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Prenatal diagnosis of anomalous left brachiocephalic vein courses using high-definition flow render mode and spatiotemporal image correlation.
Li, Tian-Gang; Ma, Bin; Qi, Ping-An.
Affiliation
  • Li TG; Department of Ultrasound Diagnosis, Gansu Provincial Maternity and Child-care Hospital, Lanzhou, 730050, Gansu Province, People's Republic of China.
  • Ma B; Gansu Provincial Ultrasound Imaging Clinical Medicine Research Center, Lanzhou, 730050, Gansu Province, People's Republic of China.
  • Qi PA; Department of Ultrasound Diagnosis, Gansu Provincial Maternity and Child-care Hospital, Lanzhou, 730050, Gansu Province, People's Republic of China. 153873545@qq.com.
Cardiovasc Ultrasound ; 20(1): 15, 2022 Jun 28.
Article in En | MEDLINE | ID: mdl-35765028
ABSTRACT

BACKGROUND:

This study aimed to examine the clinical value of high-definition (HD) flow render mode and spatiotemporal image correlation (STIC) to diagnose anomalous left brachiocephalic vein (LBCV) courses in fetuses. METHODS AND

RESULTS:

Seventeen cases of anomalous LBCV courses were diagnosed using two-dimensional (2D), HD-flow, and HD-flow combined with STIC images and retrospectively analyzed to examine the significance of using HD-flow combined with STIC technology in the diagnosis of anomalous LBCV courses.

CONCLUSIONS:

HD-flow combined with STIC technology can help in the diagnosis of anomalous fetal LBCV courses, and this technique has important clinical value.
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Full text: 1 Database: MEDLINE Main subject: Prenatal Diagnosis / Brachiocephalic Veins Type of study: Diagnostic_studies / Observational_studies Limits: Female / Humans / Pregnancy Language: En Journal: Cardiovasc Ultrasound Journal subject: ANGIOLOGIA / CARDIOLOGIA / DIAGNOSTICO POR IMAGEM Year: 2022 Type: Article

Full text: 1 Database: MEDLINE Main subject: Prenatal Diagnosis / Brachiocephalic Veins Type of study: Diagnostic_studies / Observational_studies Limits: Female / Humans / Pregnancy Language: En Journal: Cardiovasc Ultrasound Journal subject: ANGIOLOGIA / CARDIOLOGIA / DIAGNOSTICO POR IMAGEM Year: 2022 Type: Article