title: Morphometrical analysis of nuclear abnormality of tubular tumors of the stomach with image processing.
abstract: Nuclear size and shape on histological specimens were used to quantify nuclear abnormality in gastric tubular tumors. A valid technique for this morphometrical analysis by image processing was developed. Furthermore, the present study examined the nuclear size and shape to determine if they were reliable criteria to be used for differential diagnosis. Nuclear area, maximum diameter and maximum width on the histological specimens were defined as factors to represent nuclear size. Nuclear aspect ratio represented nuclear shape. Histological features revealed varied degrees of condensation of nuclei; this was due to different protocols for preparing the histological specimens. This finding indicated that the size of intermediate lymphocytes on the same specimens should be measured as a control in order to estimate the degree of nuclear condensation. The present study also demonstrated that at least 200 nuclei should be measured on the histological specimens to obtain accurate nuclear size and shape. Histologically, the nuclei in benign tubular adenoma and borderline lesions tended to be spindle-shaped, while those in well-differentiated type tubular adenocarcinoma tended to be round and swollen. The nuclei in borderline lesions were larger than those in benign tubular adenoma and smaller than those in well-differentiated type tubular adenocarcinoma. Our results for the above 4 factors corresponded well with these histological findings. The nuclear size and shape on histological specimens were concluded to be reliable criteria for assessing nuclear abnormality in gastric tubular tumors and useful ones for differential diagnosis.
authors.affiliation: Division of Internal Medicine, National Cancer Center Hospital, Tokyo.
authors.forename: T
authors.initials: T
authors.lastname: Ishido
authors.forename: H
authors.initials: H
authors.lastname: Yamaguchi
authors.forename: S
authors.initials: S
authors.lastname: Yoshida
authors.forename: S
authors.initials: S
authors.lastname: Tonouchi
mesh_terms: D000230:Adenocarcinoma / Q000648:ultrastructure*; D002467:Cell Nucleus / Q000473:pathology*; D006801:Humans; D013274:Stomach Neoplasms / Q000648:ultrastructure*