Evidence map›Paper›PMID 32363050›Full record

ArticleSurgical neurology international2020

Precision of preoperative diagnosis in patients with brain tumor - A prospective study based on "top three list" of differential diagnosis for 1061 patients.

Kazunori Arita, Makiko Miwa, Manoj Bohara, F M Moinuddin, Kiyohisa Kamimura, Koji Yoshimoto

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Article in Surgical neurology international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 35% of its field
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Kazunori AritaDepartment of Neurosurgery, Kagoshima University, Sakuragaoka, Kagoshima, Japan.
Makiko MiwaDepartment of Neurosurgery, Kagoshima University, Sakuragaoka, Kagoshima, Japan.
Manoj BoharaDepartment of Neurosurgery, Kagoshima University, Sakuragaoka, Kagoshima, Japan.
F M MoinuddinDepartment of Neurologic Surgery, Mayo Clinic, Rochester, MN, United States.
Kiyohisa KamimuraDepartment of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, Sakuragaoka, Kagoshima, Japan.
Koji YoshimotoDepartment of Neurosurgery, Kagoshima University, Sakuragaoka, Kagoshima, Japan.
Kagoshima University · JPWinnMed · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate diagnosis of brain tumor is crucial for adequate surgical strategy. Our institution follows a comprehensive preoperative evaluation based on clinical and imaging information.

methodsTo assess the precision of preoperative diagnosis, we compared the "top three list" of differential diagnosis (the first, second, and third diagnoses according to the WHO 2007 classification including grading) of 1061 brain tumors, prospectively and consecutively registered in preoperative case conferences from 2010 to the end of 2017, with postoperative pathology reports.

resultsThe correct diagnosis rate (sensitivity) of the first diagnosis was 75.8% in total. The sensitivity of the first diagnosis was high (84-94%) in hypothalamic-pituitary and extra-axial tumors, 67-75% in intra-axial tumors, and relatively low (29-42%) in intraventricular and pineal region tumors. Among major three intra-axial tumors, the sensitivity was highest in brain metastasis: 83.8% followed by malignant lymphoma: 81.4% and glioblastoma multiforme: 73.1%. Sensitivity was generally low (≦60%) in other gliomas. These sensitivities generally improved when the second and third diagnoses were included; 86.3% in total. Positive predictive value (PPV) was 76.9% in total. All the three preoperative diagnoses were incorrect in 3.4% (36/1061) of cases even when broader brain tumor classification was applied.

conclusionOur institutional experience on precision of preoperative diagnosis appeared around 75% of sensitivity and PPV for brain tumor. Sensitivity improved by 10% when the second and third diagnoses were included. Neurosurgeons should be aware of these features of precision in preoperative differential diagnosis of a brain tumor for better surgical strategy and to adequately inform the patients.

Indexed as

Brain tumorPositive predictive valuePrecisionPreoperative differential diagnosisSensitivity

Identifiers

PMID32363050
PMCPMC7193216
OpenAlexW3014045055

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.