Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 417

The DOI matches its Crossref record.

Normal age-related patterns of cellular and fatty bone marrow distribution in the axial skeleton: MR imaging study.

Ricci, C, Cova, M, Kang, Y S, Yang, A, Rahmouni, A, Scott, W W, Zerhouni, E A·1990·Radiology

Abstract

Knowledge of age-related distribution patterns of cellular and fatty marrow is critical to the interpretation of magnetic resonance (MR) imaging studies. To determine such patterns, the authors retrospectively evaluated 70 examinations each of the skull, cervical spine, thoracic spine, lumbar spine, pelvis, and proximal femur (420 examinations) in patients without known bone marrow abnormality who ranged in age from 6 months to older than 70 years. Two to four distinct patterns were identified in each anatomic area on spin-echo images obtained with a short repetition time and a short echo time. The relative frequency of the patterns for different age groups is consistent with the known physiologic conversion from cellular to fatty marrow with advancing age. Knowledge of these patterns should help in the interpretation of MR images of the axial skeleton.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1148/radiology.177.1.2399343

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 417

Metadata

Authors
Ricci, C., Cova, M., Kang, Y. S., Yang, A., Rahmouni, A., Scott, W. W., & Zerhouni, E. A.
Venue
Radiology
Published
1990-10
Volume
177
Issue
1
Pages
83-88
ISSN
  • 0033-8419 (ISSN-L)
  • 1527-1315
OpenAlex
W2116637027
Cited by
417
References
0
FWCI
10.71
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Normal age-related patterns of cellular and fatty bone marrow distribution in the axial skeleton: MR imaging study. https://app.cochat.ai/papers/10.1148/radiology.177.1.2399343
The paper
Ricci, C., Cova, M., Kang, Y. S., Yang, A., Rahmouni, A., Scott, W. W., & Zerhouni, E. A. (1990). Normal age-related patterns of cellular and fatty bone marrow distribution in the axial skeleton: MR imaging study. Radiology. https://doi.org/10.1148/radiology.177.1.2399343

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.