Literature DB >> 29365201

International Cognition and Cancer Task Force Recommendations for Neuroimaging Methods in the Study of Cognitive Impairment in Non-CNS Cancer Patients.

Sabine Deprez1, Shelli R Kesler2, Andrew J Saykin3, Daniel H S Silverman4, Michiel B de Ruiter5, Brenna C McDonald3.   

Abstract

Cancer- and treatment-related cognitive changes have been a focus of increasing research since the early 1980s, with meta-analyses demonstrating poorer performance in cancer patients in cognitive domains including executive functions, processing speed, and memory. To facilitate collaborative efforts, in 2011 the International Cognition and Cancer Task Force (ICCTF) published consensus recommendations for core neuropsychological tests for studies of cancer populations. Over the past decade, studies have used neuroimaging techniques, including structural and functional magnetic resonance imaging (fMRI) and positron emission tomography, to examine the underlying brain basis for cancer- and treatment-related cognitive declines. As yet, however, there have been no consensus recommendations to guide researchers new to this field or to promote the ability to combine data sets. We first discuss important methodological issues with regard to neuroimaging study design, scanner considerations, and sequence selection, focusing on concerns relevant to cancer populations. We propose a minimum recommended set of sequences, including a high-resolution T1-weighted volume and a resting state fMRI scan. Additional advanced imaging sequences are discussed for consideration when feasible, including task-based fMRI and diffusion tensor imaging. Important image data processing and analytic considerations are also reviewed. These recommendations are offered to facilitate increased use of neuroimaging in studies of cancer- and treatment-related cognitive dysfunction. They are not intended to discourage investigator-initiated efforts to develop cutting-edge techniques, which will be helpful in advancing the state of the knowledge. Use of common imaging protocols will facilitate multicenter and data-pooling initiatives, which are needed to address critical mechanistic research questions.

Entities:  

Mesh:

Year:  2018        PMID: 29365201      PMCID: PMC6658857          DOI: 10.1093/jnci/djx285

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  131 in total

1.  Modeling geometric deformations in EPI time series.

Authors:  J L Andersson; C Hutton; J Ashburner; R Turner; K Friston
Journal:  Neuroimage       Date:  2001-05       Impact factor: 6.556

Review 2.  Voxel-based morphometry--the methods.

Authors:  J Ashburner; K J Friston
Journal:  Neuroimage       Date:  2000-06       Impact factor: 6.556

3.  Why voxel-based morphometry should be used.

Authors:  J Ashburner; K J Friston
Journal:  Neuroimage       Date:  2001-12       Impact factor: 6.556

4.  Nonparametric permutation tests for functional neuroimaging: a primer with examples.

Authors:  Thomas E Nichols; Andrew P Holmes
Journal:  Hum Brain Mapp       Date:  2002-01       Impact factor: 5.038

5.  Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain.

Authors:  Bruce Fischl; David H Salat; Evelina Busa; Marilyn Albert; Megan Dieterich; Christian Haselgrove; Andre van der Kouwe; Ron Killiany; David Kennedy; Shuna Klaveness; Albert Montillo; Nikos Makris; Bruce Rosen; Anders M Dale
Journal:  Neuron       Date:  2002-01-31       Impact factor: 17.173

6.  Thresholding of statistical maps in functional neuroimaging using the false discovery rate.

Authors:  Christopher R Genovese; Nicole A Lazar; Thomas Nichols
Journal:  Neuroimage       Date:  2002-04       Impact factor: 6.556

Review 7.  Controlling the familywise error rate in functional neuroimaging: a comparative review.

Authors:  Thomas Nichols; Satoru Hayasaka
Journal:  Stat Methods Med Res       Date:  2003-10       Impact factor: 3.021

8.  A voxel-based morphometric study of ageing in 465 normal adult human brains.

Authors:  C D Good; I S Johnsrude; J Ashburner; R N Henson; K J Friston; R S Frackowiak
Journal:  Neuroimage       Date:  2001-07       Impact factor: 6.556

9.  Measuring the thickness of the human cerebral cortex from magnetic resonance images.

Authors:  B Fischl; A M Dale
Journal:  Proc Natl Acad Sci U S A       Date:  2000-09-26       Impact factor: 11.205

10.  The relationship of APOE genotype to neuropsychological performance in long-term cancer survivors treated with standard dose chemotherapy.

Authors:  Tim A Ahles; Andrew J Saykin; Walter W Noll; Charlotte T Furstenberg; Stephen Guerin; Bernard Cole; Leila A Mott
Journal:  Psychooncology       Date:  2003-09       Impact factor: 3.894

View more
  30 in total

Review 1.  Cancer-related cognitive impairment: an update on state of the art, detection, and management strategies in cancer survivors.

Authors:  M Lange; F Joly; J Vardy; T Ahles; M Dubois; L Tron; G Winocur; M B De Ruiter; H Castel
Journal:  Ann Oncol       Date:  2019-12-01       Impact factor: 32.976

Review 2.  Genetic Modulation of Neurocognitive Development in Cancer Patients throughout the Lifespan: a Systematic Review.

Authors:  Charlotte Sleurs; Aline Madoe; Lieven Lagae; Sandra Jacobs; Sabine Deprez; Jurgen Lemiere; Anne Uyttebroeck
Journal:  Neuropsychol Rev       Date:  2019-03-30       Impact factor: 7.444

3.  Structural brain alterations following adult non-CNS cancers: a systematic review of the neuroimaging literature.

Authors:  Ali Amidi; Lisa M Wu
Journal:  Acta Oncol       Date:  2019-02-07       Impact factor: 4.089

4.  Predicting Patient Reported Outcomes of Cognitive Function Using Connectome-Based Predictive Modeling in Breast Cancer.

Authors:  Ashley M Henneghan; Chris Gibbons; Rebecca A Harrison; Melissa L Edwards; Vikram Rao; Douglas W Blayney; Oxana Palesh; Shelli R Kesler
Journal:  Brain Topogr       Date:  2019-11-19       Impact factor: 3.020

5.  Cognitive impairment and associations with structural brain networks, endocrine status, and risk genotypes in newly orchiectomized testicular cancer patients.

Authors:  Cecilie R Buskbjerg; Robert Zachariae; Mads Agerbæk; Claus H Gravholt; Lene Haldbo-Classen; S M Hadi Hosseini; Ali Amidi
Journal:  Brain Imaging Behav       Date:  2021-08-15       Impact factor: 3.978

6.  Contrasting characteristics of daily physical activity in older adults by cancer history.

Authors:  Amal A Wanigatunga; Gillian K Gresham; Pei-Lun Kuo; Pablo Martinez-Amezcua; Vadim Zipunnikov; Sydney M Dy; Eleanor M Simonsick; Luigi Ferrucci; Jennifer A Schrack
Journal:  Cancer       Date:  2018-10-01       Impact factor: 6.860

7.  Longitudinal Trajectory and Characterization of Cancer-Related Cognitive Impairment in a Nationwide Cohort Study.

Authors:  Michelle C Janelsins; Charles E Heckler; Luke J Peppone; Tim A Ahles; Supriya G Mohile; Karen M Mustian; Oxana Palesh; Ann M O'Mara; Lori M Minasian; Annalynn M Williams; Allison Magnuson; Jodi Geer; Shaker R Dakhil; Judith O Hopkins; Gary R Morrow
Journal:  J Clin Oncol       Date:  2018-09-21       Impact factor: 44.544

8.  Risk of cognition alteration and emotional frailty via circulating transcriptome in treatment naïve head and neck squamous cell cancer patients.

Authors:  A M Anusa; Rooban Thavarajah
Journal:  J Oral Biol Craniofac Res       Date:  2019-03-13

9.  Androgen deprivation therapy and cognitive decline-associations with brain connectomes, endocrine status, and risk genotypes.

Authors:  Cecilie R Buskbjerg; Ali Amidi; Simon Buus; Claus H Gravholt; S M Hadi Hosseini; Robert Zachariae
Journal:  Prostate Cancer Prostatic Dis       Date:  2021-06-04       Impact factor: 5.554

Review 10.  Neurocognitive Impairment After Hematopoietic Stem Cell Transplant for Hematologic Malignancies: Phenotype and Mechanisms.

Authors:  Rebecca A Harrison; Noha Sharafeldin; Jennie L Rexer; Brennan Streck; Melissa Petersen; Ashley M Henneghan; Shelli R Kesler
Journal:  Oncologist       Date:  2021-07-12
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.