Literature DB >> 29191103

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.

Caglar Yilgor1, Nuray Sogunmez2, Yasemin Yavuz3, Kadir Abul2, Louis Boissiére4, Sleiman Haddad5, Ibrahim Obeid4, Frank Kleinstück6, Francisco Javier Sánchez Pérez-Grueso7, Emre Acaroğlu8, Anne F Mannion9, Ferran Pellise5, Ahmet Alanay1.   

Abstract

OBJECTIVE The subtraction of lumbar lordosis (LL) from the pelvic incidence (PI) offers an estimate of the LL required for a given PI value. Relative LL (RLL) and the lordosis distribution index (LDI) are PI-based individualized measures. RLL quantifies the magnitude of lordosis relative to the ideal lordosis as defined by the magnitude of PI. LDI defines the magnitude of lower arc lordosis in proportion to total lordosis. The aim of this study was to compare RLL and PI - LL for their ability to predict postoperative complications and their correlations with health-related quality of life (HRQOL) scores. METHODS Inclusion criteria were ≥ 4 levels of fusion and ≥ 2 years of follow-up. Mechanical complications were proximal junctional kyphosis/proximal junctional failure, distal junctional kyphosis/distal junctional failure, rod breakage, and implant-related complications. Correlations between PI - LL, RLL, PI, and HRQOL were analyzed using the Pearson correlation coefficient. Mechanical complication rates in PI - LL, RLL, LDI, RLL, and LDI interpreted together, and RLL subgroups for each PI - LL category were compared using chi-square tests and the exact test. Predictive models for mechanical complications with RLL and PI - LL were analyzed using binomial logistic regressions. RESULTS Two hundred twenty-two patients (168 women, 54 men) were included. The mean age was 52.2 ± 19.3 years (range 18-84 years). The mean follow-up was 28.8 ± 8.2 months (range 24-62 months). There was a significant correlation between PI - LL and PI (r = 0.441, p < 0.001), threatening the use of PI - LL to quantify spinopelvic mismatch for different PI values. RLL was not correlated with PI (r = -0.093, p > 0.05); therefore, it was able to quantify divergence from ideal lordosis for all PI values. Compared with PI - LL, RLL had stronger correlations with HRQOL scores (p < 0.05). Discrimination performance was better for the model with RLL than for PI - LL. The agreement between RLL and PI - LL was high (κ = 0.943, p < 0.001), moderate (κ = 0.455, p < 0.001), and poor (κ = -0.154, p = 0.343), respectively, for large, average, and small PI sizes. When analyzed by RLL, each PI - LL category was further divided into distinct groups of patients who had different mechanical complication rates (p < 0.001). CONCLUSIONS Using the formula of PI - LL may be insufficient to quantify normolordosis for the whole spectrum of PI values when applied as an absolute numeric value in conjunction with previously reported population-based average thresholds of 10° and 20°. Schwab PI - LL groups were found to constitute an inhomogeneous group of patients. RLL offers an individualized quantification of LL for all PI sizes. Compared with PI - LL, RLL showed a greater association with both mechanical complications and HRQOL. The use of RLL and LDI together, instead of PI - LL, for surgical planning may result in lower mechanical complication rates and better long-term HRQOL.

Entities:  

Keywords:  AUC = area under the receiver operating characteristic curve; COMI = Core Outcomes Measures Index; GAP = global alignment and proportion; HRQOL = health-related quality of life; LDI = lordosis distribution index; LIV = lowest instrumented vertebra; LL = lumbar lordosis; NPV = negative predictive value; ODI = Oswestry Disability Index; PAC = percentage accuracy in classification; PI = pelvic incidence; PPV = positive predictive value; PT = pelvic tilt; RLL = relative LL; SF-36 = 36-Item Short-Form Health Survey; SRS = Scoliosis Research Society; UIV = upper instrumented vertebra; adult spinal deformity; compensatory mechanisms; distribution of lordosis; individualized analysis; mechanical complication; spinopelvic mismatch

Mesh:

Year:  2017        PMID: 29191103     DOI: 10.3171/2017.8.FOCUS17498

Source DB:  PubMed          Journal:  Neurosurg Focus        ISSN: 1092-0684            Impact factor:   4.047


  14 in total

1.  Segmental Contributions to Lumbar Lordosis: A Computed Tomography Study.

Authors:  Joseph F Baker; Peter A Robertson
Journal:  Int J Spine Surg       Date:  2020-12-29

2.  Restoring the ideal Roussouly sagittal profile in adult scoliosis surgery decreases the risk of mechanical complications.

Authors:  Javier Pizones; Lucía Moreno-Manzanaro; Francisco Javier Sánchez Pérez-Grueso; Alba Vila-Casademunt; Caglar Yilgor; Ibrahim Obeid; Ahmet Alanay; Frank Kleinstück; Emre R Acaroglu; Ferran Pellisé
Journal:  Eur Spine J       Date:  2019-10-22       Impact factor: 3.134

3.  Effect of sagittal shape on proximal junctional kyphosis following thoracopelvic corrective fusion for adult spinal deformity: postoperative inflection vertebra cranial to T12 is a significant risk factor.

Authors:  Sreenath Jakinapally; Yu Yamato; Tomohiko Hasegawa; Daisuke Togawa; Go Yoshida; Tomohiro Banno; Hideyuki Arima; Shin Oe; Tatsuya Yasuda; Hiroki Ushirozako; Tomohiro Yamada; Koichirou Ide; Yuh Watanabe; Yukihiro Matsuyama
Journal:  Spine Deform       Date:  2020-06-23

4.  Spinopelvic measurements of sagittal balance with deep learning: systematic review and critical evaluation.

Authors:  Tomaž Vrtovec; Bulat Ibragimov
Journal:  Eur Spine J       Date:  2022-03-12       Impact factor: 2.721

5.  Correlation analysis of the PI-LL mismatch according to the pelvic incidence from a database of 468 asymptomatic volunteers.

Authors:  Stéphane Bourret; Meghan Cerpa; Michael P Kelly; Kazuhiro Hasegawa; Hwee Weng Dennis Hey; Hee-Kit Wong; Gabriel Liu; Zeeshan M Sardar; Hend Riahi; Lawrence G Lenke; Jean Charles Le Huec
Journal:  Eur Spine J       Date:  2022-03-24       Impact factor: 2.721

6.  Deep learning approach for automatic landmark detection and alignment analysis in whole-spine lateral radiographs.

Authors:  Yu-Cheng Yeh; Chi-Hung Weng; Tsung-Ting Tsai; Chao-Yuan Yeh; Yu-Jui Huang; Chen-Ju Fu
Journal:  Sci Rep       Date:  2021-04-07       Impact factor: 4.379

7.  Relationship between postoperative lordosis distribution index and adjacent segment disease following L4-S1 posterior lumbar interbody fusion.

Authors:  Guoquan Zheng; Chunguo Wang; Tianhao Wang; Wenhao Hu; Quanbo Ji; Fanqi Hu; Jianrui Li; Surendra K Chaudhary; Kai Song; Diyu Song; Zhifa Zhang; Yongyu Hao; Yao Wang; Jing Li; Qingyuan Zheng; Xuesong Zhang; Yan Wang
Journal:  J Orthop Surg Res       Date:  2020-04-03       Impact factor: 2.359

8.  Assessment of Lumbar Lordosis Distribution with a Novel Mathematical Approach and Its Adaptation for Lumbar Intervertebral Disc Degeneration.

Authors:  Zoltan Sandor; Gabor Kristof Rathonyi; Elek Dinya
Journal:  Comput Math Methods Med       Date:  2020-04-15       Impact factor: 2.238

9.  A Systematic Review of Treatment Strategies for the Prevention of Junctional Complications After Long-Segment Fusions in the Osteoporotic Spine.

Authors:  Murray Echt; William Ranson; Jeremy Steinberger; Reza Yassari; Samuel K Cho
Journal:  Global Spine J       Date:  2020-08-04

10.  Optimal Correction of Adult Spinal Deformities Requires Restoration of Distal Lumbar Lordosis.

Authors:  S Pesenti; S Prost; A Muñoz McCausland; K Farah; P Tropiano; S Fuentes; B Blondel
Journal:  Adv Orthop       Date:  2021-05-06
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