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Dadoun SE, Shanahan MA, Parobek CM, Burnett BA, King A, Ketwaroo P, Donepudi RV, Adams AD. Prenatal Prognosis of Omphalocele Using Magnetic Resonance Imaging Measurement of Fetal Lung Volumes. Am J Obstet Gynecol MFM 2024; 6:101457. [PMID: 39098636 DOI: 10.1016/j.ajogmf.2024.101457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Revised: 07/22/2024] [Accepted: 07/26/2024] [Indexed: 08/06/2024]
Abstract
BACKGROUND Omphalocele is a congenital midline abdominal wall defect resulting in herniation of viscera into a membrane-covered sac. Pulmonary complications, including pulmonary hypoplasia, pulmonary hypertension, and prolonged respiratory support are a leading cause of neonatal morbidity and mortality. OBJECTIVE(S) This study aimed to assess the role of fetal MRI-derived lung volumes and omphalocele defect size as clinical tools to prognosticate postnatal pulmonary morbidity and neonatal mortality in those with a prenatally diagnosed omphalocele (PDO). STUDY DESIGN This was a retrospective cohort study of all pregnancies with PDO at our fetal center from 2007-2023. Pregnancies with aneuploidy or concurrent life-limiting fetal anomalies were excluded. Using fetal MRI, observed-to-expected total fetal lung volume (O/E TLV) ratios were determined by a previously published method. The transverse diameter of the abdominal defect was also measured. The O/E TLV ratios and abdominal defect measurements were compared with postnatal outcomes. The primary outcome was death at any time. Secondary outcomes included death in the first 30 days of life or before discharge from birth hospitalization, the requirement of respiratory support with intubation and mechanical ventilation, or development of pulmonary hypertension. RESULTS Of 101 pregnancies with a PDO, 54 pregnancies (53.5%) with prenatally diagnosed omphalocele met inclusion criteria. There was a significant increase in the rate of death when compared between the three O/E TLV classifications: 1/36 (2.8%) in the O/E≥50% group, 3/14 (21.4%) in the O/E 25%-49.9% group, and 4/4 (100%) in the O/E<25% group (P<.001). The rate of intubation increased with the severity of O/E TLV classification, with 27.8% in the O/E≥50% group, 64.3% in the O/E 25%-49.9% group, and 100% in the O/E<25% group (P=.003). The rate of pulmonary hypertension was also higher in the O/E 25%-49.9% (50.0%) and the O/E<25% (50.0%) groups compared to the O/E≥50% group (8.3%, P=.002). There was no association between the transverse diameter of the abdominal wall defect and the primary outcome of death (OR=1.08 95% CI=[0.65-1.78], P=.77). CONCLUSIONS In our cohort of patients with PDO, O/E TLV<50% is associated with death, need for intubation, prolonged intubation, and pulmonary hypertension. In contrast, omphalocele size demonstrated no prognostic value for these outcomes. The strong association between low fetal lung volume on MRI and poor neonatal outcomes highlights the utility of fetal MRI for estimating postnatal prognosis. Clinicians can utilize fetal lung volumes to direct perinatal counseling and optimize the plan of care.
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Affiliation(s)
- Simon E Dadoun
- Department of Obstetrics & Gynecology, Texas Children's Hospital and Baylor College of Medicine, Houston, TX (Dadoun).
| | - Matthew A Shanahan
- Division of Maternal-Fetal Medicine, Dept of Obstetrics, Gynecology, & Reproductive Sciences, Magee-Womens Hospital University of Pittsburgh School of Medicine, Pittsburgh, PA (Shanahan)
| | - Christian M Parobek
- Department of Obstetrics & Gynecology, Division of Maternal-Fetal Medicine, Texas Children's Hospital and Baylor College of Medicine, Houston, TX (Parobek, Burnett, Donepudi, and Adams); Department of Molecular and Human Genetics, Texas Children's Hospital and Baylor College of Medicine, Houston, TX (Parobek and Adams)
| | - Brian A Burnett
- Department of Obstetrics & Gynecology, Division of Maternal-Fetal Medicine, Texas Children's Hospital and Baylor College of Medicine, Houston, TX (Parobek, Burnett, Donepudi, and Adams)
| | - Alice King
- Department of Pediatric Surgery, Texas Children's Hospital and Baylor College of Medicine, Houston, TX (King)
| | - Pamela Ketwaroo
- Department of Radiology, Texas Children's Hospital and Baylor College of Medicine, Houston, TX (Ketwaroo)
| | - Roopali V Donepudi
- Department of Obstetrics & Gynecology, Division of Maternal-Fetal Medicine, Texas Children's Hospital and Baylor College of Medicine, Houston, TX (Parobek, Burnett, Donepudi, and Adams)
| | - April D Adams
- Department of Obstetrics & Gynecology, Division of Maternal-Fetal Medicine, Texas Children's Hospital and Baylor College of Medicine, Houston, TX (Parobek, Burnett, Donepudi, and Adams); Department of Molecular and Human Genetics, Texas Children's Hospital and Baylor College of Medicine, Houston, TX (Parobek and Adams)
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于 蕾, 肖 雪, 战 军, 韩 刘. [Research Progress in Magnetic Resonance Imaging of Fetal Ventriculomegaly]. SICHUAN DA XUE XUE BAO. YI XUE BAN = JOURNAL OF SICHUAN UNIVERSITY. MEDICAL SCIENCE EDITION 2024; 55:1133-1137. [PMID: 39507970 PMCID: PMC11536245 DOI: 10.12182/20240960107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/03/2024] [Indexed: 11/08/2024]
Abstract
Fetal ventriculomegaly is a central nervous system disorder commonly seen in prenatal imaging, and the prognosis ranges from normal health to severe dysfunction. Currently, fetal predictive markers associated with postpartum individual neurodevelopmental function are still not available, which increases the difficulty of prenatal diagnosis and clinical management. Constant advancements in magnetic resonance imaging (MRI) technology have brought better accuracy and reliability of MRI applied in the diagnosis, prognosis assessment, and etiology investigation of ventriculomegaly. MRI plays a critical role in prognostic management and prenatal consultation. Nevertheless, due to the potential safety hazards and economic and technical constraints of MRI, it is not the first choice for prenatal imaging diagnosis. Moreover, there are different opinions regarding the measurement results and grading criteria of ultrasound and MRI. At present, it is accepted that three-dimensional volume may provide reliable information for prognosis. However, accurate segmentation and measurement of brain structure remain serious challenges, and no consensus on the MRI measurement of lateral ventricle volume has been reached. In this paper, based on the latest research reports from China and around the world, we reviewed the progress in applying MRI in the prenatal diagnosis and treatment of ventriculomegaly. This review offers a theoretical foundation for further exploration of the role of lateral ventricle volume measurement in disease diagnosis and management. We suggest that researchers combine two-dimensional width with three-dimensional volume in the future to identify the optimal cutoff value for prognostic prediction of fetal ventriculomegaly.
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Affiliation(s)
- 蕾 于
- 四川大学华西第二医院 妇产科 (成都 610041)Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu 610041, China
- 出生缺陷与相关妇儿疾病教育部重点实验室(四川大学) (成都 610041)Key Laboratory of Birth Defects and Related Diseases of Women and Children of the Ministry of Education, Sichuan University, Chengdu 610041, China
| | - 雪 肖
- 四川大学华西第二医院 妇产科 (成都 610041)Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu 610041, China
- 出生缺陷与相关妇儿疾病教育部重点实验室(四川大学) (成都 610041)Key Laboratory of Birth Defects and Related Diseases of Women and Children of the Ministry of Education, Sichuan University, Chengdu 610041, China
| | - 军 战
- 四川大学华西第二医院 妇产科 (成都 610041)Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu 610041, China
- 出生缺陷与相关妇儿疾病教育部重点实验室(四川大学) (成都 610041)Key Laboratory of Birth Defects and Related Diseases of Women and Children of the Ministry of Education, Sichuan University, Chengdu 610041, China
| | - 刘杰 韩
- 四川大学华西第二医院 妇产科 (成都 610041)Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu 610041, China
- 出生缺陷与相关妇儿疾病教育部重点实验室(四川大学) (成都 610041)Key Laboratory of Birth Defects and Related Diseases of Women and Children of the Ministry of Education, Sichuan University, Chengdu 610041, China
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Zamłyński M, Zhemela O, Olejek A. Isolated Fetal Ventriculomegaly: Diagnosis and Treatment in the Prenatal Period. CHILDREN (BASEL, SWITZERLAND) 2024; 11:957. [PMID: 39201892 PMCID: PMC11352226 DOI: 10.3390/children11080957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Revised: 07/31/2024] [Accepted: 08/07/2024] [Indexed: 09/03/2024]
Abstract
Fetal ventriculomegaly (VM) is a defect of the central nervous system, typically diagnosed during the second-trimester ultrasound in fetuses with an atrial diameter (AD) of >10 mm. Non-isolated ventriculomegaly (NIVM) is heterogeneous in nature, coexisting with additional intracranial and/or extracranial malformations and genetic syndromes, resulting in an unfavorable prognosis for the further development of the child. Both the pregnancy management and counseling are dependent on the findings of combined ultrasound/MRI, genetic testing, and gestational age at diagnosis. The purpose of this review is to propose a hypothesis that diagnostic advancements allow to define the process of identification of the isolated forms of VM (IVM). Based on the evidence presented in the literature, we consider whether prenatal decompression for severe isolated VM (ISVM) is supported by the experimental trials and whether it might be implemented in clinical practice. Also, we describe the evolution of the diagnostic methods and expert opinions about the previously used prenatal decompression techniques for ISVM. In conclusion, we introduce the idea that fetal surgery centers have either reached or nearly reached the necessary level of expertise to perform such procedures. Endoscopic cystoventriculostomy (ETV) appears to be the most promising, as it is associated with minimal perinatal complications and favorable neurological outcomes in the neonatal period. Randomized trials with long-term neurodevelopmental follow-up of children who underwent prenatal decompression due to ISVM are necessary.
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Affiliation(s)
- Mateusz Zamłyński
- Department of Gynecology, Obstetrics and Oncological Gynecology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, Stefana Batorego 15, 41-902 Bytom, Poland;
| | - Olena Zhemela
- Department of Obstetrics and Gynecology, Danylo Halytsky Lviv National Medical University, 79010 Lviv, Ukraine;
| | - Anita Olejek
- Department of Gynecology, Obstetrics and Oncological Gynecology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, Stefana Batorego 15, 41-902 Bytom, Poland;
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Mejia M, Vargas Arango S, Vargas Vélez S, Pimiento Figueroa J. Prenatal Diagnosis of Hemimegalencephaly Using Radiological Methods: A Case Report. Cureus 2024; 16:e54456. [PMID: 38510871 PMCID: PMC10951679 DOI: 10.7759/cureus.54456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/19/2024] [Indexed: 03/22/2024] Open
Abstract
Hemimegalencephaly is a rare congenital anomaly characterized by an increase in the size and dysplastic involvement of one cerebral hemisphere, which can be partial or complete. It may also be associated with anomalies in the cerebellum and brainstem and, in some cases, be a part of different syndromes. The result of these abnormalities leads to intractable epilepsy and developmental delay. Diagnosis is typically made through imaging studies in the postnatal period, but it can also be done before birth. We present the case of a 23-week pregnant patient in whom a prenatal diagnosis of hemimegalencephaly was made, highlighting the need for fetal magnetic resonance imaging (MRI) to confirm the diagnosis.
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Affiliation(s)
- Marcia Mejia
- Radiology, Universidad de Antioquia, Medellin, COL
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Ciceri T, Squarcina L, Giubergia A, Bertoldo A, Brambilla P, Peruzzo D. Review on deep learning fetal brain segmentation from Magnetic Resonance images. Artif Intell Med 2023; 143:102608. [PMID: 37673558 DOI: 10.1016/j.artmed.2023.102608] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 05/31/2023] [Accepted: 06/06/2023] [Indexed: 09/08/2023]
Abstract
Brain segmentation is often the first and most critical step in quantitative analysis of the brain for many clinical applications, including fetal imaging. Different aspects challenge the segmentation of the fetal brain in magnetic resonance imaging (MRI), such as the non-standard position of the fetus owing to his/her movements during the examination, rapid brain development, and the limited availability of imaging data. In recent years, several segmentation methods have been proposed for automatically partitioning the fetal brain from MR images. These algorithms aim to define regions of interest with different shapes and intensities, encompassing the entire brain, or isolating specific structures. Deep learning techniques, particularly convolutional neural networks (CNNs), have become a state-of-the-art approach in the field because they can provide reliable segmentation results over heterogeneous datasets. Here, we review the deep learning algorithms developed in the field of fetal brain segmentation and categorize them according to their target structures. Finally, we discuss the perceived research gaps in the literature of the fetal domain, suggesting possible future research directions that could impact the management of fetal MR images.
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Affiliation(s)
- Tommaso Ciceri
- NeuroImaging Laboratory, Scientific Institute IRCCS Eugenio Medea, Bosisio Parini, Italy; Department of Information Engineering, University of Padua, Padua, Italy
| | - Letizia Squarcina
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Alice Giubergia
- NeuroImaging Laboratory, Scientific Institute IRCCS Eugenio Medea, Bosisio Parini, Italy; Department of Information Engineering, University of Padua, Padua, Italy
| | - Alessandra Bertoldo
- Department of Information Engineering, University of Padua, Padua, Italy; University of Padua, Padova Neuroscience Center, Padua, Italy
| | - Paolo Brambilla
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy; Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
| | - Denis Peruzzo
- NeuroImaging Laboratory, Scientific Institute IRCCS Eugenio Medea, Bosisio Parini, Italy
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Manganaro L, Capuani S, Gennarini M, Miceli V, Ninkova R, Balba I, Galea N, Cupertino A, Maiuro A, Ercolani G, Catalano C. Fetal MRI: what's new? A short review. Eur Radiol Exp 2023; 7:41. [PMID: 37558926 PMCID: PMC10412514 DOI: 10.1186/s41747-023-00358-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2023] [Accepted: 05/22/2023] [Indexed: 08/11/2023] Open
Abstract
Fetal magnetic resonance imaging (fetal MRI) is usually performed as a second-level examination following routine ultrasound examination, generally exploiting morphological and diffusion MRI sequences. The objective of this review is to describe the novelties and new applications of fetal MRI, focusing on three main aspects: the new sequences with their applications, the transition from 1.5-T to 3-T magnetic field, and the new applications of artificial intelligence software. This review was carried out by consulting the MEDLINE references (PubMed) and including only peer-reviewed articles written in English. Among the most important novelties in fetal MRI, we find the intravoxel incoherent motion model which allow to discriminate the diffusion from the perfusion component in fetal and placenta tissues. The transition from 1.5-T to 3-T magnetic field allowed for higher quality images, thanks to the higher signal-to-noise ratio with a trade-off of more frequent artifacts. The application of motion-correction software makes it possible to overcome movement artifacts by obtaining higher quality images and to generate three-dimensional images useful in preoperative planning.Relevance statementThis review shows the latest developments offered by fetal MRI focusing on new sequences, transition from 1.5-T to 3-T magnetic field and the emerging role of AI software that are paving the way for new diagnostic strategies.Key points• Fetal magnetic resonance imaging (MRI) is a second-line imaging after ultrasound.• Diffusion-weighted imaging and intravoxel incoherent motion sequences provide quantitative biomarkers on fetal microstructure and perfusion.• 3-T MRI improves the detection of cerebral malformations.• 3-T MRI is useful for both body and nervous system indications.• Automatic MRI motion tracking overcomes fetal movement artifacts and improve fetal imaging.
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Affiliation(s)
- Lucia Manganaro
- Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, Rome, Italy.
| | - Silvia Capuani
- National Research Council (CNR),, Institute for Complex Systems (ISC) c/o Physics Department Sapienza University of Rome, Rome, Italy
| | - Marco Gennarini
- Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, Rome, Italy
| | - Valentina Miceli
- Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, Rome, Italy
| | - Roberta Ninkova
- Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, Rome, Italy
| | | | - Nicola Galea
- Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, Rome, Italy
| | - Angelica Cupertino
- Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, Rome, Italy
| | - Alessandra Maiuro
- National Research Council (CNR),, Institute for Complex Systems (ISC) c/o Physics Department Sapienza University of Rome, Rome, Italy
| | - Giada Ercolani
- Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, Rome, Italy
| | - Carlo Catalano
- Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, Rome, Italy
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