Abstract
Aims
This study aims to describe a new method that may be used as a supplement to evaluate humeral rotational alignment during intramedullary nail (IMN) insertion using the profile of the perpendicular peak of the greater tuberosity and its relation to the transepicondylar axis. We called this angle the greater tuberosity version angle (GTVA).
Methods
This study analyzed 506 cadaveric humeri of adult patients. All humeri were CT scanned using 0.625 × 0.625 × 0.625 mm cubic voxels. The images acquired were used to generate 3D surface models of the humerus. Next, 3D landmarks were automatically calculated on each 3D bone using custom-written C++ software. The anatomical landmarks analyzed were the transepicondylar axis, the humerus anatomical axis, and the peak of the perpendicular axis of the greater tuberosity. Lastly, the angle between the transepicondylar axis and the greater tuberosity axis was calculated and defined as the GTVA.
Results
The value of GTVA was 20.9° (SD 4.7°) (95% CI 20.47° to 21.3°). Results of analysis of variance revealed that females had a statistically significant larger angle of 21.95° (SD 4.49°) compared to males, which were found to be 20.49° (SD 4.8°) (p = 0.001).
Conclusion
This study identified a consistent relationship between palpable anatomical landmarks, enhancing IMN accuracy by utilizing 3D CT scans and replicating a 20.9° angle from the greater tuberosity to the transepicondylar axis. Using this angle as a secondary reference may help mitigate the complications associated with malrotation of the humerus following IMN. However, future trials are needed for clinical validation.
Cite this article: Bone Jt Open 2024;5(10):929–936.
Take home message
An ongoing concern in intramedullary nailing (IMN) procedures has been the need for clearly defined anatomical landmarks to ensure proper alignment.
This study presents the greater tuberosity version angle (GTVA), which provides a reliable reference point to mitigate the risk of malrotation-related complications during IMN procedures.
Unlike the femur and tibia, where methods for evaluating rotational alignment exist, achieving standardized rotational alignment during humeral IMN has historically lacked a well-defined technique, relying primarily on overall limb alignment assessments.
This study highlights the distinct advantages of utilizing the greater tuberosity as a consistent reference point.
The greater tuberosity is an easily identifiable and visible anatomical landmark, both intraoperatively and on imaging studies, providing a practical and reliable guide for achieving proper humeral rotational alignment during nailing procedures. By using the greater tuberosity as a reference, surgeons can employ a standardized technique to optimize rotational alignment and reduce the risk of malreduction complications.
Introduction
Mid-shaft humeral fractures account for approximately 1% to 3% of all fractures.1-4 Conservative management with splinting, casting, and functional bracing remains the most popular initial treatment option, as the excellent blood supply from the muscles surrounding the humeral diaphysis provides a favourable healing environment.4-6 However, surgical treatment options, such as intramedullary nailing (IMN), open reduction and internal plate fixation (ORIF), minimally invasive plate osteosynthesis (MIPO), and external fixation, have all shown promising outcomes, although the ideal option remains controversial.7-11
Nevertheless, IMN is gaining traction in specific settings, such as complex segmental fractures, gunshot wounds, soft-tissue degloving injuries, and in the elderly population, as it is a less invasive procedure and has also displayed a significantly shorter operating time and time to union.8-12 When considering IMN for humeral fractures, rotational alignment of the humerus is challenging. Malrotation of the humerus during IMN could lead to decreased shoulder range of motion (ROM), increased shoulder dislocations, nonunion, and malunion.13,14 To the authors’ knowledge, there is little to no literature to guide surgeons through the nailing of the humerus to achieve proper alignment.
In previous studies, the bicipital groove has been reported as an anatomical reference point in shoulder arthroplasty to help attain appropriate humeral retroversion. As such, it has been considered a suitable landmark during IMN of the humerus.15,16 However, its helicoidal shape and groove orientation vary at the humeral anatomical neck and surgical neck, making it difficult for the surgeon to establish a superior approach during IMN, and may be susceptible to distortion by trauma.17 Boothby et al18 describe a fluoroscopic technique that utilizes the sulcus between the lateral head and greater tuberosity of the proximal humerus as a reference for rotational alignment, rather than relying solely on the bicipital groove.
A notable alternative, which the authors have long observed, is the conspicuous visibility of the apex of the greater tuberosity. This anatomical feature can be correlated with the transepicondylar axis, much like in the context of shoulder arthroplasty. Consequently, this study aims to address this limitation by introducing a novel measurement angle, the greater tuberosity version angle (GTVA), capable of identifying anatomical landmarks within a 3D space. The GTVA represents the geometrical relationship between the perpendicular axis of the greater tuberosity and the transepicondylar axis. It holds the potential to facilitate the alignment of the humeral shaft with its innate anatomical position during IMN for humeral shaft fractures.
Methods
In this study, we analyzed the right and left cadaveric humerus of 506 individuals (138 females and 368 males). Those specimens are a subset of the William M. Bass donated skeletal collection at the University of Tennessee, USA. All humeri were CT-scanned using 0.625 × 0.625 × 0.625 mm cubic voxels. The DICOM images from acquired CT scans were then segmented, and surface models (meshes) were generated. This segmentation process has been proven reliable with a negligible interobserver error rate of 0.163 mm, intraobserver error of 0.105 mm, and pairwise interobserver variability of 0.269 mm.19,20
Segmented models for each humerus were added to the bone atlas. Briefly, a bone atlas is an average model that captures the primary shape variation of a bone and allows for the comparison of global shape differences between groups or populations, guaranteeing standardization, normalization, and landmark correspondence across a population. Additionally, it provides a mean for automated calculation of 3D landmarking.
3D landmarks were automatically calculated on each 3D bone using custom written software in C++ (Institute for Advanced Materials & Manufacturing, USA), following a similar approach as defined by Mahfouz et al19 and Abdel Fatah et al.20 Landmarks sometimes falling between CT slices can be miscalculated in 2D analyses, which is particularly visible in the case of transepicondylar axis. Utilizing a 3D approach ensures all landmarks are anatomically accurate in three dimensions. Figure 1 outlines the algorithm used to calculate landmarks on the segmented humerus meshes automatically.
Fig. 1
The following landmarks were calculated: the transepicondylar axis (Figure 2) was defined as the axis connecting the two most prominent points on the medial and lateral epicondyles of the humerus. The greater tuberosity axis was then calculated by finding the most prominent point on the greater tuberosity, and its direction was approximated by computing the bone surface normal (a vector perpendicular to the bone surface) at that point (Figure 3).
Fig. 2
Fig. 3
After establishing landmarks, the angle between the transepicondylar axis and the greater tuberosity axis was calculated and defined as the GTVA (Figure 4).
Fig. 4
Surgical technique
First, standard exposure of the proximal humerus is accomplished through a mini deltoid split approach. The nail entry position is typically at the essential apex, utilizing a rotator cuff split. A standard nail insertion is then performed for traditional IMN systems.
Next, the apex of the greater tuberosity is identified, and its perpendicular axis is marked, either with a small unicortical Kirschner wire, the direct lateral locking screw, or the targeting sleeve. This perpendicular point of the greater tuberosity serves as the first reference landmark or “peak” for the GTVA. Gross overall general alignment and fracture reduction are confirmed utilizing standard fluoroscopic evaluation techniques, as well as assessing the upper limb carrying angle. Once general alignment is satisfactory, fluoroscopic confirmation of nail reduction is performed.
An epicondylar guide is then used to insert a unicortical pin along the epicondylar axis, serving as the second reference point or “peak” (Figure 5). The rotational alignment is verified to be correct by direct visualization or by utilizing a goniometer to compare the angle between the epicondylar axis pin and the proximal locking screw or sleeve, setting it to the defined 20° angle relationship (Figure 6).
Statistical analysis
Descriptive statistics of the greater tuberosity angle were analyzed using JMP Pro statistical software v. 15.2.0 (JMP Pro, USA). One-way analysis of variance (ANOVA) was used to examine differences in sex between males and females. Statistical significance was set at p < 0.05 for all analyses.
Ethics approval
The Institutional Review Board (IRB) at UT Health San Antonio, USA, confirmed that no ethical approval is required.
Results
The interobserver reliability tests yielded a negligible interobserver error rate of 0.163 mm, intraobserver error of 0.105 mm, and pairwise interobserver variability of 0.269 mm. The value of the GTVA was 20.9° (SD 4.7°) (95% CI 20.47° to 21.3°); further descriptive statistics and demographics are listed in Table I, Table II, and Figure 7. Results of ANOVA (Table III) revealed that females had a statistically significant larger angle of 21.95° (SD 4.49°) compared to males, which was found to be 20.49° (SD 4.8°) (p = 0.001).
Fig. 5
Fig. 6
Table I.
Variable | GTVA, ° | Humeral version angle, ° | Humeral neck angle, ° |
---|---|---|---|
Mean (SD) | 20.88 (4.73) | 39.58 (2.89) | 137.39 (1.28) |
25th/50th/75th percentile | 17.6/21.2/24.36 | 37.93/39.99/41.39 | 136.68/137.61/138.26 |
Minimum to maximum | 9.11 to 30.23 | 24.61 to 47.02 | 132.43 to 139.66 |
-
GTVA, greater tuberosity version angle.
Table II.
Variable | Data |
Sex, n (%) | |
Male | 367 (72.5) |
Female | 139 (27.5) |
Race, n (%) | |
White | 465 (92) |
Black | 41 (8) |
Mean age, yrs (SD) | 59.8 (19.6) |
Table III.
Sex | Number | GTVA, ° (SD) |
---|---|---|
Male | 368 | 20.49 (4.80) |
Female | 138 | 21.95 (4.49) |
-
p = 0.001.
-
GTVA, greater tuberosity version angle.
Fig. 7
Discussion
This study aimed to demonstrate a new clinically applicable technique to provide rotational accuracy during humeral IMN. To verify the relationship between the key anatomical landmarks involved, a large 3D cadaveric modelling system was employed, as these relationships are difficult to measure with precision in ingrowth specimen models.
Through 3D CT scans on a sizeable cohort, this study determined the precise relationship between the greater tuberosity’s perpendicular axis and the transepicondylar axis to be 20.9° (SD 4.7°). There is a lack of well-documented procedures in the literature describing verified ways to correct malrotation during IMN. To our knowledge, this study is novel in its introduction of a technique that establishes reliable and easily identifiable anatomical landmarks to achieve satisfactory humeral rotational alignment.
The GTVA has the distinct advantage of utilizing the greater tuberosity as a reference point, which is easily identifiable on imaging studies and clinically palpable intraoperatively. Our findings introduce a new method to mitigate complications associated with humeral IMN due to the sequelae of malrotation. Li et al14 found that up to 27.2% of patients undergoing IMN could experience malrotation. Moreover, they reported that the extent of malrotation was correlated with a limited shoulder ROM. Lin and Hou21 described similar findings in their study on rotational alignment after humeral closed, locked nailing. They also excluded patients with a nonunion, shoulder injury, pre-existing shoulder disease, and lack of participation in rehabilitation exercises, as these conditions produce a susceptibility towards a decreased ROM. Nevertheless, excessive malrotation was still reported as a significant cause of rotational limitation of the shoulder following surgery.
Previous studies have focused on various techniques to restore proper humeral alignment during IMN, such as patient and arm positioning to account for the carrying angle, intraoperative fluoroscopic assessment, and the use of the bicipital groove in relation to the transepicondylar axis as an anatomical landmark.21-23
While intraoperative fluoroscopic techniques for assessing rotational alignment have been described in the lower limb literature, they can be challenging to perform and may lack precision and reproducibility.24,25 The humeral anatomy presents unique difficulties in reliably assessing rotational alignment using standard fluoroscopic views alone. Intraoperative fluoroscopy is also routinely used to obtain adequate placement of prostheses radiologically, though it is challenging to acquire humeral alignment accurately through this method, particularly in comminuted and segmental fractures.
Unlike plate fixation, surgeons cannot directly visualize reduction with IMN, so using best-fit estimates through intraoperative radiographs can lead to an imprecise humeral position. Rommens et al6 studied 190 patients undergoing humeral IMN and concluded that a degree of malrotation of less than 20° leads to acceptable functional and cosmetic outcomes. This finding has been corroborated by multiple studies.14,21,26 As we can imagine, without a preoperative assessment of humeral alignment using 3D CT, it is not easy to estimate less than 20° of rotation using intraoperative fluoroscopy.
While other methods and anatomical landmarks have been proposed to confirm humeral alignment, such as utilizing the angle between the bicipital groove axis and the transepicondylar axis,15,16,27 these studies have notable limitations: the sample sizes were relatively small, and the measurement techniques employed may lack the desired accuracy.
Furthermore, the bicipital groove’s highly variable anatomy has led to hesitation to establish it as an anatomical landmark for reproducing humeral retroversion during shoulder arthroplasty.28-30 The literature shows that the bicipital groove orientation significantly differs in the surgical and anatomical necks of the humerus.17,28,30 Therefore, using the bicipital groove during IMN could introduce an error while attempting to recreate humeral alignment.
In a related context, surgical navigation systems could assist in identifying appropriate anatomical landmarks and enhance humeral alignment efficacy. In addition, these systems provide surgeons with improved visualization of target areas, precise tracking of surgical instruments, and more efficient execution of their approach.31-33 By integrating the recognized relationship between glenohumeral version angle and 3D CT scans with augmented visualization and guidance offered by navigation systems, surgeons may achieve precise alignment during IMN, potentially decreasing malrotation risk and its correlated complications. However, it is necessary to conduct further research to ascertain the feasibility and effectiveness of incorporating surgical navigation systems into this strategy. The benefits should be critically assessed, considering the complexities associated with implementing advanced healthcare technology.
We hypothesize that the GTVA technique will decrease the incidence of humeral malrotation and reduce the complications associated with IMN by predictably restoring humeral alignment. Another significant advantage of the GTVA is the ease of access during surgery and its reproducibility throughout the IMN process. Furthermore, less exposure is required to visualize the bicipital groove, thereby reducing the risk of further injury. Additionally, the direct lateral screw for most IM nails correlates with the apex of the greater tuberosity, facilitating the approach for the surgeon.
With these two reference points established, the nail is locked proximally and distally, utilizing the GTVA to provide additional rotational control and ensure proper humeral alignment.
The GTVA technique offers practical utility, especially in complex humeral fracture patterns such as comminuted or segmental injuries, where controlling rotational alignment can be challenging. The GTVA provides a valuable reference point by utilizing the easily identifiable greater tuberosity as an anatomical landmark. By correlating the apex of the greater tuberosity with the trajectory of the direct lateral interlocking screw, optimal nail positioning can be enhanced, both proximally and distally, for the majority of humeral nailing systems.
Nevertheless, our study has some limitations that must be addressed. First, the limits of variability remain unclear, and the role of comparison to the contralateral side was not evaluated. Second, this study was limited to a GTVA apex model based on cadavers, and intraoperatively, it may not be as accurate or easy to perform. Lastly, no clinical evidence was provided to demonstrate a difference in outcomes; therefore, more studies evaluating the GTVA technique are required to fully evaluate the potential benefits.
In conclusion, determining appropriate humeral nail insertion has been difficult due to the lack of anatomical landmarks and procedures in the literature. Inadequate nail insertion can lead to rotational deformities of the humerus, which has noteworthy associated complications. Our study has successfully identified a consistent relationship between anatomical landmarks that can significantly aid in determining appropriate humeral nail insertion. By utilizing 3D CT scans and replicating a 20.9° angle from the greater tuberosity to the transepicondylar axis, we can enhance the accuracy of IMN and minimize adverse outcomes. However, future prospective trials are essential to validate the effectiveness of our technique clinically.
References
1. Ekholm R , Adami J , Tidermark J , Hansson K , Törnkvist H , Ponzer S . Fractures of the shaft of the humerus. An epidemiological study of 401 fractures . J Bone Joint Surg Br . 2006 ; 88-B ( 11 ): 1469 – 1473 . Crossref PubMed Google Scholar
2. Lotzien S , Hoberg C , Rausch V , Rosteius T , Schildhauer TA , Gessmann J . Open reduction and internal fixation of humeral midshaft fractures: anterior versus posterior plate fixation . BMC Musculoskelet Disord . 2019 ; 20 ( 1 ): 527 . Crossref PubMed Google Scholar
3. Liskutin T , Summers H , Lack W , Bernstein M . Surgical technique: anterolateral approach to the humerus . J Orthop Trauma . 2018 ; 32 Suppl 1 ( 4 ): S6 – S7 . Crossref PubMed Google Scholar
4. Garnavos C . Humeral Shaft Fractures . In : Rockwood and Green’s Fractures in Adults . 1st ed . Philadelphia : Wolters Kluwer , 2020 : 1231 – 1291 . Google Scholar
5. Rämö L , Sumrein BO , Lepola V , et al. Effect of surgery vs functional bracing on functional outcome among patients with closed displaced humeral shaft fractures: the FISH randomized clinical trial . JAMA . 2020 ; 323 ( 18 ): 1792 – 1801 . Crossref PubMed Google Scholar
6. Rommens PM , Kuechle R , Bord T , Lewens T , Engelmann R , Blum J . Humeral nailing revisited . Injury . 2008 ; 39 ( 12 ): 1319 – 1328 . Crossref PubMed Google Scholar
7. Hu Y , Wu T , Li B , Huang Y , Huang C , Luo Y . Efficacy and safety evaluation of intramedullary nail and locking compression plate in the treatment of humeral shaft fractures: a systematic review and meta-analysis . Comput Math Methods Med . 2022 ; 2022 : 5759233 . Crossref PubMed Google Scholar
8. Zarkadis NJ , Eisenstein ED , Kusnezov NA , Dunn JC , Blair JA . Open reduction-internal fixation versus intramedullary nailing for humeral shaft fractures: an expected value decision analysis . J Shoulder Elbow Surg . 2018 ; 27 ( 2 ): 204 – 210 . Crossref PubMed Google Scholar
9. Tetsworth K , Hohmann E , Glatt V . Minimally invasive plate osteosynthesis of humeral shaft fractures: current state of the art . J Am Acad Orthop Surg . 2018 ; 26 ( 18 ): 652 – 661 . Crossref PubMed Google Scholar
10. Matsunaga FT , Tamaoki MJS , Matsumoto MH , Netto NA , Faloppa F , Belloti JC . Minimally invasive osteosynthesis with a bridge plate versus a functional brace for humeral shaft fractures: a randomized controlled trial . J Bone Joint Surg Am . 2017 ; 99-A ( 7 ): 583 – 592 . Crossref PubMed Google Scholar
11. Costa GG , Aloj DC , Cerbasi S , et al. External fixation as a definitive treatment for humeral shaft fractures: radiographic and functional results with analysis of outcome predictors . J Orthop Trauma . 2019 ; 33 ( 7 ): 354 – 360 . Crossref PubMed Google Scholar
12. Metsemakers WJ , Wijnen V , Sermon A , Vanderschot P , Nijs S . Intramedullary nailing of humeral shaft fractures: failure analysis of a single centre series . Arch Orthop Trauma Surg . 2015 ; 135 ( 10 ): 1391 – 1399 . Crossref PubMed Google Scholar
13. Wang C , Ma X , Liu Q , Dai G . Postoperative malrotation of humerus shaft fracture causes degeneration of rotator cuff and cartilage . Sci Rep . 2021 ; 11 ( 1 ): 18596 . Crossref PubMed Google Scholar
14. Li Y , Wang C , Wang M , Huang L , Huang Q . Postoperative malrotation of humeral shaft fracture after plating compared with intramedullary nailing . J Shoulder Elbow Surg . 2011 ; 20 ( 6 ): 947 – 954 . Crossref PubMed Google Scholar
15. Meriç G , Zeybek G , Kıray A , Atik A , Budeyri A , Koşay C . Utilization of the bicipital groove axis for confirming alignment of the humerus with transepicondylar and ulnar shaft axes during intramedullary nailing . Acta Orthop Traumatol Turc . 2015 ; 49 ( 2 ): 184 – 189 . Crossref PubMed Google Scholar
16. Park S-J , Kim E , Jeong HJ , Lee J , Park S . Prediction of the rotational state of the humerus by comparing the contour of the contralateral bicipital groove: Method for intraoperative evaluation . Indian J Orthop . 2012 ; 46 ( 6 ): 675 – 679 . Crossref PubMed Google Scholar
17. Guo J , Zhou Y , Shang M , et al. An analysis of the morphology of bony bicipital groove fractures in proximal humeral fractures . Orthop Surg . 2023 ; 15 ( 8 ): 2144 – 2151 . Crossref PubMed Google Scholar
18. Boothby B , Haase L , Wetzel R . Assessment of intraoperative rotational alignment of closed locked intramedullary nailing for humerus fractures . Tech Hand Up Extrem Surg . 2023 ; 27 ( 2 ): 70 – 72 . Crossref PubMed Google Scholar
19. Mahfouz MR , Merkl BC , Fatah EEA , Booth R Jr , Argenson JN . Automatic methods for characterization of sexual dimorphism of adult femora: distal femur . Comput Methods Biomech Biomed Engin . 2007 ; 10 ( 6 ): 447 – 456 . Crossref PubMed Google Scholar
20. Abdel Fatah EE , Shirley NR , Mahfouz MR , Auerbach BM . A three-dimensional analysis of bilateral directional asymmetry in the human clavicle . Am J Phys Anthropol . 2012 ; 149 ( 4 ): 547 – 559 . Crossref PubMed Google Scholar
21. Lin J , Hou SM . Rotational alignment of humerus after closed locked nailing . J Trauma . 2000 ; 49 ( 5 ): 854 – 859 . Crossref PubMed Google Scholar
22. Tan J , Lee HJ , Aminata I , Chun JM , Kekatpure AL , Jeon IH . Radiographic landmark for humeral head rotation: a new radiographic landmark for humeral fracture fixation . Injury . 2015 ; 46 ( 4 ): 666 – 670 . Crossref PubMed Google Scholar
23. Kwon KY , Kim DS , Baik SH , Lee JW . Comparison of in vivo three-dimensional glenohumeral positions and scapular kinematics between young and older male groups . Clin Orthop Surg . 2021 ; 13 ( 3 ): 376 – 384 . Crossref PubMed Google Scholar
24. Gallo MC , Tucker DW , Reddy A , Pannell WC , Heckmann N , Marecek GS . Large individual bilateral differences in tibial torsion impact accurate contralateral templating and the evaluation of rotational malalignment . J Orthop Trauma . 2021 ; 35 ( 8 ): e277 – e282 . Crossref PubMed Google Scholar
25. Branca Vergano L , Coviello G , Monesi M . Rotational malalignment in femoral nailing: prevention, diagnosis and surgical correction . Acta Biomed . 2020 ; 91 ( 14-S ): e2020003 . Crossref PubMed Google Scholar
26. Flury MP , Goldhahn J , Holzmann P , Simmen BR . Does Weber’s rotation osteotomy induce degenerative joint disease at the shoulder in the long term? J Shoulder Elbow Surg . 2007 ; 16 ( 6 ): 735 – 741 . Crossref PubMed Google Scholar
27. Chu YL , Chen CK , Liu YC , Lu TW , Liaw CK . Geometrical analysis for assessing torsional alignment of humerus . BMC Musculoskelet Disord . 2020 ; 21 ( 1 ): 92 . Crossref PubMed Google Scholar
28. Dacombe PJ , Young DJ , Moulton LS , Prentice MG , Falconer TM , Spencer JMF . The bicipital groove as a landmark for humeral version reference during shoulder arthroplasty: a computed tomography study of normal humeral rotation . J Shoulder Elbow Surg . 2021 ; 30 ( 10 ): e613 – e620 . Crossref PubMed Google Scholar
29. Johnson JW , Thostenson JD , Suva LJ , Hasan SA . Relationship of bicipital groove rotation with humeral head retroversion: a three-dimensional computed tomographic analysis . J Bone Joint Surg Am . 2013 ; 95-A ( 8 ): 719 – 724 . Crossref PubMed Google Scholar
30. Balg F , Boulianne M , Boileau P . Bicipital groove orientation: considerations for the retroversion of a prosthesis in fractures of the proximal humerus . J Shoulder Elbow Surg . 2006 ; 15 ( 2 ): 195 – 198 . Crossref PubMed Google Scholar
31. Zampogna B , Campi S , Torre G , et al. Outcomes of computer-assisted total knee arthroplasty compared to conventional TKA: a bicentric controlled retrospective clinical study . J Clin Med . 2021 ; 10 ( 15 ): 3352 . Crossref PubMed Google Scholar
32. Ewurum CH , Guo Y , Pagnha S , Feng Z , Luo X . Surgical navigation in orthopedics: workflow and system review . Adv Exp Med Biol . 2018 ; 1093 : 47 – 63 . Crossref PubMed Google Scholar
33. Picard F , Deakin AH , Riches PE , Deep K , Baines J . Computer assisted orthopaedic surgery: Past, present and future . Med Eng Phys . 2019 ; 72 : 55 – 65 . Crossref PubMed Google Scholar
Author contributions
J. M. Gutierrez-Naranjo: Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing, Conceptualization
L. M. Salazar: Formal analysis, Methodology, Writing – review & editing, Conceptualization
V. A. Kanawade: Conceptualization, Writing – original draft, Writing – review & editing
E. E. Abdel Fatah: Methodology, Conceptualization, Writing – review & editing
M. Mahfouz: Conceptualization, Writing – review & editing, Methodology
N. W. Brady: Conceptualization, Writing – review & editing, Methodology
A. K. Dutta: Conceptualization, Writing – review & editing, Methodology
Funding statement
The authors received no financial or material support for the research, authorship, and/or publication of this article.
ICMJE COI statement
The authors have no conflicts of interest to disclose.
Data sharing
The data that support the findings for this study are available to other researchers from the corresponding author upon reasonable request.
Acknowledgements
"3D measurement of humeral retroversion on a large academic cadaveric database" by Valero-Moreno, Eduardo et al, published in Seminars in Arthroplasty: JSES, Volume 34, Issue 3, pages 602-607. While that paper was published first, the current manuscript was submitted prior to its publication. The images are the authors' own work and relate to research conducted by the same team. No artificial intelligence (AI) tools or professional language editing services were used in the preparation of this manuscript.
Ethical review statement
The UT Health San Antonio Research Ethics Committee confirmed that no ethical approval is required.
Open access funding
The authors report that they received open access funding for this manuscript from UT Health San Antonio, Texas, USA.
© 2024 Gutierrez-Naranjo et al. This article is distributed under the terms of the Creative Commons Attributions (CC BY 4.0) licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium or format, provided the original author and source are credited.