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ZENODO
Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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MR Spectroscopy and Post-Operative Histopathology in Diagnosis of IntraCranial Space Occupying Lesions – A Comparative Study

Authors: Gaurav Batra; Biju Bhadran; Girish K.M.; , Pooja Batra;

MR Spectroscopy and Post-Operative Histopathology in Diagnosis of IntraCranial Space Occupying Lesions – A Comparative Study

Abstract

Aim: The aim of the present study was to assess the various MR Spectroscopy findings in Intra-cranial spaceoccupying lesions that help to make a clinical diagnosis and effectiveness of MR Spectroscopy in diagnosingIntra-cranial space occupying lesions and its accuracy as confirmed by post-operative histopathological findings.Methods: The present study was conducted in the Department of Neurosurgery, Government TD MedicalCollege, Alappuzha, Kerala. 18 months after Institutional Ethics Committee approval. Data was collected for aperiod of 12 months and analysis was done at the end of 12 months. All patients admitted with intra-cranial spaceoccupying lesion and undergoing surgery under Department of Neurosurgery, Government TD Medical College,Alappuzha, Kerala and who were willing to participate in the study.Results: It was observed that out of the total 50 cases participated in the study, most of the cases i.e. 9 (18%) each, belong to the age group of 31-40 years and 51-60 years, followed by 8 (16%) each in age group of 41-50 yearsand 61-70 years. Out of total 50 cases participated in the study, 32 (64%) were males and 18 (36%) were females,with male to female ratio 1.8:1. Most common diagnosis among the participated cases was Glioma in 17 (34%)cases followed by meningioma in 11 (22%) cases, abscess in 3 (6%) cases and metastasis, pituitary tumour,lymphoma, pineal tumour each in 2 (4%) cases. After Histopathological examination, most common findingobserved was Glioma in 17 (34%) cases followed by meningioma in 11 (22%) cases.Conclusion: The present study has shown MRS can differentiate neoplastic from the non-neoplastic intracraniallesions, as well as diagnose various lesions based on metabolite ratios and spectrum, helps in better tissuecharacterization improving the accuracy and confidence level of neurosurgeons in their diagnosis. 

Aim: The aim of the present study was to assess the various MR Spectroscopy findings in Intra-cranial spaceoccupying lesions that help to make a clinical diagnosis and effectiveness of MR Spectroscopy in diagnosingIntra-cranial space occupying lesions and its accuracy as confirmed by post-operative histopathological findings.Methods: The present study was conducted in the Department of Neurosurgery, Government TD MedicalCollege, Alappuzha, Kerala. 18 months after Institutional Ethics Committee approval. Data was collected for aperiod of 12 months and analysis was done at the end of 12 months. All patients admitted with intra-cranial spaceoccupying lesion and undergoing surgery under Department of Neurosurgery, Government TD Medical College,Alappuzha, Kerala and who were willing to participate in the study.Results: It was observed that out of the total 50 cases participated in the study, most of the cases i.e. 9 (18%) each, belong to the age group of 31-40 years and 51-60 years, followed by 8 (16%) each in age group of 41-50 yearsand 61-70 years. Out of total 50 cases participated in the study, 32 (64%) were males and 18 (36%) were females,with male to female ratio 1.8:1. Most common diagnosis among the participated cases was Glioma in 17 (34%)cases followed by meningioma in 11 (22%) cases, abscess in 3 (6%) cases and metastasis, pituitary tumour,lymphoma, pineal tumour each in 2 (4%) cases. After Histopathological examination, most common findingobserved was Glioma in 17 (34%) cases followed by meningioma in 11 (22%) cases.Conclusion: The present study has shown MRS can differentiate neoplastic from the non-neoplastic intracraniallesions, as well as diagnose various lesions based on metabolite ratios and spectrum, helps in better tissuecharacterization improving the accuracy and confidence level of neurosurgeons in their diagnosis. 

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Keywords

MR Spectroscopy; Intra-Cranial space occupying lesions; Data accuracy; metabolites; Specificity; Sensitivity

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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