A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities

Name: A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities
Creator: www.cancerimagingarchive.net
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This collection contains FDG-PET/CT and anatomical MR (T1-weighted, T2-weighted with fat-suppression) imaging data from 51 patients with histologically proven soft-tissue sarcomas (STSs) of the extremities. All patients had pre-treatment FDG-PET/CT and MRI scans between November 2004 and November 2011. (Note: date in the TCIA images have been changed in the interest of de-identification; the same change was applied across all images, preserving the time intervals between serial scans). During the follow-up period, 19 patients developed lung metastases. Imaging data and lung metastases development status were used in the following study: Vallières, M. et al. (2015). A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities. Physics in Medicine and Biology, 60(14), 5471-5496. <a href="http://iopscience.iop.org/0031-9155/60/14/5471">doi:10.1088/0031-9155/60/14/5471</a>. Imaging data, tumor contours (RTstruct DICOM objects), clinical data and source code is available for this study. See the DOI below for more details and links to access the whole dataset. Please <a href="http://www.cancerimagingarchive.net/support/">contact the TCIA Helpdesk</a> for any scientific or other inquiries about this dataset.

本数据集收录了来自51名经组织学证实为四肢软组织肉瘤（STSs）患者的FDG-PET/CT和解剖学MR（T1加权、脂肪抑制T2加权）成像数据。所有患者在2004年11月至2011年11月期间接受了治疗前FDG-PET/CT和MRI扫描。（注：出于去标识化的考虑，TCIA图像中的日期已更改；相同的更改应用于所有图像，以保留连续扫描之间的时间间隔）。在随访期间，19名患者出现了肺转移。以下研究使用了成像数据和肺转移发生情况： Vallières, M. 等人（2015）。基于联合FDG-PET和MRI纹理特征构建的放射组学模型，用于预测四肢软组织肉瘤的肺转移。《物理学与医学生物学》，60（14），5471-5496. 更多细节和访问整个数据集的链接可通过以下DOI获取：http://iopscience.iop.org/0031-9155/60/14/5471 本研究的成像数据、肿瘤轮廓（RTstruct DICOM对象）、临床数据和源代码均可获得。有关本数据集的更多信息和访问链接，请访问以下DOI：http://iopscience.iop.org/0031-9155/60/14/5471。如需关于本数据集的任何科学或其他咨询，请联系TCIA帮助台。 See the DOI below for more details and links to access the whole dataset. Please <a href="http://www.cancerimagingarchive.net/support/">contact the TCIA Helpdesk</a> for any scientific or other inquiries about this dataset.

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