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Asymmetry and structural system analysis of the proximal femur meta-epiphysis: osteoarticular anatomical pathology

Journal of Orthopaedic Surgery and Research volume 3, Article number: 11 (2008) Cite this article

Abstract

Background

The human femur is commonly considered as a subsystem of the locomotor apparatus with four conspicuous levels of organization. This phenomenon is the result of the evolution of the locomotor apparatus, which encompasses both constitutional and individual variability. The work therein reported, therefore, underlies the significance of observing anatomical system analysis of the proximal femur meta-epiphysis in normal conditions, according to the anatomic positioning with respect to the right or left side of the body, and the presence of system asymmetry in the meta-epiphysis structure, thus indicating structural and functional asymmetry.

Methods

A total of 160 femur bones of both sexes were compiled and a morphological study of 15 linear and angulated parameters of proximal femur epiphysis was produced, thus defining the linear/angulated size of tubular bones. The parameters were divided into linear and angulated groups, while maintaining the motion of the hip joint and transmission of stress to the unwanted parts of the limb. Furthermore, the straight and vertical diameters of the femoral head and the length of the femoral neck were also studied. The angle between the neck and diaphysis, the neck antiversion and angle of rotation of the femoral neck were subsequently measured. Finally, the condylo-diaphyseal angle with respect to the axis of extremity was determined. To visualize the force of intersystem ties, we have used the method of correlation galaxy construction.

Results

The absolute numeral values of each linear parameter were transformed to relative values. The values of superfluity coefficient for each parameter in the right and left femoral bone groups were estimated and Pearson's correlation coefficient has been calculated (> 0.60). Retrospectively, the observed results have confirmed the presence of functional asymmetry in the proximal femur meta-epiphysis. On the basis of compliance or insignificant difference in the confidence interval of the linear parameters, we have revealed, therefore, a discrepancy in values between the neck and the diaphysis angle and the angle of femoral neck rotation (range displacement of confident interval to a greater degree to the right).

Conclusion

This study assessed the observations of a systemic anatomical study encompassing the proximal femur meta-epiphysis behavior in normal condition. This work has significance in medical practice as the theoretical basis is also required in knowing the decreased frequency and degree of severity of osteoarthritic pathologies in the dominant lower extremity.

Background

The femur, or as is commonly known as the thighbone, is one of the most thoroughly anatomically studied human body bones [1]. There is consensus as to the femur's anatomical peculiarities, age, gender and locomotion physiology [2]. Nevertheless, there is yet mounting controversy regarding the values of the linear and angular parameters of the proximal meta-epiphysis and their correlations.

The degree of the diaphysio-femoral neck angle according to Wagner and colleagues [3] varies from 125°3' to 132°3'. On the other hand, it was reported that the value may fluctuate from 109° to 153° [4], with no gender or racial predilection [5, 6].

The antiversion angle range is approximately 74° (this value is conspicuously variable – it can vary from -12 to +74) [1]. Anatomically, it is well known that each skeletal bone is under certain influence of static and dynamic stress. This, in turn, defines the external shape and internal morphology of the femur's bone structure [7–11]. Nevertheless, the peculiarities of the femur and its epiphysis with regards to bilateral asymmetry (right or left side of the body) are not well understood [1, 6].

We have previously reported the systematic organization of the femur [1], with subdivided groups into four levels of organization and anatomical values correlating with that of the human body joints. As the anatomy of the human body is characterized by the functional predominance of the right upper and left lower limbs [1, 12–14], particular actuality was acquired in studying the value of parameters at different levels involved with forming the functional asymmetry of the femur bone [6].

The purpose of this work was to assess the observations of a systemic anatomical study encompassing the proximal femur meta-epiphysis behavior in normal condition. Our study has a spontaneous significance in medical practice as the theoretical basis is also required in unraveling the decreased frequency and degree of severity of osteoarthritic pathologies in the dominant lower extremity, in accordance with recurrent experimental observations [15–20].

Materials and methods

Sample collection and compilation

A total of one hundred and sixty (160) femur bones of both genders were compiled from a collection of human anatomy museums at the departments of several institutions, as previously indicated [1], without any indications of pathologic signs or symptoms or otherwise.

Furthermore, a morphological study of fifteen (15) linear and angulated parameters of proximal femur epiphysis was produced with the help of special arrangements [1], which allowed us to define the linear and angulated size of the tubular bones.

Sample anatomical analysis

Depending on the degree of participation in function, all the investigated parameters of the proximal femur metaepiphysis were divided into linear and angulated groups, while maintaining the motion of the hip joint and transmission of stress to the unwanted parts of the limb.

Among the linear values that support the hip joint motion, we studied the straight and vertical diameters of the femoral head and the length of the femoral neck anteriorly, posteriorly, superiorly and inferiorly.

For the angulated values, we measured the angle between the neck and the diaphysis, the neck antiversion (rotation of the femoral neck in sagital plane), and angle of rotation of the femoral neck (in frontal plane). For the unwanted parts where the transmission of body weight occurs, we contributed the linear values as transverse size of the proximal epiphysis, and the vertical and straight neck diameters, intertrochanteric space, as straight and transverse diameter of diaphysis. Moreover, for the angulated values, we related the condylo-diaphyseal angle or angle of deviation of the femur with respect to the axis of extremity.

It is also noted that different ratios between various correlations with the value of ≥ 0.8 and < 0.7 at both groups (left and right bones) essentially indicate that the group of left bones is more specialized and thus functionally less universal.

Statistical analysis

Results were assessed using the analysis software of Microsoft Excel XP and the method of correlation between systems and structures. In each group, the value of Pearson's correlation coefficient has been calculated among the studied parameters.

For the following analysis, correlation links have been taken into consideration with the correlation coefficient more than 0.6, as shown in Figure 1.

Figure 1
figure1

Correlation galaxies revealed during the structure analysis of the femur proximal meta-epiphysis (A, to the right; B, to the left; C, to the right; D, to the left). In figures 1A and 1B, ties with Pearson's correlation coefficient in the range of 0.8–0.89 are marked with dotted line; 0.9 and higher are marked with a continuous line. In figures 1C and 1D, ties with Pearson's correlation coefficient in the range of 0.6–0.69 are marked with dotted line; 0.7–0.79 are marked with a continuous line. Symbols: A – direct head diameter; B – vertical head diameter; C – direct neck diameter; D – vertical neck diameter; E – intertrochanteric size; F – front neck length; G – back neck length; H – upper neck length; I – lower neck length; J – proximal epiphysis transverse size; K – direct diaphysis diameter.

Full size image

It's worth noting that all values were normalized (the procedure of dividing of the mean of each linear parameter by the mean of the transverse diameter of the femoral diaphysis). Therefore, the deviation of the measurement becomes irrelevant.

Furthermore, the value of the transverse diameter of the femoral diaphysis was used because this segment of the bone is specified for support (mono-functional).

To visualize the force of intersystem ties, we have used the method of correlation galaxy construction [1] (see Figure 1).

In accordance, each measurement (using our device and caliper) was produced four (4) times by one researcher and then the average values on each investigated linear or angular parameter were used for the following analysis procedures. As is well known, the repeatability of the measurement can be described and characterized directly or indirectly by several parameters, such as the standard deviation and dispersion. In our case, the repeatability of the measurement was dependent on two parameters: i) accuracy of the experimenter and ii) 'device mistake.'

Thus, one researcher and one device plus the following normalization process using the value of the transverse size of the femoral shaft (measures by a given experimenter and one caliper with the same accuracy and 'device mistake') indicate specific repeatability of a certain measurement. For example, the following relation indicates a specific degree of accuracy:

X (true value of any linear parameter) + x (current mistake of measurement)/D (true value of the transverse size of the femoral shaft) + d (current mistake of measurement) = A (normalized value of the measures linear parameter)

A = X + x/D + d

Results

The absolute numerical values of each linear parameter were transformed to relative values (i.e., for each bone, the transverse diameter of diaphysis was considered a unit of measure), as shown in Table 1 (see Statistical analysis above). These parameters represent the absolute values of the intervals relating to the right and left femoral proximal meta-epiphysis bones, indicating proximity and specificity of the angular rotations (significance is realized at p ≤ 0.05).

Table 1 Parameters values of femoral proximal meta-epiphysis.*
Full size table

Furthermore, we have estimated the values of superfluity coefficient for each parameter in the right and left femoral bone groups, separately (the value of system information capacity). The results of the informational analysis are given in Table 2. The superfluity coefficient values of the researched hip arthrosis proximal meta-epiphysis parameters also indicate proximity and specificity.

Table 2 Superfluity coefficient values of the researched hip arthrosis proximal meta-epiphysis parameters.
Full size table

Furthermore, correlation analysis was undertaken. The values of Pearson's correlation coefficient among parameters of femoral bones proximal epiphysis are shown in Table 3. These correlation values among the aforementioned parameters of the femoral bones proximal epiphysis represent a correlating pattern characteristic of the right and left bones, diametrically and longitudinally.

Table 3 Values of correlation coefficient among parameters of femoral bones proximal epiphysis.*
Full size table

In each of the abovementioned analysis approaches, all absolute values were transformed to the relative type. This procedure, therefore, normalizes all values accordingly.

Discussion

Retrospective review of the observed results confirms the presence of functional asymmetry in the proximal femur meta-epiphysis [1]. On the basis of compliance or insignificant difference in the confidence interval of the linear parameters, we have revealed a discrepancy in values between the neck and the diaphysis angle and the angle of femoral neck rotation (range displacement of confident interval to a greater degree to the right).

This fact can be explained by the obvious muscular imbalance and predominance of the right extremity in providing support function [18–24]. In the analysis of correlation dependence, we have not revealed any significant ties among angular and linear parameters. In our opinion, it indicates that their influence on the morphological and functional characteristics of the proximal femur meta-epiphysis is, in general, minimal and their absolute values characterize individual variability in the borders of the backbone (noted above) characteristics at the previous level [5–9].

Furthermore, we have revealed analytical correlation dependence (bonding force is more than 0.8) between the diameters of the femoral head and neck in both left and right bones groups (parameters are marked as A, B, C and D; Figure 1), which shows active participation of these structures in realizing the support function of the hip joint [1–5]. Besides, the given structures can be considered as backbones (system-organizing) [25–27]. The presence of correlation between the transverse size of the proximal epiphysis (J) and the diameter of the femoral head may indicate the predominance of the left extremity in providing movements in the hip joint and also the maintenance of the vertical position of body while walking [12–15].

Of particular significance, the results of the aforementioned informational analysis show that the femur proximal meta-epiphysis is asymmetric. Moreover, left proximal epiphysis has a greater margin of safety according to a number of parameters transmitting load to underlying leg part (vertical head and neck diameters, intertrochanteric space) and providing direct walking of a person (diaphyseal neck angle, neck anteversion and rotation angles) [2–7, 16, 27].

In addition to that, the results of the informational analysis and correlation ties of moderate intensity (Pearson's correlation coefficient 0.6–0.79) in both groups between the intertrochanteric space and the parameters of the femoral head confirm the hypothesis that the proximal parts of the femur act at a level that transmits load to the knee joint [28–31].

The centre of the femoral head is the place of strength application that leads to the development of significant flexion; its value can be defined as the distance between linear action of strength and axis of the center of bone gravity [25–31]. Moreover, there are three types of tension in bones: flexion, compression and rotation [32]. An additional bone compression occurs on the side of strength action, whereas a stress sprain develops on the opposite side.

Transmission of the axial load to the hip joint region occurs in different positions – it can be adducted and abducted in many directions (anterior, posterior, etc.) [32]. Furthermore, stress on the diaphysis is transmitted through the head by means of neck. Biomechanical stress axis may also form an angle with the anatomical axis [1].

In case of maximal femur adduction there will be more eccentricity, where in the subtrochanteric area more flexion is seen [27–32]. On the left, correlation ties between the intertrochanteric space and the transverse size of the proximal epiphysis (marked as E and J) confirm this hypothesis and show a greater degree of fulfillment of the support and moving function of the left leg.

On the basis of the aforementioned analysis, we can formulate the conclusion that there is a system asymmetry of the proximal femur in normal condition with the predominance of the left proximal epiphysis in providing moving and support function. The right proximal femur meta-epiphysis is less adjusted to movement and severe strain. This indicates the prevalence of degree and frequency of the right hip joint impairment [33–36].

In accordance with the aforementioned, it can be concluded that the less the number of correlating values amongst 'right-side' parameter means, the more the right femur is functionally 'universal,' less 'structural'. This thereby exhibits the realization of more functions as compared with the left bone [1].

References

  1. 1.

    Samaha AA, Ivanov AV, Haddad JJ, Kolesnik AI, Baydoun S, Yashina IN, Samaha RA, Ivanov DA: Biomechanical and system analysis of the human femoral bone: Correlation and anatomical approach. J Orthop Surg Res. 2007, 2: 8-10.1186/1749-799X-2-8.

    PubMed Central  Article  PubMed  Google Scholar 

  2. 2.

    Mayhew PM, Thomas CD, Clement JG, Loveridge N, Beck TJ, Bonfield W, Burgoyne CJ, Reeve J: Relation between age, femoral neck cortical stability, and hip fracture risk. Lancet. 2005, 366: 129-135. 10.1016/S0140-6736(05)66870-5.

    Article  PubMed  Google Scholar 

  3. 3.

    Wagner A, Sachse A, Keller M, Aurich M, Wetzel WD, Hortschansky P, Schmuck K, Lohmann M, Reime B, Metge J, Arfelli F, Menk R, Rigon L, Muehleman C, Bravin A, Coan P, Mollenhauer J: Qualitative evaluation of titanium implant integration into bone by diffraction enhanced imaging. Phys Med Biol. 2006, 51: 1313-1324. 10.1088/0031-9155/51/5/019.

    CAS  Article  PubMed  Google Scholar 

  4. 4.

    Nikitiuk IE, Ovsiankin NA: The differential diagnosis of posttraumatic ossifications in the area of the elbow joint in children. Vestn Khir Im I I Grek. 1997, 156: 28-31.

    CAS  PubMed  Google Scholar 

  5. 5.

    Cummings RG, Cauley JA, Palermo L, Ross PD, Wasnich RD, Black D, Faulkner KG: Racial differences in hip axis length might explain racial differences in rates of hip fracture. Study of osteoporotic oractures oesearch group. Osteoporosis Int. 1994, 4: 226-229. 10.1007/BF01623243.

    CAS  Article  Google Scholar 

  6. 6.

    Farmer ME, White LR, Brody JA, Bailey KR: Race and differences in hip fracture incidences. Am J Public Health. 1984, 74: 1374-1380.

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  7. 7.

    Auerbach BM, Ruff CB: Limb bone bilateral asymmetry: Variability and commonality among modern humans. J Hum Evol. 2006, 50: 203-218. 10.1016/j.jhevol.2005.09.004.

    Article  PubMed  Google Scholar 

  8. 8.

    Livshits G, Yakovenko K, Kletselman L, Karasik D, Kobyliansky E: Fluctuating asymmetry and morphometric variation of hand bones. Am J Phys Anthropol. 1998, 107: 125-136. 10.1002/(SICI)1096-8644(199809)107:1<125::AID-AJPA10>3.0.CO;2-2.

    CAS  Article  PubMed  Google Scholar 

  9. 9.

    Bass SL, Saxon L, Daly RM, Turner CH, Robling AG, Semaan E, Stuckey S: The effect of mechanical loading on the size and shape of bone in pre-, peri-, and postpubertal girls: A study tennis players. J Bone Miner Res. 2002, 17: 2274-2280. 10.1359/jbmr.2002.17.12.2274.

    CAS  Article  PubMed  Google Scholar 

  10. 10.

    Gonzalez MH, Barmada R, Fabiano D, Meltzer W: Femoral shaft fracture after hip arthroplasty: A system for classification and treatment. J South Orthop Assoc. 1999, 8: 240-248.

    CAS  PubMed  Google Scholar 

  11. 11.

    Lewinnek GE, Lewis JL, Tarr R, Compere CL, Zimmerman JR: Dislocation after total hip replacement arthroplasty. J Bone Joint Surg. 1978, 60: 217-220.

    CAS  PubMed  Google Scholar 

  12. 12.

    Noble PC, Alexander JW, Lindahl LJ, Yew DT, Granberry WM, Tullos HS: The anatomic basis of femoral component design. Clin Orthop Relat Res. 1988, 235: 148-165.

    PubMed  Google Scholar 

  13. 13.

    L'ubusky M, Mickova I, Prochazka M, Dzvincuk P, Mala K, Cizek L, Janout V: Discrepancy of ultrasound biometric parameters of the head (HC – head circumference, BPD – biparietal diameter) and femur length in relation to sex of the fetus and duration of pregnancy. Ceska Gynekol. 2006, 71: 169-172.

    PubMed  Google Scholar 

  14. 14.

    Upadhyay SS, Burwell RG, Moulton A, Small PG, Wallace WA: Femoral anteversion in healthy children, application of a new method using ultrasound. J Anat. 1990, 169: 49-61.

    PubMed Central  CAS  PubMed  Google Scholar 

  15. 15.

    Collins EH: The concept of relative limb dominance. Hum Biol. 1961, 33: 293-317.

    CAS  PubMed  Google Scholar 

  16. 16.

    Turner RS: Postoperative total hip prosthetic femoral head dislocations. Incidence, etiologic, factors and management. Clin Orthop. 1994, 301: 196-204.

    PubMed  Google Scholar 

  17. 17.

    Spruijt S, van der Linden JC, Dijkstra PD, Wiggers T, Oudkerk M, Snijders CJ, van Keulen F, Verhaar JA, Weinans H, Swierstra BA: Prediction of torsional failure in 22 cadaver femora with and without simulated subtrochanteric metastatic defects: A CT scan-based finite element analysis. Acta Orthop. 2006, 77: 474-481. 10.1080/17453670610046424.

    Article  PubMed  Google Scholar 

  18. 18.

    Theodorou SJ, Theodorou DJ, Resnick D: Imaging findings in symptomatic patients with femoral diaphyseal stress injuries. Acta Radiol. 2006, 47: 377-384. 10.1080/02841850600570508.

    CAS  Article  PubMed  Google Scholar 

  19. 19.

    Wisniewski SJ, Grogg B: Femoroacetabular impingement: An overlooked cause of hip pain. Am J Phys Med Rehabil. 2006, 85: 546-549. 10.1097/01.phm.0000219148.00549.e8.

    Article  PubMed  Google Scholar 

  20. 20.

    Estok DM, Harris WH: Long-term results of cemented femoral revision surgery using second-generation technique. An average 11,7-year follow-up evaluation. Clin Orthop. 1994, 299: 190-202.

    PubMed  Google Scholar 

  21. 21.

    McCollum DE, Gray WJ: Dislocation after total hip arthroplasty. Clin Orthop. 1990, 261: 159-170.

    PubMed  Google Scholar 

  22. 22.

    Morrey BF: Instability after total hip arthroplasty. Orthop Clin N America. 1992, 2: 237-248.

    Google Scholar 

  23. 23.

    Noble PC: Proximal femoral geometry and the design of cementless hip replacements. Orthop Rel Sci. 1990, 1: 86-92.

    Google Scholar 

  24. 24.

    Takada J, Beck TJ, Iba K, Yamashita T: Structural trends in the aging proximal femur in Japanese postmenopausal women. Bone. 2007, 41: 97-102. 10.1016/j.bone.2007.04.178.

    Article  PubMed  Google Scholar 

  25. 25.

    Chiu FY: The native femoral sulcus as the guide for the medial/lateral position of the femoral component in knee arthroplasty: Normal patellar tracking in 690/700 knees – a prospective evaluation. Acta Orthop. 2006, 77: 501-504. 10.1080/17453670610046460.

    Article  PubMed  Google Scholar 

  26. 26.

    Efimov VA, Gorlin IK, Nechaev BN, Trgubov GP, Belavich NF: The use of new materials and structural-technological equipment in foreign medical technology. Med Tekh. 1981, 3: 38-43.

    PubMed  Google Scholar 

  27. 27.

    Bell KL, Loveridge N, Reeve J, Thomas CD, Feik SA, Clement JG: Super-osteons (remodeling clusters) in the cortex of the femoral shaft: Influence of age and gender. Anat Rec. 2001, 264: 378-386. 10.1002/ar.10014.

    CAS  Article  PubMed  Google Scholar 

  28. 28.

    Hernandez-Vaquero D, Suarez-Vazquez A: Knee arthrodesis with navigation: A new indication for computer-assisted surgery? A case report. Knee. 2007, 14: 162-163. 10.1016/j.knee.2006.11.007.

    Article  PubMed  Google Scholar 

  29. 29.

    Ensini A, Catani F, Leardini A, Romagnoli M, Giannini S: Alignments and clinical results in conventional and navigated total knee arthroplasty. Clin Orthop Relat Res. 2007, 457: 156-162.

    CAS  PubMed  Google Scholar 

  30. 30.

    Weidow J, Karrholm J, Saari T, McPherson A: Abnormal motion of the medial femoral condyle in lateral knee osteoarthritis. Clin Orthop Relat Res. 2007, 454: 27-34. 10.1097/BLO.0b013e31802bab25.

    Article  PubMed  Google Scholar 

  31. 31.

    Manner HM, Radler C, Ganger R, Grill F: Knee deformity in congenital longitudinal deficiencies of the lower extremity. Clin Orthop Relat Res. 2006, 448: 185-192. 10.1097/01.blo.0000218733.38753.90.

    CAS  Article  PubMed  Google Scholar 

  32. 32.

    Li G, Zayontz S, DeFrate LE, Most E, Suggs JF, Rubash HE: Kinematics of the knee at high flexion angles: an in vitro investigation. J Orthop Res. 2004, 22: 90-95. 10.1016/S0736-0266(03)00118-9.

    CAS  Article  PubMed  Google Scholar 

  33. 33.

    Neame R, Zhang W, Deighton C, Doherty M, Doherty S, Lanyon P, Wright G: Distribution of radiographic osteoarthritis between the right and left hands, hips, and knees. Arthritis Rheum. 2004, 50: 1487-1494. 10.1002/art.20162.

    Article  PubMed  Google Scholar 

  34. 34.

    Reis P, Nahal-Said R, Ravaud P, Dougados M, Amor B: Are radiological joint space widths of normal hips asymmetrical. Ann Rheum Dis. 1999, 58: 246-249.

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  35. 35.

    O'Neill TW, Grazio S, Spector TD, Silman AJ: Geometric measurements of the proximal femur in UK women: secular increase between the late 1950s and early 1990s. Osteoporos Int. 1996, 6: 136-140. 10.1007/BF01623937.

    Article  PubMed  Google Scholar 

  36. 36.

    Schultz AH: Proportions, variability and asymmetries of the long bones of the limbs and te clavicles in man and apes. Hum Biol. 1937, 9: 281-328.

    Google Scholar 

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Acknowledgements

The authors would like to thank their colleagues at Kursk State Medical University (KSMU), department of Anatomy, for financial support and critical assessment of the manuscript.

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Affiliations

  1. Department of Anatomy, Faculty of Public Health, Lebanese University, Zahle, Lebanon

    Ali A Samaha

  2. Cellular and Molecular Signaling Research Group, Departments of Biological and Biomedical Sciences, Faculty of Arts and Sciences, Lebanese International University, Beirut, Lebanon

    Ali A Samaha, John J Haddad & Maher R Arabi

  3. Department of Anatomy, Kursk State Medical University, Russia

    Ali A Samaha, Alexander V Ivanov, Alexander I Kolesnik, Irena N Yashina & Dimetry A Ivanov

  4. Faculty of Arts and Sciences, Lebanese International University, Bekaa, Lebanon

    Safaa Baydoun

  5. Clinical Laboratory, Faculty of Public Health, Lebanese University, Zahle, Lebanon

    Rana A Samaha

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  1. Ali A Samaha
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  2. Alexander V Ivanov
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Correspondence to John J Haddad.

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All authors have squarely and equally contributed to developing the experimental, theoretical and statistical aspects of this article.

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Samaha, A.A., Ivanov, A.V., Haddad, J.J. et al. Asymmetry and structural system analysis of the proximal femur meta-epiphysis: osteoarticular anatomical pathology. J Orthop Surg Res 3, 11 (2008). https://doi.org/10.1186/1749-799X-3-11

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Keywords

  • Femoral Neck
  • Femoral Head
  • Transverse Diameter
  • Transverse Size
  • Linear Parameter

Journal of Orthopaedic Surgery and Research

ISSN: 1749-799X