Department of Radiology, University of Texas Southwestern Medical Center at Dallas, 5323 Harry Hines Blvd, Dallas, TX 75390.
University of Texas Southwestern Medical School, Dallas, TX.
AJR Am J Roentgenol. 2022 Jan;218(1):101-110. doi: 10.2214/AJR.21.25979. Epub 2021 Jul 21.
. The lack of validated imaging markers to characterize biologic aggressiveness of small renal masses (SRMs)-defined as those categorized as cT1a and 4 cm and smaller-hinders medical decision-making among available initial management strategies. . The purpose of this article was to explore the association of the clear cell likelihood score (ccLS) on MRI with growth rates and progression of SRMs. . This retrospective study included consecutive SRMs assigned a ccLS on clinical MRI examinations performed between June 2016 and November 2019 at an academic tertiary-care medical center or its affiliated safety net hospital system. The ccLS reports the likelihood that the SRM represents clear cell renal cell carcinoma (ccRCC) from 1 (very unlikely) to 5 (very likely). The ccLS was extracted from clinical reports. Tumor size measurements were extracted from available prior and follow-up cross-sectional imaging examinations, through June 2020. Serial tumor size measurements were fit to linear and exponential growth curves. Estimated growth rates were grouped by the assigned ccLS. Tumor progression was defined by development of large size (> 4 cm in at least two consecutive measurements) and/or rapid growth (doubling of volume within 1 year). Differences among ccLS groups were evaluated using Kruskal-Wallis tests. Correlations between ccLS and growth rate were evaluated by Spearman correlation (ρ). . Growth rates of 386 SRMs (100 ccLS 1-2, 75 ccLS 3, and 211 ccLS 4-5) from 339 patients (median age, 65 years; 198 men, 141 women) were analyzed. Median follow-up was 1.2 years. The ccLS was correlated with growth rates by size (ρ = 0.19; < .001; ccLS 4-5, 9%/year; ccLS 1-2, 5%/year; < .001) and by volume (ρ = 0.14; = .006; ccLS 4-5, 29%/year; ccLS 1-2, 16%/year; < .001). Disease progression (observed in 49 SRMs) was not significantly associated with ccLS group ( = .61). Two patients (0.6%) developed metastases during active surveillance: one ccLS 1 was a type 2 papillary renal cell carcinoma and one ccLS 4 was ccRCC. . Growth is associated with ccLS in SRMs, with higher ccLS correlating with faster growth. . SRMs with lower ccLS may be considered for active surveillance, whereas SRMs with higher ccLS may warrant earlier intervention. The noninvasive ccLS derived from MRI correlates with growth rate of SRMs and may help guide personalized management.
. 缺乏经过验证的影像学标志物来描述小肾肿瘤(SRM)的生物学侵袭性-定义为那些归类为 cT1a 和 4cm 及更小的肿瘤-这阻碍了现有初始管理策略中医疗决策的制定。. 本文旨在探讨 MRI 上的透明细胞可能性评分(ccLS)与 SRM 的生长速度和进展的关系。. 这项回顾性研究纳入了 2016 年 6 月至 2019 年 11 月期间在学术性三级保健医疗中心或其附属的安全网医院系统进行的临床 MRI 检查中被分配 ccLS 的连续 SRM。ccLS 报告了 SRM 代表透明细胞肾细胞癌(ccRCC)的可能性,范围从 1(极不可能)到 5(极有可能)。ccLS 从临床报告中提取。肿瘤大小测量值从可用的既往和随访的横断面成像检查中提取,截至 2020 年 6 月。对系列肿瘤大小测量值进行线性和指数生长曲线拟合。根据分配的 ccLS 对估计的生长率进行分组。肿瘤进展定义为体积增大(至少两次连续测量中超过 4cm)和/或快速生长(体积在 1 年内翻一番)。使用 Kruskal-Wallis 检验评估 ccLS 组之间的差异。使用 Spearman 相关系数(ρ)评估 ccLS 与生长率之间的相关性。. 对来自 339 名患者(中位年龄 65 岁;198 名男性,141 名女性)的 386 个 SRM(100 个 ccLS 1-2,75 个 ccLS 3,211 个 ccLS 4-5)的生长率进行了分析。中位随访时间为 1.2 年。ccLS 与大小相关的生长率(ρ=0.19;<0.001;ccLS 4-5,9%/年;ccLS 1-2,5%/年;<0.001)和体积(ρ=0.14;=0.006;ccLS 4-5,29%/年;ccLS 1-2,16%/年;<0.001)。疾病进展(在 49 个 SRM 中观察到)与 ccLS 组无显著相关性(=0.61)。两名患者(0.6%)在主动监测期间发生转移:一名 ccLS 1 为 2 型乳头状肾细胞癌,一名 ccLS 4 为 ccRCC。. 在 SRM 中,生长与 ccLS 相关,ccLS 越高,生长速度越快。. ccLS 较低的 SRM 可能考虑主动监测,而 ccLS 较高的 SRM 可能需要更早的干预。从 MRI 获得的非侵入性 ccLS 与 SRM 的生长速度相关,可能有助于指导个性化管理。