Evidence map›Paper›PMID 33937788›Full record

ArticleRadiology. Artificial intelligence2019

Quantitative Analysis of Neural Foramina in the Lumbar Spine: An Imaging Informatics and Machine Learning Study.

Bilwaj Gaonkar, Joel Beckett, Diane Villaroman, Christine Ahn, Matthew Edwards, Steven Moran, Mark Attiah, Diana Babayan, Christopher Ames, J Pablo Villablanca and 3 more

Open access · greenAbstract read
In one paragraph

Article in Radiology. Artificial intelligence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 23% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

13 authors at 1 institution in 1 country.

Bilwaj GaonkarDepartments of Neurosurgery (B.G., J.B., D.V., C. Ahn, M.E., M.A., D.B., L.M.), Radiological Sciences (J.P.V., N.S., A.B.), and Electrical Engineering (S.M.), University of California, Los Angeles, 300 Stein Plaza, Suite 554E, Los Angeles, CA 90095; and Department of Neurosurgery, University of California, San Francisco, San Francisco, Calif (C. Ames).ORCID 0000-0001-8827-8063
Joel BeckettDepartments of Neurosurgery (B.G., J.B., D.V., C. Ahn, M.E., M.A., D.B., L.M.), Radiological Sciences (J.P.V., N.S., A.B.), and Electrical Engineering (S.M.), University of California, Los Angeles, 300 Stein Plaza, Suite 554E, Los Angeles, CA 90095; and Department of Neurosurgery, University of California, San Francisco, San Francisco, Calif (C. Ames).
Diane VillaromanDepartments of Neurosurgery (B.G., J.B., D.V., C. Ahn, M.E., M.A., D.B., L.M.), Radiological Sciences (J.P.V., N.S., A.B.), and Electrical Engineering (S.M.), University of California, Los Angeles, 300 Stein Plaza, Suite 554E, Los Angeles, CA 90095; and Department of Neurosurgery, University of California, San Francisco, San Francisco, Calif (C. Ames).ORCID 0000-0003-1475-1238
Christine AhnDepartments of Neurosurgery (B.G., J.B., D.V., C. Ahn, M.E., M.A., D.B., L.M.), Radiological Sciences (J.P.V., N.S., A.B.), and Electrical Engineering (S.M.), University of California, Los Angeles, 300 Stein Plaza, Suite 554E, Los Angeles, CA 90095; and Department of Neurosurgery, University of California, San Francisco, San Francisco, Calif (C. Ames).
Matthew EdwardsDepartments of Neurosurgery (B.G., J.B., D.V., C. Ahn, M.E., M.A., D.B., L.M.), Radiological Sciences (J.P.V., N.S., A.B.), and Electrical Engineering (S.M.), University of California, Los Angeles, 300 Stein Plaza, Suite 554E, Los Angeles, CA 90095; and Department of Neurosurgery, University of California, San Francisco, San Francisco, Calif (C. Ames).ORCID 0000-0002-0846-0146
Steven MoranDepartments of Neurosurgery (B.G., J.B., D.V., C. Ahn, M.E., M.A., D.B., L.M.), Radiological Sciences (J.P.V., N.S., A.B.), and Electrical Engineering (S.M.), University of California, Los Angeles, 300 Stein Plaza, Suite 554E, Los Angeles, CA 90095; and Department of Neurosurgery, University of California, San Francisco, San Francisco, Calif (C. Ames).ORCID 0000-0001-7914-5525
Mark AttiahDepartments of Neurosurgery (B.G., J.B., D.V., C. Ahn, M.E., M.A., D.B., L.M.), Radiological Sciences (J.P.V., N.S., A.B.), and Electrical Engineering (S.M.), University of California, Los Angeles, 300 Stein Plaza, Suite 554E, Los Angeles, CA 90095; and Department of Neurosurgery, University of California, San Francisco, San Francisco, Calif (C. Ames).ORCID 0000-0001-8609-7883
Diana BabayanDepartments of Neurosurgery (B.G., J.B., D.V., C. Ahn, M.E., M.A., D.B., L.M.), Radiological Sciences (J.P.V., N.S., A.B.), and Electrical Engineering (S.M.), University of California, Los Angeles, 300 Stein Plaza, Suite 554E, Los Angeles, CA 90095; and Department of Neurosurgery, University of California, San Francisco, San Francisco, Calif (C. Ames).
Christopher AmesDepartments of Neurosurgery (B.G., J.B., D.V., C. Ahn, M.E., M.A., D.B., L.M.), Radiological Sciences (J.P.V., N.S., A.B.), and Electrical Engineering (S.M.), University of California, Los Angeles, 300 Stein Plaza, Suite 554E, Los Angeles, CA 90095; and Department of Neurosurgery, University of California, San Francisco, San Francisco, Calif (C. Ames).
J Pablo VillablancaDepartments of Neurosurgery (B.G., J.B., D.V., C. Ahn, M.E., M.A., D.B., L.M.), Radiological Sciences (J.P.V., N.S., A.B.), and Electrical Engineering (S.M.), University of California, Los Angeles, 300 Stein Plaza, Suite 554E, Los Angeles, CA 90095; and Department of Neurosurgery, University of California, San Francisco, San Francisco, Calif (C. Ames).
Noriko SalamonDepartments of Neurosurgery (B.G., J.B., D.V., C. Ahn, M.E., M.A., D.B., L.M.), Radiological Sciences (J.P.V., N.S., A.B.), and Electrical Engineering (S.M.), University of California, Los Angeles, 300 Stein Plaza, Suite 554E, Los Angeles, CA 90095; and Department of Neurosurgery, University of California, San Francisco, San Francisco, Calif (C. Ames).
Alex BuiDepartments of Neurosurgery (B.G., J.B., D.V., C. Ahn, M.E., M.A., D.B., L.M.), Radiological Sciences (J.P.V., N.S., A.B.), and Electrical Engineering (S.M.), University of California, Los Angeles, 300 Stein Plaza, Suite 554E, Los Angeles, CA 90095; and Department of Neurosurgery, University of California, San Francisco, San Francisco, Calif (C. Ames).ORCID 0000-0002-4702-1373
Luke MacyszynDepartments of Neurosurgery (B.G., J.B., D.V., C. Ahn, M.E., M.A., D.B., L.M.), Radiological Sciences (J.P.V., N.S., A.B.), and Electrical Engineering (S.M.), University of California, Los Angeles, 300 Stein Plaza, Suite 554E, Los Angeles, CA 90095; and Department of Neurosurgery, University of California, San Francisco, San Francisco, Calif (C. Ames).
University of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo use machine learning tools and leverage big data informatics to statistically model the variation in the area of lumbar neural foramina in a large asymptomatic population. MATERIALS AND

methodsBy using an electronic health record and imaging archive, lumbar MRI studies in 645 male (mean age, 50.07 years) and 511 female (mean age, 48.23 years) patients between 20 and 80 years old were identified. Machine learning algorithms were used to delineate lumbar neural foramina autonomously and measure their areas. The relationship between neural foraminal area and patient age, sex, and height was studied by using multivariable linear regression.

resultsNeural foraminal areas correlated directly with patient height and inversely with patient age. The associations involved were statistically significant (

conclusionBy using machine learning and big data techniques, a linear model encoding variation in lumbar neural foraminal areas in asymptomatic individuals has been established. This model can be used to make quantitative assessments of neural foraminal areas in patients by comparing them to the age-, sex-, and height-adjusted population averages.© RSNA, 2019

Identifiers

PMID33937788
PMCPMC8017393
OpenAlexW2920064961

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.