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鼻咽癌靶区的自动勾画评价 被引量:13

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摘要 目的测试自动靶区勾画软件在鼻咽癌靶区勾画中的效率和准确性。方法首先,创建数据库,数据库中包括20例患者的原始数据,每个患者有13个已经勾画的感兴趣区。然后,用三种方法(手动勾画,自动勾画,修正勾画)来勾画的10个试验患者的靶区。最后,分别记录三种方式所需的时间,计算灵敏度(SE),特异性(SP)和一致性(DSC)。结果对于10个测试患者,手动勾画和修正自动轮廓所需时间分别为3839s和2554s。修正自动轮廓节省了36.05%的时间。修正勾画的SE和SP较高,分别为0.81和0.96。对于某些肿瘤的靶区,如CTV2和CTVnd,修正勾画耗时165.7s(34.61%)比手动勾画耗时213.6s(28.14%)减少。而对于其他肿瘤靶区:GTVnx,GTVnd和CTV1,节省时间不多。对于正常的器官,较大的结构(>27毫升),修正勾画具有较好的结果,DSC的>0.72,省时超过47%。对于较小的结构,修正勾画没有优势。结论在临床鼻咽癌靶区的勾画中,该自动勾画软件具有可接受的灵敏度(SE),特异性(SP)和一致性(DSC),并且可以提高勾画效率。在CTV2,CTVnd和较大的正常器官勾画中优势更加明显。
出处 《四川医学》 CAS 2015年第6期762-766,共5页 Sichuan Medical Journal
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  • 1Fei H, Chong Z, Shaomin H, et al. Long-term outcomes and prognos-tic factors of re-irradiation for locally recurrent nasopharyngeal carcino- ma using intensity-modulated radiotherapy [ J ]. Clinical Oncology, 2012,24(8) : 569-576.
  • 2Silke T, Corinna B. Intensity-modulated radiotherapy versus conven- tional and 3D conformal radiotherapy in patients with head and neck cancer: Is there a worthwhile quality of life gain? [ J]. Cancer Treat- ment Reviews ,2011,37: 511-519.
  • 3Richard S, Anrelie I, Vincent G, et al. A pre-chnical assessment of an atlas-based automatic segmentation tool for the head and neck[ J ]. Radiotherapy and Oncology, 2009,93: 474-478.
  • 4Amy VY, Angela W, Iddo W, et al. Atlas-based segmentation im- proves consistency and decreases time required for contouring postoper- ative endometrial cancer nodal volumes[ J]. Int. J Radiation oncolo- gy biol. Phys, 2011,79: 943-947.
  • 5Pejavar S. Computer-assisted, atlas-based segmentation for target vol- ume delineation in whole pelvic IMRT for prostate cancer [J]. Int J Radiat Oncol Biol Phys, 2008,72: S148.
  • 6Lin A, Kubicek G, Piper JW, et al. Atlas-based segmentation in prostate IMRT: Timesavings in the clinical workflow[ J]. Int J Radiat Oncol Biol Phys, 2008,72 : S328-S329.
  • 7John Manavis, Leonidas Sivridis, Michael I. Koukourakis. Nasopha- ryngeal carcinoma the impact of CT-scan and of MRI on staging, radio- therapy treatment planning, and outcome of the disease [ J ]. Journal of Clinical Imaging, 2005,9 : 128-133.
  • 8Aure LI, Fre DD, Francois B, et al. Evaluation of an atlas-based auto- matic segmentation software for the delineation of brain organs at risk in a radiation therapy clinical context[J]. Radiotherapy and Oncalo- gy,2008, 87: 93-99.
  • 9Olivier C, Vincent G, Gregoire M. Atlas-based delineation of lymph node levels in head and neck computed tomography images [J]. Ra- diotherapy and Oncology, 2008, 87 : 281-289.

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