ArticleScientific reports2019
Whole-Volume ADC Histogram Analysis in Parotid Glands to Identify Patients with Sjögren's Syndrome.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Quantitative evaluation of parotid gland dysfunction in patients with hyposalivation using magnetic resonance imaging mapping technique : Quantification of Parotid gland function using MRI.BMC oral health · 2025Article
- The value of MRI-based radiomics for evaluating early parotid gland injury in primary Sjögren's syndrome.Clinical rheumatology · 2024Article
- Textural Analysis of Magnetic Resonance Images as an Additional Evaluation Tool of Parotid Glands in Sjögren-Primarily Findings.Biomedicines · 2023Article
- Development of an improved diagnostic nomogram for preoperative prediction of small cell neuroendocrine cancer of the cervix.The British journal of radiology · 2022Article
- Radiological imaging features of the salivary glands in xerostomia induced by an immune checkpoint inhibitor.Oral radiology · 2021Article
- Article
- Machine Learning Models on ADC Features to Assess Brain Changes of Children With Pierre Robin Sequence.Frontiers in neurology · 2021Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
At present, no gold standard for diagnosing Sjögren's syndrome (SS) is available in clinical practice. The 2002 American-European Consensus Group classification criteria are used to diagnose SS. Clinically, it is challenging to distinguish patients with SS from suspected patients undergoing different therapies. A total of 52 patients with SS and 24 patients suspected of having the disease prospectively underwent 3.0-T magnetic resonance (MR) scanning, including diffusion-weighted imaging (b = 0 and 1000 s/mm
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