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Esophageal Neoplasms

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Automated clinical decision support system with deep learning dose prediction and NTCP models to evaluate treatment complications in patients with esophageal cancer.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
BACKGROUND AND PURPOSE: This study aims to investigate how accurate our deep learning (DL) dose prediction models for intensity modulated radiotherapy (IMRT) and pencil beam scanning (PBS) treatments, when chained with normal tissue complication prob...

Atom Search Optimization with the Deep Transfer Learning-Driven Esophageal Cancer Classification Model.

Computational intelligence and neuroscience
Esophageal cancer (EC) is a commonly occurring malignant tumor that significantly affects human health. Earlier recognition and classification of EC or premalignant lesions can result in highly effective targeted intervention. Accurate detection and ...

Robot-assisted transthoracic hybrid esophagectomy versus open and laparoscopic hybrid esophagectomy: propensity score matched analysis of short-term outcome.

Langenbeck's archives of surgery
PURPOSE: Minimally invasive en-bloc esophagectomy is associated with a reduction of postoperative morbidity. This was demonstrated for both total minimally invasive and hybrid esophagectomy. However, little is known about any benefits of robotic assi...

Study on image data cleaning method of early esophageal cancer based on VGG_NIN neural network.

Scientific reports
In order to clean the mislabeled images in the esophageal endoscopy image data set, we designed a new neural network VGG_NIN. Based on the new neural network structure, we developed a method to clean the mislabeled images in the esophageal endoscopy ...

Why pay more for robot in esophageal cancer surgery?

Updates in surgery
Esophagectomy is the gold standard for the treatment of resectable esophageal cancer. Traditionally, it is performed through a laparotomy and a thoracotomy, and is associated with high rates of postoperative complications and mortality. The advent of...

Meta-analysis of robot-assisted versus video-assisted McKeown esophagectomy for esophageal cancer.

Updates in surgery
We aim to review the available literature on patients with esophageal cancer treated with robot-assisted (RAME) or video-assisted McKeown's esophagectomy (VAME), to compare the efficacy and safety of the two approaches. Original research studies that...

Continuously sutured versus linear-stapled anastomosis in robot-assisted hybrid Ivor Lewis esophageal surgery following neoadjuvant chemoradiotherapy: a single-center cohort study.

Surgical endoscopy
BACKGROUND: Esophageal cancer surgery is technically highly demanding. During the past decade robot-assisted surgery has successfully been introduced in esophageal cancer treatment. Various techniques are being evaluated in different centers. In part...

Deep-learning-based classification of desmoplastic reaction on H&E predicts poor prognosis in oesophageal squamous cell carcinoma.

Histopathology
AIMS: Desmoplastic reaction (DR) categorisation has been shown to be a promising prognostic factor in oesophageal squamous cell carcinoma (ESCC). The usual DR evaluation is performed using semiquantitative scores, which can be subjective. This study ...

[Robot-assisted Minimally Invasive Oesophagectomy - Surgical Variants of Intrathoracic Circular Stapled Oesophagogastric Anastomosis].

Zentralblatt fur Chirurgie
INTRODUCTION: Anastomotic insufficiency after oesophagectomy contributes significantly to morbidity and mortality of affected patients. A safe surgical technique can reduce the incidence of such anastomotic insufficiencies.