Evidence map›Paper›PMID 40903628›Full record

ArticleOral radiology2026

Apparent diffusion coefficient for distinguishing between benign and malignant lesions in submandibular and sublingual spaces.

Yuka Tanabe, Ichiro Ogura

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Article in Oral radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Yuka TanabeQuantitative Diagnostic Imaging, Field of Oral and Maxillofacial Imaging and Histopathological Diagnostics, Course of Applied Science, The Nippon Dental University Graduate School of Life Dentistry at Niigata, 1-8 Hamaura-cho, Chuo-ku, Niigata, Niigata, 951-8580, Japan.ORCID 0009-0005-2529-8848
Ichiro OguraQuantitative Diagnostic Imaging, Field of Oral and Maxillofacial Imaging and Histopathological Diagnostics, Course of Applied Science, The Nippon Dental University Graduate School of Life Dentistry at Niigata, 1-8 Hamaura-cho, Chuo-ku, Niigata, Niigata, 951-8580, Japan. ogura@ngt.ndu.ac.jp.ORCID 0000-0002-9169-8429

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of this study was performed to investigate the apparent diffusion coefficient (ADC) for distinguishing between benign and malignant lesions in submandibular and sublingual spaces.

methodsThirteen patients with benign and malignant lesions in submandibular and sublingual spaces were evaluated by MRI. The MRI were obtained by a 1.5 T MR unit using a head coil, and included T1-weighted image (T1WI), T2-weighted image (T2WI) and diffusion-weighted image (DWI). The ADC maps were calculated automatically by the DWI obtained with b = 800 s/mm

resultsRegarding all lesions, T1WI, T2WI and DWI showed low-, high- and high-signal intensity area, respectively. The ADC of malignant lesions (1.10 ± 0.05 × 10

conclusionThe ADC could be effective for the objectively and quantitatively diagnosis of submandibular and sublingual malignant tumors.

Indexed as

Diffusion Magnetic Resonance ImagingAdultAgedDiagnosis, DifferentialFemaleHumansMaleMiddle AgedDiffusion magnetic resonance imagingHead and neck neoplasmsMouth

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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.