Differentiation of placenta percreta through MRI features and diffusion-weighted magnetic resonance imaging

被引:5
作者
Li, Hang [1 ]
Lu, Tao [1 ]
Li, Mou [1 ]
Wang, Yishuang [1 ]
Zhang, Feng [1 ]
Yuan, Yi [1 ]
Zhu, Meilin [1 ]
Zhao, Xinyi [1 ]
机构
[1] Univ Elect Sci & Technol China, Sichuan Prov Peoples Hosp, Dept Radiol, 32 West Second Sect,First Ring Rd, Chengdu 610072, Peoples R China
关键词
Placenta accreta spectrum disorders; Diffusion-weighted MRI; Intravoxel incoherent motion; Diffusion kurtosis imaging; INVASIVE PLACENTA; ACCRETA SPECTRUM; PREVIA; KURTOSIS;
D O I
10.1186/s13244-023-01448-z
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
ObjectivesTo identify whether parameters measured from diffusion kurtosis and intravoxel incoherent motion help diagnose placenta percreta.MethodsWe retrospectively enrolled 75 patients with PAS disorders including 13 patients with placenta percreta and 40 patients without PAS disorders. Each patients underwent diffusion-weighted imaging (DWI), intravoxel incoherent motion (IVIM), and diffusion kurtosis imaging (DKI). The apparent diffusion coefficient (ADC), perfusion fraction (f), pure diffusion coefficient (D), pseudo-diffusion coefficient (D*), mean diffusion kurtosis (MK) and mean diffusion coefficient (MD) were measured by the volumetric analysis and compared. MRI features were also analyzed and compared. The receiver operating characteristic (ROC) curve and logistic regression analysis were used to evaluate the diagnostic efficiency of different diffusion parameters and MRI features for distinguishing placental percreta.ResultsD* was an independent risk factor from DWI for predicting placenta percreta with sensitivity of 73% and specificity of 76%. Focal exophytic mass remained as independent risk factor from MRI features for predicting placenta percreta with sensitivity of 72.7% and specificity of 88.1%. When the two risk factors were combined together, the AUC was the highest, 0.880 (95% CI 0.8-0.96).ConclusionD* and focal exophytic mass were associated with placenta percreta. A combination of the 2 risk factors can be used to predict placenta percreta.Critical relevance statementA combination of D* and focal exophytic mass can be used to differentiate placenta percreta.
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页数:14
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  • [1] Diagnostic performance of radiologists with different levels of experience in the interpretation of MRI of the placenta accreta spectrum disorder
    Almeida Ghezzi, Caroline Lorenzoni
    Silva, Cristiano Kohler
    Casagrande, Aline Spader
    Westphalen, Stephanie Sander
    Salazar, Cristiano Caetano
    Vettorazzi, Janete
    [J]. BRITISH JOURNAL OF RADIOLOGY, 2021, 94 (1128)
  • [2] MRI Features Predictive of Invasive Placenta With Extrauterine Spread in High-Risk Gravid Patients: A Prospective Evaluation
    Bourgioti, Charis
    Zafeiropoulou, Konstantina
    Fotopoulos, Stavros
    Nikolaidou, Maria Evangelia
    Antoniou, Aristeidis
    Tzavara, Chara
    Moulopoulos, Lia Angela
    [J]. AMERICAN JOURNAL OF ROENTGENOLOGY, 2018, 211 (03) : 701 - 711
  • [3] Abnormal vascular architecture at the placental-maternal interface in placenta increta
    Chantraine, Frederic
    Blacher, Silvia
    Berndt, Sarah
    Palacios-Jaraquemada, Jose
    Sarioglu, Nanette
    Nisolle, Michelle
    Braun, Thorsten
    Munaut, Carine
    Foidart, Jean-Michel
    [J]. AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 2012, 207 (03) : 188.e1 - 188.e9
  • [4] Invasive placenta previa: Placental bulge with distorted uterine outline and uterine serosal hypervascularity at 1.5T MRI - useful features for differentiating placenta percreta from placenta accreta
    Chen, Xin
    Shan, Ruiqin
    Zhao, Lianxin
    Song, Qingxu
    Zuo, Changting
    Zhang, Xinjuan
    Wang, Shanshan
    Shi, Honglu
    Gao, Fei
    Qian, Tianyi
    Wang, Guangbin
    Limperopoulos, Catherine
    [J]. EUROPEAN RADIOLOGY, 2018, 28 (02) : 708 - 717
  • [5] Whole-tumour diffusion kurtosis MR imaging histogram analysis of rectal adenocarcinoma: Correlation with clinical pathologic prognostic factors
    Cui, Yanfen
    Yang, Xiaotang
    Du, Xiaosong
    Zhuo, Zhizheng
    Xin, Lei
    Cheng, Xintao
    [J]. EUROPEAN RADIOLOGY, 2018, 28 (04) : 1485 - 1494
  • [6] Non-Gaussian diffusion imaging: a brief practical review
    De Santis, Silvia
    Gabrielli, Andrea
    Palombo, Marco
    Maraviglia, Bruno
    Capuani, Silvia
    [J]. MAGNETIC RESONANCE IMAGING, 2011, 29 (10) : 1410 - 1416
  • [7] Differentiating between malignant and benign renal tumors: do IVIM and diffusion kurtosis imaging perform better than DWI?
    Ding, Yuqin
    Tan, Qinxuan
    Mao, Wei
    Dai, Chenchen
    Hu, Xiaoyi
    Hou, Jun
    Zeng, Mengsu
    Zhou, Jianjun
    [J]. EUROPEAN RADIOLOGY, 2019, 29 (12) : 6930 - 6939
  • [8] Diagnostic accuracy of magnetic resonance imaging in detecting the severity of abnormal invasive placenta: a systematic review and meta-analysis
    Familiari, Alessandra
    Liberati, Marco
    Lim, Philip
    Pagani, Giorgio
    Cali, Giuseppe
    Buca, Danilo
    Manzoli, Lamberto
    Flacco, Maria E.
    Scambia, Giovanni
    D'antonio, Francesco
    [J]. ACTA OBSTETRICIA ET GYNECOLOGICA SCANDINAVICA, 2018, 97 (05) : 507 - 520
  • [9] Placental MRI
    Gowland, P
    [J]. SEMINARS IN FETAL & NEONATAL MEDICINE, 2005, 10 (05) : 485 - 490
  • [10] Placenta accreta spectrum: pathophysiology and evidence-based anatomy for prenatal ultrasound imaging
    Jauniaux, Eric
    Collins, Sally
    Burton, Graham J.
    [J]. AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 2018, 218 (01) : 75 - 87