{"title":"Technical limitation of semi-automated volumetric analysis using CT in patients with Malignant Pleural Mesothelioma","authors":"A. Kidd, S. Tsim, K. Blyth","doi":"10.1183/13993003.congress-2019.pa3100","DOIUrl":null,"url":null,"abstract":"Introduction: Volumetric tumour measurement of malignant pleural mesothelioma (MPM) using contrast-enhanced CT could be used to assess MPM tumour stage as an alternative to RECIST response reporting. Aims and Objectives: We attempted to deploy a recently reported semi-automated method of volumetric MPM tumour assessment developed using Magnetic Resonance Imaging (MRI) (Armato S, Lung Cancer In press) on CT images acquired in the same patients. The MRI method requires tumour regions to be grown from seed points placed within a pre-defined volume of parietal pleural tumour, based on differential tumour enhancement after contrast. Methods: 23 patients with MPM were studied. 15 regions of interest (ROI) were placed on visible areas of pleural tumour. Similar ROIs were placed on intercostal muscle, pleural fluid, diaphragm and liver and Hounsfield Units (HU) generated for all ROIs. Pleural volume contours were then drawn every 8–10 axial CT slices and propagated throughout the volume (Myrian, Intrasense, France). Tumour regions were then grown within these volumes based on the measured range HU of pleural tumour. Results: The median (range) HU of pleural tumour, intercostal muscle and diaphragm overlapped: 49 (15–127), 21 (4–55) and 38 (7–65), respectively. Inter-slice interpolation artefacts were common and tumour region growing often resulted in ‘bleeding’ of the tumour regions into adjacent normal structures. Conclusions: It was not possible to accurately deploy a semi-automated volumetric analysis method for MPM developed using MRI on contrast-enhanced CT images. Reduced definition between tumour and adjacent structures was a major contributor, manifested as overlapping HU values.","PeriodicalId":20113,"journal":{"name":"Pleural and Mediastinal Malignancies","volume":"3 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pleural and Mediastinal Malignancies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1183/13993003.congress-2019.pa3100","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Introduction: Volumetric tumour measurement of malignant pleural mesothelioma (MPM) using contrast-enhanced CT could be used to assess MPM tumour stage as an alternative to RECIST response reporting. Aims and Objectives: We attempted to deploy a recently reported semi-automated method of volumetric MPM tumour assessment developed using Magnetic Resonance Imaging (MRI) (Armato S, Lung Cancer In press) on CT images acquired in the same patients. The MRI method requires tumour regions to be grown from seed points placed within a pre-defined volume of parietal pleural tumour, based on differential tumour enhancement after contrast. Methods: 23 patients with MPM were studied. 15 regions of interest (ROI) were placed on visible areas of pleural tumour. Similar ROIs were placed on intercostal muscle, pleural fluid, diaphragm and liver and Hounsfield Units (HU) generated for all ROIs. Pleural volume contours were then drawn every 8–10 axial CT slices and propagated throughout the volume (Myrian, Intrasense, France). Tumour regions were then grown within these volumes based on the measured range HU of pleural tumour. Results: The median (range) HU of pleural tumour, intercostal muscle and diaphragm overlapped: 49 (15–127), 21 (4–55) and 38 (7–65), respectively. Inter-slice interpolation artefacts were common and tumour region growing often resulted in ‘bleeding’ of the tumour regions into adjacent normal structures. Conclusions: It was not possible to accurately deploy a semi-automated volumetric analysis method for MPM developed using MRI on contrast-enhanced CT images. Reduced definition between tumour and adjacent structures was a major contributor, manifested as overlapping HU values.
简介:使用增强CT对恶性胸膜间皮瘤(MPM)进行体积测量,可用于评估MPM肿瘤分期,作为RECIST反应报告的替代方案。目的和目的:我们试图采用最近报道的半自动化方法,利用磁共振成像(MRI)对同一患者的CT图像进行体积MPM肿瘤评估(Armato S, Lung Cancer In press)。MRI方法要求肿瘤区域从预先确定的胸膜壁肿瘤体积内的种子点生长,基于对比后肿瘤的鉴别增强。方法:对23例MPM患者进行分析。在胸膜肿瘤可见区域放置15个感兴趣区域(ROI)。在肋间肌、胸膜液、横膈膜和肝脏上放置类似的roi,并为所有roi生成Hounsfield单位(HU)。然后每隔8-10个轴向CT切片绘制胸膜容积轮廓,并在整个容积中传播(Myrian, Intrasense, France)。然后根据胸膜肿瘤的测量范围HU在这些体积内生长肿瘤区域。结果:胸膜肿瘤、肋间肌、横膈膜的HU中值(范围)重叠:49(15-127)、21(4-55)、38(7-65)。切片间插值伪影很常见,肿瘤区域的生长经常导致肿瘤区域“出血”到邻近的正常结构中。结论:利用MRI增强CT图像对MPM进行半自动化体积分析是不可能准确部署的。肿瘤和邻近结构之间的定义减少是主要原因,表现为重叠的HU值。