Correlation and predictive value of quantitative parameters of enhanced T1 mapping and ZOOMit intravoxel incoherent motion imaging with Ki67 expression in lung cancer
Guo Wenxiu1, Zhao Peng1,2, Lin Xiangtao1,2, Yuan Letian1, Yang Tao2, Tian Mimi2
1Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China; 2Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan 250021, China
Abstract:Objective This study aims to investigate the correlation between the quantitative parameters of intravoxel incoherent motion imaging based on ZOOM imaging technology (ZOOMit IVIM) and enhanced T1 mapping and the expression index of Ki67 in lung cancer and to compare the predictive value of these parameters for Ki67 expression in lung cancer. Methods In this retrospective study, the clinical and MRI data of 52 patients with pathologically confirmed lung cancer in Shandong Provincial Hospital Affiliated with Shandong First Medical University from September 2020 to April 2022 were included. The participants included 37 males and 15 females, aged 50-79 years (median age 63 years), and all of them underwent enhanced T1 mapping and ZOOMit IVIM imaging before surgery. The following quantitative parameters were measured for lesions based on ZOOMit IVIM imaging: apparent diffusion coefficient (ADC) value, true diffusion coefficient (D) value, pseudo-diffusion coefficient (D*)value, and perfusion fraction (f) value. The quantitative parameters of the enhanced T1 mapping included T1 value before and after injection of the contrast medium (T1pre, T1post) and the change value of T1 (∆T1) as well as the percentage of change (∆T1%). According to the results of pathological examination and cell staining, the percentage of positive cells in the total number of cells (Ki67 index) was calculated. The patients were divided into 19 cases in the low expression group (Ki67 index ≤25%) and 33 cases in the high expression group (Ki67 index >25%) with a cut-off of 25%. Observation index was used:(1) compare the baseline data of gender, age,and lesion size of two groups; (2) to analyze the correlation between each parameter and the expression index of Ki67 in lung cancer; (3) to explore the difference between the quantitative parameters in the different expression groups of Ki67; (4) to evaluate and compare the differential diagnostic efficacy of quantitive parameters with statical significance significance on Ki67 expression; (5) to investigate the correlation between perfusion-related parameters in the two imaging modalities. Results Among the 52 patients, 19 were in the low expression group and 33 were in the high expression group. (1) No significant differences were found in gender, age, and lesion size between the two groups (all P values >0.05). (2) ADC values, D values, ∆T1, and ∆T1% were negatively correlated with the expression index of Ki67 in lung cancer, and T1post was positively correlated with the expression index. ∆T1% had the strongest correlation (r=-0.659, P<0.001). No obvious correlation was found between D* value, f-value, T1pre, and Ki67 expression. (3) ADC values, D values, ∆T1 values, and ∆T1% in the Ki67 high expression group were lower than those in the low expression group, and T1post was higher than that in the low expression group, and the differences were statistically significant (all P values <0.01). D* value, f-value, and T1pre were not significant different between the two groups (all P values >0.05). (4) The quantitative parameters with the highest diagnostic efficiency in the two imaging were ADC value and ∆T1% (AUC=0.799, 0.941), and the difference between the diagnostic performance of the two quantitative parameters was statistically significant (Z=2.14, P=0.032), among which ∆T1% had higher diagnostic performance and higher sensitivity (78.79%) and specificity (94.74%). (5) There was no correlation between the quantitative parameters D* and f of ZOOMit IVIM and the quantitative parameters of enhanced T1 mapping (all P values >0.05). Conclusion The quantitative parameters (ADC value, D value, T1post, ∆T1, ∆T1%) of ZOOMit IVIM and enhanced T1 mapping were correlated with the expression of Ki67 in lung cancer. The enhanced T1 mapping and ZOOMit IVIM sequences can predict the expression of Ki67 in lung cancer. ∆T1% of the T1 mapping has the strongest correlation with Ki67 expression index, and the highest efficiency in predicting Ki67 high and low expression, which can provide a new perspective for predicting Ki67 expression in lung cancer at an early stage of surgery.
郭文秀, 赵鹏, 林祥涛, 苑乐添, 杨涛, 田迷迷. 增强T1 mapping和ZOOMit IVIM成像的定量参数与肺癌Ki67表达的相关性及预测价值[J]. 中华解剖与临床杂志, 2023, 28(6): 357-364.
Guo Wenxiu, Zhao Peng, Lin Xiangtao, Yuan Letian, Yang Tao, Tian Mimi. Correlation and predictive value of quantitative parameters of enhanced T1 mapping and ZOOMit intravoxel incoherent motion imaging with Ki67 expression in lung cancer. Chinese Journal of Anatomy and Clinics, 2023, 28(6): 357-364.
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