Statistical shape modeling of the talocrural joint using a hybrid multi-articulation joint approach

被引:27
|
作者
Lenz, Amy L. [1 ]
Krahenbuhl, Nicola [2 ]
Peterson, Andrew C. [1 ]
Lisonbee, Rich J. [1 ]
Hintermann, Beat [2 ]
Saltzman, Charles L. [1 ]
Barg, Alexej [1 ,3 ]
Anderson, Andrew E. [1 ]
机构
[1] Univ Utah, Dept Orthopaed, Salt Lake City, UT 84108 USA
[2] Kantonsspital Baselland, Dept Orthopaed, CH-4410 Liestal, Switzerland
[3] Univ Med Ctr Hamburg Eppendorf, Dept Orthopaed Trauma & Reconstruct Surg, D-20251 Hamburg, Germany
基金
美国国家卫生研究院; 瑞士国家科学基金会;
关键词
CONTACT STRESS; RADIOGRAPHIC MEASUREMENTS; SUBTALAR JOINT; SPACE WIDTH; OSTEOARTHRITIS; INSTABILITY; MORPHOLOGY; RELIABILITY; VALIDITY; VARUS;
D O I
10.1038/s41598-021-86567-7
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Historically, conventional radiographs have been the primary tool to morphometrically evaluate the talocrural joint, which is comprised of the distal tibia, distal fibula, and proximal talus. More recently, high-resolution volumetric imaging, including computed tomography (CT), has enabled the generation of three-dimensional (3D) reconstructions of the talocrural joint. Weightbearing cone-beam CT (WBCT) technology provides additional benefit to assess 3D spatial relationships and joint congruency while the patient is load bearing. In this study we applied statistical shape modeling, a computational morphometrics technique, to objectively quantify anatomical variation, joint level coverage, joint space distance, and congruency at the talocrural joint. Shape models were developed from segmented WBCT images and included the distal tibia, distal fibula, and full talus. Key anatomical variation across subjects included the fibular notch on the tibia, talar trochlea sagittal plane rate of curvature, tibial plafond curvature with medial malleolus prominence, and changes in the fibular shaft diameter. The shape analysis also revealed a highly congruent talocrural joint with minimal inter-individual morphometric differences at the articular regions. These data are helpful to improve understanding of ankle joint pathologies and to guide refinement of operative treatments.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] Statistical shape modeling of the talocrural joint using a hybrid multi-articulation joint approach
    Amy L. Lenz
    Nicola Krähenbühl
    Andrew C. Peterson
    Rich J. Lisonbee
    Beat Hintermann
    Charles L. Saltzman
    Alexej Barg
    Andrew E. Anderson
    [J]. Scientific Reports, 11
  • [2] Morphology of the scaphotrapeziotrapezoid joint: A multi-domain statistical shape modeling approach
    Trentadue, Taylor P.
    Thoreson, Andrew
    Lopez, Cesar
    Breighner, Ryan E.
    Leng, Shuai
    Holmes, David R.
    Kakar, Sanjeev
    Rizzo, Marco
    Zhao, Kristin D.
    [J]. JOURNAL OF ORTHOPAEDIC RESEARCH, 2024,
  • [3] Glenohumeral joint reconstruction using statistical shape modeling
    Yichen Huang
    Dale L. Robinson
    Jonathan Pitocchi
    Peter Vee Sin Lee
    David C. Ackland
    [J]. Biomechanics and Modeling in Mechanobiology, 2022, 21 : 249 - 259
  • [4] Glenohumeral joint reconstruction using statistical shape modeling
    Huang, Yichen
    Robinson, Dale L.
    Pitocchi, Jonathan
    Lee, Peter Vee Sin
    Ackland, David C.
    [J]. BIOMECHANICS AND MODELING IN MECHANOBIOLOGY, 2022, 21 (01) : 249 - 259
  • [5] Morphologic analysis of the subtalar joint using statistical shape modeling
    Krahenbuhl, Nicola
    Lenz, Amy L.
    Lisonbee, Rich J.
    Peterson, Andrew C.
    Atkins, Penny R.
    Hintermann, Beat
    Saltzman, Charles L.
    Anderson, Andrew E.
    Barg, Alexej
    [J]. JOURNAL OF ORTHOPAEDIC RESEARCH, 2020, 38 (12) : 2625 - 2633
  • [6] Association of Bone Shape and Alignment Analyzed Using Statistical Shape Modeling With Severity of First Metatarsophalangeal Joint Osteoarthritis
    Buldt, Andrew K.
    Gregory, Jenny S.
    Munteanu, Shannon E.
    Allan, Jamie J.
    Tan, Jade M.
    Auhl, Maria
    Landorf, Karl B.
    Roddy, Edward
    Marshall, Michelle
    Menz, Hylton B.
    [J]. ARTHRITIS CARE & RESEARCH, 2024, 76 (03) : 385 - 392
  • [7] Application of statistical shape modeling to the human hip joint: a scoping review
    Johnson, Luke G.
    Bortolussi-Courval, Sara
    Chehil, Anjuli
    Schaeffer, Emily K.
    Pawliuk, Colleen
    Wilson, David R.
    Mulpuri, Kishore
    [J]. JBI EVIDENCE SYNTHESIS, 2023, 21 (03) : 533 - 583
  • [8] Prediction of Statistical Distribution of Solder Joint Fatigue Lifetime Using Hybrid Probabilistic Approach
    Oh, Hyunseok
    Wei, Hsiu-Ping
    Han, Bongtae
    Jung, Byung C.
    Han, Changwoon
    Youn, Byeng D.
    Moon, Hojeong
    [J]. CHALLENGES IN MECHANICS OF TIME-DEPENDENT MATERIALS, VOL 2, 2015, : 165 - 169
  • [9] JOINT SHAPE MODELING AND OSTEOARTHRITIS
    Weinans, H.
    [J]. ANNALS OF THE RHEUMATIC DISEASES, 2013, 71 : 12 - 12
  • [10] Study on the estimation of joint length distribution using window sampling in statistical joint modeling
    Song, JJ
    Lee, CL
    [J]. PACIFIC ROCKS 2000: ROCK AROUND THE RIM, 2000, : 687 - 692