Zandbergen Kristel, Mulders Annemarie G M G J, Pietersma Carsten S, Koning Anton H J, de Bakker Bernadette S, Steegers Eric A P, Rousian Melek
Department of Obstetrics and Gynecology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
Department of Pathology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
Hum Reprod. 2025 Jun 27. doi: 10.1093/humrep/deaf112.
STUDY QUESTION: What (physiological) first-trimester fetal anatomic structures can be discerned by ultrasound (US) and can these structures be visualized using 3-dimensional (3D) US combined with virtual reality (VR) in a prospective clinical setting? SUMMARY ANSWER: 3D US combined with VR techniques has shown to be applicable for the assessment of fetal anatomy in the first trimester and may serve as a valuable tool for both professional training and patient counseling. WHAT IS KNOWN ALREADY: Due to technological developments, new imaging modalities are becoming available and the visualization of fetal anatomic structures continues to improve. Consequently, in recent years, the focus of antenatal US screening has progressively shifted toward the first trimester of pregnancy. To further assess the applicability of new imaging techniques in detecting anomalies it is essential first to demonstrate the visibility of physiological fetal anatomy. Until today, an extended overview of first-trimester physiological fetal structures discernable by US is missing and most knowledge on first-trimester fetal anatomy is still based on imaging modalities other than US evaluating ex vivo human subjects. STUDY DESIGN, SIZE, DURATION: A systematic literature search was performed by two independent reviewers in five electronic databases. All studies published between January 1946 and January 2024 in the English language, assessing ultrasonically discernible fetal structures in the first trimester of pregnancy were included. Subsequent, a literature-based checklist of ultrasonically discernible first-trimester fetal structures was developed. According to the constructed checklist, an offline VR assessment of 3D and 4-dimensional (4D) US datasets for discernable fetal structures was conducted. PARTICIPANTS/MATERIALS, SETTING, METHODS: In 55 high-risk pregnancies between a gestational age (GA) of 11+0-13+6 weeks 3D and 4D US datasets were collected prospectively and selected based on their quality. The US datasets were offline evaluated for discernable fetal structures as indicated on the predetermined checklist using VR by two trained observers. After offline VR assessment, visibility rates for all ultrasonically discernible structures were calculated as a proportion of the total number of US datasets. MAIN RESULTS AND THE ROLE OF CHANCE: A systematic literature search (N = 15 874 studies retrieved) resulted in the inclusion and quality assessment of 372 studies, from which 81 ultrasonically discernible fetal structures were identified and incorporated into the checklist. An offline VR assessment was performed in 3D and 4D US datasets of 55 pregnancies with a mean GA of 12 + 6 weeks (SD 0.4 days). The mean visibility rate of all fetal structures incorporated in the checklist was 82.2%. LIMITATIONS, REASONS FOR CAUTION: A key limitation of this study is the lack of targeted US examination during the acquisition of all 3D and 4D US datasets. A targeted approach could improve dataset quality and visibility rates in the offline evaluation of fetal anatomy using 3D US and VR. Additionally, the selection of high-quality 3D US datasets may introduce selection bias, which could impact the generalizability of the findings. Furthermore, since the study population was recruited from a tertiary referral center where US examinations were performed by experienced sonographers using a high-frequency transvaginal US transducer, there may be limitations in extrapolating these results to the broader general population, where access to such specialized expertise and equipment may be more limited. WIDER IMPLICATIONS OF THE FINDINGS: This is the first comprehensive literature-based overview of first-trimester physiological fetal structures discernable by US, which has been evaluated in a prospective clinical setting. Moreover, this study underlines the potential added value of the use of 3D US combined with VR, both as educational and reference resource for professionals and counseling in daily clinical practice. STUDY FUNDING/COMPETING INTEREST(S): No specific funding was used for the execution of this study. Departmental funds were utilized to support the authors throughout the study period and during manuscript preparation. These funds were provided by the Department of Obstetrics and Gynaecology at the Erasmus MC University Medical Center, Rotterdam, The Netherlands. The authors declare no conflicts of interest. TRIAL REGISTRATION NUMBER: N/A.
研究问题:孕早期(生理)胎儿的哪些解剖结构可以通过超声(US)辨别出来,并且在临床前瞻性研究中,这些结构能否通过三维(3D)超声结合虚拟现实(VR)技术可视化? 总结答案:3D超声结合VR技术已被证明适用于孕早期胎儿解剖结构的评估,并且可能成为专业培训和患者咨询的宝贵工具。 已知信息:由于技术发展,新的成像方式不断涌现,胎儿解剖结构的可视化也在持续改善。因此,近年来,产前超声筛查的重点已逐渐转向妊娠早期。为了进一步评估新成像技术在检测异常方面的适用性,首先必须证明生理胎儿解剖结构的可见性。到目前为止,尚无关于孕早期可通过超声辨别的胎儿生理结构的详细概述,并且关于孕早期胎儿解剖结构的大多数知识仍基于除超声外评估离体人体受试者的成像方式。 研究设计、规模、持续时间:由两名独立评审员在五个电子数据库中进行了系统的文献检索。纳入了1946年1月至2024年1月期间发表的所有英文研究,这些研究评估了妊娠早期超声可辨别的胎儿结构。随后,制定了一份基于文献的超声可辨别孕早期胎儿结构清单。根据构建的清单,对可辨别胎儿结构的3D和四维(4D)超声数据集进行了离线VR评估。 参与者/材料、设置、方法:在55例孕龄(GA)为11⁺⁰-13⁺⁶周的高危妊娠中,前瞻性收集了3D和4D超声数据集,并根据其质量进行了选择。两名经过培训的观察者使用VR对超声数据集进行离线评估,以确定预定清单上所示的可辨别胎儿结构。离线VR评估后,计算所有超声可辨别结构的可见率,作为超声数据集总数的比例。 主要结果及机遇的作用:系统的文献检索(检索到15874项研究)导致纳入并评估了372项研究的质量,并从中确定了81个超声可辨别的胎儿结构并纳入清单。对55例平均GA为12⁺⁶周(标准差0.4天)的妊娠的3D和4D超声数据集进行了离线VR评估。清单中所有胎儿结构的平均可见率为82.2%。 局限性、谨慎理由:本研究的一个关键局限性是在采集所有3D和4D超声数据集时缺乏针对性的超声检查。针对性的方法可以提高使用3D超声和VR进行胎儿解剖结构离线评估时的数据集质量和可见率。此外,选择高质量的3D超声数据集可能会引入选择偏倚,这可能会影响研究结果的普遍性。此外,由于研究人群是从一家三级转诊中心招募的,那里的超声检查由经验丰富的超声医师使用高频经阴道超声探头进行,因此将这些结果推广到更广泛的普通人群可能存在局限性,因为在普通人群中获得此类专业知识和设备的机会可能更有限。 研究结果的更广泛影响:这是基于文献的关于孕早期可通过超声辨别的胎儿生理结构的首次全面概述,并且已在临床前瞻性研究中进行了评估。此外,本研究强调了3D超声结合VR技术作为专业人员教育和参考资源以及日常临床实践咨询的潜在附加价值。 研究资金/利益冲突:本研究的实施未使用特定资金。在整个研究期间和撰写手稿期间,部门资金用于支持作者。这些资金由荷兰鹿特丹伊拉斯姆斯医学中心妇产科提供。作者声明无利益冲突。 试验注册号:无。
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