Evidence map›Paper›PMID 42251271›Full record

ArticleBMC medical imaging2026

Novel markers on microvascular flow imaging for identifying holoprosencephaly.

Zhen Li, Yuanjie Cui, Cuixia Guo, Juan Zhang, Lei Wang, Zhaoxia Jia, Yuting Wu, Qingqing Wu, Lijuan Sun

Abstract read
In one paragraph

Article in BMC medical imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Zhen Li *Department of Ultrasound, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, No. 251, Yaojiayuan Road, Chaoyang District, Beijing, China.
Yuanjie Cui *Department of Ultrasound, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, No. 251, Yaojiayuan Road, Chaoyang District, Beijing, China.
Cuixia GuoDepartment of Ultrasound, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, No. 251, Yaojiayuan Road, Chaoyang District, Beijing, China.
Juan ZhangDepartment of Ultrasound, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, No. 251, Yaojiayuan Road, Chaoyang District, Beijing, China.
Lei WangDepartment of Information and Statistics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China.
Zhaoxia JiaDepartment of Information and Statistics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China.
Yuting WuDepartment of Ultrasound, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, No. 251, Yaojiayuan Road, Chaoyang District, Beijing, China.
Qingqing WuDepartment of Ultrasound, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, No. 251, Yaojiayuan Road, Chaoyang District, Beijing, China. qingqingwu@ccmu.edu.cn.
Lijuan SunDepartment of Ultrasound, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, No. 251, Yaojiayuan Road, Chaoyang District, Beijing, China. sunlijuan@ccmu.edu.cn.

Funding

a high-level public health technical talent construction project training plan Subject Backstone-02-06Beijing Municipal Science & Technology Commission Z211100002921017Beijing Natural Science Foundation 7222063National Natural Science Foundation of China 81701704
6 · The paper itself

Abstract

objectivesTo establish gestational age-specific reference ranges for two new indices, the forehead-anterior cerebral artery angle (FACAA) and forehead-anterior cerebral artery distance (FACAD), and to objectively evaluate their diagnostic effectiveness, measured using Doppler technology with microvascular flow imaging, for identifying holoprosencephaly, even the semilobar and lobar types, in early pregnancy.

methodsWe evaluated FACAA and FACAD in 462 normal fetuses between 12 and 34 gestational weeks (GW) to generate normative reference ranges. Additionally, we evaluated these two indices in 41 fetuses with holoprosencephaly and 34 fetuses with similar two-dimensional ultrasound features (the study group), including 20 fetuses with agenesis of the corpus callosum and 14 with isolated absent septum pellucidum/septo-optic dysplasia.

resultsIn the normal group, FACAA was almost stable throughout pregnancy, whereas FACAD increased with GW. All fetuses with holoprosencephaly had both smaller FACAA (13.99-38.00°, ≤5th percentile) and shorter FACAD (1.6-10.5 mm, ≤5th percentile). The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and negative likelihood ratio (LR-) of FACAA for the prediction of holoprosencephaly in fetuses with an intracranial malformation were 100% (95% confidence interval [CI]: 89.3-100.0%), 100% (95% CI: 87.4-100.0%), 100% (95% CI: 89.3-100%), 97.1% (95% CI: 82.9-99.8%), and 0, respectively. The sensitivity, specificity, PPV, NPV, and LR- of FACAD for the prediction of holoprosencephaly in fetuses with an intracranial malformation were 97.6% (95% CI: 85.9-99.9%), 100% (95% CI: 87.0-100.0%), 100% (95% CI: 89.3-100%), 97.1% (95% CI: 82.9-99.8%), and 0.02 (95% CI: 0.003-0.165), respectively.

conclusionFACAA and FACAD are sensitive, easy-to-measure indicators for the prenatal identification of holoprosencephaly, even in early pregnancy. These indices provide objective assessment tools for the diagnosis of fetuses with holoprosencephaly.

trial registrationNot applicable.

Indexed as

HoloprosencephalyUltrasonography, PrenatalFemaleForeheadGestational AgeHumansPregnancyReference ValuesSensitivity and SpecificityAnterior cerebral artery (ACA)Doppler technologyForehead-anterior cerebral artery angle (FACAA)Forehead-anterior cerebral artery distance (FACAD)HoloprosencephalyMicrovascular flow

Identifiers

PMID42251271
PMCPMC13632003

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.