Neuroendocrine Rectal Tumors: Main Features and Management
The incidence of neuroendocrine tumors of the rectum has been increasing in the last decades, partly due to improved investigation. They are mostly well-differentiated small tumors with a rather good overall prognosis. In the last few years, some aspects
Ângela Rodrigues+2 more
doaj +1 more source
Machine-Learning-Enhanced Soft Robotic System Inspired by Rectal Functions for Investigating Fecal incontinence [PDF]
Fecal incontinence, arising from a myriad of pathogenic mechanisms, has attracted considerable global attention. Despite its significance, the replication of the defecatory system for studying fecal incontinence mechanisms remains limited largely due to social stigma and taboos. Inspired by the rectum's functionalities, we have developed a soft robotic
arxiv +1 more source
Magnifying chromoendoscopy is a reliable method in the selection of rectal neoplasms for local excision. [PDF]
Kimura CMS+11 more
europepmc +1 more source
Ablação de tumor de canal anal tratado com laser de diodo: seguimento após 17 meses
The Nd:YAG laser is used as the palliative treatment of obstructive and/or hemorrhagic intestinal lesions with an effective but temporary symptomatic relief, with symptoms and signs recurrence after six to eight weeks. This report describes the treatment
Hélio Plapler
doaj +1 more source
Potentially paraneoplastic glomerulopathies in a Brazilian cohort: a retrospective analysis [PDF]
Introduction: Glomerular diseases can be associated with solid or hematopoietic malignancies. The prevalence of these associations varies according to the studied glomerular disease.
Marcella Soares Laferreira+1 more
doaj +1 more source
Outcomes and Learning Curve in Endoscopic Submucosal Dissection of Rectal Neoplasms with Severe Fibrosis: Experience of a Western Center. [PDF]
Félix C+4 more
europepmc +1 more source
Deep Convolutional Neural Networks for Imaging Data Based Survival Analysis of Rectal Cancer [PDF]
Recent radiomic studies have witnessed promising performance of deep learning techniques in learning radiomic features and fusing multimodal imaging data. Most existing deep learning based radiomic studies build predictive models in a setting of pattern classification, not appropriate for survival analysis studies where some data samples have ...
arxiv
Explainable machine learning for neoplasms diagnosis via electrocardiograms: an externally validated study [PDF]
Background: Neoplasms remains a leading cause of mortality worldwide, with timely diagnosis being crucial for improving patient outcomes. Current diagnostic methods are often invasive, costly, and inaccessible to many populations. Electrocardiogram (ECG) data, widely available and non-invasive, has the potential to serve as a tool for neoplasms ...
arxiv
Transanal Endoscopic Microsurgery for Rectal Neoplasms: Experience of 300 Consecutive Cases [PDF]
Marco E. Allaix+4 more
openalex +1 more source