title: An automated image cytometry system for monitoring DNA ploidy and other cell features of radiotherapy and chemotherapy patients.
abstract: DNA content and distribution in cell nuclei were studied in samples of fine-needle aspiration (FNA) from 27 locally advanced breast and head and neck cancers in two going randomized trials that compared accelerated fractionation to standard fractionation radiation in locally advanced breast cancer and head and neck cancer. Two image cytometry methods were compared: a new, fully automated DNA image cytometry system (AIC) and a conventional image cytometry (CIC) system with manual selection, focusing, and segmentation of cells. The results of both techniques were compared on the basis of DNA histogram parameters including DNA index (DI), mean DNA values (MDV), and Auer's DNA histogram patterns. An excellent correlation was achieved between the two imaging techniques in terms of DI (r=0.985, p<0.001) and MDV (r=0.951, p<0.001) as well as between Auer's histogram patterns, where both methods agreed completely. It was concluded in these analyses that the two image cytometry methods were equivalent. However, the AIC offered an advantage by scanning samples in a fully automated way, which represented significant time saving for cytopathologists working with the system, as well as a larger number of cells used in the automated analysis. With the automated image cytometer, 500 relevant cells were collected and analyzed in about 10 minutes, where with the interactive (manual) method, it took typically an hour to collect and analyze only about 250 cells. Seventeen samples were sufficient for flow analysis. Image cytometry and flow cytometry showed good agreement in DI determination; however, three cases reported as diploid by flow cytometry were found to be aneuploid by image cytometry techniques.
authors.affiliation: Department of Radiation Oncology, Jiangsu Institute of Cancer Research, Nanjing, PR China.
authors.forename: Y
authors.initials: Y
authors.lastname: Zhang
authors.forename: J C
authors.initials: JC
authors.lastname: LeRiche
authors.forename: S M
authors.initials: SM
authors.lastname: Jackson
authors.forename: D
authors.initials: D
authors.lastname: Garner
authors.forename: B
authors.initials: B
authors.lastname: Palcic
mesh_terms: D000971:Antineoplastic Combined Chemotherapy Protocols / Q000627:therapeutic use; D001707:Biopsy, Needle; D001943:Breast Neoplasms / Q000188:drug therapy / Q000235:genetics / Q000532:radiotherapy; D002294:Carcinoma, Squamous Cell / Q000235:genetics / Q000532:radiotherapy; D002986:Clinical Trials as Topic; D004273:DNA, Neoplasm / Q000032:analysis*; D005260:Female; D005434:Flow Cytometry; D006258:Head and Neck Neoplasms / Q000235:genetics / Q000532:radiotherapy; D006801:Humans; D019044:Image Cytometry / Q000379:methods*; D007091:Image Processing, Computer-Assisted; D008297:Male; D011003:Ploidies
chemical_list: D004273:DNA, Neoplasm