Academic Content and Language Evaluation of This Article
CrossCheck and Google Search of This Article
Academic Rules and Norms of This Article
Citation of this article
Corresponding Author of This Article
Research Domain of This Article
Article-Type of This Article
Open-Access Policy of This Article
Times Cited Counts in Google of This Article
Number of Hits and Downloads for This Article
- Total Article Views (4094)
All Articles published online
|
Publishing Process of This Article
|
May 18, 2021 (publication date) through Jun 9, 2024
Times Cited of This Article
Journal Information of This Article
Publication Name
World Journal of Orthopedics
ISSN
2218-5836
Publisher of This Article
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| For: | Mah D, Chamoli U, Smith GC. Usefulness of computed tomography based three-dimensional reconstructions to assess the critical shoulder angle. World J Orthop 2021; 12(5): 301-309 [PMID: 34055587 DOI: 10.5312/wjo.v12.i5.301] |
|---|---|
| URL: | https://www.wjgnet.com/2218-5836/full/v12/i5/301.htm |
| Number | Citing Articles |
| 1 |
Felipe Toro, Joaquín De la Paz, Francisca De la Maza, Francisco Ruiz, Claudio Moraga, Paula Mardones. PREDICTABILITY AND FUNCTIONAL IMPACT OF LATERAL ACROMIOPLASTY USING PREOPERATIVE 2D PLANNING ON THE CORRECTION OF THE CRITICAL SHOULDER ANGLE (CSA) IN PATIENTS WITH ROTATOR CUFF REPAIR. JSES International 2024; doi: 10.1016/j.jseint.2024.05.009
|
| 2 |
Yi Long, Huijun Hu, Chuanhai Zhou, Jingyi Hou, Zhiling Wang, Min Zhou, Dedong Cui, Xiaoding Xu, Rui Yang. The Critical Shoulder Angle Can be Accurately and Reliably Determined from Three‐Dimensional Computed Tomography Images. Orthopaedic Surgery 2023; 15(8): 2052 doi: 10.1111/os.13652
|
| 3 |
Hanspeter Hess, Adrian C. Ruckli, Finn Bürki, Nicolas Gerber, Jennifer Menzemer, Jürgen Burger, Michael Schär, Matthias A. Zumstein, Kate Gerber. Deep-Learning-Based Segmentation of the Shoulder from MRI with Inference Accuracy Prediction. Diagnostics 2023; 13(10): 1668 doi: 10.3390/diagnostics13101668
|