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1.
J Magn Reson Imaging ; 54(1): 113-121, 2021 07.
Article in English | MEDLINE | ID: mdl-33586269

ABSTRACT

BACKGROUND: Despite its many advantages, experience with fetal magnetic resonance imaging (MRI) is limited, as is knowledge of how fetal tissue relaxation times change with gestational age (GA). Quantification of fetal tissue relaxation times as a function of GA provides insight into tissue changes during fetal development and facilitates comparison of images across time and subjects. This, therefore, can allow the determination of biophysical tissue parameters that may have clinical utility. PURPOSE: To demonstrate the feasibility of quantifying previously unknown T1 and T2* relaxation times of fetal tissues in uncomplicated pregnancies as a function of GA at 1.5 T. STUDY TYPE: Pilot. POPULATION: Nine women with singleton, uncomplicated pregnancies (28-38 weeks GA). FIELD STRENGTH/SEQUENCE: All participants underwent two iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL-IQ) acquisitions at different flip angles (6° and 20°) at 1.5 T. ASSESSMENT: Segmentations of the lungs, liver, spleen, kidneys, muscle, and adipose tissue (AT) were conducted using water-only images and proton density fat fraction maps. Driven equilibrium single pulse observation of T1 (DESPOT1 ) was used to quantify the mean water T1 of the lungs, intraabdominal organs, and muscle, and the mean water and lipid T1 of AT. IDEAL T2* maps were used to quantify the T2* values of the lungs, intraabdominal organs, and muscle. STATISTICAL TESTS: F-tests were performed to assess the T1 and T2* changes of each analyzed tissue as a function of GA. RESULTS: No tissue demonstrated a significant change in T1 as a function of GA (lungs [P = 0.89]; liver [P = 0.14]; spleen [P = 0.59]; kidneys [P = 0.97]; muscle [P = 0.22]; AT: water [P = 0.36] and lipid [P = 0.14]). Only the spleen and muscle T2* showed a significant decrease as a function of GA (lungs [P = 0.67); liver [P = 0.05]; spleen [P < 0.05]; kidneys [P = 0.70]; muscle [P < 0.05]). DATA CONCLUSION: These preliminary data suggest that the T1 of the investigated tissues is relatively stable over 28-38 weeks GA, while the T2* change in spleen and muscle decreases significantly in that period. LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY STAGE: 2.


Subject(s)
Fetus , Magnetic Resonance Imaging , Adipose Tissue/diagnostic imaging , Female , Fetus/diagnostic imaging , Humans , Liver , Pregnancy , Spleen
2.
Pediatr Radiol ; 51(7): 1214-1222, 2021 Jun.
Article in English | MEDLINE | ID: mdl-33512538

ABSTRACT

BACKGROUND: Assessment of fetal adipose tissue gives information about the future metabolic health of an individual, with evidence that the development of this tissue has regional heterogeneity. OBJECTIVE: To assess differences in the proton density fat fraction (PDFF) between fetal adipose tissue compartments in the third trimester using water-fat magnetic resonance imaging (MRI). MATERIALS AND METHODS: Water-fat MRI was performed in a 1.5-T scanner. Fetal adipose tissue was segmented into cheeks, thorax, abdomen, upper arms, forearms, thighs and lower legs. PDFF and R2* values were measured in each compartment. RESULTS: Twenty-eight women with singleton pregnancies were imaged between 28 and 38 weeks of gestation. At 30 weeks' gestation (n=22), the PDFF was statistically different between the compartments (P<0.0001), with the highest PDFF in cheeks, followed by upper arms, thorax, thighs, forearms, lower legs and abdomen. There were no statistical differences in the rate of PDFF change with gestational age between the white adipose tissue compartments (P=0.97). Perirenal brown adipose tissue had a different PDFF and R2* compared to white adipose tissue, while the rate of R2* change did not significantly change with gestational age between white adipose tissue compartments (P=0.96). CONCLUSION: Fetal adipose tissue accumulates lipids at a similar rate in all white adipose tissue compartments. PDFF variances between the compartments suggest that accumulation begins at different gestational ages, starting with cheeks, followed by extremities, trunk and abdomen. Additionally, MRI was able to detect differences in the PDFF between fetal brown adipose tissue and white adipose tissue.


Subject(s)
Magnetic Resonance Imaging , Water , Adipose Tissue/diagnostic imaging , Adipose Tissue, Brown , Female , Fetus , Humans , Liver , Pregnancy , Pregnancy Trimester, Third
3.
J Matern Fetal Neonatal Med ; 33(5): 831-837, 2020 Mar.
Article in English | MEDLINE | ID: mdl-30189758

ABSTRACT

Purpose: Analysis of fetal adipose tissue volumes may provide useful insight towards assessment of overall fetal health, especially in cases with abnormal fetal growth. Here, we assess whether fetal adipose tissue volume can be reliably measured using 3D water-fat MRI, using a quantitative assessment of the lipid content of tissues.Materials and methods: Seventeen women with singleton pregnancies underwent a fetal MRI and water-only and fat-only images were acquired (modified 2-point Dixon technique). Water and fat images were used to generate a fat signal fraction (fat/(water + fat)) from which subcutaneous adipose tissue was segmented along the fetal trunk. Inter-rater (three readers) and intrarater reliability was assessed using intraclass-correlation coefficients (ICC) for 10 image sets. Relationships between adipose tissue measurements and gestational age and estimated fetal weight percentiles were examined.Results: The ICC of the inter-rater reliability was 0.936 (p < .001), and the ICC of the intrarater reliability was 0.992 (p < .001). Strong positive correlations were found between adipose tissue measurements (lipid volume, lipid volume/total fetal volume, mean fat signal fraction) and gestational age.Conclusions: 3D water-fat MRI can reliably measure volume and quantify lipid content of fetal subcutaneous adipose tissues.


Subject(s)
Adipose Tissue/diagnostic imaging , Fetus/diagnostic imaging , Magnetic Resonance Imaging , Adult , Feasibility Studies , Female , Humans , Imaging, Three-Dimensional , Pregnancy , Pregnancy Trimester, Third , Young Adult
5.
Am J Reprod Immunol ; 67(2): 101-11, 2012 Feb.
Article in English | MEDLINE | ID: mdl-21999474

ABSTRACT

PROBLEM: The regulatory mechanisms involved in VEGF-C secretion by trophoblasts during placentation are poorly understood. We investigated whether or not decidual natural killer cell conditioned medium (dNK-CM) stimulated VEGF-C secretion in the extravillous cytotrophoblast (EVT) cell line HTR8/SVneo. METHOD OF STUDY: The effects of dNK-CM and recombinant IFN-γ on VEGF-C induction by HTR8/SVneo were studied in the absence or presence of IFN-γ or its receptor blocking antibodies, p38 inhibitor (SB202190), JAK inhibitor (JAK inhibitor-1, JI-1), and on STAT1 knockdown HTR8/SVneo. VEGF-C was quantified by ELISA. FACS was used to investigate the phosphorylations of Tyr701 or Ser727 of STAT1 on stimulated HTR8/SVneo. RESULTS: dNK-CM facilitated VEGF-C secretion by HTR8/SVneo. IFN-γ and IFN-γR1 or IFN-γR2 blocking antibodies reduced both dNK-CM- and IFN-γ-induced VEGF-C secretion. Phosphorylations on Tyr701 or Ser727 of STAT1 were elevated upon stimulation. Secretion of VEGF-C was reduced by treatment with SB202190, JI-1, or STAT1 knockdown by siRNA. CONCLUSION: VEGF-C production by trophoblasts is regulated by soluble factors secreted by dNK through p38 and JAK-STAT1 pathways.


Subject(s)
Culture Media, Conditioned/pharmacology , Decidua/cytology , Killer Cells, Natural/metabolism , Trophoblasts/metabolism , Vascular Endothelial Growth Factor C/metabolism , Antibodies, Blocking , Cell Line , Female , Humans , Imidazoles/pharmacology , Interferon-gamma/immunology , Interferon-gamma/pharmacology , Janus Kinases/antagonists & inhibitors , Janus Kinases/metabolism , Placenta/metabolism , Placentation , Pregnancy , Pyridines/pharmacology , RNA Interference , RNA, Small Interfering , Receptors, Interferon/antagonists & inhibitors , Receptors, Interferon/immunology , STAT1 Transcription Factor/genetics , STAT1 Transcription Factor/metabolism , p38 Mitogen-Activated Protein Kinases/metabolism , Interferon gamma Receptor
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