1,035 posters, 26 videos, 22 audios, 18 topics, 18 sessions, 3,093 authors, 597 institutions

36th ISUOG World Congress on Ultrasound in Obstetrics and Gynecology

September 4 - 7, 2026 | London, UK

Posters by Code

Showing 1,035 results.

EP06.39

The incremental yield of CMA over karyotype in fetal ventriculomegaly: a systematic review and Meta-Analysis

I. Sapantzoglou, Z. Fasoulakis, K. Tasias, A. Rouvali, M. Chatziioannou, A. Pegkou, M. Theodora, P. Antsaklis, G. Daskalakis

Ethniko kai Kapodistriako Panepistemio Athenon, Ethniko kai Kapodistriako Panepistemio Athenon Iatrike Schole

Poster Presenter: Marianna Theodora

EP06.23

Prenatal imaging features of infant-type hemispheric glioma

S. Zhang, X. Gao

Northwest Women’s and Children’s Hospital, Beijing Anzhen Hospital, Capital Medical University

Poster Presenter: Simin Zhang

EP06.29

Can the fetal face reveal early affective states? Insights from 4D ultrasound, neurodevelopment, and artificial intelligence

M. Bachnas, W. Andonotopo

Universitas Sebelas Maret Fakultas Kedokteran

Poster Presenter: Muhammad Adrianes Bachnas

Thumbnail for Normalization of corpus callosum length to fetal head size using the CC/FOD Ratio: an individualized approach to prenatal corpus callosum assessment

EP06.80

Normalization of corpus callosum length to fetal head size using the CC/FOD Ratio: an individualized approach to prenatal corpus callosum assessment

A. Familiari, G. di Marco, B. Caproli, M. Martucci, M. Pezzella, S. Gaudino, T. Ghi

Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Universita Cattolica del Sacro Cuore Facolta di Medicina e Chirurgia

Poster Presenter: Alessandra Familiari

Thumbnail for Sectional correctness in mid-trimester fetal brain imaging: a single network, vision-driven deep learning architecture for diagnostic standardization

EP06.08

Sectional correctness in mid-trimester fetal brain imaging: a single network, vision-driven deep learning architecture for diagnostic standardization

R. Fathima S, D. Mahendran, A. A, S. V, S. Ayyasamy, A. Purayath, M. Lakshmanan, S. Seshadri, M. Sivaprakasam

Indian Institute of Technology Madras

Poster Presenter: Shyam Ayyasamy

Audio

EP06.68

Detection of fetal ventriculomegaly using artificial intelligence

L. J. Salomon, J. Lam-Rachlin, K. E. Bradley, R. Bessis, V. Thorey, C. Gardella, M. De Boisredon, J. Bault

Hopital Necker Enfants Malades, AP-HP, Université Paris Descartes, Hopital Necker-Enfants Malades Service Obstetrique-Maternite Medecine et Imagerie Foetale, Institut Necker Enfants Malades

Poster Presenter: Laurent Salomon

Thumbnail for Assessment of corpus callosum at 18-32 weeks’ gestation: three-dimensional transvaginal neurosonography using a 5-subdivision algorithm

EP06.54

Assessment of corpus callosum at 18-32 weeks’ gestation: three-dimensional transvaginal neurosonography using a 5-subdivision algorithm

Y. Chen, Y. Liao, Q. Zhang, M. Machida, K. Uenishi, J. Lin, R. Pooh, L. C. Poon

The Chinese University of Hong Kong Faculty of Medicine, The Chinese University of Hong Kong

Poster Presenter: Yunyu Chen

Thumbnail for Correlation between prenatal imaging phenotypes and prognostic risk in fetal agenesis of the corpus callosum: an 8-year retrospective study in China

EP06.55

Correlation between prenatal imaging phenotypes and prognostic risk in fetal agenesis of the corpus callosum: an 8-year retrospective study in China

L. Sun, S. He, Y. Yan

Capital Medical University Beijing Obstetrics and Gynecology Hospital, Beijing Obstetrics and Gynecology Hospital, Capital Medical University

Poster Presenter: Lijuan Sun

EP06.76

Isolated versus non-isolated fetal Blake’s pouch cyst: impact on prenatal and postnatal outcomes

N. Karmous, S. Bouguerra, A. Masmoudi, A. Azzouni, S. Ben Saidane, B. Bouguerra

Charles Nicolle Hospital, University Tunis el Manar, Hopital Charles Nicolle, Universite de Tunis El Manar Faculte de Medecine de Tunis, Hopital Regional de Bizerte, Universite de Tunis El Manar Faculte de Mede...

Poster Presenter: Narjes Karmous