Intramedullary Endometriosis of the Conus Medullaris

Neurosurgery ◽  
2006 ◽  
Vol 59 (2) ◽  
pp. E428-E428 ◽  
Author(s):  
Amit Agrawal ◽  
Bellore J.P. Shetty ◽  
Jagadeesh H. Makannavar ◽  
Lathika Shetty ◽  
Jayaprakash Shetty ◽  
...  

Abstract OBJECTIVE: Intraspinal endometriosis is an extremely rare condition with characteristic symptoms, including lower back pain that increases in severity during each menstrual cycle. METHODS: Here, we report a case of endometriosis involving the conus cauda region. This patient presented with acute deterioration secondary to hemorrhage. We also review the relevant literature. RESULTS: Magnetic resonance imaging scans of the dorsolumbar region showed a mass lesion within the spinal canal at the L1–L2 level with evidence of acute hemorrhage. The patient underwent an emergency D12–L2 laminectomy and microdecompression of the lesion. The histological and immunohistochemical features were characteristic of intraspinal endometriosis. CONCLUSION: Intraspinal endometriosis must be recognized as a potential cause of periodic neurological signs and symptoms in young and middle-aged women.

Healthcare ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 238
Author(s):  
Ahmed Alhowimel ◽  
Faris Alodaibi ◽  
Mazyad Alotaibi ◽  
Dalyah Alamam ◽  
Hana Alsobayel ◽  
...  

Tertiary care centres continue to experience over-utilisation of diagnostic imaging services for lower back pain cases that may not be required. Moreover, these services may require additional time and consequently delay access to services that offer conservative management, i.e., physiotherapy, and hence, increase the direct and indirect costs with no added quality of care. A logic model was developed based on qualitative and quantitative studies that explains the plan and process evaluation strategies to reduce imaging for lower back pain in tertiary hospitals. Logic models are useful tools for defining programme components. The delivery of the components is ensured by well-defined process evaluations that identify any needed modifications. The proposed logic model provides a road map for spine clinics in tertiary care hospitals to decrease the number of patient referrals for magnetic resonance imaging and waiting times for consultations and services and promote early access to physiotherapy services.


2005 ◽  
Vol 72 (2) ◽  
pp. 187-189 ◽  
Author(s):  
Latifa Harzallah ◽  
Elyès Bouajina ◽  
Mehdi Ghannouchi ◽  
Habib Amara ◽  
Lamia Ben Chérifa ◽  
...  

Spine ◽  
2018 ◽  
Vol 43 (16) ◽  
pp. 1146-1153 ◽  
Author(s):  
Tomasz Lorenc ◽  
Piotr Palczewski ◽  
Damian Wójcik ◽  
Wojciech Glinkowski ◽  
Marek Gołębiowski

2021 ◽  
pp. 535-540
Author(s):  
Emmanuel V. Assey ◽  
Abid M. Sadiq ◽  
Magreth J. Swai ◽  
Adnan M. Sadiq ◽  
Marieke C.J. Dekker

Arachnoiditis is a rare clinical entity that usually presents with severe debilitating radiating pain that can pose a challenge in diagnosis especially in areas without appropriate imaging modalities. We present a 26-year-old male with progressive lower back pain with radiation to the lower extremities, aggravated by movement and touch. We diagnosed idiopathic arachnoiditis based on cerebrospinal fluid analysis and magnetic resonance imaging. He was managed with a 5-day course of methylprednisolone and analgesics with a good outcome. Severe back pain without a specific cause in a young patient should be investigated with proper imaging modalities and lumbar puncture if warranted to evaluate the cause.


Author(s):  
Jen-Yung Tsai ◽  
Isabella Yu-Ju Hung ◽  
Yue Leon Guo ◽  
Yih-Kuen Jan ◽  
Chih-Yang Lin ◽  
...  

Background: Lumbar disc herniation (LDH) is among the most common causes of lower back pain and sciatica. The causes of LDH have not been fully elucidated but most likely involve a complex combination of mechanical and biological processes. Magnetic resonance imaging (MRI) is a tool most frequently used for LDH because it can show abnormal soft tissue areas around the spine. Deep learning models may be trained to recognize images with high speed and accuracy to diagnose LDH. Although the deep learning model requires huge numbers of image datasets to train and establish the best model, this study processed enhanced medical image features for training the small-scale deep learning dataset.Methods: We propose automatic detection to assist the initial LDH exam for lower back pain. The subjects were between 20 and 65 years old with at least 6 months of work experience. The deep learning method employed the YOLOv3 model to train and detect small object changes such as LDH on MRI. The dataset images were processed and combined with labeling and annotation from the radiologist’s diagnosis record.Results: Our method proves the possibility of using deep learning with a small-scale dataset with limited medical images. The highest mean average precision (mAP) was 92.4% at 550 images with data augmentation (550-aug), and the YOLOv3 LDH training was 100% with the best average precision at 550-aug among all datasets. This study used data augmentation to prevent under- or overfitting in an object detection model that was trained with the small-scale dataset.Conclusions: The data augmentation technique plays a crucial role in YOLOv3 training and detection results. This method displays a high possibility for rapid initial tests and auto-detection for a limited clinical dataset.


2021 ◽  
Vol 10 (4) ◽  
pp. 205846012110063
Author(s):  
Hana Shabana ◽  
Johannes Leidinger ◽  
Johan Wikström ◽  
Ove Axelsson

Dural sinus malformation is a rare condition. We describe a prenatally detected case followed by repeated ultrasound scans and a prenatal magnetic resonance imaging examination. A substantial spontaneous regression was observed, which is associated with a favorable outcome. We believe that our observations, including a long postnatal follow-up, will add to the present knowledge of prenatally detected cases, and thus improve management of the pregnancies as well as our possibilities to counsel the parents-to-be.


Neurosurgery ◽  
2006 ◽  
Vol 58 (6) ◽  
pp. 1081-1089 ◽  
Author(s):  
John Sinclair ◽  
Steven D. Chang ◽  
Iris C. Gibbs ◽  
John R. Adler

Abstract OBJECTIVE: Intramedullary spinal cord arteriovenous malformations (AVMs) have an unfavorable natural history that characteristically involves myelopathy secondary to progressive ischemia and/or recurrent hemorrhage. Although some lesions can be managed successfully with embolization and surgery, AVM size, location, and angioarchitecture precludes treatment in many circumstances. Given the poor outlook for such patients, and building on the successful experience with radiosurgical ablation of cerebral AVMs, our group at Stanford University has used CyberKnife (Accuray, Inc., Sunnyvale, CA) stereotactic radiosurgery (SRS) to treat selected spinal cord AVMs since 1997. In this article, we retrospectively analyze our preliminary experience with this technique. METHODS: Fifteen patients with intramedullary spinal cord AVMs (nine cervical, three thoracic, and three conus medullaris) were treated by image-guided SRS between 1997 and 2005. SRS was delivered in two to five sessions with an average marginal dose of 20.5 Gy. The biologically effective dose used in individual patients was escalated gradually over the course of this study. Clinical and magnetic resonance imaging follow-up were carried out annually, and spinal angiography was repeated at 3 years. RESULTS: After a mean follow-up period of 27.9 months (range, 3–59 mo), six of the seven patients who were more than 3 years from SRS had significant reductions in AVM volumes on interim magnetic resonance imaging examinations. In four of the five patients who underwent postoperative spinal angiography, persistent AVM was confirmed, albeit reduced in size. One patient demonstrated complete angiographic obliteration of a conus medullaris AVM 26 months after radiosurgery. There was no evidence of further hemorrhage after CyberKnife treatment or neurological deterioration attributable to SRS. CONCLUSION: This description of CyberKnife radiosurgical ablation demonstrates its feasibility and apparent safety for selected intramedullary spinal cord AVMs. Additional experience is necessary to ascertain the optimal radiosurgical dose and ultimate efficacy of this technique.


2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 482.4-483
Author(s):  
A. Jones ◽  
C. Ciurtin ◽  
H. Kazkaz ◽  
M. Hall-Craggs

Background:The incidence of inflammatory and structural lesions on magnetic resonance imaging of sacroiliac joints (MRI SIJs) in patients with hypermobility related disorders has not been fully investigated. Hypermobile patients are more susceptible to pelvic instability and biomechanical stress of the SIJs, leading to MRI SIJ changes similar to those occurring in spondyloarthritis (SpA). Patients with hypermobility and suspected SpA pose a unique challenge owing to the high prevalence of back pain in the hypermobility cohort and the absence of spinal restriction on clinical examination.Objectives:In this study, we aim to investigate the incidence of MRI SIJ lesions in patients with hypermobility.Methods:We performed a retrospective study of all patients with a confirmed diagnosis of hypermobility related disorders (including hypermobility syndrome, hypermobility spectrum disorders and Ehlers-Danlos Syndromes) referred for an MRI lumbar spine and SIJ between 2011 and 2019 to investigate long-standing back pain. MRIs were examined by a musculoskeletal (MSK) radiologist with more than 25 years of experience, who was blinded to the clinical outcome of the patients. MRI SIJs were assessed for the presence of bone marrow oedema, subchondral sclerosis, erosion, fatty change, enthesitis, ankylosis, joint fluid and capsulitis.Results:51 patients with confirmed hypermobility related disorders were referred for MRI SIJ and lumbar spine between 2011 and 2019. 3 patients demonstrated clinical features in keeping with a diagnosis of SpA and were excluded from the study. 15/48 (31.3%) of patients with hypermobility and back pain (but no clinical picture of SpA) were found to have inflammatory and/or structural lesions on MRI SIJ. The most frequent lesions were small foci of bone marrow oedema (16.6%) followed by subchondral sclerosis (12.5%) and fatty change (10.4%). The incidence of erosions was 4.2%.Conclusion:There is a relatively high incidence of inflammatory and structural lesions on MRI SIJ of patients with hypermobility. The presence of hypermobility should be taken into consideration when interpreting MRI changes in patients with suspected SpA. Further research into long-term outcomes of MRI SIJs in patients with hypermobility and back pain is required to establish the clinical significance of these findings.Disclosure of Interests: :Alexis Jones: None declared, Coziana Ciurtin Grant/research support from: Pfizer, Consultant of: Roche, Modern Biosciences, Hanadi Kazkaz: None declared, Margaret Hall-Craggs: None declared


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