Correlation of Qualitative and Quantitative M RI Parameters with Neurological Status: A Prospective Study on Patients with Spinal Trauma

Gupta, Ranjana; Mittal, Prabhat; Sandhu, P.; Saggar, Kavita; Gupta, Kamini

doi:10.7860/jcdr/2014/9471.5181

Cited by 22 publications

(37 citation statements)

References 12 publications

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“…Here it works against the gravitational acceleration

\overset{a_{italicGrav}}{true}

. Since

a_{L}

a_{Grav}

=9.8 m/s 2 , there will not be elevation of the chest due to the Lorentz force at 1.5 or 3 T, except perhaps in very light subjects, such as small children.…”

Section: Methodsmentioning

confidence: 99%

“…Since

\overset{a_{F r}}{true}

normalμ * \overset{a_{Grav}}{true}

, it’s magnitude depends on the material frictional coefficient

normalμ

. For PTFE (the plastic from which the MRI bed is made),

normalμ

=0.04–0.2 (www.engineeringtoolbox.com/friction-coefficients-d7778.html), so

a_{L} < a_{F r}

= 0.4–2 m/s 2 . This is true at both 1.5 and 3T.…”

Section: Methodsmentioning

confidence: 99%

“…While MRI was initially restricted to non-trauma, and non-emergency applications, it has become the method of choice for the diagnosis of several trauma conditions, such as acute ischemic stroke 1 , acute spinal trauma 2 and acute joint disease 3 , leading to MRI-scanner installation in many emergency rooms 4, 5 .…”

mentioning

confidence: 99%

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A Magnetic Resonance Imaging–Conditional External Cardiac Defibrillator for Resuscitation Within the Magnetic Resonance Imaging Scanner Bore

Schmidt

Watkins

Zviman

et al. 2016

Circ: Cardiovascular Imaging

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Background Subjects undergoing cardiac arrest within an MRI scanner are currently removed from the bore and then from the MRI suite, prior to delivery of CPR and defibrillation, potentially increasing risk of mortality. This precludes many higher-risk (acute-ischemic, acute-stroke) patients from undergoing MRI imaging and MRI-guided intervention. An MRI-conditional cardiac defibrillator should enable scanning with defibrillation pads attached and the generator ON, enabling application of defibrillation within the MRI seconds after a cardiac event. An MRI-conditional external defibrillator may improve patient acceptance for MRI procedures. Methods and Results A commercial external defibrillator was rendered 1.5 Tesla MRI-conditional by addition of novel Radio-Frequency (RF) filters between the generator and commercial disposable surface-pads. The RF filters reduced emission into the MRI scanner, and prevented cable/surface-pad heating during imaging, while preserving all the defibrillator’s monitoring and delivery functions. Human volunteers were imaged using high Specific-Absorption-Rate sequences to validate MRI image quality (IQ) and lack of heating. Swine were electrically fibrillated (N=4) and thereafter defibrillated both outside and inside the MRI bore. MRI IQ was reduced by 0.8 or 1.6 dB, with the generator in monitoring mode and operating on battery or AC power, respectively. Commercial surface-pads did not create artifacts deeper than 6mm below the skin surface. RF heating was within FDA guidelines. Defibrillation was completely successful inside and outside the MRI bore. Conclusions A prototype MRI-conditional defibrillation system successfully defibrillated in the MRI without degrading image quality, or increasing the time needed for defibrillation. It can increase patient acceptance for MRI procedures.

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“…Here it works against the gravitational acceleration

\overset{a_{italicGrav}}{true}

. Since

a_{L}

a_{Grav}

=9.8 m/s 2 , there will not be elevation of the chest due to the Lorentz force at 1.5 or 3 T, except perhaps in very light subjects, such as small children.…”

Section: Methodsmentioning

confidence: 99%

“…Since

\overset{a_{F r}}{true}

normalμ * \overset{a_{Grav}}{true}

, it’s magnitude depends on the material frictional coefficient

normalμ

. For PTFE (the plastic from which the MRI bed is made),

normalμ

=0.04–0.2 (www.engineeringtoolbox.com/friction-coefficients-d7778.html), so

a_{L} < a_{F r}

= 0.4–2 m/s 2 . This is true at both 1.5 and 3T.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

A Magnetic Resonance Imaging–Conditional External Cardiac Defibrillator for Resuscitation Within the Magnetic Resonance Imaging Scanner Bore

Schmidt

Watkins

Zviman

et al. 2016

Circ: Cardiovascular Imaging

View full text Add to dashboard Cite

show abstract

“…At post-acute time points, regions of tissue scarring and cystic cavitation may appear with differential image contrast depending on the severity of hemorrhage. 23 In pre-clinical models of clip compression, MRI can show biomarkers for longitudinal monitoring of injury evolution, including the increasing volume of lesional tissue, which is visualized as hypointense volume in our T1-weighted image sets at both 48 h and 4 weeks. 23 Quantitative biomarkers (e.g., magnetization transfer, diffusion tensor imaging) may also report on white matter quality, which has been reported.…”

Section: Modeling Human Lumbar Scimentioning

confidence: 99%

“…23 In pre-clinical models of clip compression, MRI can show biomarkers for longitudinal monitoring of injury evolution, including the increasing volume of lesional tissue, which is visualized as hypointense volume in our T1-weighted image sets at both 48 h and 4 weeks. 23 Quantitative biomarkers (e.g., magnetization transfer, diffusion tensor imaging) may also report on white matter quality, which has been reported. 24 Further, as intraoperative spinal sonography (ultrasound) is used to evaluate the gross pathology during surgical procedures, we used this technique for in vivo quantification of spinal cord cavitation.…”

Section: Modeling Human Lumbar Scimentioning

confidence: 99%

A New Acute Impact-Compression Lumbar Spinal Cord Injury Model in the Rodent

Moonen

Satkunendrarajah

Wilcox

et al. 2016

Journal of Neurotrauma

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Traumatic injury to the lumbar spinal cord results in complex central and peripheral nervous tissue damage causing significant neurobehavioral deficits and personal/social adversity. Although lumbar cord injuries are common in humans, there are few clinically relevant models of lumbar spinal cord injury (SCI). This article describes a novel lumbar SCI model in the rat. The effects of moderate (20 g), moderate-to-severe (26 g) and severe (35 g, and 56 g) clip impactcompression injuries at the lumbar spinal cord level L1-L2 (vertebral level T11-T12) were assessed using several neurobehavioral, neuroanatomical, and electrophysiological outcome measures. Lesions were generated after meticulous anatomical landmarking using microCT, followed by laminectomy and extradural inclusion of central and radicular elements to generate a traumatic SCI. Clinically relevant outcomes, such as MR and ultrasound imaging, were paired with robust morphometry. Analysis of the lesional tissue demonstrated that pronounced tissue loss and cavitation occur throughout the acute to chronic phases of injury. Behavioral testing revealed significant deficits in locomotion, with no evidence of hindlimb weight-bearing or hindlimb-forelimb coordination in any injured group. Evaluation of sensory outcomes revealed highly pathological alterations including mechanical allodynia and thermal hyperalgesia indicated by increasing avoidance responses and decreasing latency in the tail-flick test. Deficits in spinal tracts were confirmed by electrophysiology showing increased latency and decreased amplitude of both sensory and motor evoked potentials (SEP/MEP), and increased plantar H-reflex indicating an increase in motor neuron excitability. This is a comprehensive lumbar SCI model and should be useful for evaluation of translationally oriented pre-clinical therapies.

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Attention‐gated U‐Net networks for simultaneous axial/sagittal planes segmentation of injured spinal cords

Masse‐Gignac,

Flórez‐Jiménez,

Mac‐Thiong

et al. 2023

J Applied Clin Med Phys

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Magnetic resonance imaging is currently the gold standard for the evaluation of spinal cord injuries. Automatic analysis of these injuries is however challenging, as MRI resolutions vary for different planes of analysis and physiological features are often distorted around these injuries. This study proposes a new CNN‐based segmentation method in which information is exchanged between two networks analyzing the scans from different planes. Our aim was to develop a robust method for automatic segmentation of the spinal cord in patients having suffered traumatic injuries. The database consisted of 106 sagittal MRI scans from 94 patients with traumatic spinal cord injuries. Our method used an innovative approach where the scans were analyzed in series under the axial and sagittal plane by two different convolutional networks. The results were compared with those of Deepseg 2D from the Spinal Cord Toolbox (SCT), which was taken as state‐of‐the‐art. Comparisons were evaluated using K‐Fold cross‐validation combined with statistical t‐test results on separate test data. Our method achieved significantly better results than Deepseg 2D, with an average Dice coefficient of 0.95 against 0.88 for Deepseg 2D (p <0.001). Other metrics were also used to compare the segmentations, all of which showed significantly better results for our approach. In this study, we introduce a robust method for spinal cord segmentation which is capable of adequately segmenting spinal cords affected by traumatic injuries, improving upon the methods contained in SCT.

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Correlation of Qualitative and Quantitative M RI Parameters with Neurological Status: A Prospective Study on Patients with Spinal Trauma

Cited by 22 publications

References 12 publications

A Magnetic Resonance Imaging–Conditional External Cardiac Defibrillator for Resuscitation Within the Magnetic Resonance Imaging Scanner Bore

A Magnetic Resonance Imaging–Conditional External Cardiac Defibrillator for Resuscitation Within the Magnetic Resonance Imaging Scanner Bore

A New Acute Impact-Compression Lumbar Spinal Cord Injury Model in the Rodent

Attention‐gated U‐Net networks for simultaneous axial/sagittal planes segmentation of injured spinal cords

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