Contrast-enhanced dynamic and diffusion-weighted MR imaging at 3.0T to assess aggressiveness of bladder cancer

Zhou, Guangxi; Chen, Xiao; Zhang, Jianhua; Zhu, Jinxia; Zong, Genlin; Wang, Zhongqiu

doi:10.1016/j.ejrad.2014.08.012

Cited by 50 publications

(32 citation statements)

References 21 publications

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“…Zhou et al reported the DWI‐derived ADC value in low‐aggressive bladder cancer was significantly higher than that in intermediate‐aggressive tumor tissue ( P < 0.001). In this study, we also observed significant differences in IVIM‐derived ADC and D values between low‐ and intermediate‐aggressive bladder urothelial carcinoma ( P < 0.05).…”

Section: Discussionmentioning

confidence: 99%

Utility of intravoxel incoherent motion MRI derived parameters for prediction of aggressiveness in urothelial bladder carcinoma

Zhang

Chen

Cong

et al. 2018

Magnetic Resonance Imaging

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Section: Discussionmentioning

confidence: 99%

Utility of intravoxel incoherent motion MRI derived parameters for prediction of aggressiveness in urothelial bladder carcinoma

Zhang

Chen

Cong

et al. 2018

Magnetic Resonance Imaging

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“…Over-staging and under-staging are the drawbacks of both methods. Various previous studies on bladder and breast cancer demonstrated that the sensitivity and accuracy could be increased by using DCE-MRI and DWI together (14,15). To the best of our knowledge, no study has combined DCE-MRI and DWI together in the diagnosis and staging of early NPC patients.…”

Section: Introductionmentioning

confidence: 99%

Contrast-enhanced dynamic and diffusion-weighted magnetic resonance imaging at 3.0ï¿½T to assess early-stageï¿½nasopharyngeal carcinoma

Liu

2018

Oncol Lett

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Abstract. The present study aimed to assess early-stage nasopharyngeal carcinoma (NPC) with dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and diffusion-weighted imaging (DWI) at 3.0 T. A total of 44 patients newly diagnosed with NPC were included in the present study. All patients underwent MR examination at 3.0 T using DCE-MRI and DWI. The volume transfer constant (K trans ), flux rate constant between extravascular extracellular space and plasma (K ep ), the volume of extravascular extracellular space per unit volume of tissue (V e ) and the apparent diffusion coefficient (ADC) of tumours were investigated. Furthermore, the correlation between clinical stages and ADC value and K trans were analysed. The diagnostic accuracy of K trans and ADC were estimated using receiver operating characteristic curves. NPC stage correlated positively with K trans and negatively with ADC values. Additionally, tumour K trans negatively correlated with ADC value. The sensitivity and accuracy of combined K trans and ADC in distinguishing between stage II and stage III and stage III and IV were higher than the values of either measurement used separately. The present study suggested that K trans and ADC derived from DCE-MRI and DWI may be useful to detect stage early NPC accurately. K trans and ADC in combination were superior than either alone. IntroductionAmong head and neck cancers, nasopharyngeal carcinoma (NPC) has a distinct natural history, aetiology, histopathology, and epidemiology. Male and female incidence of approximately 3:1. Most patients diagnosed with NPC tend to present with stage III or IV disease as a result of its deep location and vague symptoms (1-3). Radiation therapy and chemoradiotherapy are the primary methods of treatment (4), and are administered according to the clinical stage (5), making early diagnosis and staging crucial.Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) has proven useful in characterization of tumour microcirculation and microvascular density. It can delineate the tumour margin from the surrounding tissues (6). DCE-MRI was proved useful in field of differential diagnosis benign and malignant tumours, correlation with tumour grade and stage, early prediction response, and outcome to chemotherapy, radiotherapy and antiangiogenic therapy. Diffusion-weighted imaging (DWI) can indirectly reflect the cell density and microstructure of living tissue (7). Magnetic resonance imaging may be the most powerful and versatile modality in the field of oncology for staging, predicting of treatment response, and identifying disease relapse, particularly in head and neck cancer (8-13). Over-staging and under-staging are the drawbacks of both methods. Various previous studies on bladder and breast cancer demonstrated that the sensitivity and accuracy could be increased by using 15). To the best of our knowledge, no study has combined DCE-MRI and DWI together in the diagnosis and staging of early NPC patients. The purpose of the present study was to explore the feasibility...

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“…Anatomic magnetic resonance imaging (MRI) techniques have shown potential to determine tumor location and invasion, while functional MRI techniques, especially the diffusion‐weighted (DW) imaging and associated apparent diffusion coefficient (ADC), have exhibited capability in assessing biological behaviors such as cellularity and demonstrated their usefulness in bladder cancer management, especially in grade assessment . Previous studies indicated an inverse correlation between ADC values and tumor grades, and the ADC value may in part predict the histologic grade of bladder cancer.…”

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confidence: 99%

Radiomics assessment of bladder cancer grade using texture features from diffusion‐weighted imaging

Zhang

Tian

et al. 2017

Magnetic Resonance Imaging

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Purpose To 1) describe textural features from diffusion-weighted images (DWI) and apparent diffusion coefficient (ADC) maps that can distinguish low-grade bladder cancer from high-grade one, and 2) propose a radiomics-based strategy for cancer grading using texture features. Materials and Methods 61 patients with bladder cancer (29 in high- and 32 in low-grade groups) were enrolled in this retrospective study. Histogram- and gray-level co-occurrence matrix (GLCM)-based radiomics features were extracted from cancerous volumes of interest (VOIs) on DWI and corresponding ADC maps of each patient acquired from 3.0T MR. Mann-Whitney U test was applied to select features with significant difference between low-and high-grade groups (p<0.05). Then support vector machine with recursive feature elimination (SVM-RFE) and classification strategy was adopted to find an optimal feature subset and then to establish a classification model for grading. Results A total 102 features were derived from each VOI and among them, 47 candidate features were selected, which showed significant inter-group difference (p<0.05). By the SVM-RFE method, an optimal feature subset including 22 features was further selected from candidate features. The SVM classifier using the optimal feature subset achieved the best performance in bladder cancer grading, with an area under the receiver operating characteristic curve, accuracy, sensitivity and specificity of 0.861, 82.9%, 78.4% and 87.1%, respectively. Conclusion Textural features from DWI and ADC maps can reflect the difference between low- and high-grade bladder cancer, especially those GLCM features from ADC maps. The proposed radiomics strategy using these features, combined with the SVM classifier, may better facilitate image-based bladder cancer grading preoperatively.

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Contrast-enhanced dynamic and diffusion-weighted MR imaging at 3.0T to assess aggressiveness of bladder cancer

Cited by 50 publications

References 21 publications

Utility of intravoxel incoherent motion MRI derived parameters for prediction of aggressiveness in urothelial bladder carcinoma

Utility of intravoxel incoherent motion MRI derived parameters for prediction of aggressiveness in urothelial bladder carcinoma

Contrast-enhanced dynamic and diffusion-weighted magnetic resonance imaging at 3.0ï¿½T to assess early-stageï¿½nasopharyngeal carcinoma

Radiomics assessment of bladder cancer grade using texture features from diffusion‐weighted imaging

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