Results 61 to 70 of about 54,302 (180)

Neuroendocrine Rectal Tumors: Main Features and Management

open access: yesGE: Portuguese Journal of Gastroenterology, 2015
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]

open access: yes
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]

open access: yesTech Coloproctol, 2023
Kimura CMS   +11 more
europepmc   +1 more source

Ablação de tumor de canal anal tratado com laser de diodo: seguimento após 17 meses

open access: yesRevista do Colégio Brasileiro de Cirurgiões
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]

open access: yesBrazilian Journal of Nephrology
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

Deep Convolutional Neural Networks for Imaging Data Based Survival Analysis of Rectal Cancer [PDF]

open access: yesarXiv, 2019
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]

open access: yesarXiv
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]

open access: green, 2009
Marco E. Allaix   +4 more
openalex   +1 more source

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