Title |
Fractal Dimension of Tc-99m DTPA GSA Estimates Pathologic Liver Injury due to Chemotherapy in Liver Cancer Patients
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Published in |
Annals of Surgical Oncology, July 2016
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DOI | 10.1245/s10434-016-5441-7 |
Pubmed ID | |
Authors |
Yukihiko Hiroshima, Kiyohiko Shuto, Kazuto Yamazaki, Daisuke Kawaguchi, Masatoshi Yamada, Yutaro Kikuchi, Kohei Kasahara, Takashi Murakami, Atsushi Hirano, Mikito Mori, Chihiro Kosugi, Kenichi Matsuo, Yasuo Ishida, Keiji Koda, Kuniya Tanaka |
Abstract |
Chemotherapy-induced liver injury after potent chemotherapy is a considerable problem in patients undergoing liver resection. The aim of this study was to assess the relationship between the fractal dimension (FD) of Tc-99m diethylenetriaminepentaacetic acid (DTPA) galactosyl human serum albumin (GSA) and pathologic change of liver parenchyma in liver cancer patients who have undergone chemotherapy. We examined 34 patients (10 female and 24 male; mean age, 68.5 years) who underwent hepatectomy. Hepatic injury was defined as steatosis more than 30 %, grade 2-3 sinusoidal dilation, and/or steatohepatitis Kleiner score ≥4. Fractal analysis was applied to all images of Tc-99m DTPA GSA using a plug-in tool on ImageJ software (NIH, Bethesda, MD). A differential box-counting method was applied, and FD was calculated as a heterogeneity parameter. Correlations between FD and clinicopathological variables were examined. FD values of patients with steatosis and steatohepatitis were significantly higher than those without (P > .001 and P > .001, respectively). There was no difference between the FD values of patients with and without sinusoidal dilatation (P = .357). Multivariate logistic regression showed FD as the only significant predictor for steatosis (P = .005; OR 36.5; 95 % CI 3.0-446.3) and steatohepatitis (P = .012; OR, 29.1; 95 % CI 2.1-400.1). FD of Tc-99m DTPA GSA was the significant predictor for fatty liver disease in patients who underwent chemotherapy. This new modality is able to differentiate steatohepatitis from steatosis; therefore, it may be useful for predicting chemotherapy-induced pathologic liver injury. |
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Members of the public | 1 | 100% |
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Other | 3 | 11% |
Lecturer | 2 | 7% |
Student > Postgraduate | 2 | 7% |
Student > Ph. D. Student | 2 | 7% |
Other | 4 | 14% |
Unknown | 11 | 39% |
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Biochemistry, Genetics and Molecular Biology | 1 | 4% |
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Neuroscience | 1 | 4% |
Other | 2 | 7% |
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