中国普外基础与临床杂志

中国普外基础与临床杂志

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直肠癌新辅助治疗后的 MR 评估

伍兵 , 方鑫

四川大学华西医院放射科（成都 610041）

收稿日期: 2018-08-31;  修回日期:2018-09-29; 

通讯作者: 方鑫, Email: fxtracy@163.com

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引用本文： 伍兵, 方鑫. 直肠癌新辅助治疗后的 MR 评估. 中国普外基础与临床杂志, 2018, 25(11): 1299-1303. doi: 10.7507/1007-9424.201808104 复制

1. Maas M, Nelemans PJ, Valentini V, et al. Long-term outcome in patients with a pathological complete response after chemoradiation for rectal cancer: a pooled analysis of individual patient data. Lancet Oncol, 2010, 11(9): 835-844.
2. Renehan AG, Malcomson L, Emsley R, et al. Watch-and-wait approach versus surgical resection after chemoradiotherapy for patients with rectal cancer (the OnCoRe project): a propensity-score matched cohort analysis. Lancet Oncol, 2016, 17(2): 174-183.
3. Pham TT, Liney G, Wong K, et al. Study protocol: multi-parametric magnetic resonance imaging for therapeutic response prediction in rectal cancer. BMC Cancer, 2017, 17(1): 465.
4. Mandard AM, Dalibard F, Mandard JC, et al. Pathologic assessment of tumor regression after preoperative chemoradiotherapy of esophageal carcinoma. Clinicopathologic correlations. Cancer, 1994, 73(11): 2680-2686.
5. Dworak O, Keilholz L, Hoffmann A. Pathological features of rectal cancer after preoperative radiochemotherapy. Int J Colorectal Dis, 1997, 12(1): 19-23.
6. Siddiqui MR, Bhoday J, Battersby NJ, et al. Defining response to radiotherapy in rectal cancer using magnetic resonance imaging and histopathological scales. World J Gastroenterol, 2016, 22(37): 8414-8434.
7. Beets-Tan RG, Beets GL, Vliegen RF, et al. Accuracy of magnetic resonance imaging in prediction of tumour-free resection margin in rectal cancer surgery. Lancet, 2001, 357(9255): 497-504.
8. MERCURY Study Group, Shihab OC, Taylor F, et al. Relevance of magnetic resonance imaging-detected pelvic sidewall lymph node involvement in rectal cancer. Br J Surg, 2011, 98(12): 1798-1804.
9. Wang C, Zhou Z, Wang Z, et al. Patterns of neoplastic foci and lymph node micrometastasis within the mesorectum. Langenbecks Arch Surg, 2005, 390(4): 312-318.
10. Chen CC, Lee RC, Lin JK, et al. How accurate is magnetic resonance imaging in restaging rectal cancer in patients receiving preoperative combined chemoradiotherapy? Dis Colon Rectum, 2005, 48(4): 722-728.
11. van der Paardt MP, Zagers MB, Beets-Tan RG, et al. Patients who undergo preoperative chemoradiotherapy for locally advanced rectal cancer restaged by using diagnostic MR imaging: a systematic review and meta-analysis. Radiology, 2013, 269(1): 101-112.
12. Nougaret S, Reinhold C, Mikhael HW, et al. The use of MR imaging in treatment planning for patients with rectal carcinoma: have you checked the " DISTANCE”? Radiology, 2013, 268(2): 330-344.
13. Lambregts DM, Maas M, Stokkel MP, et al. Magnetic resonance imaging and other imaging modalities in diagnostic and tumor response evaluation. Semin Radiat Oncol, 2016, 26(3): 193-198.
14. Lambregts DM, Delli Pizzi A, Lahaye MJ, et al. A pattern-based approach combining tumor morphology on MRI with distinct signal patterns on diffusion-weighted imaging to assess response of rectal tumors after chemoradiotherapy. Dis Colon Rectum, 2018, 61(3): 328-337.
15. Barbaro B, Fiorucci C, Tebala C, et al. Locally advanced rectal cancer: MR imaging in prediction of response after preoperative chemotherapy and radiation therapy. Radiology, 2009, 250(3): 730-739.
16. Nougaret S, Rouanet P, Molinari N, et al. MR volumetric measurement of low rectal cancer helps predict tumor response and outcome after combined chemotherapy and radiation therapy. Radiology, 2012, 263(2): 409-418.
17. Lambregts DM, Rao SX, Sassen S, et al. MRI and diffusion-weighted MRI volumetry for identification of complete tumor responders after preoperative chemoradiotherapy in patients with rectal cancer: A Bi-institutional Validation Study. Ann Surg, 2015, 262(6): 1034-1039.
18. Jacobs L, Intven M, van Lelyveld N, et al. Diffusion-weighted MRI for early prediction of treatment response on preoperative chemoradiotherapy for patients with locally advanced rectal cancer: a feasibility study. Ann Surg, 2016, 263(3): 522-528.
19. Blazic IM, Lilic GB, Gajic MM. Quantitative assessment of rectal cancer response to neoadjuvant combined chemotherapy and radiation therapy: comparison of three methods of positioning region of interest for ADC measurements at diffusion-weighted MR imaging. Radiology, 2017, 282(2): 418-428.
20. Ha HI, Kim AY, Yu CS, et al. Locally advanced rectal cancer: diffusion-weighted MR tumour volumetry and the apparent diffusion coefficient for evaluating complete remission after preoperative chemoradiation therapy. Eur Radiol, 2013, 23(12): 3345-3353.
21. Kim SH, Lee JY, Lee JM, et al. Apparent diffusion coefficient for evaluating tumour response to neoadjuvant chemoradiation therapy for locally advanced rectal cancer. Eur Radiol, 2011, 21(5): 987-995.
22. Enkhbaatar NE, Inoue S, Yamamuro H, et al. MR imaging with apparent diffusion coefficient histogram analysis: evaluation of locally advanced rectal cancer after chemotherapy and radiation therapy. Radiology, 2018, 288(1): 129-137.
23. Bakke KM, Hole KH, Dueland S, et al. Diffusion-weighted magnetic resonance imaging of rectal cancer: tumour volume and perfusion fraction predict chemoradiotherapy response and survival. Acta Oncol, 2017, 56(6): 813-818.
24. Cai PQ, Wu YP, An X, et al. Simple measurements on diffusion-weighted MR imaging for assessment of complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. Eur Radiol, 2014, 24(11): 2962-2970.
25. Zhu HB, Zhang XY, Zhou XH, et al. Assessment of pathological complete response to preoperative chemoradiotherapy by means of multiple mathematical models of diffusion-weighted MRI in locally advanced rectal cancer: A prospective single-center study. J Magn Reson Imaging, 2017, 46(1): 175-183.
26. Maas M, Lambregts DM, Nelemans PJ, et al. Assessment of clinical complete response after chemoradiation for rectal cancer with digital rectal examination, endoscopy, and MRI: selection for organ-saving treatment. Ann Surg Oncol, 2015, 22(12): 3873-3880.
27. Tong T, Sun Y, Gollub MJ, et al. Dynamic contrast-enhanced MRI: Use in predicting pathological complete response to neoadjuvant chemoradiation in locally advanced rectal cancer. J Magn Reson Imaging, 2015, 42(3): 673-680.
28. Gollub MJ, Tong T, Weiser M, et al. Limited accuracy of DCE-MRI in identification of pathological complete responders after chemoradiotherapy treatment for rectal cancer. Eur Radiol, 2017, 27(4): 1605-1612.
29. Intven M, Reerink O, Philippens ME. Dynamic contrast enhanced MR imaging for rectal cancer response assessment after neo-adjuvant chemoradiation. J Magn Reson Imaging, 2015, 41(6): 1646-1653.
30. Hötker AM, Tarlinton L, Mazaheri Y, et al. Multiparametric MRI in the assessment of response of rectal cancer to neoadjuvant chemoradiotherapy: A comparison of morphological, volumetric and functional MRI parameters. Eur Radiol, 2016, 26(12): 4303-4312.
31. Prezzi D, Goh V. Rectal cancer magnetic resonance imaging: imaging beyond morphology. Clin Oncol (R Coll Radiol), 2016, 28(2): 83-92.
32. Kim MJ, Lee SJ, Lee JH, et al. Detection of rectal cancer and response to concurrent chemoradiotherapy by proton magnetic resonance spectroscopy. Magn Reson Imaging, 2012, 30(6): 848-853.
33. Nie K, Shi L, Chen Q, et al. Rectal cancer: assessment of neoadjuvant chemoradiation outcome based on radiomics of multiparametric MRI. Clin Cancer Res, 2016, 22(21): 5256-5264.
34. Horvat N, Veeraraghavan H, Khan M, et al. MR imaging of rectal cancer: radiomics analysis to assess treatment response after neoadjuvant therapy. Radiology, 2018, 287(3): 833-843.
35. Cusumano D, Dinapoli N, Boldrini L, et al. Fractal-based radiomic approach to predict complete pathological response after chemo-radiotherapy in rectal cancer. Radiol Med, 2018, 123(4): 286-295.