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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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贾 阳, 鲍 莉, 徐 蓉, 谢 林, 叶 璐, 郭 应, 陈 慧. [Application of Fetal Magnetic Resonance Imaging in Prognosis Assessment of Fetuses With Congenital Pulmonary Cystic Diseases]. SICHUAN DA XUE XUE BAO. YI XUE BAN = JOURNAL OF SICHUAN UNIVERSITY. MEDICAL SCIENCE EDITION 2024; 55:717-723. [PMID: 38948284 PMCID: PMC11211790 DOI: 10.12182/20240560109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Indexed: 07/02/2024]
Abstract
Objective The aim of this study is to explore the practical value of prenatal magnetic resonance imaging (MRI) in the assessment of congenital cystic lung disease in fetuses, to evaluate the relative size of the lesion and the status of lung development, and to make an attempt at utilizing the strength of MRI in post-processing to obtain assessment indicators of the size of the lesion and the status of lung development, with which predictions can be made for the prognosis that these fetuses may face after birth. We retrospectively collected and analyzed the data of fetuses diagnosed with congenital cystic lung disease. Prenatal ultrasound examination of these fetuses led to the diagnosis that they were suspected of having congenital cystic lung disease and the diagnosis was confirmed by subsequent prenatal MRI. The fetuses were followed up to track their condition at birth (postnatal respiratory distress, mechanical ventilation, etc.), whether the fetuses underwent surgical treatment, and the recovery of the fetuses after surgical treatment. The recovery of the fetuses was followed up to explore the feasibility of prenatal MRI examination to assess fetal congenital pulmonary cystic disease, and to preliminarily explore the predictive value of prenatal MRI for the prognosis of fetuses with congenital pulmonary cystic disease. Methods MRI fetal images were collected from pregnant women who attended the West China Second University Hospital of Sichuan University between May 2018 and March 2023 and who were diagnosed with fetal congenital pulmonary cystic disease by prenatal ultrasound and subsequent MRI. Fetal MRI images of congenital cystic lung disease were post-processed to obtain the fetal lung lesion volume, the fetal affected lung volume, the healthy lung volume, and the fetal head circumference measurements. The signal intensity of both lungs and livers, the lesion volume/the affected lung volume, the lesion volume/total lung volume, the cystic volume ratio (CVR), and the bilateral lung-liver signal intensity ratio were measured. The feasibility and value of MRI post-processing acquisition indexes for evaluating the prognosis of fetuses with congenital cystic lung disease were further analyzed by combining the follow-up results obtained 6 months after the birth of the fetus. Logistic regression models were used to quantify the differences in maternal age, gestational week at the time of MRI, CVR, and bilateral lung-to-liver signal intensity ratio, and to assess whether these metrics correlate with poor prognosis. Receiver operating characteristic (ROC) curves were used to assess the value of the parameters obtained by MRI calculations alone and in combination with multiple metrics for predicting poor prognosis after birth. Results We collected a total of 67 cases of fetuses diagnosed with congenital cystic lung disease by fetal MRI between May 2018 and March 2023, and excluded 6 cases with no normal lung tissue in the affected lungs, 11 cases of fetal induction, and 3 cases of loss of pregnancy. In the end, 47 cases of fetuses with congenital cystic lung disease were included, of which 30 cases had a good prognosis and 17 cases had a poor prognosis. The difference in the difference between the signal intensity ratios of the affected and healthy sides of the lungs and livers of the fetuses in the good prognosis group and that in the poor prognosis group was statistically significant (P<0.05), and the signal intensity ratio of the healthy side of the lungs and livers was higher than the signal intensity ratio of the affected side of the lungs and livers. Further analysis showed that CVR (odds ratio [OR]=1.058, 95% confidence interval [CI]: 1.014-1.104), and the difference between the lung-to-liver signal intensity ratios of the affected and healthy sides (OR=0.814, 95% CI: 0.700-0.947) were correlated with poor prognosis of birth in fetuses with congenital cystic lung disease. In addition, ROC curve analysis showed that the combined application of lesion volume/affected lung volume and the observed difference in the signal intensity ratio between the affected and healthy lungs and liver predicted the prognosis of children with congenital cystic lung disease more accurately than the single-parameter judgment did, with the area under the curve being 0.988, and the cut-off value being 0.33, which corresponded to a sensitivity of 100%, a specificity of 93.3%, and a 95% CI of 0.966-1.000. Conclusions Based on the MRI of fetuses with congenital cystic lung disease, we obtained information on lesion volume, lesion volume/affected lung volume, lesion volume/total lung volume, CVR, and bilateral lung-to-liver signal intensity ratio difference, all of which showing some clinical value in predicting the poor prognosis in fetuses with congenital cystic lung disease. Furthermore, among the combined indexes, the lesion volume/affected lung volume and bilateral lung-to-liver signal intensity ratio difference are more effective predictors for the poor prognosis of fetuses with congenital cystic lung disease, and show better efficacy in predicting the poor prognosis of fetuses with congenital cystic lung disease. This provides a new and effective predictive method for further assessment of pulmonary lung development in fetuses with congenital cystic lung disease, and helps improve the assessment and prediction of the prognosis of fetuses with congenital cystic lung disease.
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Affiliation(s)
- 阳 贾
- 四川大学华西第二医院 放射科 (成都 610041)Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu 610041, China
- 出生缺陷与相关妇儿疾病教育部重点实验室(四川大学) (成都 610041)Key Laboratory of Birth Defects and Related Diseases of Women and Children of the Ministry of Education, Ministry of Education, Chengdu 610041, China
| | - 莉 鲍
- 四川大学华西第二医院 放射科 (成都 610041)Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu 610041, China
- 出生缺陷与相关妇儿疾病教育部重点实验室(四川大学) (成都 610041)Key Laboratory of Birth Defects and Related Diseases of Women and Children of the Ministry of Education, Ministry of Education, Chengdu 610041, China
| | - 蓉 徐
- 四川大学华西第二医院 放射科 (成都 610041)Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu 610041, China
- 出生缺陷与相关妇儿疾病教育部重点实验室(四川大学) (成都 610041)Key Laboratory of Birth Defects and Related Diseases of Women and Children of the Ministry of Education, Ministry of Education, Chengdu 610041, China
| | - 林均 谢
- 四川大学华西第二医院 放射科 (成都 610041)Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu 610041, China
- 出生缺陷与相关妇儿疾病教育部重点实验室(四川大学) (成都 610041)Key Laboratory of Birth Defects and Related Diseases of Women and Children of the Ministry of Education, Ministry of Education, Chengdu 610041, China
| | - 璐 叶
- 四川大学华西第二医院 放射科 (成都 610041)Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu 610041, China
- 出生缺陷与相关妇儿疾病教育部重点实验室(四川大学) (成都 610041)Key Laboratory of Birth Defects and Related Diseases of Women and Children of the Ministry of Education, Ministry of Education, Chengdu 610041, China
| | - 应坤 郭
- 四川大学华西第二医院 放射科 (成都 610041)Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu 610041, China
- 出生缺陷与相关妇儿疾病教育部重点实验室(四川大学) (成都 610041)Key Laboratory of Birth Defects and Related Diseases of Women and Children of the Ministry of Education, Ministry of Education, Chengdu 610041, China
| | - 慧 陈
- 四川大学华西第二医院 放射科 (成都 610041)Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu 610041, China
- 出生缺陷与相关妇儿疾病教育部重点实验室(四川大学) (成都 610041)Key Laboratory of Birth Defects and Related Diseases of Women and Children of the Ministry of Education, Ministry of Education, Chengdu 610041, China
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Moradi B, Habibi Z, Badraqe N, Rahmani M, Shirazi M, Sharbaf FR, Azadbakht J, Farnoosh A, Parooie F, Miratashi Yazdi SN. Postmortem Magnetic Resonance Imaging of In Utero Fetuses and Its Relationship With Postmortem Interval: A Multi-Organ Observational Study on Reduced Fetuses of Complicated Multiple Pregnancies. J Magn Reson Imaging 2023; 57:952-961. [PMID: 36054250 DOI: 10.1002/jmri.28388] [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: 03/18/2022] [Revised: 07/10/2022] [Accepted: 07/11/2022] [Indexed: 11/08/2022] Open
Abstract
BACKGROUND Despite technological advancements in perinatal imaging, autopsy examination is still regarded as the reference standard to determine the time and reason of the fetal death. PURPOSE This study was conducted to identify the intrauterine postmortem magnetic resonance imaging (PMMR) findings of fetuses, who underwent radiofrequency ablation (RFA). STUDY TYPE Prospective. POPULATION Fifty-three twin/triplet complicated pregnancies scheduled for selective reduction of one of the fetuses by RFA were included. FIELD STRENGTH/SEQUENCE The imaging methods used are T1-weighted gradient-echo imaging (T1 GRE), T2 half-Fourier acquisition single-shot turbo spin-echo (SSTSE), and diffusion-weighted imaging (DWI) sequences. ASSESSMENT The MRIs were interpreted by three radiologists. STATISTICAL TESTS Data were analyzed using the software package SPSS Statistics Version 22.0. The used tests included one-way analysis of variance (ANOVA) and Duncan tests (significance level: P value <0.05). This analysis was performed with scikit-learn library (version 1.1.1) in Python version 3.9. RESULTS Average PMMR scores of orbit, brain, and abdomen showed significant differences among different PM interval subgroups. The brain apparent diffusion coefficient (ADC) numbers of reduced and living fetuses were significantly different at any PM interval. To determine which findings are closely associated with the timing of fetal death, five different methods of feature selection were employed. The top eight selected features achieved the highest area under the curve (AUC) of 78.19%. DATA CONCLUSION In utero, PMMR findings may be associated with the time of fetal death. Among different fetal organs evaluated, particularly PMMR top eight features specifically scores of orbits were associated with PM intrauterine time after death. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Behnaz Moradi
- Department of Radiology, Yas Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran.,Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Medical Imaging Center, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
| | - Zahra Habibi
- Department of Radiology, Sina General Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Narges Badraqe
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Medical Imaging Center, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
| | - Maryam Rahmani
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Medical Imaging Center, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahboobeh Shirazi
- Maternal, Fetal, and Neonatal Research Center, Yas Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh R Sharbaf
- Maternal, Fetal, and Neonatal Research Center, Yas Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
| | - Javid Azadbakht
- Department of Radiology, Faculty of Medicine, Kashan University of Medical Sciences, Kashan, Iran
| | - Amirreza Farnoosh
- Department of Electrical Engineering, Northeastern University, Boston, Massachusetts, USA
| | - Fateme Parooie
- Pediatric Gastroenterology and Hepatology Research Center, Zabol University of Medical Sciences, Zabol, Iran
| | - Seyedeh N Miratashi Yazdi
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Medical Imaging Center, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
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