Computer navigation-assisted spinal fusion with segmental pedicle screw instrumentation for scoliosis with rett syndrome: A case report

Masato Tanaka, Kazuo Nakanishi, Yoshihisa Sugimoto, Haruo Misawa, Tomoyuki Takigawa, Keiichiro Nishida, Toshifumi Ozaki

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Scoliosis is a common clinical manifestation of Rett syndrome, a neurodevelopmental disorder that almost exclusively affects females. The spinal curve in patients with Rett syndrome is typically a long C curve of a neuromuscular type. As the onset of the scoliosis is very early and shows rapid progression, early surgical intervention has been recommended to prevent a life-threatening collapsing spine syndrome. However, there are high perioperative risks in Rett syndrome patients who undergo spinal surgery, such as neurological compromise and respiratory dysfunction due to rigid spinal curve. We herein report the surgical result of treating severe rapid progressive thoracic scoliosis in a 16-year-old girl with Rett syndrome. Posterior segmental pedicle screw fixation was performed from Tl to L3 using a computer-assisted technique. Post-operative radiography demonstrated a good correction of the curve in both the sagittal and coronal alignment. There were no postoperative complications such as neurological compromise. The patient had maintained satisfactory spinal balance as of the 3-year follow-up examination.

Original languageEnglish
Pages (from-to)373-377
Number of pages5
JournalActa medica Okayama
Volume63
Issue number6
Publication statusPublished - Dec 2009

Keywords

  • Computer navigation-assisted surgery
  • Rett syndrome
  • Scoliosis
  • Segmental pedicle screw fixation

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)

Fingerprint

Dive into the research topics of 'Computer navigation-assisted spinal fusion with segmental pedicle screw instrumentation for scoliosis with rett syndrome: A case report'. Together they form a unique fingerprint.

Cite this