Application and Analysis of DCE-MRI Combined with Ultrasound in the Clinical Diagnosis of Breast Cancer

doi:10.7517/issn.1674-0475.220602

Abstract

Abstract: This study investigated the application value of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) combined with ultrasound in clinical diagnosis of breast cancer. The relevant data of 100 patients with breast tumors were retrospectively analyzed. All of the patients completed ultrasound and DCE-MRI examinations. The DCE-MRI characteristics of benign and malignant tumors were comparatively analyzed. The value of the Breast Imaging Reporting and Data System (BI-RADS) in evaluating benign and malignant breast tumors under the two examination methods was analyzed. The diagnostic value of the combination of the two was analyzed. DCE-MRI showed that the shapes, edges, internal enhancement features, and TIC curves of benign and malignant tumors were significantly different. The volume transfer constant (Ktrans) and rate constant (Kep) of malignant tumors were higher than those of benign tumors, and extracellular space volume percentage (Ve) was lower than that of benign tumors. The sensitivity, specificity and accuracy of ultrasound to diagnose benign and malignant breast tumors were 94.12%, 83.67% and 89.00%. The sensitivity, specificity and accuracy of DCE-MRI were 98.04%, 89.79% and 94.00%. The sensitivity, specificity and accuracy of combined diagnosis with the two were 100.00%, 97.95% and 99.00%. The accuracy of combined diagnosis was higher than that of ultrasonic diagnosis (P＜0.05). The above results indicate that both DCE-MRI and breast ultrasound are helpful in nature diagnosis of breast lesions, and combined use of the two can provide more reference for the diagnosis.

Key words: breast cancer, ultrasound, magnetic resonance imaging, dynamic contrast-enhanced magnetic resonance imaging, Breast Imaging Reporting and Data System

CHEN Yuna, WU Yunhu, ZHOU Meijuan, DONG Jiandang. Application and Analysis of DCE-MRI Combined with Ultrasound in the Clinical Diagnosis of Breast Cancer[J]. IMAGING SCIENCE AND PHOTOCHEMISTRY, 2022, 40(6): 1417-1422.

References

[1] 郑荣寿, 孙可欣, 张思维, 等. 2015年中国恶性肿瘤流行情况分析[J]. 中华肿瘤杂志, 2019, 41(1):19-28.
[2] Zhu K, Wang D M, Li Z Y, et al. Heterogeneity of triple-negative breast cancer:Differences in clinicopathologic and ultrasound features between premenopausal and postmenopausal patients[J]. Journal of Ultrasound in Medicine, 2020, 39(5):919-927.
[3] Chen H L, Zhou J Q, Chen Q, et al. Comparison of the sensitivity of mammography, ultrasound, magnetic resonance imaging and combinations of these imaging modalities for the detection of small (≤2 cm) breast cancer[J]. Medicine, 2021, 100(26):e26531.
[4] Kim K E, Park H, Bae S H, et al. Usefulness of using additional ultrasonic dissection device in breast cancer surgery:A retrospective cohort study[J]. Gland Surgery, 2021, 10(12):3181-3187.
[5] Gao L Y, Gu Y, Xu W, et al. Can combined screening of ultrasound and elastography improve breast cancer identification compared with MRI in women with dense breasts-a multicenter prospective study[J]. Journal of Cancer, 2020, 11(13):3903-3909.
[6] Leithner D, Moy L, Morris E A, et al. Abbreviated MRI of the breast:Does it provide value?[J]. Journal of Magnetic Resonance Imaging, 2019, 49(7):e85-e100.
[7] Liberman L, Menell J H. Breast imaging reporting and data system (BI-RADS)[J]. Radiologic Clinics of North America, 2002, 40(3):409-430.
[8] 黄峻琳, 林青, 崔春晓, 等. 数字乳腺断层合成摄影对超声诊断为BI-RADS 4、5类≤30岁有症状女性乳腺良、恶性病变的诊断价值[J]. 中国医学影像学杂志, 2021, 29(8):794-800.
[9] De Cataldo C, Bruno F, Palumbo P, et al. Apparent diffusion coefficient magnetic resonance imaging (ADC-MRI) in the axillary breast cancer lymph node metastasis detection:A narrative review[J]. Gland Surgery, 2020, 9(6):2225-2234.
[10] 邢孔丽, 蔡丽云. 乳房肿块超声影像诊断与病理诊断对比[J]. 中国老年学杂志, 2020, 40(19):4093-4096.
[11] 丁淳, 高勇, 黄海鸣, 等. 超声检查对乳腺肿瘤手术方法选择的效果比较[J]. 中华肿瘤防治杂志, 2018, 25(S1):53-54.
[12] Zhu C R, Chen K Y, Li P, et al. Accuracy of multiparametric MRI in distinguishing the breast malignant lesions from benign lesions:A meta-analysis[J]. Acta Radiologica, 2021, 62(10):1290-1297.
[13] Shin S U, Cho N, Kim S Y, et al. Time-to-enhancement at ultrafast breast DCE-MRI:Potential imaging biomarker of tumour aggressiveness[J]. European Radiology, 2020, 30(7):4058-4068.
[14] 王月波, 蒲红. 乳腺癌增强MRI形态学特征及表观扩散系数值与相关分子生物学标记物的关系分析[J]. 实用放射学杂志, 2020, 36(2):219-222.
[15] Zhou J, Zhang Y, Chang K T, et al. Diagnosis of benign and malignant breast lesions on DCE-MRI by using radiomics and deep learning with consideration of peritumor tissue[J]. Journal of Magnetic Resonance Imaging, 2020, 51(3):798-809.
[16] Kang S R, Kim H W, Kim H S. Evaluating the relationship between dynamic contrast-enhanced MRI (DCE-MRI) parameters and pathological characteristics in breast cancer[J]. Journal of Magnetic Resonance Imaging, 2020, 52(5):1360-1373.
[17] 张庆, 庄治国, 耿小川, 等. 乳腺MRI影像组学模型对小乳腺癌诊断效能的研究[J]. 中华放射学杂志, 2020, 54(8):774-780.
[18] Zhang Y, Chen J H, Lin Y, et al. Prediction of breast cancer molecular subtypes on DCE-MRI using convolutional neural network with transfer learning between two centers[J]. European Radiology, 2021, 31(4):2559-2567.
[19] 周意明, 徐筑津, 华彬, 等. 比较乳腺动态对比增强MRI定量和半定量参数预测乳腺癌新辅助化疗疗效的价值[J]. 实用放射学杂志, 2020, 36(3):396-400.
[20] 宋超, 朱望舒, 石思雅, 等. 定量DCE-MRI对乳腺非肿块型强化病变良恶性的预测价值[J]. 放射学实践, 2020, 10(2):190-196.
[21] 王智慧, 卢国雄, 颜卓恒, 等. 全数字化乳腺摄影、数字乳腺断层摄影与DCE-MRI对乳腺肿物诊断效能的比较[J]. 中山大学学报(医学科学版), 2020, 41(4):603-610.
[22] Filippo M, Laura M, Ivana S, et al. Relationship between DCE-MRI morphological and functional features and histopathological characteristics of breast cancer[J]. European Radiology, 2020, 17(6):1490-1497.
[23] 李彦娟, 张祥, 冯京华, 等. 超声与磁共振诊断乳腺癌的临床价值比较[J]. 中国超声医学杂志, 2020, 36(10):891-894.
[24] 阳君, 赵欣, 苏丹柯, 等. 钼靶和超声及MRI对乳腺癌的诊断价值多中心研究及卫生经济学评价[J]. 放射学实践, 2018, 33(6):579-581.