Fully automated detection of prostate transition zone tumors on T2‐weighted and apparent diffusion coefficient (ADC) map MR images using U‐Net ensemble

2021 ◽  
Author(s):  
Timothy Wong ◽  
Nicola Schieda ◽  
Paul Sathiadoss ◽  
Mohammad Haroon ◽  
Jorge Abreu‐Gomez ◽  
...  
Keyword(s):  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Transition Zone ◽  
Automated Detection ◽  
Mr Images ◽  
Apparent Diffusion ◽  
Adc Map

Automated segmentation of prostate zonal anatomy on T2‐weighted (T2W) and apparent diffusion coefficient ( ADC ) map MR images using U‐Nets

2019 ◽  
Vol 46 (7) ◽  
pp. 3078-3090 ◽  
Author(s):  
Fatemeh Zabihollahy ◽  
Nicola Schieda ◽  
Satheesh Krishna Jeyaraj ◽  
Eranga Ukwatta
Keyword(s):  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Automated Segmentation ◽  
Mr Images ◽  
Apparent Diffusion ◽  
Adc Map

scholarly journals Is Apparent Diffusion Coefficient Associated with Clinical Risk Scores for Prostate Cancers that Are Visible on 3-T MR Images?

Radiology ◽  
2011 ◽  
Vol 258 (2) ◽  
pp. 488-495 ◽  
Author(s):  
Baris Turkbey ◽  
Vijay P. Shah ◽  
Yuxi Pang ◽  
Marcelino Bernardo ◽  
Sheng Xu ◽  
...  
Keyword(s):  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Risk Scores ◽  
Mr Images ◽  
Clinical Risk ◽  
Apparent Diffusion ◽  
Prostate Cancers

Quantitative brain histogram of canine epilepsy using magnetic resonance imaging

2020 ◽  
pp. 028418512091403
Author(s):  
Somkiat Huaijantug ◽  
Paranee Yatmark ◽  
Phanupong Chinnabrut ◽  
Nutruja Rueangsawat ◽  
Avirut Wongkumlue ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Diffusion Coefficient ◽  
Magnetic Resonance ◽  
Apparent Diffusion Coefficient ◽  
Diffusion Weighted Imaging ◽  
Idiopathic Epilepsy ◽  
Resonance Imaging ◽  
Mr Images ◽  
Apparent Diffusion ◽  
The Brain

Background Quantitative magnetic resonance imaging (MRI) is used to study the anatomy of the brain in dogs with idiopathic epilepsy. Purpose To quantitate MRI images in terms of volumetric ratios and histogram analyses of the following regions of interest (ROI) in dogs with idiopathic epilepsy: frontal; parietal; temporal; piriform; thalamic; and hippocampal regions. Material and Methods Nine dogs with epilepsy and four healthy controls were evaluated. We examined the volumetric ratios and histogram analyses of six ROIs in all dogs. Results MR images, in T1-weighted, T2-weighted, FLAIR, diffusion-weighted imaging, and apparent diffusion coefficient sequences detected changes in 4/9 (44%) epileptic dogs found in 5/6 regions: frontal; parietal; temporal; piriform; and hippocampal regions. However, no such changes were observed in the thalamic region. Interestingly, the frontal and piriform volumetric ratios of epileptic dogs were significantly lower than those of control dogs. The histogram analyses in 4/6 regions were significantly increased in epileptic dogs. Conclusion Our results demonstrated MRI finding abnormalities in several regions of the brain in several sequences including T1-weighted, T2-weighted, FLAIR, diffusion-weighted imaging, and apparent diffusion coefficient in epileptic dogs. In several regions of the brain, atrophy may exist, and hyperintensity may be present on MR images in epileptic dogs. These findings suggest that the diagnostic yield of MRI, which is an advanced neuroimaging technique, is high in epileptic dogs and has good reliability and sensitivity in detecting abnormal areas in patients.

scholarly journals Solitary fibrous tumor of the pleura: Apparent diffusion coefficient (ADC) value and ADC map to predict malignant transformation

2007 ◽  
Vol 26 (1) ◽  
pp. 155-158 ◽  
Author(s):  
Tsutomu Inaoka ◽  
Koji Takahashi ◽  
Naoyuki Miyokawa ◽  
Yoshinobu Ohsaki ◽  
Tamio Aburano
Keyword(s):  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Malignant Transformation ◽  
Solitary Fibrous Tumor ◽  
Adc Value ◽  
Apparent Diffusion ◽  
Adc Map ◽  
Fibrous Tumor

Differentiation of prostate cancer and stromal hyperplasia in the transition zone with histogram analysis of the apparent diffusion coefficient

2017 ◽  
Vol 58 (12) ◽  
pp. 1528-1534 ◽  
Author(s):  
Liu Xiaohang ◽  
Zhou Bingni ◽  
Zhou Liangping ◽  
Peng Weijun ◽  
Yang Xiaoqun ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Transition Zone ◽  
B Value ◽  
Histogram Analysis ◽  
Apparent Diffusion ◽  
Adc Values ◽  
The Mean ◽  
Magnetic Resonance Imaging Mri

Background Prostate cancer and stromal hyperplasia (SH) in the transition zone (TZ) are difficult to discriminate by conventional magnetic resonance imaging (MRI) and diffusion-weighted imaging (DWI). Purpose To investigate the apparent diffusion coefficient (ADC) of prostate cancer and SH in the TZ with histogram analysis and the ability of ADC metrics to differentiate between these two tissues. Material and Methods Thirty-three cancer and 29 SH lesions in the TZ of 54 patients undergoing preoperative DWI (b-value 0, 1000 s/mm2) were analyzed. All the lesions on the MR images were localized based on histopathologic correlations. The 10th, 25th, and 50th percentiles, and the mean ADC values were calculated for the two tissues and compared. The efficiencies of the 10th, 25th, and 50th ADC percentiles in differentiating the two tissues were compared with that of the mean ADC with receiver operating characteristic (ROC) analysis. Results The 10th, 25th, and 50th percentiles and mean ADC values (×10−3 mm2/s) were 0.86 ± 0.15, 0.89 ± 0.16, 0.94 ± 0.16, and 1.03 ± 0.17 in SH and 0.64 ± 0.12, 0.69 ± 0.12, 0.72 ± 0.16, and 0.83 ± 0.15 in TZ cancer, respectively. The parameters were all significantly lower in cancer than SH. The 10th ADC percentile yielded an area under the ROC curve (AUC) of 0.87 for the differentiation of carcinomas from SH, which was higher than the mean ADC (0.80) ( P < 0.05), and the AUCs of the 25th (0.82) and 50th (0.83) percentiles exhibited no differences from those of the mean ADC ( P > 0.05). Conclusion Histogram analysis of ADC values may potentially improve the differentiation of prostate cancer from SH in the TZ.

Differentiation between hemangiomas and hepatocellular carcinomas with the apparent diffusion coefficient calculated from turboflash MR images

1995 ◽  
Vol 5 (2) ◽  
pp. 187-191 ◽  
Author(s):  
Takao Moteki ◽  
Hiroshi Ishizaka ◽  
Hiroyuki Horikoshi ◽  
Mitsuomi Matsumoto
Keyword(s):  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Mr Images ◽  
Hepatocellular Carcinomas ◽  
Apparent Diffusion

Quantitative Assessment of Water Diffusion Changes in Brains of Children with Neurofibromatosis Type I Using Apparent Diffusion Coefficient

2008 ◽  
Vol 21 (6) ◽  
pp. 839-843 ◽  
Author(s):  
W. Mizukoshi ◽  
E. Kozawa ◽  
A. Kuramochi ◽  
A. Uchino ◽  
F. Kimura
Keyword(s):  
Diffusion Coefficient ◽  
White Matter ◽  
Apparent Diffusion Coefficient ◽  
Neurofibromatosis Type ◽  
Type I ◽  
Mr Images ◽  
Frontal White Matter ◽  
Apparent Diffusion ◽  
Unpaired Student

We measured diffusion changes in the brains of children with neurofibromatosis type 1 (NF1). Using diffusion-weighted and conventional magnetic resonance (MR) images of 42 children with NF1 (19 girls, 23 boys; 7 months-16 years, mean 6.8 years) and 42 age-matched controls (20 boys, 22 girls; 6 months-17 years, mean, 6.9 years), we calculated the apparent diffusion coefficient (ADC) from the automatically generated ADC maps and placed regions of interest in the pons, middle cerebellar and cerebral peduncles, thalami, globus pallidi and frontal white matter. Evaluating only normal-appearing regions on conventional images, we compared mean ADCs using the unpaired Student t test. Means were not significantly different in frontal white matter but were larger in the other regions in the NF1 (P < 0.01). Although conventional MR showed normal intensity, ADCs of the pons, middle cerebellar and cerebral peduncles, thalami and globus pallidi were significantly larger in the NF1.

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