Evidence map›Paper›PMID 31463792›Full record

ArticleOral radiology2020

Quantitative evaluation of bone single-photon emission computed tomography using Z score analysis in patients with mandibular osteomyelitis.

Sakurako Asai, Shin Nakamura, Akira Toriihara, Ukihide Tateishi, Tohru Kurabayashi

Abstract read
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Article in Oral radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 41% of its field
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Sakurako AsaiDepartment of Oral and Maxillofacial Radiology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.
Shin NakamuraDepartment of Oral and Maxillofacial Radiology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan. shin.orad@tmd.ac.jp.
Akira ToriiharaDepartment of Diagnostic Radiology and Nuclear Medicine, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.
Ukihide TateishiDepartment of Diagnostic Radiology and Nuclear Medicine, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.
Tohru KurabayashiDepartment of Oral and Maxillofacial Radiology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.
Tokyo Medical and Dental University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesBone scintigraphy is a functional imaging that allows early detection of bone changes, providing high sensitivity to detect osteomyelitis. The aims of this study were to develop a quantitative evaluation method for bone SPECT images of mandibular osteomyelitis, and to confirm the reliability of this method by comparing the results with the conventional subjective evaluation and other findings.

methodsThe study included 139 patients with suspected mandibular osteomyelitis who were examined by bone SPECT. Tc-99 m uptake in mandibular lesions was subjectively evaluated by comparing with that of cervical vertebrae and categorized into 5 groups. For quantitative evaluation of Tc-99 m uptake, we developed an anatomical standardization followed by Z-score analysis applied to the diagnosis of brain neurodegenerative disease. To confirm reliability, the correlation between subjective evaluation and Z-score was evaluated. Further, the relationship between the Z-score and CT findings suggestive of osteomyelitis was also evaluated.

resultsThe correlation coefficient of voxel values was significantly improved by anatomical standardization. The Z-score of osteomyelitis was significantly correlated with subjective evaluation. It was also related to some of the CT findings (bone absorption, periosteal reaction, surrounding soft tissue inflammation).

conclusionsWe developed the quantitative evaluation method of the mandible on bone SPECT images using anatomical standardization followed by Z-score analysis, and it was considered useful for evaluating mandibular osteomyelitis quantitatively.

Indexed as

Neurodegenerative DiseasesOsteomyelitisHumansReproducibility of ResultsTomography, Emission-Computed, Single-PhotonTomography, X-Ray ComputedBone SPECTMandibular osteomyelitisQuantitative evaluationZ-score

Identifiers

PMID31463792
OpenAlexW2971250150

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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.