影像组学在结直肠癌肝转移诊治中的研究进展
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摘要
<正>结直肠癌是消化系统最常见的恶性肿瘤之一,近年发病率及死亡率呈上升趋势,在我国,其发病率在男性和女性恶性肿瘤中分别居第5位和第4位,死亡率在恶性肿瘤中居第5位~([1])。结直肠癌患者的生存期与肿瘤分期明显相关,病变局限于原位者5年生存率约为90%,而伴有局部和远处转移者5年生存率为
引文
[1]Chen W,Zheng R,Baade PD,et al.Cancer statistics in China,2015.CA Cancer J Clin,2016,66(2):115-132.
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[3]Akgul O,Cetinkaya E,Ersoz S,et al.Role of surgery in colorectal cancer liver metastases.World J Gastroenterol,2014,20(20):6113-6122.
[4]蔡建强,蔡三军,秦新裕,等.结直肠癌肝转移诊断和综合治疗指南(2016).中国实用外科杂志,2016,11(8):858-869.
[5]王屹.结直肠癌肝转移影像学评估及意义.中国实用外科杂志,2016,36(4):391-396.
[6]Kim HJ,Lee SS,Byun JH,et al.Incremental value of liver MR imaging in patients with potentially curable colorectal hepatic metastasis detected at CT:a prospective comparison of diffusion-weighted imaging,gadoxetic acid-enhanced MRimaging,and a combination of both MR techniques.Radiology,2015,274(3):712-722.
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[8]Asato N,Tsurusaki M,Sofue K,et al.Comparison of gadoxetic acid-enhanced dynamic MR imaging and contrastenhanced computed tomography for preoperative evaluation of colorectal liver metastases.Jpn J Radiol,2017,35(4):197-205.
[9]Shady W,Kishore S,Gavane S,et al.Metabolic tumor volume and total lesion glycolysis on FDG-PET/CT can predict overall survival after(90)Y radioembolization of colorectal liver metastases:a comparison with SUVmax,SUVpeak,and RECIST 1.0.Eur J Radiol,2016,85(6):1224-1231.
[10]Kim JH,Joo I,Kim TY,et al.Diffusion-Related MRIparameters for assessing early treatment response of liver metastases to cytotoxic therapy in colorectal cancer.Am JRoentgenol,2016,207(3):W26-W32.
[11]张旭婷,刘琪,任基伟,等.宝石能谱CT成像在肝转移瘤诊断及疗效评价中的应用.医学综述,2014,20(5):888-891.
[12]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.
[13]Kumar V,Gu Y,Basu S,et al.Radiomics:the process and the challenges.Magn Reson Imaging,2012,30(9):1234-1248.
[14]Gillies RJ,Kinahan PE,Hricak H.Radiomics:images are more than pictures,they are data.Radiology,2016,278(2):563-577.
[15]黄燕琪,马泽兰,何兰,等.基于CT图像的纹理分析鉴别肝脏实性局灶性病变.中国医学影像学杂志,2016,24(4):289-292,297.
[16]李汉森,章强,齐海坤,等.基于增强MRI纹理分析区分非产褥期乳腺炎与非肿块样强化病灶乳腺癌.中国医学影像学杂志,2017,25(5):354-359.
[17]Huang YQ,Liang CH,He L,et al.Development and validation of a radiomics nomogram for preoperative prediction of lymph node metastasis in colorectal cancer.JClin Oncol,2016,34(18):2157-2164.
[18]Liang CS,Huang YQ,He L,et al.The development and validation of a CT-based radiomics signature for the preoperative discrimination of stage I-II and stage III-IVcolorectal cancer.Oncotarget,2016,7(21):31401-31412.
[19]Liu Z,Zhang XY,Shi YJ,et al.Radiomics analysis for evaluation of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer.Clin Cancer Res,2017,23(23):7253-7262.
[20]Ng F,Ganeshan B,Kozarski R,et al.Assessment of primary colorectal cancer heterogeneity by using Whole-Tumor texture analysis:contrast-enhanced CT texture as a biomarker of 5-year survival.Radiology,2013,266(1):177-184.
[21]Simpson AL,Doussot A,Creasy JM,et al.Computed tomography image texture:a noninvasive prognostic marker of hepatic recurrence after hepatectomy for metastatic colorectal cancer.Ann Surg Oncol,2017,24(9):2482-2490.
[22]Lambin P,Leijenaar RT,Deist TM,et al.Radiomics:the bridge between medical imaging and personalized medicine.Nat Rev Clin Oncol,2017,14(12):749-762.
[23]黄燕琪.基于结直肠原发病灶的CT纹理分析在检测同时性肝转移中的临床应用研究.广州:南方医科大学影像医学与核医学,2016.
[24]Engstrand J,Nilsson H,Stromberg C,et al.Colorectal cancer liver metastases-a population-based study on incidence,management and survival.BMC Cancer,2018,18(1):78.
[25]Wakai T,Shirai Y,Sakata J,et al.Histologic evaluation of intrahepatic micrometastases in patients treated with or without neoadjuvant chemotherapy for colorectal carcinoma liver metastasis.Int J Clin Exp Pathol,2012,5(4):308-314.
[26]Ganeshan B,Miles KA,Young RC.In search of biologic correlates for liver texture on portal-phase CT.Acad Radiol,2007,14(9):1058-1068.
[27]Ganeshan B,Miles KA,Young RC.Hepatic enhancement in colorectal cancer:texture analysis correlates with hepatic hemodynamics and patient survival.Acad Radiol,2007,14(12):1520-1530.
[28]Rao SX,Lambregts DM,Schnerr RS,et al.Whole-liver CTtexture analysis in colorectal cancer:does the presence of liver metastases affect the texture of the remaining liver?United European Gastroenterol J,2014,2(6):530-538.
[29]Beckers RC,Lambregts DM,Schnerr RS,et al.Whole liver CT texture analysis to predict the development of colorectal liver metastases-a multicentre study.Eur J Radiol,2017,92:64-71.
[30]Ganeshan B,Miles KA,Young RC.Texture analysis in noncontrast enhanced CT:impact of malignancy on texture in apparently disease-free areas of the liver.Eur J Radiol,2009,70(1):101-110.
[31]梁和月,阳朝霞,傅彩霞,等.全肝MRI直方图分析检测结直肠癌肝转移复发的价值.肿瘤影像学,2017,26(1):18-24.
[32]Beckers R,Beets-Tan R,Schnerr RS,et al.Whole-volume vs.segmental CT texture analysis of the liver to assess metachronous colorectal liver metastases.Abdom Radiol(NY),2017,42(11):2639-2645.
[33]Lee SJ,Zea R,Kim DH,et al.CT texture features of liver parenchyma for predicting development of metastatic disease and overall survival in patients with colorectal cancer.Eur Radiol,2018,28(4):1520-1528.
[34]Rao S X,Lambregts D M,Schnerr R S,et al.CT texture analysis in colorectal liver metastases:a better way than size and volume measurements to assess response to chemotherapy?United European Gastroenterol J,2016,4(2):257-263.
[35]Ahn SJ,Kim JH,Park SJ,et al.Prediction of the therapeutic response after FOLFOX and FOLFIRI treatment for patients with liver metastasis from colorectal cancer using computerized CT texture analysis.Eur J Radiol,2016,85(10):1867-1874.
[36]胡飞翔,胡婷丹,童彤,等.基于CT图像纹理分析评价结直肠癌肝转移新辅助治疗后疗效的价值.肿瘤影像学,2017,26(2):106-113.
[37]Zhang H,Li W,Hu F,et al.MR texture analysis:potential imaging biomarker for predicting the chemotherapeutic response of patients with colorectal liver metastases.Abdom Radiol(NY),2019,44(1):65-71.
[38]Miles KA,Ganeshan B,Griffiths MR,et al.Colorectal cancer:texture analysis of portal phase hepatic CT images as a potential marker of survival.Radiology,2009,250(2):444-452.
[39]Men K,Dai J,Li Y.Automatic segmentation of the clinical target volume and organs at risk in the planning CT for rectal cancer using deep dilated convolutional neural networks.Med Phys,2017,44(12):6377-6389.
[40]Bychkov D,Linder N,Turkki R,et al.Deep learning based tissue analysis predicts outcome in colorectal cancer.Sci Rep,2018,8(1):3395.
[2]Siegel RL,Miller KD,Fedewa SA,et al.Colorectal cancer statistics,2017.CA Cancer J Clin,2017,67(3):177-193.
[3]Akgul O,Cetinkaya E,Ersoz S,et al.Role of surgery in colorectal cancer liver metastases.World J Gastroenterol,2014,20(20):6113-6122.
[4]蔡建强,蔡三军,秦新裕,等.结直肠癌肝转移诊断和综合治疗指南(2016).中国实用外科杂志,2016,11(8):858-869.
[5]王屹.结直肠癌肝转移影像学评估及意义.中国实用外科杂志,2016,36(4):391-396.
[6]Kim HJ,Lee SS,Byun JH,et al.Incremental value of liver MR imaging in patients with potentially curable colorectal hepatic metastasis detected at CT:a prospective comparison of diffusion-weighted imaging,gadoxetic acid-enhanced MRimaging,and a combination of both MR techniques.Radiology,2015,274(3):712-722.
[7]Vreugdenburg TD,Ma N,Duncan JK,et al.Comparative diagnostic accuracy of hepatocyte-specific gadoxetic acid(Gd-EOB-DTPA)enhanced MR imaging and contrast enhanced CT for the detection of liver metastases:a systematic review and meta-analysis.Int J Colorectal Dis,2016,31(11):1739-1749.
[8]Asato N,Tsurusaki M,Sofue K,et al.Comparison of gadoxetic acid-enhanced dynamic MR imaging and contrastenhanced computed tomography for preoperative evaluation of colorectal liver metastases.Jpn J Radiol,2017,35(4):197-205.
[9]Shady W,Kishore S,Gavane S,et al.Metabolic tumor volume and total lesion glycolysis on FDG-PET/CT can predict overall survival after(90)Y radioembolization of colorectal liver metastases:a comparison with SUVmax,SUVpeak,and RECIST 1.0.Eur J Radiol,2016,85(6):1224-1231.
[10]Kim JH,Joo I,Kim TY,et al.Diffusion-Related MRIparameters for assessing early treatment response of liver metastases to cytotoxic therapy in colorectal cancer.Am JRoentgenol,2016,207(3):W26-W32.
[11]张旭婷,刘琪,任基伟,等.宝石能谱CT成像在肝转移瘤诊断及疗效评价中的应用.医学综述,2014,20(5):888-891.
[12]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.
[13]Kumar V,Gu Y,Basu S,et al.Radiomics:the process and the challenges.Magn Reson Imaging,2012,30(9):1234-1248.
[14]Gillies RJ,Kinahan PE,Hricak H.Radiomics:images are more than pictures,they are data.Radiology,2016,278(2):563-577.
[15]黄燕琪,马泽兰,何兰,等.基于CT图像的纹理分析鉴别肝脏实性局灶性病变.中国医学影像学杂志,2016,24(4):289-292,297.
[16]李汉森,章强,齐海坤,等.基于增强MRI纹理分析区分非产褥期乳腺炎与非肿块样强化病灶乳腺癌.中国医学影像学杂志,2017,25(5):354-359.
[17]Huang YQ,Liang CH,He L,et al.Development and validation of a radiomics nomogram for preoperative prediction of lymph node metastasis in colorectal cancer.JClin Oncol,2016,34(18):2157-2164.
[18]Liang CS,Huang YQ,He L,et al.The development and validation of a CT-based radiomics signature for the preoperative discrimination of stage I-II and stage III-IVcolorectal cancer.Oncotarget,2016,7(21):31401-31412.
[19]Liu Z,Zhang XY,Shi YJ,et al.Radiomics analysis for evaluation of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer.Clin Cancer Res,2017,23(23):7253-7262.
[20]Ng F,Ganeshan B,Kozarski R,et al.Assessment of primary colorectal cancer heterogeneity by using Whole-Tumor texture analysis:contrast-enhanced CT texture as a biomarker of 5-year survival.Radiology,2013,266(1):177-184.
[21]Simpson AL,Doussot A,Creasy JM,et al.Computed tomography image texture:a noninvasive prognostic marker of hepatic recurrence after hepatectomy for metastatic colorectal cancer.Ann Surg Oncol,2017,24(9):2482-2490.
[22]Lambin P,Leijenaar RT,Deist TM,et al.Radiomics:the bridge between medical imaging and personalized medicine.Nat Rev Clin Oncol,2017,14(12):749-762.
[23]黄燕琪.基于结直肠原发病灶的CT纹理分析在检测同时性肝转移中的临床应用研究.广州:南方医科大学影像医学与核医学,2016.
[24]Engstrand J,Nilsson H,Stromberg C,et al.Colorectal cancer liver metastases-a population-based study on incidence,management and survival.BMC Cancer,2018,18(1):78.
[25]Wakai T,Shirai Y,Sakata J,et al.Histologic evaluation of intrahepatic micrometastases in patients treated with or without neoadjuvant chemotherapy for colorectal carcinoma liver metastasis.Int J Clin Exp Pathol,2012,5(4):308-314.
[26]Ganeshan B,Miles KA,Young RC.In search of biologic correlates for liver texture on portal-phase CT.Acad Radiol,2007,14(9):1058-1068.
[27]Ganeshan B,Miles KA,Young RC.Hepatic enhancement in colorectal cancer:texture analysis correlates with hepatic hemodynamics and patient survival.Acad Radiol,2007,14(12):1520-1530.
[28]Rao SX,Lambregts DM,Schnerr RS,et al.Whole-liver CTtexture analysis in colorectal cancer:does the presence of liver metastases affect the texture of the remaining liver?United European Gastroenterol J,2014,2(6):530-538.
[29]Beckers RC,Lambregts DM,Schnerr RS,et al.Whole liver CT texture analysis to predict the development of colorectal liver metastases-a multicentre study.Eur J Radiol,2017,92:64-71.
[30]Ganeshan B,Miles KA,Young RC.Texture analysis in noncontrast enhanced CT:impact of malignancy on texture in apparently disease-free areas of the liver.Eur J Radiol,2009,70(1):101-110.
[31]梁和月,阳朝霞,傅彩霞,等.全肝MRI直方图分析检测结直肠癌肝转移复发的价值.肿瘤影像学,2017,26(1):18-24.
[32]Beckers R,Beets-Tan R,Schnerr RS,et al.Whole-volume vs.segmental CT texture analysis of the liver to assess metachronous colorectal liver metastases.Abdom Radiol(NY),2017,42(11):2639-2645.
[33]Lee SJ,Zea R,Kim DH,et al.CT texture features of liver parenchyma for predicting development of metastatic disease and overall survival in patients with colorectal cancer.Eur Radiol,2018,28(4):1520-1528.
[34]Rao S X,Lambregts D M,Schnerr R S,et al.CT texture analysis in colorectal liver metastases:a better way than size and volume measurements to assess response to chemotherapy?United European Gastroenterol J,2016,4(2):257-263.
[35]Ahn SJ,Kim JH,Park SJ,et al.Prediction of the therapeutic response after FOLFOX and FOLFIRI treatment for patients with liver metastasis from colorectal cancer using computerized CT texture analysis.Eur J Radiol,2016,85(10):1867-1874.
[36]胡飞翔,胡婷丹,童彤,等.基于CT图像纹理分析评价结直肠癌肝转移新辅助治疗后疗效的价值.肿瘤影像学,2017,26(2):106-113.
[37]Zhang H,Li W,Hu F,et al.MR texture analysis:potential imaging biomarker for predicting the chemotherapeutic response of patients with colorectal liver metastases.Abdom Radiol(NY),2019,44(1):65-71.
[38]Miles KA,Ganeshan B,Griffiths MR,et al.Colorectal cancer:texture analysis of portal phase hepatic CT images as a potential marker of survival.Radiology,2009,250(2):444-452.
[39]Men K,Dai J,Li Y.Automatic segmentation of the clinical target volume and organs at risk in the planning CT for rectal cancer using deep dilated convolutional neural networks.Med Phys,2017,44(12):6377-6389.
[40]Bychkov D,Linder N,Turkki R,et al.Deep learning based tissue analysis predicts outcome in colorectal cancer.Sci Rep,2018,8(1):3395.