Evidence map›Paper›PMID 39527174›Full record

ArticleSpine deformity2025

Learning curve and long-term outcomes of minimally invasive correction and fusion for adolescent idiopathic scoliosis.

Matthew J Geck, Devender Singh, Ebubechi K Adindu, Ashley Duncan, John K Stokes, Eeric Truumees

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Article in Spine deformity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Matthew J GeckDell Medical School, The University of Texas, Ascension Texas Spine and Scoliosis, Austin, TX, USA.
Devender SinghAscension Texas Spine and Scoliosis, Austin, TX, USA.
Ebubechi K AdinduDepartment of Surgery and Perioperative Care, Dell Medical School, The University of Texas, Austin, TX, USA.
Ashley DuncanAscension Texas Spine and Scoliosis, Austin, TX, USA.
John K StokesAscension Texas Spine and Scoliosis, Austin, TX, USA.
Eeric TruumeesDell Medical School, The University of Texas, Ascension Texas Spine and Scoliosis, 1004 West 32nd Street, Suite 200, Austin, TX, 78705, USA. Etruumees@ascension.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

designRetrospective analysis.

objectiveThis study sought to report the long-term outcomes of patients that underwent minimally invasive surgery (MIS) correction for Adolescent Idiopathic Scoliosis (AIS) in terms of radiographic, clinical, and patient-reported outcomes. Furthermore, we examined the learning curve of MIS technique over the course of 13 years. Both MIS and open techniques are used to surgically address AIS. MIS techniques are purported to preserve the midline spinal musculature and to decrease estimated blood loss (EBL) and hospital length of stay (LOS).

methodsData were collected at a single tertiary care center of all consecutive AIS patients undergoing deformity surgery from January 2008 to October 2021. Demographic, clinical, and radiographic data were collected at various intervals. Descriptive and inferential analyses were conducted.

results70 AIS patients were included in the study. Mean patient age was 16.2 years of which 95.7% were female, with a mean BMI of 21.7. The majority of the patients were Lenke type 1A (60%) followed by Lenke 1B (18.6%) with mean preop Cobb angle as 52.2°. The mean follow-up was approximately 6 years with 35.7% of our cohort meeting the long-term follow-up landmark (> 5 years, 2-11). The mean number of spinal levels treated was 9.3 with mean ASA score of 1.7. Overall, mean EBL was 151 cc with mean OR of 308 min. The mean LOS was 3.94 days with postop Day 1 as the initiation of ambulation. Overall, the percent correction at the last visit was significantly greater than preop (Cobb: 77.6%, p < 0.05). Mean loss of correction on follow-ups was less than 5º. The overall revision rate was 2.9%. At 2 years postop, 98.6% (69/70) of the patients achieved fusion with 100% (24/24) at 5 years, and 96% (24/25) beyond the 5-year mark. Surgeon's technical proficiency in performing MIS for the treatment of AIS corrections was achieved after 23 cases.

conclusionsBased on our cohort's 2-11 year follow-up data, we conclude that MIS provides an effective treatment option for AIS reconstruction. Our study indicates that MIS can achieve adequate deformity correction and positive long-term clinical outcomes as indicated by Cobb angle, VAS, ODI, and SRS-22r scores during follow-ups. If the individual goals of AIS surgery can be achieved, consideration should be given to less-invasive techniques. LEVEL OF EVIDENCE: IV.

Indexed as

Learning CurveMinimally Invasive Surgical ProceduresScoliosisSpinal FusionAdolescentChildFemaleFollow-Up StudiesHumansLength of StayMaleRetrospective StudiesTreatment OutcomeAdolescent idiopathic scoliosisCobb angleLearning curveMinimally invasive surgeryOpen surgeryOutcomesRadiographic

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.