TY - JOUR
T1 - Digital breast tomosynthesis guided near infrared spectroscopy
T2 - Volumetric estimates of fibroglandular fraction and breast density from tomosynthesis reconstructions
AU - Vedantham, Srinivasan
AU - Shi, Linxi
AU - Michaelsen, Kelly E.
AU - Krishnaswamy, Venkataramanan
AU - Pogue, Brian W.
AU - Poplack, Steven P.
AU - Karellas, Andrew
AU - Paulsen, Keith D.
N1 - Funding Information:
The authors thank Chris Ruth, PhD and Yiheng Zhang, PhD from Hologic Inc., for providing information pertaining to the geometry of the prototype DBT system and for computing the breast density and associated parameters using Quantra™. This work was supported in part by National Institutes of Health (NIH)/National Cancer Institute (NCI) grants R01 CA139449 and R21 CA176470. The contents are solely the responsibility of the authors and do not reflect the official views of the NIH or the NCI. Preliminary and partial contentsof this work were presented atthe 56th Annual Meeting of the American Association of Physicists in Medicine (AAPM), Austin, TX, 2014.
Publisher Copyright:
© 2015 IOP Publishing Ltd.
PY - 2015/10/27
Y1 - 2015/10/27
N2 - A multimodality system combining a clinical prototype digital breast tomosynthesis with its imaging geometry modified to facilitate near-infrared spectroscopic imaging has been developed. The accuracy of parameters recovered from near-infrared spectroscopy (NIRS) is dependent on fibroglandular tissue content. Hence, in this study, volumetric estimates of fibroglandular tissue from tomosynthesis reconstructions were determined. A kernel-based fuzzy c-means algorithm was implemented to segment tomosynthesis reconstructed slices in order to estimate fibroglandular content and to provide anatomic priors for NIRS. This algorithm was used to determine volumetric breast density (VBD), defined as the ratio of fibroglandular tissue volume to the total breast volume, expressed as percentage, from 62 tomosynthesis reconstructions of 34 study participants. For a subset of study participants who subsequently underwent mammography, VBD from mammography matched for subject, breast laterality and mammographic view was quantified using commercial software and statistically analyzed to determine if it differed from tomosynthesis. Summary statistics of the VBD from all study participants were compared with prior independent studies. The fibroglandular volume from tomosynthesis and mammography were not statistically different (p = 0.211, paired t-test). After accounting for the compressed breast thickness, which were different between tomosynthesis and mammography, the VBD from tomosynthesis was correlated with (r = 0.809, p < 0.001), did not statistically differ from (p > 0.99, paired t-test), and was linearly related to, the VBD from mammography. Summary statistics of the VBD from tomosynthesis were not statistically different from prior studies using high-resolution dedicated breast computed tomography. The observation of correlation and linear association in VBD between mammography and tomosynthesis suggests that breast density associated risk measures determined for mammography are translatable to tomosynthesis. Accounting for compressed breast thickness is important when it differs between the two modalities. The fibroglandular volume from tomosynthesis reconstructions is similar to mammography indicating suitability for use during NIRS.
AB - A multimodality system combining a clinical prototype digital breast tomosynthesis with its imaging geometry modified to facilitate near-infrared spectroscopic imaging has been developed. The accuracy of parameters recovered from near-infrared spectroscopy (NIRS) is dependent on fibroglandular tissue content. Hence, in this study, volumetric estimates of fibroglandular tissue from tomosynthesis reconstructions were determined. A kernel-based fuzzy c-means algorithm was implemented to segment tomosynthesis reconstructed slices in order to estimate fibroglandular content and to provide anatomic priors for NIRS. This algorithm was used to determine volumetric breast density (VBD), defined as the ratio of fibroglandular tissue volume to the total breast volume, expressed as percentage, from 62 tomosynthesis reconstructions of 34 study participants. For a subset of study participants who subsequently underwent mammography, VBD from mammography matched for subject, breast laterality and mammographic view was quantified using commercial software and statistically analyzed to determine if it differed from tomosynthesis. Summary statistics of the VBD from all study participants were compared with prior independent studies. The fibroglandular volume from tomosynthesis and mammography were not statistically different (p = 0.211, paired t-test). After accounting for the compressed breast thickness, which were different between tomosynthesis and mammography, the VBD from tomosynthesis was correlated with (r = 0.809, p < 0.001), did not statistically differ from (p > 0.99, paired t-test), and was linearly related to, the VBD from mammography. Summary statistics of the VBD from tomosynthesis were not statistically different from prior studies using high-resolution dedicated breast computed tomography. The observation of correlation and linear association in VBD between mammography and tomosynthesis suggests that breast density associated risk measures determined for mammography are translatable to tomosynthesis. Accounting for compressed breast thickness is important when it differs between the two modalities. The fibroglandular volume from tomosynthesis reconstructions is similar to mammography indicating suitability for use during NIRS.
KW - Breast
KW - Breast density
KW - Digital breast tomosynthesis
KW - Mammography
KW - Near-infrared
KW - Spectroscopy
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U2 - 10.1088/2057-1976/1/4/045202
DO - 10.1088/2057-1976/1/4/045202
M3 - Article
AN - SCOPUS:84962574946
SN - 2057-1976
VL - 1
JO - Biomedical Physics and Engineering Express
JF - Biomedical Physics and Engineering Express
IS - 4
M1 - 045202
ER -