Primary intraspinal ganglioneuroblastoma of the thoracic spine: A rare case report

Tripathy, Kalpalata; Misra, Aparijita; Gouda, Amiya Kumar; Das, Srikant; Das, Bidyutprava

doi:10.4103/0377-4929.107805

Cited by 5 publications

(1 citation statement)

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“…[12,13,14] The most common presentation of ganglioneuroblastoma is abdominal distension, pain and neurologic symptoms due to nerve root compression and Horner's syndrome. [15,16,17] Ganglioneuroblastoma has more than 50% Schwann cells with randomly distributed neuroblast nests, maturing and mature ganglion cells and neuropil with nests of naked neuropil. Ganglion cell differentiation is shown by nuclear and cytoplasmic enlargement, distinct cell borders, and increased cytoplasmic eosinophilia.…”

Section: Discussionmentioning

confidence: 99%

Peripheral Neuroblastic Tumours

Akbar

Saldanha

2019

ijirms

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Background: Peripheral neuroblastic tumours arise from the neural crest cells in the sympathetic nervous tissue. These are rare, but are the most common among the extracranial solid tumours occurring in children. Method: This was a retrospective study conducted on 15 cases of peripheral neuroblastic tumours. The demographic details were recorded and the slides were analysed for the microscopic features and classified according to International Neuroblastoma Pathology Classification (INPC). Results: Out of the 15 peripheral neuroblastic tumour cases, 8 were males and 7 females. Seven cases came under age group <1.5years, 5 were between 1.5 years to 5 years and 5 cases were over 5 years of age. Seven tumours were from the retroperitoneal region, 4 cases were from the adrenal gland, 2 from intracranium and one case each was from the neck and the mediastinal regions. There were 8 Neuroblastoma cases, 2 cases of Ganglioneuroblastoma and 5 cases of Ganglioneuroma. It was found that 8 tumours were in the favourable histology group and 7 tumours in the unfavourable histology group. Conclusion: Peripheral neuroblastic tumours are rare. It is important to classify them accurately according to the various categories which help to determine the prognosis.

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