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©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Cases. Jun 16, 2024; 12(17): 3053-3060
Published online Jun 16, 2024. doi: 10.12998/wjcc.v12.i17.3053
Published online Jun 16, 2024. doi: 10.12998/wjcc.v12.i17.3053
Diagnostic efficacy of virtual organ computer-assisted analysis in measuring the volume ratio of subchorionic hematoma with serum progesterone
Lin-Ling Shen, Chang-Wei Ding, Gao-Le Dai, Qi Ma, Department of Ultrasound, The Second Affiliated Hospital of Soochow University, Suzhou 215004, Jiangsu Province, China
Jing Shi, Department of Ultrasound, Wuxi People’s Hospital of Nanjing Medical University, Wuxi 211103, Jiangsu Province, China
Co-first authors: Lin-Ling Shen and Jing Shi.
Author contributions: Shen LL and Wang Ma Q conceptualized this study, Shi J, and Ding CW contributed to data collection; Shen LL and Dai GL drafted the initial manuscript and contributed to formal analysis; Ma Q provided guidance for this study and contributed to methodology and visualization together with Ding CW; Shen LL and Ma Q validated this study; Shen LL and Shi J, as the first authors, have made equal contributions to this study; All authors participated in this study and jointly reviewed and edited the manuscript.
Institutional review board statement: This study has received ethical review and approval from the Second Affiliated Hospital of Soochow Universe.
Informed consent statement: This study has obtained the consent of the patient or guardian.
Conflict-of-interest statement: We declare that there is no conflict of interest disclosure.
Data sharing statement: No available data.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/.
Corresponding author: Qi Ma, MD, Chief Physician, Department of Ultrasound, The Second Affiliated Hospital of Soochow University, No. 1055 Sanxiang Road, Gusu District, Suzhou 215004, Jiangsu Province, China. maqisz@163.com
Received: March 4, 2024
Revised: April 15, 2024
Accepted: April 22, 2024
Published online: June 16, 2024
Processing time: 92 Days and 7.9 Hours
Revised: April 15, 2024
Accepted: April 22, 2024
Published online: June 16, 2024
Processing time: 92 Days and 7.9 Hours
Core Tip
Core Tip: This study demonstrates the utility of virtual organ computer-assisted analysis (VOCAL) in assessing subchorionic hematoma (SCH) severity by measuring the 3D volume ratio of SCH to gestational sac (GS) in early pregnancy. The combination of VOCAL measurements with serum progesterone levels significantly improves the prediction of adverse pregnancy outcomes. Higher ratios of SCH to GS size were associated with adverse outcomes, with VOCAL-measured 3DVs/3DVg showing the highest predictive performance. These findings highlight the importance of advanced imaging techniques and biomarkers for early SCH assessment and management in pregnant patients.