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Radiomics Based Multimodal Transvaginal Ultrasound Imaging in Endometrial Cancer

NCT05387460 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 2000

Last updated 2022-05-24

No results posted yet for this study

Summary

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.

Conditions

Interventions

DIAGNOSTIC_TEST

radiomics

Radiomics refers to high-throughput mining of quantitative image features from medical imaging. Radiomics derived data, when combined with other pertinent clinicopathological features, can produce accurate and robust evidence-based decision-making systems. Multimodal radiomics can provide more imaging feature information than single modal radiomics, which showed better diagnostic performance in previous study of kinds of cancer diseases.

Sponsors & Collaborators

  • Women's Hospital School Of Medicine Zhejiang University

    collaborator OTHER

  • Tongji Hospital

    lead OTHER

Eligibility

Min Age
18 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-10-01
Primary Completion
2022-12-01
Completion
2023-07-01

Countries

  • China

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05387460 on ClinicalTrials.gov