ReviewDiagnostic and interventional radiology (Ankara, Turkey)2025
New imaging techniques and trends in radiology.
Review in Diagnostic and interventional radiology (Ankara, Turkey), 2025. 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.
- Cardiac Magnetic Resonance Findings and NT-proBNP in Heart Failure with Reduced Ejection Fraction.Tomography (Ann Arbor, Mich.) · 2026Article
- Significance of the Aponeurotic Expansion of the Supraspinatus Tendon in Rotator Cuff Ruptures: An MR Arthrographic Study.Medicina (Kaunas, Lithuania) · 2026Article
- MRI features of joint capsule-originating hamartomas in a pediatric patient with tuberous sclerosis: a novel case report.Skeletal radiology · 2026Article
- MR arthrographic examination of the association with glenohumeral instability of posterior labroligamentous i̇nsertion types and posterior labrum anatomical variants.BMC musculoskeletal disorders · 2026Article
- The evolving PI-RADS paradigm.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026Review
- Impact of deep learning image reconstruction on ADC quantification and histogram metrics: a phantom study.European radiology experimental · 2026Article
- Current State and Future Directions of Diagnostic Imaging and Interpretation in Pediatric Radiology.Diagnostics (Basel, Switzerland) · 2026Article
- Advances in AI-based diagnosis of Alzheimer's disease using MRI: a comprehensive survey.Frontiers in medicine · 2026Review
- A detailed 3D volumetric magnetic resonance arthrographic analysis in a spiral ligament and anteroinferior capsuloligamentous complex of the shoulder joint.Skeletal radiology · 2025Article
- MR arthrographic analysis of labral and tendinous lesions in patients with shoulder avulsion injury.BMC musculoskeletal disorders · 2025Article
- Emergency radiology: roadmap for radiology departments.Japanese journal of radiology · 2025Review
- Comparison of Radiographic Stress Views in Detecting Scapholunate Ligament Injuries: A Cadaveric Model Study.Journal of clinical medicine · 2025Article
- Article
- Radiation Dose Reduction in Cancer Imaging with New-Model CT Scanners: A Quality of Care Evaluation.Cancers · 2025Article
- Incidental Calcifications of Carotid and Vertebral Arteries: Frequency and Associations in Pediatric Population.Diagnostics (Basel, Switzerland) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Radiography is a field of medicine inherently intertwined with technology. The dependency on technology is very high for obtaining images in ultrasound (US), computed tomography (CT), and magnetic resonance imaging (MRI). Although the reduction in radiation dose is not applicable in US and MRI, advancements in technology have made it possible in CT, with ongoing studies aimed at further optimization. The resolution and diagnostic quality of images obtained through advancements in each modality are steadily improving. Additionally, technological progress has significantly shortened acquisition times for CT and MRI. The use of artificial intelligence (AI), which is becoming increasingly widespread worldwide, has also been incorporated into radiography. This technology can produce more accurate and reproducible results in US examinations. Machine learning offers great potential for improving image quality, creating more distinct and useful images, and even developing new US imaging modalities. Furthermore, AI technologies are increasingly prevalent in CT and MRI for image evaluation, image generation, and enhanced image quality.
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.