| 1 | Involvement of serum retinoids and Leiden mutation in patients with esophageal, gastric, liver, pancreatic, and colorectal cancers in Hungary显示文摘AIM: To analyze the serum levels of retinoids and Leiden mutation in patients with esophageal, gastric, liver,pancreatic, and colorectal cancers.METHODS: The changes in serum levels of retinoids (vitamin A, α- and β-carotene, α- and β-cryptoxanthin,zeaxanthin, lutein) and Leiden mutation were measured by high liquid performance chromatography (HPLC)and polymerase chain reaction (PCR) in 107 patients (70 males/37 females) with esophageal (0/8), gastric (16/5), liver (8/7), pancreatic (6/4), and colorectal (30/21including 9 patients suffering from in situ colon cancer)cancer. Fifty-seven healthy subjects (in matched groups)for controls of serum retinoids and 600 healthy blood donors for Leiden mutation were used.RESULTS: The serum levels of vitamin A and zeaxanthin were decreased significantly in all groups of patients with gastrointestinal (GI) tumors except for vitamin A in patients with pancreatic cancer. No changes were obtained in the serum levels of α- and β-carotene,α- and β-cryptoxanthin, zeaxanthin, lutein in patients with GI cancer. The prevalence of Leiden mutation significantly increased in all groups of patients with GI cancer.CONCLUSION: Retinoids (as environmental factors)are decreased significantly with increased prevalence of Leiden mutation (as a genetic factor) in patients before the clinical manifestation of histologically different (planocellular and hepatocellular carcinoma, and adenocarcinoma) GI cancer. | Gyula Mózsik Gy(o|¨)rgy Rumi András D(o|¨)m(o|¨)t(o|¨)r Mária Figler Beáta Gasztonyi El(?)d Papp Alajos Pár Gabriella Pár József Belágyi Zoltán Matus Béla Melegh | 2005 | World Journal of Gastroenterology2005，11，48： | 2 |
| 2 | Efficiency of local minima and GLM techniques in sinkhole extraction from a LiDAR-based terrain model显示文摘The aim of this paper was to study reliable automated delineationpossibilities of karst sinkholes using a LiDAR-based digital terrain model(DTM) with pixel-based classifications. We applied two approaches toextract sinkholes: (1) general linear modeling (GLM) with morphometricindices derived from DTM;(2) and a local minima-based delineationusing only LiDAR DTM as the input layer. The outcome of the localminima was significantly different from the reference ones but found allthe sinkholes without previous knowledge of the area. The GLM-basedoutcome did not differ statistically from the reference. Results showedthat these approaches were efficient in detecting sinkholes based onLIDAR derivatives, and can be used for risk assessment and hazardpreparedness in karst areas: GLM had an overall accuracy of 89.5% andlocal minima had an accuracy of 92.3%;both methods identifiedsinkholes but also had commission errors, identifying depressions assinkholes. | Péter Enyedi Melinda Pap Zoltán Kovács László Takács-Szilágyi Szilárd Szabó | 2019 | International Journal of Digital Earth2019，12，9： | 0 |
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