Behnaz Moradi, Elnaz Tabibian, Mohammad Ali Kazemi, Mahboobeh Shirazi, Mohammadreza Chavoshi, Sina Rashedi
{"title":"基于胎盘磁共振成像检测宫内生长受限和胎盘功能不全严重程度的诊断模型。","authors":"Behnaz Moradi, Elnaz Tabibian, Mohammad Ali Kazemi, Mahboobeh Shirazi, Mohammadreza Chavoshi, Sina Rashedi","doi":"10.5114/pjr.2023.126224","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>We aimed to provide diagnostic models based on different parameters of placental magnetic resonance imaging (MRI) to detect intrauterine growth restriction (IUGR), as well as the severity of placental insufficiency.</p><p><strong>Material and methods: </strong>We included 44 foetuses with appropriate weight for gestational age (AGA) and 46 foetuses with documented IUGR, defined as the estimated foetal weight (EFW) below the 10<sup>th</sup> centile. Using Doppler ultrasound, IUGR cases were divided into 2 groups: 1) IUGR with severity signs: EFW < 3<sup>rd</sup> centile, or cerebroplacental ratio < 5<sup>th</sup> centile, or abnormal umbilical/uterine artery pulsatility index; and 2) non-severe IUGR without any of this criterion. For all these participants, placental MRI was performed in the third gestational trimester, and its parameters were compared between AGA and IUGR, as well as between the severe and non-severe IUGR groups. Two diagnostic models consisting of significant predictors were developed, and their performance was investigated with accuracy metrics.</p><p><strong>Results: </strong>The severity signs were detected in 25 (54.3%) IUGR cases. The diagnostic model for the differentiation of IUGR from AGA revealed an acceptable performance (area under the curve [AUC] of 0.749) and consisted of 2 variables: 1) the largest size of infarct ≥ 25 mm (odds ratio [OR] = 5.01, <i>p</i> = 0.001), and 2) thickness : volume ratio ≥ 0.043 (OR = 3.76, <i>p</i> = 0.027); while, the logistic regression model for detection of the severity signs was even better, with AUC = 0.862, and comprised of 2 predictors: 1) placental infarct percent ≥ 10% (OR = 26.73, <i>p</i> = 0.004), and 2) placental globular shape (OR = 5.40, <i>p</i> = 0.034).</p><p><strong>Conclusions: </strong>Placental MRI parameters can differentiate IUGR from AGA, and more precisely, assess the severity of placental insufficiency in IUGR foetuses.</p>","PeriodicalId":47128,"journal":{"name":"Polish Journal of Radiology","volume":null,"pages":null},"PeriodicalIF":0.9000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/c9/0f/PJR-88-50436.PMC10086608.pdf","citationCount":"0","resultStr":"{\"title\":\"Diagnostic models for the detection of intrauterine growth restriction and placental insufficiency severity based on magnetic resonance imaging of the placenta.\",\"authors\":\"Behnaz Moradi, Elnaz Tabibian, Mohammad Ali Kazemi, Mahboobeh Shirazi, Mohammadreza Chavoshi, Sina Rashedi\",\"doi\":\"10.5114/pjr.2023.126224\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>We aimed to provide diagnostic models based on different parameters of placental magnetic resonance imaging (MRI) to detect intrauterine growth restriction (IUGR), as well as the severity of placental insufficiency.</p><p><strong>Material and methods: </strong>We included 44 foetuses with appropriate weight for gestational age (AGA) and 46 foetuses with documented IUGR, defined as the estimated foetal weight (EFW) below the 10<sup>th</sup> centile. Using Doppler ultrasound, IUGR cases were divided into 2 groups: 1) IUGR with severity signs: EFW < 3<sup>rd</sup> centile, or cerebroplacental ratio < 5<sup>th</sup> centile, or abnormal umbilical/uterine artery pulsatility index; and 2) non-severe IUGR without any of this criterion. For all these participants, placental MRI was performed in the third gestational trimester, and its parameters were compared between AGA and IUGR, as well as between the severe and non-severe IUGR groups. Two diagnostic models consisting of significant predictors were developed, and their performance was investigated with accuracy metrics.</p><p><strong>Results: </strong>The severity signs were detected in 25 (54.3%) IUGR cases. The diagnostic model for the differentiation of IUGR from AGA revealed an acceptable performance (area under the curve [AUC] of 0.749) and consisted of 2 variables: 1) the largest size of infarct ≥ 25 mm (odds ratio [OR] = 5.01, <i>p</i> = 0.001), and 2) thickness : volume ratio ≥ 0.043 (OR = 3.76, <i>p</i> = 0.027); while, the logistic regression model for detection of the severity signs was even better, with AUC = 0.862, and comprised of 2 predictors: 1) placental infarct percent ≥ 10% (OR = 26.73, <i>p</i> = 0.004), and 2) placental globular shape (OR = 5.40, <i>p</i> = 0.034).</p><p><strong>Conclusions: </strong>Placental MRI parameters can differentiate IUGR from AGA, and more precisely, assess the severity of placental insufficiency in IUGR foetuses.</p>\",\"PeriodicalId\":47128,\"journal\":{\"name\":\"Polish Journal of Radiology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/c9/0f/PJR-88-50436.PMC10086608.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Polish Journal of Radiology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5114/pjr.2023.126224\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Polish Journal of Radiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5114/pjr.2023.126224","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0
摘要
目的:建立基于胎盘磁共振成像(MRI)不同参数的诊断模型,检测宫内生长受限(IUGR)及胎盘功能不全的严重程度。材料和方法:我们纳入了44例符合胎龄体重(AGA)的胎儿和46例记录在案的IUGR胎儿,IUGR定义为估计胎儿体重(EFW)低于10百分位。多普勒超声将IUGR病例分为两组:1)IUGR有严重症状:EFW <第3百分位,或脑胎盘比<第5百分位,或脐/子宫动脉搏动指数异常;2)没有上述任何标准的非严重IUGR。对于所有这些参与者,在妊娠晚期进行胎盘MRI检查,并比较AGA和IUGR以及严重和非严重IUGR组之间的参数。开发了两种由显著预测因子组成的诊断模型,并使用准确性指标对其性能进行了调查。结果:25例(54.3%)IUGR患者检出严重体征。鉴别IUGR和AGA的诊断模型表现良好(曲线下面积[AUC]为0.749),由2个变量组成:1)最大梗死面积≥25 mm(优势比[OR] = 5.01, p = 0.001), 2)厚度:体积比≥0.043 (OR = 3.76, p = 0.027);而检测严重程度体征的logistic回归模型则更好,AUC = 0.862,由2个预测因子组成:1)胎盘梗死百分比≥10% (OR = 26.73, p = 0.004)和2)胎盘球形形状(OR = 5.40, p = 0.034)。结论:胎盘MRI参数可以区分IUGR和AGA,更准确地评估IUGR胎儿胎盘功能不全的严重程度。
Diagnostic models for the detection of intrauterine growth restriction and placental insufficiency severity based on magnetic resonance imaging of the placenta.
Purpose: We aimed to provide diagnostic models based on different parameters of placental magnetic resonance imaging (MRI) to detect intrauterine growth restriction (IUGR), as well as the severity of placental insufficiency.
Material and methods: We included 44 foetuses with appropriate weight for gestational age (AGA) and 46 foetuses with documented IUGR, defined as the estimated foetal weight (EFW) below the 10th centile. Using Doppler ultrasound, IUGR cases were divided into 2 groups: 1) IUGR with severity signs: EFW < 3rd centile, or cerebroplacental ratio < 5th centile, or abnormal umbilical/uterine artery pulsatility index; and 2) non-severe IUGR without any of this criterion. For all these participants, placental MRI was performed in the third gestational trimester, and its parameters were compared between AGA and IUGR, as well as between the severe and non-severe IUGR groups. Two diagnostic models consisting of significant predictors were developed, and their performance was investigated with accuracy metrics.
Results: The severity signs were detected in 25 (54.3%) IUGR cases. The diagnostic model for the differentiation of IUGR from AGA revealed an acceptable performance (area under the curve [AUC] of 0.749) and consisted of 2 variables: 1) the largest size of infarct ≥ 25 mm (odds ratio [OR] = 5.01, p = 0.001), and 2) thickness : volume ratio ≥ 0.043 (OR = 3.76, p = 0.027); while, the logistic regression model for detection of the severity signs was even better, with AUC = 0.862, and comprised of 2 predictors: 1) placental infarct percent ≥ 10% (OR = 26.73, p = 0.004), and 2) placental globular shape (OR = 5.40, p = 0.034).
Conclusions: Placental MRI parameters can differentiate IUGR from AGA, and more precisely, assess the severity of placental insufficiency in IUGR foetuses.