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10.18632/oncotarget.11693 http://scihub22266oqcxt.onion/10.18632/oncotarget.11693 C5341876!5341876 !27589833     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=27589833 &cmd=llinks): Failed to open stream: HTTP request failed! 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Quantitative image variables reflect the intratumoral pathologic heterogeneity of lung adenocarcinoma |pdf=|usr=}}{{27589833 }} gab.com Text Quantitative image variables reflect the intratumoral pathologic heterogeneity of lung adenocarcinoma JO: Oncotarget http://www.kidney.de/pget.php?&tw=1&pmid=27589833 #FOAvip We aimed to compare quantitative radiomic parameters from dual-energy computed tomography (DECT) of lung adenocarcinoma and pathologic complexity.A total 89 tumors with clinical stage I/II lung adenocarcinoma were prospectively included. Fifty one radiomic features were assessed both from iodine images and non-contrast images of DECT datasets. Comprehensive histologic subtyping was evaluated with all surgically resected tumors. The degree of pathologic heterogeneity was assessed using pathologic index and the number of mixture histologic subtypes in a tumor. Radiomic parameters were correlated with pathologic index. Tumors were classified as three groups according to the number of mixture histologic subtypes and radiomic parameters were compared between the three groups.Tumor density and 50th through 97.5th percentile Hounsfield units (HU) of histogram on non-contrast images showed strong correlation with the pathologic heterogeneity. Radiomic parameters including 75th and 97.5th percentile HU of histogram, entropy, and inertia on 1-, 2- and 3 voxel distance on non-contrast images showed incremental changes while homogeneity showed detrimental change according to the number of mixture histologic subtypes (all Ps < 0.05).Radiomic variables from DECT of lung adenocarcinoma reflect pathologic intratumoral heterogeneity, which may help in the prediction of intratumoral heterogeneity of the whole tumor. Twit Text FOAVip Quantitative image variables reflect the intratumoral pathologic heterogeneity of lung adenocarcinoma ????Oncotarget http://www.kidney.de/pget.php?&tw=1&pmid=27589833 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27589833 #FOAvip English Wikipedia <ref>{{Cite pmid|27589833 }}</ref> Quantitative image variables reflect the intratumoral pathologic heterogeneity of lung adenocarcinoma #MMPMID27589833 Choi ER ; Lee HY ; Jeong JY ; Choi YL ; Kim J ; Bae J ; Lee KS ; Shim YM Oncotarget 2016[Oct]; 7 (41 ): 67302-67313 PMID27589833 show ga We aimed to compare quantitative radiomic parameters from dual-energy computed tomography (DECT) of lung adenocarcinoma and pathologic complexity.A total 89 tumors with clinical stage I/II lung adenocarcinoma were prospectively included. Fifty one radiomic features were assessed both from iodine images and non-contrast images of DECT datasets. Comprehensive histologic subtyping was evaluated with all surgically resected tumors. The degree of pathologic heterogeneity was assessed using pathologic index and the number of mixture histologic subtypes in a tumor. Radiomic parameters were correlated with pathologic index. Tumors were classified as three groups according to the number of mixture histologic subtypes and radiomic parameters were compared between the three groups.Tumor density and 50th through 97.5th percentile Hounsfield units (HU) of histogram on non-contrast images showed strong correlation with the pathologic heterogeneity. Radiomic parameters including 75th and 97.5th percentile HU of histogram, entropy, and inertia on 1-, 2- and 3 voxel distance on non-contrast images showed incremental changes while homogeneity showed detrimental change according to the number of mixture histologic subtypes (all Ps < 0.05).Radiomic variables from DECT of lung adenocarcinoma reflect pathologic intratumoral heterogeneity, which may help in the prediction of intratumoral heterogeneity of the whole tumor. |Adenocarcinoma of Lung [MESH] |Adenocarcinoma/*diagnostic imaging/*pathology [MESH] |Adult [MESH] |Aged [MESH] |Humans [MESH] |Lung Neoplasms/*diagnostic imaging/*pathology [MESH] |Male [MESH] |Middle Aged [MESH]Quantitative image variables reflect the intratumoral pathologic heter(epmc).pdf DeepDyve Pubget Overpricing