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Assessing reproducibility in Magnetic Resonance (MR) Radiomics features between Deep-Learning segmented and Expert Manual segmented data and evaluating their diagnostic performance in Pregnant Women with suspected Placenta Accreta Spectrum (PAS)

机译：评估磁共振的再现性（MR）adioMICS在深度学习细分和专家手册分段数据之间的特征，并评估妊娠胎盘孕妇的孕妇诊断性能（PAS）

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A Deep-Learning (DL) based segmentation tool was applied to a new magnetic resonance imaging dataset of pregnant women with suspected Placenta Accreta Spectrum (PAS). Radiomic features from DL segmentation were compared to those from expert manual segmentation via intraclass correlation coefficients (ICC) to assess reproducibility. An additional imaging marker quantifying the placental location within the uterus (PLU) was included. Features with an ICC ＞ 0.7 were used to build logistic regression models to predict hysterectomy. Of 2059 features. 781 (37.9%) had ICC ＞0.7. AUC was 0.69 (95% CI 0.63-0.74) for manually segmented data and 0.78 (95% CI 0.73-0.83) for DL segmented data.

机译：基于深度学习（DL）的分割工具应用于患有妊娠胎盘的孕妇的新磁共振成像数据集（PAS）。将来自DL分段的辐射瘤特征与通过脑内相关系数（ICC）的专家手动分段进行比较，以评估再现性。包括量化UTERUS（PLU）内的胎盘位置的附加成像标记。具有ICC> 0.7的功能用于构建Logistic回归模型以预测子宫切除术。 2059个功能。 781（37.9％）有ICC> 0.7。对于DL分段数据，AUC为手动分段数据和0.78（95％CI 0.73-0.83）的0.69（95％CI 0.63-0.74）。

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《Conference on Medical Imaging: Computer-Aided Diagnosis》|2021年|115972P.1-115972P.8|共8页
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Yin Xi; Maysam Shahedi; Quyen N. Do; James Dormer; Matthew A. Lewis; Baowei Fei; Catherine Y. Spong; Ananth J. Madhuranthakam; Diane M. Twickler;
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1. Diagnostic value of ultrasonography and magnetic resonance imaging in pregnant women at risk for placenta accreta [J] . ElhawaryT.M., DabeesN.L., YoussefM.A. The journal of maternal-fetal & neonatal medicine . 2013,第13a14期

机译：超声和磁共振成像对有胎盘积压危险的孕妇的诊断价值
2. Utility of magnetic resonance imaging for placenta accreta spectrum (PAS) disorders [J] . Gabriel Levin, Amihai Rottenstreich Abdominal radiology. . 2019,第8期

机译：胎盘AccReta谱（PAS）紊乱磁共振成像的效用
3. Association between clinical signs assessed by manual segmental examination and findings of the lumbar facet joints on magnetic resonance scans in subjects with and without current low back pain: A prospective, single-blind study [J] . MainkaT., LemburgS.P., HeyerC.M., Pain. . 2013,第9期

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Assessing reproducibility in Magnetic Resonance (MR) Radiomics features between Deep-Learning segmented and Expert Manual segmented data and evaluating their diagnostic performance in Pregnant Women with suspected Placenta Accreta Spectrum (PAS)

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