[1] |
Corradini S, Alongi F, Andratschke N, et al. MR-guidance in clinical reality: current treatment challenges and future perspectives[J]. Radiat Oncol(London, England), 2019, 14(1): 92.
|
[2] |
李明辉, 田源, 张可, 等. 1.5T磁共振加速器X线束剂量学特性测试[J]. 中华放射肿瘤学杂志, 2020, 29(11): 963-967.
|
[3] |
Maas M, Beets-Tan R, Lambregts D, et al. Wait-and-see policy for clinical complete responders after chemoradiation for rectal cancer[J]. J Clin Oncol, 2011, 29(35): 4633-4640.
|
[4] |
Smith J, Chow O, Gollub M, et al. Organ preservation in rectal adenocarcinoma: a phase II randomized controlled trial evaluating 3-year disease-free survival in patients with locally advanced rectal cancer treated with chemoradiation plus induction or consolidation chemotherapy, and total mesorectal excision or nonoperative management[J]. BMC Cancer, 2015, 15: 767.
|
[5] |
中国医师协会结直肠肿瘤专委会放疗专委会, 中华医学会放射肿瘤治疗学分会, 唐源, 等. 直肠癌术前/术后适形/调强放疗靶区勾画共识与图谱[J]. 中华放射肿瘤学杂志, 2018, 27(3): 227-234.
|
[6] |
Boldrini L, Placidi E, Dinapoli N, et al. Hybrid Tri-Co-60 MRI radiotherapy for locally advanced rectal cancer: An evaluation[J]. Tech Innov Patient Support Radiat Oncol, 2018, 6: 5-10.
|
[7] |
覃仕瑞, 程斌, 田源, 等. 医科达磁共振加速器初步临床实践[J]. 中华放射肿瘤学杂志, 2021, 30(7): 688-691.
|
[8] |
Chiloiro G, Boldrini L, Meldolesi E, et al. MR-guided radiotherapy in rectal cancer: First clinical experience of an innovative technology[J]. Clin Transl Radiat Oncol, 2019, 18: 80-86.
|
[9] |
Raaymakers B, Jürgenliemk-Schulz I, Bol G, et al. First patients treated with a 1.5 T MRI-Linac: clinical proof of concept of a high-precision, high-field MRI guided radiotherapy treatment[J]. Phys Med Biol, 2017, 62(23): L41-L50.
|
[10] |
Arivarasan I, Anuradha C, Subramanian S, et al. Magnetic resonance image guidance in external beam radiation therapy planning and delivery[J]. Jpn J Radiol, 2017, 35(8): 417-426.
|
[11] |
Tarulli E, Thipphavong S, Jhaveri K. A structured approach to reporting rectal cancer with magnetic resonance imaging[J]. Abdom Imaging, 2015, 40(8): 3002-3011.
|
[12] |
Beets-Tan R, Lambregts D, Maas M, et al. Magnetic resonance imaging for the clinical management of rectal cancer patients: recommendations from the 2012 European Society of Gastrointestinal and Abdominal Radiology (ESGAR) consensus meeting[J]. Eur Radiol, 2013, 23(9): 2522-2531.
|
[13] |
Burbach J, den Harder A, Intven M, et al. Impact of radiotherapy boost on pathological complete response in patients with locally advanced rectal cancer: a systematic review and meta-analysis[J]. Radiother Oncol, 2014, 113(1): 1-9.
|
[14] |
Appelt A, Pløen J, Vogelius I, et al. Radiation dose-response model for locally advanced rectal cancer after preoperative chemoradiation therapy[J]. Int J Radiat Oncol Biol Phys, 2013, 85(1): 74-80.
|
[15] |
Jakobsen A, Ploen J, Vuong T, et al. Dose-effect relationship in chemoradiotherapy for locally advanced rectal cancer: a randomized trial comparing two radiation doses[J]. Int J Radiat Oncol Biol Phys, 2012, 84(4): 949-954.
|
[16] |
Hall M, Schultheiss T, Smith D, et al. Effect of increasing radiation dose on pathologic complete response in rectal cancer patients treated with neoadjuvant chemoradiation therapy[J]. Acta oncologica (Stockholm, Sweden), 2016, 55(12): 1392-1399.
|
[17] |
Das I, McGee K, Tyagi N, et al. Role and future of MRI in radiation oncology[J]. Br J Radiol, 2019, 92(1094): 20180505.
|
[18] |
Roberts D, Sandin C, Vesanen P, et al. Machine QA for the elekta unity system: a report from the elekta mr-linac consortium[J]. Med Phys, 2021, 48(5): e67-e85.
|
[19] |
Cusumano D, Boldrini L, Dhont J, et al. Artificial intelligence in magnetic resonance guided radiotherapy: medical and physical considerations on state of art and future perspectives[J]. Phys Med, 2021, 85: 175-191.
|
[20] |
Scott J, Berglund A, Schell M, et al. A genome-based model for adjusting radiotherapy dose (GARD): a retrospective, cohort-based study[J]. Lancet Oncol, 2017, 18(2): 202-211.
|
[21] |
Torres-Roca J, Eschrich S, Zhao H, et al. Prediction of radiation sensitivity using a gene expression classifier[J]. Cancer Res, 2005, 65(16): 7169-7176.
|
[22] |
Thorwarth D, Ege M, Nachbar M, et al. Quantitative magnetic resonance imaging on hybrid magnetic resonance linear accelerators: Perspective on technical and clinical validation[J]. Phys Imaging Radiat Oncol, 2020, 16: 69-73.
|
[23] |
Shaverdian N, Yang Y, Hu P, et al. Feasibility evaluation of diffusion-weighted imaging using an integrated MRI-radiotherapy system for response assessment to neoadjuvant therapy in rectal cancer[J]. Br J Radiol, 2017, 90(1071): 20160739.
|
[24] |
Boldrini L, Cusumano D, Chiloiro G, et al. Delta radiomics for rectal cancer response prediction with hybrid 0.35 T magnetic resonance-guided radiotherapy (MRgRT): a hypothesis-generating study for an innovative personalized medicine approach[J]. Radiol Med, 2019, 124(2): 145-153.
|