@article{QIMS27637,
author = {Guan Li and Wei Huang and Qinmei Xu and Jie Dong and Zhiqiang Cao and Di Wang and Mingyu Zou and Guangming Lu},
title = {Application value of dual-energy computed tomography spectrum curve combined with clinical risk factors in predicting adherent perinephric fat},
journal = {Quantitative Imaging in Medicine and Surgery},
volume = {9},
number = {8},
year = {2019},
keywords = {},
abstract = {Background: Adherent perinephric fat (APF) is evaluated preoperatively with the Mayo adhesive probability (MAP) scoring system using conventional single form computed tomography (CT) images. An objective or quantitative indicator for predicting APF is urgently needed for clinical application.
Methods: Data obtained from 150 renal tumor patients with partial nephrectomy (PN) were used in the present study. Patients were divided into two groups based on the surgical results: an APF group (n=100) and a non-APF group (n=50). All patients had renal contrast-enhanced dual-energy CT (DECT) scan, and the data were brought into a post-processing workstation. Monoenergetic plus mode was adopted to analyze the spectrum curve of the region of interest (ROI). Logistic stepwise relapse investigation was utilized to analyze the related risk factors. The maximum Youden index was taken as the cut-off value. The sensitivity, specificity, accuracy, and 95% CI of the model were calculated.
Results: APF is related to patients’ clinical characteristics of age, gender, BMI, smoking, tumor diameter, exophytic, and benign or malignant nature of the renal masses (P},
issn = {2223-4306}, url = {https://qims.amegroups.org/article/view/27637}
}