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DOI 10.1080/01616412.2021.2024730

Медицинская библиотека · Neurological research · 2022

Surgical resection of dysembryoplatic neuroepithelioma tumor associated with epilepsy based on imaging classification.

Yao Yang, Zhang Dong, Qi Yinbao, Qian Ruobing, Niu Chaoshi, Fei Xiaorui

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Аннотация

OBJECTIVE

Dysembryoplastic neuroepithelioma tumors (DNETs) are rare glioneuronal tumors usually present with partial epilepsy. We analyzed the surgical curative effect of DNETs based on imaging classification.

METHODS

The clinical, neuroimaging, seizure history, neuropathological data, and other medical records of 21 cases of cerebral hemisphere DNETs were collected and analyzed retrospectively. According to the magnetic resonance imaging (MRI) classification of Chassoux, these cases were divided into 8 cases of type I (thylakoid type), 6 cases of type II (nodular type), and 7 cases of type III (dysplasia). All patients received detailed preoperative evaluation and underwent surgical treatment. We statistically compared the postoperative seizure outcome of different DNET MRI types by Engel classification.

RESULTS

All tumors were surgically removed and pathologically diagnosed as DNETs. The follow-up period was 5-68 months Engel class I outcome was achieved in all type I cases, 3 (50%) type II cases, and 3 (42.9%) type III cases. The postoperative seizure outcome of MRI type I was better than that of type II and III.

CONCLUSION

Based on the MRI classification of DNET by Chassoux, the postoperative epilepsy control of type I is better than that of type II and type III, which may be related to the residual FCD around the tumor of type II and type III. Thus, the MRI classification of DNET can contribute to the preoperative design of the resection plan. Total resection of type I and extended resection of type II, as well as type III, will help to improve the postoperative seizure-free rate in DNET.

Для цитирования: Yao Yang, Zhang Dong, Qi Yinbao, Qian Ruobing, Niu Chaoshi, Fei Xiaorui. Surgical resection of dysembryoplatic neuroepithelioma tumor associated with epilepsy based on imaging classification.. Neurological research. 2022. DOI: 10.1080/01616412.2021.2024730.

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