PMID- 35511413 OWN - NLM STAT- MEDLINE DCOM- 20220621 LR - 20220621 IS - 2523-899X (Electronic) IS - 2523-899X (Linking) VI - 42 IP - 3 DP - 2022 Jun TI - Feasibility of Transabdominal Real-time CDFI and HDFI Techniques for Fetal Pulmonary Vein Display in the First Trimester. PG - 635-641 LID - 10.1007/s11596-022-2569-5 [doi] AB - OBJECTIVE: This study aimed to assess the feasibility and usefulness of transabdominal color Doppler flow imaging (CDFI) technology and the high-definition flow imaging (HDFI) technique in detecting fetal pulmonary veins (PVs) in the first trimester (11-13(+6) weeks). METHODS: From December 2018 to October 2019, 328 pregnant women with 328 normal singleton fetuses (crown-rump length: 45-84 mm) who had undergone CDFI and HDFI scans for fetal heart and vessel examination were enrolled in this study. The cases were divided into three groups according to the gestational age: group A, 11(+0) -11(+6) weeks; group B, 12(+0) -12(+6) weeks; and group C, 13(+0) -13(+6) weeks. Baseline sonograms and CDFI and HDFI images were analyzed by two senior radiologists independently and blindly. The abilities of CDFI and HDFI to display PVs were compared. RESULTS: Successful PV display rates via CDFI and HDFI were 2.3% and 68.2% (P<0.01), 22.4% and 82.4% (P<0.01), 41.5% and 91.2% (P<0.01) for group A, group B, and group C, respectively. The total successful display rates for the two methods were 28.9% (CDFI) and 84.8% (HDFI) (P<0.01). CONCLUSIONS: The HDFI technique is more valuable than CDFI for detecting PVs in early pregnancy (11-13(+6) weeks). HDFI can detect at least one PV in all cases and may be used to detect pulmonary venous anomalies early. CI - (c) 2022. Huazhong University of Science and Technology. FAU - Lin, Dong-Mei AU - Lin DM AD - Department of Medical Ultrasonics, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, 518107, China. AD - Department of Medical Ultrasonics, South China Hospital of Shenzhen University, Shenzhen, 518000, China. FAU - Zhu, Yun-Xiao AU - Zhu YX AD - Department of Medical Ultrasonics, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, 518107, China. FAU - Tan, Ying AU - Tan Y AD - Department of Medical Ultrasonics, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, 518107, China. FAU - Huang, Yu-Jun AU - Huang YJ AD - Department of Medical Ultrasonics, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, 518107, China. FAU - Yuan, Kun AU - Yuan K AD - Department of Medical Ultrasonics, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, 518107, China. FAU - Liu, Wen-Fen AU - Liu WF AD - Department of Medical Ultrasonics, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, 518107, China. FAU - Xu, Zuo-Feng AU - Xu ZF AD - Department of Medical Ultrasonics, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, 518107, China. newlifexzf77@163.com. LA - eng PT - Journal Article DEP - 20220505 PL - China TA - Curr Med Sci JT - Current medical science JID - 101729993 SB - IM MH - Feasibility Studies MH - Female MH - Fetus/diagnostic imaging MH - Humans MH - Infant MH - Pregnancy MH - Pregnancy Trimester, First MH - *Pulmonary Veins/diagnostic imaging MH - Ultrasonography, Doppler, Color/methods OTO - NOTNLM OT - color Doppler flow imaging OT - first trimester OT - high-definition flow imaging OT - prenatal sonography OT - pulmonary vein EDAT- 2022/05/06 06:00 MHDA- 2022/06/22 06:00 CRDT- 2022/05/05 12:04 PHST- 2021/02/24 00:00 [received] PHST- 2021/06/07 00:00 [accepted] PHST- 2022/05/06 06:00 [pubmed] PHST- 2022/06/22 06:00 [medline] PHST- 2022/05/05 12:04 [entrez] AID - 10.1007/s11596-022-2569-5 [pii] AID - 10.1007/s11596-022-2569-5 [doi] PST - ppublish SO - Curr Med Sci. 2022 Jun;42(3):635-641. doi: 10.1007/s11596-022-2569-5. Epub 2022 May 5.