Open AccessA Clinical Approach to Diffusion-Weighted Magnetic Resonance Imaging in Evaluating Chest Wall Invasion of Breast Tumors
Author(s) -
Naziya Samreen,
Christine Lee,
Asha A Bhatt,
Jodi M. Carter,
Tina J. Hieken,
Kalie Adler,
Shan N. Zingula,
Katri. Glazebrook
Publication year - 2019
Publication title -
journal of clinical imaging science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.279
H-Index - 18
eISSN - 2156-7514
pISSN - 2156-5597
DOI - 10.25259/jcis_97_18
Subject(s) - medicine , magnetic resonance imaging , pectoralis muscle , radiology , effective diffusion coefficient , diffusion mri , thoracic wall , pectoralis major muscle , pathology , surgery
Objective: 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. Materials and Methods: 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. Results: 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 2 in the tumor and 1.29 s/mm 2 in the chest wall. Sensitivity, specificity, positive predictive value and negative predictive value were 100%, 36%, 63%, and 100% for chest wall enhancement respectively and 69%, 36%, 61%, and 80% for chest wall diffusion-weighted imaging restriction respectively. Conclusion: Diffusion weighted sequences can be helpful in characterizing chest wall invasion of breast tumors.