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Moradi B, Ghorbani Z, Shirazi M, Gity M, Kazemi MA, Sharifian H, Rahimi Sharbaf F. Comparison of fetal lung maturation in fetuses with intrauterine growth restriction with control group, using lung volume, lung/liver and lung/muscle signal intensity and apparent diffusion coefficient ratios on different magnetic resonance imaging sequences. J Matern Fetal Neonatal Med 2021; 35:8936-8944. [PMID: 34847801 DOI: 10.1080/14767058.2021.2008349] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
PURPOSE To compare lung volume, lung apparent diffusion coefficient (ADC) and signal intensity ratio (SIR) on different magnetic resonance imaging (MRI) sequences between intrauterine growth restriction (IUGR) fetuses and the control group. MATERIALS AND METHODS 49 IUGR and 58 non-IUGR fetuses were imaged using 3 Tesla MRI units. Total lung volume (TLV), lung/liver SIR (LLSIR) and lung/muscle SIR (LMSIR) in T1 and T2-weighted sequences and lung/liver ADC ratio (LLADCR) and lung/muscle ADC ratio (LMADCR) were assessed. RESULTS LLSIR and LMSIR were significantly higher in the T1-weighted sequence (p-value: .03) and LLADCR and LMADCR were significantly lower on diffusion-weighted imaging (DWI) in IUGR fetuses compared to the control group (p-value: .01). There was no significant difference in SIRs in the T2-weighted sequence between the two groups. Although TLV was increased with gestational age in both groups, it was significantly lower in the IUGR group (mean: 82 ± 22.7 ml vs. 110.8 ± 18 ml, p-value: <.001). CONCLUSION The T1-weighted sequence and DWI seem to be better than the T2-weighted sequence for assessing the faint difference of lung maturity between groups. However, SIR differences were not as meaningful as TLV differences and this could be related to the complex maturation process in IUGR fetuses as the effect of higher endogenous corticosteroids.
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Affiliation(s)
- Behnaz Moradi
- Department of Radiology, Yas Complex Hospital, Tehran University of Medical Sciences, Tehran, Iran.,Department of Radiology, Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Medical Imaging Center, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
| | - Zohre Ghorbani
- Department of Radiology, Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Medical Imaging Center, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahboobeh Shirazi
- Maternal, Fetal and Neonatal Research Center, Yas Complex Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Masoumeh Gity
- Department of Radiology, Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Medical Imaging Center, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Ali Kazemi
- Department of Radiology, Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Medical Imaging Center, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran.,Department of Radiology, Amiralam Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Hashem Sharifian
- Department of Radiology, Amiralam Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Rahimi Sharbaf
- Maternal, Fetal and Neonatal Research Center, Yas Complex Hospital, Tehran University of Medical Sciences, Tehran, Iran
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Lee HR, Saytashev I, Du Le VN, Mahendroo M, Ramella-Roman J, Novikova T. Mueller matrix imaging for collagen scoring in mice model of pregnancy. Sci Rep 2021; 11:15621. [PMID: 34341418 PMCID: PMC8329204 DOI: 10.1038/s41598-021-95020-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Accepted: 07/19/2021] [Indexed: 11/16/2022] Open
Abstract
Preterm birth risk is associated with early softening of the uterine cervix in pregnancy due to the accelerated remodeling of collagen extracellular matrix. Studies of mice model of pregnancy were performed with an imaging Mueller polarimeter at different time points of pregnancy to find polarimetric parameters for collagen scoring. Mueller matrix images of the unstained sections of mice uterine cervices were taken at day 6 and day 18 of 19-days gestation period and at different spatial locations through the cervices. The logarithmic decomposition of the recorded Mueller matrices mapped the depolarization, linear retardance, and azimuth of the optical axis of cervical tissue. These images highlighted both the inner structure of cervix and the arrangement of cervical collagen fibers confirmed by the second harmonic generation microscopy. The statistical analysis and two-Gaussians fit of the distributions of linear retardance and linear depolarization in the entire images of cervical tissue (without manual selection of the specific regions of interest) quantified the randomization of collagen fibers alignment with gestation time. At day 18 the remodeling of cervical extracellular matrix of collagen was measurable at the external cervical os that is available for the direct optical observations in vivo. It supports the assumption that imaging Mueller polarimetry holds promise for the fast and accurate collagen scoring in pregnancy and the assessment of the preterm birth risk.
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Affiliation(s)
- Hee Ryung Lee
- LPICM, CNRS, Ecole polytechnique, IP Paris, 91128, Palaiseau, France
| | - Ilyas Saytashev
- Department of Biomedical Engineering, College of Engineering and Computing, Florida International University, 10555 West Flagler Street, Miami, FL, 33174, USA
| | - Vinh Nguyen Du Le
- Department of Biomedical Engineering, College of Engineering and Computing, Florida International University, 10555 West Flagler Street, Miami, FL, 33174, USA
| | - Mala Mahendroo
- Department of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas, Texas, 75390, USA
| | - Jessica Ramella-Roman
- Department of Biomedical Engineering, College of Engineering and Computing, Florida International University, 10555 West Flagler Street, Miami, FL, 33174, USA.
- Department of Ophthalmology, Herbert Wertheim College of Medicine, Florida International University, 11200 SW 8th Street, Miami, FL, 33199, USA.
| | - Tatiana Novikova
- LPICM, CNRS, Ecole polytechnique, IP Paris, 91128, Palaiseau, France.
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Fleiss B, Wong F, Brownfoot F, Shearer IK, Baud O, Walker DW, Gressens P, Tolcos M. Knowledge Gaps and Emerging Research Areas in Intrauterine Growth Restriction-Associated Brain Injury. Front Endocrinol (Lausanne) 2019; 10:188. [PMID: 30984110 PMCID: PMC6449431 DOI: 10.3389/fendo.2019.00188] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Accepted: 03/06/2019] [Indexed: 12/16/2022] Open
Abstract
Intrauterine growth restriction (IUGR) is a complex global healthcare issue. Concerted research and clinical efforts have improved our knowledge of the neurodevelopmental sequelae of IUGR which has raised the profile of this complex problem. Nevertheless, there is still a lack of therapies to prevent the substantial rates of fetal demise or the constellation of permanent neurological deficits that arise from IUGR. The purpose of this article is to highlight the clinical and translational gaps in our knowledge that hamper our collective efforts to improve the neurological sequelae of IUGR. Also, we draw attention to cutting-edge tools and techniques that can provide novel insights into this disorder, and technologies that offer the potential for better drug design and delivery. We cover topics including: how we can improve our use of crib-side monitoring options, what we still need to know about inflammation in IUGR, the necessity for more human post-mortem studies, lessons from improved integrated histology-imaging analyses regarding the cell-specific nature of magnetic resonance imaging (MRI) signals, options to improve risk stratification with genomic analysis, and treatments mediated by nanoparticle delivery which are designed to modify specific cell functions.
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Affiliation(s)
- Bobbi Fleiss
- School of Health and Biomedical Sciences, RMIT University, Bundoora, VIC, Australia
- NeuroDiderot, INSERM, Université Paris Diderot, Sorbonne Paris Cité, Paris, France
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom
- *Correspondence: Bobbi Fleiss
| | - Flora Wong
- The Ritchie Centre, Hudson Institute of Medical Research, Clayton, VIC, Australia
- Department of Paediatrics, Monash University, Clayton, VIC, Australia
- Monash Newborn, Monash Children's Hospital, Clayton, VIC, Australia
| | - Fiona Brownfoot
- Translational Obstetrics Group, Department of Obstetrics and Gynaecology, Mercy Hospital for Women, University of Melbourne, Heidelberg, VIC, Australia
| | - Isabelle K. Shearer
- School of Health and Biomedical Sciences, RMIT University, Bundoora, VIC, Australia
| | - Olivier Baud
- NeuroDiderot, INSERM, Université Paris Diderot, Sorbonne Paris Cité, Paris, France
- Division of Neonatal Intensive Care, University Hospitals of Geneva, Children's Hospital, University of Geneva, Geneva, Switzerland
| | - David W. Walker
- School of Health and Biomedical Sciences, RMIT University, Bundoora, VIC, Australia
| | - Pierre Gressens
- NeuroDiderot, INSERM, Université Paris Diderot, Sorbonne Paris Cité, Paris, France
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom
- PremUP, Paris, France
| | - Mary Tolcos
- School of Health and Biomedical Sciences, RMIT University, Bundoora, VIC, Australia
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