Garud Hrushikesh Tukaram, Sheet Debdoot, Mahadevappa Manjunatha, Chatterjee Jyotirmoy, Ray Ajoy Kumar, Ghosh Arindam
School of Medical Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur, India ; Video Signal Processing, Texas Instruments (India) Pvt. Ltd., Bangalore, India.
J Cytol. 2012 Jul;29(3):183-9. doi: 10.4103/0970-9371.101168.
Methodical and meticulous understanding of clinico-pathological procedures and decision making process of cancer diagnosis and identification of aspects that are well-suited for computer-aided analysis are first steps toward development of assistive computational tool for analysis of breast fine needle aspiration cytology (FNAC) slides.
To identify variables in practice of FNAC as used for diagnosis of breast lesions and commonly perceived diagnostic significance of cytological features for diagnosis of benign or malignant condition of breast lesions.
An India-wide questionnaire-based survey of cytopathologists/pathologists' breast FNAC reporting practices and their opinion on diagnostic significance of cytological features in diagnosis of benign or malignant nature of breast lesion were conducted.
Fifty-one experts working with various medical education institutes (52% of participants), oncological tertiary care centers (28%) and primary care centers/private diagnostic pathology laboratories (~20%) spread over 13 states of India have participated in the survey. Constants and variables observed in clinico-cytopathological practices and combined opinion of the participants on diagnostic significance of cytological features are presented here.
There exist analogous as well as varied components in clinico-pathological procedures and diagnostic interpretation by individuals. These constants and variables in the practice of breast FNAC should be considered, when drawing up specifications for an assistive computational tool for analysis of breast FNAC slides. The estimate for commonly perceived significance of cytological features obtained through this study will help in their selection for computer-aided analysis of breast FNAC slides and further in selection of corresponding feature quantification techniques.
系统且细致地了解癌症诊断的临床病理程序及决策过程,并确定适合计算机辅助分析的方面,是开发用于分析乳腺细针穿刺细胞学(FNAC)玻片的辅助计算工具的首要步骤。
确定用于乳腺病变诊断的FNAC实践中的变量,以及细胞学特征对乳腺病变良性或恶性诊断的一般认知诊断意义。
在印度范围内开展了一项基于问卷调查的研究,调查细胞病理学家/病理学家的乳腺FNAC报告实践,以及他们对细胞学特征在乳腺病变良性或恶性诊断中的诊断意义的看法。
来自印度13个邦的51位专家参与了此次调查,他们分别就职于各类医学教育机构(约占参与者的52%)、肿瘤三级护理中心(约占28%)以及初级护理中心/私立诊断病理实验室(约占20%)。本文呈现了临床细胞病理学实践中观察到的常量和变量,以及参与者对细胞学特征诊断意义的综合看法。
临床病理程序和个体的诊断解读中存在相似及不同的成分。在制定用于分析乳腺FNAC玻片的辅助计算工具的规范时,应考虑乳腺FNAC实践中的这些常量和变量。通过本研究获得的对细胞学特征一般认知意义的评估,将有助于选择用于乳腺FNAC玻片计算机辅助分析的特征,并进一步选择相应的特征量化技术。