Musculoskeletal applications of nuclear magnetic resonance

Moon, Kirk L.; Genant, Harry K.; Helms, Clyde A.; Chafetz, Neil; Crooks, Lawrence E.; Kaufman, Léon

doi:10.1016/0730-725x(84)90134-6

Cited by 23 publications

(33 citation statements)

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“…Finally, an ICC was calculated to compare the performance of the CS method with the manual segmentation in addition to inter-and intraobserver variability. As previously indicated the Area true of the Gaussian structure in the validation dataset was 132.66 pixels 2 . The error in the segmented area from the CS and manual method was calculated as the percentage …”

Section: Outcome Measuresmentioning

confidence: 64%

“…This structure was intended to mimic the T2WI of the NP because the signal intensity radially drops off from the center of the NP toward the AF. The base diameter of the Gaussian structure spanned 13 pixels, thus the base area was ϫ 6.5 2 ϭ 132.66 pixels 2 . This area will be referred to as Area true .…”

Section: Validation Datasetmentioning

confidence: 99%

“…This is reflected on T2WI as a difference in image intensities, in which the NP has high signal intensity and appears bright, while the AF has low signal intensity and appears dark. 2 The difference in the image intensity between the 2 structures enables physicians to assess the condition of the IVD, especially in the case of IDD, which is one of the leading causes of low-back pain. Numerous animal models have been developed to study IDD, 3,4 one of which is a rabbit puncture model.…”

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confidence: 99%

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Application of a Semiautomated Contour Segmentation Tool to Identify the Intervertebral Nucleus Pulposus in MR Images

Bechara¹,

Leckie²,

Bowman³

et al. 2010

AJNR Am J Neuroradiol

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Section: Outcome Measuresmentioning

confidence: 64%

Section: Validation Datasetmentioning

confidence: 99%

mentioning

confidence: 99%

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Application of a Semiautomated Contour Segmentation Tool to Identify the Intervertebral Nucleus Pulposus in MR Images

Bechara¹,

Leckie²,

Bowman³

et al. 2010

AJNR Am J Neuroradiol

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“…3 and also subsequently by Li et al 4 in 1984. However, these studies had limitations, as the spatial resolution was poor due to lack of dedicated surface coils.…”

Section: Review Of Literaturementioning

confidence: 98%

Mri Versus Arthroscopy: A Comparison of Findings

Pereddy¹

2016

jemds

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The purpose of this study is to correlate the findings of Magnetic Resonance Imaging with Arthroscopy in internal derangements of knee and to assess the sensitivity, specificity and accuracy of Magnetic Resonance Imaging in comparison to Arthroscopy. METHODS AND MATERIALSFifty six patients with history of suspected internal derangement of knee were evaluated prospectively with MRI and correlated with arthroscopy during a one and half a year period from March 2012 to September 2013.1.5 Tesla MRI machine using a closed extremity coil is used. Sequences used in MRI of the knee include Turbo-spin echo (TSE), FFE (Gradient echo) and Short Tau Inversion Recovery (STIR) sequences in Axial, Sagittal and Coronal planes using a slice thickness of 3 mm with a 0.3 mm slice gap. Arthroscopy of the knee with standard anteromedial and anterolateral portals with the patient in supine position done in all the cases. RESULTSThe diagnostic sensitivity, specificity SUMMARY AND CONCLUSION MRI is a useful non-invasive modality having high sensitivity, specificity and accuracy in diagnosing cruciate ligament and meniscal injuries.  MRI should be considered as the first line of investigation in all patients with suspected internal derangements of knee.  MRI being easily available and non-invasive is useful as a pre-operative screening modality, thus improves the quality of diagnostic and therapeutic arthroscopies and further reduces the morbidity.  Arthroscopy is the standard diagnosing tool in all patients with suspected internal derangements of knee.  Arthroscopy should be reserved for selected cases where intervention is required and as a problem solving tool.

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“…No ionizing radiation may cause damage to the human operator or to the livestock, which is of crucial importance when dealing with breeding animals. Furthermore, MRI is favored to differentiate soft tissues (Moon et al, 1983). High acquisition, operating costs and the requirement for high technical expertise restricted the use of MRI for livestock breeding, basically to research during the last few years (Baulain, 1997;Scholz and Baulain, 2009).…”

Section: Discussionmentioning

confidence: 99%

Use of magnetic resonance imaging to predict the body composition of pigs in vivo

Kremer

Förster²,

Scholz³

2013

Animal

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The objective of the study was to evaluate whether magnetic resonance imaging (MRI) offers the opportunity to reliably analyze body composition of pigs in vivo. Therefore, the relation between areas of loin eye muscle and its back fat based on MRI images were used to predict body composition values measured by dual energy X-ray absorptiometry (DXA). During the study, a total of 77 pigs were studied by MRI and DXA, with a BW ranging between 42 and 102 kg. The pigs originated from different extensive or conventional breeds or crossbreds such as Cerdo Iberico, Duroc, German Landrace, German Large White, Hampshire and Pietrain. A Siemens Magnetom Open was used for MRI in the thorax region between 13th and 14th vertebrae in order to measure the loin eye area (MRI-LA) and the above back fat area (MRI-FA) of both body sides, whereas a whole body scan was performed by DXA with a GE Lunar DPX-IQ in order to measure the amount and percentage of fat tissue (DXA-FM; DXA-%FM) and lean tissue mass (DXA-LM; DXA-%LM). A linear single regression analysis was performed to quantify the linear relationships between MRI-and DXA-derived traits. In addition, a stepwise regression procedure was carried out to calculate (multiple) regression equations between MRI and DXA variables (including BW). Single regression analyses showed high relationships between DXA-%FM and MRI-FA (R 2 5 0.89, OMSE 5 2.39%), DXA-FM and MRI-FA (R 2 5 0.82, OMSE 5 2757 g) and DXA-LM and MRI-LA (R 2 5 0.82, OMSE 5 4018 g). Only DXA-%LM and MRI-LA did not show any relationship (R 2 5 0). As a result of the multiple regression analysis, DXA-LM and DXA-FM were both highly related to MRI-LA, MRI-FA and BW (R 2 5 0.96; OMSE 5 1784 g, and R 2 5 0.95, OMSE 5 1496 g). Therefore, it can be concluded that the use of MRI-derived images provides exact information about important 'carcass-traits' in pigs and may be used to reliably predict the body composition in vivo.

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Musculoskeletal applications of nuclear magnetic resonance

Cited by 23 publications

References 0 publications

Application of a Semiautomated Contour Segmentation Tool to Identify the Intervertebral Nucleus Pulposus in MR Images

Application of a Semiautomated Contour Segmentation Tool to Identify the Intervertebral Nucleus Pulposus in MR Images

Mri Versus Arthroscopy: A Comparison of Findings

Use of magnetic resonance imaging to predict the body composition of pigs in vivo

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