Systematic literature review of imaging features of spinal degeneration in asymptomatic populations
W Brinjikji, PH Luetmer, B Comstock… - American journal …, 2015 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Degenerative changes are commonly found in spine
imaging but often occur in pain-free individuals as well as those with back pain. We sought …
imaging but often occur in pain-free individuals as well as those with back pain. We sought …
Lumbar disc nomenclature: version 2.0: recommendations of the combined task forces of the North American Spine Society, the American Society of Spine Radiology …
DF Fardon, AL Williams, EJ Dohring, FR Murtagh… - Spine, 2014 - journals.lww.com
Study Design. This article comprises a review of the literature pertaining to the normal and
pathological lumbar disc and the compilation of a standardized nomenclature. Objective. To …
pathological lumbar disc and the compilation of a standardized nomenclature. Objective. To …
Deep learning model for automated detection and classification of central canal, lateral recess, and neural foraminal stenosis at lumbar spine MRI
Background Assessment of lumbar spinal stenosis at MRI is repetitive and time consuming.
Deep learning (DL) could improve productivity and the consistency of reporting. Purpose To …
Deep learning (DL) could improve productivity and the consistency of reporting. Purpose To …
ACR appropriateness criteria low back pain
ND Patel, DF Broderick, J Burns, TK Deshmukh… - Journal of the American …, 2016 - Elsevier
Most patients presenting with uncomplicated acute low back pain (LBP) and/or
radiculopathy do not require imaging. Imaging is considered in those patients who have had …
radiculopathy do not require imaging. Imaging is considered in those patients who have had …
Cerebral microbleeds: different prevalence, topography, and risk factors depending on dementia diagnosis—the Karolinska Imaging Dementia Study
S Shams, J Martola, T Granberg, X Li… - American Journal …, 2015 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Cerebral microbleeds are thought to represent cerebral
amyloid angiopathy when in lobar regions of the brain and hypertensive arteriopathy when …
amyloid angiopathy when in lobar regions of the brain and hypertensive arteriopathy when …
A deep learning model for the accurate and reliable classification of disc degeneration based on MRI data
F Niemeyer, F Galbusera, Y Tao, A Kienle… - Investigative …, 2021 - journals.lww.com
Objectives Although magnetic resonance imaging–based formalized grading schemes for
intervertebral disc degeneration offer improved reproducibility compared with purely …
intervertebral disc degeneration offer improved reproducibility compared with purely …
A systematic review of semiquantitative and qualitative radiologic criteria for the diagnosis of lumbar spinal stenosis
G Andreisek, M Imhof, M Wertli… - American Journal of …, 2013 - Am Roentgen Ray Soc
OBJECTIVE. The objective of our study was to perform a systematic review of the
semiquantitative and qualitative radiologic criteria that are used for the diagnosis of lumbar …
semiquantitative and qualitative radiologic criteria that are used for the diagnosis of lumbar …
Imaging of lumbar degenerative disk disease: history and current state
TM Emch, MT Modic - Skeletal radiology, 2011 - Springer
One of the most common indications for performing magnetic resonance (MR) imaging of the
lumbar spine is the symptom complex thought to originate as a result of degenerative disk …
lumbar spine is the symptom complex thought to originate as a result of degenerative disk …
Disc degeneration assessed by quantitative T2*(T2 star) correlated with functional lumbar mechanics
Study Design. Experimental correlation study design to quantify features of disc health,
including signal intensity and distinction between the annulus fibrosus and nucleus …
including signal intensity and distinction between the annulus fibrosus and nucleus …
Deep learning for automated, interpretable classification of lumbar spinal stenosis and facet arthropathy from axial MRI
Objectives To evaluate a deep learning model for automated and interpretable classification
of central canal stenosis, neural foraminal stenosis, and facet arthropathy from lumbar spine …
of central canal stenosis, neural foraminal stenosis, and facet arthropathy from lumbar spine …