A Clinical Approach to Diffusion-Weighted Magnetic Resonance Imaging in Evaluating Chest Wall Invasion of Breast Tumors.

Breast cancer breast tumors chest wall invasion diffusion weighted magnetic resonance imaging

Journal

Journal of clinical imaging science
ISSN: 2156-7514
Titre abrégé: J Clin Imaging Sci
Pays: United States
ID NLM: 101564708

Informations de publication

Date de publication:
2019
Historique:
received: 03 12 2018
accepted: 15 01 2019
entrez: 27 8 2019
pubmed: 27 8 2019
medline: 27 8 2019
Statut: epublish

Résumé

The purpose of this study is to evaluate diffusion weighted magnetic rsonance imaging (MRI) acquisitions in delineating posterior extent of breast tumors and in predicting chest wall invasion prior to treatment. To our knowledge, there has not been any literature specifically evaluating the utility of diffusion-weighted acquisitions in chest wall invasion of breast tumors. A retrospective review of our breast imaging database for keywords "chest wall invasion" and "breast MRI" was performed over the last 14 years. Diffusion sequences, T1 sequences (pre and post contrast), and T2 sequences were evaluated. Apparent diffusion coefficient (ADC) values in tumor and chest wall were assessed. Imaging findings were correlated with surgical pathology. 23 patients met inclusion criteria. All 23 had loss of fat plane on T2 sequences. 22/23 had loss of fat plane on postcontrast T1 sequences. Pectoralis muscle enhancement was present in 19/23 (83%) tumors and chest wall enhancement was present 9/23 (39%) tumors. Qualitative restricted diffusion within the pectoralis muscle was present in 18/23 (71%) tumors and in the chest wall was present in 8/23 (35%) tumors. Mean ADC values were 1.15 s/mm Diffusion weighted sequences can be helpful in characterizing chest wall invasion of breast tumors.

Identifiants

pubmed: 31448162
doi: 10.25259/JCIS_97_18
pii: JCIS-9-11
pmc: PMC6702863
doi:

Types de publication

Journal Article

Langues

eng

Pagination

11

Déclaration de conflit d'intérêts

There are no conflicts of interest.

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Auteurs

Naziya Samreen (N)

Department of Radiology, Mayo Clinic Rochester, MN USA.

Christine Lee (C)

Department of Radiology, Mayo Clinic Rochester, MN USA.

Asha Bhatt (A)

Department of Radiology, Mayo Clinic Rochester, MN USA.

Jodi Carter (J)

Department of Radiology, Laboratory Medicine and Pathology, Mayo Clinic Rochester, MN USA.

Tina Hieken (T)

Department of Radiology, Surgery, Mayo Clinic Rochester, MN USA.

Kalie Adler (K)

Department of Radiology, Mayo Clinic Rochester, MN USA.

Shannon Zingula (S)

Department of Radiology, Mayo Clinic Rochester, MN USA.

Katrina N Glazebrook (KN)

Department of Radiology, Mayo Clinic Rochester, MN USA.

Classifications MeSH