, 1415 Washington Heights, 1700 SPH I, Ann Arbor, MI, 48109, USA
| | - Hyun Min Kang
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, 1415 Washington Heights, 1700 SPH I, Ann Arbor, MI, 48109, USA
| | - Arnulf Langhammer
- HUNT Research Centre, Department of Public Health and Nursing, Norwegian University of Science and Technology, Postboks 8905, N-7491, Levanger, Norway
| | - Siri Forsmo
- HUNT Research Centre, Department of Public Health and Nursing, Norwegian University of Science and Technology, Postboks 8905, N-7491, Levanger, Norway
| | - Bjørn O Åsvold
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, NO-7491, Trondheim, Norway.,HUNT Research Centre, Department of Public Health and Nursing, Norwegian University of Science and Technology, Postboks 8905, N-7491, Levanger, Norway.,Department of Endocrinology, St. Olavs Hospital, Trondheim University Hospital, Prinsesse Kristinas gate 3, 7030, Trondheim, Norway
| | | | - Hilma Holm
- deCODE genetics/Amgen, Inc., Sturlugata 8, 101, Reykjavik, Iceland
| | - Daniel Gudbjartsson
- deCODE genetics/Amgen, Inc., Sturlugata 8, 101, Reykjavik, Iceland.,School of Engineering and Natural Sciences, University of Iceland, Sturlugata 7, 101, Reykjavik, Iceland
| | - Kari Stefansson
- deCODE genetics/Amgen, Inc., Sturlugata 8, 101, Reykjavik, Iceland.,Faculty of Medicine, University of Iceland, Vatnsmýrarvegur 16, 101, Reykjavik, Iceland
| | - Aris Baras
- Regeneron Genetics Center, 777 Old Saw Mill River Road, Tarrytown, NY, 10591, USA
| | | | - Goncalo R Abecasis
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, 1415 Washington Heights, 1700 SPH I, Ann Arbor, MI, 48109, USA.,Regeneron Genetics Center, 777 Old Saw Mill River Road, Tarrytown, NY, 10591, USA
| | - Kristian Hveem
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, NO-7491, Trondheim, Norway. .,HUNT Research Centre, Department of Public Health and Nursing, Norwegian University of Science and Technology, Postboks 8905, N-7491, Levanger, Norway.
| | - Cristen J Willer
- Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, 1500 E. Medical Center Dr., Ann Arbor, MI, 48109, USA. .,Department of Computational Medicine and Bioinformatics, University of Michigan, Palmer Commons, 100 Washtenaw Avenue, Ann Arbor, MI, 48109, USA. .,K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, NO-7491, Trondheim, Norway. .,Department of Human Genetics, University of Michigan, 4909 Buhl Building, 1241 E. Catherine St, Ann Arbor, MI, 48109, USA.
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