Evidence map›Paper›PMID 42704389›Full record

ArticleRadiologie (Heidelberg, Germany)2026

Predictive value of the T1-weighted signal ratio between the lumbar vertebrae and the psoas muscle in iron-deficiency anemia.

Safa Özyılmaz, Fatma Kulalı

Abstract read
PubMed Publisher
In one paragraph

Article in Radiologie (Heidelberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Safa ÖzyılmazUmraniye Training and Research Hospital, Department of Radiology, University of Health Sciences, Istanbul, Turkey. safaozyilmaz@gmail.com.ORCID https://orcid.org/0009-0002-2041-1037
Fatma KulalıUmraniye Training and Research Hospital, Department of Radiology, University of Health Sciences, Istanbul, Turkey.ORCID https://orcid.org/0000-0002-9392-6907

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBone marrow reconversion is a physiological response to increased hematopoietic demand and is common in chronic anemia. Magnetic resonance imaging (MRI) enables noninvasive assessment of marrow composition; however, visual evaluation remains subjective. Because the psoas signal is largely unaffected by hematologic status, it can serve as a stable internal reference.

objectivesTo quantify lumbar vertebral marrow signal alterations in women with iron deficiency anemia (IDA) and evaluate the diagnostic performance of the T1-weighted signal ratio between the lumbar vertebrae and the psoas muscle as a predictor of anemia. MATERIALS AND

methodsThis retrospective study analyzed lumbar spine MRIs and laboratory data of 141 women (83 IDA, 58 controls). On sagittal T1-weighted images, circular regions of interest were placed in the L1 vertebral body and adjacent psoas muscle to calculate the vertebra/psoas signal ratio. Group comparisons, correlation, and receiver operating characteristic (ROC) analysis with 95% confidence intervals were performed.

resultsThe mean vertebra/psoas ratio was significantly lower in IDA (1.63 ± 0.34) than in controls (2.19 ± 0.71; p < 0.001). Hemoglobin levels correlated positively with the ratio (β = 0.11; R

conclusionThe lumbar vertebra/psoas T1-weighted signal ratio is significantly reduced in IDA and correlates with hemoglobin levels. It represents a simple and reproducible quantitative MRI biomarker that may aid in the screening and diagnostic evaluation of anemia on routine spine imaging.

Indexed as

Bone marrowHematopoiesisMagnetic resonance imagingMarrow reconversionSignal intensity

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.