Magnetic resonance imaging of abnormal placental shapes with correlation with pathologic findings.

OBJECTIVE: This study aimed to investigate the magnetic resonance imaging (MRI) characteristics of abnormal placental shapes (APS) compared with prenatal ultrasound. METHODS: From an initial cohort of 613 women with a high prevalence of placenta accreta spectrum (PAS) disorders, the MRI findings of 27 pregnant women with APS who underwent antenatal ultrasound and MRI examinations before delivery were retrospectively analyzed. The clinicopathological findings were used as the gold standard, and the sensitivity, specificity, and accuracy of antenatal MRI and a multidisciplinary team experienced in diagnosing APS were assessed. RESULTS: The 27 patients diagnosed with APS included 14 cases of succenturiate placenta, eight cases of the bilobed placenta, two cases of the circumvallate placenta, and one case each of placenta chorioangioma, placenta membranacea, and placental mesenchymal dysplasia. The sensitivity and specificity of APS classification with antenatal MRI were 40.74% (11/27) and 97.65% (498/510), respectively. Nonetheless, the multidisciplinary team achieved a higher sensitivity and specificity of up to 96.29% (26/27) and 99.22% (506/510), respectively. CONCLUSION: We have demonstrated the complementary role of MRI and ultrasound in the detection of placental shapes in the setting of MRI images, highlighting the importance of radiologists communicating with sonographers in the diagnosis of APS.

Quantitative microCT imaging of a whole equine placenta and its blood vessel network.

Placental structure is linked to function across morphological scales. In the placenta, changes to gross anatomy, such as surface area, volume, or blood vessel arrangement, are associated with suboptimal physiological outcomes. However, quantifying each of these metrics requires different laborious semi-quantitative methods. Here, we demonstrate how, with minimal sample preparation, whole-organ computed microtomography (microCT) can be used to calculate gross morphometry of the equine placenta and a range of additional metrics, including branching morphometry of placental vasculature, non-destructively from a single dataset. Our approach can be applied to quantify the gross structure of any large mammalian placenta.

Placental Transmogrification of the Lung Presenting as Cystic-Solid Mass: A Case Report.

The gradually progressive solitary cystic-solid mass of chest CT scans is highly suggestive of lung cancer. We report a case of a 29-year-old woman with a persistent cystic-solid lesion in the right upper lobe. A chest CT scan showed a 35 mm × 44 mm × 51 mm focal cystic-solid mass in the anterior segment of the right upper lobe. The size of lesion had increased over 3 years, especially for the solid component. The right upper lobe pneumonectomy was performed. Postoperative pathological examination showed placental transmogrification of the lung, which is a rare cause of pulmonary cystic lesion.

Modeling normal mouse uterine contraction and placental perfusion with non-invasive longitudinal dynamic contrast enhancement MRI.

BACKGROUND: The placenta is a transient organ critical for fetal development. Disruptions of normal placental functions can impact health throughout an individual's entire life. Although being recognized by the NIH Human Placenta Project as an important organ, the placenta remains understudied, partly because of a lack of non-invasive tools for longitudinally evaluation for key aspects of placental functionalities. OBJECTIVE: Our goal is to create a non-invasive preclinical imaging pipeline that can longitudinally probe murine placental health in vivo. We use advanced imaging processing schemes to establish functional biomarkers for non-invasive longitudinal evaluation of placental development. METHODOLOGY: We implement dynamic contrast enhancement magnetic resonance imaging (DCE-MRI) and analysis pipeline to quantify uterine contraction and placental perfusion dynamics. We use optic flow and time-frequency analysis to quantify and characterize contraction-related placental motion. Our novel imaging and analysis pipeline uses subcutaneous administration of gadolinium for steepest slope-based perfusion evaluation, enabling non-invasive longitudinal monitoring. RESULTS: We demonstrate that the placenta exhibits spatially asymmetric contractile motion that develops from E14.5 to E17.5. Additionally, we see that placental perfusion, perfusion delivery rate, and substrate delivery all increase from E14.5 to E17.5, with the High Perfusion Chamber (HPC) leading the placental changes that occur from E14.5 to E17.5. DISCUSSION: We advance the placental perfusion chamber paradigm with a novel, physiologically based threshold model for chamber localization and demonstrate spatially varying placental chambers using multiple functional metrics that assess mouse placental development and remodeling throughout gestation. CONCLUSION: Our pipeline enables the non-invasive, longitudinal assessment of multiple placenta functions from a single imaging session. Our pipeline serves as a key toolbox for advancing research in mouse models of placental disease and disorder.

Characterizing T1 in the fetal brain and placenta over gestational age at 0.55T.

PURPOSE: T1 mapping and T1-weighted contrasts have a complimentary but currently under utilized role in fetal MRI. Emerging clinical low field scanners are ideally suited for fetal T1 mapping. The advantages are lower T1 values which results in higher efficiency and reduced field inhomogeneities resulting in a decreased requirement for specialist tools. In addition the increased bore size associated with low field scanners provides improved patient comfort and accessibility. This study aims to demonstrate the feasibility of fetal brain T1 mapping at 0.55T. METHODS: An efficient slice-shuffling inversion-recovery echo-planar imaging (EPI)-based T1-mapping and postprocessing was demonstrated for the fetal brain at 0.55T in a cohort of 38 fetal MRI scans. Robustness analysis was performed and placental measurements were taken for validation. RESULTS: High-quality T1 maps allowing the investigation of subregions in the brain were obtained and significant correlation with gestational age was demonstrated for fetal brain T1 maps ( p < 0 . 05 $$ p<0.05 $$ ) as well as regions-of-interest in the deep gray matter and white matter. CONCLUSIONS: Efficient, quantitative T1 mapping in the fetal brain was demonstrated on a clinical 0.55T MRI scanner, providing foundations for both future research and clinical applications including low-field specific T1-weighted acquisitions.

Placental biophysical model for prediction of early onset fetal growth restriction in first and second trimester of pregnancy: A prospective cohort study.

INTRODUCTION: To assess the placental biometry, placental biomarkers and uterine artery Doppler in each trimester of pregnancy for prediction of early-onset fetal growth restriction (EO FGR). METHODS: In this prospective cohort study placental biometry; biomarkers PAPP-A, sFLT-1, and PlGF along with the uterine artery blood flow evaluation was done serially at 11-14, 20-24 and 28-32 weeks of gestation. The above parameters were compared between women with early onset FGR and controls. RESULTS: Out of 1008 fully followed cases, the small for gestational age fetuses were 227/1008 (22.5 %), and EO FGR were 84/1008(8.3 %).The placental length, volume, and PlGF levels were significantly lower, whereas the uterine artery PI(Ut PI) was significantly higher at all time points among cases. The sFLT-1 level showed a significant increase among cases, whereas it decreased among controls from the first to the second trimester. The detection rate using PV/UtA PI was 60 % in the first trimester and 66.7 % in the second trimester at 30 % FPR. CONCLUSION: The PV/Ut PI in first and the second trimester was a good marker for the prediction of pregnancies at increased risk of developing EO FGR.

MRI assessed placental volume and adverse pregnancy outcomes: Secondary analysis of prospective cohort study.

INTRODUCTION: Our goal was to evaluate the potential utility of magnetic resonance imaging (MRI) placental volume as an assessment of placental insufficiency. METHODS: Secondary analysis of a prospective cohort undergoing serial placental MRIs at two academic tertiary care centers. The population included 316 participants undergoing MRI up to three times throughout gestation. MRI was used to calculate placental volume in milliliters (ml). Placental-mediated adverse pregnancy outcome (cAPO) included preeclampsia with severe features, abnormal antenatal surveillance, and perinatal mortality. Serial measurements were grouped as time point 1 (TP1) <22 weeks, TP2 22 0/7-29 6/7 weeks, and TP3 ≥30 weeks. Mixed effects models compared change in placental volume across gestation between cAPO groups. Association between cAPO and placental volume was determined using logistic regression at each TP with discrimination evaluated using area under receiver operator curve (AUC). Placental volume was then added to known clinical predictive variables and evaluated with test characteristics and calibration. RESULTS: 59 (18.7 %) of 316 participants developed cAPO. Placental volume growth across gestation was slower in the cAPO group (p < 0.001). Placental volume was lower in the cAPO group at all time points, and alone was moderately predictive of cAPO at TP3 (AUC 0.756). Adding placental volume to clinical variables had moderate discrimination at all time points, with strongest test characteristics at TP3 (AUC 0.792) with sensitivity of 77.5 % and specificity of 75.3 % at a predicted probability cutoff of 15 %. DISCUSSION: MRI placental volume warrants further study for assessment of placental insufficiency, particularly later in gestation.

Effects of different PCOS phenotypes on placental three-dimensional power Doppler indices and placental volume during the first trimester.

INTRODUCTION: The aim of the present study was to evaluate the effects of different polycystic ovary syndrome (PCOS) phenotypes using first-trimester placental three-dimensional power Doppler indices and placental volume. METHODS: In this prospective case-control study, 170 pregnant women who met the inclusion criteria were divided into five groups according to PCOS phenotype: non-PCOS control (n = 34), PCOS phenotype A (n = 34), PCOS phenotype B (n = 34), PCOS phenotype C (n = 34), and PCOS phenotype D (n = 34). The primary outcomes determined in the present study were the differences in placental volume and placental flow index (FI), vascularization flow index (VFI), vascularization index (VI), and uterine artery pulsatility index (PI) betweenthe PCOS groups and control group. RESULTS: The mean placental volume and VI were significantly decreased in the phenotype A, B, and C groups compared to the control group and PCOS phenotype D group. The mean FI and VFI were significantly decreased in the phenotype A and B groups compared to the control group and PCOS phenotype C and D groups. The mean testosterone, dehydroepiandrostenedione, sex-hormone binding globulin, free androgen index, and insulin resistance levels were significantly increased in the phenotype A, B, and C groups compared to the control group and PCOS phenotype D group. DISCUSION: The results indicated that placental volume and placental vascular Doppler indices in the first trimester were more adversely affected in the PCOS A and B phenotypes than other PCOS phenotypes.

Longitudinal associations between urinary biomarkers of phthalates and replacements with novel in vivo measures of placental health.

STUDY QUESTION: What is the longitudinal association between gestational phthalate exposure and in vivo placental outcomes? SUMMARY ANSWER: Phthalates were adversely associated with placental microvasculature, stiffness, and presence of calcification, with different metabolites associated with different outcomes. WHAT IS KNOWN ALREADY: Phthalate exposure is ubiquitous and implicated as a contributor to adverse pregnancy outcomes, possibly through impacts on the placenta. STUDY DESIGN, SIZE, DURATION: A total of 303 women were recruited in early pregnancy and prospectively followed for up to eight visits across gestation in the Human Placenta and Phthalates study. PARTICIPANTS/MATERIALS, SETTING, METHODS: At each visit, women provided urine samples and underwent placental ultrasounds. Urine was analyzed for 18 metabolites of phthalates and replacements. We took the geometric mean of repeated measurements to reflect pregnancy-averaged phthalate or replacement exposure for each participant (n = 303). Placental microvasculature, stiffness, and microcalcification presence were quantified from ultrasounds at each visit. Higher scores reflected worse placental function for all measures. Generalized linear mixed models were created to estimate the association between pregnancy-averaged exposure biomarker concentrations and repeated outcome measurements for microvasculature and stiffness. Gestational age at the time of calcification detection was modeled using Cox proportional hazards models. MAIN RESULTS AND THE ROLE OF CHANCE: Monocarboxyisononyl phthalate and summed di(2-ethylhexyl) phthalate metabolites were associated with impaired microvasculature development, such that an interquartile range increase in concentration was associated with 0.11 standard deviation increase in the microvasculature ratio, indicating poorer vascularization (95% CI: 0.00, 0.22); 0.11 [95% CI: -0.01, 0.22], respectively. Monoethyl phthalate was associated with increased placental stiffness (0.09 [95% CI: -0.01, 0.19]) while summed di-iso-butyl phthalate metabolites and monobenzyl phthalate were associated with increased hazard of calcification detection (hazard ratios: 1.18 [95% CI: 0.98, 1.42]; 1.13 [95% CI: 0.96, 1.34]). LIMITATIONS, REASONS FOR CAUTION: Outcomes used in this study are novel and further investigation is needed to provide clinical context and relevance. WIDER IMPLICATIONS OF THE FINDINGS: We found evidence of associations between select phthalate biomarkers and various aspects of in vivo placental health, although we did not observe consistency across placental outcomes. These findings could illustrate heterogeneous effects of phthalate exposure on placental function. STUDY FUNDING/COMPETING INTEREST(S): This research was supported in part by the Intramural Research Program of the NIH, National Institute of Environmental Health Sciences (ZIA ES103344), and NIEHS T32ES007018. The authors declare that they have no competing interests to disclose. The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention. Use of trade names is for identification only and does not imply endorsement by the CDC, the Public Health Service, or the US Department of Health and Human Services. TRIAL REGISTRATION NUMBER: N/A.

Assessment of an AI-based tool for population-wide collection of placental morphological data.

OBJECTIVES: Automated placental assessment could allow accurate and timely morphological/pathological measurements at scale. We undertook a pilot study using an artificial intelligence-based assessment system (AI-PLAX) to ascertain the potential of a state-wide rollout as part of Generation Victoria, assessing the impact of time post-delivery, user, and technology used for image capture, on a range of derived placental data. STUDY DESIGN: Ten placentas were imaged by three different users and imaging technologies (iPad, iPhone, Samsung) at (0 h), 24 h, and 48 h post-delivery. Using AI-PLAX, disc size (short and long length, perimeter, area), shape (normal, abnormal), cord insertion type (central, eccentric), cord coiling, abruption (retroplacental hematoma), and meconium staining were determined. RESULTS: When analysing the maternal surface of the placenta, time in cold storage post-delivery had modest effects on placental dimensions, with decreases in the short length (24-48 h: -3.7 %), disc area (0-24 h: 4.7 % and 0-48 h: -7.4 %), and perimeter (0-48 h: -3.8 %) observed. There was marginal impact on placental dimensions when the placenta was imaged by different users, including long length (+1.9 %), disc area (+2.9 %), and perimeter (+2.0 %). Measures of placental size were not impacted by the type of technology used to capture the images. When analysing the fetal surface of the placenta, more variance in placental size measures were observed between users. Abruption detection was not affected by any parameter. Time between delivery and imaging impacted apparent meconium staining - likely reflecting changes in fetal surface colour over time. Meconium staining was not affected by technology or user. CONCLUSIONS: This study supports the feasibility of the collection of placenta images for later morphological analysis by AI-PLAX, with measures obtained minimally influenced by time in cold storage, user imaging the placenta, or technology to capture the images.

MR Imaging of Placenta Accreta Spectrum: A Comprehensive Literature Review of the Most Recent Advancements.

This article delves into the latest MR imaging developments dedicated to diagnosing placenta accreta spectrum (PAS). PAS, characterized by abnormal placental adherence to the uterine wall, is of paramount concern owing to its association with maternal morbidity and mortality, particularly in high-risk pregnancies featuring placenta previa and prior cesarean sections. Although ultrasound (US) remains the primary screening modality, limitations have prompted heightened emphasis on MR imaging. This review underscores the utility of quantitative MR imaging, especially where US findings prove inconclusive or when maternal body habitus poses challenges, acknowledging, however, that interpreting placenta MR imaging demands specialized training for radiologists.

Predictive Value and Limitations of the Placenta Accreta Index: A Systematic Review.

Our systematic review highlights that multiparametric PAI score assessment is a consistent tool with high sensitivity and specificity for prenatal prediction for placenta accreta spectrum (PAS) in high-risk population with anterior placenta previa or low-lying placenta and prior cesarean deliveries. A systematic search was conducted on November 1, 2022, of MEDLINE via PubMed, Scopus, Web of Science Core Collection, Cochrane Library, and Google Scholar to identify relevant studies (PROSPERO ID # CRD42022368211). A total of 11 articles met our inclusion criteria, representing the data of a total of 1,044 cases. Women with PAS had an increased mean PAI total score, compared to those without PAS. Limitations of the PAI are most studies were conducted in developing countries in high-risk population which limit the global generalizability of findings. Heterogeneity of reported data did not allow to perform meta-analysis.

Is the rabbit a natural model of fetal growth restriction? Morphological and functional characterization study using diffusion-weighted MRI and stereology.

INTRODUCTION: Rabbits are routinely used as a natural model of fetal growth restriction (FGR); however, no studies have confirmed that rabbits have FGR. This study aimed to characterize the fetoplacental unit (FPU) in healthy pregnant rabbits using diffusion-weighted MRI and stereology. A secondary objective of the study was to describe the associations among findings from diffusion-weighted MRI (DW-MRI), fetal weight measurement and histological analysis of the placenta. METHODS: Pregnant rabbits underwent DW-MRI under general anesthesia on embryonic day 28 of pregnancy. MR imaging was performed at 3.0 T. The apparent diffusion coefficient (ADC) values were calculated for the fetal brain, liver, and placenta. The placenta was analyzed by stereology (volume density of trophoblasts, the maternal blood space and fetal vessels). Each fetus and placenta were weighed. Two groups of fetuses were defined according to the position in the uterine horn (Cervix group versus Ovary group). RESULTS: We analyzed 20 FPUs from 5 pregnant rabbits. Fetuses and placentas were significantly lighter in the Cervix group than in the Ovary group (34.7 ± 3.7 g vs. 40.2 ± 5.4 g; p = 0.02). Volume density analysis revealed that the percentage of fetal vessels, the maternal blood space and trophoblasts was not significantly affected by the position of the fetus in the uterine horn. There was no difference in ADC values according to the position of the fetus in the uterine horn, and there was no correlation between ADC values and fetal weight. DISCUSSION: The findings of a multimodal evaluation of the placenta in a rabbit model of FGR suggested is not a natural model of fetal growth restriction.

Patient-specific placental vessel segmentation with limited data.

A major obstacle in applying machine learning for medical fields is the disparity between the data distribution of the training images and the data encountered in clinics. This phenomenon can be explained by inconsistent acquisition techniques and large variations across the patient spectrum. The result is poor translation of the trained models to the clinic, which limits their implementation in medical practice. Patient-specific trained networks could provide a potential solution. Although patient-specific approaches are usually infeasible because of the expenses associated with on-the-fly labeling, the use of generative adversarial networks enables this approach. This study proposes a patient-specific approach based on generative adversarial networks. In the presented training pipeline, the user trains a patient-specific segmentation network with extremely limited data which is supplemented with artificial samples generated by generative adversarial models. This approach is demonstrated in endoscopic video data captured during fetoscopic laser coagulation, a procedure used for treating twin-to-twin transfusion syndrome by ablating the placental blood vessels. Compared to a standard deep learning segmentation approach, the pipeline was able to achieve an intersection over union score of 0.60 using only 20 annotated images compared to 100 images using a standard approach. Furthermore, training with 20 annotated images without the use of the pipeline achieves an intersection over union score of 0.30, which, therefore, corresponds to a 100% increase in performance when incorporating the pipeline. A pipeline using GANs was used to generate artificial data which supplements the real data, this allows patient-specific training of a segmentation network. We show that artificial images generated using GANs significantly improve performance in vessel segmentation and that training patient-specific models can be a viable solution to bring automated vessel segmentation to the clinic.