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Rectal Neoplasms

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Learning curves for minimally invasive total mesorectal excision beyond the competency phase - a risk-adjusted cumulative sum analysis of 1000 rectal resections.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland
AIM: The learning curve of total mesorectal excision (TME) by minimally invasive surgery (MIS) beyond the competency phase has not been adequately reported with large numbers or using a statistical control limit. The aim of this work was to study the...

Technical, functional, and oncological validity of robot-assisted total-intersphincteric resection (T-ISR) for lower rectal cancer.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
BACKGROUND: Few studies fairly compared anorectal function and prognostic outcomes between patients undergoing abdominoperineal resection (APR) and anorectal-function-saving operations (ASO) under the equivalent conditions. By contrast, surgeons used...

Robot-assisted anterior resection for rectal cancer with double inferior vena cava: A case report.

Asian journal of endoscopic surgery
Double inferior vena cava (DIVC) is a rare but generally asymptomatic condition that is often detected incidentally by radiological examinations such as computed tomography (CT). Here, we describe the case of a 73-year-old woman with DIVC, who underw...

Predictors of operative difficulty in robotic low anterior resection for rectal cancer.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland
AIM: This study evaluates the relationship of tumour and anatomical features with operative difficulty in robotic low anterior resection performed by four experienced surgeons in a high-volume colorectal cancer practice.

Deep-learning-based 3D super-resolution MRI radiomics model: superior predictive performance in preoperative T-staging of rectal cancer.

European radiology
OBJECTIVES: To investigate the feasibility and efficacy of a deep-learning (DL)-based three-dimensional (3D) super-resolution (SR) MRI radiomics model for preoperative T-staging prediction in rectal cancer (RC).

Artificial intelligence-based technology for semi-automated segmentation of rectal cancer using high-resolution MRI.

PloS one
AIM: Although MRI has a substantial role in directing treatment decisions for locally advanced rectal cancer, precise interpretation of the findings is not necessarily available at every institution. In this study, we aimed to develop artificial inte...

Combined artificial intelligence and radiologist model for predicting rectal cancer treatment response from magnetic resonance imaging: an external validation study.

Abdominal radiology (New York)
PURPOSE: To evaluate an MRI-based radiomic texture classifier alone and combined with radiologist qualitative assessment in predicting pathological complete response (pCR) using restaging MRI with internal training and external validation.

Local recurrence of robot-assisted total mesorectal excision: a multicentre cohort study evaluating the initial cases.

International journal of colorectal disease
PURPOSE: Evidence regarding local recurrence rates in the initial cases after implementation of robot-assisted total mesorectal excision is limited. This study aims to describe local recurrence rates in four large Dutch centres during their initial c...

The learning curve of laparoscopic, robot-assisted and transanal total mesorectal excisions: a systematic review.

Surgical endoscopy
BACKGROUND: The standard treatment of rectal carcinoma is surgical resection according to the total mesorectal excision principle, either by open, laparoscopic, robot-assisted or transanal technique. No clear consensus exists regarding the length of ...