scholarly journals A new computer-aided method for detecting brain metastases on contrast-enhanced MR images

2014 ◽  
Vol 8 (2) ◽  
pp. 491-505 ◽  
Author(s):  
Hyeuknam Kwon ◽  
◽  
Yoon Mo Jung ◽  
Jaeseok Park ◽  
Jin Keun Seo ◽  
...  
Keyword(s):  
Brain Metastases ◽  
Mr Images ◽  
Contrast Enhanced ◽  
Computer Aided

scholarly journals Deep Learning-Based Computer-Aided Detection System for Automated Treatment Response Assessment of Brain Metastases on 3D MRI

2021 ◽  
Vol 11 ◽  
Author(s):  
Jungheum Cho ◽  
Young Jae Kim ◽  
Leonard Sunwoo ◽  
Gi Pyo Lee ◽  
Toan Quang Nguyen ◽  
...  
Keyword(s):  
Deep Learning ◽  
Brain Metastases ◽  
Treatment Response ◽  
Response Assessment ◽  
Computer Aided Detection ◽  
Mr Images ◽  
Test Set ◽  
One Dimensional ◽  
Computer Aided ◽  
Treatment Response Assessment

BackgroundAlthough accurate treatment response assessment for brain metastases (BMs) is crucial, it is highly labor intensive. This retrospective study aimed to develop a computer-aided detection (CAD) system for automated BM detection and treatment response evaluation using deep learning.MethodsWe included 214 consecutive MRI examinations of 147 patients with BM obtained between January 2015 and August 2016. These were divided into the training (174 MR images from 127 patients) and test datasets according to temporal separation (temporal test set #1; 40 MR images from 20 patients). For external validation, 24 patients with BM and 11 patients without BM from other institutions were included (geographic test set). In addition, we included 12 MRIs from BM patients obtained between August 2017 and March 2020 (temporal test set #2). Detection sensitivity, dice similarity coefficient (DSC) for segmentation, and agreements in one-dimensional and volumetric Response Assessment in Neuro-Oncology Brain Metastases (RANO-BM) criteria between CAD and radiologists were assessed.ResultsIn the temporal test set #1, the sensitivity was 75.1% (95% confidence interval [CI]: 69.6%, 79.9%), mean DSC was 0.69 ± 0.22, and false-positive (FP) rate per scan was 0.8 for BM ≥ 5 mm. Agreements in the RANO-BM criteria were moderate (κ, 0.52) and substantial (κ, 0.68) for one-dimensional and volumetric, respectively. In the geographic test set, sensitivity was 87.7% (95% CI: 77.2%, 94.5%), mean DSC was 0.68 ± 0.20, and FP rate per scan was 1.9 for BM ≥ 5 mm. In the temporal test set #2, sensitivity was 94.7% (95% CI: 74.0%, 99.9%), mean DSC was 0.82 ± 0.20, and FP per scan was 0.5 (6/12) for BM ≥ 5 mm.ConclusionsOur CAD showed potential for automated treatment response assessment of BM ≥ 5 mm.

scholarly journals Apparent Diffusion Coefficient in Invasive Ductal Breast Carcinoma: Correlation with Detailed Histologic Features and the Enhancement Ratio on Dynamic Contrast-Enhanced MR Images

2010 ◽  
Vol 2010 ◽  
pp. 1-6 ◽  
Author(s):  
Roka Namoto Matsubayashi ◽  
Teruhiko Fujii ◽  
Kotaro Yasumori ◽  
Toru Muranaka ◽  
Seiya Momosaki
Keyword(s):  
Diffusion Coefficient ◽  
Growth Patterns ◽  
Breast Carcinomas ◽  
Mr Images ◽  
Cellular Density ◽  
Dynamic Contrast Enhanced ◽  
Diffusion Weighted Images ◽  
Architectural Features ◽  
Contrast Enhanced ◽  
Adc Values

Purpose. To investigate the correlation of Apperent Diffusion Coefficient (ADC) values in invasive ductal breast carcinomas with detailed histologic features and enhancement ratios on dynamic contrast-enhanced MRI.Methods and Materials. Dynamic MR images and diffusion-weighted images (DWIs) of invasive ductal breast carcinomas were reviewed in 25 (26 lesions) women. In each patient, DWI, T2WI, T1WI, and dynamic images were obtained. The ADC values of the 26 carcinomas were calculated with b-factors of 0 and 1000 s/ using echoplanar DWI. Correlations of the ADC values were examined on dynamic MRI with enhancement ratios (early to delayed phase: E/D ratio) and detailed histologic findings for each lesion, including cellular density, the size of cancer nests, and architectural features of the stroma (broad, narrow, and delicate) between cancer nests.Results. The mean ADC was  /sec. Cellular density was significantly correlated with ADC values () and E/D ratios (). The ADC values were also significantly correlated to features of the stroma (broad to narrow, ).Conclusion. The findings suggest that DWIs reflect the growth patterns of carcinomas, including cellular density and architectural features of the stroma, and E/D ratios may also be closely correlated to cellular density.

Contrast-enhanced Magnetic Resonance Imaging of Brain Metastases at 7.0T versus 1.5T: A Preliminary Result

2015 ◽  
Vol 19 (1) ◽  
pp. 31
Author(s):  
Sun Ha Paek ◽  
Jhi-Hoon Kim ◽  
Sung-Hong Choi ◽  
Tae-Jin Yoon ◽  
Young Don Son ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Brain Metastases ◽  
Resonance Imaging ◽  
Contrast Enhanced

scholarly journals A Case of Schwannoma of the Submandibular Region

2018 ◽  
Vol 12 (1) ◽  
pp. 12-18 ◽  
Author(s):  
Babatunde O. Bamgbose ◽  
Akiko Sato ◽  
Yoshinobu Yanagi ◽  
Miki Hisatomi ◽  
Yohei Takeshita ◽  
...  
Keyword(s):  
Diagnostic Imaging ◽  
Hypoglossal Nerve ◽  
Salivary Gland Tumor ◽  
Dynamic Mri ◽  
Final Diagnosis ◽  
Mr Images ◽  
Submandibular Region ◽  
Contrast Enhanced ◽  
Mobile Mass ◽  
Ct And Mri

Background:We herein described a rare case of schwannoma of the hypoglossal nerve in the submandibular region with diagnostic imaging and histopathological findings.Case Report:A 31-years-old woman has had a palpable firm, rubbery, freely mobile mass in the submandibular region. Of imaging, MR images showed homogeneous isointensity on T1-weighted imaging (T1-WI), heterogeneous hypointensity on T2-WI, heterogeneous hyperintensity on short T1 inversion recovery (STIR), and heterogeneous enhancement on contrast-enhanced T1-WI. A clear capsule was observed on the margin and showed hypointense on T2-WI. Dynamic MRI showed heterogeneous gradual increased enhancement. The uptake of contrast medium was regionally slow. Diagnostic imaging using CT and MRI was suspected of salivary gland tumor or neurogenic tumor. In consideration of imaging diagnosis, a pleomorphic adenoma or a schwannoma was suspected. Final diagnosis was confirmed on the basis of histopathological finding and intraoperative findings.Conclusion:1. Histopathologic examination is inevitable, because MR findings are not specific.2. Schwannomas were said to have specific MRI properties, including specific signs (split-fat sign, fascicular sign, target sign). However, they are not always observed.3. This case confirmed the differential diagnosis on the basis of the intraoperative finding that the tumor was continuous with the hypoglossal nerve.

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