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Abedi, Rasoul, Fatouraee, Nasser, Bostanshirin, Mahdi, Arjmand, Navid, ghandhari, hasan. (1402). Prediction of Post-operative Clinical Indices in Scoliosis Correction Surgery Using an Adaptive Neuro-fuzzy Interface System. , 11(4), 241-247. doi: 10.22038/abjs.2022.66559.3176
Rasoul Abedi; Nasser Fatouraee; Mahdi Bostanshirin; Navid Arjmand; hasan ghandhari. "Prediction of Post-operative Clinical Indices in Scoliosis Correction Surgery Using an Adaptive Neuro-fuzzy Interface System". , 11, 4, 1402, 241-247. doi: 10.22038/abjs.2022.66559.3176
Abedi, Rasoul, Fatouraee, Nasser, Bostanshirin, Mahdi, Arjmand, Navid, ghandhari, hasan. (1402). 'Prediction of Post-operative Clinical Indices in Scoliosis Correction Surgery Using an Adaptive Neuro-fuzzy Interface System', , 11(4), pp. 241-247. doi: 10.22038/abjs.2022.66559.3176
Abedi, Rasoul, Fatouraee, Nasser, Bostanshirin, Mahdi, Arjmand, Navid, ghandhari, hasan. Prediction of Post-operative Clinical Indices in Scoliosis Correction Surgery Using an Adaptive Neuro-fuzzy Interface System. , 1402; 11(4): 241-247. doi: 10.22038/abjs.2022.66559.3176

Prediction of Post-operative Clinical Indices in Scoliosis Correction Surgery Using an Adaptive Neuro-fuzzy Interface System

The Archives of Bone and Joint Surgery
مقاله 4، دوره 11، شماره 4، تیر 2023، صفحه 241-247    اصل مقاله (824.84 K)
نوع مقاله: RESEARCH PAPER
شناسه دیجیتال (DOI): 10.22038/abjs.2022.66559.3176
نویسندگان
Rasoul Abedi1؛ Nasser Fatouraee* 1؛ Mahdi Bostanshirin1؛ Navid Arjmand2؛ hasan ghandhari3
1Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran
2Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran
3Bone and Joint Reconstruction Research Center, Shafa Orthopedic Teaching Hospital, Iran University of Medical Sciences, Iran
چکیده
Objectives: Accurate estimation of post-operative clinical parameters in scoliosis correction surgery is 
crucial. Different studies have been carried out to investigate scoliosis surgery results, which were 
costly, time-consuming, and with limited application. This study aims to estimate post-operative main 
thoracic cobb and thoracic kyphosis angles in adolescent idiopathic scoliosis patients using an adaptive 
neuro-fuzzy interface system. 
Methods: Distinct pre-operative clinical indices of fifty-five patients (e.g., thoracic cobb, kyphosis, lordosis, and 
pelvic incidence) were taken as the inputs of the adaptive neuro-fuzzy interface system in four categorized groups, 
and post-operative thoracic cobb and kyphosis angles were taken as the outputs. To evaluate the robustness of this 
adaptive system, the predicted values of post-operative angles were compared with the measured indices after the 
surgery by calculating the root mean square errors and clinical corrective deviation indices, including the relative 
deviation of post-operative angle prediction from the actual angle after the surgery.
Results: The group with inputs for main thoracic cobb, pelvic incidence, thoracic kyphosis, and T1 spinopelvic 
inclination angles had the lowest root mean square error among the four groups. The error values were 3.0° and 
6.3° for the post-operative cobb and thoracic kyphosis angles, respectively. Moreover, the values of clinical 
corrective deviation indices were calculated for four sample cases, including 0.0086 and 0.0641 for the cobb angles 
of two cases and 0.0534 and 0.2879 for thoracic kyphosis of the other two cases.
Conclusion: In all scoliotic cases, the post-operative cobb angles were lesser than the pre-operative ones; however, 
the post-operative thoracic kyphosis might be lesser or higher than the pre-operative ones. Therefore, the cobb 
angle correction is in a more regular pattern and is more straightforward to predict cobb angles. Consequently, their 
root-mean-squared errors become lesser values than thoracic kyphosis.
 Level of evidence: IV
کلیدواژه‌ها
Cobb angle؛ Pelvic incidence؛ Posterior surgery؛ Spine؛ Thoracic kyphosis
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