MRI diffusion tensor imaging scalar values in dogs with intervertebral disc herniation: A comparison between manual and semiautomated region of interest methods

被引:0
|
作者
Shinn, Richard [1 ]
Riffe, Ashley [2 ]
Edwards, Michael [1 ]
Rossmeisl, John [1 ]
机构
[1] Virginia Polytech Inst & State Univ, Virginia Maryland Coll Vet Med, Dept Small Anim Clin Sci, Blacksburg, VA 24061 USA
[2] VCA Alameda East Vet Hosp, Denver, CO USA
关键词
axial diffusivity; fractional anisotropy; mean diffusivity; radial diffusivity; spinal cord toolbox; SPINAL-CORD; CLINICAL-ASSESSMENT;
D O I
10.1111/vru.13126
中图分类号
S85 [动物医学(兽医学)];
学科分类号
0906 ;
摘要
Magnetic resonance imaging (MRI) diffusion tensor imaging (DTI) measures have been described as methods for quantifying spinal cord injury and predicting outcome in dogs with intervertebral disc herniation (IVDH); however, studies comparing methods for selecting regions of interest (ROIs) are currently lacking. The aims of this retrospective, methods comparison, observational study were to compare DTI measurements acquired using manual (mROI) versus semiautomated ROI (sROI) methods and to compare DTI measurements with patient outcomes. Magnetic resonance imaging scans that included DTI pulse sequences were retrieved for 65 dogs with confirmed IVDH. Regions of interest were placed at one vertebral length cranial and caudal to the region of spinal cord compression (RSCC) using the mROI and sROI methods. Scalar values based on the mROI and sROI methods were compared. There was a significant difference for all DTI measures (P < 0.0001), where fractional anisotropy was higher (95% confidence interval [CI]: 0.15, 0.19) and mean diffusivity (MD; CI: -0.41, -0.35), axial diffusivity (AD; CI: -0.47, -0.36) and radial diffusivity (RD; CI: -0.36, -0.27) were lower for the mROI than for the sROI. For both the mROI and sROI, MD, AD, and RD were significantly lower (p < 0.05) at the RSCC in paraplegic dogs that did not regain motor function. The findings indicated that DTI methods for quantifying SCI using open source software and ROI were feasible for use in dogs with IVDH; however, values based on sROI methods differed from values based on mROI methods. Some DTI measures based on both the mROI and sROI methods were predictive of poor patient outcome.
引用
收藏
页码:753 / 762
页数:10
相关论文
共 25 条
  • [1] Magnetization transfer and diffusion tensor imaging in dogs with intervertebral disk herniation
    Shinn, Richard L.
    Pancotto, Theresa E.
    Stadler, Krystina L.
    Werre, Stephen R.
    Rossmeisl, John H.
    JOURNAL OF VETERINARY INTERNAL MEDICINE, 2020, 34 (06) : 2536 - 2544
  • [2] Comparison of region-of-interest delineation methods for diffusion tensor imaging in patients with cervical spondylotic radiculopathy
    Wu, Penghuan
    Huang, Chengyan
    Shi, Benchao
    Jin, Anmin
    BMC MUSCULOSKELETAL DISORDERS, 2022, 23 (01)
  • [3] Comparison of region-of-interest delineation methods for diffusion tensor imaging in patients with cervical spondylotic radiculopathy
    Penghuan Wu
    Chengyan Huang
    Benchao Shi
    Anmin Jin
    BMC Musculoskeletal Disorders, 23
  • [4] Diffusion tensor imaging metrics in neonates—a comparison of manual region-of-interest analysis vs. tract-based spatial statistics
    Youngseob Seo
    Zhiyue J. Wang
    Gareth Ball
    Nancy K. Rollins
    Pediatric Radiology, 2013, 43 : 69 - 79
  • [5] Comparison of the values of MRI diffusion kurtosis imaging and diffusion tensor imaging in cerebral astrocytoma grading and their association with aquaporin-4
    Tan, Yan
    Zhang, Hui
    Zhao, Rui-Feng
    Wang, Xiao-Chun
    Qin, Jiang-Bo
    Wu, Xiao-Feng
    NEUROLOGY INDIA, 2016, 64 (02) : 265 - 272
  • [6] Repeatability and variation of region-of-interest methods using quantitative diffusion tensor MR imaging of the brain
    Hakulinen, Ullamari
    Brander, Antti
    Ryymin, Pertti
    Ohman, Juha
    Soimakallio, Seppo
    Helminen, Mika
    Dastidar, Prasun
    Eskola, Hannu
    BMC MEDICAL IMAGING, 2012, 12
  • [7] Repeatability and variation of region-of-interest methods using quantitative diffusion tensor MR imaging of the brain
    Ullamari Hakulinen
    Antti Brander
    Pertti Ryymin
    Juha Öhman
    Seppo Soimakallio
    Mika Helminen
    Prasun Dastidar
    Hannu Eskola
    BMC Medical Imaging, 12
  • [8] Diffusion tensor imaging metrics in neonates-a comparison of manual region-of-interest analysis vs. tract-based spatial statistics
    Seo, Youngseob
    Wang, Zhiyue J.
    Ball, Gareth
    Rollins, Nancy K.
    PEDIATRIC RADIOLOGY, 2013, 43 (01) : 69 - 79
  • [9] Intra- and Inter-observer Variation of Region-of-Interest Methods in Quantitative Clinical Diffusion Tensor Imaging
    Hakulinen, U.
    Brander, A.
    Ryymin, P.
    Ohman, J.
    Soimakallio, S.
    Dastidar, P.
    Eskola, H.
    5TH EUROPEAN CONFERENCE OF THE INTERNATIONAL FEDERATION FOR MEDICAL AND BIOLOGICAL ENGINEERING, PTS 1 AND 2, 2012, 37 : 551 - +
  • [10] COMPARISON BETWEEN NONCONTRAST COMPUTED TOMOGRAPHY AND MAGNETIC RESONANCE IMAGING FOR DETECTION AND CHARACTERIZATION OF THORACOLUMBAR MYELOPATHY CAUSED BY INTERVERTEBRAL DISK HERNIATION IN DOGS
    Cooper, Jocelyn J.
    Young, Benjamin D.
    Griffin, John F.
    Fosgate, Geoffrey T.
    Levine, Jonathan M.
    VETERINARY RADIOLOGY & ULTRASOUND, 2014, 55 (02) : 182 - 189