ArticleClinical neuroradiology2014
Orbital masses: the usefulness of diffusion-weighted imaging in lesion categorization.
Article in Clinical neuroradiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed.
- Ocular adnexal lymphomas: A comprehensive review with emphasis on histopathologic and magnetic resonance imaging appearance.Histology and histopathology · 2026Review
- Equity and Generalizability of Radiomics in Orbital Disease: Challenges for Ophthalmology, Otolaryngology, and Plastic Surgery.Diagnostics (Basel, Switzerland) · 2026Review
- Clinicoradiologic differences between orbital schwannoma and cavernous venous malformation: a retrospective comparative case series.Scientific reports · 2025Article
- Clinical and imaging clues to the diagnosis and follow-up of ptosis and ophthalmoparesis.Journal of cachexia, sarcopenia and muscle · 2022Review
- Reproducibility and feasibility of optic nerve diffusion MRI techniques: single-shot echo-planar imaging (EPI), readout-segmented EPI, and reduced field-of-view diffusion-weighted imaging.BMC medical imaging · 2022Article
- Idiopathic Orbital Myositis Revisited.Current rheumatology reports · 2022Review
- Turbo Gradient and Spin Echo PROPELLER-Diffusion Weighted Imaging for Orbital Tumors: A Comparative Study With Readout-Segmented Echo-Planar Imaging.Frontiers in neuroscience · 2021Article
- Role of Quantitative Diffusion-Weighted Imaging in Differentiating Benign and Malignant Orbital Masses.The Indian journal of radiology & imaging · 2021Article
- Intravoxel incoherent motion (IVIM) 3 T MRI for orbital lesion characterization.European radiology · 2021Article
- Quantitative characterization of extraocular orbital lesions in children using diffusion-weighted imaging.Pediatric radiology · 2021Article
- MRI of Pediatric Orbital Masses: Role of Quantitative Diffusion-weighted Imaging in Differentiating Benign from Malignant Lesions.Clinical neuroradiology · 2020Article
- MR-based radiomics signature in differentiating ocular adnexal lymphoma from idiopathic orbital inflammation.European radiology · 2018Article
- Differentiation of orbital lymphoma and idiopathic orbital inflammatory pseudotumor: combined diagnostic value of conventional MRI and histogram analysis of ADC maps.BMC medical imaging · 2018Article
- Orbital malignant lesions in adults: multiparametric MR imaging.Japanese journal of radiology · 2017Article
- Role of diffusion-weighted imaging in head and neck lesions: Pictorial review.The neuroradiology journal · 2017Review
- "Orbiting around" the orbital myositis: clinical features, differential diagnosis and therapy.Journal of neurology · 2016Review
- Orbital tumours and tumour-like lesions: exploring the armamentarium of multiparametric imaging.Insights into imaging · 2016Article
- Optimized imaging of the midface and orbits.GMS current topics in otorhinolaryngology, head and neck surgery · 2015Review
- Modern techniques of magnetic resonance in the evaluation of primary central nervous system lymphoma: contributions to the diagnosis and differential diagnosis.Revista brasileira de hematologia e hemoterapiaArticle
- Radiopathological Correlation in Orbital Lesions.Middle East African journal of ophthalmologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionDiffusion-weighted imaging (DWI) produces contrast among different kinds of tissues according to their diffusibility characteristics. The purpose of our study was to evaluate the role of DWI including measurement of apparent diffusion coefficient (ADC) values in recognizing benignancy or malignancy of orbital masses.
methodsA total of 39 orbital masses were evaluated visually for signal characteristics on DWI and ADC maps. ADC values were calculated for each lesion. Visual signal characteristics were compared using the Fisher exact test. Receiver operating characteristic (ROC) analysis was carried out to determine sensitivity and specificity for distinguishing malignant from benign lesions using ADC values. The Mann-Whitney U test was applied to compare the ADC values between orbital lymphomas and idiopathic orbital inflammatory (IOI) lesions, and between optic nerve sheath meningiomas and gliomas.
resultsVisual assessment revealed no significant difference between benign and malignant lesions on DWI (p-value = 0.66). However, visual assessment of ADC maps revealed a statistically significant (p-value ≤ 0.0001) between benign and malignant lesions. ROC analysis showed a sensitivity of 83.33 % and a specificity of 85.71 % when using an optimal cut off ADC value of 0.84 × 10(-3) mm(2)/s for differentiating malignant from benign lesions. Significant differences in mean ADC values were observed between lymphomas and IOI lesions (p-value = 0.05), and between optic nerve sheath meningiomas and gliomas (p-value = 0.03).
conclusionDWI is useful for differentiating malignant and benign orbital tumors if accompanied by visual assessment of ADC maps and ADC value calculations.
Indexed as
Identifiers
23846020What 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.