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Rectal Neoplasms

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Dual parallel net: A novel deep learning model for rectal tumor segmentation via CNN and transformer with Gaussian Mixture prior.

Journal of biomedical informatics
Segmentation of rectal cancerous regions from Magnetic Resonance (MR) images can help doctor define the extent of the rectal cancer and judge the severity of rectal cancer, so rectal tumor segmentation is crucial to improve the accuracy of rectal can...

A comparison between the da Vinci Xi EndoWrist Stapler and a conventional laparoscopic stapler in rectal transection: A randomized controlled trial.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Distal rectal transection following robotic total mesorectal excision for rectal cancer is challenging. This can be performed with either a robotic stapler (RS) or laparoscopic stapler (LS). We compared the operative outcomes and ergonomi...

Robotic low anterior resection for low rectal cancer - A Video Vignette.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland

Robot-assisted TAMIS: a systematic review of feasibility and outcomes.

Surgical endoscopy
BACKGROUND: In the advancement of transanal local excision, robot-assisted transanal minimal invasive surgery is the newest development. In the confined area of the rectum, robot-assisted surgery should, theoretically, be superior due to articulated ...

Robotic pelvic side-wall lymph node dissection for rectal cancer: a systematic review of videos and application of the IDEAL 2A framework.

Journal of robotic surgery
Lateral pelvic lymph node dissection (LPLND) in rectal cancer has gained increasing traction worldwide. Robotic LPLND is an emerging technique. Utilising the IDEAL (idea, development, exploration, assessment and long-term follow-up) framework for sur...

Assessing the learning curve of robot-assisted total mesorectal excision: a multicenter study considering procedural safety, pathological safety, and efficiency.

International journal of colorectal disease
PURPOSE: Evidence regarding the learning curve of robot-assisted total mesorectal excision is scarce and of low quality. Case-mix is mostly not taken into account, and learning curves are based on operative time, while preferably clinical outcomes an...

Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer.

Nature medicine
Although it has long been known that the immune cell composition has a strong prognostic and predictive value in colorectal cancer (CRC), scoring systems such as the immunoscore (IS) or quantification of intraepithelial lymphocytes are only slowly be...

Comparison of Operative Time Between Robotic and Laparoscopic Low Anterior Resection for Rectal Cancer:A Systematic Review and Meta-Analysis.

Surgical innovation
Previous studies have shown that the robotic approach has better perioperative outcomes but longer operative time than the laparoscopic approach for patients undergoing low anterior resection. However, the impact of the learning curve on operative t...

Classification of IHC Images of NATs With ResNet-FRP-LSTM for Predicting Survival Rates of Rectal Cancer Patients.

IEEE journal of translational engineering in health and medicine
BACKGROUND: Over a decade, tissues dissected adjacent to primary tumors have been considered "normal" or healthy samples (NATs). However, NATs have recently been discovered to be distinct from both tumorous and normal tissues. The ability to predict ...