Advances of gastric cancer in imaging study_CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY

Authors：

LIU Dan ,  WU Bing

Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, P. R. China;

Corresponding?author：

WU Bing, Email: bingwu69@163.com

Keywords：

gastric cancer; imaging; advance

DOI：

10.7507/1007-9424.201808007

Video：

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Objective To review study of various imaging examination methods for evaluating of gastric cancer. Method The recent and relevant literatures about the imaging examination methods for evaluating of gastric cancer were scrutinized and analyzed retrospectively. Results The imaging examination methods such as the barium meal, endoscopic ultrasonography, computed tomography (CT), magnetic resonance imaging, positron emission tomography-CT, were used to evaluate the gastric cancer, but with certain limitations. The new methods such as the dual-energy CT, radiomics, and so on, had become the focus of the clinical research. The imaging methods are of great significances in the evaluation of the gastric cancer before the surgery, peritoneal metastasis, chemoradiotherapy and neoadjuvant chemotherapy later. Conclusions Various imaging examination methods, used in evaluating of gastric cancer, play some important roles in clinical application. New methods such as dual-energy CT, radiomics, and so on, are with bright potentiality for clinical application.

Citation： LIU Dan, WU Bing. Advances of gastric cancer in imaging study. CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY, 2018, 25(9): 1124-1129. doi: 10.7507/1007-9424.201808007 Copy

1.	Chen W, Sun K, Zheng R, et al. Cancer incidence and mortality in China, 2014. Chin J Cancer Res, 2018, 30(1): 1-12.
2.	Siegel MJ, Kaza RK, Bolus DN, et al. White paper of the society of computed body tomography and magnetic resonance on dual-energy CT, Part 1: technology and terminology. J Comput Assist Tomogr, 2016, 40(6): 841-845.
3.	周帆, 陶舒敏. 體部 CT 和磁共振學會雙能量 CT 白皮書 (下). 國際醫學放射學雜志, 2017, 40(2): 189-194.
4.	Pan Z, Pang L, Ding B, et al. Gastric cancer staging with dual energy spectral CT imaging. PLoS One, 2013, 8(2): e53651.
5.	Chen X, Ren K, Liang P, et al. Association between spectral computed tomography images and clinicopathological features in advanced gastric adenocarcinoma. Oncol Lett, 2017, 14(6): 6664-6670.
6.	邢靜靜, 柴亞如, 高劍波, 等. 能譜 CT 在鑒別 T3 及 T4a 期胃癌中的應用價值. 中華胃腸外科雜志, 2016, 19(5): 580-584.
7.	陳麗紅, 段青, 薛蘊菁, 等. CT 能譜成像在術前評估胃癌患者病理類型的臨床價值. 中華放射學雜志, 2013, 47(7): 634-637.
8.	Bolus DN. Dual energy CT application in the abdomen. Curr Radiol Reports, 2013, 1(4): 269-276.
9.	裴麗美, 時高峰. 雙源 CT 能譜曲線對進展期胃癌的評價. 中華醫學會第十八次全國放射學學術會議論文匯編. 鄭州: 中華醫學會、中華醫學會放射學分會, 2011: 260-261.
10.	唐皓, 鄧克學, 趙英明, 等. 寶石 CT 能譜曲線在胃癌分化程度評估中的初步應用. 中華醫學雜志, 2014, 94(45): 3571-3574.
11.	Lambin P, Rios-Velazquez E, Leijenaar R, et al. Radiomics: extracting more information from medical images using advanced feature analysis. Eur J Cancer, 2012, 48(4): 441-446.
12.	Wang J, Yang X, Cai H, et al. Discrimination of breast cancer with microcalcifications on mammography by deep learning. Sci Rep, 2016, 6: 27327.
13.	Thawani R, Mclane M, Beig N, et al. Radiomics and radiogenomics in lung cancer: A review for the clinician. Lung Cancer, 2018, 115: 34-41.
14.	Ma Z, Fang M, Huang Y, et al. CT-based radiomics signature for differentiating Borrmann type Ⅳ gastric cancer from primary gastric lymphoma. Eur J Radiol, 2017, 91: 142-147.
15.	Hou Z, Yang Y, Li S, et al. Radiomic analysis using contrast-enhanced CT: predict treatment response to pulsed low dose rate radiotherapy in gastric carcinoma with abdominal cavity metastasis. Quant Imaging Med Surg, 2018, 8(4): 410-420.
16.	Nie RC, Yuan SQ, Chen XJ, et al. Endoscopic ultrasonography compared with multidetector computed tomography for the preoperative staging of gastric cancer: a meta-analysis. World J Surg Oncol, 2017, 15(1): 113.
17.	Lee DH, Kim SH, Joo I, et al. CT perfusion evaluation of gastric cancer: correlation with histologic type. Eur Radiol, 2018, 28(2): 487-495.
18.	Sun ZQ, Li XH, Cai W, et al. CT perfusion imaging of the stomach: a quantitative analysis according to different degrees of adenocarcinoma cell differentiation. Clin Imaging, 2016, 40(3): 558-562.
19.	朱勇, 何光武, 傅燕飛, 等. 多層螺旋 CT 灌注成像對胃癌病理分化程度評估的研究. 實用放射學雜志, 2015, 31(1): 75-77, 86.
20.	Liang JX, Bi XJ, Li XM, et al. Evaluation of multislice spiral computed tomography perfusion imaging for the efficacy of preoperative concurrent chemoradiotherapy in middle-aged and elderly patients with locally advanced gastric cancer. Med Sci Monit, 2018, 24: 235-245.
21.	Malibari N, Hickeson M, Lisbona R. PET/Computed tomography in the diagnosis and staging of gastric cancers. PET Clin, 2015, 10(3): 311-326.
22.	Yonemura Y, Bandou E, Kawamura T, et al. Quantitative prognostic indicators of peritoneal dissemination of gastric cancer. Eur J Surg Oncol, 2006, 32(6): 602-606.
23.	Chu KM, Kwok KF, Law S, et al. A prospective evaluation of catheter probe EUS for the detection of ascites in patients with gastric carcinoma. Gastrointest Endosc, 2004, 59(4): 471-474.
24.	Stell DA, Carter CR, Stewart I, et al. Prospective comparison of laparoscopy, ultrasonography and computed tomography in the staging of gastric cancer. Br J Surg, 1996, 83(9): 1260-1262.
25.	Kim SJ, Kim HH, Kim YH, et al. Peritoneal metastasis: detection with 16- or 64-detector row CT in patients undergoing surgery for gastric cancer. Radiology, 2009, 253(2): 407-415.
26.	Wang Z, Chen JQ. Imaging in assessing hepatic and peritoneal metastases of gastric cancer: a systematic review. BMC Gastroenterol, 2011, 11: 19.
27.	Low RN. MR imaging of the peritoneal spread of malignancy. Abdom Imaging, 2007, 32(3): 267-283.
28.	Low RN, Sebrechts CP, Barone RM, et al. Diffusion-weighted MRI of peritoneal tumors: comparison with conventional MRI and surgical and histopathologic findings—a feasibility study. AJR Am J Roentgenol, 2009, 193(2): 461-470.
29.	Choi JY, Shim KN, Kim SE, et al. The clinical value of 18F-fluorodeoxyglucose uptake on positron emission tomography/computed tomography for predicting regional lymph node metastasis and non-curative surgery in primary gastric carcinoma. Korean J Gastroenterol, 2014, 64(6): 340-347.
30.	Asencio F, Aguiló J, Salvador JL, et al. Video-laparoscopic staging of gastric cancer. A prospective multicenter comparison with noninvasive techniques. Surg Endosc, 1997, 11(12): 1153-1158.
31.	賀鋒, 葛宇曦, 陳林, 等. 人工神經網絡模型基于增強 CT 影像征象在評估胃癌腹膜微轉移中的應用. 南通大學學報 (醫學版), 2017, 37(3): 206-210.
32.	Park SR, Lee JS, Kim CG, et al. Endoscopic ultrasound and computed tomography in restaging and predicting prognosis after neoadjuvant chemotherapy in patients with locally advanced gastric cancer. Cancer, 2008, 112(11): 2368-2376.
33.	Yoshikawa T, Tanabe K, Nishikawa K, et al. Accuracy of CT staging of locally advanced gastric cancer after neoadjuvant chemotherapy: cohort evaluation within a randomized phase Ⅱ study. Ann Surg Oncol, 2014, 21(Suppl 3): S385-S389.
34.	Wang ZC, Wang C, Ding Y, et al. CT volumetry can potentially predict the local stage for gastric cancer after chemotherapy. Diagn Interv Radiol, 2017, 23(4): 257-262.
35.	Guo T, Yao F, Yang AM, et al. Endoscopic ultrasound in restaging and predicting pathological response for advanced gastric cancer patients after neoadjuvant chemotherapy. Asia Pac J Clin Oncol, 2014, 10(2): e28-e32.
36.	Redondo-Cerezo E, Martínez-Cara JG, Jiménez-Rosales R, et al. Endoscopic ultrasound in gastric cancer staging before and after neoadjuvant chemotherapy. A comparison with PET-CT in a clinical series. United European Gastroenterol J, 2017, 5(5): 641-647.
37.	唐磊, 孫應實, 李子禹, 等. 磁共振擴散加權成像表觀擴散系數值與局部進展期胃癌新輔助化療預后的關系. 中華胃腸外科雜志, 2015, 18(3): 221-226.
38.	Ott K, Herrmann K, Lordick F, et al. Early metabolic response evaluation by fluorine-18 fluorodeoxyglucose positron emission tomography allows in vivo testing of chemosensitivity in gastric cancer: longterm results of a prospective study. Clin Cancer Res, 2008, 14(7): 2012-2018.

1. Chen W, Sun K, Zheng R, et al. Cancer incidence and mortality in China, 2014. Chin J Cancer Res, 2018, 30(1): 1-12.
2. Siegel MJ, Kaza RK, Bolus DN, et al. White paper of the society of computed body tomography and magnetic resonance on dual-energy CT, Part 1: technology and terminology. J Comput Assist Tomogr, 2016, 40(6): 841-845.
3. 周帆, 陶舒敏. 體部 CT 和磁共振學會雙能量 CT 白皮書 (下). 國際醫學放射學雜志, 2017, 40(2): 189-194.
4. Pan Z, Pang L, Ding B, et al. Gastric cancer staging with dual energy spectral CT imaging. PLoS One, 2013, 8(2): e53651.
5. Chen X, Ren K, Liang P, et al. Association between spectral computed tomography images and clinicopathological features in advanced gastric adenocarcinoma. Oncol Lett, 2017, 14(6): 6664-6670.
6. 邢靜靜, 柴亞如, 高劍波, 等. 能譜 CT 在鑒別 T3 及 T4a 期胃癌中的應用價值. 中華胃腸外科雜志, 2016, 19(5): 580-584.
7. 陳麗紅, 段青, 薛蘊菁, 等. CT 能譜成像在術前評估胃癌患者病理類型的臨床價值. 中華放射學雜志, 2013, 47(7): 634-637.
8. Bolus DN. Dual energy CT application in the abdomen. Curr Radiol Reports, 2013, 1(4): 269-276.
9. 裴麗美, 時高峰. 雙源 CT 能譜曲線對進展期胃癌的評價. 中華醫學會第十八次全國放射學學術會議論文匯編. 鄭州: 中華醫學會、中華醫學會放射學分會, 2011: 260-261.
10. 唐皓, 鄧克學, 趙英明, 等. 寶石 CT 能譜曲線在胃癌分化程度評估中的初步應用. 中華醫學雜志, 2014, 94(45): 3571-3574.
11. Lambin P, Rios-Velazquez E, Leijenaar R, et al. Radiomics: extracting more information from medical images using advanced feature analysis. Eur J Cancer, 2012, 48(4): 441-446.
12. Wang J, Yang X, Cai H, et al. Discrimination of breast cancer with microcalcifications on mammography by deep learning. Sci Rep, 2016, 6: 27327.
13. Thawani R, Mclane M, Beig N, et al. Radiomics and radiogenomics in lung cancer: A review for the clinician. Lung Cancer, 2018, 115: 34-41.
14. Ma Z, Fang M, Huang Y, et al. CT-based radiomics signature for differentiating Borrmann type Ⅳ gastric cancer from primary gastric lymphoma. Eur J Radiol, 2017, 91: 142-147.
15. Hou Z, Yang Y, Li S, et al. Radiomic analysis using contrast-enhanced CT: predict treatment response to pulsed low dose rate radiotherapy in gastric carcinoma with abdominal cavity metastasis. Quant Imaging Med Surg, 2018, 8(4): 410-420.
16. Nie RC, Yuan SQ, Chen XJ, et al. Endoscopic ultrasonography compared with multidetector computed tomography for the preoperative staging of gastric cancer: a meta-analysis. World J Surg Oncol, 2017, 15(1): 113.
17. Lee DH, Kim SH, Joo I, et al. CT perfusion evaluation of gastric cancer: correlation with histologic type. Eur Radiol, 2018, 28(2): 487-495.
18. Sun ZQ, Li XH, Cai W, et al. CT perfusion imaging of the stomach: a quantitative analysis according to different degrees of adenocarcinoma cell differentiation. Clin Imaging, 2016, 40(3): 558-562.
19. 朱勇, 何光武, 傅燕飛, 等. 多層螺旋 CT 灌注成像對胃癌病理分化程度評估的研究. 實用放射學雜志, 2015, 31(1): 75-77, 86.
20. Liang JX, Bi XJ, Li XM, et al. Evaluation of multislice spiral computed tomography perfusion imaging for the efficacy of preoperative concurrent chemoradiotherapy in middle-aged and elderly patients with locally advanced gastric cancer. Med Sci Monit, 2018, 24: 235-245.
21. Malibari N, Hickeson M, Lisbona R. PET/Computed tomography in the diagnosis and staging of gastric cancers. PET Clin, 2015, 10(3): 311-326.
22. Yonemura Y, Bandou E, Kawamura T, et al. Quantitative prognostic indicators of peritoneal dissemination of gastric cancer. Eur J Surg Oncol, 2006, 32(6): 602-606.
23. Chu KM, Kwok KF, Law S, et al. A prospective evaluation of catheter probe EUS for the detection of ascites in patients with gastric carcinoma. Gastrointest Endosc, 2004, 59(4): 471-474.
24. Stell DA, Carter CR, Stewart I, et al. Prospective comparison of laparoscopy, ultrasonography and computed tomography in the staging of gastric cancer. Br J Surg, 1996, 83(9): 1260-1262.
25. Kim SJ, Kim HH, Kim YH, et al. Peritoneal metastasis: detection with 16- or 64-detector row CT in patients undergoing surgery for gastric cancer. Radiology, 2009, 253(2): 407-415.
26. Wang Z, Chen JQ. Imaging in assessing hepatic and peritoneal metastases of gastric cancer: a systematic review. BMC Gastroenterol, 2011, 11: 19.
27. Low RN. MR imaging of the peritoneal spread of malignancy. Abdom Imaging, 2007, 32(3): 267-283.
28. Low RN, Sebrechts CP, Barone RM, et al. Diffusion-weighted MRI of peritoneal tumors: comparison with conventional MRI and surgical and histopathologic findings—a feasibility study. AJR Am J Roentgenol, 2009, 193(2): 461-470.
29. Choi JY, Shim KN, Kim SE, et al. The clinical value of 18F-fluorodeoxyglucose uptake on positron emission tomography/computed tomography for predicting regional lymph node metastasis and non-curative surgery in primary gastric carcinoma. Korean J Gastroenterol, 2014, 64(6): 340-347.
30. Asencio F, Aguiló J, Salvador JL, et al. Video-laparoscopic staging of gastric cancer. A prospective multicenter comparison with noninvasive techniques. Surg Endosc, 1997, 11(12): 1153-1158.
31. 賀鋒, 葛宇曦, 陳林, 等. 人工神經網絡模型基于增強 CT 影像征象在評估胃癌腹膜微轉移中的應用. 南通大學學報 (醫學版), 2017, 37(3): 206-210.
32. Park SR, Lee JS, Kim CG, et al. Endoscopic ultrasound and computed tomography in restaging and predicting prognosis after neoadjuvant chemotherapy in patients with locally advanced gastric cancer. Cancer, 2008, 112(11): 2368-2376.
33. Yoshikawa T, Tanabe K, Nishikawa K, et al. Accuracy of CT staging of locally advanced gastric cancer after neoadjuvant chemotherapy: cohort evaluation within a randomized phase Ⅱ study. Ann Surg Oncol, 2014, 21(Suppl 3): S385-S389.
34. Wang ZC, Wang C, Ding Y, et al. CT volumetry can potentially predict the local stage for gastric cancer after chemotherapy. Diagn Interv Radiol, 2017, 23(4): 257-262.
35. Guo T, Yao F, Yang AM, et al. Endoscopic ultrasound in restaging and predicting pathological response for advanced gastric cancer patients after neoadjuvant chemotherapy. Asia Pac J Clin Oncol, 2014, 10(2): e28-e32.
36. Redondo-Cerezo E, Martínez-Cara JG, Jiménez-Rosales R, et al. Endoscopic ultrasound in gastric cancer staging before and after neoadjuvant chemotherapy. A comparison with PET-CT in a clinical series. United European Gastroenterol J, 2017, 5(5): 641-647.
37. 唐磊, 孫應實, 李子禹, 等. 磁共振擴散加權成像表觀擴散系數值與局部進展期胃癌新輔助化療預后的關系. 中華胃腸外科雜志, 2015, 18(3): 221-226.
38. Ott K, Herrmann K, Lordick F, et al. Early metabolic response evaluation by fluorine-18 fluorodeoxyglucose positron emission tomography allows in vivo testing of chemosensitivity in gastric cancer: longterm results of a prospective study. Clin Cancer Res, 2008, 14(7): 2012-2018.

CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY

Advances of gastric cancer in imaging study

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