A nomogram model based on MRI and radiomic features developed and validated for the evaluation of lymph node metastasis in patients with rectal cancer

[1] Sung H(2021)Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries CA Cancer J Clin. 71 209-249

[2] Ferlay J(2022)Trends in Early-onset vs Late-onset Colorectal Cancer Incidence by Race/Ethnicity in the United States Cancer Statistics Database Clin Gastroenterol Hepatol. 20 e1365-e1377

[3] Siegel RL(2016)Cancer statistics in China, 2015 CA Cancer J Clin. 66 115-132

[4] Laversanne M(2018)The Application of Gene Expression Profiling in Predictions of Occult Lymph Node Metastasis in Colorectal Cancer Patients Biomedicines. 6 27-691

[5] Soerjomataram I(2017)Global patterns and trends in colorectal cancer incidence and mortality Gut. 66 683-488

[6] Chang SH(2014)MRI for assessing and predicting response to neoadjuvant treatment in rectal cancer Nat Rev Gastroenterol Hepatol. 11 480-811

[7] Patel N(2020)The efficacy of 18F-FDG PET/CT-based diagnostic model in the diagnosis of colorectal cancer regional lymph node metastasis Saudi J Biol Sci. 27 805-4241

[8] Du M(2019)MRI-based radiomics of rectal cancer: preoperative assessment of the pathological features BMC Med Imaging. 19 86-476

[9] Liang PS(2020)A clinical-radiomics nomogram for the preoperative prediction of lymph node metastasis in colorectal cancer J Transl Med. 18 46-iv40

[10] Chen W(2002)Comparative detection of lymph node micrometastases of stage II colorectal cancer by reverse transcriptase polymerase chain reaction and immunohistochemistry J Clin Oncol. 20 4232-2597

[1] Sung H(2021)Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries CA Cancer J Clin. 71 209-249

[2] Ferlay J(2022)Trends in Early-onset vs Late-onset Colorectal Cancer Incidence by Race/Ethnicity in the United States Cancer Statistics Database Clin Gastroenterol Hepatol. 20 e1365-e1377

[3] Siegel RL(2016)Cancer statistics in China, 2015 CA Cancer J Clin. 66 115-132

[4] Laversanne M(2018)The Application of Gene Expression Profiling in Predictions of Occult Lymph Node Metastasis in Colorectal Cancer Patients Biomedicines. 6 27-691

[5] Soerjomataram I(2017)Global patterns and trends in colorectal cancer incidence and mortality Gut. 66 683-488

[6] Chang SH(2014)MRI for assessing and predicting response to neoadjuvant treatment in rectal cancer Nat Rev Gastroenterol Hepatol. 11 480-811

[7] Patel N(2020)The efficacy of 18F-FDG PET/CT-based diagnostic model in the diagnosis of colorectal cancer regional lymph node metastasis Saudi J Biol Sci. 27 805-4241

[8] Du M(2019)MRI-based radiomics of rectal cancer: preoperative assessment of the pathological features BMC Med Imaging. 19 86-476

[9] Liang PS(2020)A clinical-radiomics nomogram for the preoperative prediction of lymph node metastasis in colorectal cancer J Transl Med. 18 46-iv40

[10] Chen W(2002)Comparative detection of lymph node micrometastases of stage II colorectal cancer by reverse transcriptase polymerase chain reaction and immunohistochemistry J Clin Oncol. 20 4232-2597