| Title: | Diagnostic value of tumor blood flow and its histogram analysis obtained with pCASL to differentiate sinonasal malignant lymphoma from squamous cell carcinoma |
| Authors: | Fujima, Noriyuki Browse this author →KAKEN DB |
| Kameda, Hiroyuki Browse this author |
| Tsukahara, Akiko Browse this author |
| Yoshida, Daisuke Browse this author |
| Sakashita, Tomohiro Browse this author →KAKEN DB |
| Homma, Akihiro Browse this author →KAKEN DB |
| Tha, Khin Khin Browse this author →KAKEN DB |
| Kudo, Kohsuke Browse this author →KAKEN DB |
| Shirato, Hiroki Browse this author →KAKEN DB |
| Keywords: | Tumor blood flow |
| Pseudo-continuous arterial spin labeling |
| Squamous cell carcinoma |
| Malignant lymphoma |
| Issue Date: | Nov-2015 |
| Publisher: | Elsevier |
| Journal Title: | European journal of radiology |
| Volume: | 84 |
| Issue: | 11 |
| Start Page: | 2187 |
| End Page: | 2193 |
| Publisher DOI: | 10.1016/j.ejrad.2015.07.026 |
| PMID: | 26277497 |
| Abstract: | Objectives: To investigate the diagnostic value of tumor blood flow (TBF) obtained with pseudocontinuous arterial spin labeling (pCASL) for the differentiation of squamous cell carcinoma (SCC) and malignant lymphoma (ML) in the nasal or sinonasal cavity. Methods: Thirty-three patients with SCC and 6 patients with ML in the nasal or sinonasal cavity were retrospectively analyzed. Quantitative TBF values were obtained using whole-tumor region of interest (ROI) from pCASL data. The histogram analysis of TBF values within the tumor ROI was also performed by calculating the coefficient of variation (CV), kurtosis, and skewness. The mean TBF value, histogram CV, kurtosis and skewness of the patients with SCC were compared with those of the ML patients. The diagnostic accuracy to differentiate SCC from ML was also calculated by receiver operating characteristic (ROC) curve analysis. In addition, multiple logistic regression models were also performed to determine their independent predictive value, and diagnostic accuracy with the combined use of these parameters. Results: Between the SCC and ML groups, significant differences were observed in mean TBF, CV, and kurtosis, but not in skewness. In ROC curve analysis, the diagnostic accuracy values for the differentiation of SCC from ML in mean TBF, CV, and kurtosis were all 0.87, respectively. Multiple logistic regression models revealed TBF and CV were respectively independent predictive value. With the combination of these parameters, the diagnostic accuracy was elevated to 0.97. Conclusions: The TBF value and its histogram analysis obtained with pCASL can help differentiate SCC and ML. |
| Rights: | © 2015. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| Type: | article (author version) |
| URI: | http://hdl.handle.net/2115/63369 |
| Appears in Collections: | 北海道大学病院 (Hokkaido University Hospital) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
国際連携研究教育局 : GI-CoRE (Global Institution for Collaborative Research and Education : GI-CoRE) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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