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Value of MRI sequences for prediction of invasive breast carcinoma size
Author(s) -
DururSubasi Irmak,
DururKarakaya Afak,
Karaman Adem,
Demirci Elif,
Alper Fatih,
YılmazelUcar Elif,
Acemoglu Hamit,
Akcay Mufide Nuran
Publication year - 2014
Publication title -
journal of medical imaging and radiation oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.31
H-Index - 43
eISSN - 1754-9485
pISSN - 1754-9477
DOI - 10.1111/1754-9485.12205
Subject(s) - medicine , magnetic resonance imaging , breast mri , diffusion mri , nuclear medicine , radiology , effective diffusion coefficient , breast carcinoma , contrast (vision) , lesion , breast cancer , pathology , mammography , cancer , artificial intelligence , computer science
In this retrospective study, we compared transverse short tau inversion recovery ( STIR ), transverse diffusion‐weighted imaging ( DWI ), apparent diffusion coefficient ( ADC ) map and first post‐contrast fat‐saturated fast low‐angle shot ( FLASH ) 3D T1 with pathology results in terms of their accuracy in estimating breast carcinoma size. Methods Magnetic resonance imaging data for 47 patients with invasive breast carcinoma, who were treated surgically, were reviewed. The longest dimension ( LD ) of the index lesion was measured using STIR , DWI , ADC map and first post‐contrast FLASH 3D T1 , and this was compared with the LD measured on the pathology specimen. Results All four MRI sequences overestimated the LD by an average of about 1 mm with 95% limits of agreement approximately 0 to 2 mm. This is not considered to be clinically significant in tumours of 10 mm or larger. Conclusion Magnetic resonance imaging serves as an accurate tool in sizing breast carcinomas. ADC may be a useful evaluation tool for sizing carcinomas without requiring contrast material.