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The present study aims to collect early bright field image of patient-derived organoids with ovarian cancer. By leveraging artificial intelligence, this study will seek to construct and refine algorithms that able to predict growth of ovarian cancer organoids.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| growth prediction of ovarian cancer organoids in the frame of bright field image by leveraging AI | Other | biopsy or puncture: Patients received biopsy or puncture to obtain tumor tissues or Malignant effusion for organoids establishment |
| Measure | Description | Time Frame |
|---|---|---|
| AUC of growth prediction performance using deep learning model | AUC =Area under receiver operating characteristic curve | up to 3 years |
| Accuracy of growth prediction using deep learning model | Accuracy=( the number of correctly classified samples)/( the number of total samples) | up to 3 years |
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Inclusion Criteria:
Exclusion Criteria:
Only women get ovarian cancer
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Patients with epithelial ovarian cancer received biopsy or puncture to obtain tumor tissues or malignant effusion
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Dongling Zou, MD | Contact | 13657690699 | cqzl_zdl@163.com |
| Name | Affiliation | Role |
|---|---|---|
| Dongling Zou, M.D. | Chongqing University Cancer Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Chongqing Cancer Hospital | Recruiting | Chongqing | Chongqing Municipality | 400030 | China |
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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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| 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 |