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中华医学超声杂志(电子版) ›› 2024, Vol. 21 ›› Issue (09) : 904 -906. doi: 10.3877/cma.j.issn.1672-6448.2024.09.013

综述

超声影像人工智能技术在骨折诊断中的价值
傅小芳1, 吕发勤2,()   
  1. 1. 100039 北京,锦州医科大学解放军总医院第三医学中心研究生培养基地
    2. 100039 北京,解放军总医院第三医学中心超声科
  • 收稿日期:2024-01-01 出版日期:2024-09-09
  • 通信作者: 吕发勤

Value of artificial intelligence-based ultrasound imaging in diagnosis of fractures

Xiaofang Fu, Faqin Lyu()   

  • Received:2024-01-01 Published:2024-09-09
  • Corresponding author: Faqin Lyu
引用本文:

傅小芳, 吕发勤. 超声影像人工智能技术在骨折诊断中的价值[J]. 中华医学超声杂志(电子版), 2024, 21(09): 904-906.

Xiaofang Fu, Faqin Lyu. Value of artificial intelligence-based ultrasound imaging in diagnosis of fractures[J]. Chinese Journal of Medical Ultrasound (Electronic Edition), 2024, 21(09): 904-906.

1
Bianchi S. Ultrasound and bone: a pictorial review [J]. J Ultrasound,2020, 23(3): 227-257.
2
Liu J, Zhang L, Qiu RX. Ultrasound instead of X-ray to diagnose neonatal fractures: a feasibility study based on a case series [J]. Front Pediatr, 2022, 10: 847776.
3
Delniotis I, Bontinis V, Ktenidis K, et al. Diagnostic accuracy of ultrasound versus X-ray for distal forearm fractures in children and adolescents: a systematic review and meta-analysis [J]. Eur J Trauma Emerg Surg, 2024. Online ahead of print.
4
Abu-Zidan FM. Ultrasound diagnosis of fractures in mass casualty incidents [J]. World J Orthop, 2017, 8(8): 606-611.
5
Vassalou EE, Perysinakis I, Klontzas ME, et al. Performance of thoracic ultrasonography compared with chest radiography for the detection of rib fractures using computed tomography as a reference standard [J]. Skeletal Radiol, 2024. Online ahead of print.
6
Lee SH, Yun SJ. Diagnostic performance of ultrasonography for detection of pediatric elbow fracture: a meta-analysis [J]. Ann Emerg Med, 2019, 74(4): 493-502.
7
Ackermann O, Simanowski J, Eckert K. Fracture ultrasound of the extremities [J]. Ultraschall Med, 2020, 41(1): 12-28.
8
Iacob R, Stoicescu ER, Cerbu S, et al. Could ultrasound be used as a triage tool in diagnosing fractures in children? A literature review [J].Healthcare (Basel), 2022, 10(5): 823.
9
Brooks AJ, Price V, Simms M, et al. Handheld ultrasound diagnosis of extremity fractures [J]. J R Army Med Corps, 2004, 150(2): 78-80.
10
Mabvuure NT, Malahias M, Hindocha S, et al. Acute compartment syndrome of the limbs: current concepts and management [J]. Open Orthp J, 2012, 6(1): 535-543.
11
宋升. 新兵胫骨应力性损伤的高频超声和MRI 对照研究 [D]. 镇江:江苏大学, 2009.
12
Kotlarsky P, Feldman O, Shavit I, et al. The use of real-time sonography-assisted fracture reduction in children with displaced forearm fractures [J]. J Pediatr Orthop B, 2022, 31(3): 303-309.
13
Zhou H, Zhang G, Li M, et al. Ultrasonography-guided closed reduction in the treatment of displaced transphyseal fracture of the distal humerus [J]. J Orthop Surg Res, 2020, 15(1): 575.
14
Deng C, Shen Z, Wang K, et al. A novel approach for the treatment of Jacob II and III fractures of the lateral humeral condyle in children:Percutaneous Kirschner wire fixation with ultrasound localization [J].Front Surg, 2022, 9: 1000399.
15
Jia S, Wang J, Yu B, et al. Ultrasound assistance in treatment with elastic stable intramedullary nail fixation in radial and ulnar fractures in children [J]. Int Orthop, 2023, 47(3): 773-779.
16
Jeon S, Jang J, Lee G, et al. Assessment of neovascularization during bone healing using contrast-enhanced ultrasonography in a canine tibial osteotomy model: a preliminary study [J]. J Vet Sci, 2020, 21(1): e10.
17
Cocco G, Ricci V, Villani M, et al. Ultrasound imaging of bone fractures [J]. Insights Imaging, 2022, 13(1): 189.
18
Bonnefoy O, Diris B, Moinard M, et al. Acute knee trauma: role of ultrasound [J]. Eur Radiol, 2006, 16(11): 2542-2548.
19
Li M, Jiang Y, Zhang Y, et al. Medical image analysis using deep learning algorithms [J]. Front Public Health, 2023, 11: 1273253.
20
Shen YT, Chen L, Yue WW, et al. Artificial intelligence in ultrasound[J]. Eur J Radiol, 2021, 139: 109717.
21
Kubicek J, Tomanec F, Cerny M, et al. Recent trends, technical concepts and components of computer-assisted orthopedic surgery systems: a comprehensive review [J]. Sensors (Basel), 2019, 19(23): 5199.
22
Amin DV, Kanade T, DiGioia AM, et al. Ultrasound registration of the bone surface for surgical navigation [J]. Comput Aided Surg, 2003, 8(1): 1-16.
23
Krucker JF, Fowlkes JB, Carson PL. Sound speed estimation using automatic ultrasound image registration [J]. IEEE Trans Ultrason Ferroelect Freq Control, 2004, 51(9): 1095-1106.
24
Brosner P, Hohlmann B, Welle K, et al. Ultrasound-based registration for the computer-assisted navigated percutaneous scaphoid fixation [J]. IEEE Trans Ultrason Ferroelectr Freq Control, 2023, 70(9): 1064-1072.
25
Barratt DC, Penney GP, Chan CSK, et al. Self-calibrating 3D-ultrasound-based bone registration for minimally invasive orthopedic surgery [J]. IEEE Trans Med Imag, 2006, 25(3): 312-323.
26
Chan A, Parent E, Mahood J, et al. 3D ultrasound navigation system for screw insertion in posterior spine surgery: a phantom study [J]. Int J Comput Assist Radiol Surg, 2022, 17(2): 271-281.
27
Hacihaliloglu I. Ultrasound imaging and segmentation of bone surfaces: a review [J]. Technology (Singap World Sci), 2017, 5(2): 74-80.
28
Zaman A, Park SH, Bang H, et al. Generative approach for data augmentation for deep learning-based bone surface segmentation from ultrasound images [J].Int J Comput Assist Radiol Surg, 2020, 15(6): 931-941.
29
Wang P, Vives M, Patel VM, et al. Robust real-time bone surfaces segmentation from ultrasound using a local phase tensor-guided CNN[J]. Int J Comput Assist Radiol Surg, 2020, 15(7): 1127-1135.
30
Baka N, Leenstra S, Van Walsum T. Ultrasound aided vertebral level localization for lumbar surgery [J]. IEEE Trans Med Imag, 2017, 36(10): 2138-2147.
31
Luan K, Li Z, Li J. An efficient end-to-end CNN for segmentation of bone surfaces from ultrasound [J]. Comput Med Imaging Graph, 2020,84: 101766.
32
Hacihaliloglu I. 3D ultrasound for orthopedic interventions [J]. Adv Exp Med Biol, 2018, 1093: 113-129.
33
Kuo RYL, Harrison C, Curran TA, et al. Artificial intelligence in fracture detection: a systematic review and meta-analysis [J].Radiology, 2022, 304(1): 50-62.
34
Jin L, Yang J, Kuang K, et al. Deep-learning-assisted detection and segmentation of rib fractures from CT scans: development and validation of FracNet [J]. EBioMedicine, 2020, 62: 103106.
35
Zech JR, Santomartino SM, Yi PH. Artificial intelligence (AI) for fracture diagnosis: an overview of current products and considerations for clinical adoption, from the AJR special series on AI applications [J].AJR Am J Roentgenol, 2022, 219(6): 869-878.
36
Zhang J, Boora N, Melendez S, et al. Diagnostic accuracy of 3D ultrasound and artificial intelligence for detection of pediatric wrist injuries [J]. Children (Basel, Switzerland), 2021, 8(6): 431.
37
冯自立, 康其传, 张涛, 等. 基于卷积神经网络的骨折超声图像识别初步研究 [J]. 空军军医大学学报, 2022, 43(4): 348-352.
38
Knight J, Zhou Y, Keen C, et al. 2D/3D ultrasound diagnosis of pediatric distal radius fractures by human readers vs artificial intelligence [J]. Sci Rep, 2023, 13(1): 14535.
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