Haitao Jiang
Chinese Academy of Sciences
Logistic regressionArtificial intelligenceTest setPattern recognitionRegion of interestLasso (statistics)Grading (tumors)Clear cell renal cell carcinomaNuclear medicineRenal angiomyolipomaCt attenuationEnhanced ctMatrix difference equationReceiver operating characteristicContrast (statistics)Dimensionality reductionMedicineArea under the curve
Publications 2
#1Xu Wang (CAS: Chinese Academy of Sciences)
#3Haitao Jiang (CAS: Chinese Academy of Sciences)
BACKGROUND: To investigate the value of using specific region of interest (ROI) on contrast-enhanced CT for differentiating renal angiomyolipoma without visible fat (AML.wovf) from small clear cell renal cell carcinoma (ccRCC). METHODS: Four-phase (pre-contrast phase [PCP], corticomedullary phase [CMP], nephrographic phase [NP], and excretory phase [EP]) contrast-enhanced CT images of AML.wovf (n = 31) and ccRCC (n = 74) confirmed by histopathology were retrospectively analyzed. The CT attenuati...
#1Xu Wang (CAS: Chinese Academy of Sciences)
#2Ge Song (CAS: Chinese Academy of Sciences)
Last. Jingjing Xu (CAS: Chinese Academy of Sciences)
view all 6 authors...
Objective The purpose was to investigate the value of texture analysis in predicting the World Health Organization (WHO)/International Society of Urological Pathology (ISUP) grading of localized clear cell renal cell carcinoma (ccRCC) based on unenhanced CT (UECT). Materials and methods Pathologically confirmed subjects (n = 104) with localized ccRCC who received UECT scanning were collected retrospectively for this study. All cases were classified into low grade (n = 53) and high grade (n = 51)...
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