谷歌浏览器插件
订阅小程序
在清言上使用

Evolution of the subsolid pulmonary nodule: a retrospective study in patients with different neoplastic diseases in a nonscreening clinical context

La radiologia medica(2013)

引用 7|浏览19
暂无评分
摘要
Purpose The aims of this study were to evaluate the high-resolution computed tomography (HRCT) features of subsolid pulmonary nodules (SSN) detected in cancer patients to differentiate between benign and malignant lesions, to assess their evolution during the follow-up, and to determine which neoplastic diseases are most frequently associated with the growth in size and/or density of SSN. Materials and methods Ninety-seven patients with a total of 146 subsolid nodules [140 pure ground-glass opacities (pGGOs) and six mixed ground-glass opacities (mGGOs)] were retrospectively recruited. Two chest radiologists independently reviewed the HRCT features of the nodules (location, shape, size, density) and the patients’ clinical characteristics (sex, age, smoking and cancer history). Mean duration of follow-up was more than 2 years. Results During follow-up, 58% of SSN remained stable, 10% disappeared. An increase in size and/or density was seen in 32% of SSN, and in particular in partly solid (mGGOs), large (≥10 mm) and irregular nodules. The majority of small-size (<5 mm) rounded SSN remained stable. SSN growth was more frequent in patients with advanced age and a history of smoking, and occurred even after a long period of stability (39% of pGGOs “changed” over 3 years). The neoplastic diseases most frequently associated with SSN growth were cancers of lung (34%), breast (15%), colon (15%) and bladder (10%). Conclusions The observation of a sample of cancer patients has shown that SSN may frequently grow in size and/or density in these patients, especially if associated po with cancers of lung, breast, colon and bladder. As the majority of SSN showed a very slow development time, a follow-up period longer than 3 years is warranted even in cancer patients.
更多
查看译文
关键词
Subsolid pulmonary nodule,Nodular groundglass opacity,HRCT,Follow-up,Cancer patient
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要