[1] |
欧阳伟炜,卢冰,唐劲天.肿瘤放射治疗研究进展[J].科技导报, 2014, 32(26):47-51.
|
[2] |
Guo B, Li J, Wang W, et al. Dosimetric impact of tumor bed delineation variability based on 4DCT scan for external-beam partial breast irradiation[J]. Int J Clin Exp Med, 2015, 8(11):21579-21585.
|
[3] |
Chauhan D, Rawat S, Sharma M.K, et al. Improving the accuracy of target volume delineation by combined use of computed tomography, magnetic resonance imaging and positron emission tomography in head and neck carcinomas[J]. J Cancer Res Ther, 2015, 11(4):746-751.
|
[4] |
Awan M.J, Siddiqui F, Schwartz D, et al. Application of positron emission tomography/computed tomography in radiation treatment planning for head and neck cancers[J]. World J Radiol, 2015, 7(11):382-393.
|
[5] |
Nguyen V.N, Ellerbusch D.C, Cetnar A.J, et al. Implementation of an in-house visual feedback system for motion management during radiation therapy[J]. J Appl Clin Med Phys, 2016, 17(1):5817.
|
[6] |
Wang X, Yu M, Wang J, et al. An assessment of interfractional bladder, rectum and vagina motion in postoperative cervical cancer based on daily cone-beam computed tomography[J]. Mol Clin Oncol, 2016, 4(2):271-277.
|
[7] |
Huijskens SC, van Dijk IW, de Jong R, et al. Quantification of renal and diaphragmatic interfractional motion in pediatric image-guided radiation therapy: A multicenter study[J]. Radiother Oncol, 2015, 117(3):425-431.
|
[8] |
Eom K.Y, Chie E.K, Kim K, et al. Pilot study on interfractional and intrafractional movements using surface infrared markers and EPID for patients with rectal cancer treated in the prone position[J]. Br J Radiol, 2015, 88(1052):20150144.
|
[9] |
Wang J.Z, Li J.B, Wang W, et al. Changes in tumour volume and motion during radiotherapy for thoracic oesophageal cancer[J]. Radiother Oncol, 2015, 114(2):201-205.
|
[10] |
Jin H, Keeling V.P, Ali I, et al. Dosimetric effects of positioning shifts using 6D-frameless stereotactic Brainlab system in hypofractionated intracranial radiotherapy[J]. J Appl Clin Med Phys, 2016, 17(1):5682.
|
[11] |
Yang Y, Cao M, Kaprealian T, et al. Accuracy of UTE-MRI-based patient setup for brain cancer radiation therapy[J]. Med Phys, 2016, 43(1):262.
|
[12] |
Zhang M, Zhang Q, Gan H, et al. Setup uncertainties in linear accelerator based stereotactic radiosurgery and a derivation of the corresponding setup margin for treatment planning[J]. Phys Med, 2016, 32(2):379-385.
|
[13] |
Sumida I, Yamaguchi H, Das IJ, et al. Intensity-modulated radiation therapy dose verification using fluence and portal imaging device[J]. J Appl Clin Med Phys, 2016, 17(1):5899.
|
[14] |
McCowan, P.M, McCurdy B.M..Frame average optimization of cine-mode EPID images used for routine clinical in vivo patient dose verification of VMAT deliveries[J]. Med Phys, 2016, 43(1):254.
|
[15] |
Lee Y.K, Kim A.T, Zhao P, et al. Practical dose delivery verification of craniospinal IMRT[J]. J Appl Clin Med Phys, 2015, 16(6):5481.
|
[16] |
Zhu L, Zhu L, Shi H, et al. Evaluating early response of cervical cancer under concurrent chemo-radiotherapy by intravoxel incoherent motion MR imaging[J]. BMC Cancer, 2015, 16(1):79.
|
[17] |
Mabuchi S, Sasano T, Kuroda H, et al. Real-time tissue sonoelastography for early response monitoring in cervical cancer patients treated with definitive chemoradiotherapy: preliminary results[J]. J Med Ultrason (2001), 2015, 42(3):379-385.
|
[18] |
Yang C, Lee D.H, Mangraviti A, et al. Quantitative correlational study of microbubble-enhanced ultrasound imaging and magnetic resonance imaging of glioma and early response to radiotherapy in a rat model[J]. Med Phys, 2015, 42(8):4762-4772.
|
[19] |
Würschmidt F, Petersen C, Wahl A, et al. [18F] fluoroethylcholine-PET/CT imaging for radiation treatment planning of recurrent and primary prostate cancer with dose escalation to PET/CT-positive lymph nodes[J]. Radiat Oncol, 2011, 6:44.
|
[20] |
Stewart, R.D, Li X.A..BGRT: biologically guided radiation therapy-the future is fast approaching[J]! Med Phys, 2007, 34(10):3739-3751.
|
[21] |
Bentzen, S.M. Radiation therapy: intensity modulated, image guided, biologically optimized and evidence based[J]. Radiother Oncol, 2005, 77(3):227-230.
|
[22] |
Ye J.C, Qureshi M.M, Clancy P, et al. Daily patient setup error in prostate image guided radiation therapy with fiducial-based kilovoltage onboard imaging and conebeam computed tomography[J]. Quant Imaging Med Surg, 2015, 5(5):665-672.
|
[23] |
张希梅,李明辉,曹建忠,等.鼻咽癌调强放疗中靶区剂量变化规律研究[J]. 中华放射肿瘤学杂志, 2010, 19(3):197-200.
|
[24] |
Stanley, D.N, Papanikolaou N., GutierrezA.N., Development of image quality assurance measures of the ExacTrac localization system using commercially available image evaluation software and hardware for image-guided radiotherapy[J]. J Appl Clin Med Phys, 2014, 15(6):4877.
|
[25] |
Rozario T, Bereg S, Yan Y, et al. An accurate algorithm to match imperfectly matched images for lung tumor detection without markers[J]. J Appl Clin Med Phys, 2015, 16(3):5200.
|
[26] |
Franz A.M, Schmitt D, Seitel A, et al. Standardized accuracy assessment of the calypso wireless transponder tracking system[J]. Phys Med Biol, 2014, 59(22):6797-6810.
|
[27] |
Freislederer P, Reiner M, Hoischen W, et al. Characteristics of gated treatment using an optical surface imaging and gating system on an Elekta linac[J]. Radiat Oncol, 2015, 10:68.
|
[28] |
Mutic, S, J.F. Dempsey.The ViewRay system: magnetic resonance-guided and controlled radiotherapy[J]. Semin Radiat Oncol, 2014, 24(3):196-199.
|
[29] |
Lagendijk J.J, Raaymakers B.W, Raaijmakers A.J, et al. MRI/linac integration. Radiother Oncol, 2008, 86(1):25-29.
|
[30] |
Royer P, Marchesi V, Rousseau V, et al. Evaluation of transit in vivo dosimetry using portal imaging and comparison with measurements using diodes[J]. Cancer Radiother, 2014, 18(3):183-190.
|
[31] |
Narayanasamy G, Zalman T, Ha C.S, et al. Evaluation of Dosimetry Check software for IMRT patient-specific quality assurance[J]. J Appl Clin Med Phys, 2015,16(3):5427.
|
[32] |
Lordick, F. The role of PET in predicting response to chemotherapy in oesophago-gastric cancer[J]. Acta Gastroenterol Belg, 2011, 74(4):530-535.
|
[33] |
Gillies, R.J, Kinahan P.E., Hricak H.. Radiomics: Images Are More than Pictures, They Are Data[J]. Radiology, 2016, 278(2):563-577.
|
[34] |
Coroller T.P, Grossmann P, Hou Y, et al. CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma[J]. Radiother Oncol, 2015,114(3):345-350.
|
[35] |
Mattonen S.A, Palma D.A, Johnson C, et al. Detection of Local Cancer Recurrence After Stereotactic Ablative Radiation Therapy for Lung Cancer: Physician Performance Versus Radiomic Assessment[J]. Int J Radiat Oncol Biol Phys, 2016, 94(5):1121-1128.
|
[36] |
Yang C, Dalah E, Tai A, et al. CT Number Changes as a Supplemental Prognostic Surrogate for Assessing Radiation Treatment Response of Lung Tumor[C]. ASTRO, 2015.
|
[37] |
Cui Y, Song J, Pollom E, et al. Radiomic Analysis of FDG-PET Identifies Novel Prognostic Imaging Biomarkers in Locally Advanced Pancreatic Cancer Patients Treated with SBRT[C]. ASTRO, 2015.
|
[38] |
YeungT.P.C., RodriguesG., LagerwaardF., et al. Prediction of Stereotactic Radiosurgery Brain Metastasis Lesion Control Using Radiomic Features[C]. ASTRO, 2015.
|
[39] |
Mattonen S.A, Tetar S, Palma D.A, et al. Imaging texture analysis for automated prediction of lung cancer recurrence after stereotactic radiotherapy[J]. Med Imaging, 2015, 2(4):041010.
|