Literature DB >> 28452624

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

Matthias Meissnitzer1, D David Dershaw1, Kimberly Feigin1, Blanca Bernard-Davila1, Filipe Barra1, Elizabeth A Morris1.   

Abstract

OBJECTIVE: This study was undertaken to examine the characteristics of cancers detected at the earliest possible point on MRI and to determine their significance.
METHODS: This institutional review board-approved Health Insurance Portability and Accountability Act-compliant retrospective study evaluated invasive breast cancers ≤1 cm histologically. MRI was performed within 6 months before diagnosis. Between 1 January 2005 and 31 December 2015, 163 cancers in 161 patients were evaluated. Breast Imaging-Reporting and Data System lesion characteristics were assessed by two radiologists independently. In cases of disagreement, arbitration by a third reader was performed.
RESULTS: Cancers ≤1 cm became more obviously malignant as they enlarged with regard to shape (p = 0.021), margin (p = 0.0006), internal enhancement (p = 0.0158) and kinetics (p = 0.0001). Cancers ≤5 mm had benign characteristics of circumscribed margins in 71% (71/100), round/oval shape in 67% (67/100) and persistent enhancement in 41% (41/100). High T2 signal was found in 17% (28/62), distributed equally among different sizes (p = 0.3920). In ≤5-mm cancers (59%, 12/29), a comparison study to show interval growth was more often needed to determine the need for biopsy. When interval growth determined biopsy, this was evident within 24 months and cancers remained node negative despite this delay.
CONCLUSION: Benign characteristics are present in most invasive cancers ≤5 mm. Small cancers on MRI may need to demonstrate growth to determine need for biopsy. Advances in knowledge: MR lesion characteristics may not be helpful in determining whether small lesions on MR are benign or malignant. However, as 97% of cancers in our study showed interval change when a prior MR for comparison was available, new lesions or increasing size should lead to consideration of biopsy.

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Year:  2017        PMID: 28452624      PMCID: PMC5602188          DOI: 10.1259/bjr.20170102

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  21 in total

1.  Dynamic high-spatial-resolution MR imaging of suspicious breast lesions: diagnostic criteria and interobserver variability.

Authors:  K Kinkel; T H Helbich; L J Esserman; J Barclay; E H Schwerin; E A Sickles; N M Hylton
Journal:  AJR Am J Roentgenol       Date:  2000-07       Impact factor: 3.959

2.  Dynamic breast MR imaging: are signal intensity time course data useful for differential diagnosis of enhancing lesions?

Authors:  C K Kuhl; P Mielcareck; S Klaschik; C Leutner; E Wardelmann; J Gieseke; H H Schild
Journal:  Radiology       Date:  1999-04       Impact factor: 11.105

3.  Frequency of malignancy seen in probably benign lesions at contrast-enhanced breast MR imaging: findings from ACRIN 6667.

Authors:  Susan P Weinstein; Lucy G Hanna; Constantine Gatsonis; Mitchell D Schnall; Mark A Rosen; Constance D Lehman
Journal:  Radiology       Date:  2010-06       Impact factor: 11.105

4.  Mammography, breast ultrasound, and magnetic resonance imaging for surveillance of women at high familial risk for breast cancer.

Authors:  Christiane K Kuhl; Simone Schrading; Claudia C Leutner; Nuschin Morakkabati-Spitz; Eva Wardelmann; Rolf Fimmers; Walther Kuhn; Hans H Schild
Journal:  J Clin Oncol       Date:  2005-11-20       Impact factor: 44.544

5.  The effect of changes in tumor size on breast carcinoma survival in the U.S.: 1975-1999.

Authors:  Elena B Elkin; Clifford Hudis; Colin B Begg; Deborah Schrag
Journal:  Cancer       Date:  2005-09-15       Impact factor: 6.860

6.  Do T2-weighted pulse sequences help with the differential diagnosis of enhancing lesions in dynamic breast MRI?

Authors:  C K Kuhl; S Klaschik; P Mielcarek; J Gieseke; E Wardelmann; H H Schild
Journal:  J Magn Reson Imaging       Date:  1999-02       Impact factor: 4.813

7.  Diagnostic accuracy of mammography, clinical examination, US, and MR imaging in preoperative assessment of breast cancer.

Authors:  Wendie A Berg; Lorena Gutierrez; Moriel S NessAiver; W Bradford Carter; Mythreyi Bhargavan; Rebecca S Lewis; Olga B Ioffe
Journal:  Radiology       Date:  2004-10-14       Impact factor: 11.105

Review 8.  Systematic review: using magnetic resonance imaging to screen women at high risk for breast cancer.

Authors:  Ellen Warner; Hans Messersmith; Petrina Causer; Andrea Eisen; Rene Shumak; Donald Plewes
Journal:  Ann Intern Med       Date:  2008-05-06       Impact factor: 25.391

9.  MRI of occult breast carcinoma in a high-risk population.

Authors:  Elizabeth A Morris; Laura Liberman; Douglas J Ballon; Mark Robson; Andrea F Abramson; Alexandra Heerdt; D David Dershaw
Journal:  AJR Am J Roentgenol       Date:  2003-09       Impact factor: 3.959

10.  Breast Cancers Detected at Screening MR Imaging and Mammography in Patients at High Risk: Method of Detection Reflects Tumor Histopathologic Results.

Authors:  Janice S Sung; Sarah Stamler; Jennifer Brooks; Jennifer Kaplan; Tammy Huang; D David Dershaw; Carol H Lee; Elizabeth A Morris; Christopher E Comstock
Journal:  Radiology       Date:  2016-04-20       Impact factor: 11.105

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  5 in total

1.  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

Review 2.  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

3.  Improved value of whole-lesion histogram analysis on DCE parametric maps for diagnosing small breast cancer (≤ 1 cm).

Authors:  Tianwen Xie; Qiufeng Zhao; Caixia Fu; Robert Grimm; Yajia Gu; Weijun Peng
Journal:  Eur Radiol       Date:  2021-09-09       Impact factor: 7.034

4.  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

5.  Radiomics and Machine Learning with Multiparametric Breast MRI for Improved Diagnostic Accuracy in Breast Cancer Diagnosis.

Authors:  Isaac Daimiel Naranjo; Peter Gibbs; Jeffrey S Reiner; Roberto Lo Gullo; Caleb Sooknanan; Sunitha B Thakur; Maxine S Jochelson; Varadan Sevilimedu; Elizabeth A Morris; Pascal A T Baltzer; Thomas H Helbich; Katja Pinker
Journal:  Diagnostics (Basel)       Date:  2021-05-21
  5 in total

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