Objective: The purpose of this study was to evaluate interobserver agreement and whether or not a new MRI grading system correlates with symptoms and neurologic signs for assessing spinal canal compression.
Materials And Methods: One hundred patients (52 men and 48 women; mean age, 50 years) underwent MRI of the cervical spine at our institution and were evaluated by two musculoskeletal radiologists. The presence and grade of cervical canal stenosis at the maximal narrowing point was assessed according to the new grading system suggested by Kang et al. (Kang system). The results correlated with the clinical manifestations and neurologic examination. Statistical analysis was performed using kappa statistics, categoric regression analysis, and nonparametric correlation analysis (Spearman correlation).
Results: Interobserver agreement in the grading of spinal stenosis between the two readers was almost perfect (κ = 0.925). Most of the patients with grade 0 cervical canal stenosis showed no neurologic manifestation, and patients with grades 2 and 3 cervical canal stenosis had positive neurologic manifestations. The correlation coefficient (R) of reader 1 between MRI grade (0, 1, 2, and 3) and neurologic manifestations (positive or negative) was 0.846. The R of reader 2 was 0.808. In the younger age group (< 50 years old), the R of reader 1 was 0.834 and the R of reader 2 was 0.745. In the older age group (≥ 50 years old), the R of reader 1 was 0.839 and the R of reader 2 was 0.839.
Conclusion: The interobserver agreement of the Kang system was almost perfect and was higher than in the study by Kang et al. Grade 0 cervical canal stenosis represents negative neurologic manifestations and grades 2 and 3 cervical canal stenosis represent positive neurologic manifestations. The Kang system and clinical manifestations are significantly correlated, especially in the older age group (≥ 50 years).
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http://dx.doi.org/10.2214/AJR.11.7599 | DOI Listing |
<b>Background and Objective:</b> Cervical cancer is the second most common cancer in Indonesia, where traditional herbal treatments like <i>Zanthoxylum acanthopodium</i> (andaliman) are culturally used. Investigating protein biomarkers such as E7, pRb, EGFR and p16 can help assess the efficacy of these treatments. <b>Materials and Methods:</b> There were 5 groups in this study: 2 control groups (C- and C+) and 3 treatment groups (each receiving one of three doses).
View Article and Find Full Text PDFBMC Cancer
December 2024
Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, P. R. China.
Background: This study aimed to investigate the potential utility of Epithelial-mesenchymal transition (EMT) signaling cell detection in the early diagnosis of cervical lesions.
Methods: Enrichment of cervical epithelial cells was carried out using a calibrated membrane with 8-μm diameter pores. RNA-in situ hybridization (RNA-ISH) was employed to detect and characterize EMT cells utilizing specific EMT markers.
Abdom Radiol (NY)
December 2024
Department of Radiology, The Jikei University School of Medicine, Tokyo, Japan.
Objectives: To comprehensively summarize the characteristics of magnetic resonance imaging (MRI) findings of uterine adenosarcoma through a systematic review and case series analysis.
Methods: A literature search was conducted in MEDLINE, Scopus, and Embase databases on June 3, 2024. In total, 25 cases from 23 articles were selected, and five cases from the authors' institution were included.
World Neurosurg
December 2024
Department of Neurosurgery, University of California San Diego School of Medicine, La Jolla, CA, USA. Electronic address:
Introduction: Cervical stenosis (CS) is the pathologic narrowing of the central canal of the cervical spine. It is often incidentally discovered. It is unclear whether pre-existing CS can lead to worse outcomes and higher incidences of post-traumatic spinal cord injury (SCI).
View Article and Find Full Text PDFAnn Ital Chir
December 2024
Department of Painology, The First People's Hospital of Tongxiang City, 314500 Tongxiang, Zhejiang, China.
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