Dataset Information

Management of cervical myelopathy due to ossification of posterior longitudinal ligament in a patient with Alstrom syndrome.

ABSTRACT: INTRODUCTION: Alström syndrome (AS) is a rare autosomal recessive genetic disorder with multisystemic involvement characterised by early blindness, hearing loss, obesity, insulin resistance, diabetes mellitus, dilated cardiomyopathy, and progressive hepatic and renal dysfunction. The clinical features, time of onset and severity can vary greatly among different patients. Many of the phenotypes are often not present in infancy but develop throughout childhood and adolescence. Recessively inherited mutations in ALMS1 gene are considered to be responsible for the causation of AS. Musculoskeletal manifestations including scoliosis and kyphosis have been previously described. CASE REPORT: Here, we present a patient with AS who presented with cervical myelopathy due to extensive flowing ossification of the anterior and posterior longitudinal ligaments of the cervical spine resulting in cervical spinal cord compression. The presence of an auto-fused spine in an acceptable sagittal alignment, in the background of a constellation of medical comorbidities, which necessitated a less morbid surgical approach, favored a posterior cervical laminectomy decompression in this patient. Postoperatively, the patient showed significant neurological recovery with improved function. Follow-up MRI showed substantial enlargement of the spinal canal with improved space available for the spinal cord. The rarity of the syndrome, cervical myelopathy due to ossified posterior longitudinal ligament as a disease phenotype and the treatment considerations for performing a posterior cervical decompression have been discussed in this Grand Rounds' case presentation.

SUBMITTER: Kanna RM

PROVIDER: S-EPMC3508221 | biostudies-other | 2012 Dec

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

Management of cervical myelopathy due to ossification of posterior longitudinal ligament in a patient with Alström syndrome.

Kanna Rishi Mugesh RM Gradil Daniela D Boszczyk Bronek M BM

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society 20120511 12

<h4>Introduction</h4>Alström syndrome (AS) is a rare autosomal recessive genetic disorder with multisystemic involvement characterised by early blindness, hearing loss, obesity, insulin resistance, diabetes mellitus, dilated cardiomyopathy, and progressive hepatic and renal dysfunction. The clinical features, time of onset and severity can vary greatly among different patients. Many of the phenotypes are often not present in infancy but develop throughout childhood and adolescence. Recessively i ...[more]

PMID: 22576155

Similar Datasets

Project description:BackgroundA high false-negative rate has been reported for the diagnosis of ossification of the posterior longitudinal ligament (OPLL) using plain radiography. We investigated whether deep learning (DL) can improve the diagnostic performance of radiologists for cervical OPLL using plain radiographs.Materials and methodsThe training set consisted of 915 radiographs from 207 patients diagnosed with OPLL. For the test set, we used 200 lateral cervical radiographs from 100 patients with cervical OPLL and 100 patients without OPLL. An observer performance study was conducted over two reading sessions. In the first session, we compared the diagnostic performance of the DL-model and the six observers. The diagnostic performance was evaluated using the area under the receiver operating characteristic curve (AUC) at the vertebra and patient level. The sensitivity and specificity of the DL model and average observers were calculated in per-patient analysis. Subgroup analysis was performed according to the morphologic classification of OPLL. In the second session, observers evaluated the radiographs by referring to the results of the DL-model.ResultsIn the vertebra-level analysis, the DL-model showed an AUC of 0.854, which was higher than the average AUC of observers (0.826), but the difference was not significant (p = 0.292). In the patient-level analysis, the performance of the DL-model had an AUC of 0.851, and the average AUC of observers was 0.841 (p = 0.739). The patient-level sensitivity and specificity were 91% and 69% in the DL model, and 83% and 68% for the average observers, respectively. Both the DL-model and observers showed decreases in overall performance in the segmental and circumscribed types. With knowledge of the results of the DL-model, the average AUC of observers increased to 0.893 (p = 0.001) at the vertebra level and 0.911 (p < 0.001) at the patient level. In the subgroup analysis, the improvement was largest in segmental-type (AUC difference 0.087; p = 0.002).ConclusionsThe DL-based OPLL detection model can significantly improve the diagnostic performance of radiologists on cervical radiographs.

Project description:ObjectivesThe objective of this study was to quantify the morphology, composition, and asymmetry of the paravertebral extensor muscles (PSEMs) in patients with cervical ossification of the posterior longitudinal ligament (OPLL) who had different modified K-line (mK-line) and the minimum interval between the mK-line and OPLL (INTmin ) values and to investigate the relationship between PSEMs and symptoms and outcomes following laminoplasty. These original findings elucidated that the atrophy of PSEMs could predict decompression outcomes and provided a theoretical basis for paraspinal muscle rehabilitation.MethodsA total of 94 consecutive patients who underwent laminoplasty for OPLL between January 2020 and January 2022 were enrolled in this retrospective study. The relative cross-sectional areas (rCSA), functional cross-sectional areas (rFCSA), and FCSA/CSA ratio of the multifidus (MF), semispinalis cervicalis (SSCe), semispinalis capitis (SSCa), and splenius capitis (SpCa) were measured at the C3-C7 segments on cervical magnetic resonance imaging (MRI). This study compared the differences between the mK-line (+) group and the mK-line (-) group, as well as between the INTmin <4 mm group and the INTmin ≥4 mm group, using the independent t-test or Mann-Whitney test for continuous variables and the χ2 -test for categorical variables. The correlations between the PSEMs and symptoms were analyzed using either the Pearson or Spearman correlation coefficient.ResultsThe relative total CSA (rTCSA) of the PSEMs, especially the MF, was significantly smaller in the mK-line (-) group. However, the FCSA/CSA of the right deep extensor muscle (DEM) was larger. The asymmetry of the MF TFCSA/TCSA showed a significant difference between the mK-line groups. In the INTmin <4 mm group, the PSEMs rCSA and rFCSA were significantly smaller, while the bilateral MF TFCSA/TCSA and right SSCe TFCSA/TCSA were larger. The asymmetry of the superficial extensor muscle rCSA was significantly lower in the group with INTmin <4 mm. The postoperative modified Japanese Orthopedic Association score (mJOA) and mJOA recovery rate were positively correlated with the INTmin and DEM rCSA and negatively correlated with the asymmetry of MF FCSA/CSA.ConclusionsIn patients with mK-line (-) or INTmin <4 mm, the PSEMs were smaller, and the DEM atrophy and composition changes were predominant. The MF asymmetry was higher in patients with mK-lines (-), whereas the SEM atrophy and asymmetry were more prevalent in patients with INTmin <4 mm. The DEM was related to the preoperative and postoperative mJOA scores. DEM-preserving surgery or DEM-specific rehabilitation exercises can improve the recovery of patients with OPLL during the perioperative period. In addition, attention should be paid to the evaluation of the SEM, especially the SpCa at the C3 and C5 levels.

Dataset Information

Management of cervical myelopathy due to ossification of posterior longitudinal ligament in a patient with Alstrom syndrome.

Publications

Management of cervical myelopathy due to ossification of posterior longitudinal ligament in a patient with Alström syndrome.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets