Utilization of MRI technique in the patient population admitted between 2011 and 2015 to the University Clinical Hospital in Olsztyn

Bejer-Oleńska, Ewa; Wojtkiewicz, Joanna

doi:10.1016/j.poamed.2017.03.001

Cited by 2 publications

(2 citation statements)

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“…Between 2011 and 2015, there were 13,298 MRI scans conducted at the MRI Laboratory of the UCH. Analysis of a distribution of letter-coded categories according to the ICD-10 has been performed in our previous publication [ 14 ]. The most common MRI examined groups of diseases and disorders were identified, and the neoplasm category (C and D) is one of the five most often diagnosed in UCH.…”

Section: Resultsmentioning

confidence: 99%

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Application of MRI for the Diagnosis of Neoplasms

Bejer-Oleńska

Thoene

Włodarczyk

et al. 2018

BioMed Research International

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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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Section: Resultsmentioning

confidence: 99%

“…The number of scans and patients and patient characteristics were analyzed to find correlations with C and D letter-coded category according to the International Statistical Classification of Diseases and Related Health Problems (ICD-10) [ 13 ]. The patients and diagnosis coding procedure has been described in our previous publication [ 14 ].…”

Section: Methodsmentioning

confidence: 99%