Evidence map›Paper›PMID 37193607›Full record

ArticleInternational journal of spine surgery2023

Radiomics in Spine Surgery.

Daniel Alsoof, Christopher L McDonald, Wesley M Durand, Bassel G Diebo, Eren O Kuris, Alan H Daniels

Abstract read
In one paragraph

Article in International journal of spine surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Radiomics and Back Pain.Global spine journal · 2026
    Review
  2. Article
  3. Article
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

6 authors.

Daniel AlsoofDepartment of Orthopedic Surgery, Alpert Medical School of Brown University, Providence, RI, USA.
Christopher L McDonaldDepartment of Orthopedic Surgery, Alpert Medical School of Brown University, Providence, RI, USA.
Wesley M DurandDepartment of Orthopedic Surgery, Johns Hopkins, Baltimore, MA, USA.
Bassel G DieboDepartment of Orthopedic Surgery, Alpert Medical School of Brown University, Providence, RI, USA.
Eren O KurisDepartment of Orthopedic Surgery, Alpert Medical School of Brown University, Providence, RI, USA.
Alan H DanielsDepartment of Orthopedic Surgery, Alpert Medical School of Brown University, Providence, RI, USA alan_daniels@brown.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radiomics is an emerging approach to analyze clinical images with the purpose of revealing quantitative features that are unvisible to the naked eye. Radiomic features can be further combined with clinical data and genomic information to formulate prediction models using machine learning algorithms or manual statistical analysis. While radiomics has been classically applied to tumor analysis, there is promising research in its application to spine surgery, including spinal deformity, oncology, and osteoporosis detection. This article reviews the fundamental principles of radiomic analysis, the current literature relating to the spine, and the limitations of this approach.

Indexed as

artificial intelligencemachine learningradiomicsspine

Identifiers

PMID37193607
PMCPMC10318908

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.