Integration of Anatomic and Pathogenetic Bases for Early Lung Cancer Diagnosis

摘要

It is widely recognized that the diagnosis of early lung cancer should entail a multimodal approach taking age clinical history radiology and cytology/histopathology into consideration. Most radiological assessments should be combined with microscopic analysis of tissue samples to reach a diagnosis. Our proposed new universal computer-aided diagnosis (UCAD) system combining anatomical knowledge based CAD (AK-CAD) and computer-aided pathological diagnosis (CAPD) which provides combined and correlated radiological and cytopathological features in diagnosis of early lung cancers will give radiologists and pathologists an efficient and automatic tool for their diagnosis. The development of a novel automatic quantitative assessment of radiological-pathological combined and correlated features is proposed here for diagnosis of early lung cancer. The integrated AK-CAD and CAPD system will provide radiologists and pathologists an efficient and automatic tool for their detection and diagnosis of early lung cancers.