title: [Distinguishing benign from malignant pulmonary nodules by gradient analysis of digitized chest radiographs].
abstract: Twenty-four conventional chest radiographs with small solitary pulmonary nodules were digitized to analyze optical density gradient. An index number, that could reflect sharpness and contrast of tumor lung interface, was calculated to differentiate benign from malignant pulmonary nodules. In four of 12 patients with benign non-calcified nodules, the index number allowed correct classification as a benign lesion.
authors.forename: K
authors.initials: K
authors.lastname: Kuriyama
authors.forename: T
authors.initials: T
authors.lastname: Sato
authors.forename: Y
authors.initials: Y
authors.lastname: Kumatani
authors.forename: S
authors.initials: S
authors.lastname: Matsugi
authors.forename: O
authors.initials: O
authors.lastname: Hiruma
authors.forename: K
authors.initials: K
authors.lastname: Kadowaki
authors.forename: Y
authors.initials: Y
authors.lastname: Narumi
authors.forename: M
authors.initials: M
authors.lastname: Fujita
authors.lastname: Fujino
authors.forename: O
authors.initials: O
authors.lastname: Doi
mesh_terms: D015502:Absorptiometry, Photon; D003937:Diagnosis, Differential; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008175:Lung Neoplasms / Q000175:diagnosis / Q000000981:diagnostic imaging*; D011237:Predictive Value of Tests; D011856:Radiographic Image Enhancement; D013902:Radiography, Thoracic; D003074:Solitary Pulmonary Nodule / Q000175:diagnosis / Q000000981:diagnostic imaging; D014397:Tuberculosis, Pulmonary / Q000175:diagnosis / Q000000981:diagnostic imaging