Percutaneous endoscopic lumbar discectomy compared with other surgeries for lumbar disc herniation: A meta-analysis

Are large language models valid tools for patient information on lumbar disc herniation? The spine surgeons' perspective

Introduction

Generative AI is revolutionizing patient education in healthcare, particularly through chatbots that offer personalized, clear medical information. Reliability and accuracy are vital in AI-driven patient education.

Research question

How effective are Large Language Models (LLM), such as ChatGPT and Google Bard, in delivering accurate and understandable patient education on lumbar disc herniation?

Material and methods

Ten Frequently Asked Questions about lumbar disc herniation were selected from 133 questions and were submitted to three LLMs. Six experienced spine surgeons rated the responses on a scale from "excellent" to "unsatisfactory," and evaluated the answers for exhaustiveness, clarity, empathy, and length. Statistical analysis involved Fleiss Kappa, Chi-square, and Friedman tests.

Results

Out of the responses, 27.2% were excellent, 43.9% satisfactory with minimal clarification, 18.3% satisfactory with moderate clarification, and 10.6% unsatisfactory. There were no significant differences in overall ratings among the LLMs (p = 0.90); however, inter-rater reliability was not achieved, and large differences among raters were detected in the distribution of answer frequencies. Overall, ratings varied among the 10 answers (p = 0.043). The average ratings for exhaustiveness, clarity, empathy, and length were above 3.5/5.

Discussion and conclusion

LLMs show potential in patient education for lumbar spine surgery, with generally positive feedback from evaluators. The new EU AI Act, enforcing strict regulation on AI systems, highlights the need for rigorous oversight in medical contexts. In the current study, the variability in evaluations and occasional inaccuracies underline the need for continuous improvement. Future research should involve more advanced models to enhance patient-physician communication.

S1 Transforaminal Epidural Anesthesia in Percutaneous Transforaminal Endoscopic Discectomy: A Case-Series Study

Background

Percutaneous transforaminal endoscopic discectomy (PTED) has become popular over the years due to its safety and low invasiveness. This surgery can be performed with different anesthesia techniques; however, the extent to which the surgeon and patient are satisfied with the analgesia is debatable.

Objectives

This study investigated the efficiency of the S1 transforaminal epidural block.

Methods

This retrospective study was conducted on 60 patients with L4 - L5 lumbar disc herniation who underwent PTED under the S1 transforaminal epidural block. All patients had clinical symptoms associated with unilateral radiculopathy and were candidates for surgery. Percutaneous transforaminal endoscopy and S1 epidural block were performed by a surgeon for all patients.

Results

Of the 60 evaluated cases, 61.7% and 38.3% were female and male, respectively, with a mean age of 42.98 ± 10.79 years. The mean pain score before surgery was 7.83 ± 0.69, which decreased to 2.58 ± 0.65 during surgery and 0.50 ± 0.50 48 hours after surgery (P < 0.001). The mean duration of operation in these patients was 58.58 ± 16.95 minutes, and the mean onset time was 10.08 ± 3.12 minutes. Moreover, the mean bleeding was 124.17 ± 25.20 cc.

Conclusions

The PTED with S1 epidural anesthesia is a simple, safe, and effective method that causes good analgesia during the operation and cooperates well with the surgeon in neurological monitoring due to patient consciousness.