乳腺癌腋窝淋巴结转移的影像学评估进展
Journal: Basic Medical Theory Research DOI: 10.12238/bmtr.v7i1.11832
Abstract
乳腺癌是全球女性发病率最高的恶性肿瘤,对患者的健康造成严重威胁。术前准确评估腋窝淋巴结有无转移对乳腺癌的治疗决策和预后评估至关重要。随着影像学技术的飞速发展,在临床中的应用也越发广泛。本文拟对诊断乳腺癌患者腋窝淋巴结转移的影像学进展进行综述。
Keywords
乳腺癌；淋巴结转移；X线；超声；磁共振成像；PET/CT；双能CT
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[1] 王云月,阮骊韬,任予,等.Ceus诊断乳腺癌研究进展[J/OL].中国医学影像技术,2018,34(4):633-636.
[2] MAMOUNAS E P,KUEHN T, RUTGERS E J T,等.Current approa ch of the axilla in patients with early-stage breast cancer [J/OL].The Lancet,2017:S0140673617314514.
[3] ZONG Q, DENG J,GE W,等.Establishment of simple nomogra ms for predicting axillary lymph node involvement in early breast cancer[J/OL]. Cancer Management and Research, 2020, Volume 12:2025-2035.
[4] ZHU Y, ZHOU W, JIA X,等.Preoperative axillary ultraso und in the selection of patients with a heavy axillary tumor burden in early‐stage breast cancer: What leads to false‐positive results?[J/OL].Journal of Ultrasound in Medicine, 2018,37(6):1357-1365.
[5] 吴佩琪,刘春玲,刘再毅,等.钼靶、ct与dce-mri评价乳腺癌淋巴结转移的价值[J].南方医科大学学报,2016,36(4):493-499.
[6] 王怡,张欢,唐蕾,等.常规超声、钼靶和磁共振对腋窝淋巴结状态的诊断价值评估[J].中国超声医学杂志,2014,30(5):391-394.
[7] 杨亦,姚钰,刘家伟,等.多种影像学手段评估乳腺癌患者腋窝淋巴结状态的对比研究[J].南京医科大学学报(自然科学版),2019,39(5):721-726.
[8] LUCIANI A, DAO T H, LAPEYRE M,等.Simultaneous bilater al breast and high-resolution axillary MRI of patients with breast cancer: preliminary results[J/OL]. American Journal of Roentgenology,2004,182(4):1059-1067.
[9] LUO N, SU D, JIN G, 等. Apparent diffusion coefficient ratio between axillary lymph node with primary tumor to detect nodal metastasis in breast cancer patients[J/OL]. Journal of Magnetic Resonance Imaging,2013,38(4):824-828.
[10] GARCÍA VICENTE A M, SORIANO CASTREJÓN Á, CRUZ MORA M Á, 等. Semi-quantitative lymph node assessment of 18F-FDG PET/CT in locally advanced breast cancer: Correlation with biological prognostic factors[J/OL]. European Journal of Nucl ear Medicine and Molecular Imaging,2013,40(1):72-79.
[11] ZHENG X, YAO Z, HUANG Y, 等. Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer[J/OL].Nature Communications,2020,11(1):1236.
[12] YU Y, TAN Y, XIE C,等. Development and validation of a preoperative magnetic resonance imaging radiomics–based signature to predict axillary lymph node metastasis and disease-free survival in patients with early-stage breast cancer[J/OL].JAMA Network Open,2020,3(12):e2028086.
[13] GENTILI F, GUERRINI S, MAZZEI F G, 等. Dual energy CT in gland tumors: a comprehensive narrative review and differential diagnosis[J/OL].Gland Surgery,2020,9(6):2269-2282.
[14] TERADA K, KAWASHIMA H,YONEDA N,等.Predicting axill ary lymph node metastasis in breast cancer using the simila rity of quantitative dual-energy CT parameters between the primary lesion and axillary lymph node[J/OL].Japanese Journal of Radiology,2022,40(12):1272-1281.
[15] 谷红玉,李勇刚,沈瑞,等.双源双能量CT定量评价预测乳腺癌腋窝淋巴结(ALNs)转移[J].中国ct和mri杂志,2023,21(5):72-75.
[16] 吴天斌,林桂涵,陈炜越,等.双能量ct定量参数联合形态学特征在乳腺癌腋窝淋巴结转移诊断中的应用价值[J].中国中西医结合影像学杂志,2023,21(3):304-309.
[2] MAMOUNAS E P,KUEHN T, RUTGERS E J T,等.Current approa ch of the axilla in patients with early-stage breast cancer [J/OL].The Lancet,2017:S0140673617314514.
[3] ZONG Q, DENG J,GE W,等.Establishment of simple nomogra ms for predicting axillary lymph node involvement in early breast cancer[J/OL]. Cancer Management and Research, 2020, Volume 12:2025-2035.
[4] ZHU Y, ZHOU W, JIA X,等.Preoperative axillary ultraso und in the selection of patients with a heavy axillary tumor burden in early‐stage breast cancer: What leads to false‐positive results?[J/OL].Journal of Ultrasound in Medicine, 2018,37(6):1357-1365.
[5] 吴佩琪,刘春玲,刘再毅,等.钼靶、ct与dce-mri评价乳腺癌淋巴结转移的价值[J].南方医科大学学报,2016,36(4):493-499.
[6] 王怡,张欢,唐蕾,等.常规超声、钼靶和磁共振对腋窝淋巴结状态的诊断价值评估[J].中国超声医学杂志,2014,30(5):391-394.
[7] 杨亦,姚钰,刘家伟,等.多种影像学手段评估乳腺癌患者腋窝淋巴结状态的对比研究[J].南京医科大学学报(自然科学版),2019,39(5):721-726.
[8] LUCIANI A, DAO T H, LAPEYRE M,等.Simultaneous bilater al breast and high-resolution axillary MRI of patients with breast cancer: preliminary results[J/OL]. American Journal of Roentgenology,2004,182(4):1059-1067.
[9] LUO N, SU D, JIN G, 等. Apparent diffusion coefficient ratio between axillary lymph node with primary tumor to detect nodal metastasis in breast cancer patients[J/OL]. Journal of Magnetic Resonance Imaging,2013,38(4):824-828.
[10] GARCÍA VICENTE A M, SORIANO CASTREJÓN Á, CRUZ MORA M Á, 等. Semi-quantitative lymph node assessment of 18F-FDG PET/CT in locally advanced breast cancer: Correlation with biological prognostic factors[J/OL]. European Journal of Nucl ear Medicine and Molecular Imaging,2013,40(1):72-79.
[11] ZHENG X, YAO Z, HUANG Y, 等. Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer[J/OL].Nature Communications,2020,11(1):1236.
[12] YU Y, TAN Y, XIE C,等. Development and validation of a preoperative magnetic resonance imaging radiomics–based signature to predict axillary lymph node metastasis and disease-free survival in patients with early-stage breast cancer[J/OL].JAMA Network Open,2020,3(12):e2028086.
[13] GENTILI F, GUERRINI S, MAZZEI F G, 等. Dual energy CT in gland tumors: a comprehensive narrative review and differential diagnosis[J/OL].Gland Surgery,2020,9(6):2269-2282.
[14] TERADA K, KAWASHIMA H,YONEDA N,等.Predicting axill ary lymph node metastasis in breast cancer using the simila rity of quantitative dual-energy CT parameters between the primary lesion and axillary lymph node[J/OL].Japanese Journal of Radiology,2022,40(12):1272-1281.
[15] 谷红玉,李勇刚,沈瑞,等.双源双能量CT定量评价预测乳腺癌腋窝淋巴结(ALNs)转移[J].中国ct和mri杂志,2023,21(5):72-75.
[16] 吴天斌,林桂涵,陈炜越,等.双能量ct定量参数联合形态学特征在乳腺癌腋窝淋巴结转移诊断中的应用价值[J].中国中西医结合影像学杂志,2023,21(3):304-309.
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