scholarly journals Quantitative Analysis and Pathological Basis of Signal Intensity on T2-Weighted MR Images in Benign and Malignant Parotid Tumors

2021 ◽  
Vol Volume 13 ◽  
pp. 5423-5431
Author(s):  
Peiying Wei ◽  
Chang Shao ◽  
Min Tian ◽  
Mengwei Wu ◽  
Haibin Wang ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Signal Intensity ◽  
Mr Images ◽  
Parotid Tumors ◽  
Malignant Parotid Tumors

scholarly journals Diagnostic accuracy of deep-learning with anomaly detection for a small amount of imbalanced data: discriminating malignant parotid tumors in MRI

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Hidetoshi Matsuo ◽  
Mizuho Nishio ◽  
Tomonori Kanda ◽  
Yasuyuki Kojita ◽  
Atsushi K. Kono ◽  
...  
Keyword(s):  
Anomaly Detection ◽  
Diagnostic Accuracy ◽  
Area Under The Curve ◽  
Imbalanced Data ◽  
Classification Models ◽  
Mr Images ◽  
High Diagnostic Accuracy ◽  
Parotid Tumors ◽  
Malignant Parotid Tumors ◽  
Local Outlier

Abstract We hypothesized that, in discrimination between benign and malignant parotid gland tumors, high diagnostic accuracy could be obtained with a small amount of imbalanced data when anomaly detection (AD) was combined with deep leaning (DL) model and the L2-constrained softmax loss. The purpose of this study was to evaluate whether the proposed method was more accurate than other commonly used DL or AD methods. Magnetic resonance (MR) images of 245 parotid tumors (22.5% malignant) were retrospectively collected. We evaluated the diagnostic accuracy of the proposed method (VGG16-based DL and AD) and that of classification models using conventional DL and AD methods. A radiologist also evaluated the MR images. ROC and precision-recall (PR) analyses were performed, and the area under the curve (AUC) was calculated. In terms of diagnostic performance, the VGG16-based model with the L2-constrained softmax loss and AD (local outlier factor) outperformed conventional DL and AD methods and a radiologist (ROC-AUC = 0.86 and PR-ROC = 0.77). The proposed method could discriminate between benign and malignant parotid tumors in MR images even when only a small amount of data with imbalanced distribution is available.

scholarly journals Contemporary Management of Benign and Malignant Parotid Tumors

2018 ◽  
Vol 5 ◽  
Author(s):  
Jovanna Thielker ◽  
Maria Grosheva ◽  
Stephan Ihrler ◽  
Andrea Wittig ◽  
Orlando Guntinas-Lichius
Keyword(s):  
Parotid Tumors ◽  
Contemporary Management ◽  
Malignant Parotid Tumors

Musculoskeletal MRI Findings of Haematological Diseases

QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
Sameh Mohammed Abdelwahab ◽  
Hazem Ibrahim Abdelrahman ◽  
Pola Ibrahim Said
Keyword(s):  
Bone Marrow ◽  
Signal Intensity ◽  
Cross Sectional Study ◽  
Mr Images ◽  
University Hospitals ◽  
Mri Findings ◽  
Cross Sectional ◽  
Hematological Diseases ◽  
Musculoskeletal Mri ◽  
Normal Composition

Abstract Background Hematologic diseases are a group of prevalent and clinically diverse diseases that can affect any organ system. Hematologic disorders frequently involve bone and associated tissues causing significant alterations in the bone marrow and may have relevant side effects on the skeleton. In order to evaluate findings in bone marrow on MR imaging, it is essential to understand the normal composition and distribution of bone marrow and the changes in marrow that occur with age, as well as the basis for the MR signals from marrow and the factors that affect those signals. Aim of the Work To describe the musculoskeletal MRI findings in patients with hematological diseases. Patients and Methods cross sectional study was conducted in Ain Shams University hospitals on patients confirmed with hematological disease undergoing musculoskeletal MRI. Conclusion Magnetic resonance imaging is very beneficial noninvasive modality to evaluate bone marrow and detecting marrow lesions due to its ability to provide information at the level of cellular and chemical composition. Knowing normal marrow components and composition and their variation, as well as of factors that affect MR signal intensity, is important for optimal interpretation of MR images. The signal intensity, morphology, and location of marrow findings on MRI can be used to provide accurate diagnoses and to guide treatment of the discussed hematological diseases.

scholarly journals Evaluation of Preoperative Fine Needle Aspiration Accuracy in Diagnosis of Malignant Parotid Tumors

2020 ◽  
Vol 09 (03) ◽  
pp. 101-110
Author(s):  
Alaa Q. Mandeel ◽  
Esra M. Qadami ◽  
Zahra A. Abdeen ◽  
Sayed Ali I. Al Mahari ◽  
Sayed Husain A. Alawi
Keyword(s):  
Fine Needle Aspiration ◽  
Needle Aspiration ◽  
Fine Needle ◽  
Parotid Tumors ◽  
Malignant Parotid Tumors

Use-fullness of dynamic contrast-enhanced MR imaging and diffusion weighted MR imaging for differentiation of benign and malignant parotid tumors

2018 ◽  
pp. 1-6
Keyword(s):  
Mr Imaging ◽  
Malignant Tumors ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Parotid Tumors ◽  
Contrast Enhanced ◽  
Type C ◽  
Sensitivity Specificity ◽  
And Diffusion ◽  
Malignant Parotid Tumors

Objectives: To evaluate the usefullness of dynamic contrast-enhanced MR Imaging (DCE-MRI) and diffusion weighted imaging (DWI) for differentiating benign from malignant parotid tumors. Methods: Prospectively,DCE-MRI and DWI were performed in 112 patients, with 148 confirmed parotid masses. The differential optimal thresholds were determined. Results: WConsidering tumors with time-intensity curve (TIC) Type C as malignant, sensitivity, specificity, accuracy were 95%, 76%, 79%, respectively. Considering ADC threshold values 0.709×10-3mm2 /s<ADC<0.948×10-3mm2 /s as malignant, sensitivity, specificity, accuracy were 75%, 78%, 78%, respectively. Considering TIC Type C and ADC values 0.709×10-3mm2 /s<ADC<0.948×10-3mm2 /s as malignant, sensitivity, specificity, accuracy were 75%, 91%, 89%, respectively. With threshold Kep<1.118 min-1 and Ve >0.315 between Warthin and malignant tumors, threshold Kep>0.555 min-1 and Ve <0.605 between pleomorphic adenomas and malignant tumors, sensitivity, specificity, accuracy for malignancy were 70% vs 90%, 96% vs 74%, 92% vs 80%, respectively. Conclusion: DCE-MRI and DWI provide more information in differentiating benign from malignant parotid tumors.

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