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Investigation of the optimal b-value to detect breast tumors with diffusion weighted imaging by 1.5-T MRI
- Source :
- Cancer Imaging
- Publication Year :
- 2014
- Publisher :
- Springer Science and Business Media LLC, 2014.
-
Abstract
- Background Previous studies have reported that the signal attenuation of diffusion-weighted magnetic resonance imaging (DWI) for normal breast tissue and tumor were well fitted by a monoexponential and a biexponential function, respectively. The aim of this study was to investigate the optimal b-value to detect breast tumors from DWI signal attenuations. Methods Sixty-four subjects with breast cancer underwent DWI using six b-values up to 3500 s/mm2. The signal attenuations of normal breast and tumor were fitted by mono- and biexponential functions, respectively. The maximum contrast b-values were estimated and compared in terms of frequency. Results In almost all cases, the contrast increased with a b-value from 0 to approximately 1500 s/mm2. For b > 1500 s/mm2, the contrast decreased. The highest contrast b-value in the range of 0 to 2500 s/mm2 most frequently was b = 1500 and the next most frequent was 1400 s/mm2. Comparing sensitivity and specificity between b = 700 and b = 1400 s/mm2, b =1400 s/mm2 was slightly superior. Conclusion Based on these results, DWI with a b-value of approximately 1400-1500 s/mm2 is recommended for optimizing breast tumor detectability.
- Subjects :
- Adult
medicine.medical_specialty
media_common.quotation_subject
Breast Neoplasms
Breast tumor
Breast cancer
medicine
Humans
Contrast (vision)
Effective diffusion coefficient
Case Series
Radiology, Nuclear Medicine and imaging
Aged
media_common
Aged, 80 and over
Radiological and Ultrasound Technology
medicine.diagnostic_test
business.industry
Magnetic resonance imaging
General Medicine
Middle Aged
medicine.disease
Diffusion Magnetic Resonance Imaging
Oncology
Female
Radiology
business
Nuclear medicine
Normal breast
Diffusion MRI
Subjects
Details
- ISSN :
- 14707330 and 14001500
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- Cancer Imaging
- Accession number :
- edsair.doi.dedup.....b74263cc2b8c6799208fa6b165a5e9ea
- Full Text :
- https://doi.org/10.1186/1470-7330-14-11