Literature DB >> 10882243

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

K Kinkel1, T H Helbich, L J Esserman, J Barclay, E H Schwerin, E A Sickles, N M Hylton.   

Abstract

OBJECTIVE: Our study was undertaken to develop diagnostic rules and to assess the reproducibility of dynamic and morphologic parameters for the characterization of suspicious breast lesions using dynamic high-spatial-resolution MR imaging.
MATERIALS AND METHODS: Fifty-seven patients with suspicious mammographic or palpable findings underwent preoperative contrast-enhanced MR imaging of the breast using a three-time-point method of acquisition. Each lesion was prospectively analyzed by two independent radiologists for morphologic and visual dynamic enhancement characteristics. A classification and regression tree was used to examine the optimal order, cutoff points, and combination of imaging parameters to build a diagnostic rule separating benign from malignant lesions using histopathology findings as the standard of reference. Kappa statistics were used to determine observer variability.
RESULTS: Among 23 benign and 34 malignant lesions (12 invasive, three ductal carcinoma in situ, and 19 mixed cancer), margin morphology (p = 0.001) and enhancement pattern (p = 0.001) were the most significant MR imaging findings for lesion characterization. Focal mass lesions were classified as malignant when spiculated margins or both the washout enhancement pattern and "nonsmooth" margins were present. Interobserver agreement was almost perfect for washout pattern and substantial for margin assessment. In the limited population tested retrospectively, the diagnostic rule yielded a sensitivity and positive predictive value of 97% each and a specificity and negative predictive value of 96% each.
CONCLUSION: The washout enhancement pattern combined with lesion margin assessment on dynamic contrast-enhanced high-resolution MR imaging of the breast allows reproducible lesion characterization and may be a highly specific diagnostic tool.

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Year:  2000        PMID: 10882243     DOI: 10.2214/ajr.175.1.1750035

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  51 in total

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3.  Assessing heterogeneity of lesion enhancement kinetics in dynamic contrast-enhanced MRI for breast cancer diagnosis.

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5.  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
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6.  A simple scoring system for breast MRI interpretation: does it compensate for reader experience?

Authors:  Maria Adele Marino; Paola Clauser; Ramona Woitek; Georg J Wengert; Panagiotis Kapetas; Maria Bernathova; Katja Pinker-Domenig; Thomas H Helbich; Klaus Preidler; Pascal A T Baltzer
Journal:  Eur Radiol       Date:  2015-10-29       Impact factor: 5.315

7.  Diffusion-weighted imaging of breast tumours at 3 Tesla and 7 Tesla: a comparison.

Authors:  S Gruber; L Minarikova; K Pinker; O Zaric; M Chmelik; B Strasser; P Baltzer; T Helbich; S Trattnig; W Bogner
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8.  Differentiation of malignant and benign breast lesions using magnetization transfer imaging and dynamic contrast-enhanced MRI.

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9.  Morphologic blooming in breast MRI as a characterization of margin for discriminating benign from malignant lesions.

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10.  Dynamic contrast-enhanced MRI of the breast: quantitative method for kinetic curve type assessment.

Authors:  Riham H El Khouli; Katarzyna J Macura; Michael A Jacobs; Tarek H Khalil; Ihab R Kamel; Andrew Dwyer; David A Bluemke
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