AIMC Topic: Rectal Neoplasms

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Comparison of the efficacy and safety of single-port versus multi-port robotic total mesorectal excision for rectal cancer: A propensity score-matched analysis.

Surgery Nov 29, 2023
BACKGROUND: It is unknown whether the da Vinci single-port system performs similarly to the previous multi-port system during complicated procedures, such as rectal cancer surgery. Therefore, we compared the short-term clinical outcomes of single-por...
Humans Propensity Score Retrospective Studies Robotics Laparoscopy Treatment Outcome Robotic Surgical Procedures Rectal Neoplasms
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Wavelet scattering networks in deep learning for discovering protein markers in a cohort of Swedish rectal cancer patients.

Cancer medicine Nov 28, 2023
BACKGROUND: Cancer biomarkers play a pivotal role in the diagnosis, prognosis, and treatment response prediction of the disease. In this study, we analyzed the expression levels of RhoB and DNp73 proteins in rectal cancer, as captured in immunohistoc...
Humans Neural Networks, Computer Deep Learning Sweden Rectal Neoplasms Biomarkers, Tumor
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Endorobotic submucosal dissection of rectal lesions using the single port robot DaVinci-SP: initial experience of the first 10 cases.

ANZ journal of surgery Nov 27, 2023
BACKGROUND: Endoluminal surgery is increasingly recognized as a mode of treatment for colorectal neoplasms with the latest robotic single port platform Da Vinci-SP (Intuitive Surgical, Sunnyvale) facilitating submucosal dissection of benign rectal ne...
Humans Dissection Rectal Neoplasms Adenoma Robotics Aged Middle Aged Robotic Surgical Procedures
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[Multistain deep learning as a prognostic and predictive biomarker in colorectal cancer].

Pathologie (Heidelberg, Germany) Nov 21, 2023
The tumor immune microenvironment (TIME) plays a crucial prognostic and predictive role in solid malignancies such as colorectal cancer (CRC). Nevertheless, scoring systems based on TIME such as the Immunoscore (IS) are rarely used in clinical practi...
Artificial Intelligence Biomarkers Humans Deep Learning Prognosis Rectal Neoplasms Tumor Microenvironment
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Ultra-High-Resolution T2-Weighted PROPELLER MRI of the Rectum With Deep Learning Reconstruction: Assessment of Image Quality and Diagnostic Performance.

Investigative radiology Nov 17, 2023
OBJECTIVE: The aim of this study was to evaluate the impact of ultra-high-resolution acquisition and deep learning reconstruction (DLR) on the image quality and diagnostic performance of T2-weighted periodically rotated overlapping parallel lines wit...
Rectum Rectal Neoplasms Signal-To-Noise Ratio Image Interpretation, Computer-Assisted Deep Learning Magnetic Resonance Imaging Neoplasm Staging Male Middle Aged Female Reproducibility of Results Prospective Studies Aged, 80 and over Humans Adult Aged
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Application of natural language processing to post-structuring of rectal cancer MRI reports.

Clinical radiology Nov 17, 2023
AIM: To evaluate a natural language processing (NLP) system for extracting structured information from the free-form text of rectal cancer magnetic resonance imaging (MRI) reports written in Chinese.
Humans Natural Language Processing Rectal Neoplasms Magnetic Resonance Imaging Research Report
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Robotic and laparoscopic sphincter-saving resections have similar peri-operative, oncological and functional outcomes in female patients with rectal cancer.

Updates in surgery Nov 13, 2023
BACKGROUND: This study aimed to compare perioperative, long-term oncological, and anorectal functional outcomes of robotic total mesorectal excision (R-TME) and laparoscopic total mesorectal excision (L-TME) sphincter-saving total mesorectal excision...
Male Treatment Outcome Robotics Retrospective Studies Female Robotic Surgical Procedures Rectal Neoplasms Laparoscopy Humans
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Permanent stoma rate and long-term stoma complications in laparoscopic, robot-assisted, and transanal total mesorectal excisions: a retrospective cohort study.

Surgical endoscopy Nov 6, 2023
BACKGROUND: The surgical resection of rectal carcinoma is associated with a high risk of permanent stoma rate. Primary anastomosis rate is suggested to be higher in robot-assisted and transanal total mesorectal excision, but permanent stoma rate is u...
Humans Retrospective Studies Postoperative Complications Rectum Rectal Neoplasms Transanal Endoscopic Surgery Robotics Laparoscopy
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Learning curve for robotic rectal cancer resection at a community-based teaching institution.

Journal of robotic surgery Nov 3, 2023
The surgical management of rectal cancer is shifting toward more widespread use of robotics across a spectrum of medical centers. There is evidence that the oncologic outcomes are equivalent to laparoscopic resections, and the post-operative outcomes...
Rectal Neoplasms Learning Curve Robotic Surgical Procedures Rectum Humans Retrospective Studies Robotics Operative Time Laparoscopy
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Predicting multiple linear stapler firings in double stapling technique with an MRI-based deep-learning model.

Scientific reports Nov 2, 2023
Multiple linear stapler firings is a risk factor for anastomotic leakage (AL) in laparoscopic low anterior resection (LAR) using double stapling technique (DST) anastomosis. In this study, our objective was to establish the risk factors for ≥ 3 linea...
Humans Rectal Neoplasms Anastomosis, Surgical Surgical Stapling Deep Learning Laparoscopy Retrospective Studies
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