Literature DB >> 15786751

High-spatial-resolution MR imaging of focal breast masses: interpretation model based on kinetic and morphological parameters.

Mitsuhiro Tozaki1, Takao Igarashi, Satoshi Matsushima, Kunihiko Fukuda.   

Abstract

PURPOSE: To assess a new interpretation model combining kinetic pattern and morphologic characteristics using high-spatial-resolution MR imaging.
MATERIALS AND METHODS: Breast MR imaging was performed in 58 patients with 63 pathologically proved focal breast masses (49 malignant and 14 benign). MR imaging was performed on a 1.5-Tesla system using the volumetric interpolated breath-hold examination (VIBE) sequence. Morphological parameters were lesion shape, mass margin, rim enhancement (RE), enhancing internal septations, and internal signal on T2-weighted images. Lesion shape/margin was classified into four categories as follows: smooth (smooth/round or smooth/oval), lobulated (lobular shape), irregular (irregular margin or irregular shape), and spiculated (spiculated margin). RE was sub-classified as early RE at 60 sec and delayed RE at 4 min. Strongly high signal and the presence of internal black septations were evaluated over the entire lesion on T2-weighted images. The kinetic parameter was visually assessed as follows: washout, plateau, and progressive.
RESULTS: The most frequent types of lesion shape/margin in the malignant lesions were irregular (47%) and spiculated (43%), whereas 13 of the benign lesions had smooth or lobular margins (93%). The most frequent characteristics in breast cancers with lobulated configuration were washout pattern (80%), whereas 78% of the lobulated benign lesions were negative for visual washout. The positive predictive value (PPV) was 98% (49/50).
CONCLUSION: "Washout with enhancing septations" is thought be specific for carcinoma with a lobulated configuration (80%). A combination of morphological criteria (including lesion shape/margins, strongly high signal on T2-weighted images) and visual washout is useful for differentiating between benign and malignant lesions.

Entities:  

Mesh:

Year:  2005        PMID: 15786751

Source DB:  PubMed          Journal:  Radiat Med        ISSN: 0288-2043


  9 in total

1.  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

2.  Diagnosis of suspicious breast lesions using an empirical mathematical model for dynamic contrast-enhanced MRI.

Authors:  Xiaobing Fan; Milica Medved; Gregory S Karczmar; Cheng Yang; Sean Foxley; Sanaz Arkani; Wendy Recant; Marta A Zamora; Hiroyuki Abe; Gillian M Newstead
Journal:  Magn Reson Imaging       Date:  2006-11-30       Impact factor: 2.546

3.  A simple and robust classification tree for differentiation between benign and malignant lesions in MR-mammography.

Authors:  Pascal A T Baltzer; Matthias Dietzel; Werner A Kaiser
Journal:  Eur Radiol       Date:  2013-04-12       Impact factor: 5.315

4.  Incidentally detected enhancing lesions found in breast MRI: analysis of apparent diffusion coefficient and T2 signal intensity significantly improves specificity.

Authors:  Otso Arponen; Amro Masarwah; Anna Sutela; Mikko Taina; Mervi Könönen; Reijo Sironen; Juhana Hakumäki; Ritva Vanninen; Mazen Sudah
Journal:  Eur Radiol       Date:  2016-04-25       Impact factor: 5.315

5.  MR breast imaging: a comparative analysis of conventional and parallel imaging acquisition.

Authors:  A Orlacchio; F Bolacchi; A Rotili; E Cossu; I Tanga; V Cozzolino; G Simonetti
Journal:  Radiol Med       Date:  2008-06-03       Impact factor: 3.469

6.  Significance of breast lesion descriptors in the ACR BI-RADS MRI lexicon.

Authors:  Garima Agrawal; Min-Ying Su; Orhan Nalcioglu; Stephen A Feig; Jeon-Hor Chen
Journal:  Cancer       Date:  2009-04-01       Impact factor: 6.860

7.  Magnetic resonance mammography in the evaluation of recurrence at the prior lumpectomy site after conservative surgery and radiotherapy.

Authors:  Lorenzo Preda; Gaetano Villa; Stefania Rizzo; Luca Bazzi; Daniela Origgi; Enrico Cassano; Massimo Bellomi
Journal:  Breast Cancer Res       Date:  2006       Impact factor: 6.466

8.  Association of Different MRI BIRADS Descriptors With Malignancy in Non Mass-Like Breast Lesions.

Authors:  Masoumeh Gity; Koosha Ghazi Moghadam; Amir Hossein Jalali; Madjid Shakiba
Journal:  Iran Red Crescent Med J       Date:  2014-12-30       Impact factor: 0.611

9.  The Value of Lesion Size as an Adjunct to the BI-RADS-MRI 2013 Descriptors in the Diagnosis of Solitary Breast Masses.

Authors:  Makiko Kawai; Masako Kataoka; Shotaro Kanao; Mami Iima; Natsuko Onishi; Akane Ohashi; Rena Sakaguchi; Masakazu Toi; Kaori Togashi
Journal:  Magn Reson Med Sci       Date:  2017-12-07       Impact factor: 2.471

  9 in total

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