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Age, Motion, Medical, and Psychiatric Associations With Incidental Findings in Brain MRI.
Tobe, Russell H; Tu, Lucia; Roberts, Maya; Kiar, Gregory; Breland, Melissa M; Tian, Yiwen; Kang, Minji; Ross, Rachel; Ryan, Margaret M; Valenza, Emmanuel; Alexander, Lindsay; MacKay-Brandt, Anna; Colcombe, Stanley J; Franco, Alexandre R; Milham, Michael P.
Affiliation
  • Tobe RH; Nathan S. Kline Institute for Psychiatric Research, Orangeburg, New York.
  • Tu L; Center for the Developing Brain, Child Mind Institute, New York, New York.
  • Roberts M; Nathan S. Kline Institute for Psychiatric Research, Orangeburg, New York.
  • Kiar G; Center for the Developing Brain, Child Mind Institute, New York, New York.
  • Breland MM; Center for Data Analytics, Innovation, and Rigor, Child Mind Institute, New York, New York.
  • Tian Y; Nathan S. Kline Institute for Psychiatric Research, Orangeburg, New York.
  • Kang M; Infervision, Philadelphia, Pennsylvania.
  • Ross R; Center for the Developing Brain, Child Mind Institute, New York, New York.
  • Ryan MM; St John's University, Staten Island, New York.
  • Valenza E; Nathan S. Kline Institute for Psychiatric Research, Orangeburg, New York.
  • Alexander L; Icahn School of Medicine at Mount Sinai, New York, New York.
  • MacKay-Brandt A; Center for the Developing Brain, Child Mind Institute, New York, New York.
  • Colcombe SJ; Nathan S. Kline Institute for Psychiatric Research, Orangeburg, New York.
  • Franco AR; Nathan S. Kline Institute for Psychiatric Research, Orangeburg, New York.
  • Milham MP; Department of Psychiatry, New York University Grossman School of Medicine, New York.
JAMA Netw Open ; 7(2): e2355901, 2024 02 05.
Article in En | MEDLINE | ID: mdl-38349653
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain / Incidental Findings Type of study: Diagnostic_studies / Observational_studies / Prevalence_studies / Risk_factors_studies Limits: Adult / Child / Female / Humans / Male Language: En Journal: JAMA Netw Open Year: 2024 Document type: Article Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain / Incidental Findings Type of study: Diagnostic_studies / Observational_studies / Prevalence_studies / Risk_factors_studies Limits: Adult / Child / Female / Humans / Male Language: En Journal: JAMA Netw Open Year: 2024 Document type: Article Country of publication: United States