Evidence map›Paper›PMID 38349653›Full record

ArticleJAMA network open2024

Age, Motion, Medical, and Psychiatric Associations With Incidental Findings in Brain MRI.

Russell H Tobe, Lucia Tu, Maya Roberts, Gregory Kiar, Melissa M Breland, Yiwen Tian, Minji Kang, Rachel Ross, Margaret M Ryan, Emmanuel Valenza and 5 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.4field-weighted citation impact, top 22% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 5 institutions in 1 country.

Russell H TobeNathan S. Kline Institute for Psychiatric Research, Orangeburg, New York.
Lucia TuNathan S. Kline Institute for Psychiatric Research, Orangeburg, New York.
Maya RobertsCenter for the Developing Brain, Child Mind Institute, New York, New York.
Gregory KiarCenter for Data Analytics, Innovation, and Rigor, Child Mind Institute, New York, New York.
Melissa M BrelandNathan S. Kline Institute for Psychiatric Research, Orangeburg, New York.
Yiwen TianInfervision, Philadelphia, Pennsylvania.
Minji KangCenter for the Developing Brain, Child Mind Institute, New York, New York.
Rachel RossSt John's University, Staten Island, New York.
Margaret M RyanNathan S. Kline Institute for Psychiatric Research, Orangeburg, New York.
Emmanuel ValenzaIcahn School of Medicine at Mount Sinai, New York, New York.
Lindsay AlexanderCenter for the Developing Brain, Child Mind Institute, New York, New York.
Anna MacKay-BrandtNathan S. Kline Institute for Psychiatric Research, Orangeburg, New York.
Stanley J ColcombeNathan S. Kline Institute for Psychiatric Research, Orangeburg, New York.
Alexandre R FrancoNathan S. Kline Institute for Psychiatric Research, Orangeburg, New York.
Michael P MilhamNathan S. Kline Institute for Psychiatric Research, Orangeburg, New York.
Child Mind Institute · USNathan Kline Institute for Psychiatric Research · USIcahn School of Medicine at Mount Sinai · USNew York University · USSt. John's University · US

Funding

Longitudinal Discovery of Brain Developmental TrajectoriesU01MH099059 · NIMH · NATHAN S. KLINE INSTITUTE FOR PSYCH RES · PI MILHAM, MICHAEL PETER · 2013 to 2017
$3.7M
Mapping interindividual variation in the aging connectomeR01AG047596 · NIA · NATHAN S. KLINE INSTITUTE FOR PSYCH RES · PI COLCOMBE, STAN J, MILHAM, MICHAEL PETER · 2015 to 2019
$3.1M
Discovery Science of Human Brain Function Across the LifespanR01MH094639 · NIMH · NATHAN S. KLINE INSTITUTE FOR PSYCH RES · PI MILHAM, MICHAEL PETER · 2011 to 2014
$2.7M
Real-time fMRI Neurofeedback Based Stratification of Default Network RegulationR01MH101555 · NIMH · NATHAN S. KLINE INSTITUTE FOR PSYCH RES · PI CRADDOCK, RICHARD CAMERON · 2013 to 2016
$2.6M
Improving the robustness of neuroimaging through exploitation of variability in processing pipelinesRF1MH130859 · NIMH · CHILD MIND INSTITUTE, INC. · PI KIAR, GREGORY, MILHAM, MICHAEL PETER · 2022 to 2022
$1.5M
NIA NIH HHS R01 AG047596NIMH NIH HHS R01 MH094639NIMH NIH HHS R01 MH101555NIMH NIH HHS RF1 MH130859NIMH NIH HHS U01 MH099059
6 · The paper itself

Abstract

Importance: Few investigations have evaluated rates of brain-based magnetic resonance imaging (MRI) incidental findings (IFs) in large lifespan samples, their stability over time, or their associations with health outcomes. Objectives: To examine rates of brain-based IFs across the lifespan, their persistence, and their associations with phenotypic indicators of behavior, cognition, and health; to compare quantified motion with radiologist-reported motion and evaluate its associations with IF rates; and to explore IF consistency across multiple visits. Design, Setting, and Participants: This cross-sectional study included participants from the Nathan Kline Institute-Rockland Sample (NKI-RS), a lifespan community-ascertained sample, and the Healthy Brain Network (HBN), a cross-sectional community self-referred pediatric sample focused on mental health and learning disorders. The NKI-RS enrolled participants (ages 6-85 years) between March 2012 and March 2020 and had longitudinal participants followed up for as long as 4 years. The HBN enrolled participants (ages 5-21 years) between August 2015 and October 2021. Clinical neuroradiology MRI reports were coded for radiologist-reported motion as well as presence, type, and clinical urgency (category 1, no abnormal findings; 2, no referral recommended; 3, consider referral; and 4, immediate referral) of IFs. MRI reports were coded from June to October 2021. Data were analyzed from November 2021 to February 2023. Main Outcomes and Measures: Rates and type of IFs by demographic characteristics, health phenotyping, and motion artifacts; longitudinal stability of IFs; and Euler number in projecting radiologist-reported motion. Results: A total of 1300 NKI-RS participants (781 [60.1%] female; mean [SD] age, 38.9 [21.8] years) and 2772 HBN participants (976 [35.2%] female; mean [SD] age, 10.0 [3.5] years) had health phenotyping and neuroradiology-reviewed MRI scans. IFs were common, with 284 of 2956 children (9.6%) and 608 of 1107 adults (54.9%) having IFs, but rarely of clinical concern (category 1: NKI-RS, 619 [47.6%]; HBN, 2561 [92.4%]; category 2: NKI-RS, 647 [49.8%]; HBN, 178 [6.4%]; category 3: NKI-RS, 79 [6.1%]; HBN, 30 [1.1%]; category 4: NKI-RS: 12 [0.9%]; HBN, 6 [0.2%]). Overall, 46 children (1.6%) and 79 adults (7.1%) required referral for their IFs. IF frequency increased with age. Elevated blood pressure and BMI were associated with increased T2 hyperintensities and age-related cortical atrophy. Radiologist-reported motion aligned with Euler-quantified motion, but neither were associated with IF rates. Conclusions and Relevance: In this cross-sectional study, IFs were common, particularly with increasing age, although rarely clinically significant. While T2 hyperintensity and age-related cortical atrophy were associated with BMI and blood pressure, IFs were not associated with other behavioral, cognitive, and health phenotyping. Motion may not limit clinical IF detection.

Indexed as

BrainIncidental FindingsAdultAtrophyChildCross-Sectional StudiesFemaleHumansMagnetic Resonance ImagingMale

Identifiers

PMID38349653
PMCPMC10865144
OpenAlexW4391786938

What OpenQuestion holds

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Registered trials

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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.