Whole‐volume apparent diffusion coefficient‐based entropy parameters for assessment of gastric cancer aggressiveness

To explore the role of whole‐volume apparent diffusion coefficient (ADC)‐based entropy parameters in the preoperative assessment of gastric cancer's aggressiveness.

[1]  Y. Doki,et al.  Accuracy of multidetector-row CT in diagnosing lymph node metastasis in patients with gastric cancer , 2015, European Radiology.

[2]  Bal Sanghera,et al.  Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice? , 2012, Insights into Imaging.

[3]  Song Liu,et al.  Apparent diffusion coefficient value of gastric cancer by diffusion-weighted imaging: correlations with the histological differentiation and Lauren classification. , 2014, European journal of radiology.

[4]  Mark J. Ratain,et al.  Tumour heterogeneity in the clinic , 2013, Nature.

[5]  H. Rusinek,et al.  Characterization of malignancy of adnexal lesions using ADC entropy: Comparison with mean ADC and qualitative DWI assessment , 2013, Journal of magnetic resonance imaging : JMRI.

[6]  A. Jemal,et al.  Global cancer statistics, 2012 , 2015, CA: a cancer journal for clinicians.

[7]  Liang Xu,et al.  Application of texture analysis based on apparent diffusion coefficient maps in discriminating different stages of rectal cancer , 2017, Journal of magnetic resonance imaging : JMRI.

[8]  A. Jemal,et al.  Global Cancer Statistics , 2011 .

[9]  Ying Chen,et al.  Whole-Lesion Apparent Diffusion Coefficient-Based Entropy-Related Parameters for Characterizing Cervical Cancers: Initial Findings. , 2016, Academic radiology.

[10]  H. Rusinek,et al.  Whole‐lesion apparent diffusion coefficient metrics as a marker of percentage Gleason 4 component within Gleason 7 prostate cancer at radical prostatectomy , 2015, Journal of magnetic resonance imaging : JMRI.

[11]  Sang Joon Park,et al.  Glioma: Application of Whole-Tumor Texture Analysis of Diffusion-Weighted Imaging for the Evaluation of Tumor Heterogeneity , 2014, PloS one.

[12]  C. V. D. Velde,et al.  Gastric cancer , 2009, The Lancet.

[13]  H. Zali,et al.  Gastric cancer: prevention, risk factors and treatment , 2011, Gastroenterology and hepatology from bed to bench.

[14]  Y. K. Park,et al.  Prognostic significance of the concomitant existence of lymphovascular and perineural invasion in locally advanced gastric cancer patients who underwent curative gastrectomy and adjuvant chemotherapy. , 2015, Japanese journal of clinical oncology.

[15]  S. Suo,et al.  Characterization of breast masses as benign or malignant at 3.0T MRI with whole‐lesion histogram analysis of the apparent diffusion coefficient , 2016, Journal of magnetic resonance imaging : JMRI.

[16]  G. Parker,et al.  Imaging Intratumor Heterogeneity: Role in Therapy Response, Resistance, and Clinical Outcome , 2014, Clinical Cancer Research.

[17]  Eun Sook Ko,et al.  Assessment of Invasive Breast Cancer Heterogeneity Using Whole-Tumor Magnetic Resonance Imaging Texture Analysis , 2016, Medicine.

[18]  H. Hricak,et al.  Haralick texture analysis of prostate MRI: utility for differentiating non-cancerous prostate from prostate cancer and differentiating prostate cancers with different Gleason scores , 2015, European Radiology.

[19]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[20]  Hao Wang,et al.  Correlation between apparent diffusion coefficients and HER2 status in gastric cancers: pilot study , 2015, BMC Cancer.

[21]  Hao Wang,et al.  Preoperative apparent diffusion coefficient value of gastric cancer by diffusion‐weighted imaging: Correlations with postoperative TNM staging , 2015, Journal of magnetic resonance imaging : JMRI.

[22]  Rui Bi,et al.  Apparent Diffusion Coefficient (ADC) Value: A Potential Imaging Biomarker That Reflects the Biological Features of Rectal Cancer , 2014, PloS one.

[23]  L. Graziosi,et al.  Prognostic value of the seventh AJCC/UICC TNM classification of non-cardia gastric cancer , 2013, World Journal of Surgical Oncology.

[24]  Qiang Li,et al.  Added value of diffusion-weighted MR imaging to T2-weighted and dynamic contrast-enhanced MR imaging in T staging of gastric cancer. , 2014, Clinical imaging.

[25]  A. Vestri,et al.  Preoperative T and N staging of gastric cancer: magnetic resonance imaging (MRI) versus multi detector computed tomography (MDCT). , 2010, La Clinica terapeutica.

[26]  S. Sakamoto,et al.  Apparent diffusion coefficient value for estimating clinicohistological factors in bladder cancer including infiltration style and lymphatic invasion , 2016, SpringerPlus.

[27]  D. Choi,et al.  Upper abdominal gadoxetic acid-enhanced and diffusion-weighted MRI for the detection of gastric cancer: Comparison with two-dimensional multidetector row CT. , 2014, Clinical radiology.

[28]  M. Salvatore,et al.  Gastric Cancer: The Role of Diffusion Weighted Imaging in the Preoperative Staging , 2014, Cancer investigation.

[29]  N. Just,et al.  Improving tumour heterogeneity MRI assessment with histograms , 2014, British Journal of Cancer.

[30]  Shan Wang,et al.  Evaluation of the seventh AJCC TNM staging system for gastric cancer: a meta-analysis of cohort studies , 2014, Tumor Biology.