Results 171 to 180 of about 57,818 (286)

"INTRAOPERATIVE SPINAL STIFFNESS MEASUREMENT IN MANAGEMENT OF SPINAL CANAL STENOSIS "

, 2005
In this study to determine whether spine stiffness is predictive of clinical results after lumbar spinal fusion for spinal stenosis, a total of 78 patients were measured intraoperatively with Kocher clamp manual distraction technique to determine motion ...
P. Habibollah-Zadeh, M. M. Sadat, M. Karami, M. J. Zehtab, K. Akrami M. R. Zareei   +4 more
core  

Exploring the Clinical Potential of Dynamic Digital Radiography: A Narrative Review

Journal of Medical Radiation Sciences, Volume 73, Issue 2, Page 135-149, June 2026.
Dynamic Digital Radiography (DDR) is a promising X‐ray technology that captures rapid image sequences, enabling the visualisation of moving anatomical structures for various clinical applications, including pulmonary, cardiac and orthopaedic assessments.
Connor W. Braniff, Mohamed K. Badawy
wiley   +1 more source

Integrative genomic analysis identifies key target genes and candidate drugs for spinal stenosis. [PDF]

Front Mol Neurosci
Xia D, Chen Y, Wu R, Tang Y, Sun Y, Chen X.   +5 more
europepmc   +1 more source

Uncertainty Quantification of Central Canal Stenosis Deep Learning Classifier From Lumbar Sagittal T2‐Weighted MRI

JOR SPINE, Volume 9, Issue 2, June 2026.
ABSTRACT Background Accurate assessment of the severity of central canal stenosis (CCS) on lumbar spine MRI is critical for clinical decision‐making. We evaluated deep learning models for automated CCS grading on sagittal T2‐weighted MRI, focusing on uncertainty quantification to improve clinical reliability.
Adriana Brenzikofer, Maria Monzon, Fabio Galbusera, Zina‐Mary Manjaly, Andrea Cina, Catherine R. Jutzeler   +5 more
wiley   +1 more source

Benchmarking Multimodal Vision Frontier Models With Lumbar Spine MRIs for Grading Lumbar Spinal Stenosis. [PDF]

Global Spine J
Gebhard H, Kartal A, Manalil NF, Chung LK, Daulat SR, Cheng CD, Waheed AA, Shahzadi A, Hussain I, Härtl R, Elsayed GA.   +10 more
europepmc   +1 more source

Application of Statistical Shape Models to Standard Lumbar MRI for Stenosis Treatment Stratification: Severe Versus Normal Stenosis

JOR SPINE, Volume 9, Issue 2, June 2026.
Statistical shape models (SSMs) derived from standard 2D lumbar MRIs capture coordinated morphological features that distinguish severe from normal spinal stenosis. Both intervertebral disc and combined models provide strong discriminatory power, comparable to or exceeding traditional anatomical measurements.
Mary H. Foltz, Alexandra Seidenstein, Wesley M. Durand, Amit Jain, Jill M. Middendorf   +4 more
wiley   +1 more source

Response to the letter to the editor: Interpreting meta-analyses of biportal endoscopic decompression for lumbar spinal stenosis. [PDF]

Asian Spine J
Yu A, Kurapatti M, Hoang R, Hong J, Shrestha N, Stadler R, Campbell P, Song J, Lee J, Cho SK.   +9 more
europepmc   +1 more source

Diagnostic Features of Discogenic Low Back Pain: A Narrative Review and Suggested Areas for Future Research and Clinical Practice

JOR SPINE, Volume 9, Issue 2, June 2026.
ABSTRACT Background Chronic low back pain is a leading cause of global disability, with discogenic low back pain (DLBP), mechanically stimulated pain arising from the intervertebral disc, representing an important but often under‐recognized subtype. DLBP arises from chronic structural and metabolic changes within the intervertebral disc, leading to ...
William Roger Peters, Ashish D. Diwan, Mario Giuseppe Zotti   +2 more
wiley   +1 more source

Improvement in low back pain following endoscopic decompression for spinal stenosis. [PDF]

Brain Spine
Auron M, Roh Y, Pedraza Ciro MC, Boonsirikamchai W, Liang YH, Kim JH, Kim JS.   +6 more
europepmc   +1 more source

Explainable Supervised Learning Classification Model Using Diffusion Tensor Imaging Predicts Postoperative Outcomes in Cervical Spondylotic Myelopathy: A Preliminary Study

JOR SPINE, Volume 9, Issue 2, June 2026.
ABSTRACT Background Cervical spondylotic myelopathy (CSM) is common in older adults. Some patients may experience incomplete neurological recovery after surgery, or even deterioration. Accurate prognosis is essential for patients, yet current tools use subjective scores and fail to detect early spinal cord microstructural changes.
Yifei Peng, Zixuan Zhang, Zhikun Zhang, Kaiyi Shi, Ruoyu Wang, Yue Liu, Li Zhang   +6 more
wiley   +1 more source