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| Name | Class |
|---|---|
| The First Affiliated Hospital of Zhengzhou University | OTHER |
| Capital Medical University | OTHER |
| Beijing Anzhen Hospital | OTHER |
| Shanghai East Hospital of Tongji University |
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Laparoscopic cholecystectomy is a common surgical procedure, but it carries the potential for bile duct injury and other surgical risks. To provide visual assistance to surgeons during surgery and mitigate these risks, this research project aims to develop a real-time object recognition algorithm based on deep learning technology. This algorithm will label key anatomical structures in laparoscopic cholecystectomy videos, providing surgeons with immediate information on dangerous and safe areas.
Laparoscopic cholecystectomy is a common surgical procedure, but it carries the potential for bile duct injury and other surgical risks. To provide visual assistance to surgeons during surgery and mitigate these risks, this research project aims to develop a real-time object recognition algorithm based on deep learning technology. This algorithm will label key anatomical structures in laparoscopic cholecystectomy videos, providing surgeons with immediate information on dangerous and safe areas.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| The First Affiliated Hospital of Zhengzhou University | patients aged 18 years and older diagnosed with laparoscopic cholecystectomy. We will collect information such as laparoscopic cholecystectomy videos and procedure type, excluding patients who did not undergo surgery at the original hospital or whose videos were blurry. |
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| Beijing Luhe Hospital, Capital Medical University | patients aged 18 years and older diagnosed with laparoscopic cholecystectomy. We will collect information such as laparoscopic cholecystectomy videos and procedure type, excluding patients who did not undergo surgery at the original hospital or whose videos were blurry. |
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| Shanghai East Hospital of Tongji University | patients aged 18 years and older diagnosed with laparoscopic cholecystectomy. We will collect information such as laparoscopic cholecystectomy videos and procedure type, excluding patients who did not undergo surgery at the original hospital or whose videos were blurry. |
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| Peking university people's hospital | patients aged 18 years and older diagnosed with laparoscopic cholecystectomy. We will collect information such as laparoscopic cholecystectomy videos and procedure type, excluding patients who did not undergo surgery at the original hospital or whose videos were blurry |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| AI-assisted Intraoperative Anatomy Analysis | Diagnostic Test | This is a prospective study on patients aged 18 years or more diagnosed with laparoscopic cholecystectomy. We will collect information such as laparoscopic cholecystectomy videos and procedure type, excluding patients who did not undergo surgery at the original hospital or whose videos were blurry. |
| Measure | Description | Time Frame |
|---|---|---|
| Dice Similarity Coefficient | Dice Similarity Coefficient is a statistical measure of the similarity between two sets of data. In the context of image segmentation, it is used to quantify the spatial overlap between a predicted segmentation mask and its corresponding ground truth mask. | 3 years |
| Mean Intersection over Union | Mean Intersection over Union provides a measure of the overlap between the predicted segmentation and the ground truth, averaged across all classes present in the dataset. | 3 years |
| Global Accuracy | The proportion of correctly classified pixels out of the total number of pixels in the image. | 3 years |
| Measure | Description | Time Frame |
|---|---|---|
| Inference Latency | time taken by the algorithm to process a single video frame and generate the segmentation masks (inference latency), or equivalently, the number of frames processed per second | 3 years |
| Measure | Description | Time Frame |
|---|---|---|
| Class-Specific Precision and Recall for Critical Structures | Precision: The proportion of predicted pixels for a structure that are actually part of that structure Recall: The proportion of actual ground truth pixels for a structure that were correctly identified by the algorithm | 3 years |
Inclusion Criteria:
Exclusion Criteria:
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Patients aged 18 or above who are diagnosed by a doctor as needing laparoscopic cholecystectomy
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Di Dong, Ph.D | Contact | +86 010-82618465 | di.dong@ia.ac.cn | |
| Qian Liang, M.A. | Contact | liangqian2016@ia.ac.cn |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| The First Affiliated Hospital of Zhengzhou University | Recruiting | Zhengzhou | Henan | China |
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| OTHER |
| Peking University People's Hospital | OTHER |
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We are collecting laparoscopic cholecystectomy videos and related information. We plan to collect 2,000 retrospective and 200 prospective cases. Enrollment is limited to patients aged 18 years and older diagnosed with laparoscopic cholecystectomy. We will collect information such as laparoscopic cholecystectomy videos and procedure type, excluding patients who did not undergo surgery at the original hospital or whose videos were blurry.
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| Beijing Anzhen Hospital, Capital Medical University | Recruiting | Beijing | China |
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| Beijing Luhe Hospital, Capital Medical University | Recruiting | Beijing | China |
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| Peking university people's hospital | Recruiting | Beijing | China |
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| Shanghai East Hospital of Tongji University | Recruiting | Shanghai | China |
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