Return to play in professional baseball players following transforaminal endoscopic decompressive spine surgery under local anesthesia

Return to Sporting Activities Following Long Fusions to the Pelvis in Adult Spinal Deformity

BACKGROUND CONTEXT

Returning to recreational sporting activities after adult spinal deformity (ASD) correction may significantly impact the patient's perceived quality of life.

PURPOSE

This study sought to characterize participation in sporting activities before and after ASD surgery, and to identify factors associated with impaired return to sports.

STUDY DESIGN

Cross-sectional survey and retrospective review of prospectively collected data.

PATIENT SAMPLE

Patients who underwent posterior-only thoracolumbar ASD surgery between 2016-2021 with ≥1 year follow-up and ≥3 levels of fusion to the pelvis were included.

OUTCOME MEASURES

Preoperative and postoperative participation in sports, timing of return to these activities, and reasons for limited sports participation postoperatively were assessed.

METHODS

A survey was used to evaluate outcome measures. Differences in demographic, surgical, and perioperative variables between patients who reported improved, unchanged, or worsened activity tolerance were evaluated.

RESULTS

Ninety-five patients were included (mean age: 64.3±10.1 years; BMI: 27.3±6.1 kg/m2; median levels fused: 7). The survey was completed at an average of 43.5 ± 15.9 months after surgery. Sixty-eight (72%) patients participated in sports preoperatively. The most common sports were swimming (n=33, 34.7%), yoga (n=23, 24.2%), weightlifting (n=20, 21.1%), elliptical (n=19, 20.0%), and golf (n=11, 11.6%). Fifty-seven (83.8%) returned to at least one sport postoperatively, most commonly 6-12 months after surgery (45%). Elliptical had the highest rate of equal or improved participation (53%). Patients generally returned below their preoperative level to all other sports. Reasons for reduced sporting activities included physical limitation (51.4%), fear (20.0%), pain (17.1%), and surgeon advice (8.6%). There were no differences in the demographic, surgical, or perioperative characteristics between those who returned to sports at the same or better level compared with those who returned at a lower level.

CONCLUSIONS

84% of patients successfully resumed sporting activities after undergoing fusion to the sacrum/pelvis for ASD. However, this return is typically at a lower level of participation than their preoperative participation, particularly in higher demand sports. Understanding trends in sporting activity may be valuable for counseling patients and setting expectations.

Awake transforaminal endoscopic lumbar discectomy in an ambulatory surgery center: early clinical outcomes and complications of 100 patients

PURPOSE

Transforaminal endoscopic discectomy has been found to have equivalent outcomes to traditional discectomy techniques. Controversy exists concerning whether this should be performed under general anesthetic with neuromonitoring or can be safely performed on awake patients without neuromonitoring. This study aimed to evaluate the safety and effectiveness of awake transforaminal endoscopic discectomy in an ambulatory setting.

METHODS

100 consecutive patients with lumbar disc herniations treated with transforaminal endoscopic discectomy by a single surgeon were enrolled in the study. All procedures were performed under conscious sedation with local anesthetic. Preoperative and postoperative visual analog scale (VAS) scores were recorded and compared. Time spent in recovery prior to discharge home and complications were also recorded.

RESULTS

Average VAS score improved from a mean of 6.85 to 0.74 (median 7 to 0) immediately postoperatively. The average time spent in Post Anesthesia Care Unit (PACU) prior to discharge was 56.7 min. Average VAS score at 2 weeks was 3.07 (median 2.5). Complication rates were commensurate with published results in the literature. The most common complication was radiculitis, which appears to be more likely with foraminal/extraforaminal herniations at a rate of 20.7%, versus 2.6% for central/paracentral herniations. There were no cases that required conversion to general anesthetic or transfer to a hospital and no permanent nerve injuries in this cohort.

CONCLUSIONS

Endoscopic discectomy can safely and successfully be performed in an ambulatory surgery center under conscious sedation and local anesthetic without neuromonitoring. This procedure leads to rapid recovery in the PACU and significantly improved VAS scores postoperatively.

LEVEL OF EVIDENCE

Level IV.

Planned Four-stage Transforaminal Full-endoscopic Lumbar Decompression under Local Anesthesia in a Patient with Severe Comorbidity

A 74-year-old man presented with symptoms of intermittent claudication. A diagnosis of lumbar spinal canal stenosis (LSS) at L3/4 and L4/5 was made based on the clinical and radiological findings. Bilateral lateral recess stenosis was detected at both these levels on magnetic resonance imaging (MRI) and on computed tomography (CT) scans obtained after myelography. Four nerve roots were impinged bilaterally at L4 and L5. The initial plan was to perform conventional laminectomy at L3/4 and L4/5 under general anesthesia. However, the neurologists pointed out that the patient had comorbidities of parkinsonism and severe carotid artery stenosis, meaning that an increase or decrease in blood pressure during general anesthesia could cause a stroke. Therefore, we changed the surgical plan to four-stage full-endoscopic ventral facetectomy at L3/4 and L4/5 bilaterally under local anesthesia. There were no surgery-related complications after any of the four operations. The patient's symptoms improved after the final operation and the modified MacNab criteria indicated a good clinical outcome. Full-endoscopic lumbar decompression surgery under local anesthesia may be effective in elderly patients who are in poor general health.

Successful Full Endoscopic Surgery for L5 Radiculopathy Due to L4-5 Discal Cyst and Disc Herniation in a Professional Baseball Player

Discal cysts are rare intraspinal extradural cysts that communicate with the corresponding intervertebral discs, and the diagnosis is difficult to distinguish from other causes of low back pain and radiculopathy. Optimal management for this type of cyst has not been determined because of its rarity. Here, we report successful treatment of a discal cyst and lumbar disc herniation using full endoscopic surgery in a professional baseball player with a chief complaint of weakness in his left lower leg. He had been treated conservatively but symptoms did not improve. Discography helped us to differentially diagnose discal cyst from other cystic lesions. Conventional surgical treatment would have resulted in considerable loss of baseball playing time for the patient. We opted to perform minimally invasive transforaminal full endoscopic surgery under local anesthesia to treat the discal cyst and lumbar disc herniation simultaneously without resection of bone and ligament handling. We removed the discal cyst and disc herniation, which released tension on the left nerve root at the L5 level, and then performed thermal annuloplasty to avoid recurrence. Postoperative course was good and he returned to play baseball at his original competitive level 3 months later. To our knowledge, there have been no previous reports of successful full endoscopic surgery for discal cyst and lumbar disc herniation performed simultaneously in a professional baseball player. It can be difficult to decide on the proper treatment for discal cysts, but full endoscopic surgery for symptomatic discal cyst might be one good option especially for elite athletes.

Feasibility of Deep Learning Algorithms for Reporting in Routine Spine Magnetic Resonance Imaging

BACKGROUND

Artificial intelligence is gaining traction in automated medical imaging analysis. Development of more accurate magnetic resonance imaging (MRI) predictors of successful clinical outcomes is necessary to better define indications for surgery, improve clinical outcomes with targeted minimally invasive and endoscopic procedures, and realize cost savings by avoiding more invasive spine care.

OBJECTIVE

To demonstrate the ability for deep learning neural network models to identify features in MRI DICOM datasets that represent varying intensities or severities of common spinal pathologies and injuries and to demonstrate the feasibility of generating automated verbal MRI reports comparable to those produced by reading radiologists.

METHODS

A 3-dimensional (3D) anatomical model of the lumbar spine was fitted to each of the patient's MRIs by a team of technicians. MRI T1, T2, sagittal, axial, and transverse reconstruction image series were used to train segmentation models by the intersection of the 3D model through these image sequences. Class definitions were extracted from the radiologist report for the central canal: (0) no disc bulge/protrusion/canal stenosis, (1) disc bulge without canal stenosis, (2) disc bulge resulting in canal stenosis, and (3) disc herniation/protrusion/extrusion resulting in canal stenosis. Both the left and right neural foramina were assessed with either (0) neural foraminal stenosis absent, or (1) neural foramina stenosis present. Reporting criteria for the pathologies at each disc level and, when available, the grading of severity were extracted, and a natural language processing model was used to generate a verbal and written report. These data were then used to train a set of very deep convolutional neural network models, optimizing for minimal binary cross-entropy for each classification.

RESULTS

The initial prediction validation of the implemented deep learning algorithm was done on 20% of the dataset, which was not used for artificial intelligence training. Of the 17,800 total disc locations for which MRI images and radiology reports were available, 14,720 were used to train the model, and 3560 were used to validate against. The convergence of validation accuracy achieved with the deep learning algorithm for the foraminal stenosis detector was 81% (sensitivity = 72.4.4%, specificity = 83.1%) after 25 complete iterations through the entire training dataset (epoch). The accuracy was 86.2% (sensitivity = 91.1%, specificity = 82.5%) for the central stenosis detector and 85.2% (sensitivity = 81.8%, specificity = 87.4%) for the disc herniation detector.

CONCLUSIONS

Deep learning algorithms may be used for routine reporting in spine MRI. There was a minimal disparity among accuracy, sensitivity, and specificity, indicating that the data were not overfitted to the training set. We concluded that variability in the training data tends to reduce overfitting and overtraining as the deep neural network models learn to focus on the common pathologies. Future studies should demonstrate the accuracy of deep neural network models and the predictive value of favorable clinical outcomes with intervention and surgery.

LEVEL OF EVIDENCE

3.

CLINICAL RELEVANCE

Feasibility, clinical teaching, and evaluation study.