title: Ultrasonographic tissue characterization in monitoring tumor response to neoadjuvant chemotherapy in locally advanced breast cancer (work in progress).
abstract: A program of computer-assisted texture analysis was applied to evaluate its usefulness for objective description of changes in tumor architecture due to primary medical treatment in patients with locally advanced breast cancer. Changes in values of parameters of the statistical pattern recognition technique were compared to ultrasonographically depictable, subjectively recorded changes in echogenicity and echotexture (brightness, homogeneity) and reviewed with regard to histopathologic evaluation of tumor regression. Characteristic trends of defined quantitative texture parameters (mean gradient, mean gray value, contrast from the co-occurrence matrix) corresponded to visually depictable changes of the B-mode image and underlying histopathologic changes. The results indicate that quantitative texture analysis may aid in noninvasive monitoring of tumor response to neoadjuvant chemotherapy.
authors.affiliation: Department of Radiology, Lainz Hospital, Vienna, Austria.
authors.forename: S
authors.initials: S
authors.lastname: Huber
authors.forename: M
authors.initials: M
authors.lastname: Medl
authors.forename: M
authors.initials: M
authors.lastname: Vesely
authors.forename: H
authors.initials: H
authors.lastname: Czembirek
authors.forename: I
authors.initials: I
authors.lastname: Zuna
authors.forename: S
authors.initials: S
authors.lastname: Delorme
mesh_terms: D000328:Adult; D000368:Aged; D001943:Breast Neoplasms / Q000000981:diagnostic imaging* / Q000188:drug therapy* / Q000473:pathology; D017024:Chemotherapy, Adjuvant; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008875:Middle Aged; D008991:Monitoring, Physiologic; D010363:Pattern Recognition, Automated; D013499:Surface Properties; D014463:Ultrasonography