An observational study in Digestive System Disease, Polyp of Colon and Bowel Disease, sponsored by The First Affiliated Hospital of Soochow University. Active, not recruiting at 1 site in China. Open to participants aged 18 Years to 80 Years. Per ClinicalTrials.gov, last updated 2024-03-20.
Sponsored by The First Affiliated Hospital of Soochow University · Observational
Background: Accurate labeling of obstruction site on upright abdominal radiograph is a challenging task. The lack of ground truth leads to poor performance on supervised learning models. To address this issue, self-supervised learning (SSL) is proposed to classify normal, small bowel obstruction (SBO), and large bowel obstruction (LBO) radiographs using a few confirmed samples.
Methods: A few number of confirmed and a large number of unlabeled radiographs were categorized based on the ground truth. The SSL model was firstly trained on the unlabeled radiographs, and then fine-tuned on the confirmed radiographs. ResNet50 and VGG16 were used for the embedded base encoders, whose weights and parameters were adjusted during training process. Furthermore, it was tested on an independent dataset, compared with supervised learning models and human interpreters. Finally, the t-SNE and Grad-CAM were used to visualize the model's interpretation.
160 studies on the registry are indexed under Intestinal Obstruction; 27 are open to participants now.
This study's planned enrollment of 4,500 is above the median of 152 across 68 observational studies indexed under Intestinal Obstruction.
Browse Intestinal Obstruction studies →The First Affiliated Hospital of Soochow University is the lead sponsor of 252 studies on the registry; 148 are open to participants now.
Counted across the registry records on this site, refreshed daily.
participants received upright abdominal radiographs were included in this study. They can be divided with participants with normal abdominal radiographs, participants with small bowel obstruction, and participants with large bowel obstruction. The study strictly follow the inclusion and exclusion criteria.
Exclusion Criteria:
patients with normal abdominal radiographs, which were confirmed by extra imaging examinations and clinical data. The imaging examinations comprised CT, magnetic resonance imaging (MRI) and colonoscopy in the subsequent 72 hours, while clinical data included recent hospital admission information and surgical operation notes.
patients with small bowel obstruction radiographs, which were confirmed by extra imaging examinations and clinical data. The imaging examinations comprised CT, magnetic resonance imaging (MRI) and colonoscopy in the subsequent 72 hours, while clinical data included recent hospital admission information and surgical operation notes. In terms of location, small-bowel obstruction (SBO) involves the duodenum, jejunum, and ileum
patients with large bowel obstruction radiographs, which were confirmed by extra imaging examinations and clinical data. The imaging examinations comprised CT, magnetic resonance imaging (MRI) and colonoscopy in the subsequent 72 hours, while clinical data included recent hospital admission information and surgical operation notes. In terms of location, large-bowel obstruction (SBO), involves the cecum, colon, and rectum.
Diagnostic and classification performance
Accuracy, Recall, Precision, F1-score and confusion matrix
Time frame: 1 week
Visualized interpretation of the self-supervised model
Grad-CAM and t-SNE to visualize the interpretation of the SSL model
Time frame: 1 week
Plan to share: No
This study is active, not recruiting, as verified in Mar 2024. You cannot join it, but the record below documents what was studied.
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The First Affiliated Hospital of Soochow University