Araştırma Makalesi

Morphometric Evaluation of Thoracic Vertebrae Using Multidetector Computed Tomography in Patients with Scoliosis

Cilt: 33 Sayı: 5 25 Ekim 2023
PDF İndir
TR EN

Morphometric Evaluation of Thoracic Vertebrae Using Multidetector Computed Tomography in Patients with Scoliosis

Öz

Aims:Many people have congenital and acquired deformities associated with the vertebral column. Vertebral surgery is practiced in cases like scoliosis, traffic accidents, falling down from height, cancer, and disc hernia. We aimed to reduce morbidity and mortality by creating alternative predictions for surgery and treatment with the findings and results we obtained in our study in patients with scoliosis. Methods: Patients with scoliosis (eight male, eight female) who underwent thoracic vertebrae imaging by multidetector computed tomography at Selcuk University Faculty of Medicine between 2013 and 2017 and who were not operated and those without scoliosis (eight male and nine female) who underwent imaging for other reasons were retrospectively evaluated. The group aged >15 years was created in a similar way. Similarly, groups with thoracic X-ray and tomography were created; Cobb angles and the width, height, and distance between the dorsal tips of the transverse process were measured in the 12 thoracic vertebrae. Lateral distances from the midline junction of the right lamina of vertebra to the lateral of the right transverse process and pedicle of vertebra junction were measured; measurements were repeated for the left side and recorded. Measurements were made in 780 thoracic vertebrae. Results: Mean Cobb angle of 8 in 10–14-year-old male patients with thoracic scoliosis was 30.9° and mean age was 13 years. Mean Cobb angle of 8 in 10–14-year-old female patients with thoracic scoliosis was 32.72° and mean age was 12.75 years. Conclusion: Our results will be useful for manufacturers and surgeons in terms of producing personalized screws and plaques.

Anahtar Kelimeler

Multidetector computed tomography, Scoliosis, Vertebral column, Vertebral morphometry

Proje Numarası

18102019

Kaynakça

  1. Cobb JR. Outline for the study of scoliosis. Instructional course lectures. 1948;5:261-75.
  2. Ogilvie J. Adolescent idiopathic scoliosis and genetic testing. Current opinion in pediatrics. 2010; 22(1):67-70.
  3. Wynne-Davies R. Familial (idiopathic) scoliosis: a family survey. The Journal of bone and joint surgery British volume. 1968; 50(1):24-30.
  4. Bordini B, Rosenfield RL. Normal pubertal development: part II: clinical aspects of puberty. Pediatrics in Review. 2011; 32(7):281-92.
  5. Cunningham C, Scheuer L, Black S. Developmental juvenile osteology. United Kingdom Academic Press. 2016; 179-196
  6. Çatan H, Buluç L, Anık Y, Ayyıldız E, Şarlak AY. Pedicle morphology of the thoracic spine in preadolescent idiopathic scoliosis: magnetic resonance supported analysis. European Spine Journal. 2007; 16(8):1203-8.
  7. Kunkel ME, Schmidt H, Wilke HJ. Prediction equations for human thoracic and lumbar vertebral morphometry. Journal of anatomy. 2010; 216(3):320-8.
  8. Teo E, Holsgrove T, Haiblikove S. 3D morphometric analysis of human vertebrae C3-T3 using CT images reconstruction. J Spine. 2017; 6(391):2.
  9. Grivas TB, Wade MH, Negrini S, O'Brien JP, Maruyama T, Hawes MC, et al. SOSORT consensus paper: school screening for scoliosis. Where are we today? Scoliosis. 2007: 2, 1, 17.
  10. Misenhimer G, Peek R, Wiltse L, Rothman S, Widell JE. Anatomic analysis of pedicle cortical and cancellous diameter as related to screw size. Spine. 1989; 14(4):367-72.

Kaynak Göster

APA
Tatar, M. C., Karabulut, A. K., Öztürk, M., Güleç, A., Fazlıoğulları, Z., & Ünver Doğan, N. (2023). Morphometric Evaluation of Thoracic Vertebrae Using Multidetector Computed Tomography in Patients with Scoliosis. Genel Tıp Dergisi, 33(5), 619-626. https://doi.org/10.54005/geneltip.1336670
AMA
1.Tatar MC, Karabulut AK, Öztürk M, Güleç A, Fazlıoğulları Z, Ünver Doğan N. Morphometric Evaluation of Thoracic Vertebrae Using Multidetector Computed Tomography in Patients with Scoliosis. Genel Tıp Derg. 2023;33(5):619-626. doi:10.54005/geneltip.1336670
Chicago
Tatar, Mehmet Cengiz, Ahmet Kağan Karabulut, Mehmet Öztürk, Ali Güleç, Zeliha Fazlıoğulları, ve Nadire Ünver Doğan. 2023. “Morphometric Evaluation of Thoracic Vertebrae Using Multidetector Computed Tomography in Patients with Scoliosis”. Genel Tıp Dergisi 33 (5): 619-26. https://doi.org/10.54005/geneltip.1336670.
EndNote
Tatar MC, Karabulut AK, Öztürk M, Güleç A, Fazlıoğulları Z, Ünver Doğan N (01 Ekim 2023) Morphometric Evaluation of Thoracic Vertebrae Using Multidetector Computed Tomography in Patients with Scoliosis. Genel Tıp Dergisi 33 5 619–626.
IEEE
[1]M. C. Tatar, A. K. Karabulut, M. Öztürk, A. Güleç, Z. Fazlıoğulları, ve N. Ünver Doğan, “Morphometric Evaluation of Thoracic Vertebrae Using Multidetector Computed Tomography in Patients with Scoliosis”, Genel Tıp Derg, c. 33, sy 5, ss. 619–626, Eki. 2023, doi: 10.54005/geneltip.1336670.
ISNAD
Tatar, Mehmet Cengiz - Karabulut, Ahmet Kağan - Öztürk, Mehmet - Güleç, Ali - Fazlıoğulları, Zeliha - Ünver Doğan, Nadire. “Morphometric Evaluation of Thoracic Vertebrae Using Multidetector Computed Tomography in Patients with Scoliosis”. Genel Tıp Dergisi 33/5 (01 Ekim 2023): 619-626. https://doi.org/10.54005/geneltip.1336670.
JAMA
1.Tatar MC, Karabulut AK, Öztürk M, Güleç A, Fazlıoğulları Z, Ünver Doğan N. Morphometric Evaluation of Thoracic Vertebrae Using Multidetector Computed Tomography in Patients with Scoliosis. Genel Tıp Derg. 2023;33:619–626.
MLA
Tatar, Mehmet Cengiz, vd. “Morphometric Evaluation of Thoracic Vertebrae Using Multidetector Computed Tomography in Patients with Scoliosis”. Genel Tıp Dergisi, c. 33, sy 5, Ekim 2023, ss. 619-26, doi:10.54005/geneltip.1336670.
Vancouver
1.Mehmet Cengiz Tatar, Ahmet Kağan Karabulut, Mehmet Öztürk, Ali Güleç, Zeliha Fazlıoğulları, Nadire Ünver Doğan. Morphometric Evaluation of Thoracic Vertebrae Using Multidetector Computed Tomography in Patients with Scoliosis. Genel Tıp Derg. 01 Ekim 2023;33(5):619-26. doi:10.54005/geneltip.1336670