Evidence map›Paper›PMID 40115420›Full record

ReviewFrontiers in radiology2025

The advancement and utility of multimodal imaging in the diagnosis of degenerative disc disease.

Eric M Teichner, Robert C Subtirelu, Connor R Crutchfield, Chitra Parikh, Arjun Ashok, Sahithi Talasila, Victoria Anderson, Milan Patel, Sricharvi Mannam, Andrew Lee and 4 more

Abstract readReview
In one paragraph

Review in Frontiers in radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

14 authors.

Eric M Teichner *Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, United States.
Robert C Subtirelu *Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, United States.
Connor R CrutchfieldSidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, United States.
Chitra ParikhSidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, United States.
Arjun AshokSidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, United States.
Sahithi TalasilaSidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, United States.
Victoria AndersonSidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, United States.
Milan PatelDepartment of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, United States.
Sricharvi MannamDepartment of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, United States.
Andrew LeeDepartment of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, United States.
Thomas WernerDepartment of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, United States.
William Y RaynorDepartment of Radiology, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, United States.
Abass AlaviDepartment of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, United States.
Mona-Elisabeth RevheimThe Intervention Center, Division of Technology and Innovation, Oslo University Hospital, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Degenerative disc disease (DDD) is a common spinal condition characterized by the deterioration of intervertebral discs, leading to chronic back pain and reduced mobility. While magnetic resonance imaging (MRI) has long been the standard for late-stage DDD diagnosis, its limitations in early-stage detection prompt the exploration of advanced imaging methods. Positron emission tomography/computed tomography (PET/CT) using

Indexed as

artificial intelligence (AI)degenerative disc disease (DDD)early diagnosisimaging technologiesmagnetic resonance imaging (MRI)pathophysiologypositron emission tomography/computed tomography (PET/CT)treatment strategies

Identifiers

PMID40115420
PMCPMC11922948

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.