MRI-based radiomics of rectal cancer: preoperative assessment of the pathological features

[1] Ferlay J(2015)Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012 Int J Cancer 136 E359-E386

[2] Soerjomataram I(2016)Cancer statistics in China, 2015 CA Cancer J Clin 66 115-132

[3] Dikshit R(2018)Rectal Cancer, version 2.2018, NCCN clinical practice guidelines in oncology J Natl Compr Cancer Netw 16 874-901

[4] Eser S(2013)Prognostic significance of partial tumor regression after preoperative chemoradiotherapy for rectal cancer: a meta-analysis Dis Colon Rectum 56 1093-1101

[5] Mathers C(2016)Radiomics: images are more than pictures, They Are Data Radiology 278 563-577

[6] Rebelo M(2016)CT textural analysis of large primary renal cell carcinomas: pretreatment tumor heterogeneity correlates with histologic findings and clinical outcomes AJR Am J Roentgenol 207 96-105

[7] Chen W(2017)Textural analysis of multiparametric MRI detects transition zone prostate cancer Eur Radiol 27 2348-2358

[8] Zheng R(2017)A novel representation of inter-site tumour heterogeneity from pre-treatment computed tomography textures classifies ovarian cancers by clinical outcome Eur Radiol 27 3991-4001

[9] Baade PD(2017)Endometrial carcinoma: MR imaging-based texture model for preoperative risk stratification-a preliminary analysis Radiology. 284 748-757

[10] Zhang S(2018)Accuracy of various lymph node staging criteria in rectal Cancer with magnetic resonance imaging J Gastrointest Surg 22 146-153

[1] Ferlay J(2015)Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012 Int J Cancer 136 E359-E386

[2] Soerjomataram I(2016)Cancer statistics in China, 2015 CA Cancer J Clin 66 115-132

[3] Dikshit R(2018)Rectal Cancer, version 2.2018, NCCN clinical practice guidelines in oncology J Natl Compr Cancer Netw 16 874-901

[4] Eser S(2013)Prognostic significance of partial tumor regression after preoperative chemoradiotherapy for rectal cancer: a meta-analysis Dis Colon Rectum 56 1093-1101

[5] Mathers C(2016)Radiomics: images are more than pictures, They Are Data Radiology 278 563-577

[6] Rebelo M(2016)CT textural analysis of large primary renal cell carcinomas: pretreatment tumor heterogeneity correlates with histologic findings and clinical outcomes AJR Am J Roentgenol 207 96-105

[7] Chen W(2017)Textural analysis of multiparametric MRI detects transition zone prostate cancer Eur Radiol 27 2348-2358

[8] Zheng R(2017)A novel representation of inter-site tumour heterogeneity from pre-treatment computed tomography textures classifies ovarian cancers by clinical outcome Eur Radiol 27 3991-4001

[9] Baade PD(2017)Endometrial carcinoma: MR imaging-based texture model for preoperative risk stratification-a preliminary analysis Radiology. 284 748-757

[10] Zhang S(2018)Accuracy of various lymph node staging criteria in rectal Cancer with magnetic resonance imaging J Gastrointest Surg 22 146-153