Predicting postoperative peritoneal metastasis in gastric cancer with serosal invasion using a collagen nomogram
Gastric cancer can metastasise to the peritoneal cavity; predicting in which patients this will occur is important for clinical management of the disease. Here, the authors use multi-photon imaging to derive a collagen signature of the primary cancer that allows the prediction of metastasis.
Guardado en:
Autores principales: | Dexin Chen, Zhangyuanzhu Liu, Wenju Liu, Meiting Fu, Wei Jiang, Shuoyu Xu, Guangxing Wang, Feng Chen, Jianping Lu, Hao Chen, Xiaoyu Dong, Guoxin Li, Gang Chen, Shuangmu Zhuo, Jun Yan |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/2188eb391a434aff88ebadc349020bb2 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Development and validation of a nomogram to predict postoperative pulmonary complications following thoracoscopic surgery
por: Bin Wang, et al.
Publicado: (2021) -
Nomogram model to predict postoperative infection after mandibular osteoradionecrosis surgery
por: Zhonglong Liu, et al.
Publicado: (2017) -
A nomogram to predict risk of lymph node metastasis in early gastric cancer
por: Miaoquan Zhang, et al.
Publicado: (2021) -
Nomogram and a predictive model for postoperative hemorrhage in preoperative patients of laparoscopic pancreaticoduodectomy
por: Dongrui Li, et al.
Publicado: (2021) -
Conversion Surgery for Patients with Advanced Gastric Cancer with Peritoneal Carcinomatosis
por: Ting-Ying Lee, et al.
Publicado: (2021)