Abstract #0982

Evaluating tumor biology of lung adenocarcinoma: multimodality-multiparametric approach

Ho Yun Lee¹, Seong-Yoon Yun Ryu¹, Ji Yun Jeong², Kyung Soo Lee¹, and Young Mog Shim³

¹Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea, Republic of, ²Pathology, Kyungpook National University Medical Center, Kyungpook National University School of Medicine, Daegu, Korea, Republic of, ³Thoracic Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea, Republic of

Our purpose is to investigate tumor biology of lung adenocarcinoma such as tumor cellularity, characteristics of invasion, histologic subtype, and tumor differentiation using multimodality and multiparametric imaging approach.

SUVmax was significantly greater in the solid subtype and poorly differentiated tumor when compared to other subtypes or differentiations. f tended to increase as tumor differentiation changed more poorly, whereas D and D * showed a trend of decrease in poorly differentiated tumors. Tumor size, the size of the solid portion within the tumor, and ADC showed significant correlation with extent of tumor invasion. SUVmax showed significant correlation with tumor cellularity.

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