Automatic ROI construction for analyzing time–signal intensity curve in dynamic contrast-enhanced MR imaging of the breast

2015 ◽  
Vol 9 (1) ◽  
pp. 30-36 ◽  
Author(s):  
Koya Fujimoto ◽  
Yasuyuki Ueda ◽  
Shohei Kudomi ◽  
Teppei Yonezawa ◽  
Yuki Fujimoto ◽  
...  
Keyword(s):  
Mr Imaging ◽  
Signal Intensity ◽  
Time Signal ◽  
Intensity Curve ◽  
Signal Intensity Curve ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced

Dynamic Contrast-Enhanced Magnetic Resonance Imaging as a Diagnostic Tool in the Assessment of Tumour Angiogenesis in Urinary Bladder Cancer

2019 ◽  
Vol 70 (3) ◽  
pp. 254-263 ◽  
Author(s):  
Omar Ahmad Hassanien ◽  
Rasha T. Abouelkheir ◽  
Mohamed Ibrahim Abou El-Ghar ◽  
Manal Ezzat Badawy ◽  
Samir Abdel-hakim El Gamal ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Signal Intensity ◽  
Bladder Tumour ◽  
Urinary Bladder Cancer ◽  
Time Signal ◽  
Intensity Curve ◽  
Tumour Angiogenesis ◽  
Signal Intensity Curve ◽  
Dce Mri ◽  
Contrast Enhanced

Purpose The aim of study is to assess the role of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and correlation with tumour angiogenesis in evaluation of urinary bladder cancer. Material and Methods The study included 81 patients with recent presumed diagnosis of bladder tumour or who came for follow up after management of histopathologically proven bladder cancer. All had DCE-MRI with time–signal intensity curve. The radiologic results then correlated with the histopathologic results using both haematoxylin and eosin stain and immuno-histochemical staining for localization and evaluation of CD34 immunoreactivity as a detector for the microvessel density (MVD) and tumour angiogenesis. Results Seventy-one cases were pathologically proven to be malignant: 41 cases (58%) showed type III time–signal intensity curve (descending); 22 cases (31%) showed type II (plateau); and 8 cases (11%) showed type I (ascending) curve. The sensitivity of DCE-MRI in stage T1 bladder tumour was 80%; in stage T2, it was (90.9%); and in stage T3, it was (96.9%). Overall accuracy of DCE-MRI in tumour staging was 89.5% and P = .001 (significant). Values more than the cutoff value = 76.13 MVD are cystitis with sensitivity (90%), specificity (91%), and P value is .001, which is statistically highly significant. Conclusion There is a strong positive association between DCE-MRI (staging and washout slope of the time–signal intensity curve) with histopathologic grade, tumour stage, and MVD in bladder cancer. So, DCE-MRI can be used as reliable technique in preoperative predictions of tumour behavior and affect the planning of antiangiogenetic therapy.

Rheumatoid Synovial Inflammation: Pixel-by-Pixel Dynamic Contrast-enhanced MR Imaging Time-Intensity Curve Shape Analysis—A Feasibility Study

Radiology ◽  
2009 ◽  
Vol 253 (1) ◽  
pp. 234-240 ◽  
Author(s):  
Christiaan van der Leij ◽  
Marleen G. H. van de Sande ◽  
Cristina Lavini ◽  
Paul P. Tak ◽  
Mario Maas
Keyword(s):  
Mr Imaging ◽  
Feasibility Study ◽  
Shape Analysis ◽  
Synovial Inflammation ◽  
Curve Shape ◽  
Intensity Curve ◽  
Time Intensity Curve ◽  
Dynamic Contrast Enhanced ◽  
Imaging Time ◽  
Contrast Enhanced
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