Please wait a minute...
J Zhejiang Univ (Med Sci)  2019, Vol. 48 Issue (2): 186-192    DOI: 10.3785/j.issn.1008-9292.2019.04.10
    
Digital breast tomosynthesis in diagnosis of dense breast lesions
XU A'qiao1(),HE Hongqin1,SHI Qiujun1,LI Zhiqing2,ZHANG Shengjian3,*()
1. Department of Radiology, Shaoxing Central Hospital, Shaoxing 312030, Zhejiang Province, China
2. Department of Pathology, Shaoxing Central Hospital, Shaoxing 312030, Zhejiang Province, China
3. Department of Radiology, Tumor Hospital Affiliated to Fudan University, Shanghai 200032, China
Download: HTML( 5 )   PDF(971KB)
Export: BibTeX | EndNote (RIS)      

Abstract  

Objective: To evaluate the value of digital breast tomosynthesis (DBT) in diagnosis of dense breast lesions. Methods: Clinical and pathological data of 163 patients (58 benign lesions, 122 malignant lesions, and 180 lesions in total) with breast lesions undergoing surgical treatment in Shaoxing Central Hospital from January 2017 to December 2018 were retrospectively analyzed. The lesions were classified into non-homogeneous dense gland type and extremely dense gland type according to BI-RADS creterion. Breast MRI and DBT examinations were performed before the surgery. ROC curve was generated and the diagnostic efficacy of two examination methods for dense breast lesions was evaluated with pathological results as the gold standard. The detection rate, diagnostic accuracy of benign and malignant breast lesions were compared between two methods using chi-square test. The accuracy of lesion size preoperatively evaluated by MRI and DBT was analyzed by Pearson correlation. Results: The detection rate and diagnostic accuracy for benign breast lesions by MRI were higher than those by DBT (91.4% vs. 75.9%, χ2=5.098, P < 0.05 and 89.7% vs. 67.2%, χ2=8.617, P < 0.01). But there were no significant differences in detection rate and accuracy for malignant lesions by MRI and DBT (98.4% vs. 95.1%, χ2=2.068, P>0.05 and 94.3% vs. 91.8%, χ2=0.569, P>0.05). The areas under the ROC curves of MRI, DBT based on BI-RADS classification were 0.910 and 0.832, respectively (Z=1.860, P>0.05). The sensitivities of MRI, DBT to breast lesions were 93.3% and 86.7%, and the specificities were 68.3% and 79.1%. DBT and MRI measurements were positively correlated with pathological measurements (r=0.887 and 0.949, all P < 0.01). Conclusion: DBT can effectively diagnose benign and malignant breast lesions under dense gland background, and it has similar diagnostic efficacy with MRI for breast malignant lesions.



Key wordsBreast neoplasms/diagnostic imaging      Breast neoplasms/pathology      Breast diseases/diagnostic imaging      Breast diseases/pathology      Magnetic resonance spectroscopy      Tomography, X-ray computed/methods      Case-control studies     
Received: 30 November 2018      Published: 24 July 2019
CLC:  R445  
  R737.9  
Corresponding Authors: ZHANG Shengjian     E-mail: 737730@qq.com;zhangshengjian@yeah.net
Cite this article:

XU A'qiao,HE Hongqin,SHI Qiujun,LI Zhiqing,ZHANG Shengjian. Digital breast tomosynthesis in diagnosis of dense breast lesions. J Zhejiang Univ (Med Sci), 2019, 48(2): 186-192.

URL:

http://www.zjujournals.com/med/10.3785/j.issn.1008-9292.2019.04.10     OR     http://www.zjujournals.com/med/Y2019/V48/I2/186


数字化乳腺断层融合摄影对致密型乳腺病变的诊断价值

目的: 探讨数字化乳腺断层融合摄影(DBT)在致密型乳腺患者中诊断乳腺良恶性病变的效能。方法: 收集2017年1月至2018年12月绍兴市中心医院经病理组织学检查证实的163例乳腺良恶性病变患者的资料(良性病灶58个,恶性病灶122个,共计180个)。根据BI-RADS标准患者乳腺腺体类型均归类于不均质致密腺体型和极度致密型。所有患者术前均行乳腺MRI、DBT检查。以病理结果为金标准绘制ROC曲线,评价两种影像学检查方法: 对乳腺良恶性病变的诊断效能,用Z检验对ROC曲线下面积进行比较;采用χ2检验比较乳腺MRI和DBT检查对乳腺良恶性病变检出率、诊断准确率的差异;采用Pearson相关性分析MRI、DBT术前评估乳腺病灶大小的准确度。结果: MRI、DBT对乳腺良性病变的检出率和准确率分别为91.4%、75.9%和89.7%、67.2%,差异有统计学意义(χ2=5.098、8.617,P < 0.05或P < 0.01);MRI、DBT对乳腺恶性病变的检出率和准确率分别为98.4%、95.1%和94.3%、91.8%,差异无统计学意义(χ2=2.068、0.569,均P>0.05)。MRI、DBT诊断致密型乳腺病变的ROC曲线下面积分别为0.910、0.832,差异无统计学意义(Z=1.860,P>0.05)。MRI、DBT诊断致密型乳腺良恶性病变的敏感度分别为93.3%、86.7%,特异度分别为68.3%、79.1%。DBT、MRI测量值与病理测量结果呈正相关(r=0.887、0.949,均P < 0.01)。结论: DBT简单易行,能较好地诊断致密腺体背景下乳腺的良恶性病变,尤其对乳腺恶性病变的诊断效能与乳腺MRI相近。


关键词: 乳腺肿瘤/影像学诊断,  乳腺肿瘤/病理学,  乳腺疾病/影像学诊断,  乳腺疾病/病理学,  磁共振波谱学,  体层摄影术, X线计算机/方法,  病例对照研究 
Fig 1 ROC curves of MRI and digital breast tomosynthesis(DBT) in diagnosis of benign and malignant breast lesions
Fig 2 Comparative features of digital breast tomosynthesis (DBT) and MRI images in breast malignant tumors
[1]   王乐, 张明, 石菊芳 et al. 中国女性乳腺癌疾病负担分析[J]. 中华流行病学杂志, 2016, 37 (7): 970- 976
WANG Le , ZHANG Ming , SHI Jufang et al. Disease burden of female breast cancer in China[J]. Chinese Journal of Epidemiology, 2016, 37 (7): 970- 976
doi: 10.3760/cma.j.issn.0254-6450.2016.07.013
[2]   边甜甜, 林青, 李丽丽 et al. 对比数字乳腺断层合成与乳腺X线摄影对致密型乳腺内肿块的诊断价值[J]. 中华放射学杂志, 2015, 49 (7): 483- 487
BIAN Tiantian , LIN Qing , LI Lili et al. Diagnostic value in the evaluation of mass-like lesions in dense breasts:digital breast tomosynthesis versus conventional mammography[J]. Chinese Journal of Radiology, 2015, 49 (7): 483- 487
doi: 10.3760/cma.j.issn.1005-1201.2015.07.002
[3]   DESTOUNIS S . Role of digital breast tomosynthesis in screening and diagnostic breast imaging[J]. Semin Ultrasound CT MR, 2018, 39 (1): 35- 44
doi: 10.1053/j.sult.2017.08.002
[4]   ALZAGHAL A A , DIPIRO P J . Applications of advanced breast imaging modalities[J]. Curr Oncol Rep, 2018, 20 (7): 57
doi: 10.1007/s11912-018-0700-3
[5]   MERCADO C L . BI-RADS update[J]. Radiol Clin North Am, 2014, 52 (3): 481- 487
doi: 10.1016/j.rcl.2014.02.008
[6]   尤超, 顾雅佳, 彭卫军 et al. 采用数字乳腺断层结合合成二维图像对乳腺病变的鉴别诊断价值[J]. 中华放射学杂志, 2017, 51 (11): 828- 833
YOU Chao , GU Yajia , PENG Weijun et al. The differential diagnostic value of digital breast tomosynthesis in combination with synthesized two-dimensional images in breast disease[J]. Chinese Journal of Radiology, 2017, 51 (11): 828- 833
[7]   LAKHANI S R , ELLIS I O , SCHNITT S J et al. WHO classification of tumours of the breast[M]. 4th ed Lyon: IARC Press, 2012.
[8]   WEIGEL S , HEINDEL W , HEIDRICH J et al. Digital mammography screening:sensitivity of the programme dependent on breast density[J]. Eur Radiol, 2017, 27 (7): 2744- 2751
doi: 10.1007/s00330-016-4636-4
[9]   HORVAT J V , KEATING D M , RODRIGUES-DUARTE H et al. Calcifications at digital breast tomosynthesis:imaging features and biopsy techniques[J]. Radiographics, 2019, 39 (2): 307- 318
doi: 10.1148/rg.2019180124
[10]   DE MUNCK L , FRACHEBOUD J , DE BOCK G H et al. Is the incidence of advanced-stage breast cancer affected by whether women attend a steady-state screening program?[J]. Int J Cancer, 2018, 143 (4): 842- 850
doi: 10.1002/ijc.31388
[11]   MALL S , LEWIS S , BRENNAN P et al. The role of digital breast tomosynthesis in the breast assessment clinic:a review[J]. J Med Radiat Sci, 2017, 64 (3): 203- 211
doi: 10.1002/jmrs.2017.64.issue-3
[12]   RAFFERTY E A , DURAND M A , CONANT E F et al. Breast cancer screening using tomosynthesis and digital mammography in dense and nondense breasts[J]. JAMA, 2016, 315 (16): 1784- 1786
doi: 10.1001/jama.2016.1708
[13]   NAKASHIMA K , UEMATSU T , ITOH T et al. Comparison of visibility of circumscribed masses on digital breast tomosynthesis (DBT) and 2D mammography:are circumscribed masses better visualized and assured of being benign on DBT?[J]. Eur Radiol, 2017, 27 (2): 570- 577
doi: 10.1007/s00330-016-4420-5
[14]   LUPARIA A , MARISCOTTI G , DURANDO M et al. Accuracy of tumour size assessment in the preoperative staging of breast cancer:comparison of digital mammography, tomosynthesis, ultrasound and MRI[J]. Radiol Med, 2013, 118 (7): 1119- 1136
doi: 10.1007/s11547-013-0941-z
[15]   OZTEKIN P S , KOSAR P N . Magnetic resonance imaging of the breast as a problem-solving method:to be or not to be?[J]. Breast J, 2014, 20 (6): 622- 631
doi: 10.1111/tbj.2014.20.issue-6
[1] ZHENG Yongquan,ZHANG Xiaoqian,CHEN Jiuxia,ZHOU Qi,GAO Hongchang. Metabonomics studies of urine from APP/PS1 mice with early-stage Alzheimer's disease[J]. J Zhejiang Univ (Med Sci), 2018, 47(6): 636-642.
[2] DING Yuan,SUN Zhongquan,ZHANG Wenyan,ZHANG Xiangying,JIANG Yuancong,YAN Sheng,WANG Weilin. Application of enhanced recovery program in laparoscopic distal pancreatectomy[J]. J Zhejiang Univ (Med Sci), 2017, 46(6): 625-629.
[3] PAN Jingying, HE Mengye, KE Wei, HU Menglin, WANG Meifang, SHEN Peng. Advances on correlation of PET-CT findings with breast cancer molecular subtypes, treatment response and prognosis[J]. J Zhejiang Univ (Med Sci), 2017, 46(5): 473-480.
[4] CHEN Zhiqiang, WANG Ying, MI Xianjun, DUAN Lifeng, CHEN Ang, HUANG Huayong. Volume of 4% neutral buffered formaldehyde affects the results of HER2 gene detected by fluorescence in situ hybridization in primary invasive breast cancer[J]. J Zhejiang Univ (Med Sci), 2017, 46(4): 439-444.
[5] TIAN Hua, CHEN Yang, ZHAO Jiangang, LIU Daren, LIANG Gang, GONG Weihua, CHEN Li, WU Yulian. Effects of siRNAs targeting CD97 immune epitopes on biological behavior in breast cancer cell line MDA-MB231[J]. J Zhejiang Univ (Med Sci), 2017, 46(4): 341-348.
[6] CHEN Yiming, ZHANG Wen, LU sha, MEI Jin, WANG Hao, WANG Shan, GU Linyuan, ZHANG Lidan, CHU Xuelian. Maternal serum alpha fetoprotein and free β-hCG of second trimester for screening of fetal gastroschisis and omphalocele[J]. J Zhejiang Univ (Med Sci), 2017, 46(3): 268-273.
[7] CHEN Gang,ZHANG Ding,YING Yacao,WANG Zhifeng,TAO Wei,ZHU Hao,ZHANG Jingfeng,PENG Zhiyi. Clinical investigation on transarterial chemoembolization with indigenous drug-eluting beads in treatment of unresectable hepatocellular carcinoma[J]. J Zhejiang Univ (Med Sci), 2017, 46(1): 44-51.
[8] XIA Guangfa, ZHU Juanying, YUAN Jun, CAO Bo, TANG Jie, CHEN Yiding. Efficacy of adjuvant endocrine therapy in breast cancer patients with a positive-to-negative switch of hormone receptor status after neoadjuvant chemotherapy[J]. J Zhejiang Univ (Med Sci), 2016, 45(6): 614-619.
[9] FANG Minbo, CHEN Qixing, WU Shuijing, FANG Xiangming. Association of single nucleotide polymorphism in exon of transient receptor potential melastatin 2 gene with sepsis[J]. J Zhejiang Univ (Med Sci), 2016, 45(4): 410-415.
[10] WANG Jiaochen, WENG Shouxiang, JIN Xiaofen, YU Wenjie, ZHOU Tao, GAN Meifu. Neuroendocrine differentiation and Wilms' tumor protein-1 expression in breast mucinous carcinoma and their significance[J]. J Zhejiang Univ (Med Sci), 2016, 45(1): 45-50.
[11] CAO Pei-long,et al. Expressions of FOXC1 and MMP-7 in molecular subtypes of breast cancer and their association with clinicopathological characteristics [J]. J Zhejiang Univ (Med Sci), 2014, 43(4): 406-412.
[12] ZHOU Mei-qi,et al. Prospect and guideline update of sentinel lymph node biopsy for patients with early-stage breast carcinoma[J]. J Zhejiang Univ (Med Sci), 2014, 43(4): 381-387.
[13] LOU Yi-ping, YAN Shen-qiang, ZHANG Sheng, CHEN Zhi-cai, WAN Jin-ping, LOU Min. Impact of atrial fibrillation on clinical outcome in patients with acute ischemic stroke undergoing thrombolytic therapy[J]. J Zhejiang Univ (Med Sci), 2014, 43(1): 28-35.
[14] WENG Xiu-Mei, PAN Jian-Ping. Bone alkaline phosphatase and N-MID osteocalcin in monitoring of osteoporosis treatment with recombinant human parathyroid hormone 1-34[J]. J Zhejiang Univ (Med Sci), 2013, 42(5): 578-582.
[15] LIU Weibo,YU Hualiang,JIANG Biao,ZHENG Leilei,YU Shaohua,PAN Bing,YU Risheng. Correlation of neurochemical metabolism with memory function in young adult patients with first-episode depression studied with proton magnetic resonance spectroscopy[J]. J Zhejiang Univ (Med Sci), 2013, 42(4): 450-.