scholarly journals Adoption of Diffusion Tensor Imaging under Optimized Fuzzy C-Means Cluster Algorithm in Intracerebral Benign and Malignant Tumor Resection

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Yasong Liu ◽  
Wentao Xu
Keyword(s):  
Diffusion Tensor Imaging ◽  
Malignant Tumor ◽  
Diffusion Tensor ◽  
Tumor Resection ◽  
Adc Value ◽  
Tumor Group ◽  
Apparent Diffusion ◽  
Experimental Group ◽  
White Matter Area ◽  
Diffusion Tensor Imaging Dti

The study aimed to analyze the application of diffusion tensor imaging (DTI) in the surgery of benign and malignant intracranial tumors through improved fuzzy C-means (FCM). First, a method of combining the maximum and minimum distances was proposed to improve the FCM algorithm. Then, the optimized FCM was applied to the diffusion tensor imaging (DTI) diagnosis. The patients were rolled into the benign tumor group and the malignant tumor group, and relevant parameters were compared. Finally, the postoperative total resection rate and disability rate of the DTI experimental group and the traditional control (Ctrl) group were evaluated. It was found that the segmentation accuracy of the optimized FCM algorithm was higher than traditional one and the obtained corpus callosum edge contour was clearer. In 63 patients with intracranial space, there were obvious differences in pairwise comparison of meningioma and glioma, metastatic tumor’s apparent diffusion coefficient (ADC) value, relative apparent diffusion coefficient (r ADC) value, and relative anisotropy fraction (r FA) P < 0.05 . In terms of the ADC, r ADC, and r FA values of tumor parenchymal area, those of benign tumors were larger than malignant tumors P < 0.05 . The ADC value (8.21 ± 1.87) and r FA value (1.36 ± 0.41) of the contralateral normal white matter area of malignant tumor were greater than the ADC value (7.23 ± 2.31) and r FA value (0.61 ± 0.24) of the peritumor white matter area, with statistically significant differences P < 0.05 . The total cut rates of the experimental group and the Ctrl were 87.5% and 54.84%, and the disability rates were 6.25% and 34.38%. In conclusion, the optimized FCM has high accuracy. The ADC, r ADC, and r FA values of DTI are important in the diagnosis of intracranial tumors. Besides, DTI can improve the survival rate in guiding intracranial tumor resection.

scholarly journals Eφαρμογή της έγχρωμης χαρτογράφησης του DTI στην ήπια γνωσιακή διαταραχή

2014 ◽  
Author(s):  
Δήμητρα Σαλή
Keyword(s):  
Diffusion Coefficient ◽  
Diffusion Tensor Imaging ◽  
Apparent Diffusion Coefficient ◽  
Fractional Anisotropy ◽  
Diffusion Tensor ◽  
Single Domain ◽  
Amnestic Mci ◽  
Apparent Diffusion ◽  
Multiple Domain ◽  
Diffusion Tensor Imaging Dti

Σκοπός: Η ήπια γνωσιακή διαταραχή (ΗΓΔ) θεωρείται πρόδρομο στάδιο της άνοιας. Ο αμνησικός τύπος της ΗΓΔ του ενός τομέα (amnestic MCI single domain-aMCI) μεταπίπτει συνήθως σε άνοια τύπου Alzheimer. Ο αμνησικός τύπος ΗΓΔ πολλαπλών τομέων (Amnestic MCI multiple domain-mdMCI) φαίνεται να εξελίσσεται πιο γρήγορα από τον αμνησικό τύπο του ενός τομέα. Προσπαθώντας να αναγνωρίσουμε την ομάδα ασθενών υψηλού κινδύνου μελετήσαμε τις αλλαγές της λευκής ουσίας στους υποτύπους της ΗΓΔ χρησιμοποιώντας τον Τανυστή Διάχυσης (Diffusion Tensor Imaging-DTI). Επίσης, συσχετίσαμε τα ευρήματα του DTI με τα αποτελέσματα του νευροψυχολογικού ελέγχου. Μέθοδοι: Σαραντατέσσερεις ασθενείς με aMCI, δεκαεννέα με mdMCI και εικοσιπέντε υγιείς συμπεριλήφθηκαν στην μελέτη. Όλοι οι συμμετέχοντες εκτιμήθηκαν με νευροψυχολογικό έλεγχο. Όλοι εξετάσθηκαν με DTI προκειμένου να μετρηθούν η Κλασματική Ανισοτροπία (Fractional Anisotropy-FA) και ο Συντελεστής Διάχυσης (Apparent Diffusion Coefficient-ADC). Οι περιοχές που μελετήθηκαν ήταν το μεσολόβιο, το οπίσθιο προσαγώγιο, το πρόσθιο προσαγώγιο και η άνω επιμήκης δεσμίδα. Η διάχυση και η ανισοτροπία των περιοχών αυτών συσχετίσθηκαν με τις επιδόσεις στις νευροψυχολογικές δοκιμασίες που ελέγχουν την λεκτική και την ακουστική μνήμη. Αποτελέσματα: Δεν βρέθηκαν διαφορές στις μετρήσεις του DTI ανάμεσα στους δύο υποτύπους της ΗΓΔ. Η διάχυση στην ΗΓΔ ήταν αυξημένη σε σχέση με τους υγιείς στο γόνυ, στο οπίσθιο προσαγώγιο, στο αριστερό πρόσθιο προσαγώγιο και στη δεξιά άνω επιμήκη δεσμίδα. Η ανισοτροπία δεν είχε διαφορές. Η λεκτική μνήμη σχετίσθηκε με την διάχυση στο γόνυ, στο οπίσθιο προσαγώγιο, στη δεξιά άνω επιμήκη δεσμίδα και στο δεξιά πρόσθιο προσαγώγιο καθώς και με την ανισοτροπία στην αριστερή άνω επιμήκη δεσμίδα. Η οπτική μνήμη συσχετίσθηκε με την διάχυση στο γόνυ, στο οπίσθιο προσαγώγιο, στο δεξιό πρόσθιο προσαγώγιο και στην άνω επιμήκη δεσμίδα. Η υψηλότερη συσχέτιση βρέθηκε ανάμεσα στην οπτική μνήμη και στη διάχυση του δεξιού οπίσθιου προσαγωγίου(Spearman ρ=0.,45 p<0.001).Συμπέρασμα: Σύμφωνα με το DTI η διάχυση σε κάποιες περιοχές του εγκεφάλου είναι αυξημένη στην ΗΓΔ. Δεν υπάρχει διαφορά στις μετρήσεις του DTI ανάμεσα στους δύο υποτύπους της ΗΓΔ. Τα ευρήματα του DTI συσχετίζονται με τη νοητική λειτουργία.

scholarly journals Diffusion tensor imaging for Alzheimer's disease: A review of concepts and potential clinical applicability

2009 ◽  
Vol 3 (4) ◽  
pp. 268-274 ◽  
Author(s):  
Luciano de Gois Vasconcelos ◽  
Sonia Maria Dozzi Brucki ◽  
Andrea Parolin Jackowiski ◽  
Orlando Francisco Amodeo Bueno
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Diffusion Tensor Imaging ◽  
Diffusion Tensor ◽  
Cognitive Assessments ◽  
Clinical Role ◽  
Pubmed Database ◽  
Apparent Diffusion ◽  
And Diffusion ◽  
Diffusion Tensor Imaging Dti

Abstract In view of the urgent need to identify an early and specific biomarker for Alzheimer's disease (AD), a PubMed database search was performed using the terms "Alzheimer disease" and "Diffusion Magnetic Resonance Imaging" to enable review of Diffusion tensor imaging (DTI) concepts and its potential clinical role in AD evaluation. Detailed analysis of selected abstracts showed that the main DTI measures, fractional anisotropy and apparent diffusion coefficient, indicators of fiber tract integrity, provide a direct assessment of WM fibers and may be used as a new biomarker for AD. These findings were found to correlate with cognitive assessments, rates of AD progression and were also able to differentiate among groups including mild cognitive impairment, AD, and other dementias. Despite several consistent DTI findings in AD patients, there is still a lack of knowledge and studies on the DTI field. DTI is not yet ready for clinical use, and requires extensive further research in order to achieve this goal.

A Simplified Method of Accurate Postprocessing of Diffusion Tensor Imaging for Use in Brain Tumor Resection

2015 ◽  
Vol 13 (1) ◽  
pp. 47-59 ◽  
Author(s):  
Phillip A. Bonney ◽  
Andrew K. Conner ◽  
Lillian B. Boettcher ◽  
Ahmed A. Cheema ◽  
Chad A. Glenn ◽  
...  
Keyword(s):  
Brain Tumor ◽  
Diffusion Tensor Imaging ◽  
Diffusion Tensor ◽  
Tumor Resection ◽  
Low Grade ◽  
Perceived Difficulty ◽  
Intracranial Lesions ◽  
Brain Tumor Resection ◽  
Frontal Lesions ◽  
Diffusion Tensor Imaging Dti

Abstract BACKGROUND: Use of diffusion tensor imaging (DTI) in brain tumor resection has been limited in part by a perceived difficulty in implementing the techniques into neurosurgical practice. OBJECTIVE: To demonstrate a simple DTI postprocessing method performed without a neuroscientist and to share results in preserving patient function while aggressively resecting tumors. METHODS: DTI data are obtained in all patients with tumors located within presumed eloquent cortices. Relevant white matter tracts are mapped and integrated with neuronavigation by a nonexpert in &lt; 20 minutes. We report operative results in 43 consecutive awake craniotomy patients from January 2014 to December 2014 undergoing resection of intracranial lesions. We compare DTI-expected findings with stimulation mapping results for the corticospinal tract, superior longitudinal fasciculus, and inferior fronto-occipital fasciculus. RESULTS: Twenty-eight patients (65%) underwent surgery for high-grade gliomas and 11 patients (26%) for low-grade gliomas. Seventeen patients had posterior temporal lesions; 10 had posterior frontal lesions; 8 had parietal-temporal-occipital junction lesions; and 8 had insular lesions. With DTI-defined tracts used as a guide, a combined 65 positive maps and 60 negative maps were found via stimulation mapping. Overall sensitivity and specificity of DTI were 98% and 95%, respectively. Permanent speech worsening occurred in 1 patient (2%), and permanent weakness occurred in 3 patients (7%). Greater than 90% resection was achieved in 32 cases (74%). CONCLUSION: Accurate DTI is easily obtained, postprocessed, and implemented into neuronavigation within routine neurosurgical workflow. This information aids in resecting tumors while preserving eloquent cortices and subcortical networks.

Tuberculoma – a great mimicker: can diffusion tensor imaging and tractography help?

2021 ◽  
pp. 028418512110636
Author(s):  
Beenish Khan ◽  
Rashmi Dixit ◽  
Anjali Prakash ◽  
Sunita Aggarwal
Keyword(s):  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Molecular Diffusion ◽  
Diffusion Tensor ◽  
Brain Parenchyma ◽  
Magnetic Resonance Scanner ◽  
Apparent Diffusion ◽  
Diffusion Tensor Images ◽  
Adc Values ◽  
Diffusion Tensor Imaging Dti

Background Central nervous system (CNS) tuberculomas often mimic tumors on conventional imaging, differentiation of which may not be possible without invasive tissue sampling. Diffusion tensor imaging (DTI), owing to its unrivalled property of characterizing molecular diffusion, may help in better lesion characterization and tractography may help understand the pattern of white matter involvement by tuberculomas. Purpose To estimate qualitative and quantitative diffusion tensor changes in brain tuberculomas and to evaluate patterns of white matter involvement using 3D tractography. Material and Methods Thirty patients with brain tuberculomas were evaluated on a 3-T magnetic resonance scanner. Diffusion tensor images were acquired along 20 non-colinear encoding directions with two b-values (b = 0, b = 1000). Regions of interest (ROIs) were drawn on quantitative fractional anisotropy (FA) and apparent diffusion coefficient (ADC) maps in the center of the tuberculoma and perilesional area. Similar ROIs were placed in contralateral hemispheres for comparison. Tractography maps were also generated. Results Mean FA in the center and perilesional area of tuberculomas were 0.098 ± 0.041 and 0.311 ± 0.135, respectively. ADC values in corresponding regions were 0.920 ± 0.272 ×10−3 mm2/s and 1.157 ± 0.277 ×10−3 mm2/s. These values were significantly different compared to contralateral similar brain parenchyma. Tractography revealed interruption of white fibers in the center with deviation of fibers at the periphery in the majority of tuberculomas with none showing infiltration of white matter described in tumors. Conclusion Significant qualitative as well as quantitative DTI changes were seen in tuberculoma and perilesional areas compared to contralateral hemisphere with tractography showing a pattern different from that described in tumors. These findings may help to differentiate tuberculomas from infiltrating tumors.

DTI in der Diagnostik der zervikalen Myelopathie

2020 ◽  
Vol 04 (04) ◽  
pp. 268-274
Author(s):  
Karsten Schöller ◽  
Sebastian Siller
Keyword(s):  
Diffusion Coefficient ◽  
Diffusion Tensor Imaging ◽  
Diffusion Tensor ◽  
Bildgebende Verfahren ◽  
Bildgebende Diagnostik ◽  
Zervikale Myelopathie ◽  
Apparent Diffusion ◽  
Zukünftige Entwicklungen ◽  
Prognostischer Marker ◽  
Diffusion Tensor Imaging Dti

ZusammenfassungDie degenerative zervikale Myelopathie (DCM) ist die häufigste Form der Rückenmarksaffektion im Erwachsenenalter. Die zugrundeliegenden pathophysiologischen Veränderungen sind komplex und eine operative Therapie ist in aller Regel spätestens dann notwendig, wenn relevante klinische Symptome einer stenosebedingten Rückenmarkskompression vorliegen. Für die Planung der Operation ist eine akkurate bildgebende Diagnostik essenziell. Diese soll dabei helfen, die zur klinischen Symptomatik beitragenden Wirbelsäulensegmente zu identifizieren.Die konventionelle Magnetresonanztomografie (MRT) ist das heutzutage am häufigsten angewendete bildgebende Verfahren bei DCM, da sich v. a. T2-gewichtete MRT-Sequenzen hervorragend für die morphologische Beurteilung der Rückenmarkskompression und die Identifikation einer Myelomalazie („Myelopathiezeichen“) eignen. Insbesondere bei multisegmentalen degenerativen Veränderungen kann die Grenze der diagnostischen Aussagekraft des MRTs jedoch schnell erreicht werden.Die Diffusion Tensor Bildgebung (diffusion tensor imaging, DTI) ist eine auf der MRT basierende, neuartige Untersuchungsmodalität, die auf der Messung der Diffusionseffekte von Wassermolekülen auf zellulärer Ebene basiert und eine Beurteilung der Integrität der weißen Rückenmarkssubstanz ermöglicht. Die beiden wichtigsten DTI-Größen, FA (fraktionelle Anisotropie) und ADC (apparent diffusion coefficient), stellen Surrogatparameter für das Ausmaß der strukturellen Myelonschädigung dar und zeigen Unterschiede zwischen DCM-Patienten und gesunden Probanden. Ein Vorteil dieser Technik könnte in einer sensitiven und frühen Detektion einer Rückenmarksschädigung liegen, zudem ist die Nutzung als prognostischer Marker oder bei der Operationsplanung denkbar.Unser Artikel beschäftigt sich mit den Einsatzmöglichkeiten des DTI bei der zervikalen Myelopathie und gibt einen Ausblick auf mögliche zukünftige Entwicklungen.

scholarly journals Diffusion tensor imaging of renal parenchyma in pediatric patients with chronic kidney disease: Correlation with serum biomarkers

2021 ◽  
Author(s):  
Ahmed Abdel Razek ◽  
Ayman Hammad ◽  
Manar Mansour ◽  
Marwa Ramadan ◽  
Khadiga Ali ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Diffusion Tensor Imaging ◽  
Kidney Disease ◽  
Pediatric Patients ◽  
Renal Cortex ◽  
Diffusion Tensor ◽  
Serum Biomarkers ◽  
Apparent Diffusion ◽  
Diffusion Tensor Imaging Dti

Purpose: to demonstrate role of diffusion tensor imaging (DTI) in diagnosis of pediatric chronic kidney disease (CKD) using fraction anisotropy (FA) and apparent diffusion coefficient (ADC). Material and methods: Prospective study done on 35 CKD patients (19 boys, 16 girls; mean age 12.2±2.7 years) and 19 age and sex-matched volunteers. Patients with sclerotic (n = 25) and non-sclerotic (n= 10) CKD that underwent DTI of kidney. Results: Mean FA of renal cortex/ medulla in CKD (0.20±0.07, and 0.18±0.08) was significantly lower (p = 0.001) from volunteers (0.27±0.08, 0.31±0.09). Cutoff renal FA of cortex/ medulla used for diagnosis of CKD was 0.23, and 0.22 with AUC of 0.828, 0.828 and accuracy of 82.9%, 80.7%. Mean ADC of renal cortex/ medulla in CKD (1.98±0.23 and 2.03±0.23 X10-3mm2/s) was significantly higher (p = 0.001) that of volunteers (1.65±0.134 and 1.68±0.16 X10-3mm2/s. Cutoff renal ADC of cortex/medulla used to diagnosis of CKD were 1.75 and 1.85X10-3mm2/s with AUC of 0.828, 0.910, 0.828 and 0.81 and accuracy of 82.9%, 84.1%, 80.7% and 79.5%. FA of renal cortex/medulla in sclerotic CKD was significantly different (p = 0.001) than non-sclerotic CKD (0.26±0.07 and 0.25±0.08). The FA of renal cortex/medulla in CKD patients correlated with serum creatinine (r = -0.468; p = 0.000, r =-0.381; p = 0.001), e GFR (r = 0.364; p = 0.002, r = 0.318; p = 0.007). Conclusion: FA and ADC of renal cortex/ medulla can help in diagnosis of CKD, FA cortex/ medulla predicts sclerotic CKD and correlated with some of serum biomarkers.

scholarly journals Prediction of clinical outcome in subacute subarachnoid hemorrhage using diffusion tensor imaging

2019 ◽  
Vol 130 (2) ◽  
pp. 550-558 ◽  
Author(s):  
Isabel Fragata ◽  
Marta Alves ◽  
Ana Luísa Papoila ◽  
Patrícia Ferreira ◽  
Ana Paiva Nunes ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Subarachnoid Hemorrhage ◽  
Clinical Outcome ◽  
Diffusion Tensor ◽  
Brain Regions ◽  
Poor Clinical Outcome ◽  
Poor Outcome ◽  
Apparent Diffusion ◽  
Adc Values ◽  
Diffusion Tensor Imaging Dti

OBJECTIVEClinical outcome in nontraumatic subarachnoid hemorrhage (SAH) is multifactorial and difficult to predict. Diffusion tensor imaging (DTI) findings are a prognostic marker in some diseases such as traumatic brain injury. The authors hypothesized that DTI parameters measured in the subacute phase of SAH can be associated with a poor clinical outcome.METHODSDiffusion tensor imaging was prospectively performed in 54 patients at 8–10 days after nontraumatic SAH. Logistic regression analysis was performed to evaluate the association of fractional anisotropy (FA) and apparent diffusion coefficient (ADC) values with a poor clinical outcome (modified Rankin Scale score ≥ 3) at 3 months.RESULTSAt 8–10 days post-SAH, after adjusting for other variables associated with a poor outcome, an increased ADC at the frontal centrum semiovale was associated with a poor prognosis (OR estimate 1.29, 95% CI 1.04–1.60, p = 0.020). Moreover, an increase of 0.1 in the FA value at the corpus callosum at 8–10 days after SAH corresponded to 66% lower odds of having a poor outcome (p = 0.002).CONCLUSIONSDecreased FA and increased ADC values in specific brain regions were independently associated with a poor clinical outcome after SAH. This preliminary exploratory study supports a potential role for DTI in predicting the outcome of SAH.

Intraspinal Tumors: The Value of Diffusion Tensor Imaging (DTI) and Tractography: A Preliminary Study

2018 ◽  
Author(s):  
F. Cartes-Zumelzu ◽  
S. Ingorokva ◽  
H. Kostron ◽  
G. Feuchtner ◽  
C. Kremser ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Diffusion Tensor ◽  
Preliminary Study ◽  
Diffusion Tensor Imaging Dti

Diffusion tensor imaging reveals microstructural differences between subtypes of trigeminal neuralgia

2020 ◽  
Vol 133 (2) ◽  
pp. 573-579 ◽  
Author(s):  
Matthew S. Willsey ◽  
Kelly L. Collins ◽  
Erin C. Conrad ◽  
Heather A. Chubb ◽  
Parag G. Patil
Keyword(s):  
Diffusion Coefficient ◽  
Diffusion Tensor Imaging ◽  
Trigeminal Neuralgia ◽  
Apparent Diffusion Coefficient ◽  
Diffusion Tensor ◽  
Statistical Significance ◽  
Region Of Interest ◽  
Pain Syndrome ◽  
Radial Diffusivity ◽  
Apparent Diffusion

OBJECTIVETrigeminal neuralgia (TN) is an uncommon idiopathic facial pain syndrome. To assist in diagnosis, treatment, and research, TN is often classified as type 1 (TN1) when pain is primarily paroxysmal and episodic or type 2 (TN2) when pain is primarily constant in character. Recently, diffusion tensor imaging (DTI) has revealed microstructural changes in the symptomatic trigeminal root and root entry zone of patients with unilateral TN. In this study, the authors explored the differences in DTI parameters between subcategories of TN, specifically TN1 and TN2, in the pontine segment of the trigeminal tract.METHODSThe authors enrolled 8 patients with unilateral TN1, 7 patients with unilateral TN2, and 23 asymptomatic controls. Patients underwent DTI with parameter measurements in a region of interest within the pontine segment of the trigeminal tract. DTI parameters were compared between groups.RESULTSIn the pontine segment, the radial diffusivity (p = 0.0049) and apparent diffusion coefficient (p = 0.023) values in TN1 patients were increased compared to the values in TN2 patients and controls. The DTI measures in TN2 were not statistically significant from those in controls. When comparing the symptomatic to asymptomatic sides in TN1 patients, radial diffusivity was increased (p = 0.025) and fractional anisotropy was decreased (p = 0.044) in the symptomatic sides. The apparent diffusion coefficient was increased, with a trend toward statistical significance (p = 0.066).CONCLUSIONSNoninvasive DTI analysis of patients with TN may lead to improved diagnosis of TN subtypes (e.g., TN1 and TN2) and improve patient selection for surgical intervention. DTI measurements may also provide insights into prognosis after intervention, as TN1 patients are known to have better surgical outcomes than TN2 patients.

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