轉(zhuǎn)移病灶CT檢查PACS半自動病變管理分析
發(fā)布時間:2018-06-05 07:21
本文選題:影像歸檔和通信系統(tǒng) + 計算機體層攝影術(shù); 參考:《中華腫瘤防治雜志》2017年17期
【摘要】:目的采用影像歸檔和通信系統(tǒng)(picture archiving and communication systems,PACS)中的半自動病變管理應(yīng)用,對癌癥患者的CT檢查轉(zhuǎn)移灶進行分析,評價其成功率、一致性和有效性。方法兩名研究者分別對患有轉(zhuǎn)移癌的58例患者進行CT檢查的隨訪,共97個目標轉(zhuǎn)移灶(包括19個肺轉(zhuǎn)移灶、6個肝轉(zhuǎn)移灶和72個淋巴結(jié)轉(zhuǎn)移灶)。測量每個轉(zhuǎn)移灶的長軸或淋巴結(jié)的短軸,并用手動和病變管理應(yīng)用2種方法分別給出實體瘤療效評價標準(RECIST1.1)。檢查回顧、RECIST計算和數(shù)據(jù)輸入的時間分別進行記錄。使用測量時間中位數(shù)來評價時間的差別,Bland-Altman分析法來評價這2種方法上研究者間的一致性。結(jié)果使用病變管理應(yīng)用,肺和肝臟的病灶都可被半自動的進行分割。比較病變管理應(yīng)用和手動2種方法發(fā)現(xiàn),病變管理應(yīng)用節(jié)省時間百分比,隨訪掃描研究者1為47%,研究者2為30%;初次掃描研究者1為29%,研究者2為15%。測量的差異性顯示,使用病變管理應(yīng)用平均差異百分比僅為7.6%,而手動測量為28.2%。結(jié)論使用病變管理應(yīng)用方法相比手動的測量方法,肺和肝臟的病灶都能被成功半自動分割,兩名研究者的結(jié)果一致性更高,評價腫瘤的大小更快。
[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.
【作者單位】: 山東大學附屬省立醫(yī)院遠程醫(yī)學中心;山東大學附屬省立醫(yī)院統(tǒng)計與病案管理科;山東省腫瘤醫(yī)院公共衛(wèi)生科;
【分類號】:R730.44
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本文編號:1981142
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