Since the efficiency of treatment of thyroid disorder depends on the risk of malignancy, indeterminate follicular neoplasm (FN) images should be classified. The diagnosis process has been done by visual interpretation...Since the efficiency of treatment of thyroid disorder depends on the risk of malignancy, indeterminate follicular neoplasm (FN) images should be classified. The diagnosis process has been done by visual interpretation of experienced pathologists. However, it is difficult to separate the favor benign from borderline types. Thus, this paper presents a classification approach based on 3D nuclei model to classify favor benign and borderline types of follicular thyroid adenoma (FTA) in cytological specimens. The proposed method utilized 3D gray level co-occurrence matrix (GLCM) and random forest classifier. It was applied to 22 data sets of FN images. Furthermore, the use of 3D GLCM was compared with 2D GLCM to evaluate the classification results. From experimental results, the proposed system achieved 95.45% of the classification. The use of 3D GLCM was better than 2D GLCM according to the accuracy of classification. Consequently, the proposed method probably helps a pathologist as a prescreening tool.展开更多
甲状腺结节在人群中检出率较高,术前确定结节良恶性尤为重要。超声引导下细针穿刺细胞学检查(ultrasonographyguided fine needle aspiration cytology,US-FNAC)可鉴别大多数甲状腺结节的良恶性,但细胞学结果判读的影响因素繁多,在甲状...甲状腺结节在人群中检出率较高,术前确定结节良恶性尤为重要。超声引导下细针穿刺细胞学检查(ultrasonographyguided fine needle aspiration cytology,US-FNAC)可鉴别大多数甲状腺结节的良恶性,但细胞学结果判读的影响因素繁多,在甲状腺细胞病理学Bethesda报告系统中有15%~30%结节被诊断为意义不明确的细胞非典型病变/滤泡性病变(atypia of undetermined significance/follicular lesion of undetermined significance,AUS/FLUS)。AUS/FLUS结节一直是令病理和临床医生感到棘手的问题,其细胞组织结构异型性较小,不能诊断为可疑滤泡性肿瘤、可疑恶性肿瘤或恶性肿瘤。随着各种检测方法的进步,人们对AUS/FLUS结节的认识逐渐清晰。本文就超声检查和分子检测在AUS/FLUS术前诊断中的临床应用和价值作一综述。展开更多
文摘Since the efficiency of treatment of thyroid disorder depends on the risk of malignancy, indeterminate follicular neoplasm (FN) images should be classified. The diagnosis process has been done by visual interpretation of experienced pathologists. However, it is difficult to separate the favor benign from borderline types. Thus, this paper presents a classification approach based on 3D nuclei model to classify favor benign and borderline types of follicular thyroid adenoma (FTA) in cytological specimens. The proposed method utilized 3D gray level co-occurrence matrix (GLCM) and random forest classifier. It was applied to 22 data sets of FN images. Furthermore, the use of 3D GLCM was compared with 2D GLCM to evaluate the classification results. From experimental results, the proposed system achieved 95.45% of the classification. The use of 3D GLCM was better than 2D GLCM according to the accuracy of classification. Consequently, the proposed method probably helps a pathologist as a prescreening tool.
文摘甲状腺结节在人群中检出率较高,术前确定结节良恶性尤为重要。超声引导下细针穿刺细胞学检查(ultrasonographyguided fine needle aspiration cytology,US-FNAC)可鉴别大多数甲状腺结节的良恶性,但细胞学结果判读的影响因素繁多,在甲状腺细胞病理学Bethesda报告系统中有15%~30%结节被诊断为意义不明确的细胞非典型病变/滤泡性病变(atypia of undetermined significance/follicular lesion of undetermined significance,AUS/FLUS)。AUS/FLUS结节一直是令病理和临床医生感到棘手的问题,其细胞组织结构异型性较小,不能诊断为可疑滤泡性肿瘤、可疑恶性肿瘤或恶性肿瘤。随着各种检测方法的进步,人们对AUS/FLUS结节的认识逐渐清晰。本文就超声检查和分子检测在AUS/FLUS术前诊断中的临床应用和价值作一综述。
