Literature DB >> 24680120

Characteristics and outcome of enhancing foci followed on breast MRI with management implications.

R Ha1, J Sung2, C Lee2, C Comstock2, R Wynn3, E Morris2.   

Abstract

AIM: To evaluate the risk of cancer of an enhancing focus identified at breast magnetic resonance imaging (MRI) by determining the positive predictive value (PPV) associated with specific characteristics of an enhancing focus.
MATERIALS AND METHODS: Retrospective, institutional review board-approved review of the database identified 111 consecutive patients who underwent short-term follow-up of 136 enhancing foci in 2008. Kinetic analysis (delayed enhancement pattern) and other characteristics, such as interval change and T2 signal intensity, were evaluated to calculate the PPV for malignancy.
RESULTS: The overall malignancy rate of an enhancing focus was 2.9% [4/136, 95% confidence interval (CI): 0.9-7.6%]. Kinetic analysis showed no statistical difference in PPV between foci with washout enhancement [5.1% (2/39)] versus persistent enhancement [3.2% (2/62); Fisher's exact test, p = 0.6180]. PPV of a T2 hypointense focus was 8.7% (4/46); PPV of a new focus was 13.6% (3/22); PPV of an enlarging focus was 6.7%, (1/15). The combination of a focus being new and T2 hypointense had the highest PPV for malignancy (27.2%, 3/11, 95% CI: 9.2-57.1%).
CONCLUSION: Kinetic analysis was not specific for malignancy and should not be used solely to guide management. A new enhancing focus with T2 hypointensity had a high PPV for malignancy and may warrant immediate biopsy.
Copyright © 2014 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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Year:  2014        PMID: 24680120     DOI: 10.1016/j.crad.2014.02.007

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  9 in total

1.  Lesion characteristics, histopathologic results, and follow-up of breast lesions after MRI-guided biopsy.

Authors:  Füsun Taşkın; Aykut Soyder; Ahmet Tanyeri; Veli Süha Öztürk; Alparslan Ünsal
Journal:  Diagn Interv Radiol       Date:  2017 Sep-Oct       Impact factor: 2.630

2.  Differentiation between subcentimeter carcinomas and benign lesions using kinetic parameters derived from ultrafast dynamic contrast-enhanced breast MRI.

Authors:  Natsuko Onishi; Meredith Sadinski; Peter Gibbs; Katherine M Gallagher; Mary C Hughes; Eun Sook Ko; Brittany Z Dashevsky; Dattesh D Shanbhag; Maggie M Fung; Theodore M Hunt; Danny F Martinez; Amita Shukla-Dave; Elizabeth A Morris; Elizabeth J Sutton
Journal:  Eur Radiol       Date:  2019-08-29       Impact factor: 5.315

3.  MRI appearance of invasive subcentimetre breast carcinoma: benign characteristics are common.

Authors:  Matthias Meissnitzer; D David Dershaw; Kimberly Feigin; Blanca Bernard-Davila; Filipe Barra; Elizabeth A Morris
Journal:  Br J Radiol       Date:  2017-05-25       Impact factor: 3.039

Review 4.  BI-RADS 3 Assessment on MRI: A Lesion-Based Review for Breast Radiologists.

Authors:  Derek L Nguyen; Kelly S Myers; Eniola Oluyemi; Lisa A Mullen; Babita Panigrahi; Joanna Rossi; Emily B Ambinder
Journal:  J Breast Imaging       Date:  2022-06-28

5.  Foci on breast magnetic resonance imaging in high-risk women: cancer or not?

Authors:  Paola Clauser; Enrico Cassano; Arianna De Nicolò; Anna Rotili; Bernardo Bonanni; Massimo Bazzocchi; Chiara Zuiani
Journal:  Radiol Med       Date:  2016-05-12       Impact factor: 3.469

6.  A machine learning approach for differentiating malignant from benign enhancing foci on breast MRI.

Authors:  Natascha C D'Amico; Enzo Grossi; Giovanni Valbusa; Francesca Rigiroli; Bernardo Colombo; Massimo Buscema; Deborah Fazzini; Marco Ali; Ala Malasevschi; Gianpaolo Cornalba; Sergio Papa
Journal:  Eur Radiol Exp       Date:  2020-01-28

7.  Classification of MR-Detected Additional Lesions in Patients With Breast Cancer Using a Combination of Radiomics Analysis and Machine Learning.

Authors:  Hyo-Jae Lee; Anh-Tien Nguyen; So Yeon Ki; Jong Eun Lee; Luu-Ngoc Do; Min Ho Park; Ji Shin Lee; Hye Jung Kim; Ilwoo Park; Hyo Soon Lim
Journal:  Front Oncol       Date:  2021-12-02       Impact factor: 6.244

8.  The Influence of Data-Driven Compressed Sensing Reconstruction on Quantitative Pharmacokinetic Analysis in Breast DCE MRI.

Authors:  Ping Ni Wang; Julia V Velikina; Leah C Henze Bancroft; Alexey A Samsonov; Frederick Kelcz; Roberta M Strigel; James H Holmes
Journal:  Tomography       Date:  2022-06-14

Review 9.  BI-RADS 3: Current and Future Use of Probably Benign.

Authors:  Karen A Lee; Nishi Talati; Rebecca Oudsema; Sharon Steinberger; Laurie R Margolies
Journal:  Curr Radiol Rep       Date:  2018-01-27
  9 in total

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