ReviewLa Radiologia medica2021
Differential imaging of atypical demyelinating lesions of the central nervous system.
Review in La Radiologia medica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed.
- Quantitative MRI in Neuroimaging: A Review of Techniques, Biomarkers, and Emerging Clinical Applications.Brain sciences · 2025Review
- Tumour mimics in paediatric neuroimaging.Neuroradiology · 2025Review
- Article
- Aseptic Meningitis and White Matter Disease in Childhood-Onset Neuropsychiatric Lupus.Case reports in rheumatology · 2024Article
- Prognostic Assessment of Gastropancreatic Neuroendocrine Neoplasm: Prospects and Limits of Radiomics.Diagnostics (Basel, Switzerland) · 2023Review
- Imaging of metabolic and overload disorders in tissues and organs.Japanese journal of radiology · 2023Review
- Multiple sclerosis with megacystic presentation: A case report.Radiology case reports · 2023Article
- Gender Medicine in Clinical Radiology Practice.Journal of personalized medicine · 2023Review
- Radiomics in Lung Metastases: A Systematic Review.Journal of personalized medicine · 2023Review
- The value of convolutional neural networks-based deep learning model in differential diagnosis of space-occupying brain diseases.Frontiers in neurology · 2023Article
- A Narrative Review on LI-RADS Algorithm in Liver Tumors: Prospects and Pitfalls.Diagnostics (Basel, Switzerland) · 2022Review
- Diffusion weighted imaging and diffusion kurtosis imaging in abdominal oncological setting: why and when.Infectious agents and cancer · 2022Review
- Conventional, functional and radiomics assessment for intrahepatic cholangiocarcinoma.Infectious agents and cancer · 2022Article
- Diagnostic evaluation and ablation treatments assessment in hepatocellular carcinoma.Infectious agents and cancer · 2021Review
- Radiomics in hepatic metastasis by colorectal cancer.Infectious agents and cancer · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The detection of atypical and sometimes aggressive or tumefactive demyelinating lesions of the central nervous system often poses difficulties in the differential diagnosis. The clinical presentation is generally aspecific, related to the location and similar to a number of different lesions, including neoplasms and other intracranial lesions with mass effect. CSF analysis may also be inconclusive, especially for lesions presenting as a single mass at onset. As a consequence, a brain biopsy is frequently performed for characterization. Advanced MRI imaging plays an important role in directing the diagnosis, reducing the rate of unnecessary biopsies and allowing a prompt start of therapy that is often crucial, especially in the case of infratentorial lesions. In this review, the main pattern of presentation of atypical inflammatory demyelinating diseases is discussed, with particular attention on the differential diagnosis and how to adequately define the correct etiology.
Indexed as
Identifiers
33486703What 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.