scholarly journals Use of Cooled Radiofrequency Lateral Branch Neurotomy for the Treatment of Sacroiliac Joint-Mediated Low Back Pain: A Large Case Series

Pain Medicine ◽  
2013 ◽  
Vol 14 (1) ◽  
pp. 29-35 ◽  
Author(s):  
Wolfgang Stelzer ◽  
Michael Aiglesberger ◽  
Dominik Stelzer ◽  
Valentin Stelzer
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Sacroiliac Joint ◽  
Case Series ◽  
Lateral Branch ◽  
Low Back ◽  
Large Case Series ◽  
Large Case

scholarly journals Endoscopic Radiofrequency Treatment of the Sacroiliac Joint Complex for Low Back Pain: A Prospective Study with a 2-Year Follow-Up

2019 ◽  
Vol 2 (22.2) ◽  
pp. E111-E118
Author(s):  
Albert E. Telfeian
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Radiofrequency Ablation ◽  
Minimally Invasive ◽  
Sacroiliac Joint ◽  
Sensory Nerve ◽  
Case Series ◽  
Low Back ◽  
Radiofrequency Treatment ◽  
Si Joint

Background: The sacroiliac joint complex (SIJC) is considered a major sources of chronic low back pain. Interventional procedures for sacroiliac (SI) joint pain tend to be short-lived and surgical treatment usually involves a fusion procedure. Objectives: To determine the clinical efficacy of endoscopically visualized radiofrequency treatment of the SIJC in the treatment of low back pain. Study Design: Retrospective chart review. Setting: This study took place in a single-center, orthopedic specialty hospital. Methods: Patients received general anesthesia and under endoscopic visualization, radiofrequency ablation was performed on 1) the perforating branches that innervate the posterior capsule of the SI joint capsule, 2) along the course of the long posterior SI ligament, 3) the lateral edges of the S1, S2, and S3 foramen, and 4) the L4, L5, and S1 medial marginal nerve branches along the lateral facet margins. Results: From January 2015 to June 2016, a total of 30 patients who met the precise inclusion criteria were treated with the endoscopic SIJC radiofrequency treatment for low back pain. The average patient was aged 56 years (19 women and 11 men), the average preoperative visual analog scale (VAS) score was 7.23, and the average Oswestry disability index (ODI) score was 44.8. VAS and ODI were measured at 3, 6, 9, 12, 15, 21 and 24 months: VAS was reduced from 7.23 at baseline to 2.82 at 24 months (61% reduction), and ODI was improved from 44.8 at baseline to 22.2 at 24 months (50% reduction). Limitations: Small retrospective case series. Conclusions: Full-endoscopic radiofrequency ablation of the large sensory SI joint innervation complex, that includes the sensory nerve branches along the lateral S1-3 foramina and the L4-S1 medial branches, is perhaps a minimally invasive surgical procedure that could provide significant relief of lumbar back pain in the carefully selected patient. Key words: Endoscopic spine surgery, minimally invasive, low back pain, sacroiliac joint, radiofrequency treatment

Poster 306: Intra-Articular Sacroiliac Joint Pulsed Radiofrequency Ablation for the Management of Chronic Low Back Pain: A Case Series

PM&R ◽  
2018 ◽  
Vol 10 ◽  
pp. S102-S102
Author(s):  
Lisa M. Koplik-Nieves ◽  
Eduardo J. Otero-Loperena ◽  
Marimie Rodriguez-Campos ◽  
Carlos Calvo-Silva
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Radiofrequency Ablation ◽  
Chronic Low Back Pain ◽  
Sacroiliac Joint ◽  
Case Series ◽  
Low Back ◽  
Pulsed Radiofrequency

Immediate effects of sensory discrimination for chronic low back pain: a case series

2015 ◽  
Vol 43 (2) ◽  
Author(s):  
Adriaan Louw ◽  
◽  
Kevin Farrell ◽  
Lauren Wettach ◽  
Justine Uhl ◽  
...  
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Chronic Low Back Pain ◽  
Case Series ◽  
Low Back ◽  
Sensory Discrimination

scholarly journals The Anatomy of the Lateral Branches of the Sacral Dorsal Rami: Implications for Radiofrequency Ablation

2014 ◽  
Vol 5;17 (5;9) ◽  
pp. 459-464
Author(s):  
Joseph Fortin
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Radiofrequency Ablation ◽  
Sacroiliac Joint ◽  
Low Back ◽  
Sacral Foramina ◽  
Dorsal Rami ◽  
Lateral Branches ◽  
The Right ◽  
Segmental Innervation

Background: The sacroiliac joint (SIJ) is a major source of pain in patients with chronic low back pain. Radiofrequency ablation (RFA) of the lateral branches of the dorsal sacral rami that supply the joint is a treatment option gaining considerable attention. However, the position of the lateral branches (commonly targeted with RFA) is variable and the segmental innervation to the SIJ is not well understood. Objectives: Our objective was to clarify the lateral branches’ innervation of the SIJ and their specific locations in relation to the dorsal sacral foramina, which are the standard RFA landmark. Methods: Dissections and photography of the L5 to S4 sacral dorsal rami were performed on 12 hemipelves from 9 donated cadaveric specimens. Results: There was a broad range of exit points from the dorsal sacral foramina: ranging from 12:00 – 6:00 position on the right side and 6:00 – 12:00 on the left positions. Nine of 12 of the hemipelves showed anastomosing branches from L5 dorsal rami to the S1 lateral plexus. Limitations: The limitations of this study include the use of a posterior approach to the pelvic dissection only, thus discounting any possible nerve contribution to the anterior aspect of the SIJ, as well as the possible destruction of some L5 or sacral dorsal rami branches with the removal of the ligaments and muscles of the low back. Conclusion: Widespread variability of lateral branch exit points from the dorsal sacral foramen and possible contributions from L5 dorsal rami and superior gluteal nerve were disclosed by the current study. Hence, SIJ RFA treatment approaches need to incorporate techniques which address the diverse SIJ innervation. Key words: Sacroiliac joint pain, radiofrequency ablation, dorsal sacral rami, low back pain

Automated detection of sacroiliitis on plain radiograph using EfficientDet algorithm in young patients with back pain: a pilot study

2021 ◽  
Author(s):  
Sung Hyun Noh ◽  
Chansik An ◽  
Dain Kim ◽  
Seung Hyun Lee ◽  
Min-Yung Chang ◽  
...  
Keyword(s):  
Low Back Pain ◽  
Deep Learning ◽  
Back Pain ◽  
Object Detection ◽  
Sacroiliac Joint ◽  
Plain Radiograph ◽  
Young Patients ◽  
Training Dataset ◽  
Detection Accuracy ◽  
Low Back

Abstract Background A computer algorithm that automatically detects sacroiliac joint abnormalities on plain radiograph would help radiologists avoid missing sacroiliitis. This study aimed to develop and validate a deep learning model to detect and diagnose sacroiliitis on plain radiograph in young patients with low back pain. Methods This Institutional Review Board-approved retrospective study included 478 and 468 plain radiographs from 241 and 433 young (< 40 years) patients who complained of low back pain with and without ankylosing spondylitis, respectively. They were randomly split into training and test datasets with a ratio of 8:2. Radiologists reviewed the images and labeled the coordinates of a bounding box and determined the presence or absence of sacroiliitis for each sacroiliac joint. We fine-tined and optimized the EfficientDet-D4 object detection model pre-trained on the COCO 2107 dataset on the training dataset and validated the final model on the test dataset. Results The mean average precision, an evaluation metric for object detection accuracy, was 0.918 at 0.5 intersection over union. In the diagnosis of sacroiliitis, the area under the curve, sensitivity, specificity, accuracy, and F1-score were 0.932 (95% confidence interval, 0.903–0.961), 96.9% (92.9–99.0), 86.8% (81.5–90.9), 91.1% (87.7–93.7), and 90.2% (85.0–93.9), respectively. Conclusions The EfficientDet, a deep learning-based object detection algorithm, could be used to automatically diagnose sacroiliitis on plain radiograph.

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