Literature DB >> 12585659

Maximum intensity projection analysis in magnetic resonance of the breast.

A Carriero1, A Di Credico, M Mansour, L Bonomo.   

Abstract

The aim of this study was to determine the sensitivity, specificity and accuracy of vascular asymmetries and vessel location seen using MR Maximum Intensity Projection imaging for malignant and benign lesions. We enrolled 101 women, with an age ranging from 29 to 69 years (mean age of 53.1 years), with a mammary nodule and candidate for surgical intervention. MR was carried out using a 1.5 Tesla superconductive magnet, equipped with a double and bilateral Phased Array dedicated coil. All images obtained were processed using MIP. The relationship between an asymmetry due to a greater amount of vascular structures in the breast with a malignant neoplasm and symmetry with benign neoplasms were statistically significant (p < 0.001): sensitivity of 71.8%, specificity 100% and accuracy 76.2%. The relationship between perilesional or intralesional vessels with malignant versus benign neoplasms were statistically significant (p < 0.001): sensitivity 88.5%, specificity 82.6% and accuracy 87.1%. We concluded that asymmetries between breasts and the presence of perilesional or intralesional vessels seen in MIP images are important signs and, therefore, must be reported.

Entities:  

Mesh:

Year:  2002        PMID: 12585659

Source DB:  PubMed          Journal:  J Exp Clin Cancer Res        ISSN: 0392-9078


  6 in total

1.  Contrast-enhanced 3.0-T breast MRI for characterization of breast lesions: increased specificity by using vascular maps.

Authors:  A C Schmitz; N H G M Peters; W B Veldhuis; A M Fernandez Gallardo; P J van Diest; G Stapper; R van Hillegersberg; W P Th M Mali; M A A J van den Bosch
Journal:  Eur Radiol       Date:  2007-09-20       Impact factor: 5.315

2.  Contrast-enhanced MR imaging of the breast: association between asymmetric increased breast vascularity and ipsilateral cancer in a consecutive series of 197 patients.

Authors:  N Verardi; G Di Leo; L A Carbonaro; M P Fedeli; F Sardanelli
Journal:  Radiol Med       Date:  2012-08-08       Impact factor: 3.469

3.  A novel functional infrared imaging system coupled with multiparametric computerised analysis for risk assessment of breast cancer.

Authors:  Tamar Sella; Miri Sklair-Levy; Maya Cohen; Mona Rozin; Myra Shapiro-Feinberg; Tanir M Allweis; Eugene Libson; David Izhaky
Journal:  Eur Radiol       Date:  2012-12-06       Impact factor: 5.315

4.  Adjacent vessel sign and breast imaging reporting and data system are valuable for diagnosis of benign and malignant breast lesions.

Authors:  Suhong Zhao; Ru Tan; Jianjun Xiu; Xianshun Yuan; Qingwei Liu
Journal:  Biotechnol Biotechnol Equip       Date:  2014-10-29       Impact factor: 1.632

5.  Does three-dimensional functional infrared imaging improve breast cancer detection based on digital mammography in women with dense breasts?

Authors:  Roxanna J Hellgren; Ann E Sundbom; Kamila Czene; David Izhaky; Per Hall; Paul W Dickman
Journal:  Eur Radiol       Date:  2019-05-21       Impact factor: 5.315

6.  Breast Contrast Enhanced MR Imaging: Semi-Automatic Detection of Vascular Map and Predominant Feeding Vessel.

Authors:  Antonella Petrillo; Roberta Fusco; Salvatore Filice; Vincenza Granata; Orlando Catalano; Paolo Vallone; Maurizio Di Bonito; Massimiliano D'Aiuto; Massimo Rinaldo; Immacolata Capasso; Mario Sansone
Journal:  PLoS One       Date:  2016-08-29       Impact factor: 3.240

  6 in total

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