Application of MRI for diagnosis of selected diseases and disorders in patients admitted to the teaching hospital in Olsztyn
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Department of Pathophysiology, School of Medicine, Collegium Medicum, University of Warmia and Mazury in Olsztyn, Poland
Submission date: 2016-10-29
Acceptance date: 2017-04-23
Online publication date: 2018-02-20
Publication date: 2019-11-15
Corresponding author
Ewa Bejer-Oleńska   

Department of Pathophysiology, School of Medicine, Collegium Medicum, University of Warmia and Mazury, Warszawska 30, 10-082 Olsztyn, Poland. Tel./fax: +48 89 524 61 33.
Pol. Ann. Med. 2018;25(1):33-40
Early and accurate identification of diseases and disorders is critical for patients and medical staff. Magnetic resonance imaging (MRI) offers a wide range of diagnostic applications to fulfill these expectations.

This study aimed to determine the incidence of selected diagnoses and evaluate the population of patients examined with an MRI during the years 2011–2015 at the University Clinical Hospital in Olsztyn (UCH).

Material and methods:
The retrospective analysis of 5587 MRI scans and 5454 patients diagnosed in the MRI Laboratory at UCH was performed. Disease categories were assigned according to the International Statistical Classification of Diseases and Related Health Problems (ICD-10). SPSS software was used to determine the incidence of specific diagnoses and descriptive variables of the studied population.

Results and discussion:
More women (61%) than men (39%) were enrolled, and the diseases of the nervous system (G-letter-coded category) were predominant with one-third of patients presenting with nerve root and plexus disorders. Benign neoplasms of the nervous system were also diagnosed, but those results are beyond the scope of this article. Among symptoms, signs and abnormal clinical and laboratory findings not elsewhere classified mostly dizziness and giddiness were found, and injuries and consequences of external causes included mostly dislocations, sprain and strain of joints and ligaments of knee.

The total number of MRI-diagnosed females was higher in all disease categories and age-groups, with the exception of young- and middle-aged adults 31–60 years of age in the category of injuries and consequence of external causes.

This work was supported by the European Union with the European funds POPW.01.03.00-28.014/09-00.
The authors declare no conflict of interest.
Blanco RT, Ojala R, Kariniemi J, Perälä J, Niinimäki J, Tervonen O. Interventional and inoperative MRI at low field scanner – a review. Eur J Radiol. 2005;56(2):130–142.
Rinck PA. Magnetic Resonance in Medicine. The Basic Textbook of the European Magnetic Resonance Forum. 9th edition; 2016. E-version 9.1 beta.
Nuti S, Vainieri M. Managing waiting times in diagnostic medical imaging. BMJ Open. 2012;2(6):e001255.
Smith-Bindan R, Miglioretti DL, Johnson E, et al. Use of diagnostic imaging studies and associated radiation exposure for patients enrolled in Large Integrated Healthcare Systems, 1996-2010. JAMA. 2012;307(22):2400–2409.
Niska R, Bhuiya F, Xu J. National Hospital Ambulatory Medical Care Survey: 2007 Emergency Department Summary. Natl Health Stat Report. 2010;6(26):1–31.
Morrison A. Appropriate utylization of advanced diagnostic imaging procedures: CT, MRI, and PET/CT [Environmental Scan, Issue 39]. Ottawa: Canadian Agency for Drugs and Technologies in Health; 2013.
el-Khoury GY, Manning TA, Tearse DS. MRI in the diagnosis of knee injuries. Iowa Orthop J. 1993;13:70–78.
Crawford R, Walley G, Bridgman S, Maffulli N. Magnetic resonance imaging versus arthroscopy in the diagnosis of knee pathology, concentrating on meniscal lesions and ACL tears: a systematic review. Br Med Bull. 2007;84:5–23.
Murphy DF, Connolly DAJ, Beynnon BD. Risk factors for lower extremity injury: a review of the literature. Br J Sports Med. 2003;37(1):13–29.
Kung PT, Tsai WC, Yaung CL, Liao KP. Determinants of computed tomography and magnetic resonance imaging utilization in Taiwan. Int J Technol Assess. 2005;21(1):81–88.
Freid VM, Berstein AB. Health care utilization among adults aged 55-64 years: How has it changed over the past 10 years? NCHS data brief, no 32. Hyattsville, MD: National Center for Health Statistics; 2010.
Bejer-Olenska E, Wojtkiewicz J. Utilization of MRI technique in the patient population admitted between 2011–2015 to the University Clinical Hospital in Olsztyn. Pol Ann Med. 2017;24(2):199–204.
Livstone BJ, Parker L, Levin DC. Trends in the utylization of MR angiography and body MR imaging in the U.S. Medicare population: 1993–1998. Radiology. 2002;222(3):615–618.
Niwa K, Uchisshiba M, Aotsuka H, et al. Systematic diagnostic method using magnetic resonance imaging to analyze viscero-bronchial-cardiovascular anomalies in pediatric patients with congenital heart disease. Int J Angiol. 1996;5(2):70–77.
Duczkowska A, Duczkowski M, Romaniuk-Doroszewska A, et al. [The value of neuroimaging (MRI and CT) in the diagnostics of headaches in children and adults – own experience]. Med Wieku Rozwoj. 2007;11(3 Pt 1):261–268 [in Polish].
Xu J, Kobayashi S, Yamaguchi S, Iijima K, Okada K, Yamashita K. Gender effects on age-relted changes in brain structure. AJNR Am J Neuroradiol. 2000;21(1):112–118.
Chalela JA, Kidwell CS, Nentwich LM, et al. Magnetic resonance imaging and computed tomography in emergency assessment of patients with suspected acute stroke: a prospective comparison. Lancet. 2007;369(9558):293–298.
Ge Y. Multiple sclerosis: the role of MR imaging. AJNR AM J Neuroradiol. 2006;27(6):1165–1176.
Prima S, Ayache N, Janke A, Francis SJ, Arnold DL, Collins DL. Statistical analysis of longitudinal MRI data: applications for detection of disease activity in MS. In: Dohi T, Kikinis R, eds. Medical Image Computing and Computer-Assisted Intervention — MICCAI 2002. Springer-Verlag Berlin Heidelberg; 2002:363–371.
Traboulsee A, Létourneau-Guillon L, Freedman MS, et al. O’Connor PW, Bharatha A, Chakraborty S. Can J Neurol Sci. 2015;42(3):159–167.
Pardoe H, Kuzniecky R. Advanced imaging techniques in the diagnosis of nonlesional epilepsy: MRI, MRS, PET, and SPECT. Epilepsy Curr. 2014;14(3):121–124.
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