- 文章转自微信大众号：机器学习炼丹术
- 笔记：陈亦新
- 参考论文：Dual-time-point F-18 FDG PET/CT imaging for differentiating the lymph nodes between malignant lymphoma and benign lesions
introduction
Malignent Lymphoma （ML）恶性淋巴瘤是最常见的血液系统恶性肿瘤之一。
PET/CT offers advantages over converntional imaging techniques, because it can demonstrate abnormal netabolic activity and extension of malignant diseases.
PET相比传统的技术更有优势，由于它能够显示异常的代谢活动和恶性疾病的扩展
However, many inflammatory lesions such as pneumonia, sarcoidosis, rheumatoid arthritis, etc., also have elevated F-18 FDG uptake in PET, leading to false-positive results.
但是许多炎症病变，如肺炎、结节病、类风湿性关节炎等，在PET中的f-18 FDG的摄取也会升高，发生假阳性的成果。
本研讨的意图便是评价，dual-time-point F-18 FDG PET/CT scan在恶性淋巴瘤初期诊断中的有效性，并剖析早期50分钟扫描和100分钟推迟扫描的SUVmax的值。
Patient population
这个入组人群的描绘挺好的。我觉得能够学习一下：
F-18 FDG PET/CT scans
这个描绘机器和扫描的，也能够学习一下：
image analysis
这儿文章很老是2012年的，选用的分类方法也是four-score visual scale。
这儿值得一提的是SUV的计算方法写的很规范：
除了SUV，还用到了一个目标，RI-SUV, we tried to evaluate an usefulness of difference between early SUV max and delayed SUVmax in this study as a more simple index:
statistical analysis
A paired 2-tailed t test was used to compare differences bwtween ML and BLN in those indices.
关于计算的部分先留着坑，之后填。
