Endometrial Cancer Clinical Trial
Official title:
Radiomics Based on Multimodal Transvaginal Ultrasound Imaging in Predicting Endometrial Cancer and Cervical Stromal Invasion
Verified date | May 2022 |
Source | Tongji Hospital |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
Retrospectively collect preoperative transvaginal B-mode ultrasound (BMUS), color Doppler flow imaging (CDFI) and three-dimensional ultrasound (3D-US) images and clinical data in patients with non-endometrial cancer diseases and endometrial cancer confirmed by pathology. They were grouped as training set(Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology) and external validation set(Women's Hospital, School of Medicine, Zhejiang University) . Radiomics features were extracted from corresponding transvaginal ultrasound images. Then, the minimum redundancy maximum relevance (mRMR) algorithm and the least absolute shrinkage and selection operator (LASSO) regression were used to select the non- malignant or malignant status-related features and cervical stromal invasion (CSI) status or non-CSI status features and construct the transvaginal ultrasound radiomics score (Rad-score). Multivariate logistic regression was performed using the three radiomics score together with clinical data, and subsequently develop a nomogram to diagnosis endometrial cancer and CSI respectively. The performance of the nomogram was assessed by discrimination, calibration, and clinical usefulness in the training and external validation set.
Status | Active, not recruiting |
Enrollment | 2000 |
Est. completion date | July 1, 2023 |
Est. primary completion date | December 1, 2022 |
Accepts healthy volunteers | No |
Gender | Female |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: 1. Patients diagnosed by operation and pathology 2. Patients with preoperative transvaginal ultrasound images Exclusion Criteria: 1. Past history of gynecological malignant tumors 2. Previous pelvic surgery or radiotherapy or chemotherapy 3. Poor image quality 4. Incomplete pathological or diagnosis report |
Country | Name | City | State |
---|---|---|---|
China | Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology | Wuhan | Hubei |
Lead Sponsor | Collaborator |
---|---|
Tongji Hospital | Women's Hospital School Of Medicine Zhejiang University |
China,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | AUC value | Area under the receiver operating characteristic (ROC) curve (AUC) | through study completion, an average of 1 year | |
Secondary | Diagnostic specificity | diagnosis specificity of intelligent ultrasound analysis | through study completion, an average of 1 year | |
Secondary | Diagnostic sensitivity | diagnosis sensitivity of intelligent ultrasound analysis | through study completion, an average of 1 year |
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