Usefulness of modified S-line for upper instrumented vertebra selection in adolescent idiopathic scoliosis Lenke type 2 curves

Tetsuhiko Mimura*, Shota Ikegami, Tomohiro Banno, Shoji Seki, Tetsuro Ohba, Hiroki Oba, Shugo Kuraishi, Masashi Uehara, Ryo Munakata, Takashi Takizawa, Terue Hatakenaka, Takayuki Kamanaka, Yoshinari Miyaoka, Daisuke Kurogochi, Takuma Fukuzawa, Hirotaka Haro, Yoshiharu Kawaguchi, Yukihiro Matsuyama, Michihiko Koseki, Jun Takahashi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

No validated systems exist for selecting the upper instrumented vertebra (UIV) for optimal postoperative shoulder balance in Lenke type 2 adolescent idiopathic scoliosis (AIS). This study evaluated a new method for shoulder balance prediction using the modified Shinshu line (MSL) for UIV selection in AIS Lenke type 2 curves. Fifty-five consecutive AIS patients receiving posterior spinal fusion (PSF) for a Lenke type 2 AIS curve were retrospectively analyzed according to several UIV determination models. Shoulder imbalance was judged as absolute radiographic shoulder height ≥ 10 mm at the 2-year observational endpoint. The MSL was the line between the center of the spinous process of C7 and that of the lowest instrumented vertebra. The vertebral body first touched proximally by the MSL was defined as the MSL vertebra (MSLV) and recommended as the UIV. The group with the UIV matching the MSLV had a significantly lower prevalence of shoulder imbalance of 23% (odds ratio 4.08, 95% CI 1.22–13.7, P = 0.02). Setting the MSLV as the UIV in PSF for AIS Lenke type 2 may reduce the prevalence of postoperative shoulder imbalance.

Original languageEnglish
Article number16996
JournalScientific Reports
Volume12
Issue number1
DOIs
StatePublished - 2022/12

ASJC Scopus subject areas

  • General

Fingerprint

Dive into the research topics of 'Usefulness of modified S-line for upper instrumented vertebra selection in adolescent idiopathic scoliosis Lenke type 2 curves'. Together they form a unique fingerprint.

Cite this