转移病灶CT检查PACS半自动病变管理分析

发布时间：2018-06-05 07:21

  本文选题：影像归档和通信系统 + 计算机体层摄影术　； 参考：《中华肿瘤防治杂志》2017年17期

【摘要】：目的采用影像归档和通信系统(picture archiving and communication systems,PACS)中的半自动病变管理应用,对癌症患者的CT检查转移灶进行分析,评价其成功率、一致性和有效性。方法两名研究者分别对患有转移癌的58例患者进行CT检查的随访,共97个目标转移灶(包括19个肺转移灶、6个肝转移灶和72个淋巴结转移灶)。测量每个转移灶的长轴或淋巴结的短轴,并用手动和病变管理应用2种方法分别给出实体瘤疗效评价标准(RECIST1.1)。检查回顾、RECIST计算和数据输入的时间分别进行记录。使用测量时间中位数来评价时间的差别,Bland-Altman分析法来评价这2种方法上研究者间的一致性。结果使用病变管理应用,肺和肝脏的病灶都可被半自动的进行分割。比较病变管理应用和手动2种方法发现,病变管理应用节省时间百分比,随访扫描研究者1为47%,研究者2为30%;初次扫描研究者1为29%,研究者2为15%。测量的差异性显示,使用病变管理应用平均差异百分比仅为7.6%,而手动测量为28.2%。结论使用病变管理应用方法相比手动的测量方法,肺和肝脏的病灶都能被成功半自动分割,两名研究者的结果一致性更高,评价肿瘤的大小更快。
[Abstract]:Objective to evaluate the success rate, consistency and effectiveness of CT examination of metastatic foci in cancer patients by using semi-automatic disease management in image archiving and communication system picture archiving and communication systems. Methods two researchers followed up 58 patients with metastatic carcinoma by CT scanning. A total of 97 target metastatic foci (including 19 lung metastases, 6 liver metastases and 72 lymph node metastases) were examined. The long axis or the short axis of lymph nodes of each metastatic tumor were measured, and the criteria for evaluating the curative effect of solid tumor were given by manual and pathological management. Check the time of recIST calculation and data entry to record separately. Bland-Altman analysis was used to evaluate the consistency between the two methods. Results both lung and liver lesions can be segmented semi-automatically using lesion management. Comparing the two methods of disease management and manual operation, it was found that the percentage of time saved in the application of disease management was 47 for researcher 1 and 3030 for researcher 2, and 29 for researcher 1 and 15 for researcher 2 for the first scan. The difference in measurement showed that the average percentage of difference in the use of lesion management was only 7.6, while that in manual measurement was 28.2. Conclusion compared with manual measurement, the lesions of lung and liver can be divided successfully by semi-automatic segmentation. The results of the two researchers are more consistent and the tumor size can be evaluated more quickly.
【作者单位】： 山东大学附属省立医院远程医学中心;山东大学附属省立医院统计与病案管理科;山东省肿瘤医院公共卫生科;
【分类号】：R730.44
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本文编号：1981142