Evidence map›Paper›PMID 32548294›Full record

ArticleTomography (Ann Arbor, Mich.)2020

Repeatability and Reproducibility of ADC Histogram Metrics from the ACRIN 6698 Breast Cancer Therapy Response Trial.

David C Newitt, Ghoncheh Amouzandeh, Savannah C Partridge, Helga S Marques, Benjamin A Herman, Brian D Ross, Nola M Hylton, Thomas L Chenevert, Dariya I Malyarenko

Registry-linked trialAbstract readMulticenter Study
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01564368 (Diffusion Weighted MR Imaging Biomarkers for Assessment of Breast Cancer Response to Neoadjuvant Treatment), which is not on this map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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.

NCT01564368 nacompletednot on this map

Diffusion Weighted MR Imaging Biomarkers for Assessment of Breast Cancer Response to Neoadjuvant Treatment: A Sub-study of the I-SPY 2 TRIAL (Investigation of Serial Studies to Predict Your Therapeutic Response With Imaging And MoLecular Analysis)

TypeinterventionalSponsorAmerican College of Radiology Imaging NetworkRan2012 to 2020Enrolled406ConditionsBreast CancerArmsdiffusion-weighted magnetic resonance imaging
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Impact of Free Water Correction on the Mean Diffusivity of Glioblastoma is Regional and b-value Dependent: A Retrospective Study on Open-source Datasets.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026
    Article
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  8. Review
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  13. Impact of AlternateTomography (Ann Arbor, Mich.) · 2022
    Article
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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

9 authors.

David C NewittDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA.
Ghoncheh AmouzandehDepartment of Radiology, University of Michigan, Ann Arbor, MI.
Savannah C PartridgeRadiology, University of Washington, Seattle, WA; and.
Helga S MarquesBrown University-Center for Statistical Sciences, ECOG-ACRIN Biostatistics Center, Providence, RI.
Benjamin A HermanBrown University-Center for Statistical Sciences, ECOG-ACRIN Biostatistics Center, Providence, RI.
Brian D RossDepartment of Radiology, University of Michigan, Ann Arbor, MI.
Nola M HyltonDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA.
Thomas L ChenevertDepartment of Radiology, University of Michigan, Ann Arbor, MI.
Dariya I MalyarenkoDepartment of Radiology, University of Michigan, Ann Arbor, MI.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Project-006U10CA180820 · NCI · ECOG-ACRIN MEDICAL RESEARCH FOUNDATION · PI Peter J ODwyer · 2014 to 2026
$167.6M
Statistics CoreU10CA180794 · NCI · DANA-FARBER CANCER INST · PI PAUL J CATALANO · 2014 to 2026
$111.2M
QUANTITATION OF HUMAN BRAIN TUMOR THERAPY RESPONSE BY MRP01CA085878 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GALBAN, CRAIG J · 2001 to 2017
$31.9M
Elimination of Instrumental Bias for Quantitative Diffusion Imaging in Clinical Oncology TrialsR01CA190299 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MALYARENKO, DARIYA I. · 2015 to 2025
$6.4M
Imaging of Hematologic and Oncologic DisordersR35CA197701 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ROSS, BRIAN D. · 2016 to 2022
$5.9M
Real-time In Vivo MRI Biomarkers for Breast Cancer Pre-Operative Treatment TrialsR01CA132870 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HYLTON-WATSON, NOLA M., NEWITT, DAVID C · 2008 to 2019
$4.8M
Quantitative DW-MRI for Early Breast Cancer Treatment Response AssessmentU01CA166104 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHENEVERT, THOMAS L, GALBAN, CRAIG J · 2012 to 2019
$4.1M
Quantitative Imaging for Assessing Breast Cancer Response to TreatmentU01CA225427 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HYLTON-WATSON, NOLA M. · 2018 to 2022
$3.2M
NCI NIH HHS P01 CA085878NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA132870NCI NIH HHS R01 CA190299NCI NIH HHS R35 CA197701NCI NIH HHS U01 CA166104NCI NIH HHS U01 CA225427NCI NIH HHS U10 CA180794NCI NIH HHS U10 CA180820
6 · The paper itself

Abstract

Mean tumor apparent diffusion coefficient (ADC) of breast cancer showed excellent repeatability but only moderate predictive power for breast cancer therapy response in the ACRIN 6698 multicenter imaging trial. Previous single-center studies have shown improved predictive performance for alternative ADC histogram metrics related to low ADC dense tumor volume. Using test/retest (TT/RT) 4 b-value diffusion-weighted imaging acquisitions from pretreatment or early-treatment time-points on 71 ACRIN 6698 patients, we evaluated repeatability for ADC histogram metrics to establish confidence intervals and inform predictive models for future therapy response analysis. Histograms were generated using regions of interest (ROIs) defined separately for TT and RT diffusion-weighted imaging. TT/RT repeatability and intra- and inter-reader reproducibility (on a 20-patient subset) were evaluated using wCV and Bland-Altman limits of agreement for histogram percentiles, low-ADC dense tumor volumes, and fractional volumes (normalized to total histogram volume). Pearson correlation was used to reveal connections between metrics and ROI variability across the sample cohort. Low percentiles (15th and 25th) were highly repeatable and reproducible, wCV < 8.1%, comparable to mean ADC values previously reported. Volumetric metrics had higher wCV values in all cases, with fractional volumes somewhat better but at least 3 times higher than percentile wCVs. These metrics appear most sensitive to ADC changes around a threshold of 1.2 μm

Indexed as

Breast NeoplasmsDiffusion Magnetic Resonance ImagingFemaleHumansReproducibility of ResultsTumor BurdenADC histogram analysisADC repeatabilityapparent diffusion coefficientbreast cancer therapy responseClinical imaging trials

Identifiers

PMID32548294
PMCPMC7289237

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Registered trials

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.