Predictive value of flexion and extension diffusion tensor imaging in the early stage of cervical myelopathy

In the prostate, water diffusion is faster when moving parallel to duct and gland walls than when moving perpendicular to them, but these data are not currently utilized in multiparametric magnetic resonance imaging (mpMRI) for prostate cancer (PCa) detection. Diffusion tensor imaging (DTI) can quantify the directional diffusion of water in tissue and is applied in brain and breast imaging. Our aim was to determine whether DTI may improve PCa detection. We scanned patients undergoing mpMRI for suspected PCa with a DTI sequence. We calculated diffusion metrics from DTI and diffusion weighted imaging (DWI) for suspected lesions and normal-appearing prostate tissue, using specialized software for DTI analysis, and compared predictive values for PCa in targeted biopsies, performed when clinically indicated. DTI scans were performed on 78 patients, 42 underwent biopsy and 16 were diagnosed with PCa. The median age was 62 (IQR 54.4–68.4), and PSA 4.8 (IQR 1.3–10.7) ng/mL. DTI metrics distinguished PCa lesions from normal tissue. The prime diffusion coefficient (λ1) was lower in both peripheral-zone (p < 0.0001) and central-gland (p < 0.0001) cancers, compared to normal tissue. DTI had higher negative and positive predictive values than mpMRI to predict PCa (positive predictive value (PPV) 77.8% (58.6–97.0%), negative predictive value (NPV) 91.7% (80.6–100%) vs. PPV 46.7% (28.8–64.5%), NPV 83.3% (62.3–100%)). We conclude from this pilot study that DTI combined with T2-weighted imaging may have the potential to improve PCa detection without requiring contrast injection.

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Olfactory Function and Diffusion Tensor Imaging as Markers of Mild Cognitive Impairment in Early Stages of Parkinson's Disease

Clinical EEG and Neuroscience ◽

10.1177/15500594211058263 ◽

2021 ◽

pp. 155005942110582

Author(s):

Sophie A. Stewart ◽

Laura Pimer ◽

John D. Fisk ◽

Benjamin Rusak ◽

Ron A. Leslie ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Cognitive Impairment ◽

Diffusion Tensor Imaging ◽

Mild Cognitive Impairment ◽

White Matter ◽

Neurodegenerative Disorder ◽

Diffusion Tensor ◽

Early Stage ◽

White Matter Integrity

Parkinson's disease (PD) is a neurodegenerative disorder that is typified by motor signs and symptoms but can also lead to significant cognitive impairment and dementia Parkinson's Disease Dementia (PDD). While dementia is considered a nonmotor feature of PD that typically occurs later, individuals with PD may experience mild cognitive impairment (PD-MCI) earlier in the disease course. Olfactory deficit (OD) is considered another nonmotor symptom of PD and often presents even before the motor signs and diagnosis of PD. We examined potential links among cognitive impairment, olfactory functioning, and white matter integrity of olfactory brain regions in persons with early-stage PD. Cognitive tests were used to established groups with PD-MCI and with normal cognition (PD-NC). Olfactory functioning was examined using the University of Pennsylvania Smell Identification Test (UPSIT) while the white matter integrity of the anterior olfactory structures (AOS) was examined using magnetic resonance imaging (MRI) diffusion tensor imaging (DTI) analysis. Those with PD-MCI demonstrated poorer olfactory functioning and abnormalities based on all DTI parameters in the AOS, relative to PD-NC individuals. OD and microstructural changes in the AOS of individuals with PD may serve as additional biological markers of PD-MCI.

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Diffusion tensor imaging in children following prenatal myelomeningocele repair and its predictive value for the need and timing of subsequent CSF diversion surgery for hydrocephalus

Journal of Neurosurgery Pediatrics ◽

10.3171/2020.9.peds20570 ◽

2021 ◽

Vol 27 (4) ◽

pp. 391-399

Author(s):

Weihong Yuan ◽

Charles B. Stevenson ◽

Mekibib Altaye ◽

Blaise V. Jones ◽

James Leach ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Diffusion Tensor Imaging ◽

Logistic Regression Analysis ◽

Predictive Value ◽

Diffusion Tensor ◽

Linear Regression Analysis ◽

Model Performance ◽

Time Interval ◽

Csf Diversion

OBJECTIVE The aim of this study was to investigate diffusion tensor imaging (DTI), an objective and noninvasive neuroimaging technique, for its potential as an imaging biomarker to predict the need and timing of CSF diversion surgery in patients after prenatal myelomeningocele (MMC) repair. METHODS This was a retrospective analysis of data based on 35 pediatric patients after prenatal MMC repair (gestational age at birth 32.68 ± 3.42 weeks, range 24–38 weeks; 15 females and 20 males). A logistic regression analysis was used to classify patients to determine the need for CSF diversion surgery. The model performance was compared between using the frontooccipital horn ratio (FOHR) alone and using the FOHR combined with DTI values (the genu of the corpus callosum [gCC] and the posterior limb of the internal capsule [PLIC]). For patients who needed to be treated surgically, timing of the procedure was used as the clinical outcome to test the predictive value of DTI acquired prior to surgery based on a linear regression analysis. RESULTS Significantly lower fractional anisotropy (FA) values in the gCC (p = 0.014) and PLIC (p = 0.037) and higher mean diffusivity (MD) values in the gCC (p = 0.013) were found in patients who required CSF diversion surgery compared with those who did not require surgery (all p values adjusted for age). Based on the logistic regression analysis, the FOHR alone showed an accuracy of performance of 0.69 and area under the receiver operating characteristic curve (AUC) of 0.60. The performance of the model was higher when DTI measures were used in the logistic regression model (accuracy = 0.77, AUC = 0.84 for using DTI values in gCC; accuracy = 0.75, AUC = 0.84 for using DTI values in PLIC). Combining the DTI values of the gCC or PLIC and FOHR did not improve the model performance when compared with using the DTI values alone. In patients who needed CSF diversion surgery, significant correlation was found between DTI values in the gCC and the time interval between imaging and surgery (FA: ρ = 0.625, p = 0.022; MD: ρ = −0.6830, p = 0.010; both adjusted for age and FOHR). CONCLUSIONS The authors’ data demonstrated that DTI could potentially serve as an objective biomarker differentiating patients after prenatal MMC repair regarding those who may require surgery for MMC-associated hydrocephalus. The predictive value for the need and timing of CSF diversion surgery is highly clinically relevant for improving and optimizing decision-making for the treatment of hydrocephalus in this patient population.

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Value of conventional MRI and diffusion tensor imaging parameters in predicting surgical outcome in patients with degenerative cervical myelopathy

Journal of Back and Musculoskeletal Rehabilitation ◽

10.3233/bmr-170972 ◽

2018 ◽

Vol 31 (3) ◽

pp. 525-532 ◽

Cited By ~ 2

Author(s):

Canghai Shen ◽

Haiwei Xu ◽

Baoshan Xu ◽

Xiaoguang Zhang ◽

Xiaofeng Li ◽

...

Keyword(s):

Diffusion Tensor Imaging ◽

Cervical Myelopathy ◽

Surgical Outcome ◽

Diffusion Tensor ◽

Imaging Parameters ◽

Conventional Mri ◽

Degenerative Cervical Myelopathy ◽

And Diffusion

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Potential diagnostic role of diffusion tensor imaging in early-stage osteonecrosis of the femoral head

Experimental and Therapeutic Medicine ◽

10.3892/etm.2016.3787 ◽

2016 ◽

Vol 12 (5) ◽

pp. 3347-3352 ◽

Cited By ~ 1

Author(s):

Hongwei Min ◽

Feng Xu ◽

Rui Gu ◽

Xinzuo Han ◽

Anqing Wang ◽

...

Keyword(s):

Diffusion Tensor Imaging ◽

Femoral Head ◽

Diffusion Tensor ◽

Early Stage ◽

Diagnostic Role

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Effectiveness of diffusion tensor imaging in differentiating early-stage subcortical ischemic vascular disease, Alzheimer’s disease and normal ageing

PLoS ONE ◽

10.1371/journal.pone.0175143 ◽

2017 ◽

Vol 12 (4) ◽

pp. e0175143 ◽

Cited By ~ 11

Author(s):

Min-Chien Tu ◽

Chung-Ping Lo ◽

Ching-Feng Huang ◽

Yen-Hsuan Hsu ◽

Wen-Hui Huang ◽

...

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Diffusion Tensor Imaging ◽

Vascular Disease ◽

Diffusion Tensor ◽

Early Stage ◽

Normal Ageing

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Does Diffusion Tensor Imaging-Based Tractography at 3 Months of Age Contribute to the Prediction of Motor Outcome After Perinatal Arterial Ischemic Stroke?

Stroke ◽

10.1161/strokeaha.111.624858 ◽

2011 ◽

Vol 42 (12) ◽

pp. 3410-3414 ◽

Cited By ~ 42

Author(s):

Niek E. van der Aa ◽

Alexander Leemans ◽

Frances J. Northington ◽

Henrica L. van Straaten ◽

Ingrid C. van Haastert ◽

...

Keyword(s):

Ischemic Stroke ◽

Diffusion Tensor Imaging ◽

Positive Predictive Value ◽

Predictive Value ◽

Neonatal Period ◽

Motor Behavior ◽

Diffusion Tensor ◽

Motor Deficits ◽

Arterial Ischemic Stroke ◽

Perinatal Arterial Ischemic Stroke

Background and Purpose— After perinatal arterial ischemic stroke, diffusion-weighted imaging (DWI) and early evaluation of spontaneous motor behavior can be used to predict the development of unilateral motor deficits. The aim of this study was to investigate whether diffusion tensor imaging-based tractography at 3 months of age contributes to this prediction. Methods— Twenty-two infants with unilateral perinatal arterial ischemic stroke were included and scanned during the neonatal period. DWI was used to assess restricted diffusion in the cerebral peduncle. At the age of 3 months, diffusion tensor imaging-based tractography of the corticospinal tracts was performed along with assessment of the movement repertoire. The role of DWI, diffusion tensor imaging, and motor assessment in predicting unilateral motor deficits were compared by calculating the positive and negative predictive values for each assessment. Results— Eleven infants (50%) showed abnormal motor behavior at 3 months with subsequent development of unilateral motor deficits in 8 as determined at follow-up (9–48 months, positive predictive value 73%). Diffusion tensor imaging-based tractography correctly predicted the development of unilateral motor deficits in all 8 infants (positive predictive value 100%). A diagnostic neonatal DWI was available in 20 of 22 (91%) infants. Seven infants showed an abnormal DWI, resulting in unilateral motor deficits in 6 infants (positive predictive value 86%). All assessments had a negative predictive value of 100%. Conclusions— Diffusion tensor imaging-based tractography at 3 months can be used to predict neurodevelopmental outcome after perinatal arterial ischemic stroke. It has a similar predictive value as DWI in the neonatal period and can especially be of additional value in case of an indecisive neonatal DWI or unexpected abnormal early motor development.

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