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Automated registration, segmentation, and measurement of metastatic melanoma tumors in serial ct scans

机译：串行CT扫描中的自动注册，分段和测量转移性黑素瘤肿瘤

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摘要

Objectives: Our goal was to evaluate a new software capability that integrates registration, segmentation and tumor measurement across serial exams within a picture archiving communication system (PACS) to expedite tumor measurement. Materials and Methods: Patients treated under institutional review board-approved protocols for metastatic melanoma were retrospectively reviewed. Of the 19 included patients, five were male, the median age was 43.2, and all received treatment using an adoptive cell therapy. Seventy-one lung, liver, and subcutaneous tumors were manually measured using RECIST (Response Evaluation Criteria In Solid Tumors) criteria before therapy (baseline computed tomography [CT]) and within 3 months after therapy (follow-up CT). We performed semiautomated registration, segmentation, and RECIST measurements at both time points within PACS (Carestream Health, Rochester, NY). We compared manual and software-generated RECIST measurements using Bland-Altman plots. Results: The median manually measured RECIST diameter for all baseline tumors was 2.1 (1.0-6.2) cm. The refined registration function identified 70/71 (98.6%) tumors on the follow-up CT. On the baseline CT, all 21 liver, 27/32 (84%) lung, and 10/18 (55%) subcutaneous tumors completed segmentation. On the follow-up CT, 19/21 (90%) liver, 21/27 (78%) lung, and 8/10 (80%) subcutaneous tumors completed segmentation. The Bland-Altman plot demonstrated a 95% confidence interval of ??0.7 cm when comparing the software-generated and manual RECIST measurements. Conclusions: The PACS software performed semiautomated baseline tumor measurements and fully automated follow-up tumor measurements in a majority of lung, liver, and subcutaneous tumors. In our patients, semiautomated metastatic tumor measurement did not obviate the need for physician oversight due to disease and treatment-related factors. ? 2013.
机译：目的：我们的目标是评估新的软件能力，这些功能在图像归档通信系统（PACS）内的串行考试中集成了注册，分段和肿瘤测量，以加快肿瘤测量。材料与方法：根据制度审查委员会治疗的患者批准的转移黑素瘤协议进行了回顾综述。在19名患者中，五名是男性，中位年龄为43.2，所有接受治疗使用养殖细胞疗法。在治疗前使用Recist（响应评估标准）标准（基线计算断层扫描[CT]）和治疗后3个月内，手动测量七十一肺，肝脏和皮下肿瘤。我们在PACS（Carestream Health，Rochester，NY）中的时间点进行半归类登记，分割和再现测量。我们使用Bland-Altman Plots比较了手动和软件生成的再次测量。结果：所有基线肿瘤的手动测量再现直径为2.1（1.0-6.2）厘米。通过后续CT鉴定成熟的注册功能确定了70/71（98.6％）肿瘤。在基线CT，所有21例肝，27/32（84％）肺，10/18（55％）皮下肿瘤完成分割。在随访CT，19/21（90％）肝脏，21/27（78％）肺和8/10（80％）皮下肿瘤完成分割。当比较软件生成和手动再现测量时，Bland-Altman Plot显示了0.7厘米的95％置信区间。结论：PACS软件在大多数肺癌，肝脏和皮下肿瘤中进行了半归类基线肿瘤测量和全自动随访肿瘤测量。在我们的患者中，半归类转移性肿瘤测量并没有避免由于疾病和治疗相关因素导致的医生监督。还2013年。

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  • 来源
    《Academic radiology》 |2013年第5期|共10页
  • 作者

    FolioL.R.; ChoiM.M.; SolomonJ.M.; SchaubN.P.;

  • 作者单位

    Radiology and Imaging Sciences National Institutes of Health 10 Center Drive Building 10;

    Thomas Jefferson High School for Science and Technology Alexandria VA United States;

    Radiology and Imaging Sciences National Institutes of Health 10 Center Drive Building 10;

    Surgery Branch National Cancer Institute National Institutes of Health Bethesda MD United;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 放射医学;
  • 关键词

    Measurement; Quantitative CT; RECIST; Registration; Segmentation;

    机译：测量;定量CT;再循环;注册;分段;

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