Unveiling the potential application of intraoperative brain smear for brain tumor diagnosis in low-middle-income countries: A comprehensive systematic review.

Brain tumors Intraoperative brain smear Low- and middle-income countries

Journal

Surgical neurology international
ISSN: 2229-5097
Titre abrégé: Surg Neurol Int
Pays: United States
ID NLM: 101535836

Informations de publication

Date de publication:
2023
Historique:
received: 09 06 2023
accepted: 15 08 2023
medline: 9 10 2023
pubmed: 9 10 2023
entrez: 9 10 2023
Statut: epublish

Résumé

Immediate intraoperative histopathological examination of tumor tissue is indispensable for a neurosurgeon to track surgical resection. A brain smear is a simple, rapid, and cost-effective technique, particularly important in the diagnosis of brain tumors. The study aims to determine the effectiveness of intraoperative brain smear in the diagnosis of brain tumors in low- and middle-income countries (LMICs), while also evaluating its sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and overall accuracy. A comprehensive search of the literature was conducted using PubMed, Scopus, and Google Scholar. The retrieved articles were independently screened by two reviewers. The data was extracted, processed, and organized using Microsoft Excel. A total of 59 out of 553 articles screened were included in the final analysis. The sensitivity and specificity of the intraoperative smear of brain tumors were found to be over 90% in most studies. The PPV was consistently above 90% in 11 studies, reaching 100% in one study and the NPV varied, ranging from 63% to 100%, and the accuracy was found to be >80% in most studies. One recurrent theme in the majority of the included studies was that an intraoperative brain smear is a cost-effective, quick, accessible, and accurate method of diagnosing brain tumors, requiring minimal training and infrastructure. Intraoperative brain smear is a simple, rapid, cost-effective, and highly sensitive diagnostic modality for brain tumors. It can be a viable and accessible alternative to more traditional methods such as frozen sections and can be incorporated into neurosurgical practice in LMICs as a reliable and efficient diagnostic tool.

Sections du résumé

Background UNASSIGNED
Immediate intraoperative histopathological examination of tumor tissue is indispensable for a neurosurgeon to track surgical resection. A brain smear is a simple, rapid, and cost-effective technique, particularly important in the diagnosis of brain tumors. The study aims to determine the effectiveness of intraoperative brain smear in the diagnosis of brain tumors in low- and middle-income countries (LMICs), while also evaluating its sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and overall accuracy.
Methods UNASSIGNED
A comprehensive search of the literature was conducted using PubMed, Scopus, and Google Scholar. The retrieved articles were independently screened by two reviewers. The data was extracted, processed, and organized using Microsoft Excel.
Results UNASSIGNED
A total of 59 out of 553 articles screened were included in the final analysis. The sensitivity and specificity of the intraoperative smear of brain tumors were found to be over 90% in most studies. The PPV was consistently above 90% in 11 studies, reaching 100% in one study and the NPV varied, ranging from 63% to 100%, and the accuracy was found to be >80% in most studies. One recurrent theme in the majority of the included studies was that an intraoperative brain smear is a cost-effective, quick, accessible, and accurate method of diagnosing brain tumors, requiring minimal training and infrastructure.
Conclusion UNASSIGNED
Intraoperative brain smear is a simple, rapid, cost-effective, and highly sensitive diagnostic modality for brain tumors. It can be a viable and accessible alternative to more traditional methods such as frozen sections and can be incorporated into neurosurgical practice in LMICs as a reliable and efficient diagnostic tool.

Identifiants

pubmed: 37810296
doi: 10.25259/SNI_491_2023
pii: 10.25259/SNI_491_2023
pmc: PMC10559528
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

325

Informations de copyright

Copyright: © 2023 Surgical Neurology International.

Déclaration de conflit d'intérêts

There are no conflicts of interest.

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Auteurs

Muhammad Shakir (M)

Department of Surgery, Section of Neurosurgery, Aga Khan University Hospital, Karachi, Pakistan.

Ahmed Altaf (A)

Department of Surgery, Section of Neurosurgery, Aga Khan University Hospital, Karachi, Pakistan.

Hawra Hussain (H)

Medical School, Aga Khan University Hospital, Karachi, Pakistan.

Syed Muhammad Aqeel Abidi (SMA)

Medical School, Aga Khan University Hospital, Karachi, Pakistan.

Zoey Petitt (Z)

Duke University School of Medicine, Durham, North Carolina, United States.

Mahnoor Tariq (M)

Department of Surgery, Section of Neurosurgery, Aga Khan University Hospital, Karachi, Pakistan.

Ahmed Gilani (A)

Department of Pathology, Aga Khan University Hospital, Karachi, Pakistan.

S Ather Enam (SA)

Department of Surgery, Section of Neurosurgery, Aga Khan University Hospital, Karachi, Pakistan.

Classifications MeSH