Prediction of World Health Organization /International Society of Urological Pathology (WHO/ISUP) Pathological Grading of Clear Cell Renal Cell Carcinoma by Dual-Layer Spectral CT

Zhang, Xiaoxiao; Zhang, Gumuyang; Xu, Lili; Bai, Xin; Zhang, Jiahui; Chen, Li; Lü, Xiaomei; Yu, Shenghui; Jin, Zhengyu; Sun, Hao

doi:10.1016/j.acra.2022.12.002

Cited by 9 publications

(1 citation statement)

References 30 publications

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“…After iterative updates in computed tomography (CT) technology, multi-type post-processing imaging of spectral CT not only provides improved image contrast and reliable tissue enhancement measurement but also enhances lesion visibility and the rate of lesion detection ( 9 ). The multi-parameter imaging technology, which is based on spectral single-energy imaging, substance separation, and effective atomic number, is also helpful in predicting the pathological grade of tumors ( 10 - 14 ) or hepatic fibrosis grading ( 15 ). At the same time, researchers have shown that different methods of positioning region of interest (ROI) significantly affect the measurement parameters ( 5 , 8 , 16 , 17 ), thereby impacting the diagnostic performance of the study.…”

Section: Introductionmentioning

confidence: 99%

Prediction of histologic grade of hepatocellular carcinoma using dual-layer spectral-detector computed tomography (CT): comparison of two region of interest plotting methods

Zhang,

et al. 2024

Quant Imaging Med Surg

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Background Multi-parameter imaging technology, which is based on substance separation, helps to predict the pathological grade of tumors. When using dual-layer spectral-detector computed tomography (DLCT) to quantify tumor properties, different methods of placing regions of interest (ROIs) directly impact the measurement of parameters, thus affecting the clinical diagnosis of lesions. Consequently, in this study, we aimed to compare the performance of 2 different ROI plotting methods on DLCT in differentiating the histologic grade of hepatocellular carcinoma (HCC). Methods This retrospective study included 48 consecutive patients with pathologically confirmed HCC, who underwent DLCT from May 2022 to March 2023. The attenuation value of conventional computed tomography (CT), electron density relative to water (EDW), normalized effective atomic number (NZeff), and normalized iodine density (NID) were measured by 2 radiologists using the conventional planar sketching (PS) method and the volumetric analysis method, respectively. The differences in parameters between the arterial phase (AP) and venous phase (VP) were calculated for each parameter (∆CT, ∆EDW, ∆NZeff, ∆NID). We used 2-sample t -test or Mann-Whitney U test was used to compare the differences in parameters between the 2 methods. Spearman correlation analysis was used to determine the correlation between each parameter and histologic grade. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic performance. Results The mean values for the spectral quantitative parameters (CT AP , NZeff AP , NID AP ) and the difference between the arterial phase and venous phase (AP-VP) of parameters (∆CT, ∆EDW, ∆NZeff) measured using the volumetric analysis method were significantly lower than those of the PS method (P<0.05). For the ∆NZeff, the volumetric analysis method achieved the highest area under the curve (AUC) with a value of 0.918 [95% confidence interval (CI): 0.847–0.988], followed by the PS method (AUC =0.853, 95% CI: 0.743–0.963). Conclusions The spectral parameters of DLCT provide a novel quantitative method for evaluating histological differentiation in patients with HCC, which is worthy of clinical recommendation. Different ROI plotting methods significantly impact the measurement of spectral parameters. Therefore, the whole tumor region should be covered in the parameter measurement of HCC lesions as much as feasible, which is more helpful in predicting the histological grading of tumors before treatment.

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