QUANTITATIVE DIAGNOSIS OF BRAIN TUMORS USING MAGNETIC RESONANCE SPECTROSCOPY RELATIVE TO ANALOGUE IMAGES

  • Ali Bashir Ali Elhaj Department of Radiotherapy & Nuclear Medicine, College of Medical Radiologic Science, Sudan University of Science and Technology, Khartoum, Sudan
  • Mohammed Ahmed Ali Omer College of Applied Medical Science-Department of Radiologic Technology- Qassim University, Buraidah, KSA and Department of Radiotherapy & Nuclear Medicine, College of Medical Radiologic Science, Sudan University of Science and Technology, Khartoum, Sudan
Keywords: Brain Tumors, Spectroscopy, MRI, Accuracy, Sensitivity

Abstract

The aim of this work was to determine the diagnostic variations between magnetic resonance spectroscope MRS and the conventional magnetic resonance imaging (MRI) analog image i.e. the accuracy and sensitivity of MRS, MRI and CT relative to histological section. The adapted method was a retrospective study for collecting data of brain tumor patients (350) which were being analyzed using Excel software. The results showed that: brain tumors represent an incident of 54% in Sudan during 2014 – 2017 with an increasing factor of 7.2/year. MRS showed excellent diagnostic achievement relative to standard (histology) with accuracy, sensitivity, and specificity as 93%, 90% and 85% respectively, the Diagnosis of analogue MRI by different radiologist showed 91%, 83% and 76% for accuracy, sensitivity, and specificity respectively; while CT showed 80%, 75% and 15% for accuracy, sensitivity and specificity respectively. MRS usually surpass MRI compared with the standard (histology) and the T-test showed a significant point of 0.5, depending on the level of Choline (Cho), N-Acetyl-Aspartate (NAA), Creatine/ Phosphocreatine (Cr) and Lactate (Lac).

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References

[1] De Moor, J. S., Mariotto, A. B., Parry, C., Alfano, C. M., Padgett, L., Kent, E. E. and Rowland, J. H. Cancer survivors in the United States: prevalence across the survivorship trajectory and implications for care. Cancer Epidemiology and Prevention Biomarkers, 22(4), 2013, 561-570.
[2] Gill, Simrandip. K., Panigrahy, A., Arvanitis, T. N., & Peet, A. C. Magnetic resonance spectroscopy of pediatric brain tumors. In MR Spectroscopy of Pediatric Brain
Disorders (pp. 45-60). Springer New York, 2013.
[3] Pantel, K., Alix-Panabières, C., & Riethdorf, S. Cancer micrometastases. Nature reviews Clinical Oncology, 6(6), 2009, 339-351.
[4] Benard F, Romsa J, Hustinx R. Imaging gliomas with positron emission tomography and singlephoton emission computed tomography. Semin Nucl Med, 33,
2003, 148-162.
[5] Huile Gao, Xinguo Jiang. Progress in the diagnosis and evaluation of brain tumors. Cancer Imaging 13(4), 2013, 466-481. DOI: 10.1102/1470-7330.2013.0039.
[6] Salih, F. Brain Tumors among Sudanese Patients: A histopathological Study (Doctoral dissertation), UOFK, 2015.
[7] Landis, S. H., Murray, T., Bolden, S., & Wingo, P. A. Cancer statistics. CA: A Cancer Journal for Clinicians, 49(1), 1999, 8-31.
[8] El-Dahshan, E. S. A., Hosny, T., & Salem, A. B. M. Hybrid intelligent techniques for MRI brain images classification. Digital Signal Processing, 20(2), 2010, 433-441.
[9] Sharma P, Brown S, Walter G, Santra S, Moudgil B. Nanoparticles for bioimaging. Adv Colloid Interface Sci. 2006; 123-126: 471- 485.
[10] McKnight, T. R. (2004). Proton magnetic resonance spectroscopic evaluation of brain tumor metabolism. Seminars in oncology. 31(5), pp. 605-617.
[11] Nelson, Sarah J. "Multivoxel magnetic resonance spectroscopy of brain Tumors1." Molecular Cancer Therapeutics 2(5), 2003, 497-507.
[12] Šimundić, Ana-Maria. "Measures of diagnostic accuracy: basic definitions." Medical and biological sciences 22(4), 2008, 61-65.
[13] Alireza Baratloo, Mostafa Hosseini, Ahmed Negida, Gehad El Ashal. Part 1: Simple Definition and Calculation of Accuracy, Sensitivity and Specificity. mergency; 3 (2),2015, 48-49.
[14] Greig NH, Ries LG, Yancik R, Rapoport S. I. Increasing annual incidence of primary malignant brain tumors in the elderly. J. Natl. Cancer Inst. 82(20), 1990: 1621-4. PMID: 2213902.
[15] Wang W, Hu Y, Lu P, Li Y, Chen Y, et al. Evaluation of the Diagnostic Performance of Magnetic Resonance Spectroscopy in Brain Tumors: A Systematic Review and Meta-Analysis. PLoS ONE 9(11), 2014, e112577. DOI:10.1371/journal.pone.0112577.
[16] Taghipour Zahir SH, Rezaei sadrabadi M, Dehghani F. Evaluation of Diagnostic Value of CT Scan and MRI in Brain Tumors and Comparison with Biopsy. Iranian Journal of Pediatric Hematology Oncology, 1(4), 2011, 121-125.
How to Cite
1.
Ali Bashir Ali Elhaj, Mohammed Ahmed Ali Omer. QUANTITATIVE DIAGNOSIS OF BRAIN TUMORS USING MAGNETIC RESONANCE SPECTROSCOPY RELATIVE TO ANALOGUE IMAGES. Med. res. chronicles [Internet]. 2017Oct.31 [cited 2024Dec.22];4(05):512-7. Available from: https://medrech.com/index.php/medrech/article/view/268
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Original Research Article