期刊文献+

常规超声与自动乳腺全容积成像对浸润性导管癌三维测量的对比分析 被引量:7

Comparative analysis on three-dimensional assessment of breast invasive ductal carcinoma by conventional ultrasound and automated breast volume scanner
下载PDF
导出
摘要 目的比较常规超声与自动乳腺全容积成像(ABVS)三维测量浸润性导管癌大小的准确性。方法选取经病理证实的乳腺浸润性导管癌患者52例,常规超声与ABVS分别测量肿瘤最大直径,计算肿瘤体积、表面积;医学图像处理软件Mimics 17.0重建肿瘤的三维模型并计算肿瘤体积(Mimics体积)。分析常规超声、ABVS的测量值及Mimics体积与病理测值的相关性,并对其相关系数进行比较。以T2为临界点,ROC曲线分析各测量值对预测T2期肿瘤的准确性,并进行比较。结果常规超声所测最大直径、体积及表面积与病理测值的相关系数分别为0.543、0.639、0.650(均P=0.000),三者评估肿瘤大小的ROC曲线下面积分别为0.777、0.767、0.793;ABVS所测最大直径、体积和表面积与病理测值的相关系数分别为0.736、0.820、0.830(均P=0.000),三者评估肿瘤大小的ROC曲线下面积分别为0.885、0.921、0.902;Mimics体积与病理所测体积的相关系数为0.856(P=0.000),ROC曲线下面积为0.938。ABVS测量体积和面积的准确性均高于常规超声,差异均有统计学意义(P=0.018、0.040);在测量最大直径方面二者比较差异无统计学意义。结论二维测量参数与三维测量参数之间比较差异无统计学意义,但三维测量的准确性高于二维测量;ABVS测量肿瘤大小的准确性高于常规超声。ABVS测量肿瘤的三维大小是一种可靠的影像学方法,可更准确地反映肿瘤的形态特征和生物学特性。 Objective To compare the accuracy of conventional utrasonography(US)and automated breast volume scanner(ABVS)in three-dimensional assessment of primary breast invasive ductal carcinoma. Methods Fifty-two patients with invasive ductal carcinoma were included in our study. The maximal tumor diameter(MD),the tumor volume(TV)and surface area(TSA)were calculated by US and ABVS. The volume measures were also obtained from ABVS data with a software dedicated to3 D reconstruction(Materialise 's interactive medical image control system 17. 0,Mimics). The two- dimensional and three-dimensional parameters of US and ABVS,and Mimics volume were evaluated by calculating correlation coefficients when compared with pathological measurements. Taking T2 classification as the critical point,the accuracy of the measurements for predicting T2 classification was analyzed by the ROC curves,and the statistical significant differences were tested. Results The correlation coefficient of MD,TV and TSA of US and pathology was 0.543,0.639,0.650(all P =0.000),and the area under the ROC curves of these three parameters were 0.777,0.767,0.793.The correlation coefficient of MD,TV and TSA of ABVS and pathology was 0.736,0.820,0.830(all P=0.000),and the area under the ROC curves of these three parameters was 0.885,0.921,0.902,respectively. The correlation coefficient of Mimics volume and pathology was 0.856(P=0.000),and the area under the ROC curves was 0.938. The accuracy of ABVS in measurement of volume and area was higher than that of US,there was significant difference(P = 0. 018,0. 040),while there was no significant difference in measurement of MD. Conclusion There are no statistical significant differences between two-dimensional and three-dimensional parameters. However,the accuracy of three-dimensional parameters is higher than two-dimensional parameters. The accuracy of ABVS measurements is higher than US with statistical significant differences. ABVS is a reliable tool for three-dimensional measurements,which allows a more accurate morphologic and biological description of the lesions.
出处 《临床超声医学杂志》 2016年第6期384-388,共5页 Journal of Clinical Ultrasound in Medicine
关键词 超声检查 自动乳腺全容积成像 三维测量 乳腺肿瘤 Ultrasonography Automated breast volume scanner Three-dimensional measurement Breast tumor
  • 相关文献

参考文献13

  • 1Gtith U, Brenckle D, Huang D J, et al.Three-dimensional pathological size assessment in primary breast carcinoma [ J ]. Breast Cancer Res Treat, 2009,116(2) : 257-262.
  • 2Michaelson JS, Silverstein M, Wyatt J, et al. Predicting the survival of patients with breast carcinoma using tumor size[ J ]. Cancer, 2002, 95(4):713-723.
  • 3徐超丽,魏淑萍,谢迎东,傅宁华,杨斌.超声自动全容积扫描与弹性成像对乳腺病变的鉴别诊断[J].临床超声医学杂志,2015,17(1):9-12. 被引量:13
  • 4Keune JD, Jeffe DB, Schootman M, et al. Accuracy of uhrasonography and mammography in predicting pathologic response after neoadjuvant chemotheraphy for breast cancer[J]. Am J Surg, 2010, 199(4): 477 -484.
  • 5Wapnir IL, Wartenberg DE, Greco RS. Three dimensional staging of breast eancer[J]. Breast Cancer Res Treat, 1996, 41 ( 1 ) : 15-19.
  • 6Wapnir IL, Barnard N, Wartenberg D, et al.The inverse relationship between microvessel counts and tumor volume in breast cancer [J]. Breast J, 2001,7(3) : 184-188.
  • 7Cho N,Im SA,Park IA,et al.Breast cancer: early prediction of response to neoadjuvant chemotherapy using parametric response maps for MR imaging[J]. Radiology, 2014,272(2):385-396.
  • 8Andea AA, Bouwman D, Wallis T, et al.Correlation of tumor volume and surface area with lymph node status in patients with multifocal/ multicentricbreast carcinoma[ J ]. Cancer, 2004,100( 1 ) :20-27.
  • 9Yi A,Cho N,Im SA,et al.Survival outcomes of breast cancer patients who receive neoadjuvant chemotherapy:association with dynamiecontrast-enhanced MR imaging with computer-aided evaluation[ J ]. Radiology, 2013,268(3 ) : 662-672.
  • 10Eisenhauer EA, Therasse P, Bogaerts J, et al.New response evaluation criteria in solid tumours : Revised RECIST guideline (version 1.1 ) [J]. Eur J Cancer, 2009, 45 (2) : 228-247.

二级参考文献9

  • 1Kolb TM, Lichy J, Newhouse JH. Comparison of the performance of screening mammography,physieal examination, and breasl US and evaluation of factors that influence them: an analysis of 27,825patient evaluations. Radiology, 2002, 225( 1 ): 165-175.
  • 2Mendelson EB, Baum JK, Berg WA. Breast imaging reporting and data system: ultrasound. Reston: American College of Radiology, 2003 : 3-81.
  • 3Itoh A, Ueno E, Tohno E, et al. Breast disease: clinical application of US elastography hr diagnosis. Radiology, 2006,239( 2 ) : 341-350.
  • 4Wojcinski S, Farrokh A, Hille U, et al. The automated breast volume sazmer ( A BVS ) : initial experieuces in lesion detection compared with conventional handheld B-mode ultrasound: a pilot study of 50 cases. hat J womens health, 2010, 2011 ( 3 ) : 337-346.
  • 5Lin X, Wang J, Han F, et al. Analysis of eighty-one cases with breast lesions using automated breast volume scanner anti comparison with Imndheld u Itrasound.Eur J Radiol, 2012, 81 ( 5 ) : 873-878.
  • 6Wang HY, Jiang YX, Zhu QI., et al. Differentiation of benign and malignant breast lesions: a comparison between automatically generated breast volume scans and handheld ultrasound examinations. EurJ Radiol, 2012, 81(11 ): 3190-3200.
  • 7章瑾,钱纪江.超声自动乳腺全容积成像和乳腺弹性成像技术对乳腺良恶性肿瘤的鉴别诊断[J].中国农村卫生事业管理,2013,33(1):72-74. 被引量:13
  • 8黄丽华,范俊生,殷宏红,贾验青.超声弹性成像评价乳腺肿块图像质量的影响因素[J].中国医学影像技术,2013,29(4):565-568. 被引量:8
  • 9王艳华,张帆,贺立新,宋晓燕.超声弹性成像技术诊断乳腺病变的研究进展[J].内蒙古医学杂志,2012,44(12):1453-1456. 被引量:1

共引文献12

同被引文献46

引证文献7

二级引证文献69

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部