ArticleAJNR. American journal of neuroradiology2025
Comparing CT-Like Bone Images Based on Fast Field Echo Resembling a CT Using Restricted Echo Spacing (FRACTURE) MR with CT in Pediatric Congenital Vertebral Anomalies.
Article in AJNR. American journal of neuroradiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Feasibility study of the FRACTURE sequence in evaluating pediatric skull base bone lesions.European radiology · 2026Article
- Diagnostic performance and reader confidence of MRI-derived CT-like images in patients with femoral head necrosis.European radiology experimental · 2026Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeCongenital vertebral anomalies are commonly associated with underlying spinal cord anomaly that necessitates imaging both the spinal cord and the bony vertebral column to understand the extent of the deformity better. While MRI is the standard for spinal cord imaging, it does not provide CT-like bone details. Many MR bone imaging techniques have been tested in various adult spine conditions in the past decade but not much has been described on their reliability in pediatric spine. We elaborate on our experience with fast field echo resembling a CT by using restricted echo spacing (FRACTURE) MR bone imaging in congenital vertebral anomalies in children. MATERIALS AND
methodsEleven pediatric patients referred to the imaging department for CT and MR study of congenital vertebral anomaly were prospectively included. After receiving informed consent from these patients' guardians, both studies were performed in a single setting and under a single sedation. FRACTURE MR was accelerated by using the compressed sensitivity encoding (CS) technique to reduce the imaging time. We then compared FRACTURE MR and CT images for image quality and studied parameters such as formation or segmentation anomalies, anomalous shape of vertebrae, and alignment deformities.
resultsFRACTURE MR showed acceptable image quality with diagnostically limiting artifacts in only 1 patient. The interreader agreement was perfect in the assessment of vertebral body segmentation or formation anomaly and alignment abnormalities, and it was substantial for posterior element anomalies. The bone signal was lower in children under the age of 3 years due to a more immature and cartilaginous skeleton.
conclusionsFRACTURE MR provides images of acceptable quality in pediatric spinal anomalies. The addition of this novel sequence can be complementary to conventional MR in providing osseous details and CT can be reserved for certain specific indications like postoperative cases. This can help in reducing the radiation dose to this group of pediatric patients who will be serially followed up with imaging during their management.
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.