鉴别肾小肿瘤的良恶性：T1 映射成像是否能发挥作用？

Identification of benign from malignant small renal tumors: is there a possible role of T1 mapping?

作者信息

Zhong Lianting, Lian Danlan, Zhang Ying, Ding Yuqin, Rao Shengxiang, Guo Jiefeng, Lin Weifeng, Qu Xiaobo, Zhou Jianjun

机构信息

Department of Radiology, Zhongshan Hospital (Xiamen), Fudan University, 668 Jinhu Road, Huli District, Xiamen, 361015, China.

Department of Nuclear Medicine, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, 361015, China.

出版信息

Discov Oncol. 2025 May 19;16(1):808. doi: 10.1007/s12672-025-02609-w.

DOI:10.1007/s12672-025-02609-w

PMID:40388025

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12089541/

Abstract

PURPOSE

Differentiating benign from malignant small renal tumors (SRMs) can help to guide clinical decision-making. T1 mapping enables quantitative assessment of T1 relaxation time and may help to evaluate SRMs properties. This study aimed to investigate the possible utility of T1 mapping for identification of SRMs.

METHODS

The data set used in this retrospective study, consisted of 104 patients with SRMs (≤ 4 cm). 78 malignant and 25 benign ones respectively. Calculated and compared the quantitative variables (including T1 mapping) between different renal tumors. The clinical features qualitative characteristics were subsequently documented. Finally, the logistic regression models were used to identify independent influencing factors. The diagnostic accuracy of independent influencing factors was represented with the area under the receiver operating characteristic curve (AUC).

RESULTS

The pre-contrast T1 mapping (T1) and the ratio of T1 reduction in malignance were higher than those in benign SRMs, while post-contrast T1 mapping was lower (all P < 0.025). In multivariable logistic regression, the tumor necrosis (odds ratio (OR) = 20.636, P = 0.005) and T1 (OR = 2.982, P = 0.002) were independent predictors. For the identification of SRMs, the performance of the model achieving an AUC of 0.793 (95% CI 0.701-0.866) when combining two factors.

CONCLUSION

Quantitative T1 mapping parameters may be a new potential biomarker for noninvasively distinguishing SRMs.

摘要

目的

鉴别肾小肿瘤（SRMs）的良恶性有助于指导临床决策。T1 mapping能够定量评估T1弛豫时间，可能有助于评估SRMs的特性。本研究旨在探讨T1 mapping在识别SRMs方面的潜在应用价值。

方法

本回顾性研究使用的数据集包括104例SRMs（≤4 cm）患者，其中恶性肿瘤78例，良性肿瘤25例。计算并比较不同肾肿瘤之间的定量变量（包括T1 mapping）。随后记录临床特征和定性特征。最后，使用逻辑回归模型确定独立影响因素。独立影响因素的诊断准确性用受试者工作特征曲线下面积（AUC）表示。

结果

对比前T1 mapping（T1）及恶性肿瘤中T1降低率高于良性SRMs，而对比后T1 mapping则较低（均P<0.025）。在多变量逻辑回归中，肿瘤坏死（比值比（OR）=20.636，P=0.005）和T1（OR=2.982，P=0.002）是独立预测因素。对于SRMs的识别，当结合两个因素时，模型的表现达到AUC为0.793（95%CI 0.701-0.866）。