Literature DB >> 9370560

Contrast-enhanced breast MRI: factors affecting sensitivity and specificity.

C W Piccoli1.   

Abstract

Contrast-enhanced MRI (CE-MRI) of the breast has been investigated for over 10 years. The reports of sensitivity for cancer detection have generally been greater than 90 %. However, estimates of specificity have varied greatly. Differing results are due to differences in study populations, technical methods and criteria for interpretation. Early and marked signal rise, detected using dynamic imaging technique following contrast administration, is the MRI hallmark of cancer. However, some malignant lesions may enhance slowly or minimally, and a variety of benign lesions may enhance rapidly with marked signal intensity. High resolution techniques generally requiring longer acquisition times are more likely to depict the slowly enhancing malignancies at the cost of a decrease in specificity due to lack of temporal resolution. This disadvantage may be offset by the improved visualization of lesion morphology with high resolution images. This report reviews the methods and results of the leading investigators of breast MRI.

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Year:  1997        PMID: 9370560     DOI: 10.1007/pl00006909

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  7 in total

Review 1.  Noninvasive methods to study drug distribution.

Authors:  Ruediger E Port; Walter Wolf
Journal:  Invest New Drugs       Date:  2003-05       Impact factor: 3.850

2.  Textural kinetics: a novel dynamic contrast-enhanced (DCE)-MRI feature for breast lesion classification.

Authors:  Shannon C Agner; Salil Soman; Edward Libfeld; Margie McDonald; Kathleen Thomas; Sarah Englander; Mark A Rosen; Deanna Chin; John Nosher; Anant Madabhushi
Journal:  J Digit Imaging       Date:  2011-06       Impact factor: 4.056

3.  Surgical attitudes toward preoperative breast magnetic resonance imaging in women with early-stage breast cancer.

Authors:  S D Mukherjee; N Hodgson; P J Lovrics; K Dhamanaskar; S Chambers; J Sussman
Journal:  Curr Oncol       Date:  2019-04-01       Impact factor: 3.677

4.  Combined use of T2-weighted MRI and T1-weighted dynamic contrast-enhanced MRI in the automated analysis of breast lesions.

Authors:  Neha Bhooshan; Maryellen Giger; Li Lan; Hui Li; Angelica Marquez; Akiko Shimauchi; Gillian M Newstead
Journal:  Magn Reson Med       Date:  2011-04-26       Impact factor: 4.668

5.  Evaluation of total choline from in-vivo volume localized proton MR spectroscopy and its response to neoadjuvant chemotherapy in locally advanced breast cancer.

Authors:  N R Jagannathan; M Kumar; V Seenu; O Coshic; S N Dwivedi; P K Julka; A Srivastava; G K Rath
Journal:  Br J Cancer       Date:  2001-04-20       Impact factor: 7.640

6.  Predictive performance of BI-RADS magnetic resonance imaging descriptors in the context of suspicious (category 4) findings.

Authors:  João Ricardo Maltez de Almeida; André Boechat Gomes; Thomas Pitangueiras Barros; Paulo Eduardo Fahel; Mário de Seixas Rocha
Journal:  Radiol Bras       Date:  2016 May-Jun

7.  Selection of diagnostic features on breast MRI to differentiate between malignant and benign lesions using computer-aided diagnosis: differences in lesions presenting as mass and non-mass-like enhancement.

Authors:  Dustin Newell; Ke Nie; Jeon-Hor Chen; Chieh-Chih Hsu; Hon J Yu; Orhan Nalcioglu; Min-Ying Su
Journal:  Eur Radiol       Date:  2009-09-30       Impact factor: 5.315

  7 in total

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