首页> 美国卫生研究院文献>Journal of Digital Imaging >Resources Required for Semi-Automatic Volumetric Measurements in Metastatic Chordoma: Is Potentially Improved Tumor Burden Assessment Worth the Time Burden?
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Resources Required for Semi-Automatic Volumetric Measurements in Metastatic Chordoma: Is Potentially Improved Tumor Burden Assessment Worth the Time Burden?

机译:转移性脊索瘤半自动体积测量所需的资源:潜在改善的肿瘤负担评估值得吗?

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摘要

The Response Evaluation Criteria in Solid Tumors (RECIST) is the current standard for assessing therapy response in patients with malignant solid tumors; however, volumetric assessments are thought to be more representative of actual tumor size and hence superior in predicting patient outcomes. We segmented all primary and metastatic lesions in 21 chordoma patients for comparison to RECIST. Primary tumors were segmented on MR and validated by a neuroradiologist. Metastatic lesions were segmented on CT and validated by a general radiologist. We estimated times for a research assistant to segment all primary and metastatic chordoma lesions using semi-automated volumetric segmentation tools available within our PACS (v12.0, Carestream, Rochester, NY), as well as time required for radiologists to validate the segmentations. We also report success rates of semi-automatic segmentation in metastatic lesions on CT and time required to export data. Furthermore, we discuss the feasibility of volumetric segmentation workflow in research and clinical settings. The research assistant spent approximately 65 h segmenting 435 lesions in 21 patients. This resulted in 1349 total segmentations (average 2.89 min per lesion) and over 13,000 data points. Combined time for the neuroradiologist and general radiologist to validate segmentations was 45.7 min per patient. Exportation time for all patients totaled only 6 h, providing time-saving opportunities for data managers and oncologists. Perhaps cost-neutral resource reallocation can help acquire volumes paralleling our example workflow. Our results will provide researchers with benchmark resources required for volumetric assessments within PACS and help prepare institutions for future volumetric assessment criteria.
机译:实体瘤反应评估标准(RECIST)是目前评估恶性实体瘤患者治疗反应的标准。然而,体积评估被认为更能代表实际的肿瘤大小,因此在预测患者预后方面具有优势。我们将21例脊索瘤患者的所有原发性和转移性病变进行了细分,以与RECIST进行比较。在MR上对原发肿瘤进行了分割,并由神经放射科医生进行了验证。在CT上对转移灶进行了分割,并由一名放射科医生进行了验证。我们估计了研究助理使用PACS(v12.0,Carestream,Rochester,NY)中可用的半自动体积分割工具分割所有原发性和转移性脊索瘤病变的时间,以及放射科医生验证分割所需的时间。我们还报告了转移灶上CT半自动分割的成功率和导出数据所需的时间。此外,我们讨论了体积分割工作流程在研究和临床环境中的可行性。研究助理花费了大约65小时的时间对21位患者的435个病变进行了分割。这导致了总共1349个分割(每个病变平均2.89分钟)和超过13,000个数据点。神经放射科医生和一般放射科医生确认分割的总时间为每位患者45.7分钟。所有患者的导出时间总计仅为6小时,从而为数据管理员和肿瘤科医生提供了节省时间的机会。也许成本中立的资源重新分配可以帮助获取与我们的示例工作流程平行的数量。我们的结果将为研究人员提供PACS内进行体积评估所需的基准资源,并帮助机构为将来的体积评估标准做准备。

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