title: Three-dimensional stereoscopic volume rendering of malignant pleural mesothelioma.
abstract: Our objective was to investigate the application of three-dimensional (3D) stereoscopic volume rendering with perceptual colorization on preoperative imaging for malignant pleural mesothelioma. At present, we have prospectively enrolled 6 patients being considered for resection of malignant pleural mesothelioma that have undergone a multidetector-row computed tomography (CT) scan of the chest. The CT data sets were volume rendered without preprocessing. The resultant 3D rendering was displayed stereoscopically and used to provide information regarding tumor extent, morphology, and anatomic involvement. To demonstrate this technique, this information was compared with the corresponding two-dimensional CT grayscale axial images from two of these patients. Three-dimensional stereoscopic reconstructions of the CT data sets provided detailed information regarding the local extent of tumor that could be used for preoperative surgical planning. Three-dimensional stereoscopic volume rendering for malignant pleural mesothelioma is a novel approach. Combined with our innovative perceptual colorization algorithm, stereoscopic volumetric analysis potentially allows for the accurate determination of the extent of pleural mesothelioma with results difficult to duplicate using grayscale, multiplanar CT images.
authors.affiliation: Department of Surgery, University of Illinois at Mt. Sinai Hospital, Chicago, Illinois 60637-1470, USA.
authors.forename: Nathan M
authors.initials: NM
authors.lastname: Mollberg
authors.forename: Nigel M
authors.initials: NM
authors.lastname: Parsad
authors.forename: Samuel G
authors.initials: SG
authors.lastname: Armato
authors.forename: Janani
authors.initials: J
authors.lastname: Vigneswaran
authors.forename: Hedy L
authors.initials: HL
authors.lastname: Kindler
authors.forename: William F
authors.initials: WF
authors.lastname: Sensakovic
authors.forename: Ravi
authors.initials: R
authors.lastname: Salgia
authors.forename: Jonathan C
authors.initials: JC
authors.lastname: Silverstein
authors.forename: Wickii T
authors.initials: WT
authors.lastname: Vigneswaran
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008175:Lung Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology / Q000601:surgery; D008297:Male; D008654:Mesothelioma / Q000000981:diagnostic imaging* / Q000473:pathology / Q000601:surgery; D000086002:Mesothelioma, Malignant; D008875:Middle Aged; D061330:Multidetector Computed Tomography / Q000379:methods*; D010997:Pleural Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology / Q000601:surgery; D011300:Preoperative Care / Q000379:methods*; D012189:Retrospective Studies; D012984:Software; D047368:Tumor Burden