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Thoracolumbar flexion dysfunction and thoracolumbar compression fracture in postmenopausal women: a single-center retrospective study



To investigate whether thoracolumbar flexion dysfunctions increase the risk of thoracolumbar compression fractures in postmenopausal women.


The records of postmenopausal women with thoracolumbar vertebral compression fractures and without vertebral compression fractures were surveyed. Demographic data, clinical data, and quantitative computed tomography (QCT) findings were compared between the groups. Chi-squared tests, unpaired t-tests, Spearman, and Mann–Whitney U were used to assess the group characteristics and proportions. The relationship between the risk of fracture and the difference of Cobb’s angle of thoracolumbar segment (DCTL) was evaluated by logistic regression. DCTL was calculated by subtracting thoracolumbar Cobb’s angles (TLCobb’s) from thoracolumbar hyperflexion Cobb’s angles (TLHCobb’s). Quantitative computed tomography (QCT) values and spinal osteoarthritis (OA) of postmenopausal women in the two groups were compared.


102 of 312 were enrolled to the study group of postmenopausal women with the fracture, and 210 of 312 were enrolled to the control group of postmenopausal women without the fracture. There were significant differences in QCT values and spinal OA including disc narrowing (DSN) and osteophytes (OPH) between the two groups (p < 0.001 for all four). The risk of thoracolumbar compression fractures in the postmenopausal women with DCTL ≤ 8.7° was 9.95 times higher (95% CI 5.31–18.64) than that with > 8.7° after adjusting for age, BMI, and QCT values.


Low DCTL may be a risk factor of thoracolumbar compression fractures in postmenopausal women, and a DCTL ≤ 8.7° can be a threshold value of thoracolumbar compression fractures.


Osteoporotic fracture is a common complication that imposes an enormous medical, psychological, social, and economic cost on individuals, families, and society [1,2,3,4]. With appropriate screening, healthcare providers can implement effective interventions before fractures occur and ultimately improve quality of life, as well as help curb tremendous osteoporosis-related costs. On the other hand, thoracolumbar spine, especially on the range from T11 to L2, has the highest incidence of osteoporotic fracture, on which there are most of the fractures in postmenopausal women [4,5,6]. Thus, it may be cost-effective to screen from the thoracolumbar spine in postmenopausal women.

Thoracolumbar flexion dysfunction, as a dysfunction of the center connecting thoracic spine and lumbar spine, plays a prominent role in spinal dysfunction [7]. People's work and daily life are usually inseparable from the flexion of the spine, especially forward flexion, such as picking up an apple on the ground. Once there is spinal flexion dysfunction, the body will become stiff, which will not only affect the movement ability, but also affect the cushioning capacity against external impact, such as spinal fracture in patients with ankylosing spondylitis [8]. Degeneration of intervertebral disc may be a precipitating risk factor for spinal flexion dysfunctions, while intervertebral disc joins in limiting the range of spinal motion of flexion and extension [9,10,11]. With aging, changes in the tissue properties of the intervertebral disc, including dehydration and reorganization of the nucleus pulposus and fragmentation and stiffening of the annulus fibrosus, markedly alter the mechanics of load transfer in the spine [12,13,14,15]. The degeneration of intervertebral disc may be one of the contributors of the relationship suggested by Schneider, al. that disc narrowing is significantly associated with an increased risk of vertebral fracture [16]. Thus, in the process of increasing the risk of vertebral compression fracture, the degeneration of intervertebral disc may also contribute to the formation of spinal flexion dysfunction.

It has been accepted that flexion posture is more common in low-energy spinal injuries than neutral posture [17, 18]. In most low-energy injuries, such as fall, the spine tends to move from neutral posture to flexion posture or hyperflexion posture because of the joint action of upper body, hip, and the center of gravity (Fig. 1) [18]. In addition, thoracolumbar spine, as a junction of lumbar vertebrae and thoracic vertebrae, is a weak position of mechanical structure [19, 20]. As a result, vertebrae from T11 to L2 have the highest incidence of deformity and fracture in postmenopausal women [21,22,23]. In a case of low-energy fall, the spinal transition from neutral posture to hyperflexion posture may induce the increased risk of compression fractures at the vertebrae from T11 to L2. Therefore, thoracolumbar hyperflexion position in X-ray, as a same posture of low-energy spinal injuries, may provide a way of investigating the risk of thoracolumbar vertebral compression fracture.

Fig. 1
figure 1

Neutral spinal posture is in static equilibrium (a). Dynamic flexion postures (ad) with low-speed compression show the process of low-energy vertebral fracture

The purpose of the present study was to evaluate the difference of Cobb’s angle of thoracolumbar segment (DCTL) from thoracolumbar hyperflexion Cobb’s angle (TLHCobb’s) to thoracolumbar neutral Cobb’s angle (TLCobb’s), and to ascertain the relationship between the risk of thoracolumbar compression fractures and DCTL, as well as determine a possible clinic threshold value of DCTL.

Materials and methods

This study protocol was approved by the Human Ethics Committee of Chinese PLA General Hospital. All participants were informed about the study, and they signed a written consent for inclusion.

This study was a single-center retrospective study. The records of postmenopausal women treated at Chinese PLA General Hospital from July 2018 to June 2020 were surveyed. The study group inclusion criteria were (1) one-level osteoporotic vertebral compression fracture situated from T11 to L2, (2) treatment with vertebroplasty (3) complete radiographic data including lateral hyperflexion lumbar X-ray (Fig. 2). The exclusion criteria were (1) lumbar disc herniation, spinal instability and spinal spondylolisthesis, (2) spinal tumors, (3) spinal scoliosis (coronal Cobb’ angle > 10°), and (4) a previous history of osteoporotic fracture or vertebral augmentation operation. The control group was age-matched (unpaired t-test, p > 0.05) postmenopausal women with healthy spine, excluding (1) lumbar disc herniation, spinal instability and spinal spondylolisthesis, (2) spinal tumors, ankylosing spondylitis, inflammatory spondylitis, congenital spinal deformity, spinal scoliosis (Cobb’s angle > 10°), and (3) a previous history of osteoporotic fracture (4) incomplete radiographic data.

Fig. 2
figure 2

The radiographic data included lumbar anteroposterior (a), lateral (b) and lateral hyperflexion (c) lumbar X-rays

Age, height, weight, body mass index (BMI; kg/m2), and other information of the two groups were evaluated. Posterior-anterior, lateral, and hyperflexion radiographic data of lumbar spine were collected. Data on fracture site, Cobb’s angle, and vertebral QCT value from T11 to L2 were recorded.

On a lateral X-ray, TLHCobb’s and TLCobb’s were measured by drawing two lines, respectively, through the superior endplate of T11 and the inferior endplate of L2, respectively, on the hyperflexion and neutral positions of lumbar spine (Fig. 3). The Cobb’s angle was defined as “ + ”, while spine was kyphosis, and “ -” while lordosis, accordingly. The TLCobb’s in study group was assessed by excluding the contributions of fracture-and-operation of fractured vertebra according to Tian's suggestion, as following [24].

Fig. 3
figure 3

DCTL was the difference of the Cobb’s angle from T11 to L2 between hyperflexion position (b) and neutral position (a) in lateral X-ray

Fig. 4
figure 4

The region of interest (ROI) in this study was defined as the largest volume of oval cylinder in the middle of vertebral body in sagittal (a), coronal (b) and axial (c) positions to reduce the effect of hyperplasia and sclerosis in vertebral body.

Fig. 5
figure 5

The study group consisted of postmenopausal patients with vertebral compression fracture at T11 in 16 (15.6%), T12 in 32 (31.3%), L1 in 37 (36.5%), and L2 in 17 (16.7%)

Fig. 6
figure 6

Receiver operating characteristic (ROC) analyses. ROC analysis to identify the threshold value of DCTL, TLHCobb’s and TLCobb’s. DCTLs of 8.7°, 7.5° and 9.2° were determined using the ROC curve of reciprocal DCTL and Youden’s index. The three lines showed the differences among DCTL, TLHCobb’s and TLCobb’s (a). Reciprocal DCTL line presented the higher accuracy of detection than TLHCobb’s and TLCobb’s lines (b, c and d), and a threshold value of 8.7° with a sensitivity of 78. 4%, a specificity of 74.3%, and an AUC of 0.783 (95% CI of 0.613–0.953)

TLCobb’s = postoperative TLCobb’s − (postoperative Cobb’s angle of fractured vertebra − mean value of the Cobb’s angle of non-fractured vertebrae at the same level of fractured vertebra in the study group).

DCTL was calculated by subtracting TLCobb’s from TLHCobb’s.

The maximal value of cancellous region was drawn in the middle of the vertebral body (Fig. 4). The mean value of QCT of two vertebrae L1 and L2 was calculated [25]. QCT value of fractured vertebrae was obtained from calculating the half of the sum of QCT value of the two adjacent vertebrae of the fractured vertebra, according to Soliman’s suggestion [26]. BMD was classified as normal (BMD > 120 mg/cm3), osteopenia (80–120 mg/cm3), and osteoporosis (BMD < 80 mg/cm3) according to the criteria of the World Health Organization and the American College of Radiology (ACR). BMD was measured using a QCTPRO2.0 workstation (Mindways Software Inc., Austin, TX, USA) and quantitative computed tomography (QCT) scans in a 16-slice spiral CT scanner (GE Discovery CT750 HD) with the following parameters: 120 kV, 125 mA, pitch 0.985, SFOV 500 mm, aperture 1.25 mm, and table height 780 mm.

On the lateral radiographs, spinal osteoarthritis (OA) including disc narrowing (DSN) and osteophytes (OPH) was used to evaluate lumbar degeneration according to the suggestion of Lane, Sornay-Rendu et al. [16, 27]. Then, fourpoint scale: normal (0), mild (1), moderate (2), or severe (3) was used to evaluate DSN and OPH. Spinal osteoarthritis (OA) was defined as Grade 0 if both scores were normal; the Grade 1 with scores mild OPH or DSN; the Grade 2 with scores moderate or severe DSN or OPH. The interobserver reproducibility [k (95% CI)] assessed on radiographs by two trained radiologist was 0.85 (95% CI 0.68–0.96) and 0.68 (95% CI 0.39–0.89) at the lumbar spine for DSN and OPH scores, respectively.

For statistical analyses, data were analyzed using SPSS version 26 (IBM, Chicago, IL, USA). All variables were tested for normal distribution with the Kolmogorov–Smirnov test, and data were considered normally distributed if p > 0.05. The total data showed a nonnormal distribution (p < 0.05). Descriptive statistics for continuous variables were expressed as means and standard deviations. Differences in age, height, BMI, QCT values, and Cobb’s angles between the two groups were assessed using Chi-squared and unpaired t-tests. Differences in spinal OA, DSN, and OPH between the two groups were assessed with Mann–Whitney U. Correlation analysis between DSN and DCTL was assessed with Spearman. Statistical tests for trend by increasing number of prevalent fractures were performed by including an ordinal variable for mild, moderate, and severe DCTLs, in regression models. Association between number of prevalent fractures and DCTLs was evaluated by including an reciprocal value to DCTL in the logistic regression model. Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated after adjusting for age, BMI, and QCT values. The threshold value of DCTL was determined by a receiver operating characteristic (ROC) curve and Youden’s index.


A total of 115 postmenopausal women with vertebral compression fracture were selected according to the inclusion criteria, of which 102 postmenopausal women were included in the study group per the exclusion criteria. There were 16 T11 (15.6%), 32 T12 (31.3%), 37 L1 (36.5%), and 17 L2 (16.7%) compression fractures (Fig. 5). Of the 234 postmenopausal women without vertebral compression fractures, 210 postmenopausal women with healthy spine were included in the control group according to the exclusion criteria.

Despite the lack of differences in age, height, BMI, and the average vertebra Cobb’s angle in T11–L2 between the two groups (Table 1, p > 0.05), the QCT values in the study group were lower than those in the control group (Table 2, p < 0.001).

Table 1 Demographic and clinic Characteristics of postmenopausal women in study and control group (n = 312)
Table 2 Comparisons of thoracolumbar QCT and Cobb’s angle between Groups (n = 312)

Spinal OA Grade 1, 2 in the study group was significantly more prevalent than that in the control group, with OR = 1.43 (95% CI 0.74–2.78). DSN was found to be different between the two groups with OR = 2.34 (95% CI 1.38–4.00), and OPH was different from the study group to the control group with OR = 0.57 (95% CI 0.34–0.97) (Table 3).

Table 3 Comparisons of lumbar OA between groups (n = 312)

The Cobb’s angles of thoracolumbar spine were significantly different between the study and control groups after adjusting for age, BMI, and QCT values (Table 4).

Table 4 Comparisons of thoracolumbar Cobb’s angles between subgroups (n = 215)

Prevalent number of vertebral compression fractures was found to be significantly associated with DCTL. The threshold value 8.7°of DCTL was determined by the ROC curve and Youden’s index (Fig. 6), with a sensitivity of 78. 4%, a specificity of 74.3%, an AUC of 0.783 (95% CI 0.613–0.953), and OR = 9.95 (95% CI 5.31–18.64). DCTL were classified into mild subgroup with DCTL ≥ 9.2°, moderate subgroup with DCTL from 9.2° to 7.5°, and severe subgroup with DCTL ≤ 7.5° (Table 5).

Table 5 Characteristics of subgroups by DCTL (n = 215)

The fracture in both the moderate subgroup and the severe subgroup was significantly more prevalent than that in the mild subgroup, with OR = 3.84 (95% CI 1.80–8.20) and OR = 16.94 (95% CI 7.40–38.77), respectively.


Osteoporotic fractures are very common in postmenopausal women. Prevalence of the fracture reached 9.9% in a 9-year follow-up study [28]. Currently, the medical management for osteoporotic fractures in postmenopausal women focuses on how to prevent the occurrence of fractures [29, 30]. It has been accepted in previous studies that age, gender, low body mass index, previous fragile fracture, history of hip fracture in parents, glucocorticoid treatment, smoking history, excessive drinking, etiology of secondary osteoporosis and excessive spinal kyphosis are the long-term risk factors of osteoporotic fracture [24, 31,32,33,34]. However, few studies have noted the association of changes in spinal posture with the risk of fracture in osteoporotic spinal fractures. In our study, we found that the spine of most patients changed from neutral position to flexion position during low-energy spinal injury, as shown in Fig. 5. The findings suggested that this posture change during spinal injury may be a factor contributing to the increased risk of vertebral compression fracture in postmenopausal women.

Van der Jagt Willems et al. suggested that the elderly with thoracic hyperflexion posture are likely to fall in the next year [35]. Hyperflexion posture indicates that the ability of pace, balance and adjustment is reduced [36, 37]. Some studies shown that age-related flexion posture accelerates the degeneration of intervertebral disc [14, 38]. Due to the transformation of intervertebral disc from "liquid" to "solid," especially the anterior fibrous ring of intervertebral disc, the function of spinal physiological flexion and extension decreases [10, 12, 15]. Therefore, the dysfunction of spinal flexion and extension (We defined the decrease in the range of Cobb's angle from neutral position to flexion position as spinal flexion dysfunction) may accompany with the increased risk of falls in the elderly. On the other hand, the degeneration of intervertebral disc significantly changes the mechanical transmission mechanism of spine and changes the stress distribution of vertebral body, especially increases the stress in the anterior part of vertebral body [13, 15, 39]. These changes may lead to the decrease in disc cushioning capacity. As a result, the reduction in spinal cushioning capacity in low-energy injury may accompany with spinal flexion dysfunction. According to the above two reasons, spinal flexion dysfunction may increase the risk of vertebral compression fracture. In this study, it was found that thoracolumbar flexion dysfunction was significantly related with the risk of thoracolumbar vertebral compression fracture, as shown in Fig. 5 and Table 5, by which that conclusion was supported. Normally, hyperkyphotic posture involves the decreased motion of spine either as extension movement or as flexion movement from neutral position. In the present study, DCTL was found to decrease from 10.08° to 8.59° and to 5.58° in Table 5. In addition, DCTL was found in an decreasing trend while number of prevalent vertebral compression fractures was found in an increasing trend from 16 of 76 women (21.05%) to 29 of 67 (43.28%) and to 57 of 72 (79.17%). Therefore, if postmenopausal women with DCTL ≤ 8.7° (as a indicator of high risk of vertebral compression fractures) are found, necessary intervenes against future fractures can be expected.

The decrease in intervertebral disc height or DSN may increase spinal flexion dysfunction. Two cross-sectional and 11-year-followup prospective studies shown that DSN increases the risk of future vertebral fractures in postmenopausal women [16, 40]. The study presented that the DSN score of lumbar spine and thoracic spine (one item of the spinal OA grading scale) was related to vertebral fracture. Our study also showed that there was significant difference in lumbar DSN score between the two groups (p < 0.001). The relationship between DSN and DCTL was found with r = 0.893 (p < 0.001), and the fracture risk of patients with DSN was 2.34 times higher than that of patients without DSN.

Previous studies have shown that low BMD increases the risk of future fractures [41, 42]. In this study, there was a significant difference in BMD between the study group and the control group, with the difference reaching 20 mg/cm3. This result reach an agreement with the concept that low BMD leads to the increased risk of vertebral fracture. On the other hand, a prospective study of the Bone Microarchitecture International Consortium showed that microstructure defects in cortical and cancellous bone of the distal radius and distal tibia were independent predictors of fractures in the elderly [43]. In the present study, varying degrees of cavitation in the anterior part of thoracolumbar vertebral body, changes in trabecular structure, and decreased QCT values, around 1/3 to 1/4 lower than the middle or rear of the vertebral body were found in most subjects in the study group. Whether the changes of these bone microstructure can independently predict fractures in the elderly remains to be further explored.

Some caution is advised in the interpretation of these data. This study was conducted in postmenopausal women treated in a comprehensive tertiary hospital. The generalizability of this information to other populations is unknown. First, the small sample size may not be enough to evaluate the association between thoracolumbar vertebral compression fractures and DCTL. In the next step, multi-center study will be conducted to clarify the association. Second, this study focused on the thoracolumbar fracture in postmenopausal women, without including the other parts (lumbar spine, thoratic spine, humerus, hip, and wrist). Therefore, the study is limited. Third, 97 of 210 women in the control group were not included because of adjusting age, BMI, and QCT values; this may constitute a source of bias. Fourth, the association between the microstructure differences of anterior vertebral body and vertebral fractures between the study group and the control group could not be assessed in this study, which will be further explored in the following studies.


Thoracolumbar vertebral compression fractures are significantly associated with DCTL in postmenopausal women. The risk of the fracture in postmenopausal women with DCTL ≤ 8.7° was 9.95 times higher than that with DCTL > 8.7°. Therefore, a DCTL ≤ 8.7° can be used as a high-risk marker of thoracolumbar vertebral compression fractures in postmenopausal women. While DCTL is not widely available, our findings may prompt expansion of the clinical use of DCTL and provide the clue to develop new models for fracture prediction.

Availability of data and materials

The datasets generated and/or analyzed in the current study are not publicly available due to the confidentiality policy of military hospital but are available from the corresponding author on reasonable request.


  1. 1.

    Martin AR, Sornay-Rendu E, Chandler JM, Duboeuf F, Girman CJ, Delmas PD. The impact of osteoporosis on quality-of-life: the OFELY cohort. Bone. 2002;31:32–6.

    CAS  Article  PubMed  Google Scholar 

  2. 2.

    Gold DT. The clinical impact of vertebral fractures: quality of life in women with osteoporosis. Bone. 1996;18:185s–9s.

    CAS  Article  PubMed  Google Scholar 

  3. 3.

    Burge R, Dawson-Hughes B, Solomon DH, Wong JB, King A, Tosteson A. Incidence and economic burden of osteoporosis-related fractures in the United States, 2005–2025. J Bone Miner Res. 2007;22:465–75.

    Article  PubMed  Google Scholar 

  4. 4.

    Dempster DW. Osteoporosis and the burden of osteoporosis-related fractures. Am J Manag Care. 2011;17(Suppl 6):S164-169.

    PubMed  Google Scholar 

  5. 5.

    Khosla S, Hofbauer LC. Osteoporosis treatment: recent developments and ongoing challenges. Lancet Diabetes Endocrinol. 2017;5:898–907.

    Article  PubMed  PubMed Central  Google Scholar 

  6. 6.

    Wood KB, Li W, Lebl DR, Ploumis A. Management of thoracolumbar spine fractures. Spine J. 2014;14:145–64.

    Article  PubMed  Google Scholar 

  7. 7.

    Resnick DK, Weller SJ, Benzel EC. Biomechanics of the thoracolumbar spine. Neurosurg Clin N Am. 1997;8:455–69.

    CAS  Article  Google Scholar 

  8. 8.

    Braun J, Sieper J. Ankylosing spondylitis. Lancet. 2007;369:1379–90.

    Article  PubMed  Google Scholar 

  9. 9.

    Dai L. The relationship between vertebral body deformity and disc degeneration in lumbar spine of the senile. Eur Spine J. 1998;7:40–4.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  10. 10.

    Oner FC, van der Rijt RR, Ramos LM, Dhert WJ, Verbout AJ. Changes in the disc space after fractures of the thoracolumbar spine. J Bone Joint Surg Br. 1998;80:833–9.

    CAS  Article  PubMed  Google Scholar 

  11. 11.

    Goh S, Price RI, Leedman PJ, Singer KP. The relative influence of vertebral body and intervertebral disc shape on thoracic kyphosis. Clin Biomech (Bristol, Avon). 1999;14:439–48.

    CAS  Article  Google Scholar 

  12. 12.

    Schneider DL, von Mühlen D, Barrett-Connor E, Sartoris DJ. Kyphosis does not equal vertebral fractures: the Rancho Bernardo study. J Rheumatol. 2004;31:747–52.

    PubMed  Google Scholar 

  13. 13.

    Ferguson SJ, Steffen T. Biomechanics of the aging spine. Eur Spine J. 2003;12(Suppl 2):S97-s103.

    Article  PubMed  PubMed Central  Google Scholar 

  14. 14.

    Shirado O, Kaneda K, Tadano S, Ishikawa H, McAfee PC, Warden KE. Influence of disc degeneration on mechanism of thoracolumbar burst fractures. Spine (Phila Pa 1976). 1992;17:286–92.

    CAS  Article  Google Scholar 

  15. 15.

    Iatridis JC, Setton LA, Weidenbaum M, Mow VC. Alterations in the mechanical behavior of the human lumbar nucleus pulposus with degeneration and aging. J Orthop Res. 1997;15:318–22.

    CAS  Article  PubMed  Google Scholar 

  16. 16.

    Sornay-Rendu E, Munoz F, Duboeuf F, Delmas PD. Disc space narrowing is associated with an increased vertebral fracture risk in postmenopausal women: the OFELY Study. J Bone Miner Res. 2004;19:1994–9.

    Article  PubMed  Google Scholar 

  17. 17.

    Vlaeyen E, Deschodt M, Debard G, Dejaeger E, Boonen S, Goedemé T, Vanrumste B, Milisen K. Fall incidents unraveled: a series of 26 video-based real-life fall events in three frail older persons. BMC Geriatr. 2013;13:103.

    Article  PubMed  PubMed Central  Google Scholar 

  18. 18.

    Robinovitch SN, Feldman F, Yang Y, Schonnop R, Leung PM, Sarraf T, Sims-Gould J, Loughin M. Video capture of the circumstances of falls in elderly people residing in long-term care: an observational study. Lancet. 2013;381:47–54.

    Article  PubMed  Google Scholar 

  19. 19.

    Meek S. Lesson of the week: fractures of the thoracolumbar spine in major trauma patients. BMJ. 1998;317:1442–3.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  20. 20.

    McGlone R. Fractures of the thoracolumbar spine in major trauma patients. ATLS manual does recognise importance of distracting injuries. BMJ. 1999;318:1287–8.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  21. 21.

    Kilincer C, Kabayel DD, Cagli B, Unlu E, Wicki B, Ozdemir F. Frequency, distribution and severity of prevalent osteoporotic vertebral fractures in postmenopausal women. Turk Neurosurg. 2013;23:476–83.

    Article  PubMed  Google Scholar 

  22. 22.

    Ismail AA, Cooper C, Felsenberg D, Varlow J, Kanis JA, Silman AJ, O’Neill TW. Number and type of vertebral deformities: epidemiological characteristics and relation to back pain and height loss. European Vertebral Osteoporosis Study Group. Osteoporos Int. 1999;9:206–13.

    CAS  Article  PubMed  Google Scholar 

  23. 23.

    Geusens P, Kendler DL, Fahrleitner-Pammer A, López-Romero P, Marin F. Distribution of prevalent and incident vertebral fractures and their association with bone mineral density in postmenopausal women in the teriparatide versus risedronate VERO clinical trial. Calcif Tissue Int. 2020;106:646–54.

    CAS  Article  PubMed  Google Scholar 

  24. 24.

    Wei Y, Tian W, Zhang GL, Lv YW, Cui GY. Thoracolumbar kyphosis is associated with compressive vertebral fracture in postmenopausal women. Osteoporos Int. 2017;28:1925–9.

    CAS  Article  PubMed  Google Scholar 

  25. 25.

    Engelke K, Adams JE, Armbrecht G, Augat P, Bogado CE, Bouxsein ML, Felsenberg D, Ito M, Prevrhal S, Hans DB, Lewiecki EM. Clinical use of quantitative computed tomography and peripheral quantitative computed tomography in the management of osteoporosis in adults: the 2007 ISCD Official Positions. J Clin Densitom. 2008;11:123–62.

    Article  PubMed  Google Scholar 

  26. 26.

    Soliman HAG, Mac-Thiong J-M, Levasseur A, Parent S, Petit Y. Assessment of regional bone density in fractured vertebrae using quantitative computed tomography. Asian Spine Journal. 2017;11:57–62.

    Article  PubMed  PubMed Central  Google Scholar 

  27. 27.

    Lane NE, Nevitt MC, Genant HK, Hochberg MC. Reliability of new indices of radiographic osteoarthritis of the hand and hip and lumbar disc degeneration. J Rheumatol. 1993;20:1911–8.

    CAS  PubMed  Google Scholar 

  28. 28.

    Crandall CJ, Larson J, Wright NC, Laddu D, Stefanick ML, Kaunitz AM, Watts NB, Wactawski-Wende J, Womack CR, Johnson KC, Carbone LD, Jackson RD, Ensrud KE. Serial bone density measurement and incident fracture risk discrimination in postmenopausal women. JAMA Intern Med. 2020;180:1232–40.

    Article  PubMed  PubMed Central  Google Scholar 

  29. 29.

    Black DM, Geiger EJ, Eastell R, Vittinghoff E, Li BH, Ryan DS, Dell RM, Adams AL. Atypical femur fracture risk versus fragility fracture prevention with bisphosphonates. N Engl J Med. 2020;383:743–53.

    CAS  Article  PubMed  Google Scholar 

  30. 30.

    Weaver CM, Alexander DD, Boushey CJ, Dawson-Hughes B, Lappe JM, LeBoff MS, Liu S, Looker AC, Wallace TC, Wang DD. Calcium plus vitamin D supplementation and risk of fractures: an updated meta-analysis from the National Osteoporosis Foundation. Osteoporos Int. 2016;27:367–76.

    CAS  Article  PubMed  Google Scholar 

  31. 31.

    Kanis JA, Cooper C, Rizzoli R, Reginster JY. European guidance for the diagnosis and management of osteoporosis in postmenopausal women. Osteoporos Int. 2019;30:3–44.

    CAS  Article  PubMed  Google Scholar 

  32. 32.

    Huang MH, Barrett-Connor E, Greendale GA, Kado DM. Hyperkyphotic posture and risk of future osteoporotic fractures: the Rancho Bernardo study. J Bone Miner Res. 2006;21:419–23.

    Article  PubMed  Google Scholar 

  33. 33.

    Kado DM, Miller-Martinez D, Lui LY, Cawthon P, Katzman WB, Hillier TA, Fink HA, Ensrud KE. Hyperkyphosis, kyphosis progression, and risk of non-spine fractures in older community dwelling women: the study of osteoporotic fractures (SOF). J Bone Miner Res. 2014;29:2210–6.

    Article  PubMed  Google Scholar 

  34. 34.

    Kanis JA. Diagnosis of osteoporosis and assessment of fracture risk. Lancet. 2002;359:1929–36.

    Article  PubMed  Google Scholar 

  35. 35.

    van der Jagt-Willems HC, de Groot MH, van Campen JP, Lamoth CJ, Lems WF. Associations between vertebral fractures, increased thoracic kyphosis, a flexed posture and falls in older adults: a prospective cohort study. BMC Geriatr. 2015;15:34.

    Article  PubMed  PubMed Central  Google Scholar 

  36. 36.

    Katzman WB, Huang MH, Lane NE, Ensrud KE, Kado DM. Kyphosis and decline in physical function over 15 years in older community-dwelling women: the Study of Osteoporotic Fractures. J Gerontol A Biol Sci Med Sci. 2013;68:976–83.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  37. 37.

    Lynn SG, Sinaki M, Westerlind KC. Balance characteristics of persons with osteoporosis. Arch Phys Med Rehabil. 1997;78:273–7.

    CAS  Article  PubMed  Google Scholar 

  38. 38.

    Cai XY, Sun MS, Huang YP, Liu ZX, Liu CJ, Du CF, Yang Q. Biomechanical effect of L(4) -L(5) intervertebral disc degeneration on the lower lumbar spine: a finite element study. Orthop Surg. 2020;12:917–30.

    Article  PubMed  PubMed Central  Google Scholar 

  39. 39.

    Pope MH. Biomechanics of the lumbar spine. Ann Med. 1989;21:347–51.

    CAS  Article  PubMed  Google Scholar 

  40. 40.

    Sornay-Rendu E, Allard C, Munoz F, Duboeuf F, Delmas PD. Disc space narrowing as a new risk factor for vertebral fracture: the OFELY study. Arthritis Rheum. 2006;54:1262–9.

    Article  PubMed  Google Scholar 

  41. 41.

    Fuggle NR, Curtis EM, Ward KA, Harvey NC, Dennison EM, Cooper C. Fracture prediction, imaging and screening in osteoporosis. Nat Rev Endocrinol. 2019;15:535–47.

    Article  PubMed  Google Scholar 

  42. 42.

    Ensrud KE, Crandall CJ. Osteoporosis. Ann Intern Med. 2017;167:17–32.

    Article  Google Scholar 

  43. 43.

    Samelson EJ, Broe KE, Xu H, Yang L, Boyd S, Biver E, Szulc P, Adachi J, Amin S, Atkinson E, Berger C, Burt L, Chapurlat R, Chevalley T, Ferrari S, Goltzman D, Hanley DA, Hannan MT, Khosla S, Liu CT, Lorentzon M, Mellstrom D, Merle B, Nethander M, Rizzoli R, Sornay-Rendu E, Van Rietbergen B, Sundh D, Wong AKO, Ohlsson C, Demissie S, Kiel DP, Bouxsein ML. Cortical and trabecular bone microarchitecture as an independent predictor of incident fracture risk in older women and men in the Bone Microarchitecture International Consortium (BoMIC): a prospective study. Lancet Diabetes Endocrinol. 2019;7:34–43.

    Article  PubMed  Google Scholar 

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We appreciated Shuang Lu for QCT technical support for the manuscript.


This work was supported by the National Natural Science Foundation of China (Grant No. 81972128), and Medical big data and artificial intelligence of Chinese PLA General Hospital Foundation (2019MBD-022).

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Zhirong Zheng, Liu Chao, Zhang Zhen, Meng Gao, Chengqi Jia and Wenhao Hu analyzed and interpreted the patient data. Zhirong Zheng, Wenhao Hu and Xuesong Zhang were three major contributors in writing the manuscript. All authors read and approved the final manuscript. The contributions of Zhirong Zheng, Chao Liu, Zhang Zhen, Wenhao Hu, Meng Gao and Chengqi Jia are equal for the paper.

Corresponding author

Correspondence to Xuesong Zhang.

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The experimental protocol was established, according to the ethical guidelines of the Declaration of Helsinki and was approved by the Human Ethics Committee of Chinese PLA General Hospital. Written informed consent was obtained from individual or guardian participants.

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Competing interests

Zhirong Zheng, Chao Liu, Zhang Zhen, Wenhao Hu, Meng Gao, Chengqi Jia and Xuesong Zhang declare that they have no conflict of interest.

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Zheng, Z., Liu, C., Zhang, Z. et al. Thoracolumbar flexion dysfunction and thoracolumbar compression fracture in postmenopausal women: a single-center retrospective study. J Orthop Surg Res 16, 709 (2021).

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  • Thoracolumbar flexion dysfunction
  • Vertebral fracture
  • Osteoporosis
  • Postmenopausal women
  • Quantitative computed tomography