@article{oai:nagoya.repo.nii.ac.jp:00028247, author = {Kawaguchi, Koji and Fukui, Takayuki and Goto, Masaki and Nakamura, Shota and Hakiri, Shuhei and Ozeki, Naoki and Kato, Taketo and Mori, Shunsuke and Hashimoto, Kumiko and Iwano, Shingo and Yokoi, Kohei}, issue = {2}, journal = {Nagoya Journal of Medical Science}, month = {May}, note = {There is little known about predictors of the effects of induction therapy in locally advanced lung cancer, including superior sulcus tumors. We analyzed whether intra-tumoral blood feeding could predict a pathologic complete response (pCR). Patients who underwent induction therapy followed by surgery for locally advanced lung cancer were retrospectively reviewed. The intra-tumoral blood feeding was defined by the CT value (HU, Hounsfield unit), which was calculated by subtracting the non-enhanced value from the contrast-enhanced value (divided into the early and delayed phase) at the maximum diameter of the tumor on dynamic CT. The cases were classified, according to the efficacy of induction therapy, into the pCR and residual tumor (pRT) group. There were 38 cases of T3 and 12 of T4; the induction therapy consisted of chemoradiotherapy in 39 patients, chemotherapy in 6, and radiotherapy in 5. A pCR was obtained in 15 (30%) patients. The mean CT values of the early and delayed phases in the pCR group were 14.8 and 30.7 HU, while those in the pRT were 15.3 and 32.2 HU, respectively. A logistic regression analysis revealed that a smaller tumor size (< 42 mm) was a non-significant predictor of a pCR (p = 0.09); the maximum standardized uptake value on FDG-PET and the CT values on the early and delayed phases of dynamic CT were not associated with the achievement of a pCR. In conclusion, intra-tumoral blood feeding of the locally advanced lung cancer did not predict the effects of induction therapy, whereas smaller sized tumors tended to show a better response.}, pages = {291--301}, title = {Evaluation of intra-tumoral blood feeding to predict the effect of induction therapy in patients with locally advanced lung cancer}, volume = {81}, year = {2019} }