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| Name | Class |
|---|---|
| The Second Affiliated Hospital of Harbin Medical University | OTHER |
| Sichuan provincial maternity and child health care hospital | UNKNOWN |
| The Affiliated Hospital of Qingdao University | OTHER |
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Research on automatic detection of ovarian mass and intelligent auxiliary diagnosis system based on multimodal ultrasound images.
Investigators aimed to develop an ultrasonic intelligent diagnosis system for ovarian mass based on multimodal ultrasound images.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Training cohort | Training cohort is used to training artificial model based on multimodel ultrasound images or videos. | ||
| Validation cohort | Validation cohort is used to validate artificial model. |
| |
| Internal test cohort | Internal test cohort is used to internally test artificial model. |
| |
| External test cohort | External test cohort is used to internally test artificial model. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Artificial intelligence model | Diagnostic Test | Using the artificial intelligence model to diagnosis benign, borderline, and malignant ovarian masses. |
|
| Measure | Description | Time Frame |
|---|---|---|
| Area under the curve | AUC (Area Under the Curve) is a common index used to evaluate the performance of binary classification model. | Through study completion, an average of 1 year |
| Measure | Description | Time Frame |
|---|---|---|
| Sensitivity | Sensitivity refers to the ability of the test to correctly identify a positive result in an individual who actually has the disease. It represents the proportion of cases in which the test is able to detect a positive for the disease | Through study completion, an average of 1 year |
| Measure | Description | Time Frame |
|---|---|---|
| Specificity | Specificity refers to the ability of the test to correctly identify a negative result in an individual who does not actually have the disease. It represents the proportion of cases where the disease is negative that the test is able to detect. | Through study completion, an average of 1 year |
| Accuracy |
Inclusion Criteria:
Exclusion Criteria:
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During gynecological ultrasound examination, at least one patient with persistent ovarian tumor was found. The patient underwent surgical treatment and the histopathological results.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Yingnan Wu, Doctor | Contact | 0086 19883106164 | litaosun1971@sina.com |
| Name | Affiliation | Role |
|---|---|---|
| Litao Sun, Professor | Zhejiang Provincial People's Hospital | Study Chair |
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| ID | Term |
|---|---|
| D010051 | Ovarian Neoplasms |
| ID | Term |
|---|---|
| D004701 | Endocrine Gland Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D010049 | Ovarian Diseases |
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| Aksu First People's Hospital | UNKNOWN |
| Women's Hospital School Of Medicine Zhejiang University | OTHER |
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Accuracy refers to the degree to which the results of the diagnostic test are consistent with the actual situation |
| Through study completion, an average of 1 year |
| Positive predicative value | Positive Predictive Value indicates the probability that a test result will be true if it is positive. In other words, it represents the proportion of individuals who are diagnosed as positive when the test result is positive who actually have the disease | Through study completion, an average of 1 year |
| Negative predictive value | Negative Predictive Value refers to the probability that if a test result is negative, the result will be true negative. It represents the proportion of individuals who are diagnosed as negative when the test results are negative that are truly free of the disease | Through study completion, an average of 1 year |
| D000291 |
| Adnexal Diseases |
| D005831 | Genital Diseases, Female |
| D052776 | Female Urogenital Diseases |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D005833 | Genital Neoplasms, Female |
| D014565 | Urogenital Neoplasms |
| D000091662 | Genital Diseases |
| D004700 | Endocrine System Diseases |
| D006058 | Gonadal Disorders |