title: Breast fine needle aspiration cytology practices and commonly perceived diagnostic significance of cytological features: A pan- India survey.
abstract: BACKGROUND
  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.
  
  
  OBJECTIVE
  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.
  
  
  METHODS
  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.
  
  
  RESULTS
  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.
  
  
  CONCLUSIONS
  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.
authors.affiliation: School of Medical Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur, India ; Video Signal Processing, Texas Instruments (India) Pvt. Ltd., Bangalore, India.
authors.forename: Hrushikesh Tukaram
authors.initials: HT
authors.lastname: Garud
authors.forename: Debdoot
authors.initials: D
authors.lastname: Sheet
authors.forename: Manjunatha
authors.initials: M
authors.lastname: Mahadevappa
authors.forename: Jyotirmoy
authors.initials: J
authors.lastname: Chatterjee
authors.forename: Ajoy Kumar
authors.initials: AK
authors.lastname: Ray
authors.forename: Arindam
authors.initials: A
authors.lastname: Ghosh
keywords: Breast; FNAC; clinical practices; survey