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10.1155/2018/2715831

http://scihub22266oqcxt.onion/10.1155/2018/2715831
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C5828563!5828563!29607316
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suck abstract from ncbi

pmid29607316      Biomed+Res+Int 2018 ; 2018 (ä): ä
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  • Application of MRI for the Diagnosis of Neoplasms #MMPMID29607316
  • Bejer-Ole?ska E; Thoene M; W?odarczyk A; Wojtkiewicz J
  • Biomed Res Int 2018[]; 2018 (ä): ä PMID29607316show ga
  • Aim: The aim of the study was to determine the most commonly diagnosed neoplasms in the MRI scanned patient population and indicate correlations based on the descriptive variables. Methods: The SPSS software was used to determine the incidence of neoplasms within the specific diagnoses based on the descriptive variables of the studied population. Over a five year period, 791 patients and 839 MRI scans were identified in neoplasm category (C00-D48 according to the International Statistical Classification of Diseases and Related Health Problems ICD-10). Results: More women (56%) than men (44%) represented C00-D48. Three categories of neoplasms were recorded. Furthermore, benign neoplasms were the most numerous, diagnosed mainly in patients in the fifth decade of life, and included benign neoplasms of the brain and other parts of the central nervous system. Conclusions: Males ? 30 years of age with neoplasms had three times higher MRI scans rate than females of the same age group; even though females had much higher scans rate in every other category. The young males are more often selected for these scans if a neoplasm is suspected. Finally, the number of MRI-diagnosed neoplasms showed a linear annual increase.
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