2019
DOI: 10.7860/jcdr/2019/41334.12957
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Tuberculoma Versus Neurocysticercosis: Can Magnetic Resonance Spectroscopy and Diffusion Weighted Imaging Solve the Diagnostic Conundrum?

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Cited by 7 publications
(12 citation statements)
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“…2b) and tuberculoma (Fig. 2a) were the most common infective lesions in our study, which is in coherence with a study done by Maheshwarappa RP et al 12 and Chander R et al 1 . In adults, most cases of neurocysticercosis were of stage IV disease, as also found by Chander R et al 1 Manjunath MN et al 13 in their study on CNS tuberculosis found predilection for younger population in 60-70% of cases.…”
Section: Infective Lesionssupporting
confidence: 93%
“…2b) and tuberculoma (Fig. 2a) were the most common infective lesions in our study, which is in coherence with a study done by Maheshwarappa RP et al 12 and Chander R et al 1 . In adults, most cases of neurocysticercosis were of stage IV disease, as also found by Chander R et al 1 Manjunath MN et al 13 in their study on CNS tuberculosis found predilection for younger population in 60-70% of cases.…”
Section: Infective Lesionssupporting
confidence: 93%
“…Signs and symptoms, such as fever and a raised erythrocyte sedimentation rate, may also be present to suggest an inflammatory lesion, although they are not specific or confirmatory. Therefore, MRS would increase the possibility of a correct diagnosis as it can provide additional biochemical information and diffusion imaging that is based on the restriction of water molecules by the lesion [12].…”
Section: Discussionmentioning
confidence: 99%
“…22 Recent advances in conventional imaging including sequences such as perfusion weighted imaging, diffusion weighted imaging and MR spectroscopy have significantly improved the diagnosis of intracranial tuberculomas and its differentiation from closely mimicking pathologies, however to the best of our knowledge no clinical or imaging method exists, which at source can determine the treatment response in intracranial tuberculomas. 23,24 In our cohort also we observed that conventional MRI imaging cannot reliably differentiate the two types of responses. Therefore, development of an image-based tool which at source can predict the eventual outcome of disease and separate responsive versus resistant cases can be extremely helpful, which can allow making a wise choice between various medical and surgical treatment options, determination of the treatment outcome and early counseling of patient regarding approximate expectation.…”
Section: Discussionmentioning
confidence: 59%