| Home | E-Submission | Sitemap | Editorial Office |  
top_img
Journal of Korean Neurosurgical Society > Volume 69(1); 2026 > Article
Hyun, Han, and Kim: Lordosis Distribution Index in an Asymptomatic Elderly Population : The Role of Lower and Upper Lumbar Lordosis According to Individual Pelvic Incidence and Roussouly Type

Abstract

Objective

This study aimed to elucidate the normative upper lumbar lordosis (ULL) and lower LL (LLL) based on individual pelvic and spinal morphology within an asymptomatic elderly population.

Methods

Whole spine standing radiographs were obtained from asymptomatic elderly populations who had not undergone previous spinal surgery. The LL, LLL and ULL were measured. Pelvic incidence (PI), upper lumbar distribution index (ULDI), and lower LDI were calculated. Pearson correlation and linear regression analyses were performed, and the mean value for each parameter was obtained according to PI subgroup (PI <40°, 40°≤ PI <50°, 50°≤ PI <60°, and 60°≤ PI) and “theoretical” Roussouly type.

Results

Overall, data from 150 male were retrospectively collected in the study, with an average age of 64.1±6.4 years. The mean height was 167.0±5.5 cm, weight was 67.3±9.8 kg, and body mass index was 24.1±3.1 kg/m2. The average LL was -57.5°±9.0°, LLL was -39.7°±6.8°, and PI was 48.6°±8.6°. Pelvic tilt (PT) tended to increase with ULL, PI-LL, PI-ULL, PI-LLL, and ULDI and decrease with LLL and LDI. However, PT was not significantly related to LL. The mean ULDI and LDI were 30.4%±11.7% and 69.7%±11.7%, respectively. The differences between PI and LL (PI-LL) and between PI and LLL (PI-LLL) were -8.9°±8.0° and 9.0°±9.3°, respectively. As PI increased from low (<40°) to high (≥60°), ULDI increased significantly from 25.9% to 38.9%, while LDI decreased from 74.1% to 61.1%. Additionally, LDI varied by Roussouly type, ranging from 62.6% to 81.0%. The LDIs of Roussouly types 1 and 4 were significantly higher and lower, respectively, than those of types 2 and 3 (p<0.001).

Conclusion

As PI and Roussouly type increase, the contribution of ULL to overall LL rises, reaching up to 38.9%. Conversely, LLL substantially impacts LL in patients with a low PI and those classified as Roussouly type 1. PT is significantly related to LLL instead of LL according to PI.

INTRODUCTION

Roussouly et al. [22] reported a spinal morphological classification based on sacral slope (SS), as well as the location of the apex and inflection point in the thoracic and lumbar spine. They posited that SS is more closely related to lumbar lordosis (LL) than other parameters, and accordingly, they classified morphological LL into subgroups based on the magnitude of SS. Their research broadened our understanding of LL and has become widely utilized in spinal realignment surgery.
According to Legaye and Duval-Beaupère [16], LL is more closely proportional to SS than to pelvic incidence (PI). However, SS varies with the relationship between PI and pelvic tilt (PT), and PT also changes based on posture, such as standing, sitting, or leaning. Consequently, SS is not a suitable representation of individual spinopelvic morphology. In contrast, consensus supports the characterization of PI as a constant value for an individual in most situations [19,24,25], and it is a critical determinant of sagittal balance regulation [17]. Thus, to better understand and classify sagittal alignment, LL should be described in relation to PI rather than SS. In this context, previous investigators have proposed a theoretical Roussouly classification based on PI values and a socalled current Roussouly classification based on SS [20].
Many studies have discussed the close relationship between LL and PI [2,5,10,12,13,16,17]. From another perspective, LL can be categorized into two segments based on location : upper LL (ULL) and lower LL (LLL). The ratio of LLL to total LL is known as the lordosis distribution index (LDI) [26,27]. Research indicates that LDI is key to determining surgical outcomes. Yilgor et al. [26] introduced the Global alignment and proportion (GAP) score, highlighting the importance of LDI to prevent mechanical failure after surgery. However, limited research has been conducted on these parameters in relation to PI and Roussouly type within the normative population. We examined the normal LL and LLL in an asymptomatic elderly population [7]. Utilizing previously collected data, we aimed to explore the associations between PI/Roussouly type, ULL/LLL, and LDI in asymptomatic adult populations.

MATERIALS AND METHODS

Data source and inclusion/exclusion criteria

The Institutional Review Board (IRB) of Veterans Health Service Medical Center approval was obtained prior to this study (IRB 2024-09-020-001). We retrospectively collected data from asymptomatic Korean adults between March 2007 and September 2010. The study was limited to male populations, as the participants were drawn from those visiting the Veterans Health Service Medical Center. Regarding inclusion criteria, participants had to be over 50 years old, have no spinal pathology, and have no history of spinal trauma, surgery, or disorders affecting the area below the hip. Additionally, individuals with a history of neck, back, or lower limb pain were excluded. A total of 183 male populations were initially screened. However, 33 were subsequently excluded for various reasons : seven due to scoliosis greater than 10° in the coronal plane, one due to pelvic obliquity from leg length discrepancy, eight due to the presence of wedging vertebrae, nine due to lumbar disc space narrowing, four because of bilateral isthmic defects in the lumbosacral region, and four due to the presence of metallic foreign bodies (from traditional acupuncture) in the back muscles. Ultimately, 150 male populations were included in the study.

Radiographic measurements

Standing plain lateral radiographs of the entire spine, including the pelvis, were analyzed in asymptomatic adult male volunteers. The protocol for acquiring these standing plain radiographs followed the methodology described by Horton et al. [6]. The radiographs were stored in a picture archiving and communication system (PACS; Maroview; Marotech, Seoul, Korea) in the Digital Imaging and Communications in Medicine format. Radiographic measurements were performed using the ruler and protractor functions in the Maroview PACS. The Sagittal vertical axis (SVA) was measured using a plumb line from the center of the C7 vertebra (C7PL) to the posterosuperior corner of the S1 upper endplate (UEP). Thoracic kyphosis (TK) was measured between the UEP of T5 and the lower endplate (LEP) of T12, while LL was measured between the T12 LEP and the S1 UEP. LL was also divided into two components : ULL, between the T12 LEP and the L4 UEP; and LLL, between the L4 UEP and the S1 UEP. SS was defined as the angle between the horizontal line and the line along the sacral endplate, while PI represented the angle formed by a line connecting the center of the sacral endplate to the femoral head axis. PT was measured as the angle between the line from the center of the sacral endplate to the bicoxofemoral axis and the C7PL. These sagittal distance and angular parameters were measured by an orthopedic spine surgeon and a spinal neurosurgeon.
The upper lumbar distribution index (ULDI) was calculated as the ratio of ULL to total LL multiplied by 100, while the LLL distribution index, or LDI, was computed as the ratio of LLL to LL multiplied by 100. These indices quantify the proportion of lordosis in the upper and lower arcs, respectively, relative to the entire lumbar curve. The theoretical Roussouly type was determined using methodology previously described by Pizones et al. [20]. Based on their PI values, participants were classified into four theoretical Roussouly types : type 1, PI less than 45° with the apex of the LL below the L4 vertebral body; type 2, PI less than 45° with the apex of the LL above the L4-L5 disc space; type 3, 45°≤ PI <60°; and type 4, PI ≥60°.

Statistical analysis

Intraclass correlation coefficients (ICCs) were calculated to assess the reliability of the measurements, with the following benchmarks : perfect reliability at 1.0, excellent reliability between 0.8 and 0.99, substantial reliability between 0.6 and 0.79, and poor reliability at less than 0.59. The correlations among various sagittal parameters were examined using Pearson correlation coefficients. Pearson correlation and simple linear regression analyses were employed to explore the relationships between these parameters. The mean value for each parameter was calculated according to the PI subgroup (PI <40°, 40°≤ PI <50°, 50°≤ PI <60°, and 60°≤ PI) and the theoretical Roussouly type. A p-value of less than 0.05 was considered to indicate statistical significance. Statistical analyses were performed using SPSS version 22.0 (IBM Corp., Armonk, NY, USA).

RESULTS

Demographic data and measurement reliability

The final cohort for analysis comprised 150 adult male populations, with an average age of 64.1±6.4 years. The participants had a mean height of 167.0±5.5 cm, a weight of 67.3±9.8 kg, and a body mass index of 24.1±3.1 kg/m2 (Table 1). These baseline characteristics did not differ significantly among the subgroups categorized by PI and Roussouly type. All ICCs exceeded 0.8 according to the method of Shrout and Fleiss, demonstrating excellent reliability between measurements.

Sagittal parameters and correlations

The sagittal parameters in this study were as follows. The mean C7 SVA was -0.2±2.8, with 133 instances of C7 SVA ≤4 cm and 17 instances where 4< SVA ≤9 cm. Pelvic parameters included PI of 48.6°±8.6°, SS of 37.3°±6.8°, and PT of 11.3°±6.4°. The sample included 139 participants with PT <20° and 11 participants with 20°< PT ≤30°. TK was 30.0°±8.8°, and LL was 57.5°±9.0°. Within LL, ULL and LLL were 17.9°±8.0° and 39.7°±6.8°, respectively. The ULDI and LDI were 30.4%±11.7% and 69.7%±11.7%, respectively. The differences between PI and LL (PI-LL), PI and LLL (PI-LLL), and PI and ULL (PI-ULL) were -8.9°±8.0°, 9.0°±9.3°, and 30.4°±8.9°, respectively. We observed 148 instances of PI-LL ≤10° and remaining two individuals in which 10°< PI-LL ≤20°. The results of the correlation analysis are presented in Table 2. PI was positively correlated with PT, LL, ULL, LLL, PI-LL, PI-ULL, PI-LLL, and ULDI and negatively correlated with LDI. PT was not significantly related to LL. Furthermore, PT tended to increase with ULL, PI-LL, PI-ULL, PI-LLL, and ULDI and decrease with LLL and LDI. The results of simple linear regression analyses between PT and several parameters are shown in Table 3. All variables except LL were linearly correlated with PT. Among the variables, PI-LL had the highest regression coefficient (β). However, the coefficient of determination (R2) for PI-LLL was as high as 0.554, indicating the accuracy of this method for predicting PT.

ULDI and LDI by PI and roussouly type

As indicated in Table 4, participants were divided into four subgroups based on PI : PI <40°, 40°≤ PI <50°, 50°≤ PI <60°, and 60°≤ PI. We observed changes in various parameters as PI increased. Specifically, as PI rose from low (PI <40°) to high (60°≤PI), the values of PT, LL, ULL, PI-LL, PI-ULL, and PI-LLL increased. Additionally, with an increase in PI, ULDI significantly increased from 25.9%±12.7% to 38.9%±7.1%, while LDI decreased from 74.1%±12.7% to 61.1%±7.1% (Fig. 1). However, mean LLL did not increase beyond 41.7°±6.9° (ranged from 23° to 58°), regardless of PI.
Similarly, as the Roussouly type progressed from type 1 (PI <45°) to type 4 (PI ≥60°), increases were observed in PI, PT, LL, ULL, PI-LLL, and ULDI. The LDIs corresponding to Roussouly type were 81.0%±10.7%, 65.3%±11.0%, 68.0%±10.6%, and 62.6%±8.2%, respectively (Fig. 2). Additionally, as Roussouly type increased, ULDI rose significantly from 19.0%±10.5% to 37.4%±7.7%, while LDI decreased from 81.0%±10.7% to 62.6%±8.2% (Table 5). The LDIs of Roussouly types 1 and 4 were significantly higher and lower, respectively, than those of types 2 and 3 (p<0.001). However, regardless of Roussouly type, mean LLL did not exceed 41.9°±6.6° (ranged from 23° to 58°).

DISCUSSION

LL and LLL

Several studies have identified LL as a key factor in spinal sagittal balance. Initially, research focused on the relationship between LL and PI or SS. Subsequently, studies have explored morphological classification models of LL [4,10,11,16-18,21,23]. Despite this, detailed research on the components of LL—specifically ULL and LLL—remains scarce, although Yilgor and colleagues [26,27] have discussed LLL and used relative LL and LDI to predict postoperative construct failure. In this study, we further investigated parameters potentially associated with ULL or LLL, the constituents of LL. We found that as PI and Roussouly type increase, the contribution of ULL to LL also increases, up to 38.9%. Conversely, LLL substantially impacts LL in patients with a low PI and those classified as Roussouly type 1.

Relationship between LLL and PT

PT is a measure of the extent to which the pelvis tilts backward. Essentially, as LL decreases, PT increases to prevent inclination of the trunk [9]. Furthermore, retroversion of the pelvis leads to hip extension as a compensatory action to balance the body’s center of gravity. When this compensatory capacity is maximized, knee flexion serves as an additional compensatory mechanism [1,3,14,15]. Consequently, if pelvic retroversion occurs, the energy expenditure during gait increases, while the gait distance is shortened.
Few studies have attempted to clarify the relationship between PT and other parameters. While some researches suggest that PT is directly related to PI and that health-related quality of life decreases as PT increases in pathological situations [1,2,8,13,16,17]. Moreover, a previous report demonstrated that changes in PT were associated with changes in LL, indicating that alterations in LL following spine surgery contribute to determining the value of PT [18]. However, the present study found no such relationship between LL and PT. Nevertheless, the relationship between PI-LLL and PT displayed the highest coefficient of determination in a simple linear regression analysis, suggesting that PT is significantly related to LLL according to PI (Table 3). The existence of this relationship in normal asymptomatic populations suggests that greater emphasis should be placed on the correction of LLL when performing lower lumbar fusion under pathological conditions.

Role of ULL and LLL

In the present study, we established normative values for ULL, LLL, ULDI, and LDI based on PI and Roussouly type. We observed that as PI increased, the mean ULDI rose from 25.9%±12.7% to 38.9%±7.1%, while the mean LDI decreased from 74.1%±12.7% to 61.1%±7.1%. In spinal realignment surgery, surgeons must consider restoring the normative LDI for each patient according to their PI and Roussouly type. Nonetheless, our findings indicate that mean value of LLL did not exceed around 42° (ranged from 23° to 58°), regardless of these individual characteristics. It means that the LLL does not increase unlimitedly even in patients with very high PI or Roussouly type 4. Therefore, an appropriate degree of ULL should be added for patients with a high PI or those classified as Roussouly types 2, 3, or 4. Additionally, we found that LDI represents a minimum of 61.1% of the total LL value. When performing spinal fusion, it is thus important to ensure that LDI continues to account for above 61% of LL. Based on notable previous research regarding GAP score, the range for LDI corresponding to alignment is between 50% and 80% [12,13]. The authors also suggested that an LDI exceeding 80% represents a risk factor for mechanical failure following spinal realignment surgery. However, our data revealed that the mean LDI was 81.0%±10.7% in asymptomatic individuals classified as Roussouly type 1. Moreover, we have frequently observed excellent clinical- and radiographic outcomes without any mechanical failure in Roussouly type 1 patients having exceeding 80% LDI after surgery (Fig. 3). Consequently, we propose that the optimal LDI and ULL should be customized based on the individual’s PI and Roussouly type.
This study had several limitations. At first, the study sample was restricted to men due to the demographics of the public veterans’ hospital where the research was conducted. Consequently, the findings may not be directly applicable to females or to younger individuals in terms of sex and lifestyle. Given that spinopelvic alignment and pelvic morphology can differ between males and females, this should be noted as a potential constraint on generalizability. Secondly, the study’s cross-sectional design can restrict its ability to assess changes in spinal alignment or lordosis distribution over time. Longitudinal data would be valuable in understanding how these parameters evolve with aging or how they might relate to the onset of degenerative spinal conditions. In addition, the participants lacked age diversity, with most being of old age. While this reflects the typical patient demographic for spinal disease and is thus relevant for surgical applications and research in elderly patients, we recommend investigating the distributions of ULL, LLL, and LDI values across a broader age range. By exclusively focusing on asymptomatic individuals, the study may overlook subtle or early biomechanical alterations present in those with mild or emerging symptoms. These transitional changes between normal aging and pathological states could be crucial in understanding risk factors for spinal imbalance or surgical failure. Including mildly symptomatic subjects in the future research might help bridge the gap between normative anatomy and clinically relevant spinal deformities. Lastly, this study was fundamentally an “observational” study designed to estimate the average spinopelvic parameters in asymptomatic individuals. Thus, the present data cannot determine the optimal target angle for surgery. Future study by surgical series can elucidate the optimal target angle more clearly.

CONCLUSION

As PI and Roussouly type increase, the contribution of ULL to LL also increases, up to 38.9%. Conversely, LLL substantially impacts LL in patients with a low PI and those classified as Roussouly type 1. PT is significantly related to LLL instead of LL according to PI. The current study shows that the normative ULL and LLL differs according to the patient’s individual PI and Roussouly type.

Notes

Conflicts of interest

Seung-Jae Hyun has been editorial board of JKNS since January 2023. He was not involved in the review process of this original article. No potential conflict of interest relevant to this article was reported.

Informed consent

This type of study does not require informed consent.

Author contributions

Conceptualization : SJH, SH, YBK; Data curation : SJH, SH, YBK; Formal analysis : SJH, SH; Funding acquisition : SJH, YBK; Methodology : SJH, SH; Project administration : SJH; Visualization : SJH, SH; Writing - original draft : SJH, SH; Writing - review & editing : SJH, YBK

Data sharing

None

Preprint

None

Fig. 1.
Bar graph of mean ULDI and LDI by pelvic incidence subgroup. ULDI : upper lumbar distribution index, LDI : lumbar distribution index, PI : pelvic incidence.
jkns-2025-0086f1.jpg
Fig. 2.
Mean value bar graph of the lordosis distribution index (LDI) according to Roussouly type. The LDI for Roussouly type 1 significantly exceeded the LDIs for the other types.
jkns-2025-0086f2.jpg
Fig. 3.
A representative case. A patient who had Roussouly type 1 and low PI experienced excellent clinical- and radiographic outcomes without any mechanical failure after spinal realignment surgery although the postoperative LDI exceeded 80%. F : female, PI : pelvic incidence, LL : lumbar lordosis, LLL : lower lumbar lordosis, LDI : lumbar distribution index.
jkns-2025-0086f3.jpg
Table 1.
Parameters of the elderly population (n=150)
Parameter Value
Age (years) 64.1±6.4
Height (cm) 167.0±5.5
Weight (kg) 67.3±9.8
SVA (cm) -0.2±2.8
 ≤4 cm 133 (88.7)
 4< and ≤9 cm 17 (11.3)
PI (°) 48.6±8.6
SS (°) 37.4±6.8
PT (°) 11.3±6.4
 ≤20° 139 (92.7)
 20°< and ≤30° 11 (7.3)
TK (°) 30.0±8.8
LL (°) 57.5±9.0
ULL (°) 17.9±8.0
LLL (°) 39.7±6.8
ULDI (%) 30.4±11.7
LDI (%) 69.7±11.7
PI-LL (°) -8.9±8.0
 ≤10° 148 (98.7)
 10°< and ≤20° 2 (1.3)
PI-ULL (°) 30.4±8.9
PI-LLL (°) 9.03±9.3

Values are presented as mean±standard deviation or number (%). SVA : sagittal vertical axis, PI : pelvic incidence, SS : sacral slope, PT : pelvic tilt, TK : thoracic kyphosis, LL : lumbar lordosis, ULL : upper lumbar lordosis, LLL : lower lumbar lordosis, ULDI : upper lumbar distribution index, LDI : lumbar distribution index

Table 2.
Pearson’s correlation data
PI PT LL ULL LLL PI-LL PI-ULL PI-LLL ULDI LDI
PI 1 0.626 0.590 0.427 0.288 0.415 0.593 0.718 0.277 -0.277
PT 0.626 1 -0.025 0.167* -0.225 0.704 0.460 0.744 0.206* -0.204*

* p<0.05.

p<0.01.

PI : pelvic incidence, PT : pelvic tilt, LL : lumbar lordosis, ULL : upper lumbar lordosis, LLL : lower lumbar lordosis, ULDI : upper lumbar distribution index, LDI : lumbar distribution index

Table 3.
Simple linear regression analysis about pelvic tilt
Variable R2 β (95% CI) p-value
LL 0.001 -0.017 (-0.130 to 0.095) 0.763
ULL 0.028 0.132 (0.006 to 0.259) 0.041
LLL 0.051 -0.208 (-0.354 to -0.062) 0.006
PI-LL 0.496 0.550 (0.460 to 0.641) <0.001
PI-ULL 0.212 0.324 (0.223 to 0.426) <0.001
PI-LLL 0.554* 0.499 (0.426 to 0.572) <0.001

* The highest value among the methods.

β : regression coefficient, CI : confidence interval, LL : lumbar lordosis, ULL : upper lumbar lordosis, LLL : lower lumbar lordosis, PI : pelvic incidence

Table 4.
Radiographic data by analysis of pelvic incidence subgroup
PT (°) LL (°) ULL (°) LLL (°) PI-LL (°) PI-ULL (°) PI-LLL (°) ULDI (%) LDI (%)
PI <40° (n=25) 7.1±6.0 49.6±6.8 13.2±6.7 36.4±6.0 -13.5±7.0 22.9±6.0 -0.36±7.5 25.9±12.7 74.1±12.7
40°≤ PI <50° (n=68) 9.1±4.6 56.3±8.7 17.2±8.2 39.2±6.5 -10.3±7.9 28.8±7.9 6.9±6.2 29.7±12.2 70.4±12.1
50°≤ PI <60° (n=45) 14.3±5.0 61.2±6.5 19.5±6.6 41.7±6.9 -6.4±6.5 35.3±7.2 13.0±6.7 31.7±10.3 68.4±10.4
60°≤ PI (n=12) 21±5.3 67.6±7.2 26.3±5.8 41.3±6.5 -1.1±7.3 40.2±7.0 25.3±6.8 38.9±7.1 61.1±7.1

Values are presented as mean±standard deviation. PT : pelvic tilt, LL : lumbar lordosis, ULL : upper lumbar lordosis, LLL : lower lumbar lordosis, ULDI : upper lumbar distribution index, LDI : lumbar distribution index, PI : pelvic incidence

Table 5.
Radiographic data by analysis of “theoretical” Roussouly type
Roussouly PI (°) PT (°) LL (°) ULL (°) LLL (°) PI-LL (°) PI-ULL (°) PI-LLL (°) ULDI (%) LDI (%)
Type 1 (n=30) 39.6±6.8 8.1±5.5 48.0±6.4 9.4±4.2 38.6±6.1 -8.4±6.1 30.2±6.3 1.0±6.9 19.0±10.5 81.0±10.7
Type 2 (n=23) 40.4±6.5 8.3±4.7 53.7±7.6 18.7±7.2 35.0±6.5 -13.3±7.3 21.7±7.1 5.4±6.3 34.7±12.0 65.3±11.0
Type 3 (n=82) 51.2±6.6 11.6±5.1 60.4±6.5 19.5±6.6 40.9±6.9 -9.2±6.9 31.7±7.5 10.3±6.4 32.0±9.4 68.0±10.6
Type 4 (n=15) 65.2±7.0 20.3±5.4 66.9±7.3 25.1±6.1 41.9±6.6 -1.7±7.2 40.1±7.1 23.3±6.7 37.4±7.7 62.6±8.2

Values are presented as mean±standard deviation. PI : pelvic incidence, PT : pelvic tilt, LL : lumbar lordosis, ULL : upper lumbar lordosis, LLL : lower lumbar lordosis, ULDI : upper lumbar distribution index, LDI : lumbar distribution index

References

1. Barrey C, Roussouly P, Le Huec JC, D’Acunzi G, Perrin G : Compensatory mechanisms contributing to keep the sagittal balance of the spine. Eur Spine J 22 Suppl 6(Suppl 6):S834-S841, 2013
crossref pmid pmc pdf
2. Boulay C, Tardieu C, Hecquet J, Benaim C, Mouilleseaux B, Marty C, et al : Sagittal alignment of spine and pelvis regulated by pelvic incidence: standard values and prediction of lordosis. Eur Spine J 15 : 415-422, 2006
crossref pmid pmc pdf
3. Cheng X, Zhang F, Wu J, Zhu Z, Dai K, Zhao J : Spontaneous improvement of compensatory knee flexion after surgical correction of mismatch between pelvic incidence and lumbar lordosis. Spine (Phila Pa 1976) 41 : 1303-1309, 2016
crossref pmid
4. Cho W, Mason JR, Smith JS, Shimer AL, Wilson AS, Shaffrey CI, et al : Failure of lumbopelvic fixation after long construct fusions in patients with adult spinal deformity: clinical and radiographic risk factors: clinical article. J Neurosurg Spine 19 : 445-453, 2013
crossref pmid
5. Duval-Beaupère G, Schmidt C, Cosson P : A barycentremetric study of the sagittal shape of spine and pelvis: the conditions required for an economic standing position. Ann Biomed Eng 20 : 451-462, 1992
crossref pmid pdf
6. Horton WC, Brown CW, Bridwell KH, Glassman SD, Suk SI, Cha CW : Is there an optimal patient stance for obtaining a lateral 36" radiograph? A critical comparison of three techniques. Spine (Phila Pa 1976) 30 : 427-433, 2005
crossref pmid
7. Hyun SJ, Han S, Kim YB, Kim YJ, Kang GB, Cheong JY : Predictive formula of ideal lumbar lordosis and lower lumbar lordosis determined by individual pelvic incidence in asymptomatic elderly population. Eur Spine J 28 : 1906-1913, 2019
crossref pmid pdf
8. Kang KB, Ahn YJ, Kim YJ, Kim YB, Park SC : Changes in sagittal spinopelvic parameters according to pelvic incidence in asymptomatic old Korean men. J Korean Soc Spine Surg 18 : 223-229, 2011
crossref
9. Kim S, Hyun SJ, Lee JK, Kim KJ : Narrative review of clinical impact of headhip offset following adult spinal deformity surgery. J Korean Neurosurg Soc 67 : 137-145, 2024
crossref pmid pmc pdf
10. Lafage V, Schwab F, Patel A, Hawkinson N, Farcy JP : Pelvic tilt and truncal inclination: two key radiographic parameters in the setting of adults with spinal deformity. Spine (Phila Pa 1976) 34 : E599-E606, 2009
crossref pmid
11. Lafage V, Schwab F, Vira S, Patel A, Ungar B, Farcy JP : Spino-pelvic parameters after surgery can be predicted: a preliminary formula and validation of standing alignment. Spine (Phila Pa 1976) 36 : 1037-1045, 2011
crossref pmid
12. Le Huec JC, Aunoble S, Philippe L, Nicolas P : Pelvic parameters: origin and significance. Eur Spine J 20 Suppl 5(Suppl 5):564-571, 2011
crossref
13. Le Huec JC, Hasegawa K : Normative values for the spine shape parameters using 3D standing analysis from a database of 268 asymptomatic Caucasian and Japanese subjects. Eur Spine J 25 : 3630-3637, 2016
crossref pmid pdf
14. Lee CH, Jo DJ, Oh JK, Hyun SJ, Park JH, Kim KH, et al : Development and validation of an online calculator to predict proximal junctional kyphosis after adult spinal deformity surgery using machine learning. Neurospine 20 : 1272-1280, 2023
pmid pmc
15. Lee JK, Hyun SJ, Kim KJ : Optimizing surgical strategy for cervical spinal deformity: global alignment and surgical targets. Neurospine 20 : 1246-1255, 2023
crossref pmid pmc pdf
16. Legaye J, Duval-Beaupère G : Sagittal plane alignment of the spine and gravity: a radiological and clinical evaluation. Acta Orthop Belg 71 : 213-220, 2005
pmid
17. Legaye J, Duval-Beaupère G, Hecquet J, Marty C : Pelvic incidence: a fundamental pelvic parameter for three-dimensional regulation of spinal sagittal curves. Eur Spine J 7 : 99-103, 1998
crossref pmid pmc pdf
18. Liu H, Li S, Wang J, Wang T, Yang H, Li Z, et al : An analysis of spinopelvic sagittal alignment after lumbar lordosis reconstruction for degenerative spinal diseases: how much balance can be obtained? Spine (Phila Pa 1976) 39(26 Spec No.):B52-B59, 2014
crossref pmid
19. Marty C, Boisaubert B, Descamps H, Montigny JP, Hecquet J, Legaye J, et al : The sagittal anatomy of the sacrum among young adults, infants, and spondylolisthesis patients. Eur Spine J 11 : 119-125, 2002
crossref pmid pmc pdf
20. Pizones J, Martin MB, Perez-Grueso FJS, Yilgor C, Vila-Casademunt A, Serra-Burriel M, et al : Impact of adult scoliosis on roussouly sagittal shape classification. Spine (Phila Pa 1976) 44 : 270-279, 2019
crossref pmid
21. Rothenfluh DA, Mueller DA, Rothenfluh E, Min K : Pelvic incidence-lumbar lordosis mismatch predisposes to adjacent segment disease after lumbar spinal fusion. Eur Spine J 24 : 1251-1258, 2015
crossref pmid pdf
22. Roussouly P, Gollogly S, Berthonnaud E, Dimnet J : Classification of the normal variation in the sagittal alignment of the human lumbar spine and pelvis in the standing position. Spine (Phila Pa 1976) 30 : 346-353, 2005
crossref pmid
23. Roussouly P, Labelle H, Rouissi J, Bodin A : Pre- and post-operative sagittal balance in idiopathic scoliosis: a comparison over the ages of two cohorts of 132 adolescents and 52 adults. Eur Spine J 22 Suppl 2(Suppl 2):S203-S215, 2013
crossref pmid pmc pdf
24. Schwab F, Lafage V, Patel A, Farcy JP : Sagittal plane considerations and the pelvis in the adult patient. Spine (Phila Pa 1976) 34 : 1828-1833, 2009
crossref pmid
25. Schwab F, Ungar B, Blondel B, Buchowski J, Coe J, Deinlein D, et al : Scoliosis Research Society-Schwab adult spinal deformity classification: a validation study. Spine (Phila Pa 1976) 37 : 1077-1082, 2012
crossref pmid
26. Yilgor C, Sogunmez N, Boissiere L, Yavuz Y, Obeid I, Kleinstück F, et al : Global alignment and proportion (GAP) score: development and validation of a new method of analyzing spinopelvic alignment to predict mechanical complications after adult spinal deformity surgery. J Bone Joint Surg Am 99 : 1661-1672, 2017
crossref pmid
27. Yilgor C, Sogunmez N, Yavuz Y, Abul K, Boissiére L, Haddad S, et al : Relative lumbar lordosis and lordosis distribution index: individualized pelvic incidence-based proportional parameters that quantify lumbar lordosis more precisely than the concept of pelvic incidence minus lumbar lordosis. Neurosurg Focus 43 : E5, 2017
crossref
TOOLS
PDF Links  PDF Links
PubReader  PubReader
ePub Link  ePub Link
XML Download  XML Download
Full text via DOI  Full text via DOI
Download Citation  Download Citation
  Print
Share:      
METRICS
1
Web of Science
1
Crossref
1
Scopus
1,121
View
102
Download
Related article
Editorial Office
1F, 18, Heolleung-ro 569-gil, Gangnam-gu, Seoul, Republic of Korea
TEL: +82-2-525-7552   FAX: +82-2-525-7554   E-mail: office@jkns.or.kr
About |  Browse Articles |  Current Issue |  For Authors and Reviewers
Copyright © Korean Neurosurgical Society.                 Developed in M2PI
Close layer