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For: Lu Z, Wang L, Xia K, Jiang H, Weng X, Jiang J, Wu M. Prediction of Clinical Pathologic Prognostic Factors for Rectal Adenocarcinoma: Volumetric Texture Analysis Based on Apparent Diffusion Coefficient Maps. J Med Syst 2019;43. [DOI: 10.1007/s10916-019-1464-5] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 2.3] [Reference Citation Analysis]
Number Citing Articles
1 Crimì F, Capelli G, Spolverato G, Bao QR, Florio A, Milite Rossi S, Cecchin D, Albertoni L, Campi C, Pucciarelli S, Stramare R. MRI T2-weighted sequences-based texture analysis (TA) as a predictor of response to neoadjuvant chemo-radiotherapy (nCRT) in patients with locally advanced rectal cancer (LARC). Radiol med 2020;125:1216-24. [DOI: 10.1007/s11547-020-01215-w] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 3.5] [Reference Citation Analysis]
2 Li M, Xu X, Qian P, Jiang H, Jiang J, Sun J, Lu Z. Texture Analysis in the Assessment of Rectal Cancer: Comparison of T2WI and Diffusion-Weighted Imaging. Comput Math Methods Med 2021;2021:9976440. [PMID: 34567237 DOI: 10.1155/2021/9976440] [Reference Citation Analysis]
3 Lu HC, Wang F, Yin JD. Texture Analysis Based on Sagittal Fat-Suppression and Transverse T2-Weighted Magnetic Resonance Imaging for Determining Local Invasion of Rectal Cancer.Front Oncol. 2020;10:1476. [PMID: 33014786 DOI: 10.3389/fonc.2020.01476] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
4 Palmisano A, Di Chiara A, Esposito A, Rancoita PMV, Fiorino C, Passoni P, Albarello L, Rosati R, Del Maschio A, De Cobelli F. MRI prediction of pathological response in locally advanced rectal cancer: when apparent diffusion coefficient radiomics meets conventional volumetry. Clin Radiol 2020;75:798.e1-798.e11. [PMID: 32712007 DOI: 10.1016/j.crad.2020.06.023] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [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, Xie L, Yang Y, Zhang H, Zhao X. Prediction of pathological prognostic factors of rectal cancer by relaxation maps from synthetic magnetic resonance imaging. Eur J Radiol 2021;138:109658. [PMID: 33744506 DOI: 10.1016/j.ejrad.2021.109658] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 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] [Reference Citation Analysis]
8 Coppola F, Mottola M, Lo Monaco S, Cattabriga A, Cocozza MA, Yuan JC, De Benedittis C, Cuicchi D, Guido A, Rojas Llimpe FL, D'Errico A, Ardizzoni A, Poggioli G, Strigari L, Morganti AG, Bazzoli F, Ricciardiello L, Golfieri R, Bevilacqua A. The Heterogeneity of Skewness in T2W-Based Radiomics Predicts the Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer. Diagnostics (Basel) 2021;11:795. [PMID: 33924854 DOI: 10.3390/diagnostics11050795] [Reference Citation Analysis]
9 Zhang K, Zheng Y, Huang H, Lei J. Preliminary Study on Predicting Pathological Staging and Immunohistochemical Markers of Rectal Cancer Based on ADC Histogram Analysis. Acad Radiol 2021;28 Suppl 1:S184-91. [PMID: 33676825 DOI: 10.1016/j.acra.2021.02.004] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]