Open Access
Subscription Access
Open Access
Subscription Access
Cns Lesions- Case Series Analysis in a Tertiary Care Hospital
Subscribe/Renew Journal
Central nervous system lesions are a heterogeneous group of diseases including neoplastic and non-neoplastic. The incidence of CNS tumors in India was about 1.9% of all the tumors. Various studies have been done on CNS tumors across the India and world. Aim and Objective: To study the different lesions in different age and sex group Grade wise analysis of lesions Analysed the lesions according to the site To study the non-neoplastic lesions. The aim of this study is to analyses the various patterns of CNS lesions and compare with the other studies Materials and Methods: A retrospective analysis of CNS lesions are studied in the department of pathology, Saveetha Medical College and Hospital, Thandalam, Chennai, over one year from January to December 2019, Results and conclusion: A total of 200 CNS lesions were analyzed, 98(49%) were males and 102 cases (51%) were females. The maximum age is 75 and the minimum age is 2 years. The most common lesions were grade I 79(39.5%) followed by grade II 16(8%), grade III 7(3.5%) and grade IV 15(7.5%) The study showed various histological patterns of central nervous system lesions in different age groups, location, frequency, and incidence.
Keywords
Gliomas, Meningioma, Fungal and parasitic infections, Degenerated disc material, Colloid and arachnoid cyst.
Subscription
Login to verify subscription
User
Font Size
Information
- Dogar T, Imran AA, Hasan M, Jaffar R, Bajwa R, Qureshi Id. Space Occupying Lesions of the central nervous system: A radiological and histopathologicalcorrelation.biomedical, 2015; 31 (1) : 15-20.
- NeelankantaiahA.Morphological patterns of Intracranial Lesions in a Tertiary Care Hospital in North Karnataka: A Clinicopathological and Immunohistochemical Study. JCDR, 2016; 10 (8): ECoI-Eco5.
- Monga K, Gupta VK, Gupta S, Marwh K. Clinicopathological study and epidemiological spectrum of brain tumors in Rajasthan. IJBAMR. 2015;5 (1): 728-734.
- Aryal G. Histological pattern of central nervous system tumor: A three-year retrospective study. J.path. Nepal.2011; 1(1) : 22-25.
- Vovoras D, Pokhrel K, Tsokos C. Epidemiology of tumors of the brain and the central nervous system: Review of incidence and patterns among histological subtypes. OJEpi.2014; 04(04):224-234.
- Chen L, Zou X, Wang Y, Mao Y, Zhou L. Central nervous system tumors: a single-center pathology review of 34,140 cases over 60years. BMC Clinical Pathology. 2013;13(1).
- Lakshmi KM H Sunkesula S D S T B L Histopathological study of the spectrum of the lesions of the central nervous system in a tertiary care hospital.JEMDS.2015;4(07):1145-1150.
- Nibhoria S, Tiwana KK, Phutella R, Bajaj A, Chhabra S, Bansal S. Histological spectrum of central nervous system tumors: A single-center study of 100 cases IJSS. 2015;3 (6): 130-134.
- Hashmi A, Faridi N, Malik B , Edhi M , KhurshidA,Khan M Morphological spectrum of glial tumours:An increased towards oligodendroglial tumours in Pakistan Int Archives of Med .2014: 7(1):33
- Krishnatewya M, Kataki A, Sharma J, Bhattacharyya M, Nandy P, Hazarika M. Brief descriptive epidemiology of primary malignant brain tumours from north-east India Asian Pac.J.Cancer Prevention,2014:15(22);9871-9873.
- NirishaSriram, Thenmozhi, SamrithiYuvaraj. Effects of Mobile Phone Radiation on Brain: A questionnaire based study. Reaearch J. Pharm. And Tech. 8(7): July, 2015; 867-870
- Ganesan P, B.S. Sathish, R. Murugesan. A Simple Approach to Automated Brain Tumor Segmentation and Classification. Research J. Pharm. and Tech. 2019; 12(7):3564-3568
- B. Rajasekar. Brain Tumour Segmentation using CNN and WT. Research J. Pharm. and Tech. 2019; 12(10):4613-4617.
- ImayanmoshaWahlang, Pallabi Sharma, GoutamSaha, Arnab K. Maji. Brain Tumor Classification Techniques using MRI: A Study. Research J. Pharm. and Tech 2018; 11(10): 4764-4770
- C. SaranyaJothi, V. Usha, S. Alex David, Hijaj Mohammed. Abnormality Classification of Brain Tumor in MRI Images using Multiclass SVM. Research J. Pharm. and Tech. 2018; 11(3): 851-856
- K. Srilatha, V. Ulagamuthalvi.A Comparative Study on Tumour Classification. Research J. Pharm. and Tech 2019; 12(1): 407-411.
- Swarnakala, NatarajahSrikumaran. Brain Tumor Segmentation by EM Algorithm. Research J. Pharm. and Tech. 2017; 10(9): 3022-3024
- G. Merlin Sheeba, M. S. Godwin Premi, G. Mary Valantina, Z. Mary Livinsa.Brain Tumor Segmentation using Contextual Clustering and Object Labeling in MRI. Research J. Pharm. and Tech. 2020; 13(4):1833-1836
- Ganesan P, B. S. Sathish, V. Elamaran, R. Murugesan. Brain Tumour Segmentation and Measurement Based on Threshold and Support Vector Machine Classifier. Research J. Pharm. and Tech 2020; 13(6):2573-2577.
- T. Sudhakar, BethanneyJanney. J, Haritha. D, Juliet Sahaya. M, Parvathy. V. Automatic Detection and Classification of Brain Tumor using Image Processing Techniques. Research J. Pharm. and Tech 2017; 10(11): 3692-3696.
- Moon R. S., Mitkare S.S., Kshirsagar R.V, Kale A.G., Shinde N.D., Malewar A.S., Pawde P.K.. Intranasal Route: A Novel Approach for CNS Delivery. Research J. Pharm. and Tech.3 (4): Oct.-Dec.2010; Page 970-978
- Nair M,VargheseC,SwaminathanR,Cancer:Currentscenario,Intervention strategies and projections for 2015.NCMH Background Papers 2015.
- YeoleBB.Trends in the brain cancer incidence in India. Asian Pac J Cancer Prev2008;9:267-70.
- KumarC,AbbasAK,John C. Aster. The Central Nervous System.I; Robbins and Cortan Pathologic Basis of Disease-VolII.South Asian Edition. 2014 Reed Elsevier India Pvt.Ltd.P.1306
- Meena B. patil, Manjiri N, Karandikar.Retrospectrive Analysis Of Intracranial and Intraspinal Space Occupyng Lesions at Tertiary Care Centre-A Five Year Study. InterNational Journal Of Research GRANTHAALATAH.2018;6(10): 100 - 109
- HemaNeelakantaiahAnadure et al., Clinicopathological and Immunohistochemical Study of ICSOL.Journal of Clinical and Diagnostic Research. 2016 Aug, Vol-10(8): EC01-EC05.
- Reddy R,Praveenk,singhR,Histopathological spectrum of meningioma and its variants.AsianPac.J. Health Sci.2016;3(1):151-155.
- GadgilN,MargamS,ChaudhariC,KumavatP,Thehistopathological spectrum of meningeal neoplasms.IJPO.2016;3(3):432-236.
- Rathod V, Bhole A, Chauhan M, Ramteke H, Wani B. Study of clinico-radiological and clinico-pathological correlation of intracranial space occupying lesion at rural center. The Internet Journal of Neurosurgery [Internet]. 2009 [cited 2013 october 26];7(1).
- Butt ME, Khan SA, Chaudrhy NA and Qureshi GR. Intracranial Space occupying lesions – A morphological analysis. Biomedica. 2005;21:31-35.
- Kothari F, Shah A. Prospective study of intra cranial tumour. SEAJCRR. 2014; 03(5):918-32.
- Mahmood MZ. Intra cranial space occupying lesions in saudi patients using computed tomography. Asian J Med Radiol Research. 2013;1(1):25-28.
Abstract Views: 148
PDF Views: 0