ArticleDento maxillo facial radiology2013
Role of diffusion-weighted MRI in differentiation of masticator space malignancy from infection.
Article in Dento maxillo facial radiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 36 citations in OpenAlex.
- Quantitative magnetic resonance imaging analysis of salivary glands: effects of age and number of remaining teeth.Odontology · 2026Article
- Methodological considerations on segmenting rhabdomyosarcoma with diffusion-weighted imaging-What can we do better?Insights into imaging · 2023Review
- Quantitative assessment of age-related changes in the mandibular bone marrow using apparent coefficient value.Oral radiology · 2022Article
- Invasive aspergillosis of the skull base in an immunocompetent patient: a diagnostic challenge.BMJ case reports · 2021Article
- Differentiation malignant from benign parotid tumors in children with diffusion-weighted MR imaging.Oral radiology · 2021Article
- A Rare Case of Idiopathic Temporal Muscle Abscess in a Nine-month-old Infant.Internal medicine (Tokyo, Japan) · 2019Article
- Multimodal imaging of fibrosing mesenteric tuberculosis.Radiology case reports · 2019Article
- Prediction of malignancy of submandibular gland tumors with apparent diffusion coefficient.Oral radiology · 2019Article
- Characterization of salivary gland tumours with diffusion tensor imaging.Dento maxillo facial radiology · 2018Article
- Performance of apparent diffusion coefficient of medial and lateral rectus muscles in Graves' orbitopathy.The neuroradiology journal · 2017Article
- Differentiation of benign and malignant lesions of the tongue by using diffusion-weighted MRI at 3.0 T.Dento maxillo facial radiology · 2015Article
- Use of diffusion-weighted imaging (DWI) in PET/MRI for head and neck cancer evaluation.European journal of nuclear medicine and molecular imaging · 2014Article
- Computed tomography and magnetic resonance imaging of lesions at masticator space.Japanese journal of radiology · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe aim of this study was to assess the role of the apparent diffusion coefficient (ADC) value in differentiation of masticator space malignancy from infection.
methodsA retrospective study of 49 patients (31 male and 18 female; age range 5-66 years) with masticator space lesion was conducted. They underwent spin-echo-type echo planar diffusion-weighted MRI of the head and neck with b-values of 0 mm(2) s(-1), 500 mm(2) s(-1) and 1000 mm(2) s(-1). The ADC maps were reconstructed and the ADC value of the masticator space lesion was calculated.
resultsThe mean (± standard deviation) ADC value of masticator space malignancy (0.91 ± 0.21 × 10(-3) mm(2) s(-1)) was significantly lower (p = 0.001) than that of masticator space infection (1.59 ± 0.32 × 10(-3) mm(2) s(-1)). When an ADC value of 1.20 × 10(-3) mm(2) s(-1) was used as a threshold value for differentiating masticator space malignancy from infection, the best result was obtained with an accuracy of 88%, sensitivity of 88%, specificity of 87%, negative predictive value of 94%, positive predictive value of 86% and area under the curve of 0.92. There was a significant difference in the ADC value between squamous cell carcinoma and soft tissue sarcoma (p = 0.001), as well as between bacterial and fungal infection of the masticator space (p = 0.001).
conclusionWe concluded that ADC value is a non-invasive promising imaging parameter that can be used for differentiation of masticator space malignancy from infection.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.