TY - GEN
T1 - In vivo attenuation estimation in human thyroid nodules using the regularized spectral log difference technique
T2 - 2017 IEEE International Ultrasonics Symposium, IUS 2017
AU - Coila, Andres
AU - Laimes, Rosa
AU - Salazar, Claudia
AU - Rouyer, Julien
AU - Jimenez, Gabriel
AU - Pinto, Joseph A.
AU - Guerrero, Jorge
AU - Lavarello, Roberto
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/10/31
Y1 - 2017/10/31
N2 - In vivo estimation of attenuation coefficients is useful because of its potential for tissue characterization and relevance in accurate backscatter coefficient estimation. Recently, the regularized spectral log difference (RSLD) technique was proposed to extend the trade-off between precision and spatial resolution in attenuation coefficient slope (ACS) estimation. The aim of this pilot study is to validate the feasibility of in vivo estimation of ACSs from thyroid nodules using the RSLD technique. In vivo data from thyroid nodules was acquired in an oncology clinic right before fine needle aspiration biopsy (FNAB) procedure. Six nodules were analyzed in this study having FNAB results reported as either Bethesda II (benign) or VI (cancer). The nodules had an average diameter of 1.56 cm and their biopsy results were adenomatoid nodules (three cases), Hashimoto's thyroiditis (two cases), and papillary carcinoma (one case). In addition, healthy thyroid regions in three additional patients were also evaluated. The ACS estimation was performed with 16 wavelength axially by 16 wavelengths laterally data blocks. The average ACS values in healthy thyroid tissues and Hashimoto's thyroiditis nodules were found to be 1.62 ± 0.27 and 0.97 ± 0.08 dB.cm-1.MHz-1, which are consistent with previous reports in this subject in the literature. The ACS values for the adenomatoid nodules and the papillary carcinoma were 0.94 ± 0.07 and 0.87 dB.cm-1.MHz-1, respectively. All nodules had lower ACS values than the ones in healthy thyroid tissues. These results suggest that the RSLD method has potential for producing accurate and precise estimates of ACS values in vivo.
AB - In vivo estimation of attenuation coefficients is useful because of its potential for tissue characterization and relevance in accurate backscatter coefficient estimation. Recently, the regularized spectral log difference (RSLD) technique was proposed to extend the trade-off between precision and spatial resolution in attenuation coefficient slope (ACS) estimation. The aim of this pilot study is to validate the feasibility of in vivo estimation of ACSs from thyroid nodules using the RSLD technique. In vivo data from thyroid nodules was acquired in an oncology clinic right before fine needle aspiration biopsy (FNAB) procedure. Six nodules were analyzed in this study having FNAB results reported as either Bethesda II (benign) or VI (cancer). The nodules had an average diameter of 1.56 cm and their biopsy results were adenomatoid nodules (three cases), Hashimoto's thyroiditis (two cases), and papillary carcinoma (one case). In addition, healthy thyroid regions in three additional patients were also evaluated. The ACS estimation was performed with 16 wavelength axially by 16 wavelengths laterally data blocks. The average ACS values in healthy thyroid tissues and Hashimoto's thyroiditis nodules were found to be 1.62 ± 0.27 and 0.97 ± 0.08 dB.cm-1.MHz-1, which are consistent with previous reports in this subject in the literature. The ACS values for the adenomatoid nodules and the papillary carcinoma were 0.94 ± 0.07 and 0.87 dB.cm-1.MHz-1, respectively. All nodules had lower ACS values than the ones in healthy thyroid tissues. These results suggest that the RSLD method has potential for producing accurate and precise estimates of ACS values in vivo.
KW - Attenuation coefficient
KW - Quantitative ultrasound
KW - Thyroid
UR - http://www.scopus.com/inward/record.url?scp=85039438324&partnerID=8YFLogxK
U2 - 10.1109/ULTSYM.2017.8092200
DO - 10.1109/ULTSYM.2017.8092200
M3 - Conference contribution
AN - SCOPUS:85039438324
T3 - IEEE International Ultrasonics Symposium, IUS
BT - 2017 IEEE International Ultrasonics Symposium, IUS 2017
PB - IEEE Computer Society
Y2 - 6 September 2017 through 9 September 2017
ER -