مقاله انگلیسی رایگان در مورد قاعده قابل پیش بینی برای انحنای کمری ایده آل تعیین شده توسط بروز لوزه منفرد و قوز توراسیک – الزویر ۲۰۲۲

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مشخصات مقاله
ترجمه عنوان 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
انتشار مقاله سال ۲۰۲۲
تعداد صفحات مقاله انگلیسی ۷ صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه الزویر
نوع نگارش مقاله
مقاله پژوهشی (Research Article)
مقاله بیس این مقاله بیس نمیباشد
نمایه (index) Scopus – Master Journals List – JCR – Medline
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
ایمپکت فاکتور(IF)
۱٫۶۰۱ در سال ۲۰۲۰
شاخص H_index ۶۷ در سال ۲۰۲۰
شاخص SJR ۰٫۶۱۸ در سال ۲۰۲۰
شناسه ISSN ۰۹۴۹-۲۶۵۸
شاخص Quartile (چارک) Q2 در سال ۲۰۲۰
فرضیه ندارد
مدل مفهومی ندارد
پرسشنامه ندارد
متغیر ندارد
رفرنس دارد
رشته های مرتبط پزشکی
گرایش های مرتبط مغز و اعصاب، جراحی ارتوپدی یا استخوان پزشکی
نوع ارائه مقاله
ژورنال
مجله  مجله علوم ارتوپدی – Journal of Orthopaedic Science
دانشگاه Hospital, Central South University, Changsha, Hunan, China
شناسه دیجیتال – doi
https://doi.org/10.1016/j.jos.2020.11.022
کد محصول E16032
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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فهرست مطالب مقاله:
Abstract
Introduction
Materials and methods
Results
Discussion
Conclusion
Source of funding
Author contributions
Declaration of competing interest
Acknowledgement
References

بخشی از متن مقاله:
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 ۰٫۶۷*PI þ ۲۳٫۷ [۱] 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.

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