Results 71 to 80 of about 692,625 (171)
Immunotherapies and Targeted Therapies in the Treatment of Metastatic Colorectal Cancer
Colorectal cancer (CRC) is the third leading cause of cancer deaths, and while mortality has largely improved in the developed world, five-year survival for metastatic disease remains dismally low at only 15%.
Prashanth Rawla+3 more
doaj +1 more source
Introduction: Despite recent evidence on the surgical outcomes of robotic-assisted surgery (RAS), other patient centre outcomes, including quality of life (QOL), are lacking.
Ang Li+6 more
doaj +1 more source
Colorectal carcinoma in adolescents implications regarding etiology [PDF]
Charles B. Pratt+6 more
openalex +1 more source
Background All‐cause mortality has been suggested as an end‐point in cancer screening trials in order to avoid biases in attributing the cause of death.
Eveline A. M. Heijnsdijk+7 more
doaj +1 more source
The contribution of serum enzymes and carcinoembryonic antigen to the early diagnosis of metastatic colorectal cancer [PDF]
E.H. Cooper+4 more
openalex +1 more source
A Colorectal Unit with an Enhanced Recovery After Surgery (ERAS) Programme Improves Surgical Outcomes in a Major Metropolitan Hospital [PDF]
Objectives: We aimed to assess the surgical outcomes associated with the introduction of a dedicated colorectal service and newlyimplemented enhanced recovery after surgery (ERAS) programme at Logan Hospital.Methods: A prospective database was created to
Michelle Cooper+4 more
doaj
Comparative educational approaches to screening for colorectal cancer. [PDF]
Thomas W Elwood+2 more
openalex +1 more source
Iatrogenic ureteral injury during laparoscopic versus open colectomy
Background and aim The rate of iatrogenic ureteral injury varies greatly depending on surgical approach and experience of the surgical team. This study compares laparoscopic and open colectomy regarding incidence of ureteral injury.
Ayman M. Abdulmohaymen
doaj +1 more source
Computer-Aided Colorectal Tumor Classification in NBI Endoscopy Using CNN Features [PDF]
In this paper we report results for recognizing colorectal NBI endoscopic images by using features extracted from convolutional neural network (CNN). In this comparative study, we extract features from different layers from different CNN models, and then train linear SVM classifiers.
arxiv
A phase II study of triazinate (NSC 139105) in advanced colorectal carcinoma [PDF]
Robert H. McCreary+7 more
openalex +1 more source