Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Department of Artificial Intelligence, Julei Technology Company, Wuhan, Hubei, China.
J Magn Reson Imaging. 2024 May;59(5):1769-1776. doi: 10.1002/jmri.28914. Epub 2023 Jul 27.
The status of the hypothalamic-pituitary-gonadal (HPG) axis is important for assessing the onset of physiological or pathological puberty. The reference standard gonadotropin-releasing hormone (GnRH) stimulation test requires hospital admission and repeated blood samples. A simple noninvasive method would be beneficial.
To explore a noninvasive method for evaluating HPG axis activation in children using an MRI radiomics model.
Retrospective.
Two hundred thirty-nine children (83 male; 3.6-14.6 years) with hypophysial MRI and GnRH stimulation tests, randomly divided a training set (168 children) and a test set (71 children).
FIELD STRENGTH/SEQUENCE: 3.0 T, 3D isotropic fast spin echo (CUBE) T1-weighted imaging (TWI) sequences.
Radiomics features were extracted from sagittal 3D CUBE TWI, and imaging signatures were generated using the least absolute shrinkage and selection operator (LASSO) with 10-fold cross-validation. Diagnostic performance for differential diagnosis of HPG status was compared between a radiomics model and MRI features (adenohypophyseal height [aPH] and volume [aPV]).
Receiver operating characteristic (ROC) and decision curve analysis (DCA). A P value <0.05 was considered statistically significant.
Eight hundred fifty-one radiomics features were extracted and reduced to 10 by the LASSO method in the training cohort. The radiomics model based on CUBE T1WI showed good performance in assessment of HPG axis activation with an area under the ROC curve (AUC) of 0.81 (95% CI: 0.71, 0.91) in the test set. The AUC of the radiomics model was significantly higher than that of aPH (0.81 vs. 0.65) but there was no significant difference compared to aPV (0.81 vs. 0.78, P = 0.58). In DCA analysis, the radiomics signature showed higher net benefit over the aPV and aPH models.
The MRI radiomics model has potential to assess HPG axis activation status noninvasively, potentially providing valuable information in the diagnosis of patients with pathological puberty onset.
4 TECHNICAL EFFICACY: Stage 2.
评估下丘脑-垂体-性腺(HPG)轴的状态对于了解生理或病理青春期的开始很重要。参考标准促性腺激素释放激素(GnRH)刺激试验需要住院和多次采集血样。因此,一种简单的非侵入性方法将是有益的。
探讨使用 MRI 放射组学模型评估儿童 HPG 轴激活的非侵入性方法。
回顾性。
239 名儿童(83 名男性;3.6-14.6 岁)进行了垂体 MRI 和 GnRH 刺激试验,随机分为训练集(168 名儿童)和测试集(71 名儿童)。
磁场强度/序列:3.0 T,3D 各向同性快速自旋回波(CUBE)T1 加权成像(TWI)序列。
从矢状面 3D CUBE TWI 中提取放射组学特征,并使用 10 倍交叉验证的最小绝对值收缩和选择算子(LASSO)生成成像特征。比较放射组学模型和 MRI 特征(腺垂体高度[aPH]和体积[aPV])在 HPG 状态差异诊断中的诊断性能。
受试者工作特征(ROC)和决策曲线分析(DCA)。P 值<0.05 被认为具有统计学意义。
在训练队列中,通过 LASSO 方法从 851 个放射组学特征中提取并减少到 10 个。基于 CUBE T1WI 的放射组学模型在评估 HPG 轴激活方面表现出良好的性能,在测试集中 ROC 曲线下面积(AUC)为 0.81(95%CI:0.71,0.91)。放射组学模型的 AUC 明显高于 aPH(0.81 与 0.65),但与 aPV 无显著差异(0.81 与 0.78,P=0.58)。在 DCA 分析中,放射组学特征在 aPV 和 aPH 模型上显示出更高的净获益。
MRI 放射组学模型具有潜在的非侵入性评估 HPG 轴激活状态的能力,可能为病理性青春期发病患者的诊断提供有价值的信息。
4 级技术功效:2 级。