Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Global cancer statistics, et al. GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2020. https://doi.org/10.3322/caac.21660.
Biondi A, Lirosi MC, D’Ugo D, Fico V, Ricci R, Santullo F, et al. Neo-adjuvant chemo(radio)therapy in gastric cancer: Current status and future perspectives. World J Gastrointest Oncol. 2015;7(12):389–400.
Fukagawa T, Katai H, Mizusawa J, Nakamura K, Sano T, Terashima M, et al. A prospective multi-institutional validity study to evaluate the accuracy of clinical diagnosis of pathological stage III gastric cancer (JCOG1302A). Gastric Cancer. 2018;21(1):68–73.
Mortensen MB. Novel imaging strategies for upper gastrointestinal tract cancers. Expert Rev Gastroenterol Hepatol. 2015;9(3):295–303.
Seevaratnam R, Cardoso R, McGregor C, Lourenco L, Mahar A, Sutradhar R, et al. How useful is preoperative imaging for tumor, node, metastasis (TNM) staging of gastric cancer? A meta-analysis Gastric Cancer. 2012;15(Suppl 1):S3-18.
Giganti F, Tang L, Baba H. Gastric cancer and imaging biomarkers: Part 1 – a critical review of DW-MRI and CE-MDCT findings. Eur Radiol. 2019;29(4):1743–53.
Le Bihan D, Breton E, Lallemand D, Grenier P, Cabanis E, Laval-Jeantet M. MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders. Radiology. 1986;161(2):401–7.
Le Bihan D. Intravoxel incoherent motion imaging using steady-state free precession. Magn Reson Med. 1988;7(3):346–51.
Song XL, Kang HK, Jeong GW, Ahn KY, Jeong YY, Kang YJ, et al. Intravoxel incoherent motion diffusion-weighted imaging for monitoring chemotherapeutic efficacy in gastric cancer. World J Gastroenterol. 2016;22(24):5520–31.
Ji C, Zhang Q, Guan W, Guo T, Chen L, Liu S, et al. Role of intravoxel incoherent motion MR imaging in preoperative assessing HER2 status of gastric cancers. Oncotarget. 2017;8(30):49293–302.
Zuo HD, Zhang XM. Could intravoxel incoherent motion diffusion-weighted magnetic resonance imaging be feasible and beneficial to the evaluation of gastrointestinal tumors histopathology and the therapeutic response? World J Radiol. 2018;10(10):116–23.
Li HH, Sun B, Tan C, Li R, Fu CX, Grimm R, et al. The value of whole-tumor histogram and texture analysis using intravoxel incoherent motion in differentiating pathologic subtypes of locally advanced gastric cancer. Front Oncol. 2022;12: 821586.
Zhu Y, Jiang Z, Wang B, Li Y, Jiang J, Zhong Y, et al. Quantitative dynamic-enhanced mri and intravoxel incoherent motion diffusion-weighted imaging for prediction of the pathological response to neoadjuvant chemotherapy and the prognosis in locally advanced gastric cancer. Front Oncol. 2022;12: 841460.
Li J, Wang Y, Zhang HK, Xu SN, Chen XJ, Qu JR. The value of intravoxel incoherent motion diffusion-weighted imaging in predicting perineural invasion for resectable gastric cancer: a prospective study. Clin Radiol. 2023. https://doi.org/10.1016/j.crad.2023.09.014.
Li J, Yan LL, Zhang HK, Wang Y, Xu SN, Chen XJ, et al. Application of intravoxel incoherent motion diffusion-weighted imaging for preoperative knowledge of lymphovascular invasion in gastric cancer: a prospective study. Abdom Radiol. 2023;48(7):2207–18.
Zeng Q, Hong Y, Cheng J, Cai W, Zhuo H, Hou J, et al. Quantitative study of preoperative staging of gastric cancer using intravoxel incoherent motion diffusion-weighted imaging as a potential clinical index. Eur J Radiol. 2021;141: 109627.
Wang Y, Liu W, Yu Y, Liu JJ, Jiang L, Xue HD, et al. Prediction of the depth of tumor invasion in gastric cancer: potential role of CT radiomics. Acad Radiol. 2020;27(8):1077–84.
Matsushita M, Oi H, Murakami T, Takata N, Kim T, Kishimoto H, et al. Extraserosal invasion in advanced gastric cancer: evaluation with MR imaging. Radiology. 1994;192(1):87–91.
Oi H, Matsushita M, Murakami T, Nakamura H. Dynamic MR imaging for extraserosal invasion of advanced gastric cancer. Abdom Imaging. 1997;22(1):35–40.
Edge SB. AJCC cancer staging manual. Berlin: Springer; 2010.
DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;44(3):837–45.
Kim IY, Kim SW, Shin HC, Lee MS, Jeong DJ, Kim CJ, et al. MRI of gastric carcinoma: results of T and N-staging in an in vitro study. World J Gastroenterol. 2009;15(32):3992–8.
Huang Z, Xie DH, Guo L, Hu CH, Fang X, Meng Q, et al. The utility of MRI for pre-operative T and N staging of gastric carcinoma: a systematic review and meta-analysis. Br J Radiol. 2015;88(1050):20140552.
Renzulli M, Clemente A, Spinelli D, Ierardi AM, Marasco G, Farina D, et al. Gastric Cancer Staging: Is It Time for Magnetic Resonance Imaging? Cancers. 2020;12(6):1402.
De Vuysere S, Vandecaveye V, De Bruecker Y, Carton S, Vermeiren K, Tollens T, et al. Accuracy of whole-body diffusion-weighted MRI (WB-DWI/MRI) in diagnosis, staging and follow-up of gastric cancer, in comparison to CT: a pilot study. BMC Med Imaging. 2021;21(1):18.
Gai Q, Li X, Li N, Li L, Meng Z, Chen A. Clinical significance of multi-slice spiral CT, MRI combined with gastric contrast-enhanced ultrasonography in the diagnosis of T staging of gastric cancer. Clin Transl Oncol. 2021;23(10):2036–45.
Yan L, Qu J, Li J, Zhang H, Lu Y, Gao J. Predicting T and N staging of resectable gastric cancer according to whole tumor histogram analysis about a non-cartesian k-space acquisition DCE-MRI: a feasibility study. Cancer Manag Res. 2021;13:7951–60.
Liu S, Wang H, Guan W, Pan L, Zhou Z, Yu H, et al. Preoperative apparent diffusion coefficient value of gastric cancer by diffusion-weighted imaging: correlations with postoperative TNM staging. J Magn Reson Imaging. 2015;42(3):837–43.
Liu S, Zhang Y, Chen L, Guan W, Guan Y, Ge Y, et al. Whole-lesion apparent diffusion coefficient histogram analysis: significance in T and N staging of gastric cancers. BMC Cancer. 2017;17(1):665.
Soydan L, Demir AA, Torun M, Cikrikcioglu MA. Use of diffusion-weighted magnetic resonance imaging and apparent diffusion coefficient in gastric cancer staging. Curr Med Imaging. 2020;16(10):1278–89.
Lecler A, Duron L, Zmuda M, Zuber K, Bergès O, Putterman M, et al. Intravoxel incoherent motion (IVIM) 3 T MRI for orbital lesion characterization. Eur Radiol. 2021;31(1):14–23.
Kim AY, Kim HJ, Ha HK. Gastric cancer by multidetector row CT: preoperative staging. Abdom Imaging. 2005;30(4):465–72.
Kim HJ, Kim AY, Oh ST, Kim JS, Kim KW, Kim PN, et al. Gastric cancer staging at multi-detector row CT gastrography: comparison of transverse and volumetric CT scanning. Radiology. 2005;236(3):879–85.
Tan Y, Feng LJ, Huang YH, Xue JW, Long LL, Feng ZB. A comprehensive radiopathological nomogram for the prediction of pathological staging in gastric cancer using CT-derived and WSI-based features. Transl Oncol. 2024;40: 101864.
Liu S, Liang W, Huang P, Chen D, He Q, Ning Z, et al. Multi-modal analysis for accurate prediction of preoperative stage and indications of optimal treatment in gastric cancer. Radiol Med. 2023;128(5):509–19.
Cohen AD, Schieke MC, Hohenwalter MD, Schmainda KM. The effect of low b-values on the intravoxel incoherent motion derived pseudodiffusion parameter in liver. Magn Reson Med. 2015;73(1):306–11.
Add Comment