Загрузка...
CT features and quantitative analysis of subsolid nodule lung adenocarcinoma for pathological classification prediction
BACKGROUND: The value of the CT features and quantitative analysis of lung subsolid nodules (SSNs) in the prediction of the pathological grading of lung adenocarcinoma is discussed. METHODS: Clinical data and CT images of 207 cases (216 lesions) with CT manifestations of an SSNs lung adenocarcinoma...
Сохранить в:
| Опубликовано в: : | BMC Cancer |
|---|---|
| Главные авторы: | , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BioMed Central
2020
|
| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6986053/ https://ncbi.nlm.nih.gov/pubmed/31992239 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12885-020-6556-6 |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|