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J Comput Assist Tomogr ; 37(1): 15-21, 2013.
Article in English | MEDLINE | ID: mdl-23321828

ABSTRACT

OBJECTIVE: To measure perfusion in different lung cancer subtypes and compare results with histopathological/immunohistochemical results. METHODS: Seventy-two consecutive untreated patients with lung cancer (40 adenocarcinomas, 20 squamous cell, and 12 small cell lung cancers) were enrolled. A 40-second volume perfusion computed tomography of the tumor bulk was obtained. Blood flow (BF), blood volume (BV), and transit constant were determined. Tumor volume and tumor necrosis were determined on contrast-enhanced computed tomography. Pathologic specimens were assessed for microvessel density (MVD), hypoxia-induced transcription (hif-1/-2), and proliferation (Ki-67). RESULTS: Higher MVD is associated with higher BF and BV. Higher tumor grade leads to lower BF but increased necrosis and tumor volume. Markers of hypoxia were independent from perfusion parameters, extent of necrosis or MVD. Blood flow, BV, and MVD were not significantly different among lung cancer subtypes. Transit constant was significantly reduced in small cell lung cancer versus adenocarcinoma. CONCLUSIONS: Perfusion values are related to MVD and tumor grade but vary considerably among lung cancer subtypes.


Subject(s)
Cone-Beam Computed Tomography/methods , Lung Neoplasms/diagnostic imaging , Neovascularization, Pathologic/diagnostic imaging , Adenocarcinoma/diagnostic imaging , Adenocarcinoma/pathology , Adult , Aged , Aged, 80 and over , Blood Flow Velocity , Blood Volume , Carcinoma, Squamous Cell/diagnostic imaging , Carcinoma, Squamous Cell/pathology , Contrast Media , Female , Humans , Immunohistochemistry , Iohexol/analogs & derivatives , Least-Squares Analysis , Lung Neoplasms/pathology , Male , Middle Aged , Neoplasm Grading , Neovascularization, Pathologic/pathology , Prospective Studies , Radiographic Image Interpretation, Computer-Assisted , Small Cell Lung Carcinoma/diagnostic imaging , Small Cell Lung Carcinoma/pathology , Tumor Burden
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