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Cited by in F6Publishing
For: Peng Y, Tang H, Meng X, Shen Y, Hu D, Kamel I, Li Z. Histological grades of rectal cancer: whole-volume histogram analysis of apparent diffusion coefficient based on reduced field-of-view diffusion-weighted imaging. Quant Imaging Med Surg 2020;10:243-56. [PMID: 31956546 DOI: 10.21037/qims.2019.11.17] [Cited by in Crossref: 2] [Cited by in F6Publishing: 12] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Fang S, Zhu J, Wang Y, Zhou J, Wang G, Xu W, Zhang W. The value of whole-lesion histogram analysis based on field‑of‑view optimized and constrained undistorted single shot (FOCUS) DWI for predicting axillary lymph node status in early-stage breast cancer. BMC Med Imaging 2022;22. [DOI: 10.1186/s12880-022-00891-6] [Reference Citation Analysis]
2 Jiménez de los Santos ME, Reyes-Pérez JA, Domínguez Osorio V, Villaseñor-Navarro Y, Moreno-Astudillo L, Vela-Sarmiento I, Sollozo-Dupont I. Whole lesion histogram analysis of apparent diffusion coefficient predicts therapy response in locally advanced rectal cancer. World J Gastroenterol 2022; 28(23): 2609-2624 [DOI: 10.3748/wjg.v28.i23.2609] [Reference Citation Analysis]
3 Xiong Z, Geng Z, Lian S, Yin S, Xu G, Zhang Y, Dai Y, Zhao J, Ma L, Liu X, Zheng H, Zou C, Xie C. Discriminating rectal cancer grades using restriction spectrum imaging. Abdom Radiol (NY) 2022;47:2014-22. [PMID: 35368206 DOI: 10.1007/s00261-022-03500-w] [Reference Citation Analysis]
4 Ram Kim B, Kang Y, Lee J, Choi D, Joon Lee K, Mo Ahn J, Lee E, Woo Lee J, Sik Kang H. Tumor grading of soft tissue sarcomas: assessment with whole-tumor histogram analysis of apparent diffusion coefficient. European Journal of Radiology 2022. [DOI: 10.1016/j.ejrad.2022.110319] [Reference Citation Analysis]
5 Zhao L, Liang M, Yang Y, Xie L, Zhang H, Zhao X. The added value of full and reduced field-of-view apparent diffusion coefficient maps for the evaluation of extramural venous invasion in rectal cancer. Abdom Radiol (NY) 2022;47:48-55. [PMID: 34665287 DOI: 10.1007/s00261-021-03319-x] [Reference Citation Analysis]
6 Zhao L, Liang M, Yang Y, Zhao X, Zhang H. Histogram models based on intravoxel incoherent motion diffusion-weighted imaging to predict nodal staging of rectal cancer. Eur J Radiol 2021;142:109869. [PMID: 34303149 DOI: 10.1016/j.ejrad.2021.109869] [Cited by in F6Publishing: 4] [Reference Citation Analysis]
7 Liu Y, Wan L, Peng W, Zou S, Zheng Z, Ye F, Jiang J, Ouyang H, Zhao X, Zhang H. A magnetic resonance imaging (MRI)-based nomogram for predicting lymph node metastasis in rectal cancer: a node-for-node comparative study of MRI and histopathology. Quant Imaging Med Surg 2021;11:2586-97. [PMID: 34079725 DOI: 10.21037/qims-20-1049] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
8 Zhou Z, Lu J, Morelli JN, Hu D, Li Z, Xiao P, Hu X, Shen Y. Utility of noncontrast MRI in the detection and risk grading of gastrointestinal stromal tumor: a comparison with contrast-enhanced CT. Quant Imaging Med Surg 2021;11:2453-64. [PMID: 34079715 DOI: 10.21037/qims-20-578] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
9 Peng Y, Luo Y, Hu X, Shen Y, Hu D, Li Z, Kamel I. Quantitative T2*-Weighted Imaging and Reduced Field-of-View Diffusion-Weighted Imaging of Rectal Cancer: Correlation of R2* and Apparent Diffusion Coefficient With Histopathological Prognostic Factors. Front Oncol 2021;11:670156. [PMID: 34109120 DOI: 10.3389/fonc.2021.670156] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
10 Zhao L, Liang M, Shi Z, Xie L, Zhang H, Zhao X. Preoperative volumetric synthetic magnetic resonance imaging of the primary tumor for a more accurate prediction of lymph node metastasis in rectal cancer. Quant Imaging Med Surg 2021;11:1805-16. [PMID: 33936966 DOI: 10.21037/qims-20-659] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
11 Xu M, Tang Q, Li M, Liu Y, Li F. An analysis of Ki-67 expression in stage 1 invasive ductal breast carcinoma using apparent diffusion coefficient histograms. Quant Imaging Med Surg 2021;11:1518-31. [PMID: 33816188 DOI: 10.21037/qims-20-615] [Cited by in F6Publishing: 8] [Reference Citation Analysis]
12 Zhu Y, Zhou Y, Zhang W, Xue L, Li Y, Jiang J, Zhong Y, Wang S, Jiang L. Value of quantitative dynamic contrast-enhanced and diffusion-weighted magnetic resonance imaging in predicting extramural venous invasion in locally advanced gastric cancer and prognostic significance. Quant Imaging Med Surg 2021;11:328-40. [PMID: 33392032 DOI: 10.21037/qims-20-246] [Cited by in F6Publishing: 8] [Reference Citation Analysis]