Abstract
The study drew attention to the therapeutic effects of cold snare polypectomy guided by a deep convolutional neural network- (CNN-) based abdominal CT and hot snare polypectomy (HSP) on colonic and rectal polyps. Specifically, 90 patients were enrolled into a blank group, a control (Ctrl) group, and an experimental group. The blank group accepted HSP, the Ctrl accepted cold snare polypectomy, and the experimental group accepted cold snare polypectomy guided by deep CNN-based CT images. It was found that the experimental group had the lowest false-positive rate (9.2%) in polyp detection in contrast with the Ctrl (21.4%) and the blank group (52.3%) P < 0.05 . The complete resection rate of large polyps in the experimental group was the highest P < 0.05 , and its operation time (2.91 ± 0.75 min) was obviously shorter versus the blank group (6.18 ± 1.19 min) P < 0.05 . In conclusion, the cold snare polypectomy under the guidance of deep CNN-based CT has a relatively high complete resection rate and detection accuracy of polyps with a low complication rate, which can be adopted clinically.
Highlights
Ey are polygenic genetic diseases caused by mutations in two or more pairs of disease-causing genes and are jointly affected by genetic factors and environmental factors. e commonly used treatment methods for this disease are colonoscopy, primary treatment, and surgical treatment such as removing colonic and rectal polyps by hot snare polypectomy (HSP). e snare is one of the commonly used digestive endoscopy accessories in endoscopic treatment
It is mainly used for the resection of gastrointestinal polyps, raised lesions, flat lesions, and early gastrointestinal cancer, such as endoscopic mucosal resection (EMR) and multiband mucosectomy (MBM). e use of the cold snare technique to treat colorectal polyps can obviously reduce intraoperative blood loss, which is able to monitor intraoperative bleeding caused by submucosal vascular injury in real-time and demonstrates better treatment effects on colorectal polyps with relatively high safety and effectiveness
The experimental group accepted cold snare polypectomy guided by deep CNN-based Computed Tomography (CT) images
Summary
Ey are polygenic genetic diseases caused by mutations in two or more pairs of disease-causing genes and are jointly affected by genetic factors and environmental factors. e commonly used treatment methods for this disease are colonoscopy, primary treatment (such as chronic ulcerative colitis and Crohn’s granuloma), and surgical treatment such as removing colonic and rectal polyps by HSP (applicable to the diameter of 6 to 9 mm raised or pedicled polyps). e snare is one of the commonly used digestive endoscopy accessories in endoscopic treatment. Computer technology has been extensively used in medical diagnosis, such as the commonly used Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) [1, 2]. CNN is a feedforward neural network, which can effectively reduce the complexity of feedback neural network [5, 6] and can be used to identify some distorted but not deformed two-dimensional images. It is one of the representative algorithms of deep learning [7]. E first CNN is a time delay network proposed by foreign scholars and experts [9], which is used for speech recognition, and the second is a translational invariant artificial neural network, which is used for medical image detection and recognition [10,11,12,13,14]. en, with the introduction of deep learning theory and the updating of numerical computing equipment, CNNs have progressed gradually, and its representation learning capabilities begin to receive widespread attention
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