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Hall M, Suff N, Slator P, Rutherford M, Shennan A, Hutter J, Story L. Placental multimodal MRI prior to spontaneous preterm birth <32 weeks' gestation: An observational study. BJOG 2024; 131:1782-1792. [PMID: 38956748 DOI: 10.1111/1471-0528.17901] [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: 01/25/2024] [Revised: 05/22/2024] [Accepted: 06/20/2024] [Indexed: 07/04/2024]
Abstract
OBJECTIVE To utilise combined diffusion-relaxation MRI techniques to interrogate antenatal changes in the placenta prior to extreme preterm birth among both women with PPROM and membranes intact, and compare this to a control group who subsequently delivered at term. DESIGN Observational study. SETTING Tertiary Obstetric Unit, London, UK. POPULATION Cases: pregnant women who subsequently spontaneously delivered a singleton pregnancy prior to 32 weeks' gestation without any other obstetric complications. CONTROLS pregnant women who delivered an uncomplicated pregnancy at term. METHODS All women consented to an MRI examination. A combined diffusion-relaxation MRI of the placenta was undertaken and analysed using fractional anisotropy, a combined T2*-apparent diffusion coefficient model and a combined T2*-intravoxel incoherent motion model, in order to provide a detailed placental phenotype associated with preterm birth. Subgroup analyses based on whether women in the case group had PPROM or intact membranes at time of scan, and on latency to delivery were performed. MAIN OUTCOME MEASURES Fractional anisotropy, apparent diffusion coefficients and T2* placental values, from two models including a combined T2*-IVIM model separating fast- and slow-flowing (perfusing and diffusing) compartments. RESULTS This study included 23 women who delivered preterm and 52 women who delivered at term. Placental T2* was lower in the T2*-apparent diffusion coefficient model (p < 0.001) and in the fast- and slow-flowing compartments (p = 0.001 and p < 0.001) of the T2*-IVIM model. This reached a higher level of significance in the preterm prelabour rupture of the membranes group than in the membranes intact group. There was a reduced perfusion fraction among the cases with impending delivery. CONCLUSIONS Placental diffusion-relaxation reveals significant changes in the placenta prior to preterm birth with greater effect noted in cases of preterm prelabour rupture of the membranes. Application of this technique may allow clinically valuable interrogation of histopathological changes before preterm birth. In turn, this could facilitate more accurate antenatal prediction of preterm chorioamnionitis and so aid decisions around the safest time of delivery. Furthermore, this technique provides a research tool to improve understanding of the pathological mechanisms associated with preterm birth in vivo.
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Affiliation(s)
- Megan Hall
- Centre for the Developing Brain, St Thomas' Hospital, King's College London, London, UK
- Department of Women and Children's Health, St Thomas' Hospital, King's College London, London, UK
| | - Natalie Suff
- Department of Women and Children's Health, St Thomas' Hospital, King's College London, London, UK
| | - Paddy Slator
- Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff, UK
- School of Computer Science and Informatics, Cardiff University, Cardiff, UK
| | - Mary Rutherford
- Centre for the Developing Brain, St Thomas' Hospital, King's College London, London, UK
| | - Andrew Shennan
- Department of Women and Children's Health, St Thomas' Hospital, King's College London, London, UK
| | - Jana Hutter
- Centre for the Developing Brain, St Thomas' Hospital, King's College London, London, UK
- Smart Imaging Lab, Radiological Institute, University Hospital Erlangen, Erlangen, Germany
| | - Lisa Story
- Centre for the Developing Brain, St Thomas' Hospital, King's College London, London, UK
- Department of Women and Children's Health, St Thomas' Hospital, King's College London, London, UK
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Nakaki A, Denaro E, Crimella M, Castellani R, Vellvé K, Izquierdo N, Basso A, Paules C, Casas R, Benitez L, Casas I, Larroya M, Genero M, Castro‐Barquero S, Gomez‐Gomez A, Pozo ÓJ, Vieta E, Estruch R, Nadal A, Gratacós E, Crovetto F, Crispi F, Youssef L. Effect of Mediterranean diet or mindfulness-based stress reduction during pregnancy on placental volume and perfusion: A subanalysis of the IMPACT BCN randomized clinical trial. Acta Obstet Gynecol Scand 2024; 103:2042-2052. [PMID: 39037192 PMCID: PMC11426209 DOI: 10.1111/aogs.14874] [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: 01/26/2024] [Revised: 04/21/2024] [Accepted: 04/23/2024] [Indexed: 07/23/2024]
Abstract
INTRODUCTION The IMPACT BCN trial-a parallel-group randomized clinical trial where 1221 pregnant women at high risk for small-for-gestational age (SGA) newborns were randomly allocated at 19- to 23-week gestation into three groups: Mediterranean diet, Mindfulness-based Stress reduction or non-intervention-has demonstrated a positive effect of Mediterranean diet and Stress reduction in the prevention of SGA. However, the mechanism of action of these interventions remains still unclear. The aim of this study is to investigate the effect of Mediterranean diet and Stress reduction on placental volume and perfusion. MATERIAL AND METHODS Participants in the Mediterranean diet group received monthly individual and group educational sessions, and free provision of extra-virgin olive oil and walnuts. Women in the Stress reduction group underwent an 8-week Stress reduction program adapted for pregnancy, consisting of weekly 2.5-h and one full-day sessions. Non-intervention group was based on usual care. Placental volume and perfusion were assessed in a subgroup of randomly selected women (n = 165) using magnetic resonance (MR) at 36-week gestation. Small placental volume was defined as MR estimated volume <10th centile. Perfusion was assessed by intravoxel incoherent motion. RESULTS While mean MR placental volume was similar among the study groups, both interventions were associated with a lower prevalence of small placental volume (3.9% Mediterranean diet and 5% stress reduction vs. 17% non-intervention; p = 0.03 and p = 0.04, respectively). Logistic regression showed that small placental volume was significantly associated with higher risk of SGA in both study groups (OR 7.48 [1.99-28.09] in Mediterranean diet and 20.44 [5.13-81.4] in Stress reduction). Mediation analysis showed that the effect of Mediterranean diet on SGA can be decomposed by a direct effect and an indirect effect (56.6%) mediated by a small placental volume. Similarly, the effect of Stress reduction on SGA is partially mediated (45.3%) by a small placental volume. Results on placental intravoxel incoherent motion perfusion fraction and diffusion coefficient were similar among the study groups. CONCLUSIONS Structured interventions during pregnancy based on Mediterranean diet or Stress reduction are associated with a lower proportion of small placentas, which is consistent with the previously observed beneficial effects of these interventions on fetal growth.
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Affiliation(s)
- Ayako Nakaki
- BCNatal – Barcelona Center for Maternal‐Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu)University of BarcelonaBarcelonaSpain
- Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS)BarcelonaSpain
| | - Eugenio Denaro
- BCNatal – Barcelona Center for Maternal‐Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu)University of BarcelonaBarcelonaSpain
| | - Maddalena Crimella
- BCNatal – Barcelona Center for Maternal‐Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu)University of BarcelonaBarcelonaSpain
| | - Roberta Castellani
- BCNatal – Barcelona Center for Maternal‐Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu)University of BarcelonaBarcelonaSpain
| | - Kilian Vellvé
- BCNatal – Barcelona Center for Maternal‐Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu)University of BarcelonaBarcelonaSpain
| | - Nora Izquierdo
- BCNatal – Barcelona Center for Maternal‐Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu)University of BarcelonaBarcelonaSpain
| | - Annachiara Basso
- BCNatal – Barcelona Center for Maternal‐Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu)University of BarcelonaBarcelonaSpain
- Department of Obstetrics and Pediatrics ASST LeccoA. Manzoni HospitalLeccoItaly
| | - Cristina Paules
- BCNatal – Barcelona Center for Maternal‐Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu)University of BarcelonaBarcelonaSpain
- Instituto de Investigación Sanitaria Aragón (IISAragon), Red de Salud Materno Infantil y del Desarrollo (SAMID), RETICS, Instituto de Salud Carlos III (ISCIII)Subdirección General de Evaluación y Fomento de la Investigación y Fondo Europeo de Desarrollo Regional (FEDER)ZaragozaSpain
| | - Rosa Casas
- Department of Internal Medicine Hospital Clinic, IDIBAPSUniversity of BarcelonaBarcelonaSpain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN)Institute de Salud Carlos IIIMadridSpain
- Institut de Recerca en Nutrició i Seguretat Alimentaria (INSA‐UB)University of BarcelonaBarcelonaSpain
| | - Leticia Benitez
- BCNatal – Barcelona Center for Maternal‐Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu)University of BarcelonaBarcelonaSpain
- Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS)BarcelonaSpain
| | - Irene Casas
- BCNatal – Barcelona Center for Maternal‐Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu)University of BarcelonaBarcelonaSpain
- Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS)BarcelonaSpain
| | - Marta Larroya
- BCNatal – Barcelona Center for Maternal‐Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu)University of BarcelonaBarcelonaSpain
- Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS)BarcelonaSpain
| | - Mariona Genero
- BCNatal – Barcelona Center for Maternal‐Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu)University of BarcelonaBarcelonaSpain
- Institut de Recerca Sant Joan de DéuEsplugues de LlobregatSpain
| | - Sara Castro‐Barquero
- BCNatal – Barcelona Center for Maternal‐Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu)University of BarcelonaBarcelonaSpain
- Department of Internal Medicine Hospital Clinic, IDIBAPSUniversity of BarcelonaBarcelonaSpain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN)Institute de Salud Carlos IIIMadridSpain
- Institut de Recerca en Nutrició i Seguretat Alimentaria (INSA‐UB)University of BarcelonaBarcelonaSpain
| | - Alex Gomez‐Gomez
- Integrative Pharmacology and Systems Neuroscience GroupIMIM (Hospital del Mar Medical Research Institute)BarcelonaSpain
| | - Óscar J. Pozo
- Integrative Pharmacology and Systems Neuroscience GroupIMIM (Hospital del Mar Medical Research Institute)BarcelonaSpain
| | - Eduard Vieta
- Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS)BarcelonaSpain
- Department of Psychiatry and Psychology, Hospital Clinic, Neuroscience InstituteUniversity of Barcelona, CIBERSAMBarcelonaSpain
| | - Ramon Estruch
- Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS)BarcelonaSpain
- Department of Internal Medicine Hospital Clinic, IDIBAPSUniversity of BarcelonaBarcelonaSpain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN)Institute de Salud Carlos IIIMadridSpain
- Institut de Recerca en Nutrició i Seguretat Alimentaria (INSA‐UB)University of BarcelonaBarcelonaSpain
| | - Alfons Nadal
- Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS)BarcelonaSpain
- Department of Pathology, Hospital ClinicUniversity of BarcelonaBarcelonaSpain
| | - Eduard Gratacós
- BCNatal – Barcelona Center for Maternal‐Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu)University of BarcelonaBarcelonaSpain
- Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS)BarcelonaSpain
- Institut de Recerca Sant Joan de DéuEsplugues de LlobregatSpain
- Center for Biomedical Research on Rare Diseases (CIBER‐ER)MadridSpain
| | - Francesca Crovetto
- BCNatal – Barcelona Center for Maternal‐Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu)University of BarcelonaBarcelonaSpain
- Institut de Recerca Sant Joan de DéuEsplugues de LlobregatSpain
- Primary Care Interventions to Prevent Maternal and Child Chronic Diseases of Perinatal and Developmental Origin RD21/0012/0003Instituto de Salud Carlos IIIMadridSpain
| | - Fàtima Crispi
- BCNatal – Barcelona Center for Maternal‐Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu)University of BarcelonaBarcelonaSpain
- Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS)BarcelonaSpain
- Center for Biomedical Research on Rare Diseases (CIBER‐ER)MadridSpain
| | - Lina Youssef
- BCNatal – Barcelona Center for Maternal‐Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu)University of BarcelonaBarcelonaSpain
- Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS)BarcelonaSpain
- Institut de Recerca Sant Joan de DéuEsplugues de LlobregatSpain
- Josep Carreras Leukemia Research InstituteHospital Clinic/University of Barcelona CampusBarcelonaSpain
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Lu T, Wang L, Li M, Wang Y, Chen M, Xiao BH, Wáng YXJ. Diffusion-derived vessel density (DDVD) computed from a simple diffusion MRI protocol as a biomarker of placental blood circulation in patients with placenta accreta spectrum disorders: A proof-of-concept study. Magn Reson Imaging 2024; 109:180-186. [PMID: 38513786 DOI: 10.1016/j.mri.2024.03.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 03/18/2024] [Accepted: 03/18/2024] [Indexed: 03/23/2024]
Abstract
OBJECTIVES Increasing trend of PAS (placenta accreta spectrum disorders) incidence is a major health concern as PAS is associated with high maternal morbidity and mortality during cesarean section. Prenatal identification of PAS is crucial for delivery planning and patients management. This study aims to explore whether diffusion-derived vessel density (DDVD) computed from a simple diffusion MRI protocol differs in PAS from normal placenta. METHODS We enrolled 86 patients with PAS disorders and 40 pregnant women without PAS disorders. Each patient underwent intravoxel incoherent motion (IVIM) MRI sequence with 11 b-values. Placenta diffusion-derived vessel density (DDVD-b0b50) was the signal difference between b = 0 and b = 50 s/mm2 images. DDVD(b0b50) A/N was calculated as [accreta lesion DDVD(b0b50)]/ [normal placenta DDVD(b0b50)]. The correlation between DDVD and gestational age was explored using Spearman rank correlation. Differences of DDVD(b0b50) A/N in patients with normal placentas and with PAS, and in patients with different subtypes of PAS were explored. RESULTS DDVD was negatively correlated with gestational age (p = 0.023, r = -0.359) in patients with normal placentas. DDVD(b0b50) A/N was significantly higher in patients with PAS (median:1.16, mean: 1.261) than normal placenta (median:1.02, mean: 1.032, p < 0.001) and especially higher in patients with placenta increta (median:1.14, mean: 1.278) and percreta (median: 1.20, mean: 1.396, p < 0.001). CONCLUSION As a higher DDVD indicates higher physiological volume of micro-vessels in PAS, this study suggests DDVD can be a potential biomarker to evaluate the placenta perfusion.
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Affiliation(s)
- Tao Lu
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, No. 32 West Second Section, First Ring Road, Chengdu 610072, China.
| | - Li Wang
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, No. 32 West Second Section, First Ring Road, Chengdu 610072, China
| | - Mou Li
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, No. 32 West Second Section, First Ring Road, Chengdu 610072, China
| | - Yishuang Wang
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, No. 32 West Second Section, First Ring Road, Chengdu 610072, China
| | - Meining Chen
- MR Research Collaboration, Siemens Healthineers Ltd., Area e, Tianfu Software Park, 1268 Tianfu Avenue Middle Section, Wuhou District, Chengdu 610041, China.
| | - Ben-Heng Xiao
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Prince of Wales Hospital, New Territories, Hong Kong Special Administrative Region
| | - Yì Xiáng J Wáng
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Prince of Wales Hospital, New Territories, Hong Kong Special Administrative Region.
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Lu T, Wang YXJ. Editorial for "Two-Compartment Perfusion MR IVIM Model to Investigate Normal and Pathological Placental Tissue". J Magn Reson Imaging 2024; 59:892-893. [PMID: 37326131 DOI: 10.1002/jmri.28860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 05/09/2023] [Indexed: 06/17/2023] Open
Affiliation(s)
- Tao Lu
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Yi Xiang J Wang
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
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Slator PJ, Cromb D, Jackson LH, Ho A, Counsell SJ, Story L, Chappell LC, Rutherford M, Hajnal JV, Hutter J, Alexander DC. Non-invasive mapping of human placenta microenvironments throughout pregnancy with diffusion-relaxation MRI. Placenta 2023; 144:29-37. [PMID: 37952367 DOI: 10.1016/j.placenta.2023.11.002] [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: 05/10/2023] [Revised: 10/13/2023] [Accepted: 11/01/2023] [Indexed: 11/14/2023]
Abstract
INTRODUCTION In-vivo measurements of placental structure and function have the potential to improve prediction, diagnosis, and treatment planning for a wide range of pregnancy complications, such as fetal growth restriction and pre-eclampsia, and hence inform clinical decision making, ultimately improving patient outcomes. MRI is emerging as a technique with increased sensitivity to placental structure and function compared to the current clinical standard, ultrasound. METHODS We demonstrate and evaluate a combined diffusion-relaxation MRI acquisition and analysis pipeline on a sizable cohort of 78 normal pregnancies with gestational ages ranging from 15 + 5 to 38 + 4 weeks. Our acquisition comprises a combined T2*-diffusion MRI acquisition sequence - which is simultaneously sensitive to oxygenation, microstructure and microcirculation. We analyse our scans with a data-driven unsupervised machine learning technique, InSpect, that parsimoniously identifies distinct components in the data. RESULTS We identify and map seven potential placental microenvironments and reveal detailed insights into multiple microstructural and microcirculatory features of the placenta, and assess their trends across gestation. DISCUSSION By demonstrating direct observation of micro-scale placental structure and function, and revealing clear trends across pregnancy, our work contributes towards the development of robust imaging biomarkers for pregnancy complications and the ultimate goal of a normative model of placental development.
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Affiliation(s)
- Paddy J Slator
- Cardiff University Brain Research Imaging Centre, School of Psychology, Maindy Road, Cardiff, CF24 4HQ, UK; School of Computer Science and Informatics, Cardiff University, Cardiff, UK; Centre for Medical Image Computing and Department of Computer Science, University College London, London, UK.
| | - Daniel Cromb
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Laurence H Jackson
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Alison Ho
- Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK
| | - Serena J Counsell
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, 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
| | - Lucy C Chappell
- Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK
| | - Mary Rutherford
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Joseph V Hajnal
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Jana Hutter
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Daniel C Alexander
- Centre for Medical Image Computing and Department of Computer Science, University College London, London, UK
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Slator PJ, Verdera JA, Tomi-Tricot R, Hajnal JV, Alexander DC, Hutter J. Low-Field Combined Diffusion-Relaxation MRI for Mapping Placenta Structure and Function. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.06.06.23290983. [PMID: 37333076 PMCID: PMC10274995 DOI: 10.1101/2023.06.06.23290983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
Purpose Demonstrating quantitative multi-parametric mapping in the placenta with combined T 2 ∗ -diffusion MRI at low-field (0.55T). Methods We present 57 placental MRI scans performed on a commercially available 0.55T scanner. We acquired the images using a combined T 2 ∗ -diffusion technique scan that simultaneously acquires multiple diffusion preparations and echo times. We processed the data to produce quantitative T 2 ∗ and diffusivity maps using a combined T 2 ∗ -ADC model. We compared the derived quantitative parameters across gestation in healthy controls and a cohort of clinical cases. Results Quantitative parameter maps closely resemble those from previous experiments at higher field strength, with similar trends in T 2 ∗ and ADC against gestational age observed. Conclusion Combined T 2 ∗ -diffusion placental MRI is reliably achievable at 0.55T. The advantages of lower field strength - such as cost, ease of deployment, increased accessibility and patient comfort due to the wider bore, and increased T 2 ∗ for larger dynamic ranges - can support the widespread roll out of placental MRI as an adjunct to ultrasound during pregnancy.
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Affiliation(s)
- Paddy J Slator
- Centre for Medical Image Computing and Department of Computer Science, University College London, London, United Kingdom
- Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, UK
- School of Computer Science and Informatics, Cardiff University, Cardiff, UK
| | - Jordina Aviles Verdera
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
| | - Raphael Tomi-Tricot
- MR Research Collaborations, Siemens Healthcare Limited, Camberley, United Kingdom
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
| | - Joseph V Hajnal
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
| | - Daniel C Alexander
- Centre for Medical Image Computing and Department of Computer Science, University College London, London, United Kingdom
| | - Jana Hutter
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
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Song F, Li R, Lin J, Lv M, Qian Z, Wang L, Wu W. Predicting the risk of fetal growth restriction by radiomics analysis of the placenta on T2WI: A retrospective case-control study. Placenta 2023; 134:15-22. [PMID: 36863127 DOI: 10.1016/j.placenta.2023.02.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 02/18/2023] [Accepted: 02/22/2023] [Indexed: 03/04/2023]
Abstract
INTRODUCTION Fetal growth restriction (FGR) is associated with placental abnormalities, and its precise diagnosis is challenging. This study aimed to explore the role of radiomics based on placental MRI in predicting FGR. METHODS A retrospective study using T2-weighted placental MRI data were conducted. A total of 960 radiomic features were automatically extracted. Features were selected using three-step machine learning methods. A combined model was constructed by combining MRI-based radiomic features and ultrasound-based fetal measurements. The receiver operating characteristic curves (ROC) were conducted to assess model performance. Additionally, decision curves and calibration curves were performed to evaluate prediction consistency of different models. RESULTS Among the study participants, pregnant women who delivered from January 2015 to June 2021 were randomly divided into training (n = 119) and test (n = 40) sets. Forty-three other pregnant women who delivered from July 2021 to December 2021 were used as the time-independent validation set. After training and testing, three radiomic features that were strongly correlated with FGR were selected. The area under the ROC curves (AUCs) of the MRI-based radiomics model reached 0.87 (95% confidence interval [CI]: 0.74-0.96) and 0.87 (95% CI: 0.76-0.97) in the test and validation sets, respectively. Moreover, the AUCs for the model comprising MRI-based radiomic features and ultrasound-based measurements were 0.91 (95% CI: 0.83-0.97) and 0.94 (95% CI: 0.86-0.99) in the test and validation sets, respectively. DISCUSSION MRI-based placental radiomics could accurately predict FGR. Moreover, combining placental MRI-based radiomic features with ultrasound indicators of the fetus could improve the diagnostic accuracy of FGR.
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Affiliation(s)
- Fuzhen Song
- The International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China; Institute of Birth Defects and Rare Diseases, Shanghai Jiao Tong University, Shanghai, China
| | - Ruikun Li
- Institute of Image Processing and Pattern Recognition, Department of Automation, Shanghai Jiao Tong University, Shanghai, China
| | - Jing Lin
- The International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China; Institute of Birth Defects and Rare Diseases, Shanghai Jiao Tong University, Shanghai, China
| | - Mingli Lv
- The International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China; Institute of Birth Defects and Rare Diseases, Shanghai Jiao Tong University, Shanghai, China
| | - Zhaoxia Qian
- The International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China; Institute of Birth Defects and Rare Diseases, Shanghai Jiao Tong University, Shanghai, China.
| | - Lisheng Wang
- Institute of Image Processing and Pattern Recognition, Department of Automation, Shanghai Jiao Tong University, Shanghai, China; Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China.
| | - Weibin Wu
- The International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China; Institute of Birth Defects and Rare Diseases, Shanghai Jiao Tong University, Shanghai, China.
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Lu T, Wang Y, Deng Y, Wu C, Li X, Wang G. Diffusion and perfusion MRI parameters in the evaluation of placenta accreta spectrum disorders in patients with placenta previa. MAGMA (NEW YORK, N.Y.) 2022; 35:1009-1020. [PMID: 35802217 DOI: 10.1007/s10334-022-01023-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 05/22/2022] [Accepted: 06/19/2022] [Indexed: 06/15/2023]
Abstract
OBJECTIVES To evaluate the placental function by monoexponential, biexponential, and diffusion kurtosis MR imaging (MRI) in patients with placenta previa. METHODS A total of 62 patients with placenta accreta spectrum (PAS) disorders and 11 patients with normal placentas were retrospectively enrolled, who underwent conventional diffusion-weighted imaging (DWI), intravoxel incoherent motion (IVIM), and diffusion kurtosis imaging (DKI). The apparent diffusion coefficient (ADC) and exponential ADC (eADC) from standard DWI, mean kurtosis (MK), and diffusion coefficient (MD) from DKI, and pure diffusion coefficient (D), pseudo-diffusion coefficient (D*), and perfusion fraction (f) from IVIM were measured and compared from the volumetric analysis. RESULTS Comparisons between patients with PAS disorders and patients with normal placentas demonstrated that MD mean, D mean, and D* mean values in patients with PAS disorders were significantly higher than those in patients with normal placentas (p < 0.05). Comparisons between patients with accreta, increta, and percreta, and patients with normal placentas showed that the D mean was significantly higher in patients with placenta increta and percreta than in patients with normal placentas (p < 0.05). CONCLUSION The accreta lesions in PAS disorders had deceased cellularity and increased blood movement. The alteration of placental cellularity was more prominent in placenta increta and percreta.
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Affiliation(s)
- Tao Lu
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, 32 West Second Section, First Ring Road, Chengdu, 610072, China
| | - Yishuang Wang
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, 32 West Second Section, First Ring Road, Chengdu, 610072, China
| | - Yan Deng
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, 32 West Second Section, First Ring Road, Chengdu, 610072, China
| | - Chengqian Wu
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, 32 West Second Section, First Ring Road, Chengdu, 610072, China
| | - Xiangqi Li
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, 32 West Second Section, First Ring Road, Chengdu, 610072, China
| | - Guotai Wang
- School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, 2006 Xiyuan Avenue, West Hi-tech Zone, Chengdu, 611731, China.
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Lu T, Wang Y, Guo A, Cui W, Chen Y, Wang S, Wang G. Monoexponential, biexponential and diffusion kurtosis MR imaging models: quantitative biomarkers in the diagnosis of placenta accreta spectrum disorders. BMC Pregnancy Childbirth 2022; 22:349. [PMID: 35459146 PMCID: PMC9034554 DOI: 10.1186/s12884-022-04644-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 03/23/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND To investigate the diagnostic value of monoexponential, biexponential, and diffusion kurtosis MR imaging (MRI) in differentiating placenta accreta spectrum (PAS) disorders. METHODS A total of 65 patients with PAS disorders and 27 patients with normal placentas undergoing conventional DWI, IVIM, and DKI were retrospectively reviewed. The mean, minimum, and maximum parameters including the apparent diffusion coefficient (ADC) and exponential ADC (eADC) from standard DWI, diffusion kurtosis (MK), and mean diffusion coefficient (MD) from DKI and pure diffusion coefficient (D), pseudo-diffusion coefficient (D*), and perfusion fraction (f) from IVIM were measured from the volumetric analysis and compared between patients with PAS disorders and patients with normal placentas. Univariate and multivariated logistic regression analyses were used to evaluate the value of the above parameters for differentiating PAS disorders. Receiver operating characteristics (ROC) curve analyses were used to evaluate the diagnostic efficiency of different diffusion parameters for predicting PAS disorders. RESULTS Multivariate analysis demonstrated that only D mean and D max differed significantly among all the studied parameters for differentiating PAS disorders when comparisons between accreta lesions in patients with PAS (AP) and whole placentas in patients with normal placentas (WP-normal) were performed (all p < 0.05). For discriminating PAS disorders, a combined use of these two parameters yielded an AUC of 0.93 with sensitivity, specificity, and accuracy of 83.08, 88.89, and 83.70%, respectively. CONCLUSION The diagnostic performance of the parameters from accreta lesions was better than that of the whole placenta. D mean and D max were associated with PAS disorders.
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Affiliation(s)
- Tao Lu
- Department of Radiology, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, 32 West Second Section, First Ring Road, Chengdu, 610072, China
| | - Yishuang Wang
- Department of Radiology, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, 32 West Second Section, First Ring Road, Chengdu, 610072, China
| | - Aiwen Guo
- Department of Radiology, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, 32 West Second Section, First Ring Road, Chengdu, 610072, China
| | - Wei Cui
- Department of Radiology, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, 32 West Second Section, First Ring Road, Chengdu, 610072, China
| | - Yazheng Chen
- Department of Radiology, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, 32 West Second Section, First Ring Road, Chengdu, 610072, China
| | - Shaoyu Wang
- Siemens Healthineer, No.278, Zhouzhu Road, Pudong New Area District, Shanghai, 201318, China
| | - Guotai Wang
- School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, 2006 Xiyuan Avenue, West Hi-tech Zone, Chengdu, 611731, China.
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Antonelli A, Capuani S, Ercolani G, Dolciami M, Ciulla S, Celli V, Kuehn B, Piccioni MG, Giancotti A, Porpora MG, Catalano C, Manganaro L. Human placental microperfusion and microstructural assessment by intra-voxel incoherent motion MRI for discriminating intrauterine growth restriction: a pilot study. J Matern Fetal Neonatal Med 2022; 35:9667-9674. [PMID: 35291892 DOI: 10.1080/14767058.2022.2050365] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
OBJECTIVES To evaluate the potential of Intravoxel Incoherent Motion (IVIM) Imaging in the quantification of placental micro-perfusion and microstructural features to identify and discriminate different forms of intrauterine growth restriction (IUGR) and normal fetuses pregnancies. METHODS Small for gestational age SGA (n = 8), fetal growth restriction FGR (n = 10), and normal (n = 49) pregnancies were included in the study. Placental Magnetic Resonance Imaging (MRI) was performed at 1.5 T using a diffusion-weighted sequence with 10 b-values. IVIM fractional perfusion (fp), diffusion (D), and pseudodiffusion (D*) were evaluated on the fetal and maternal placental sides. Correlations between IVIM parameters, Gestational Age (GA), Birth Weight (BW), and the presence or absence of prenatal fetoplacental Doppler abnormalities at the US were investigated in SGA, FGR, and normal placentae. RESULTS fp and D* of the placental fetal side discriminate between SGA and FGR (p = .021; p = .036, respectively), showing lower values in FGR. SGA showed an intermediate perfusion pattern in terms of fp and D* compared to FGR and normal controls. In the intrauterine growth restriction group (SGA + FGR), a significant positive correlation was found between fp and BW (p < .002) in the fetal placenta and a significant negative correlation was found between D and GA in both the fetal (p < .0009) and maternal (p < .006) placentas. CONCLUSIONS Perfusion IVIM parameters fp and D* may be useful to discriminate different micro-vascularization patterns in IUGR being helpful to detect microvascular subtle impairment even in fetuses without any sign of US Doppler impairment in utero. Moreover, fp may predict fetuses' body weight in intrauterine growth restriction pregnancies. The diffusion IVIM parameter D may reflect more rapid microstructural rearrangement of the placenta due to aging processes in the IUGR group than in normal controls.
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Affiliation(s)
- Amanda Antonelli
- Department of Radiological, Oncological and Pathological Sciences, "Sapienza" University of Rome, Rome, Italy
| | - Silvia Capuani
- Physics Department, CNR Institute for Complex Systems (ISC), "Sapienza" University of Rome, Rome, Italy
| | - Giada Ercolani
- Department of Radiological, Oncological and Pathological Sciences, "Sapienza" University of Rome, Rome, Italy
| | - Miriam Dolciami
- Department of Radiological, Oncological and Pathological Sciences, "Sapienza" University of Rome, Rome, Italy
| | - Sandra Ciulla
- Department of Radiological, Oncological and Pathological Sciences, "Sapienza" University of Rome, Rome, Italy
| | - Veronica Celli
- Department of Radiological, Oncological and Pathological Sciences, "Sapienza" University of Rome, Rome, Italy
| | | | - Maria Grazia Piccioni
- Department of Gynaecological-Obstetrical and Urological Sciences, "Sapienza" University of Rome, Rome, Italy
| | - Antonella Giancotti
- Department of Gynaecological-Obstetrical and Urological Sciences, "Sapienza" University of Rome, Rome, Italy
| | - Maria Grazia Porpora
- Department of Gynaecological-Obstetrical and Urological Sciences, "Sapienza" University of Rome, Rome, Italy
| | - Carlo Catalano
- Department of Radiological, Oncological and Pathological Sciences, "Sapienza" University of Rome, Rome, Italy
| | - Lucia Manganaro
- Department of Radiological, Oncological and Pathological Sciences, "Sapienza" University of Rome, Rome, Italy
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He J, Chen Z, Wen T, Xu L, Chen C, Liu P. Utility of placental diffusion-weighted magnetic resonance imaging in prenatal diagnosis of small for gestational age infants and pregnancy outcome prediction. Placenta 2022; 121:91-98. [DOI: 10.1016/j.placenta.2022.03.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 02/08/2022] [Accepted: 03/09/2022] [Indexed: 12/22/2022]
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12
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Malmberg M, Kragsterman E, Sinding M, Hansen DN, Peters DA, Frøkjær JB, Petersen AC, Sørensen A. Perfusion fraction derived from IVIM analysis of diffusion-weighted MRI in the assessment of placental vascular malperfusion antenatally. Placenta 2022; 119:1-7. [DOI: 10.1016/j.placenta.2022.01.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Revised: 12/19/2021] [Accepted: 01/05/2022] [Indexed: 12/16/2022]
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13
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Liu XL, Feng J, Huang CT, Mei YJ, Xu YK. Use of intravoxel incoherent motion MRI to assess placental perfusion in normal and Fetal Growth Restricted pregnancies on their third trimester. Placenta 2021; 118:10-15. [PMID: 34995915 DOI: 10.1016/j.placenta.2021.12.019] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 11/11/2021] [Accepted: 12/23/2021] [Indexed: 12/14/2022]
Abstract
INTRODUCTION Intravoxel Incoherent Motion (IVIM) MRI is a non-invasive, in vivo techniques which can assess placental perfusion quantitatively, and be useful for evaluating placental microcirculation. Our primary aim was to investigate whether fetal growth restriction (FGR) pregnancies have different placental perfusion and diffusion compared with normal pregnancies using IVIM. A secondary aim was to investigate correlations between placental IVIM parameters and gestational age in normal pregnancy. METHODS This study population included 17 FGR pregnancies and 36 normal pregnancies between 28 + 3 to 38 + 0 weeks. All women underwent a MRI examination including an IVIM sequence with 9 b-values on a 3.0 T MRI system. The standard diffusion coefficeint (D), pseudodiffusion (D*) and perfusion fraction (f) were calculated. RESULTS Placental f was significantly lower in the FGR group than that in the normal group (33.96 ± 2.62(%) vs 38.48 ± 5.31(%), p = 0.002). Placental D and D* in two groups showed no statistical significance (P > 0.05). Placental f moderately increased with increasing gestational age in normal pregnancies (r = 0.411, p = 0.013), and there existed a negative correlation between D values and gestational age (r = -0.390, p = 0.019). DISCUSSION The f values are able to distinguish FGR from normal pregnancies. It can be uses as a feasible index to evaluate placenta perfusion. Gestational age-associated changes in placental IVIM parameters likely reveal trajectories of microvascular perfusion fraction and diffusion characteristics in the normal developing placenta.
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Affiliation(s)
- Xi-Long Liu
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, No. 1838 Guangzhou Avenue North, Guangzhou, 510515, Guangdong, China
| | - Jie Feng
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, No. 1838 Guangzhou Avenue North, Guangzhou, 510515, Guangdong, China
| | - Chan-Tao Huang
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, No. 1838 Guangzhou Avenue North, Guangzhou, 510515, Guangdong, China
| | - Ying-Jie Mei
- Philips Healthcare, Guangzhou, Guangdong, 510055, China
| | - Yi-Kai Xu
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, No. 1838 Guangzhou Avenue North, Guangzhou, 510515, Guangdong, China.
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Placental features of fetal vascular malperfusion and infant neurodevelopmental outcomes at 2 years of age in severe fetal growth restriction. Am J Obstet Gynecol 2021; 225:413.e1-413.e11. [PMID: 33812813 DOI: 10.1016/j.ajog.2021.03.037] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 03/25/2021] [Accepted: 03/29/2021] [Indexed: 11/22/2022]
Abstract
BACKGROUND Placental pathologic lesions suggesting maternal or fetal vascular malperfusion are common among pregnancies complicated by intrauterine growth restriction. Data on the relationship between pathologic placental lesions and subsequent infant neurodevelopmental outcomes are limited. OBJECTIVE This study aimed to assess the relationship between placental pathologic lesions and infant neurodevelopmental outcomes at 2 years of age in a cohort of pregnancies complicated by intrauterine growth restriction. STUDY DESIGN An observational cohort study included singleton intrauterine growth restriction pregnancies delivered at ≤34 weeks' gestation and with a birthweight of ≤1500 g at a single institution in the period between 2007 and 2016. Maternal and neonatal data were collected at discharge from the hospital. Infant neurodevelopmental assessment was performed every 3 months during the first year of life and every 6 months in the second year. Penalized logistic regression was used to test the association of maternal vascular malperfusion and fetal vascular malperfusion with infant outcomes adjusting for confounders. RESULTS Of the 249 pregnancies enrolled, neonatal mortality was 8.8% (22 of 249). Severe and overall maternal vascular malperfusion were 16.1% (40 of 249) and 31.7% (79 of 249), respectively. Severe maternal vascular malperfusion was associated with an increased risk of neonatal mortality (adjusted odds ratio, 3.3; 95% confidence interval, 1.2-9.5). Among the 198 survivors after a 2-year neurodevelopmental follow-up evaluation, the rate of major and minor neurodevelopmental sequelae was 57.1% (4 of 7) among severe fetal vascular malperfusion (adjusted odds ratio, 24.5; 95% confidence interval, 4.1-146), 44.8% (13 of 29) among overall fetal vascular malperfusion (adjusted odds ratio, 5.8; 95% confidence interval, 5.1-16.2), and 7.1% (12 of 169) in pregnancies without fetal vascular malperfusion. Infants born from pregnancies with fetal vascular malperfusion also had lower 2-year general quotient, personal-social, hearing and speech, and performance subscales scores than those without fetal vascular malperfusion. Finally, in the presence of fetal vascular malperfusion, the likelihood of a 2-year infant survival with normal neurodevelopmental outcomes was reduced by more than 70% (adjusted odds ratio, 0.29; 95% confidence interval, 0.14-0.63). Noticeably, 10 of the 20 subjects with a 2-year major neurodevelopmental impairment (3 of 4 with severe fetal vascular malperfusion) had little or no abnormal neurologic findings at discharge from neonatal intensive care unit. CONCLUSION In preterm intrauterine growth restriction, placental fetal vascular malperfusion is correlated with an increased risk of abnormal infant neurodevelopmental outcomes at 2 years of age even in the absence of brain lesions or neurologic abnormalities at discharge from the neonatal intensive care unit. In the case of a diagnosis of fetal vascular malperfusion, pediatricians and neurologists should be alerted to an increased risk of subsequent infant neurodevelopmental problems.
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15
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Andescavage N, Limperopoulos C. Emerging placental biomarkers of health and disease through advanced magnetic resonance imaging (MRI). Exp Neurol 2021; 347:113868. [PMID: 34562472 DOI: 10.1016/j.expneurol.2021.113868] [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: 07/02/2021] [Revised: 09/09/2021] [Accepted: 09/19/2021] [Indexed: 12/12/2022]
Abstract
Placental dysfunction is a major cause of fetal demise, fetal growth restriction, and preterm birth, as well as significant maternal morbidity and mortality. Infant survivors of placental dysfunction are at elevatedrisk for lifelong neuropsychiatric morbidity. However, despite the significant consequences of placental disease, there are no clinical tools to directly and non-invasively assess and measure placental function in pregnancy. In this work, we will review advanced MRI techniques applied to the study of the in vivo human placenta in order to better detail placental structure, architecture, and function. We will discuss the potential of these measures to serve as optimal biomarkers of placental dysfunction and review the evidence of these tools in the discrimination of health and disease in pregnancy. Efforts to advance our understanding of in vivo placental development are necessary if we are to optimize healthy pregnancy outcomes and prevent brain injury in successive generations. Current management of many high-risk pregnancies cannot address placental maldevelopment or injury, given the standard tools available to clinicians. Once accurate biomarkers of placental development and function are constructed, the subsequent steps will be to introduce maternal and fetal therapeutics targeting at optimizing placental function. Applying these biomarkers in future studies will allow for real-time assessments of safety and efficacy of novel interventions aimed at improving maternal-fetal well-being.
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Affiliation(s)
- Nickie Andescavage
- Developing Brain Institute, Department of Radiology, Children's National, Washington DC, USA; Department of Neonatology, Children's National, Washington DC, USA
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16
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Andersen AS, Anderson KB, Hansen DN, Sinding M, Petersen AC, Peters DA, Frøkjær JB, Sørensen A. Placental MRI: Longitudinal relaxation time (T1) in appropriate and small for gestational age pregnancies. Placenta 2021; 114:76-82. [PMID: 34482232 DOI: 10.1016/j.placenta.2021.08.057] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 06/08/2021] [Accepted: 08/05/2021] [Indexed: 01/26/2023]
Abstract
OBJECTIVE The antenatal detection of small for gestational age (SGA) pregnancies is a challenge, which may be improved by placental MRI. The longitudinal relaxation time (T1) is a tissue constant related to tissue morphology and tissue oxygenation, thereby placental T1 may be related to placental function. The aim of this study is to investigate placental T1 in appropriate for gestational age (AGA) and SGA pregnancies. METHODS A total of 132 singleton pregnancies were retrieved from our MRI research database. MRI and ultrasound estimated fetal weight (EFW) was performed at gestational week 20.6-41.7 in a 1.5 T system. SGA was defined as BW ≤ -15% of the expected for gestational age (≤10th centile). A subgroup of SGA pregnancies underwent postnatal placental histological examination (PHE) and abnormal PHE was defined as vascular malperfusion. The placental T1 values were converted into Z-scores adjusted for gestational age at MRI. The predictive performance of placental T1 and EFW was compared by receiver operating curves (ROC). RESULTS In AGA pregnancies, placental T1 showed a negative linear correlation with gestational age (r = -0.36, p = 0.004) Placental T1 was significantly reduced in SGA pregnancies (mean Z-score = -0.34) when compared to AGA pregnancies, p = 0.03. Among SGA pregnancies placental T1 was not reduced in cases with abnormal PHE, p = 0.84. The predictive performance of EFW (AUC = 0.84, 95% CI, 0.77-0.91) was significantly stronger than placental T1 (AUC = 0.62, 95% CI, 0.52-0.72) (p = 0.002). DISCUSSION A low placental T1 relaxation time is associated with SGA at birth. However, the predictive performance of placental T1 is not as strong as EFW.
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Affiliation(s)
- Anna S Andersen
- Department of Obstetrics and Gynecology, Aalborg University Hospital, Reberbansgade 15, 9000, Aalborg, Denmark.
| | - Kristi B Anderson
- Department of Pathology, Aalborg University Hospital, Ladegaardsgade 3, 9000, Aalborg, Denmark.
| | - Ditte N Hansen
- Department of Obstetrics and Gynecology, Aalborg University Hospital, Reberbansgade 15, 9000, Aalborg, Denmark; Department of Clinical Medicine, Aalborg University, Sdr. Skovvej 15, 9000, Aalborg, Denmark.
| | - Marianne Sinding
- Department of Obstetrics and Gynecology, Aalborg University Hospital, Reberbansgade 15, 9000, Aalborg, Denmark; Department of Clinical Medicine, Aalborg University, Sdr. Skovvej 15, 9000, Aalborg, Denmark.
| | - Astrid C Petersen
- Department of Pathology, Aalborg University Hospital, Ladegaardsgade 3, 9000, Aalborg, Denmark.
| | - David A Peters
- Department of Clinical Engineering, Central Denmark Region, Nørrebrogade 44, 8000, Aarhus C, Denmark.
| | - Jens B Frøkjær
- Department of Clinical Medicine, Aalborg University, Sdr. Skovvej 15, 9000, Aalborg, Denmark; Department of Radiology, Aalborg University Hospital, Hobrovej 18-22, 9000, Aalborg, Denmark.
| | - Anne Sørensen
- Department of Obstetrics and Gynecology, Aalborg University Hospital, Reberbansgade 15, 9000, Aalborg, Denmark; Department of Clinical Medicine, Aalborg University, Sdr. Skovvej 15, 9000, Aalborg, Denmark.
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17
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Spinillo A, Dominoni M, Caporali C, Olivieri I, La Piana R, Longo S, Cesari S, Fiandrino G, Orcesi S, Gardella B. Placental Histological Features and Neurodevelopmental Outcomes at Two Years in Very-Low-Birth-Weight Infants. Pediatr Neurol 2021; 120:63-70. [PMID: 34022751 DOI: 10.1016/j.pediatrneurol.2021.04.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 04/11/2021] [Accepted: 04/11/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND We evaluated the rates of placental pathologic lesions and their relationship with two-year neurodevelopmental outcomes in very-low-birth-weight (VLBW) infants. METHODS This is a cohort observational study comprising 595 VLBW infants during 2007 to 2015. Neurodevelopmental assessment was carried out at 24 months corrected age. RESULTS In univariate analysis the rates of survival with normal neurodevelopmental outcomes were lower in pregnancies with severe histologic chorioamnionitis (38 of 43, 88.4% when compared with 305 of 450, 67.8%), severe maternal vascular malperfusion (MVM) (17 of 37, 45.9% when compared with 326/492, 66.3%), and intravillous hemorrhage (37 of 82, 45.1% when compared with 306 of 449, 68.1%). In logistic models, severe MVM (adjusted odds ratio [adj. OR] = 0.45, 95% confidence interval [CI] = 0.22 to 0.92), severe fetal vascular malperfusion (FVM) (adj. OR = 0.46, 95% CI = 0.22 to 0.45), and intravillous hemorrhage (adj. OR = 0.38, 95% CI = 0.22 to 0.62) were associated with lower rates of infant survival with normal neurodevelopmental outcome. FVM (adj. OR = 0.46, 95% CI = 0.21 to 0.97) and intravillous hemorrhage (adj. OR = 0.37, 95% CI = 0.22 to 0.62) were also the only placental lesions that were independent predictors of a lower rate of intact survival in stepwise analysis for prognostic factors of the entire cohort. CONCLUSIONS Placental pathologic findings such as severe MVM, FVM, and intravillous hemorrhage are significant predictors of neonatal survival and subsequent adverse neurodevelopmental outcomes. Data on the placental pathology could be useful in the neurodevelopmental follow-up of VLBW infants.
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Affiliation(s)
- Arsenio Spinillo
- Department of Obstetrics and Gynecology, IRCCS Foundation Policlinico San Matteo and University of Pavia, Pavia, Italy; Department of Clinical, Surgical, Diagnostic and Paediatric Sciences, University of Pavia, Pavia, Italy
| | - Mattia Dominoni
- Department of Clinical, Surgical, Diagnostic and Paediatric Sciences, University of Pavia, Pavia, Italy
| | - Camilla Caporali
- Child Neurology and Psychiatry Unit, IRCCS Mondino Foundation, Pavia, Italy; Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Ivana Olivieri
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Roberta La Piana
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Stefania Longo
- Neonatal Unit and Neonatal Intensive Care Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Stefania Cesari
- Department of Pathology, IRCCS Foundation Policlinico San Matteo, Pavia, Italy
| | - Giacomo Fiandrino
- Department of Pathology, IRCCS Foundation Policlinico San Matteo, Pavia, Italy
| | - Simona Orcesi
- Child Neurology and Psychiatry Unit, IRCCS Mondino Foundation, Pavia, Italy; Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Barbara Gardella
- Department of Obstetrics and Gynecology, IRCCS Foundation Policlinico San Matteo and University of Pavia, Pavia, Italy; Department of Clinical, Surgical, Diagnostic and Paediatric Sciences, University of Pavia, Pavia, Italy.
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Slator PJ, Hutter J, Marinescu RV, Palombo M, Jackson LH, Ho A, Chappell LC, Rutherford M, Hajnal JV, Alexander DC. Data-Driven multi-Contrast spectral microstructure imaging with InSpect: INtegrated SPECTral component estimation and mapping. Med Image Anal 2021; 71:102045. [PMID: 33934005 PMCID: PMC8543043 DOI: 10.1016/j.media.2021.102045] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 02/08/2021] [Accepted: 03/16/2021] [Indexed: 11/19/2022]
Abstract
Unsupervised learning technique for spectroscopic analysis of quantitative MRI. Shares information across voxels to improve estimation of multi-dimensional or single-dimensional spectra. Spectral maps are dramatically improved compared to existing approaches. Can potentially identify and map tissue environments; in placental diffusion-relaxometry MRI we demonstrate that it identifies components that correspond to distinct tissue types.
We introduce and demonstrate an unsupervised machine learning technique for spectroscopic analysis of quantitative MRI experiments. Our algorithm supports estimation of one-dimensional spectra from single-contrast data, and multidimensional correlation spectra from simultaneous multi-contrast data. These spectrum-based approaches allow model-free investigation of tissue properties, but require regularised inversion of a Laplace transform or Fredholm integral, which is an ill-posed calculation. Here we present a method that addresses this limitation in a data-driven way. The algorithm simultaneously estimates a canonical basis of spectral components and voxelwise maps of their weightings, thereby pooling information across whole images to regularise the ill-posed problem. We show in simulations that our algorithm substantially outperforms current voxelwise spectral approaches. We demonstrate the method on multi-contrast diffusion-relaxometry placental MRI scans, revealing anatomically-relevant sub-structures, and identifying dysfunctional placentas. Our algorithm vastly reduces the data required to reliably estimate spectra, opening up the possibility of quantitative MRI spectroscopy in a wide range of new applications. Our InSpect code is available at github.com/paddyslator/inspect.
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Affiliation(s)
- Paddy J Slator
- Centre for Medical Image Computing, Department of Computer Science, University College London, UK.
| | - Jana Hutter
- Centre for the Developing Brain, Kings College London, London, UK; Biomedical Engineering Department, Kings College London, London, UK
| | - Razvan V Marinescu
- Centre for Medical Image Computing, Department of Computer Science, University College London, UK
| | - Marco Palombo
- Centre for Medical Image Computing, Department of Computer Science, University College London, UK
| | - Laurence H Jackson
- Centre for the Developing Brain, Kings College London, London, UK; Biomedical Engineering Department, Kings College London, London, UK
| | - Alison Ho
- Women's Health Department, King's College London, London, UK
| | - Lucy C Chappell
- Women's Health Department, King's College London, London, UK
| | - Mary Rutherford
- Centre for the Developing Brain, Kings College London, London, UK
| | - Joseph V Hajnal
- Centre for the Developing Brain, Kings College London, London, UK; Biomedical Engineering Department, Kings College London, London, UK
| | - Daniel C Alexander
- Centre for Medical Image Computing, Department of Computer Science, University College London, UK
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Guo B, Ouyang F, Ouyang L, Huang X, Guo T, Lin S, Liu Z, Zhang R, Yang SM, Chen H, Hu QG. Intravoxel Incoherent Motion Magnetic Resonance Imaging for Prediction of Induction Chemotherapy Response in Locally Advanced Hypopharyngeal Carcinoma: Comparison With Model-Free Dynamic Contrast-Enhanced Magnetic Resonance Imaging. J Magn Reson Imaging 2021; 54:91-100. [PMID: 33576125 DOI: 10.1002/jmri.27537] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2020] [Revised: 01/05/2021] [Accepted: 01/06/2021] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND Multiparametric intravoxel incoherent motion (IVIM) provides diffusion and perfusion information for the treatment prediction of cancer. However, the superiority of IVIM over dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) in locally advanced hypopharyngeal carcinoma (LAHC) remains unclear. PURPOSE To compare the diagnostic performance of IVIM and model-free DCE in assessing induction chemotherapy (IC) response in patients with LAHC. STUDY TYPE Prospective. POPULATION Forty-two patients with LAHC. FIELD STRENGTH/SEQUENCE 3.0 T MRI, including IVIM (12 b values, 0-800 seconds/mm2 ) with a single-shot echo planar imaging sequence and DCE-MRI with a volumetric interpolated breath-hold examination sequence. IVIM MRI is a commercially available sequence and software for calculation and analysis from vendor. ASSESSMENT The IVIM-derived parameters (diffusion coefficient [D], pseudodiffusion coefficient [D*], and perfusion fraction [f]) and DCE-derived model-free parameters (Wash-in, time to maximum enhancement [Tmax], maximum enhancement [Emax], area under enhancement curve [AUC] over 60 seconds [AUC60 ], and whole area under enhancement curve [AUCw ]) were measured. At the end of IC, patients with complete or partial response were classified as responders according to the Response Evaluation Criteria in Solid Tumors. STATISTICAL TESTS The differences of parameters between responders and nonresponders were assessed using Mann-Whitney U tests. The performance of parameters for predicting IC response was evaluated by the receiver operating characteristic curves. RESULTS Twenty-three (54.8%) patients were classified as responders. Compared with nonresponders, the perfusion parameters D*, f, f × D*, and AUCw were significantly higher whereas Wash-in was lower in responders (all P-values <0.05). The f × D* outperformed other parameters, with an AUC of 0.84 (95% confidence interval [CI]: 0.69-0.93), sensitivity of 79.0% (95% CI: 54.4-93.9), and specificity of 82.6% (95% CI: 61.2-95.0). DATA CONCLUSION The IVIM MRI technique may noninvasively help predict the IC response before treatment in patients with LAHC. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Baoliang Guo
- Department of Radiology, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, China
| | - Fusheng Ouyang
- Department of Radiology, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, China
| | - Lizhu Ouyang
- Department of Ultrasound, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, China
| | - Xiyi Huang
- Department of Clinical Laboratory, The Affiliated Shunde Hospital of Guangzhou, Medical University, Foshan, China
| | - Tiandi Guo
- Department of Radiology, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, China
| | - Shaojia Lin
- Department of Radiology, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, China
| | - Ziwei Liu
- Department of Radiology, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, China
| | - Rong Zhang
- Department of Radiology, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, China
| | - Shao-Min Yang
- Department of Radiology, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, China
| | - Haixiong Chen
- Department of Radiology, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, China
| | - Qiu-Gen Hu
- Department of Radiology, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, China
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