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采用 F-18 FDG PET/CT 评估乳腺癌肿瘤、腋窝淋巴结和正常乳腺组织的血供和代谢:与病理预后因素的比较。

Evaluation of blood supply and metabolism in tumor, axillary lymph node and normal breast tissue with F-18 FDG PET/CT in breast cancer: comparison with pathological prognostic factors.

机构信息

Department of Nuclear Medicine, Erciyes University, School of Medicine, Kayseri, Turkey.

Department of Pathology, Erciyes University, School of Medicine, Kayseri, Turkey.

出版信息

BMC Womens Health. 2024 Jan 16;24(1):45. doi: 10.1186/s12905-023-02858-3.

DOI:10.1186/s12905-023-02858-3
PMID:38229093
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10792953/
Abstract

BACKGROUND AND PURPOSE

Perfusion parameters obtained in F-18 FDG PET/CT performed for staging purposes in breast cancers may provide additional information about tumor biology as well as glucose metabolism. The aim of this study was to evaluate throughout F-18 FDG PET/CT the relationship between blood flow and glucose metabolism and histological parameters of the primary tumor, normal mammary gland, and axillary lymph nodes in breast cancer patients.

MATERIALS AND METHODS

Sixty six female patients (mean age 51 y ± 12,81) were prospectively included to this study. We performed dynamic blood flow (f) study that started with 296-444 MBq (8-12 mCi) F-18 FDG injection and lasted for 10 minutes, and glucose metabolism (m) imaging one hour later. On each frame, mean activity concentration (AC) values (Bq/mL) were recorded on a spherical volume of interest (VOI) having a volume of ~ 1 cm3 on the hottest voxel of primary tumor (T), across normal breast gland (NG) and ipsilaterally axillary lymph nodes (iLN). Correlations among PET parameters and estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (c-erbB2) and Ki67 index were analyzed.

RESULTS

T volume (TV) ranged from 1.1 to 85.28 cm3 [median (IR): 6.44 (11.78)]. There were positive correlations between c-erbB2 and TACf and between c-erbB2 and iLNACf (p = 0.045, r = + 0.248; p = 0.050, r = + 0.242). In the ER positive (ERP) patients, TV and TACm were significantly lower than those of ER negative (ERN) (respectively p = 0.044 and p = 0.041). In patients with two positive Ki-67 indices, iLN-SUVmax was significantly higher than one-positive patients (p = 0.020). There was a negative correlation between NGACm and histological grade of tumor (p = 0.005, r = - 0.365).

CONCLUSIONS

Breast cancer shows differences in progression, metastasis and survival due to its diversity in terms of molecular, biological and angiogenesis. High glucose metabolism in breast cancers is associated with tumor aggressiveness. Being able to examine tumor tissue characteristics such as blood flow and glucose metabolism with a single diagnostic technique and to reveal its relationship with histological parameters can provide a reliable pretherapeutic evaluation in breast cancers.

摘要

背景与目的

在乳腺癌分期中进行的 F-18 FDG PET/CT 检查获得的灌注参数可能提供有关肿瘤生物学和葡萄糖代谢的额外信息。本研究的目的是评估乳腺癌患者的原发肿瘤、正常乳腺和腋窝淋巴结的 F-18 FDG PET/CT 血流和葡萄糖代谢与组织学参数之间的关系。

材料和方法

66 名女性患者(平均年龄 51 y±12.81)前瞻性纳入本研究。我们进行了动态血流(f)研究,从 296-444 MBq(8-12 mCi)F-18 FDG 注射开始,持续 10 分钟,然后在 1 小时后进行葡萄糖代谢(m)成像。在每个帧上,记录了在原发性肿瘤(T)的最热体素上具有约 1 cm3 体积的球形感兴趣区(VOI)上的平均活动浓度(AC)值(Bq/mL),跨越正常乳腺组织(NG)和同侧腋窝淋巴结(iLN)。分析了 PET 参数与雌激素受体(ER)、孕激素受体(PR)、人表皮生长因子受体 2(c-erbB2)和 Ki67 指数之间的相关性。

结果

T 体积(TV)范围为 1.1 至 85.28 cm3[中位数(IR):6.44(11.78)]。c-erbB2 与 TACf 和 c-erbB2 与 iLNACf 之间存在正相关(p=0.045,r=+0.248;p=0.050,r=+0.242)。在 ER 阳性(ERP)患者中,TV 和 TACm 明显低于 ER 阴性(ERN)(分别为 p=0.044 和 p=0.041)。在 Ki-67 指数为两个阳性的患者中,iLN-SUVmax 明显高于一个阳性患者(p=0.020)。NGACm 与肿瘤组织学分级之间存在负相关(p=0.005,r=-0.365)。

结论

由于其在分子、生物学和血管生成方面的多样性,乳腺癌的进展、转移和生存率存在差异。乳腺癌的高葡萄糖代谢与肿瘤侵袭性有关。能够使用单一诊断技术检查肿瘤组织特征,如血流和葡萄糖代谢,并揭示其与组织学参数的关系,可以为乳腺癌提供可靠的治疗前评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/267b/10792953/6cf24388c6b5/12905_2023_2858_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/267b/10792953/76cabb6357ce/12905_2023_2858_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/267b/10792953/6cf24388c6b5/12905_2023_2858_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/267b/10792953/76cabb6357ce/12905_2023_2858_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/267b/10792953/6cf24388c6b5/12905_2023_2858_Fig2_HTML.jpg

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