مقاله انگلیسی قاعده قابل پیش بینی برای انحنای کمری ایده آل
ترجمه نشده

مقاله انگلیسی قاعده قابل پیش بینی برای انحنای کمری ایده آل

عنوان فارسی مقاله: قاعده قابل پیش بینی برای انحنای کمری ایده آل تعیین شده توسط بروز لوزه و قوز توراسیک در بزرگسالان بی علامت
عنوان انگلیسی مقاله: Predictive formulae of ideal lumbar lordosis determined by individual pelvic incidence and thoracic kyphosis in asymptomatic adults
مجله/کنفرانس: مجله علوم ارتوپدی - Journal of Orthopaedic Science
رشته های تحصیلی مرتبط: پزشکی
گرایش های تحصیلی مرتبط: مغز و اعصاب، جراحی ارتوپدی یا استخوان پزشکی
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
شناسه دیجیتال (DOI): https://doi.org/10.1016/j.jos.2020.11.022
دانشگاه: Hospital, Central South University, Changsha, Hunan, China
صفحات مقاله انگلیسی: 7
ناشر: الزویر - Elsevier
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2022
ایمپکت فاکتور: 1.601 در سال 2020
شاخص H_index: 67 در سال 2020
شاخص SJR: 0.618 در سال 2020
شناسه ISSN: 0949-2658
شاخص Quartile (چارک): Q2 در سال 2020
فرمت مقاله انگلیسی: PDF
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: خیر
آیا این مقاله مدل مفهومی دارد: ندارد
آیا این مقاله پرسشنامه دارد: ندارد
آیا این مقاله متغیر دارد: ندارد
آیا این مقاله فرضیه دارد: ندارد
کد محصول: E16032
رفرنس: دارای رفرنس در داخل متن و انتهای مقاله
فهرست مطالب (انگلیسی)

Abstract
Introduction
Materials and methods
Results
Discussion
Conclusion
Source of funding
Author contributions
Declaration of competing interest
Acknowledgement
References

بخشی از مقاله (انگلیسی)

Introduction
It is commonly accepted that sagittal spinopelvic balance is of prime importance for a great quality of life [1,2]. Among various regulatory mechanisms, modification of lumbar lordosis (LL) plays a major role in the maintenance of a well-balanced alignment of the sagittal plane [3e5]. Most surgical corrections for adult spinal deformity (ASD) diseases involve the fusion and reconstruction of lumbar segments, and acquisition of physiological lumbar alignment has been testified to remarkably reduce the occurrence of mechanical complications suffered after ASD surgery [6e8]. Therefore, the precise prediction of ideal LL has become increasingly important in clinical practice. First, many researchers believe that pelvic morphology, defined by pelvic incidence (PI), is a primary driver of lumbar alignment regulation [9,10]. Accordingly, Roussouly and colleagues [4] described four disparate types of lumbar alignment in light of the sacrum orientation and PI in a normal adult population; however, why a low PI or sacral slope (SS) is associated with two diverse kinds of lumbar shapes, type 1 (significant kyphosis and short lordosis) and type 2 (hypokyphosis and hypolordosis), remains in doubt (Figs. 1 and 2). In addition, some researchers tried to build a series of algorithms that inferred LL simply from PI, such as LL ¼ 0.67*PI þ 23.7 [1] and LL ; however, Sebaaly et al. [7] and Rose et al. [11] found that the above models failed to decrease the rate of mechanical complications or obtain a balanced sagittal alignment after ASD surgery. In contrast, they both acknowledged that the formula with a combination of PI and thoracic kyphosis would be more beneficial for improving surgical outcomes [7,11].The aforementioned evidence illustrates that the effect of TK on LL is indispensable. Therefore, it may be speculated that the lumbar spine needs to adjust its own sequence to concurrently match not only PI but also TK; on the other hand, surgeons should create optimal lumbar alignment to adapt these two structural components together during corrective operations [11,13]. However, most previous studies exclusively take into account the influence of PI and ignore the effect of TK when analysing lumbar alignment [9,10,14]; as a result, the efficacies of these pre-existing formulae are likely questionable. Recently, Pan et al. [13,14] published two papers that separately elucidated the reciprocal relationships of lumbar alignment with pelvic and thoracic morphology. On this basis, we aimed to further investigate the regulatory mechanisms within sagittal spinopelvic alignment and to forecast the theoretical values of lumbar parameters, comprehensively incorporating the impacts of PI and TK, by means of multiple linear regressions in asymptomatic adults.