Evidence map›Paper›PMID 37256494›Full record

ArticleBrain imaging and behavior2023

Brain gray matter reduction and premature brain aging after breast cancer chemotherapy: a longitudinal multicenter data pooling analysis.

Michiel B de Ruiter, Rachael L Deardorff, Jeroen Blommaert, Bihong T Chen, Julie A Dumas, Sanne B Schagen, Stefan Sunaert, Lei Wang, Bernadine Cimprich, Scott Peltier and 7 more

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Brain imaging and behavior, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

13 citing papers in PubMed, 23 citations in OpenAlex.

  1. Trial
  2. Reduced expression of N-methyl-D-aspartate receptor and calcium signaling genes in gray matter is associated with cancer-related cognitive impairment.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  3. Article
  4. Review
  5. Applications of machine learning and natural language processing to neurocognitive outcomes in posttreatment cancer survivors: a scoping review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  6. Review
  7. Article
  8. MRI Voxel Morphometry Shows Brain Volume Changes in Breast Cancer Survivors: Implications for Treatment.Pathophysiology : the official journal of the International Society for Pathophysiology · 2025
    Article
  9. Article
  10. Seeing through "brain fog": neuroimaging assessment and imaging biomarkers for cancer-related cognitive impairments.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Review
  11. Article
  12. Article
  13. 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

17 authors at 10 institutions in 3 countries.

Michiel B de RuiterPsychosocial Research and Epidemiology, Netherlands Cancer Institute, Amsterdam, Netherlands.
Rachael L DeardorffCenter for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University Melvin and Bren Simon Comprehensive Cancer Center, and Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, USA.
Jeroen BlommaertDepartment of Oncology, KU Leuven, Leuven, Belgium and Research Foundation Flanders (FWO), Brussels, Belgium.
Bihong T ChenCity of Hope National Medical Center, Duarte, CA, USA.
Julie A DumasUniversity of Vermont, Burlington, VT, USA.
Sanne B SchagenPsychosocial Research and Epidemiology, Netherlands Cancer Institute, Amsterdam, Netherlands.
Stefan SunaertDepartment of Imaging and Pathology, KU Leuven, Leuven, Belgium.
Lei WangWexner Medical Center, Ohio State University, Columbus, OH, USA.
Bernadine CimprichUniversity of Michigan, Ann Arbor, MI, USA.
Scott PeltierUniversity of Michigan, Ann Arbor, MI, USA.
Kim DittusUniversity of Vermont Cancer Center, University of Vermont, Burlington, VT, USA.
Paul A NewhouseCenter for Cognitive Medicine, Vanderbilt University Medical Center and Geriatric Research Educational and Clinical Center, Tennessee Valley VA Health System, Nashville, TN, USA.
Daniel H SilvermanUniversity of California, Los Angeles, Los Angeles, CA, USA.
Gwen SchroyenDepartment of Imaging and Pathology, KU Leuven, Leuven, Belgium.
Sabine DeprezDepartment of Imaging and Pathology, KU Leuven, Leuven, Belgium.
Andrew J SaykinCenter for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University Melvin and Bren Simon Comprehensive Cancer Center, and Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, USA.
Brenna C McDonaldCenter for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University Melvin and Bren Simon Comprehensive Cancer Center, and Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, USA. mcdonalb@iupui.edu.
KU Leuven · BEIndiana University – Purdue University Indianapolis · USThe Netherlands Cancer Institute · NLUniversity of Michigan–Ann Arbor · USUniversity of Vermont · USCity Of Hope National Medical Center · USIndiana University School of MedicineThe Ohio State University Wexner Medical Center · USUniversity of California, Los Angeles · USVanderbilt University Medical Center · US

Funding

Neural Mechanisms of Chemotherapy-Induced Cognitive DisorderR01CA101318 · NCI · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI SAYKIN, ANDREW J · 2003 to 2007
$2.0M
Altered Brain Function in Chemotherapy for Breast CancerR01NR010939 · NINR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CIMPRICH, BERNADINE E. · 2008 to 2011
$1.7M
Structural and functional brain magnetic resonance imaging findings of chemotheraR03AG045090 · NIA · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI CHEN, BIHONG T · 2013 to 2014
$168k
NCI NIH HHS R01 CA101318NIA NIH HHS R03 AG045090NIH HHS R01 CA101318NIH HHS R01 NR010939NIH HHS R03 AG045090NINR NIH HHS R01 NR010939
6 · The paper itself

Abstract

Brain gray matter (GM) reductions have been reported after breast cancer chemotherapy, typically in small and/or cross-sectional cohorts, most commonly using voxel-based morphometry (VBM). There has been little examination of approaches such as deformation-based morphometry (DBM), machine-learning-based brain aging metrics, or the relationship of clinical and demographic risk factors to GM reduction. This international data pooling study begins to address these questions. Participants included breast cancer patients treated with (CT+, n = 183) and without (CT-, n = 155) chemotherapy and noncancer controls (NC, n = 145), scanned pre- and post-chemotherapy or comparable intervals. VBM and DBM examined GM volume. Estimated brain aging was compared to chronological aging. Correlation analyses examined associations between VBM, DBM, and brain age, and between neuroimaging outcomes, baseline age, and time since chemotherapy completion. CT+ showed longitudinal GM volume reductions, primarily in frontal regions, with a broader spatial extent on DBM than VBM. CT- showed smaller clusters of GM reduction using both methods. Predicted brain aging was significantly greater in CT+ than NC, and older baseline age correlated with greater brain aging. Time since chemotherapy negatively correlated with brain aging and annual GM loss. This large-scale data pooling analysis confirmed findings of frontal lobe GM reduction after breast cancer chemotherapy. Milder changes were evident in patients not receiving chemotherapy. CT+ also demonstrated premature brain aging relative to NC, particularly at older age, but showed evidence for at least partial GM recovery over time. When validated in future studies, such knowledge could assist in weighing the risks and benefits of treatment strategies.

Indexed as

Breast NeoplasmsGray MatterAgingBrainCross-Sectional StudiesFemaleHumansMagnetic Resonance ImagingBrain agingBreast cancerChemotherapyGray matterMagnetic resonance imaging (MRI)

Identifiers

PMID37256494
PMCPMC10652222
OpenAlexW4378782789

What OpenQuestion holds

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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.