AIMC Topic: Rectal Neoplasms
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Robotic versus laparoscopic intersphincteric resection for low rectal cancer: comparison of the operative, oncological, and functional outcomes.
Annals of surgical oncology
Oct 18, 2014
BACKGROUND: Robotic surgery was developed to overcome the limitations of laparoscopic surgery and is increasingly used to treat low rectal cancer. In this study, we compared the operative, oncological, and functional outcomes of low rectal cancer pat...
Learning curve for robotic-assisted surgery for rectal cancer: use of the cumulative sum method.
Surgical endoscopy
Oct 3, 2014
BACKGROUND: Few data are available to assess the learning curve for robotic-assisted surgery for rectal cancer. The aim of the present study was to evaluate the learning curve for robotic-assisted surgery for rectal cancer by a surgeon at a single in...
Robotic-assisted lateral lymph node dissection for lower rectal cancer: short-term outcomes in 50 consecutive patients.
Surgical endoscopy
Aug 19, 2014
BACKGROUND: The goal of this study was to evaluate the short-term outcomes of robotic-assisted lateral lymph node dissection for patients with advanced lower rectal cancer.
Simultaneous development of laparoscopy and robotics provides acceptable perioperative outcomes and shows robotics to have a faster learning curve and to be overall faster in rectal cancer surgery: analysis of novice MIS surgeon learning curves.
Surgical endoscopy
Jul 17, 2014
BACKGROUND: Laparoscopy offers some evidence of benefit compared to open rectal surgery. Robotic rectal surgery is evolving into an accepted approach. The objective was to analyze and compare laparoscopic and robotic rectal surgery learning curves wi...
Comparison of clinical, radiomics, deep learning, and fusion models for predicting early recurrence in locally advanced rectal cancer based on multiparametric MRI: a multicenter study.
European journal of radiology
Aug 1, 2025
OBJECTIVE: Predicting early recurrence (ER) in locally advanced rectal cancer (LARC) is critical for clinical decision-making. This study aimed at comparing clinical, deep learning (DL), radiomics, and two fusion models for ER prediction based on mul...
[Progress in neoadjuvant immunotherapy for locally advanced rectal cancer].
Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery
Jun 25, 2025
Neoadjuvant chemoradiotherapy (NACRT) is the standard treatment for locally advanced rectal cancer (LARC), yet the pathological complete response (pCR) rates remain suboptimal. The introduction of immunotherapy has opened new avenues for LARC managem...
[Preoperative anal function assessment in sphincter-preserving surgery for rectal cancer: clinical significance and strategies].
Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery
Jun 25, 2025
Sphincter-preserving surgery has become the mainstream approach for mid-to-low rectal cancer, yet postoperative anal dysfunction (low anterior resection syndrome, LARS) occurs in 30%-50% of patients, significantly impacting quality of life. This revi...
3-D contour-aware U-Net for efficient rectal tumor segmentation in magnetic resonance imaging.
Medical engineering & physics
Jun 1, 2025
Magnetic resonance imaging (MRI), as a non-invasive detection method, is crucial for the clinical diagnosis and treatment plan of rectal cancer. However, due to the low contrast of rectal tumor signal in MRI, segmentation is often inaccurate. In this...
Serum calcium-based interpretable machine learning model for predicting anastomotic leakage after rectal cancer resection: A multi-center study.
World journal of gastroenterology
May 21, 2025
BACKGROUND: Despite the promising prospects of utilizing artificial intelligence and machine learning (ML) for comprehensive disease analysis, few models constructed have been applied in clinical practice due to their complexity and the lack of reaso...
Deep learning models based on multiparametric magnetic resonance imaging and clinical parameters for identifying synchronous liver metastases from rectal cancer.
BMC medical imaging
May 19, 2025
OBJECTIVES: To establish and validate deep learning (DL) models based on pre-treatment multiparametric magnetic resonance imaging (MRI) images of primary rectal cancer and basic clinical data for the prediction of synchronous liver metastases (SLM) i...
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