TY - JOUR
T1 - Characterization of the Major Histopathological Components of Thyroid Nodules Using Sonographic Textural Features for Clinical Diagnosis and Management
AU - Chen, Shao Jer
AU - Yu, Sung Nien
AU - Tzeng, Jeh En
AU - Chen, Yen Ting
AU - Chang, Ku Yaw
AU - Cheng, Kuo Sheng
AU - Hsiao, Fu Tsung
AU - Wei, Chang Kuo
N1 - Funding Information:
This work was supported by Research Grants (NSC 96 to 2221-E-303-001) from National Science Council, Taiwan and grants (DTCRD 96(2)-13) from Buddhist Dalin Tzu Chi General Hospital, Chia-Yi, Taiwan. The authors thank the Department of Pathology, Buddhist Dalin Tzu Chi General Hospital, Chia-Yi, Taiwan, for its support and guidance.
PY - 2009/2
Y1 - 2009/2
N2 - In this study, the characteristic sonographic textural feature that represents the major histopathologic components of the thyroid nodules was objectively quantified to facilitate clinical diagnosis and management. A total of 157 regions-of-interest thyroid ultrasound image was recruited in the study. The sonographic system used was the GE LOGIQ 700), (General Electric Healthcare, Chalfant St. Giles, UK). The parameters affecting image acquisition were kept in the same condition for all lesions. Commonly used texture analysis methods were applied to characterize thyroid ultrasound images. Image features were classified according to the corresponding pathologic findings. To estimate their relevance and performance to classification, ReliefF was used as a feature selector. Among the various textural features, the sum average value derived from co-occurrence matrix can well reflect echogenicity and can effectively differentiate between follicles and fibrosis base thyroid nodules. Fibrosis shows lowest echogenicity and lowest difference sum average value. Enlarged follicles show highest echogenicity and difference sum average values. Papillary cancer or follicular tumors show the difference sum average values and echogenicity between. The rule of thumb for the echogenicity is that the more follicles are mixed in, the higher the echo of the follicular tumor and papillary cancer will be and vice versa for fibrosis mixed. Areas with intermediate and lower echo should address the possibility of follicular or papillary neoplasm mixed with either follicles or fibrosis. These areas provide more cellular information for ultrasound guided aspiration (E-mail: [email protected]).
AB - In this study, the characteristic sonographic textural feature that represents the major histopathologic components of the thyroid nodules was objectively quantified to facilitate clinical diagnosis and management. A total of 157 regions-of-interest thyroid ultrasound image was recruited in the study. The sonographic system used was the GE LOGIQ 700), (General Electric Healthcare, Chalfant St. Giles, UK). The parameters affecting image acquisition were kept in the same condition for all lesions. Commonly used texture analysis methods were applied to characterize thyroid ultrasound images. Image features were classified according to the corresponding pathologic findings. To estimate their relevance and performance to classification, ReliefF was used as a feature selector. Among the various textural features, the sum average value derived from co-occurrence matrix can well reflect echogenicity and can effectively differentiate between follicles and fibrosis base thyroid nodules. Fibrosis shows lowest echogenicity and lowest difference sum average value. Enlarged follicles show highest echogenicity and difference sum average values. Papillary cancer or follicular tumors show the difference sum average values and echogenicity between. The rule of thumb for the echogenicity is that the more follicles are mixed in, the higher the echo of the follicular tumor and papillary cancer will be and vice versa for fibrosis mixed. Areas with intermediate and lower echo should address the possibility of follicular or papillary neoplasm mixed with either follicles or fibrosis. These areas provide more cellular information for ultrasound guided aspiration (E-mail: [email protected]).
UR - http://www.scopus.com/inward/record.url?scp=58649123353&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=58649123353&partnerID=8YFLogxK
U2 - 10.1016/j.ultrasmedbio.2008.08.017
DO - 10.1016/j.ultrasmedbio.2008.08.017
M3 - Article
C2 - 19010588
AN - SCOPUS:58649123353
SN - 0301-5629
VL - 35
SP - 201
EP - 208
JO - Ultrasound in Medicine and Biology
JF - Ultrasound in Medicine and Biology
IS - 2
ER -