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乳腺癌瘤周 ADC 值:感兴趣区选择、与透明质酸强度的关系及预后意义。

Peritumoral ADC values in breast cancer: region of interest selection, associations with hyaluronan intensity, and prognostic significance.

机构信息

Institute of Clinical Medicine, School of Medicine, Oncology, University of Eastern Finland, P.O. Box 1627, FI 70211, Kuopio, Finland.

Department of Oncology, Cancer Center, Kuopio University Hospital, P.O. Box 100, FI 70029, Kuopio, Finland.

出版信息

Eur Radiol. 2020 Jan;30(1):38-46. doi: 10.1007/s00330-019-06361-y. Epub 2019 Jul 29.

DOI:10.1007/s00330-019-06361-y
PMID:31359124
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6890700/
Abstract

OBJECTIVES

We aimed to evaluate the differences in peritumoral apparent diffusion coefficient (ADC) values by four different ROI selection methods and to validate the optimal method. Furthermore, we aimed to evaluate if the peritumor-tumor ADC ratios are correlated with axillary lymph node positivity and hyaluronan accumulation.

METHODS

Altogether, 22 breast cancer patients underwent 3.0-T breast MRI, histopathological evaluation, and hyaluronan assay. Paired t and Friedman tests were used to compare minimum, mean, and maximum values of tumoral and peritumoral ADC by four methods: (M1) band ROI, (M2) whole tumor surrounding ROI, (M3) clockwise multiple ROI, and (M4) visual assessment of ROI selection. Subsequently, peritumor/tumor ADC ratios were compared with hyaluronan levels and axillary lymph node status by the Mann-Whitney U test.

RESULTS

No statistically significant differences were found among the four ROI selection methods regarding minimum, mean, or maximum values of tumoral and peritumoral ADC. Visual assessment ROI measurements represented the less time-consuming evaluation method for the peritumoral area, and with sufficient accuracy. Peritumor/tumor ADC ratios obtained by all methods except the clockwise ROI (M3) showed a positive correlation with hyaluronan content (M1, p = 0.004; M2, p = 0.012; M3, p = 0.20; M4, p = 0.025) and lymph node metastasis (M1, p = 0.001; M2, p = 0.007; M3, p = 0.22; M4, p = 0.015), which are established factors for unfavorable prognosis.

CONCLUSIONS

Our results suggest that the peritumor/tumor ADC ratio could be a readily applicable imaging index associated with axillary lymph node metastasis and extensive hyaluronan accumulation. It could be related to the biological aggressiveness of breast cancer and therefore might serve as an additional prognostic factor.

KEY POINTS

• Out of four different ROI selection methods for peritumoral ADC evaluation, measurements based on visual assessment provided sufficient accuracy and were the less time-consuming method. • The peritumor/tumor ADC ratio can provide an easily applicable supplementary imaging index for breast cancer assessment. • A higher peritumor/tumor ADC ratio was associated with axillary lymph node metastasis and extensive hyaluronan accumulation and might serve as an additional prognostic factor.

摘要

目的

我们旨在评估四种不同 ROI 选择方法在肿瘤周围表观扩散系数(ADC)值方面的差异,并验证最佳方法。此外,我们旨在评估肿瘤-肿瘤周围 ADC 比值是否与腋窝淋巴结阳性和透明质酸积累相关。

方法

共 22 例乳腺癌患者接受了 3.0T 乳腺 MRI、组织病理学评估和透明质酸检测。使用配对 t 检验和 Friedman 检验比较了四种方法(M1)带 ROI、(M2)肿瘤周围全环绕 ROI、(M3)顺时针多个 ROI 和(M4)ROI 选择的视觉评估对肿瘤和肿瘤周围 ADC 的最小、平均和最大值的影响。随后,通过 Mann-Whitney U 检验比较了肿瘤周围/肿瘤 ADC 比值与透明质酸水平和腋窝淋巴结状态。

结果

在肿瘤和肿瘤周围 ADC 的最小、平均或最大值方面,四种 ROI 选择方法之间没有统计学上的显著差异。视觉评估 ROI 测量代表了一种耗时较少的肿瘤周围区域评估方法,且具有足够的准确性。除顺时针 ROI(M3)外,所有方法获得的肿瘤周围/肿瘤 ADC 比值与透明质酸含量(M1,p=0.004;M2,p=0.012;M3,p=0.20;M4,p=0.025)和淋巴结转移(M1,p=0.001;M2,p=0.007;M3,p=0.22;M4,p=0.015)呈正相关,这些都是不良预后的既定因素。

结论

我们的结果表明,肿瘤周围/肿瘤 ADC 比值可能是一种与腋窝淋巴结转移和广泛透明质酸积累相关的易于应用的成像指标。它可能与乳腺癌的生物学侵袭性有关,因此可能成为额外的预后因素。

关键要点

  • 在评估肿瘤周围 ADC 的四种不同 ROI 选择方法中,基于视觉评估的测量方法提供了足够的准确性,且耗时较少。

  • 肿瘤周围/肿瘤 ADC 比值可为乳腺癌评估提供一种易于应用的补充成像指标。

  • 较高的肿瘤周围/肿瘤 ADC 比值与腋窝淋巴结转移和广泛透明质酸积累相关,可能成为额外的预后因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f27/6890700/2a19d2af08cb/330_2019_6361_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f27/6890700/d949ea803a48/330_2019_6361_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f27/6890700/2a19d2af08cb/330_2019_6361_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f27/6890700/d949ea803a48/330_2019_6361_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f27/6890700/2a19d2af08cb/330_2019_6361_Fig2_HTML.jpg

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本文引用的文献

1
Prediction of Microvascular Invasion in Hepatocellular Carcinoma: Preoperative Gd-EOB-DTPA-Dynamic Enhanced MRI and Histopathological Correlation.肝细胞癌微血管侵犯的预测:术前钆塞酸二钠动态增强 MRI 与组织病理学相关性。
Contrast Media Mol Imaging. 2018 Jan 23;2018:9674565. doi: 10.1155/2018/9674565. eCollection 2018.
2
Elevated hyaluronan concentration without hyaluronidase activation in malignant epithelial ovarian tumors.恶性上皮性卵巢肿瘤中透明质酸浓度升高但无透明质酸酶激活。
Cancer Res. 2002 Nov 15;62(22):6410-3.
Association between diffusion-weighted imaging and tumor matrix in liver cancer: a cross-sectional study.
扩散加权成像与肝癌肿瘤基质之间的关联:一项横断面研究。
Transl Cancer Res. 2025 Mar 30;14(3):1764-1771. doi: 10.21037/tcr-24-1516. Epub 2025 Mar 20.
4
Predicting axillary response to neoadjuvant chemotherapy using peritumoral and intratumoral ultrasound radiomics in breast cancer subtypes.利用瘤周和瘤内超声放射组学预测乳腺癌亚型新辅助化疗的腋窝反应
iScience. 2024 Aug 13;27(9):110716. doi: 10.1016/j.isci.2024.110716. eCollection 2024 Sep 20.
5
Diagnosis of benign and malignant nodules with a radiomics model integrating features from nodules and mammary regions on DCE-MRI.基于DCE-MRI上结节和乳腺区域特征整合的影像组学模型对良性和恶性结节的诊断
Front Oncol. 2024 Feb 21;14:1307907. doi: 10.3389/fonc.2024.1307907. eCollection 2024.
6
Association of peritumoral region features assessed on breast MRI and prognosis of breast cancer: a systematic review and meta-analysis.基于乳腺 MRI 评估的肿瘤周围区域特征与乳腺癌预后的相关性:一项系统评价和荟萃分析。
Eur Radiol. 2024 Sep;34(9):6108-6120. doi: 10.1007/s00330-024-10612-y. Epub 2024 Feb 9.
7
Multiparametric MRI Features of Breast Cancer Molecular Subtypes.乳腺癌分子亚型的多参数 MRI 特征。
Medicina (Kaunas). 2022 Nov 23;58(12):1716. doi: 10.3390/medicina58121716.
8
Diffusion Breast MRI: Current Standard and Emerging Techniques.扩散加权乳腺磁共振成像:当前标准与新兴技术
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9
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Front Oncol. 2022 Jun 24;12:905551. doi: 10.3389/fonc.2022.905551. eCollection 2022.
10
MRI characteristics of breast edema for assessing axillary lymph node burden in early-stage breast cancer: a retrospective bicentric study.MRI 特征性乳腺水肿评估早期乳腺癌腋窝淋巴结受累情况的回顾性双中心研究。
Eur Radiol. 2022 Dec;32(12):8213-8225. doi: 10.1007/s00330-022-08896-z. Epub 2022 Jun 15.