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
Synopsis
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.
Purpose: 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.
Materials and methods: 74 patients (mean age, 59 years; range, 38-81 years) with lung adenocarcinoma underwent contrast-enhanced CT, 18F-FDG PET, and MR imaging, including diffusion-weighted imaging for intravoxel incoherent motion (IVIM) analysis. IVIM-derived perfusion fraction (f), diffusion parameter (D), and perfusion parameter (D*) was obtained. Curative surgical resection was done for all patients, and pathologic review confirmed tumor biology including tumor cellularity, characteristics of invasion such as invasion extent, presence of vascular, lymphatic, or perineural invasion, degree of pleural involvement, histologic subtype, and tumor differentiation. Analysis of variance was used to compare differences in tumor size, tumor solid portion size, ADC, f, D, D*, SUVmax, extent of tumor invasion, and tumor cellularity between tumor subtypes and tumor differentiation. Pearson’s correlation between the imaging parameters and extension of tumor invasion and tumor cellularity were calculated.
Results: Tumor size was significantly larger in poorly differentiated tumors (p=.038). The Size of the solid portion within the tumor was significantly larger in both solid subtype and poorly differentiated tumors (both ps<.05). SUVmax was significantly greater in the solid subtype and poorly differentiated tumor when compared to other subtypes or differentiations (both ps<0.01). f tended to increase as tumor differentiation changed more poorly, whereas D and D * showed a trend of decrease in poorly differentiated tumors. Both extents of invasion and tumor cellularity showed significant increase in poorly differentiated tumors (p<.001 and p=.001, respectively). 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.
Conclusion: Multimodality-multiparametric imaging analysis identifies various pathologic characteristics of lung adenocarcinoma.
Acknowledgements
No acknowledgement found.References
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