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Avena-Zampieri CL, Dassios T, Milan A, Santos R, Kyriakopoulou V, Cromb D, Hall M, Egloff A, McGovern M, Uus A, Hutter J, Payette K, Rutherford M, Greenough A, Story L. Correlation of fetal lung area with MRI derived pulmonary volume. Early Hum Dev 2024; 194:106047. [PMID: 38851106 DOI: 10.1016/j.earlhumdev.2024.106047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 05/15/2024] [Accepted: 05/16/2024] [Indexed: 06/10/2024]
Abstract
BACKGROUND Neonatal chest-Xray (CXR)s are commonly performed as a first line investigation for the evaluation of respiratory complications. Although lung area derived from CXRs correlates well with functional assessments of the neonatal lung, it is not currently utilised in clinical practice, partly due to the lack of reference ranges for CXR-derived lung area in healthy neonates. Advanced MR techniques now enable direct evaluation of both fetal pulmonary volume and area. This study therefore aims to generate reference ranges for pulmonary volume and area in uncomplicated pregnancies, evaluate the correlation between prenatal pulmonary volume and area, as well as to assess the agreement between antenatal MRI-derived and neonatal CXR-derived pulmonary area in a cohort of fetuses that delivered shortly after the antenatal MRI investigation. METHODS Fetal MRI datasets were retrospectively analysed from uncomplicated term pregnancies and a preterm cohort that delivered within 72 h of the fetal MRI. All examinations included T2 weighted single-shot turbo spin echo images in multiple planes. In-house pipelines were applied to correct for fetal motion using deformable slice-to-volume reconstruction. An MRI-derived lung area was manually segmented from the average intensity projection (AIP) images generated. Postnatal lung area in the preterm cohort was measured from neonatal CXRs within 24 h of delivery. Pearson correlation coefficient was used to correlate MRI-derived lung volume and area. A two-way absolute agreement was performed between the MRI-derived AIP lung area and CXR-derived lung area. RESULTS Datasets from 180 controls and 10 preterm fetuses were suitable for analysis. Mean gestational age at MRI was 28.6 ± 4.2 weeks for controls and 28.7 ± 2.7 weeks for preterm neonates. MRI-derived lung area correlated strongly with lung volumes (p < 0.001). MRI-derived lung area had good agreement with the neonatal CXR-derived lung area in the preterm cohort [both lungs = 0.982]. CONCLUSION MRI-derived pulmonary area correlates well with absolute pulmonary volume and there is good correlation between MRI-derived pulmonary area and postnatal CXR-derived lung area when delivery occurs within a few days of the MRI examination. This may indicate that fetal MRI derived lung area may prove to be useful reference ranges for pulmonary areas derived from CXRs obtained in the perinatal period.
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Affiliation(s)
- Carla L Avena-Zampieri
- Department of Women and Children's Health King's College London, United Kingdom; Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom.
| | - Theodore Dassios
- Department of Women and Children's Health King's College London, United Kingdom
| | - Anna Milan
- Neonatal Unit, Guy's and St Thomas' NHS Foundation Trust, United Kingdom
| | - Rui Santos
- Children's Radiology Department, Evelina London Children's Hospital, Guy's and St Thomas NHS Foundation Trust, United Kingdom
| | - Vanessa Kyriakopoulou
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom; Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
| | - Daniel Cromb
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
| | - Megan Hall
- Department of Women and Children's Health King's College London, United Kingdom; Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
| | - Alexia Egloff
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom; Fetal Medicine Unit, Guy's and St Thomas' NHS Foundation Trust, United Kingdom
| | - Matthew McGovern
- Neonatal Unit, Guy's and St Thomas' NHS Foundation Trust, United Kingdom
| | - Alena Uus
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom; Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
| | - Jana Hutter
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
| | - Kelly Payette
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom; Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
| | - Mary Rutherford
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
| | - Anne Greenough
- Department of Women and Children's Health King's College London, United Kingdom
| | - Lisa Story
- Department of Women and Children's Health King's College London, United Kingdom; Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom; Fetal Medicine Unit, Guy's and St Thomas' NHS Foundation Trust, United Kingdom
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2
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Uus AU, Hall M, Grigorescu I, Avena Zampieri C, Egloff Collado A, Payette K, Matthew J, Kyriakopoulou V, Hajnal JV, Hutter J, Rutherford MA, Deprez M, Story L. Automated body organ segmentation, volumetry and population-averaged atlas for 3D motion-corrected T2-weighted fetal body MRI. Sci Rep 2024; 14:6637. [PMID: 38503833 PMCID: PMC10950851 DOI: 10.1038/s41598-024-57087-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 03/14/2024] [Indexed: 03/21/2024] Open
Abstract
Structural fetal body MRI provides true 3D information required for volumetry of fetal organs. However, current clinical and research practice primarily relies on manual slice-wise segmentation of raw T2-weighted stacks, which is time consuming, subject to inter- and intra-observer bias and affected by motion-corruption. Furthermore, there are no existing standard guidelines defining a universal approach to parcellation of fetal organs. This work produces the first parcellation protocol of the fetal body organs for motion-corrected 3D fetal body MRI. It includes 10 organ ROIs relevant to fetal quantitative volumetry studies. We also introduce the first population-averaged T2w MRI atlas of the fetal body. The protocol was used as a basis for training of a neural network for automated organ segmentation. It showed robust performance for different gestational ages. This solution minimises the need for manual editing and significantly reduces time. The general feasibility of the proposed pipeline was also assessed by analysis of organ growth charts created from automated parcellations of 91 normal control 3T MRI datasets that showed expected increase in volumetry during 22-38 weeks gestational age range.
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Affiliation(s)
- Alena U Uus
- School of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.
| | - Megan Hall
- Centre for the Developing Brain, King's College London, London, UK
- Department of Women and Children's Health, King's College London, London, UK
- Fetal Medicine Unit, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Irina Grigorescu
- School of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
| | - Carla Avena Zampieri
- Centre for the Developing Brain, King's College London, London, UK
- Department of Women and Children's Health, King's College London, London, UK
| | | | - Kelly Payette
- School of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
- Centre for the Developing Brain, King's College London, London, UK
| | - Jacqueline Matthew
- School of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
- Centre for the Developing Brain, King's College London, London, UK
| | | | - Joseph V Hajnal
- School of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
- Centre for the Developing Brain, King's College London, London, UK
| | - Jana Hutter
- School of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
- Centre for the Developing Brain, King's College London, London, UK
- Smart Imaging Lab, Radiological Institute, University Hospital Erlangen, Erlangen, Germany
| | | | - Maria Deprez
- School of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
| | - Lisa Story
- Centre for the Developing Brain, King's College London, London, UK
- Department of Women and Children's Health, King's College London, London, UK
- Fetal Medicine Unit, Guy's and St Thomas' NHS Foundation Trust, London, UK
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Hall M, Hutter J, Uus A, du Crest E, Egloff A, Suff N, Al Adnani M, Seed PT, Gibbons D, Deprez M, Tribe RM, Shennan A, Rutherford M, Story L. Adrenal volumes in fetuses delivering prior to 32 weeks' gestation: An MRI pilot study. Acta Obstet Gynecol Scand 2024; 103:512-521. [PMID: 38009386 PMCID: PMC10867361 DOI: 10.1111/aogs.14733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 11/07/2023] [Accepted: 11/09/2023] [Indexed: 11/28/2023]
Abstract
INTRODUCTION Spontaneous preterm birth prior to 32 weeks' gestation accounts for 1% of all deliveries and is associated with high rates of morbidity and mortality. A total of 70% are associated with chorioamnionitis which increases the incidence of morbidity, but for which there is no noninvasive antenatal test. Fetal adrenal glands produce cortisol and dehydroepiandosterone-sulphate which upregulate prior to spontaneous preterm birth. Ultrasound suggests that adrenal volumes may increase prior to preterm birth, but studies are limited. This study aimed to: (i) demonstrate reproducibility of magnetic resonance imaging (MRI) derived adrenal volumetry; (ii) derive normal ranges of total adrenal volumes, and adrenal: body volume for normal; (iii) compare with those who have spontaneous very preterm birth; and (iv) correlate with histopathological chorioamnionitis. MATERIAL AND METHODS Patients at high risk of preterm birth prior to 32 weeks were prospectively recruited, and included if they did deliver prior to 32 weeks; a control group who delivered an uncomplicated pregnancy at term was also recruited. T2 weighted images of the entire uterus were obtained, and a deformable slice-to-volume method was used to reconstruct the fetal abdomen. Adrenal and body volumes were obtained via manual segmentation, and adrenal: body volume ratios generated. Normal ranges were created using control data. Differences between groups were investigated accounting for the effect of gestation by use of regression analysis. Placental histopathology was reviewed for pregnancies delivering preterm. RESULTS A total of 56 controls and 26 cases were included in the analysis. Volumetry was consistent between observers. Adrenal volumes were not higher in the case group (p = 0.2); adrenal: body volume ratios were higher (p = 0.011), persisting in the presence of chorioamnionitis (p = 0.017). A cluster of three pairs of adrenal glands below the fifth centile were noted among the cases all of whom had a protracted period at risk of preterm birth prior to MRI. CONCLUSIONS Adrenal: body volume ratios are significantly larger in fetuses who go on to deliver preterm than those delivering at term. Adrenal volumes were not significantly larger, we hypothesize that this could be due to an adrenal atrophy in fetuses with fulminating chorioamnionitis. A straightforward relationship of adrenal size being increased prior to preterm birth should not be assumed.
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Affiliation(s)
- Megan Hall
- Center for the Developing BrainSt Thomas' Hospital, King's College LondonLondonUK
- Department of Women and Children's HealthSt Thomas' Hospital, King's College LondonLondonUK
| | - Jana Hutter
- Center for the Developing BrainSt Thomas' Hospital, King's College LondonLondonUK
| | - Alena Uus
- Center for the Developing BrainSt Thomas' Hospital, King's College LondonLondonUK
| | - Elise du Crest
- Department of Women and Children's HealthSt Thomas' Hospital, King's College LondonLondonUK
| | - Alexia Egloff
- Center for the Developing BrainSt Thomas' Hospital, King's College LondonLondonUK
| | - Natalie Suff
- Department of Women and Children's HealthSt Thomas' Hospital, King's College LondonLondonUK
| | - Mudher Al Adnani
- Department of Cellular PathologySt Thomas' Hospital, Guy's and St Thomas' NHS Foundation TrustLondonUK
| | - Paul T. Seed
- Department of Women and Children's HealthSt Thomas' Hospital, King's College LondonLondonUK
| | - Deena Gibbons
- Department of ImmunobiologyKing's College LondonLondonUK
| | - Maria Deprez
- Center for the Developing BrainSt Thomas' Hospital, King's College LondonLondonUK
| | - Rachel M. Tribe
- Department of Women and Children's HealthSt Thomas' Hospital, King's College LondonLondonUK
| | - Andrew Shennan
- Department of Women and Children's HealthSt Thomas' Hospital, King's College LondonLondonUK
| | - Mary Rutherford
- Center for the Developing BrainSt Thomas' Hospital, King's College LondonLondonUK
| | - Lisa Story
- Center for the Developing BrainSt Thomas' Hospital, King's College LondonLondonUK
- Department of Women and Children's HealthSt Thomas' Hospital, King's College LondonLondonUK
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Avena-Zampieri CL, Hutter J, Uus A, Deprez M, Payette K, Hall M, Bafadhel M, Russell REK, Milan A, Rutherford M, Shennan A, Greenough A, Story L. Functional MRI assessment of the lungs in fetuses that deliver very Preterm: An MRI pilot study. Eur J Obstet Gynecol Reprod Biol 2024; 293:106-114. [PMID: 38141484 PMCID: PMC10929943 DOI: 10.1016/j.ejogrb.2023.12.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 12/11/2023] [Indexed: 12/25/2023]
Abstract
OBJECTIVES To compare mean pulmonary T2* values and pulmonary volumes in fetuses that subsequently spontaneously delivered before 32 weeks with a control cohort with comparable gestational ages and to assess the value of mean pulmonary T2* as a predictor of preterm birth < 32 weeks' gestation. METHODS MRI datasets scanned at similar gestational ages were selected from fetuses who spontaneously delivered < 32 weeks of gestation and a control group who subsequently delivered at term with no complications. All women underwent a fetal MRI on a 3 T MRI imaging system. Sequences included T2-weighted single shot fast spin echo and T2* sequences, using gradient echo single shot echo planar sequencing of the fetal thorax. Motion correction was performed using slice-to-volume reconstruction and T2* maps generated using in-house pipelines. Lungs were manually segmented and volumes and mean T2* values calculated for both lungs combined and left and right lung separately. Linear regression was used to compare values between the preterm and control cohorts accounting for the effects of gestation. Receiver operating curves were generated for mean T2* values and pulmonary volume as predictors of preterm birth < 32 weeks' gestation. RESULTS Datasets from twenty-eight preterm and 74 control fetuses were suitable for analysis. MRI images were taken at similar fetal gestational ages (preterm cohort (mean ± SD) 24.9 ± 3.3 and control cohort (mean ± SD) 26.5 ± 3.0). Mean gestational age at delivery was 26.4 ± 3.3 for the preterm group and 39.9 ± 1.3 for the control group. Mean pulmonary T2* values remained constant with increasing gestational age while pulmonary volumes increased. Both T2* and pulmonary volumes were lower in the preterm group than in the control group for all parameters (both combined, left, and right lung (p < 0.001 in all cases). Adjusted for gestational age, pulmonary volumes and mean T2* values were good predictors of premature delivery in fetuses < 32 weeks (area under the curve of 0.828 and 0.754 respectively). CONCLUSION These findings indicate that mean pulmonary T2* values and volumes were lower in fetuses that subsequently delivered very preterm. This may suggest potentially altered oxygenation and indicate that pulmonary morbidity associated with prematurity has an antenatal antecedent. Future work should explore these results correlating antenatal findings with long term pulmonary outcomes.
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Affiliation(s)
- Carla L Avena-Zampieri
- Department of Women and Children's Health King's College London, United Kingdom; Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom.
| | - Jana Hutter
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
| | - Alena Uus
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom; Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
| | - Maria Deprez
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom; Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
| | - Kelly Payette
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom; Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
| | - Megan Hall
- Department of Women and Children's Health King's College London, United Kingdom; Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom; Fetal Medicine Unit, Guy's and St Thomas' NHS Foundation Trust, United Kingdom
| | - Mona Bafadhel
- King's Centre for Lung Health, School of Immunology and Microbial Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
| | - Richard E K Russell
- King's Centre for Lung Health, School of Immunology and Microbial Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
| | - Anna Milan
- Neonatal Unit, Guy's and St Thomas' NHS Foundation Trust, United Kingdom
| | - Mary Rutherford
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
| | - Andrew Shennan
- Department of Women and Children's Health King's College London, United Kingdom
| | - Anne Greenough
- Department of Women and Children's Health King's College London, United Kingdom
| | - Lisa Story
- Department of Women and Children's Health King's College London, United Kingdom; Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom; Fetal Medicine Unit, Guy's and St Thomas' NHS Foundation Trust, United Kingdom
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5
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Aviles Verdera J, Story L, Hall M, Finck T, Egloff A, Seed PT, Malik SJ, Rutherford MA, Hajnal JV, Tomi-Tricot R, Hutter J. Reliability and Feasibility of Low-Field-Strength Fetal MRI at 0.55 T during Pregnancy. Radiology 2023; 309:e223050. [PMID: 37847139 PMCID: PMC10623193 DOI: 10.1148/radiol.223050] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 08/20/2023] [Accepted: 09/06/2023] [Indexed: 10/18/2023]
Abstract
Background The benefits of using low-field-strength fetal MRI to evaluate antenatal development include reduced image artifacts, increased comfort, larger bore size, and potentially reduced costs, but studies about fetal low-field-strength MRI are lacking. Purpose To evaluate the reliability and feasibility of low-field-strength fetal MRI to assess anatomic and functional measures in pregnant participants using a commercially available 0.55-T MRI scanner and a comprehensive 20-minute protocol. Materials and Methods This prospective study was performed at a large teaching hospital (St Thomas' Hospital; London, England) from May to November 2022 in healthy pregnant participants and participants with pregnancy-related abnormalities using a commercially available 0.55-T MRI scanner. A 20-minute protocol was acquired including anatomic T2-weighted fast-spin-echo, quantitative T2*, and diffusion sequences. Key measures like biparietal diameter, transcerebellar diameter, lung volume, and cervical length were evaluated by two radiologists and an MRI-experienced obstetrician. Functional organ-specific mean values were given. Comparison was performed with existing published values and higher-field MRI using linear regression, interobserver correlation, and Bland-Altman plots. Results A total of 79 fetal MRI examinations were performed (mean gestational age, 29.4 weeks ± 5.5 [SD] [age range, 17.6-39.3 weeks]; maternal age, 34.4 years ± 5.3 [age range, 18.4-45.5 years]) in 47 healthy pregnant participants (control participants) and in 32 participants with pregnancy-related abnormalities. The key anatomic two-dimensional measures for the 47 healthy participants agreed with large cross-sectional 1.5-T and 3-T control studies. The interobserver correlations for the biparietal diameter in the first 40 consecutive scans were 0.96 (95% CI: 0.7, 0.99; P = .002) for abnormalities and 0.93 (95% CI: 0.86, 0.97; P < .001) for control participants. Functional features, including placental and brain T2* and placental apparent diffusion coefficient values, strongly correlated with gestational age (mean placental T2* in the control participants: 5.2 msec of decay per week; R2 = 0.66; mean T2* at 30 weeks, 176.6 msec; P < .001). Conclusion The 20-minute low-field-strength fetal MRI examination protocol was capable of producing reliable structural and functional measures of the fetus and placenta in pregnancy. Clinical trial registration no. REC 21/LO/0742 © RSNA, 2023 Supplemental material is available for this article. See also the editorial by Gowland in this issue.
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Affiliation(s)
- Jordina Aviles Verdera
- From the Centre for the Developing Brain, School of Biomedical
Engineering & Imaging Sciences, King's College London, 1st Floor
South Wing, St Thomas’ Hospital, Westminster Bridge Road SE1 7EH London,
United Kingdom (J.A.V., L.S., M.H., P.T.S., S.J.M., M.A.R., J.V.H, J.H.); Centre
for Medical Biomedical Engineering Department, School of Biomedical Engineering
and Imaging Sciences, King's College London, London, UK (J.A.V., L.S.,
A.E., S.J.M., M.A.R., J.V.H., J.H.); Women's Health, GSTT, London, UK
(L.S., M.H., T.F., P.T.S.); Technical University Munich, Munich, Germany (T.F.);
MR Research Collaborations, Siemens Healthcare Limited, Camberley, UK (R.T.T.);
and Radiological Institute, University Hospital Erlangen, Erlangen, Germany
(J.H.)
| | - Lisa Story
- From the Centre for the Developing Brain, School of Biomedical
Engineering & Imaging Sciences, King's College London, 1st Floor
South Wing, St Thomas’ Hospital, Westminster Bridge Road SE1 7EH London,
United Kingdom (J.A.V., L.S., M.H., P.T.S., S.J.M., M.A.R., J.V.H, J.H.); Centre
for Medical Biomedical Engineering Department, School of Biomedical Engineering
and Imaging Sciences, King's College London, London, UK (J.A.V., L.S.,
A.E., S.J.M., M.A.R., J.V.H., J.H.); Women's Health, GSTT, London, UK
(L.S., M.H., T.F., P.T.S.); Technical University Munich, Munich, Germany (T.F.);
MR Research Collaborations, Siemens Healthcare Limited, Camberley, UK (R.T.T.);
and Radiological Institute, University Hospital Erlangen, Erlangen, Germany
(J.H.)
| | - Megan Hall
- From the Centre for the Developing Brain, School of Biomedical
Engineering & Imaging Sciences, King's College London, 1st Floor
South Wing, St Thomas’ Hospital, Westminster Bridge Road SE1 7EH London,
United Kingdom (J.A.V., L.S., M.H., P.T.S., S.J.M., M.A.R., J.V.H, J.H.); Centre
for Medical Biomedical Engineering Department, School of Biomedical Engineering
and Imaging Sciences, King's College London, London, UK (J.A.V., L.S.,
A.E., S.J.M., M.A.R., J.V.H., J.H.); Women's Health, GSTT, London, UK
(L.S., M.H., T.F., P.T.S.); Technical University Munich, Munich, Germany (T.F.);
MR Research Collaborations, Siemens Healthcare Limited, Camberley, UK (R.T.T.);
and Radiological Institute, University Hospital Erlangen, Erlangen, Germany
(J.H.)
| | - Tom Finck
- From the Centre for the Developing Brain, School of Biomedical
Engineering & Imaging Sciences, King's College London, 1st Floor
South Wing, St Thomas’ Hospital, Westminster Bridge Road SE1 7EH London,
United Kingdom (J.A.V., L.S., M.H., P.T.S., S.J.M., M.A.R., J.V.H, J.H.); Centre
for Medical Biomedical Engineering Department, School of Biomedical Engineering
and Imaging Sciences, King's College London, London, UK (J.A.V., L.S.,
A.E., S.J.M., M.A.R., J.V.H., J.H.); Women's Health, GSTT, London, UK
(L.S., M.H., T.F., P.T.S.); Technical University Munich, Munich, Germany (T.F.);
MR Research Collaborations, Siemens Healthcare Limited, Camberley, UK (R.T.T.);
and Radiological Institute, University Hospital Erlangen, Erlangen, Germany
(J.H.)
| | - Alexia Egloff
- From the Centre for the Developing Brain, School of Biomedical
Engineering & Imaging Sciences, King's College London, 1st Floor
South Wing, St Thomas’ Hospital, Westminster Bridge Road SE1 7EH London,
United Kingdom (J.A.V., L.S., M.H., P.T.S., S.J.M., M.A.R., J.V.H, J.H.); Centre
for Medical Biomedical Engineering Department, School of Biomedical Engineering
and Imaging Sciences, King's College London, London, UK (J.A.V., L.S.,
A.E., S.J.M., M.A.R., J.V.H., J.H.); Women's Health, GSTT, London, UK
(L.S., M.H., T.F., P.T.S.); Technical University Munich, Munich, Germany (T.F.);
MR Research Collaborations, Siemens Healthcare Limited, Camberley, UK (R.T.T.);
and Radiological Institute, University Hospital Erlangen, Erlangen, Germany
(J.H.)
| | - Paul T. Seed
- From the Centre for the Developing Brain, School of Biomedical
Engineering & Imaging Sciences, King's College London, 1st Floor
South Wing, St Thomas’ Hospital, Westminster Bridge Road SE1 7EH London,
United Kingdom (J.A.V., L.S., M.H., P.T.S., S.J.M., M.A.R., J.V.H, J.H.); Centre
for Medical Biomedical Engineering Department, School of Biomedical Engineering
and Imaging Sciences, King's College London, London, UK (J.A.V., L.S.,
A.E., S.J.M., M.A.R., J.V.H., J.H.); Women's Health, GSTT, London, UK
(L.S., M.H., T.F., P.T.S.); Technical University Munich, Munich, Germany (T.F.);
MR Research Collaborations, Siemens Healthcare Limited, Camberley, UK (R.T.T.);
and Radiological Institute, University Hospital Erlangen, Erlangen, Germany
(J.H.)
| | - Shaihan J. Malik
- From the Centre for the Developing Brain, School of Biomedical
Engineering & Imaging Sciences, King's College London, 1st Floor
South Wing, St Thomas’ Hospital, Westminster Bridge Road SE1 7EH London,
United Kingdom (J.A.V., L.S., M.H., P.T.S., S.J.M., M.A.R., J.V.H, J.H.); Centre
for Medical Biomedical Engineering Department, School of Biomedical Engineering
and Imaging Sciences, King's College London, London, UK (J.A.V., L.S.,
A.E., S.J.M., M.A.R., J.V.H., J.H.); Women's Health, GSTT, London, UK
(L.S., M.H., T.F., P.T.S.); Technical University Munich, Munich, Germany (T.F.);
MR Research Collaborations, Siemens Healthcare Limited, Camberley, UK (R.T.T.);
and Radiological Institute, University Hospital Erlangen, Erlangen, Germany
(J.H.)
| | - Mary A. Rutherford
- From the Centre for the Developing Brain, School of Biomedical
Engineering & Imaging Sciences, King's College London, 1st Floor
South Wing, St Thomas’ Hospital, Westminster Bridge Road SE1 7EH London,
United Kingdom (J.A.V., L.S., M.H., P.T.S., S.J.M., M.A.R., J.V.H, J.H.); Centre
for Medical Biomedical Engineering Department, School of Biomedical Engineering
and Imaging Sciences, King's College London, London, UK (J.A.V., L.S.,
A.E., S.J.M., M.A.R., J.V.H., J.H.); Women's Health, GSTT, London, UK
(L.S., M.H., T.F., P.T.S.); Technical University Munich, Munich, Germany (T.F.);
MR Research Collaborations, Siemens Healthcare Limited, Camberley, UK (R.T.T.);
and Radiological Institute, University Hospital Erlangen, Erlangen, Germany
(J.H.)
| | - Joseph V. Hajnal
- From the Centre for the Developing Brain, School of Biomedical
Engineering & Imaging Sciences, King's College London, 1st Floor
South Wing, St Thomas’ Hospital, Westminster Bridge Road SE1 7EH London,
United Kingdom (J.A.V., L.S., M.H., P.T.S., S.J.M., M.A.R., J.V.H, J.H.); Centre
for Medical Biomedical Engineering Department, School of Biomedical Engineering
and Imaging Sciences, King's College London, London, UK (J.A.V., L.S.,
A.E., S.J.M., M.A.R., J.V.H., J.H.); Women's Health, GSTT, London, UK
(L.S., M.H., T.F., P.T.S.); Technical University Munich, Munich, Germany (T.F.);
MR Research Collaborations, Siemens Healthcare Limited, Camberley, UK (R.T.T.);
and Radiological Institute, University Hospital Erlangen, Erlangen, Germany
(J.H.)
| | - Raphaël Tomi-Tricot
- From the Centre for the Developing Brain, School of Biomedical
Engineering & Imaging Sciences, King's College London, 1st Floor
South Wing, St Thomas’ Hospital, Westminster Bridge Road SE1 7EH London,
United Kingdom (J.A.V., L.S., M.H., P.T.S., S.J.M., M.A.R., J.V.H, J.H.); Centre
for Medical Biomedical Engineering Department, School of Biomedical Engineering
and Imaging Sciences, King's College London, London, UK (J.A.V., L.S.,
A.E., S.J.M., M.A.R., J.V.H., J.H.); Women's Health, GSTT, London, UK
(L.S., M.H., T.F., P.T.S.); Technical University Munich, Munich, Germany (T.F.);
MR Research Collaborations, Siemens Healthcare Limited, Camberley, UK (R.T.T.);
and Radiological Institute, University Hospital Erlangen, Erlangen, Germany
(J.H.)
| | - Jana Hutter
- From the Centre for the Developing Brain, School of Biomedical
Engineering & Imaging Sciences, King's College London, 1st Floor
South Wing, St Thomas’ Hospital, Westminster Bridge Road SE1 7EH London,
United Kingdom (J.A.V., L.S., M.H., P.T.S., S.J.M., M.A.R., J.V.H, J.H.); Centre
for Medical Biomedical Engineering Department, School of Biomedical Engineering
and Imaging Sciences, King's College London, London, UK (J.A.V., L.S.,
A.E., S.J.M., M.A.R., J.V.H., J.H.); Women's Health, GSTT, London, UK
(L.S., M.H., T.F., P.T.S.); Technical University Munich, Munich, Germany (T.F.);
MR Research Collaborations, Siemens Healthcare Limited, Camberley, UK (R.T.T.);
and Radiological Institute, University Hospital Erlangen, Erlangen, Germany
(J.H.)
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6
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Uus AU, Hall M, Grigorescu I, Zampieri CA, Collado AE, Payette K, Matthew J, Kyriakopoulou V, Hajnal JV, Hutter J, Rutherford MA, Deprez M, Story L. 3D T2w fetal body MRI: automated organ volumetry, growth charts and population-averaged atlas. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.05.31.23290751. [PMID: 37398121 PMCID: PMC10312818 DOI: 10.1101/2023.05.31.23290751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Structural fetal body MRI provides true 3D information required for volumetry of fetal organs. However, current clinical and research practice primarily relies on manual slice-wise segmentation of raw T2-weighted stacks, which is time consuming, subject to inter- and intra-observer bias and affected by motion-corruption. Furthermore, there are no existing standard guidelines defining a universal approach to parcellation of fetal organs. This work produces the first parcellation protocol of the fetal body organs for motion-corrected 3D fetal body MRI. It includes 10 organ ROIs relevant to fetal quantitative volumetry studies. We also introduce the first population-averaged T2w MRI atlas of the fetal body. The protocol was used as a basis for training of a neural network for automated organ segmentation. It showed robust performance for different gestational ages. This solution minimises the need for manual editing and significantly reduces time. The general feasibility of the proposed pipeline was also assessed by analysis of organ growth charts created from automated parcellations of 91 normal control 3T MRI datasets that showed expected increase in volumetry during 22-38 weeks gestational age range. In addition, the results of comparison between 60 normal and 12 fetal growth restriction datasets revealed significant differences in organ volumes.
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Affiliation(s)
- Alena U. Uus
- School of Imaging Sciences and Biomedical Engineering, King’s College London, London, UK
| | - Megan Hall
- Centre for the Developing Brain, King’s College London, London, UK
- Department of Women and Children’s Health, King’s College London, London, UK
- Fetal Medicine Unit, Guy’s and St Thomas’ NHS Foundation Trust, London, UK
| | - Irina Grigorescu
- School of Imaging Sciences and Biomedical Engineering, King’s College London, London, UK
| | - Carla Avena Zampieri
- Centre for the Developing Brain, King’s College London, London, UK
- Department of Women and Children’s Health, King’s College London, London, UK
| | | | - Kelly Payette
- School of Imaging Sciences and Biomedical Engineering, King’s College London, London, UK
- Centre for the Developing Brain, King’s College London, London, UK
| | - Jacqueline Matthew
- School of Imaging Sciences and Biomedical Engineering, King’s College London, London, UK
- Centre for the Developing Brain, King’s College London, London, UK
| | | | - Joseph V. Hajnal
- School of Imaging Sciences and Biomedical Engineering, King’s College London, London, UK
- Centre for the Developing Brain, King’s College London, London, UK
| | - Jana Hutter
- School of Imaging Sciences and Biomedical Engineering, King’s College London, London, UK
- Centre for the Developing Brain, King’s College London, London, UK
| | | | - Maria Deprez
- School of Imaging Sciences and Biomedical Engineering, King’s College London, London, UK
| | - Lisa Story
- Centre for the Developing Brain, King’s College London, London, UK
- Department of Women and Children’s Health, King’s College London, London, UK
- Fetal Medicine Unit, Guy’s and St Thomas’ NHS Foundation Trust, London, UK
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7
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Payette K, Uus A, Verdera JA, Zampieri CA, Hall M, Story L, Deprez M, Rutherford MA, Hajnal JV, Ourselin S, Tomi-Tricot R, Hutter J. An automated pipeline for quantitative T2* fetal body MRI and segmentation at low field. ARXIV 2023:arXiv:2308.04903v1. [PMID: 37608939 PMCID: PMC10441444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
Fetal Magnetic Resonance Imaging at low field strengths is emerging as an exciting direction in perinatal health. Clinical low field (0.55T) scanners are beneficial for fetal imaging due to their reduced susceptibility-induced artefacts, increased T2* values, and wider bore (widening access for the increasingly obese pregnant population). However, the lack of standard automated image processing tools such as segmentation and reconstruction hampers wider clinical use. In this study, we introduce a semi-automatic pipeline using quantitative MRI for the fetal body at low field strength resulting in fast and detailed quantitative T2* relaxometry analysis of all major fetal body organs. Multi-echo dynamic sequences of the fetal body were acquired and reconstructed into a single high-resolution volume using deformable slice-to-volume reconstruction, generating both structural and quantitative T2* 3D volumes. A neural network trained using a semi-supervised approach was created to automatically segment these fetal body 3D volumes into ten different organs (resulting in dice values > 0.74 for 8 out of 10 organs). The T2* values revealed a strong relationship with GA in the lungs, liver, and kidney parenchyma (R2 >0.5). This pipeline was used successfully for a wide range of GAs (17-40 weeks), and is robust to motion artefacts. Low field fetal MRI can be used to perform advanced MRI analysis, and is a viable option for clinical scanning.
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Affiliation(s)
- Kelly Payette
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, UK
- Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, UK
| | - Alena Uus
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, UK
- Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, UK
| | - Jordina Aviles Verdera
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, UK
- Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, UK
| | - Carla Avena Zampieri
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, UK
- Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, UK
| | - Megan Hall
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, UK
- Department of Women & Children’s Health, King’s College London, London, UK: MR Research Collaborations, Siemens Healthcare Limited, Camberley, UK
| | - Lisa Story
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, UK
- Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, UK
| | - Maria Deprez
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, UK
- Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, UK
| | - Mary A. Rutherford
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, UK
| | - Joseph V. Hajnal
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, UK
- Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, UK
| | - Sebastien Ourselin
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, UK
- Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, UK
| | - Raphael Tomi-Tricot
- Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, UK
| | - Jana Hutter
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, UK
- Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, UK
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8
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Avena-Zampieri CL, Hutter J, Deprez M, Payette K, Hall M, Uus A, Nanda S, Milan A, Seed PT, Rutherford M, Greenough A, Story L. Assessment of normal pulmonary development using functional magnetic resonance imaging techniques. Am J Obstet Gynecol MFM 2023; 5:100935. [PMID: 36933803 PMCID: PMC10711505 DOI: 10.1016/j.ajogmf.2023.100935] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 03/10/2023] [Accepted: 03/13/2023] [Indexed: 03/18/2023]
Abstract
BACKGROUND The mainstay of assessment of the fetal lungs in clinical practice is via evaluation of pulmonary size, primarily using 2D ultrasound and more recently with anatomical magnetic resonance imaging. The emergence of advanced magnetic resonance techniques such as T2* relaxometry in combination with the latest motion correction post-processing tools now facilitates assessment of the metabolic activity or perfusion of fetal pulmonary tissue in vivo. OBJECTIVE This study aimed to characterize normal pulmonary development using T2* relaxometry, accounting for fetal motion across gestation. METHODS Datasets from women with uncomplicated pregnancies that delivered at term, were analyzed. All subjects had undergone T2-weighted imaging and T2* relaxometry on a Phillips 3T magnetic resonance imaging system antenatally. T2* relaxometry of the fetal thorax was performed using a gradient echo single-shot echo planar imaging sequence. Following correction for fetal motion using slice-to-volume reconstruction, T2* maps were generated using in-house pipelines. Lungs were manually segmented and mean T2* values calculated for the right and left lungs individually, and for both lungs combined. Lung volumes were generated from the segmented images, and the right and left lungs, as well as both lungs combined were assessed. RESULTS Eighty-seven datasets were suitable for analysis. The mean gestation at scan was 29.9±4.3 weeks (range: 20.6-38.3) and mean gestation at delivery was 40±1.2 weeks (range: 37.1-42.4). Mean T2* values of the lungs increased over gestation for right and left lungs individually and for both lungs assessed together (P=.003; P=.04; P=.003, respectively). Right, left, and total lung volumes were also strongly correlated with increasing gestational age (P<.001 in all cases). CONCLUSION This large study assessed developing lungs using T2* imaging across a wide gestational age range. Mean T2* values increased with gestational age, which may reflect increasing perfusion and metabolic requirements and alterations in tissue composition as gestation advances. In the future, evaluation of findings in fetuses with conditions known to be associated with pulmonary morbidity may lead to enhanced prognostication antenatally, consequently improving counseling and perinatal care planning.
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Affiliation(s)
- Carla L Avena-Zampieri
- Department of Women and Children's Health, King's College London, London, United Kingdom (XX Avena-Zampieri, XX Hall, XX Seed, XX Greenough, and XX Story); Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom (Ms Avena-Zampieri, Dr Hutter, Mr Deprez, Ms Payette, Dr Hall, Ms Uus, Prof Rutherford, and Dr Story).
| | - Jana Hutter
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom (Ms Avena-Zampieri, Dr Hutter, Mr Deprez, Ms Payette, Dr Hall, Ms Uus, Prof Rutherford, and Dr Story)
| | - Maria Deprez
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom (Ms Avena-Zampieri, Dr Hutter, Mr Deprez, Ms Payette, Dr Hall, Ms Uus, Prof Rutherford, and Dr Story); Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom (Ms Deprez, Ms Payette, and Ms Uus)
| | - Kelly Payette
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom (Ms Avena-Zampieri, Dr Hutter, Mr Deprez, Ms Payette, Dr Hall, Ms Uus, Prof Rutherford, and Dr Story); Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom (Ms Deprez, Ms Payette, and Ms Uus)
| | - Megan Hall
- Department of Women and Children's Health, King's College London, London, United Kingdom (XX Avena-Zampieri, XX Hall, XX Seed, XX Greenough, and XX Story); Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom (Ms Avena-Zampieri, Dr Hutter, Mr Deprez, Ms Payette, Dr Hall, Ms Uus, Prof Rutherford, and Dr Story); Fetal Medicine Unit, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom (Dr Hall, Dr Nanda, and Dr Story)
| | - Alena Uus
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom (Ms Avena-Zampieri, Dr Hutter, Mr Deprez, Ms Payette, Dr Hall, Ms Uus, Prof Rutherford, and Dr Story); Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom (Ms Deprez, Ms Payette, and Ms Uus)
| | - Surabhi Nanda
- Fetal Medicine Unit, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom (Dr Hall, Dr Nanda, and Dr Story)
| | - Anna Milan
- Neonatal Unit, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom (Dr Milan)
| | - Paul T Seed
- Department of Women and Children's Health, King's College London, London, United Kingdom (XX Avena-Zampieri, XX Hall, XX Seed, XX Greenough, and XX Story)
| | - Mary Rutherford
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom (Ms Avena-Zampieri, Dr Hutter, Mr Deprez, Ms Payette, Dr Hall, Ms Uus, Prof Rutherford, and Dr Story)
| | - Anne Greenough
- Department of Women and Children's Health, King's College London, London, United Kingdom (XX Avena-Zampieri, XX Hall, XX Seed, XX Greenough, and XX Story); Neonatal Unit, King's College Hospital, London, United Kingdom (Prof Greenough); National Institute for Health and Care Research Biomedical Research Centre based at Guy's & St Thomas NHS Foundation Trusts and King's College London, London, United Kingdom (Prof Greenough)
| | - Lisa Story
- Department of Women and Children's Health, King's College London, London, United Kingdom (XX Avena-Zampieri, XX Hall, XX Seed, XX Greenough, and XX Story); Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom (Ms Avena-Zampieri, Dr Hutter, Mr Deprez, Ms Payette, Dr Hall, Ms Uus, Prof Rutherford, and Dr Story); Fetal Medicine Unit, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom (Dr Hall, Dr Nanda, and Dr Story)
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9
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Hutter J, Slator PJ, Avena Zampieri C, Hall M, Rutherford M, Story L. Multi-modal MRI reveals changes in placental function following preterm premature rupture of membranes. Magn Reson Med 2023; 89:1151-1159. [PMID: 36255151 PMCID: PMC10091779 DOI: 10.1002/mrm.29483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 09/18/2022] [Accepted: 09/20/2022] [Indexed: 02/02/2023]
Abstract
PURPOSE Preterm premature rupture of membranes complicates up to 40% of premature deliveries. Fetal infection may occur in the absence of maternal symptoms, delaying diagnosis and increasing morbidity and mortality. A noninvasive antenatal assessment of early signs of placental inflammation is therefore urgently required. METHODS Sixteen women with preterm premature rupture of membranes < 34 weeks gestation and 60 women with uncomplicated pregnancies were prospectively recruited. A modified diffusion-weighted spin-echo single shot EPI sequence with a diffusion preparation acquiring 264 unique parameter combinations in < 9 min was obtained on a clinical 3 Tesla MRI scanner. The data was fitted to a 2-compartment T 2 * $$ {\mathrm{T}}_2^{\ast } $$ -intravoxel incoherent motion model comprising fast and slowly circulating fluid pools to obtain quantitative information on perfusion, density, and tissue composition. Z values were calculated, and correlation with time from between the rupture of membranes and the scan, gestational age at delivery, and time between scan and delivery assessed. RESULTS Placental T 2 * $$ {\mathrm{T}}_2^{\ast } $$ was significantly reduced in preterm premature rupture of membranes, and the 2-compartmental model demonstrated that this decline is mainly linked to the perfusion component observed in the placental parenchyma. Multi-modal MRI measurement of placental function is linked to gestational age at delivery and time from membrane rupture. CONCLUSION More complex models and data acquisition can potentially improve fitting of the underlying etiology of preterm birth compared with individual single-contrast models and contribute to additional insights in the future. This will need validation in larger cohorts. A multi-modal MRI acquisition between rupture of the membranes and delivery can be used to measure placental function and is linked to gestational age at delivery.
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Affiliation(s)
- Jana Hutter
- Centre for the Developing Brain, King's College London, London, United Kingdom.,Centre for Medical Engineering, King's College London, London, United Kingdom
| | | | - Carla Avena Zampieri
- Centre for the Developing Brain, King's College London, London, United Kingdom.,Centre for Medical Engineering, King's College London, London, United Kingdom
| | - Megan Hall
- Centre for the Developing Brain, King's College London, London, United Kingdom.,Institute for Women's and Children's Health, King's College London, London, United Kingdom.,Fetal Medicine Unit, St Thomas' Hospital, London, United Kingdom
| | - Mary Rutherford
- Centre for the Developing Brain, King's College London, London, United Kingdom.,Centre for Medical Engineering, King's College London, London, United Kingdom
| | - Lisa Story
- Centre for the Developing Brain, King's College London, London, United Kingdom.,Institute for Women's and Children's Health, King's College London, London, United Kingdom.,Fetal Medicine Unit, St Thomas' Hospital, London, United Kingdom
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10
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Dassios T. Critical functional lung volumes in neonatal intensive care: evidence and clinical applications. Pediatr Res 2023:10.1038/s41390-022-02450-9. [PMID: 36624281 DOI: 10.1038/s41390-022-02450-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 11/08/2022] [Accepted: 12/14/2022] [Indexed: 01/11/2023]
Abstract
Respiratory disease is common in premature and sick newborn infants and can often necessitate the initiation of intensive care. Newborn infants often suffer from conditions that are associated with decreased lung volumes that occur as a result of abnormal or incomplete lung development. Such conditions are prematurity and respiratory distress syndrome, preterm premature rupture of membranes and the ensuing pulmonary hypoplasia and congenital lung anomalies such as congenital diaphragmatic hernia. These diseases have a structural component manifesting with lower lung volumes and a functional component that can present with increased oxygen and ventilatory requirements. The corresponding decreased functional lung volume is possibly responsible for some unfavourable pulmonary outcomes. Some infants are unable to wean off invasive respiratory support and, in extreme cases, unable to sustain independent breathing that can lead to long-term invasive ventilation or subsequent death. The aim of this review is to summarise the available evidence behind the concept of a critical functional lung volume in neonatal intensive care and describe the clinical implications that arise from decreased functional lung volumes in the main high-risk populations of newborn infants. IMPACT: Newborn infants suffer from diseases such as respiratory distress syndrome, pulmonary hypoplasia and congenital diaphragmatic hernia that are associated with a decrease in the total lung volume and impaired lung function. Critically decreased functional lung volumes during neonatal care are associated with failure to wean off invasive respiratory support, increased mortality and possibly longer-term respiratory complications.
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Affiliation(s)
- Theodore Dassios
- Neonatal Intensive Care Centre, King's College Hospital NHS Foundation Trust, London, UK. .,Department of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
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11
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Avena-Zampieri CL, Hutter J, Rutherford M, Milan A, Hall M, Egloff A, Lloyd DFA, Nanda S, Greenough A, Story L. Assessment of the fetal lungs in utero. Am J Obstet Gynecol MFM 2022; 4:100693. [PMID: 35858660 PMCID: PMC9811184 DOI: 10.1016/j.ajogmf.2022.100693] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 07/12/2022] [Accepted: 07/12/2022] [Indexed: 01/07/2023]
Abstract
Antenatal diagnosis of abnormal pulmonary development has improved significantly over recent years because of progress in imaging techniques. Two-dimensional ultrasound is the mainstay of investigation of pulmonary pathology during pregnancy, providing good prognostication in conditions such as congenital diaphragmatic hernia; however, it is less validated in other high-risk groups such as those with congenital pulmonary airway malformation or preterm premature rupture of membranes. Three-dimensional assessment of lung volume and size is now possible using ultrasound or magnetic resonance imaging; however, the use of these techniques is still limited because of unpredictable fetal motion, and such tools have also been inadequately validated in high-risk populations other than those with congenital diaphragmatic hernia. The advent of advanced, functional magnetic resonance imaging techniques such as diffusion and T2* imaging, and the development of postprocessing pipelines that facilitate motion correction, have enabled not only more accurate evaluation of pulmonary size, but also assessment of tissue microstructure and perfusion. In the future, fetal magnetic resonance imaging may have an increasing role in the prognostication of pulmonary abnormalities and in monitoring current and future antenatal therapies to enhance lung development. This review aims to examine the current imaging methods available for assessment of antenatal lung development and to outline possible future directions.
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Affiliation(s)
- Carla L Avena-Zampieri
- Department of Women and Children's Health, King's College London, London, United Kingdom; Centre for the Developing Brain, King's College London, London, United Kingdom
| | - Jana Hutter
- Centre for the Developing Brain, King's College London, London, United Kingdom
| | - Mary Rutherford
- Centre for the Developing Brain, King's College London, London, United Kingdom
| | - Anna Milan
- Neonatal Unit, Guy's and St Thomas' National Health Service Foundation Trust, London, United Kingdom
| | - Megan Hall
- Department of Women and Children's Health, King's College London, London, United Kingdom; Centre for the Developing Brain, King's College London, London, United Kingdom
| | - Alexia Egloff
- Centre for the Developing Brain, King's College London, London, United Kingdom
| | - David F A Lloyd
- Centre for the Developing Brain, King's College London, London, United Kingdom
| | - Surabhi Nanda
- Fetal Medicine Unit, Guy's and St Thomas' National Health Service Foundation Trust, London, United Kingdom
| | - Anne Greenough
- Department of Women and Children's Health, King's College London, London, United Kingdom; Neonatal Unit, King's College Hospital, London, United Kingdom; Asthma UK Centre in Allergic Mechanisms of Asthma, King's College London, London, United Kingdom; National Institute for Health and Care Research Biomedical Research Centre, Guy's & St Thomas National Health Service Foundation Trust and King's College London, London, United Kingdom
| | - Lisa Story
- Department of Women and Children's Health, King's College London, London, United Kingdom; Centre for the Developing Brain, King's College London, London, United Kingdom; Fetal Medicine Unit, Guy's and St Thomas' National Health Service Foundation Trust, London, United Kingdom.
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12
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Uus AU, Egloff Collado A, Roberts TA, Hajnal JV, Rutherford MA, Deprez M. Retrospective motion correction in foetal MRI for clinical applications: existing methods, applications and integration into clinical practice. Br J Radiol 2022:20220071. [PMID: 35834425 DOI: 10.1259/bjr.20220071] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
Foetal MRI is a complementary imaging method to antenatal ultrasound. It provides advanced information for detection and characterisation of foetal brain and body anomalies. Even though modern single shot sequences allow fast acquisition of 2D slices with high in-plane image quality, foetal MRI is intrinsically corrupted by motion. Foetal motion leads to loss of structural continuity and corrupted 3D volumetric information in stacks of slices. Furthermore, the arbitrary and constantly changing position of the foetus requires dynamic readjustment of acquisition planes during scanning.
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Affiliation(s)
- Alena U Uus
- Department of Biomedical Engineering, School Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, United Kingdom
| | - Alexia Egloff Collado
- Centre for the Developing Brain, School Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, United Kingdom
| | - Thomas A Roberts
- Department of Biomedical Engineering, School Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, United Kingdom.,Clinical Scientific Computing, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom
| | - Joseph V Hajnal
- Department of Biomedical Engineering, School Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, United Kingdom.,Centre for the Developing Brain, School Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, United Kingdom
| | - Mary A Rutherford
- Centre for the Developing Brain, School Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, United Kingdom
| | - Maria Deprez
- Department of Biomedical Engineering, School Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, United Kingdom
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13
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Hutter J, Jackson L, Ho A, Avena Zampieri C, Hajnal JV, Al-Adnani M, Nanda S, Shennan AH, Tribe RM, Gibbons D, Rutherford MA, Story L. The use of functional placental magnetic resonance imaging for assessment of the placenta after prolonged preterm rupture of the membranes in vivo: A pilot study. Acta Obstet Gynecol Scand 2021; 100:2244-2252. [PMID: 34546571 DOI: 10.1111/aogs.14267] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 08/18/2021] [Accepted: 08/31/2021] [Indexed: 12/29/2022]
Abstract
INTRODUCTION Preterm prelabor rupture of membranes (PPROM) complicates 3% of pregnancies in the UK. Where delivery does not occur spontaneously, expectant management until 37 weeks of gestation is advocated, unless signs of maternal infection develop. However, clinical presentation of maternal infection can be a late sign and injurious fetal inflammatory responses may already have been activated. There is therefore a need for more sensitive markers to aid optimal timing of interventions. At present there is no non-invasive test in clinical practice to assess for infection in the fetal compartment and definitive diagnosis of chorioamnionitis is by histological assessment of the placenta after delivery. This study presents comprehensive functional placental magnetic resonance imaging (MRI) quantification, already used in other organ systems, to assess for infection/inflammation, in women with and without PPROM aiming to explore its use as a biomarker for inflammation within the feto-placental compartment in vivo. MATERIAL AND METHODS Placental MRI scans were performed in a cohort of 12 women (with one having two scans) with PPROM before 34 weeks of gestation (selected because of their high risk of infection), and in a control group of 87 women. Functional placental assessment was performed with magnetic resonance techniques sensitive to changes in the microstructure (diffusion) and tissue composition (relaxometry), with quantification performed both over the entire organ and in regions of interest between the basal and chorionic plate. Placental histology was analyzed after delivery where available. RESULTS Normative evolution of functional magnetic resonance biomarkers over gestation was studied. Cases of inflammation, as assessed by histological presence of chorioamnionitis, and umbilical cord vasculitis with or without funisitis, were associated with lower T2* (mean T2* at 30 weeks 50 ms compared with 58 ms in controls) and higher fractional anisotropy (mean at 30 weeks 0.55 compared with 0.45 in controls). These differences did not reach significance and there was substantial heterogeneity both in T2* and Apparent Diffusivitiy across the cohort. CONCLUSIONS This first exploration of functional placental assessment in a cohort of women with PPROM demonstrates that functional placental MRI can reveal a range of placental changes associated with inflammatory processes. It is a promising tool to gain information and in the future to identify inflammation in vivo, and could therefore assist in improving optimal timing for interventions designed to prevent fetal injury.
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Affiliation(s)
- Jana Hutter
- Centre for Medical Engineering, King's College London, London, UK
| | - Laurence Jackson
- Centre for Medical Engineering, King's College London, London, UK
| | - Alison Ho
- Centre for Medical Engineering, King's College London, London, UK.,Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK
| | - Carla Avena Zampieri
- Centre for Medical Engineering, King's College London, London, UK.,Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK
| | - Joseph V Hajnal
- Centre for Medical Engineering, King's College London, London, UK
| | | | - Surabhi Nanda
- Peter Gorer Department of Immunobiology, King's College London, London, UK
| | - Andrew H Shennan
- Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK
| | - Rachel M Tribe
- Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK
| | - Deena Gibbons
- Peter Gorer Department of Immunobiology, King's College London, London, UK
| | | | - Lisa Story
- Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK.,Fetal Medicine Unit, St Thomas' Hospital, London, UK
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14
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Davidson JR, Uus A, Matthew J, Egloff AM, Deprez M, Yardley I, De Coppi P, David A, Carmichael J, Rutherford MA. Fetal body MRI and its application to fetal and neonatal treatment: an illustrative review. THE LANCET. CHILD & ADOLESCENT HEALTH 2021; 5:447-458. [PMID: 33721554 PMCID: PMC7614154 DOI: 10.1016/s2352-4642(20)30313-8] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 08/28/2020] [Accepted: 09/08/2020] [Indexed: 12/14/2022]
Abstract
This Review depicts the evolving role of MRI in the diagnosis and prognostication of anomalies of the fetal body, here including head and neck, thorax, abdomen and spine. A review of the current literature on the latest developments in antenatal imaging for diagnosis and prognostication of congenital anomalies is coupled with illustrative cases in true radiological planes with viewable three-dimensional video models that show the potential of post-acquisition reconstruction protocols. We discuss the benefits and limitations of fetal MRI, from anomaly detection, to classification and prognostication, and defines the role of imaging in the decision to proceed to fetal intervention, across the breadth of included conditions. We also consider the current capabilities of ultrasound and explore how MRI and ultrasound can complement each other in the future of fetal imaging.
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Affiliation(s)
- Joseph R Davidson
- Prenatal Cell and Gene Therapy, Elizabeth Garrett Anderson Institute of Women's Health, University College London, London, UK; UCL Great Ormond Street Institute of Child Health, University College London, London, UK.
| | - Alena Uus
- Stem Cells and Regenerative Medicine; Perinatal Imaging, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Jacqueline Matthew
- Stem Cells and Regenerative Medicine; Perinatal Imaging, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Alexia M Egloff
- Stem Cells and Regenerative Medicine; Perinatal Imaging, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Maria Deprez
- Stem Cells and Regenerative Medicine; Perinatal Imaging, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Iain Yardley
- Paediatric Surgery, Evelina London Children's Hospital, London, UK
| | - Paolo De Coppi
- UCL Great Ormond Street Institute of Child Health, University College London, London, UK; Specialist Neonatal and Paediatric Surgery, Great Ormond Street Hospital for Children, London, UK; Katholieke Universiteit Leuven, Leuven, Belgium
| | - Anna David
- Prenatal Cell and Gene Therapy, Elizabeth Garrett Anderson Institute of Women's Health, University College London, London, UK; Fetal Medicine Unit, University College London, London, UK
| | - Jim Carmichael
- Paediatric Radiology, Evelina London Children's Hospital, London, UK
| | - Mary A Rutherford
- Stem Cells and Regenerative Medicine; Perinatal Imaging, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
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15
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Story L, Zhang T, Uus A, Hutter J, Egloff A, Gibbons D, Ho A, Al-Adnani M, Knight CL, Theodoulou I, Deprez M, Seed PT, Tribe RM, Shennan AH, Rutherford M. Antenatal thymus volumes in fetuses that delivered <32 weeks' gestation: An MRI pilot study. Acta Obstet Gynecol Scand 2021; 100:1040-1050. [PMID: 32865812 PMCID: PMC7614117 DOI: 10.1111/aogs.13983] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 08/11/2020] [Accepted: 08/13/2020] [Indexed: 01/31/2023]
Abstract
INTRODUCTION Infection and inflammation have been implicated in the etiology and subsequent morbidity associated with preterm birth. At present, there are no tests to assess for fetal compartment infection. The thymus, a gland integral in the fetal immune system, has been shown to involute in animal models of antenatal infection, but its response in human fetuses has not been studied. This study aims: (a) to generate magnetic resonance imaging (MRI) -derived fetal thymus volumes standardized for fetal weight; (b) to compare standardized thymus volumes from fetuses that delivered before 32 weeks of gestation with fetuses that subsequently deliver at term; (c) to assess thymus size as a predictor of preterm birth; and (d) to correlate the presence of chorioamnionitis and funisitis at delivery with thymic volumes in utero in fetuses that subsequently deliver preterm. MATERIAL AND METHODS Women at high-risk of preterm birth at 20-32 weeks of gestation were recruited. A control group was obtained from existing data sets acquired as part of three research studies. A fetal MRI was performed on a 1.5T or 3T MRI scanner: T2 weighted images were obtained of the entire uterine content and specifically the fetal thorax. A slice-to-volume registration method was used for reconstruction of three-dimensional images of the thorax. Thymus segmentations were performed manually. Body volumes were calculated by manual segmentation and thymus:body volume ratios were generated. Comparison of groups was performed using multiple regression analysis. Normal ranges were created for thymus volume and thymus:body volume ratios using the control data. Receiver operating curves (ROC) curves were generated for thymus:body volume ratio and gestation-adjusted thymus volume centiles as predictors of preterm birth. Placental histology was analyzed where available from pregnancies that delivered very preterm and the presence of chorioamnionitis/funisitis was noted. RESULTS Normative ranges were created for thymus volume, and thymus volume was standardized for fetal size from fetuses that subsequently delivered at term, but were imaged at 20-32 weeks of gestation. Image data sets from 16 women that delivered <32 weeks of gestation (ten with ruptured membranes and six with intact membranes) and 80 control women that delivered >37 weeks were included. Mean gestation at MRI of the study group was 28+4 weeks (SD 3.2) and for the control group was 25+5 weeks (SD 2.4). Both absolute fetal thymus volumes and thymus:body volume ratios were smaller in fetuses that delivered preterm (P < .001). Of the 16 fetuses that delivered preterm, 13 had placental histology, 11 had chorioamnionitis, and 9 had funisitis. The strongest predictors of prematurity were the thymus volume Z-score and thymus:body volume ratio Z-score (ROC areas 0.915 and 0.870, respectively). CONCLUSIONS We have produced MRI-derived normal ranges for fetal thymus and thymus:body volume ratios between 20 and 32 weeks of gestation. Fetuses that deliver very preterm had reduced thymus volumes when standardized for fetal size. A reduced thymus volume was also a predictor of spontaneous preterm delivery. Thymus volume may be a suitable marker of the fetal inflammatory response, although further work is needed to assess this, increasing the sample size to correlate the extent of chorioamnionitis with thymus size.
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Affiliation(s)
- Lisa Story
- Department of Women and Children’s Health, School of Life Sciences, King’s College London, London, UK,Fetal Medicine Unit, St Thomas’ Hospital, London, UK
| | - Tong Zhang
- Artificial Intelligence Research Center, Peng Cheng Laboratory, Shenzhen, China
| | - Alena Uus
- Centre for the Developing Brain and Centre for Medical Engineering, King’s College London, London, UK
| | - Jana Hutter
- Centre for the Developing Brain and Centre for Medical Engineering, King’s College London, London, UK
| | - Alexia Egloff
- Centre for the Developing Brain and Centre for Medical Engineering, King’s College London, London, UK
| | - Deena Gibbons
- Department of Immunobiology, King’s College London, London, UK
| | - Alison Ho
- Department of Women and Children’s Health, School of Life Sciences, King’s College London, London, UK
| | | | - Caroline L. Knight
- Department of Women and Children’s Health, School of Life Sciences, King’s College London, London, UK,Fetal Medicine Unit, St Thomas’ Hospital, London, UK
| | | | - Maria Deprez
- Artificial Intelligence Research Center, Peng Cheng Laboratory, Shenzhen, China
| | - Paul T. Seed
- Department of Women and Children’s Health, School of Life Sciences, King’s College London, London, UK
| | - Rachel M. Tribe
- Department of Women and Children’s Health, School of Life Sciences, King’s College London, London, UK
| | - Andrew H. Shennan
- Department of Women and Children’s Health, School of Life Sciences, King’s College London, London, UK
| | - Mary Rutherford
- Centre for the Developing Brain and Centre for Medical Engineering, King’s College London, London, UK
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16
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Matthew J, Skelton E, Story L, Davidson A, Knight CL, Gupta C, Pasupathy D, Rutherford M. MRI-Derived Fetal Weight Estimation in the Midpregnancy Fetus: A Method Comparison Study. Fetal Diagn Ther 2021; 48:708-719. [PMID: 34818233 PMCID: PMC7614116 DOI: 10.1159/000519115] [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] [Received: 01/19/2021] [Accepted: 07/12/2021] [Indexed: 02/01/2023]
Abstract
OBJECTIVES The aim of this study was to compare the standard ultrasound (US) estimated fetal weight (EFW) and MRI volume-derived methods for the midtrimester fetus. METHODS Twenty-five paired US and MRI scans had the EFW calculated (gestational age [GA] range = 20-26 weeks). The intra- and interobserver variability of each method was assessed (2 operators/modality). A small sub-analysis was performed on 5 fetuses who were delivered preterm (mean GA 29 +3 weeks) and compared to the actual birthweight. RESULTS Two MRI volumetry EFW formulae under-measured compared to US by -10.9% and -14.5% in the midpregnancy fetus (p < 0.001) but had excellent intra- and interobserver agreement (intraclass correlation coefficient = 0.998 and 0.993). In the preterm fetus, the mean relative difference (MRD) between the MRI volume-derived EFW (MRI-EFW) and actual expected birthweight (at the scan GA) was -13.7% (-159.0 g, 95% CI: -341.7 to 23.7 g) and -17.1% (-204.6 g, 95% CI: -380.4 to -28.8 g), for the 2 MRI formulae. The MRD was smaller for US at 5.3% (69.8 g, 95% CI: -34.3 to 173.9). CONCLUSIONS MRI-EFW results should be interpreted with caution in midpregnancy. Despite excellent observer agreement with MRI volumetry, refinement of the EFW formula is needed in the second trimester, for the small and for the GA and preterm fetus to compensate for lower fetal densities.
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Affiliation(s)
- Jacqueline Matthew
- School of Biomedical Engineering and Imaging Sciences and School of Life Course Sciences, Faculty of Life Sciences in Medicine, King’s College London, London, UK
| | - Emily Skelton
- School of Biomedical Engineering and Imaging Sciences and School of Life Course Sciences, Faculty of Life Sciences in Medicine, King’s College London, London, UK
| | - Lisa Story
- School of Biomedical Engineering and Imaging Sciences and School of Life Course Sciences, Faculty of Life Sciences in Medicine, King’s College London, London, UK,Guy’s & St. Thomas’ NHS Foundation Trust, London, UK
| | - Alice Davidson
- School of Biomedical Engineering and Imaging Sciences and School of Life Course Sciences, Faculty of Life Sciences in Medicine, King’s College London, London, UK
| | - Caroline L. Knight
- School of Biomedical Engineering and Imaging Sciences and School of Life Course Sciences, Faculty of Life Sciences in Medicine, King’s College London, London, UK,Guy’s & St. Thomas’ NHS Foundation Trust, London, UK
| | - Chandni Gupta
- North Tees and Hartlepool NHS Foundation Trust, London, UK
| | - Dharmintra Pasupathy
- Westmead Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Mary Rutherford
- School of Biomedical Engineering and Imaging Sciences and School of Life Course Sciences, Faculty of Life Sciences in Medicine, King’s College London, London, UK,Guy’s & St. Thomas’ NHS Foundation Trust, London, UK
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