Affiliation:
1. Junior Resident, Department Of Radio Diagnosis, Konaseema Institute Of Medical Sciences And Research Foundation, Amalapuram - 533201
Abstract
Cerebral infarction is the leading cause of mortality and morbidity worldwide. The time of diagnosis of
cerebral infarction plays a crucial role in the treatment and prognosis of the patient. The intravenous
tissue plasminogen activator (tPA) given within three hours after the onset of stroke or early revascularization by percutaneous
interventions are the early treatment of choices and has good prognostic value. MRI plays a vital role in the diagnosis of
cerebral infarction. A less time-consuming MRI sequence like diffusion with ADC correlation is a highly sensitive imaging
technique for early detection. During the early stages of brain infarction which is less than 6 hours after the onset of symptoms,
MRI sequences such as T1 and T2 showed no changes. Therefore, DWI and ADC correlation with magnetic resonance imaging
plays a vital role improved in the early diagnosis and assessing the prognosis of the patient. The present study is a hospitalbased prospective, cross-sectional study done in 75 patients, who underwent MRI brain evaluation in the department of
radiodiagnosis, at Kona Seema institute of medical sciences, for a period of 12 months. Patients who fullled the inclusion and
exclusion criteria were selected. ADC and r ADC values are calculated in all patients. The aim of the study is to show that the
Apparent Diffusion Coefcient (ADC), diffusion-weighted imaging (DWI) varies with time and space in cerebral infarction and
to determine the stage of the infarction using r ADC values, ADC and DWI. In our present study, we proved that the average ADC
values and the rADC values change with time and space which helps us to accurately stage the brain infarction in terms of
acute, subacute, and chronic cerebral infarction. Combined analysis of DWI with ADC correlation and routine MRI sequences
are used for the accurate evaluation of the brain infarction and to assess the progress and treatment plans after brain
infarction
Subject
Organizational Behavior and Human Resource Management,Applied Psychology,Ecology, Evolution, Behavior and Systematics,Sociology and Political Science,Philosophy,Religious studies,Education,Library and Information Sciences,Museology,Information Systems,History,Visual Arts and Performing Arts,History and Philosophy of Science,Health Policy,General Medicine,Issues, ethics and legal aspects,General Medicine,Organic Chemistry,Drug Discovery,Pharmacology,Management, Monitoring, Policy and Law,Nature and Landscape Conservation,Ecology,Pharmacology (medical),Drug Discovery,Pharmaceutical Science,Pharmacology
Reference5 articles.
1. Pantano P, Totaro P, Raz E. Cerebrovascular diseases. Neurol Sci 2008;29 (Suppl 3):314-8.
2. Yanaka K, Shirai S, Kimura H, Kamezaki T, Matsumura A, Nose T. Clinical application of diffusion-weighted magnetic resonance imaging to intracranial disorders. Neurol Med Chir (Tokyo) 1995;35:648–54.
3. Shen JM, Xia XW, Kang WG, Yuan JJ, Sheng J. The use of MRI apparent diffusion coefficient (ADC) in monitoring the development of brain infarction. BMC Medical Imaging 2011, 11.
4. Lansberg MG, Thijs VN, O'Brien MW, Ali JO, de Crespigny AJ, Tong DC, Moseley ME, Albers GW. Evolution of apparent diffusion coefficient, diffusionweighted, and T2-weighted signal intensity of acute stroke. AJNR Am J Neuroradiol2001;22:637–644.
5. Maldjian JA, Grossman RI. Future applications of DWI in MS. J Neurol Sci. 2001;186(Suppl 1):S55–57.