嗜铬细胞瘤和副神经节瘤临床行为预测的血管模式分析数据集

资源简介

嗜铬细胞瘤和副神经节瘤临床行为预测的血管模式分析数据集

【数据集背景】

本数据集源站标题为《Vascular Pattern Analysis for the Prediction of Clinical Behaviour in Pheochromocytomas and Paragangliomas》。配套论文《Vascular Pattern Analysis for the Prediction of Clinical Behaviour in Pheochromocytomas and Paragangliomas》发表于 PLOS ONE（2015），DOI：10.1371/journal.pone.0121361。源站首次发布：2015-03-20。

【数据内容】

源站原始描述：Pheochromocytomas (PCCs) are neuroendocrine tumors arising from chromaffin cells of the adrenal medulla. Related tumors that arise from the paraganglia outside the adrenal medulla are called paragangliomas (PGLs). PCC/PGLs are usually benign, but approximately 17% of these tumors are malignant, as defined by the development of metastases. Currently, there are no generally accepted markers for identifying a primary PCC or PGL as malignant. In 2002, Favier et al. described the use of vascular arch…

【数据结构与技术规格】

文件数 5 个，合计 35.98 MB。S1_Fig.tif：image/tiff，4.94 MB。数据集 DOI：10.1371/journal.pone.0121361。

【主题与分类】

源站学科分类：Biological Sciences。主题标签：CD 34 immunolabeled、malignancy、Vascular Pattern Analysis、pcc、tumor、pattern analysis、pgl。

【适用方向】

源站学科分类标注为 Biological Sciences。

【获取与许可】

源站页面：https://plos.figshare.com/articles/dataset/_Vascular_Pattern_Analysis_for_the_Prediction_of_Clinical_Behaviour_in_Pheochromocytomas_and_Paragangliomas_/1346449

使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。

规范引用：Oudijk, Lindsey; van Nederveen, Francien; Badoual, Cécile; Tissier, Frédérique; S. Tischler, Arthur; Smid, Marcel; et al. (2016). Vascular Pattern Analysis for the Prediction of Clinical Behaviour in Pheochromocytomas and Paragangliomas. PLOS ONE. Dataset

【使用注意】

· 源站最后修改于 2023-06-01，引用时请注意版本时效。