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乳腺影像与容积导航技术初步应用的临床分析

Clinical Analysis of the Preliminary Application of Breast Imaging and Volume Navigation Technology
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摘要 目的研究乳腺影像与容积导航技术初步临床应用效果。方法回顾分析2020年5月-2021年3月在我院诊治的20例乳腺疾病患者临床资料,所有病例均经临床手术切除,并由病理证实。所有患者均进行超声、X线以及MRI检查,观察各检查方法检出结果、超声融合MRI容积导航下定位病灶后穿刺活检或手术切除病理类型分布结果。结果20例患者中,恶性病变13例(65.00%),良性病变7例(35.00%),病变直径8~47 mm,平均直径16 mm;8例患者进行X线检查,超声检查结果显示18例异常,2例超声未见明显异常;20例患者MRI检查均发现异常强化,进行MRI图像与超声图像融合技术可所有病变在MRI图像与超声图像位移范围为1~18 mm,平均位移为(6±3)mm。结论应用MRI-超声影像融合及实时容积导航技术定位MRI检查中异常强化病变,图像配比性良好,可促进超声隐匿性乳腺病变的检出。 Objective To study the clinical effect of breast imaging and volume navigation technique.Methods The clinical data of 20 patients with breast diseases diagnosed and treated in our hospital from May 2020 to March 2021 were retrospectively analyzed.All cases were surgically removed and confirmed by pathology.All patients were examined by ultrasound,X-ray and MRI.The results of each examination method,the distribution of pathological types after puncture biopsy or surgical resection under volume navigation of ultrasound fusion MRI were observed.Results Of the 20 patients,13 patients(65.00%)were malignant,7 patients(35.00%)were benign,the diameter ranged from 8-47 mm,the average diameter was 16 mm.X-ray examination was performed in 8 patients.The results of ultrasonography showed 18 cases were abnormal,and 2 cases had no obvious abnormalities.Abnormal enhancement was found in the MRI examination of 20 patients,the fusion technology of MRI image and ultrasonic image could make the displacement range of all lesions in MRI image and ultrasonic image 1-18 mm,and the average displacement was(6±3)mm.Conclusion The application of MRI-ultrasound image fusion and real-time volume navigation technology to locate the abnormal enhancement lesions in MRI examination has good image matching,which can promote the detection of ultrasonic occult breast lesions.
作者 刘雪静 路红 徐熠琳 李小康 朱鹰 LIU Xue-jing;LU Hong;XU Yi-lin;LI Xiao-kang;ZHU Ying(Department of Breast Imaging,Tianjin Medical University Cance Institute and Hospital/National Clinical Research Center of Cancer/Key Laboratory of Breast Cancer Prevention and Therapy of Education Ministry/Key Laboratory of Cancer Prevention and Therapy of Tianjin/Tianjin Malignant Tumor Clinical Medical Research Center,Tianjin 300060,China)
出处 《医学信息》 2022年第11期161-164,共4页 Journal of Medical Information
关键词 乳腺癌 超声 MRI 图像融合 Breast cancer Ultrasound MRI Image fusion
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  • 1顾继英,苏一巾,杜联芳.三维超声成像对乳腺肿块诊断价值的初步探讨[J].中国超声医学杂志,2007,23(1):67-69. 被引量:33
  • 2沈建红,罗葆明,欧冰,冯霞,杨海云.乳腺恶性病变超声诊断的Logistic回归模型[J].中国医学影像技术,2007,23(1):88-90. 被引量:28
  • 3Flobbe K, Nelemans PJ, Kessels AG, et al. The role ofultrasonography as an adjunct to mammography in the detection of breast cancer: a systematic review [J]. Eur ] Cancer, 2002, 38 (8): 1044-1050.
  • 4Chou YH, Tiu CM, Chen J. et al. Automated full-field breast ultrasonography: the past and the present [J] .] Med Ultrasound, 2007,15(1):31-44.
  • 5Wehrle NK, Hellerhoff K, Notohamiprodjo M, et al. Automated breast volume scanner (ABVS): a new approach for breast imaging [J]. Radiologe, 2010, 50 (11): 973-981. DOl: 10.1007/ sOOl17-01 0-2068-8.
  • 6Chang JM, Cha JH, Park JS, et al. Automated breast ultrasound system (ABUS): reproducibility of mass localization, size measurement, and characterization on serial examinations [J] ' Acta Raiol, 2015, 56 (10): 1163-1170. DOl: 10, 1177/ 0284185114551565.
  • 7Tozaki M, Isobe S, Yamaguchi M, et al. Optimal scanning technique to cover the whole breast using an automated breast volume scanner[J] . J pn J Radiol, 2010,28 (4) : 325-328. DOl: 10. 1007/ sI1604-01O-0424-2.
  • 8DeSantis C, Siegel R, Bandi P, et al. Breast cancer statistics, 2011 [J] . CACancerJ Clin, 2011, 61 (6): 408-418.
  • 9Hollemhorst M, Hansen C, Huttebrauker N, et al. Ultrasound computed tomography in breast imaging: first clinical results of a custom-made scanner [J]. Ultraschall Med, 2010, 31 (6) 604-609.
  • 10Kam JK, Naidu P, Rose AK, et al. Five-year analysis of mag- netic resonance imaging as a screening tool in women at heredi- tary risk of breast cancer [J]. J Med Imaging Radiat Oncol, 2013, 57 (4): 400-406.

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