Evidence map›Paper›PMID 32988968›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2020

Enhanced Detection of Treatment Effects on Metastatic Colorectal Cancer with Volumetric CT Measurements for Tumor Burden Growth Rate Evaluation.

Michael L Maitland, Julia Wilkerson, Sanja Karovic, Binsheng Zhao, Jessica Flynn, Mengxi Zhou, Patrick Hilden, Firas S Ahmed, Laurent Dercle, Chaya S Moskowitz and 8 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.8field-weighted citation impact, top 12% 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

24 citing papers in PubMed, 35 citations in OpenAlex.

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  16. Depth of Radiographic Response and Time to Tumor Regrowth Predicts Overall Survival Following Anti-VEGF Therapy in Recurrent Glioblastoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
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  19. CT radiomic predictors of local relapse after SBRT for lung oligometastases from colorectal cancer: a single institute pilot study.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2023
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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

18 authors at 7 institutions in 1 country.

Michael L MaitlandInova Schar Cancer Institute, Fairfax, Virginia. michael.maitland@inova.org.
Julia WilkersonColumbia University Herbert Irving Comprehensive Cancer Center, New York, New York.
Sanja KarovicInova Schar Cancer Institute, Fairfax, Virginia.
Binsheng ZhaoDepartment of Radiology, Columbia University Vagelos College of Physicians and Surgeons/New York Presbyterian Hospital, New York, New York.
Jessica FlynnMemorial Sloan Kettering Cancer Center, Department of Epidemiology and Biostatistics, New York, New York.
Mengxi ZhouColumbia University Herbert Irving Comprehensive Cancer Center, New York, New York.
Patrick HildenMemorial Sloan Kettering Cancer Center, Department of Epidemiology and Biostatistics, New York, New York.
Firas S AhmedDepartment of Radiology, Columbia University Vagelos College of Physicians and Surgeons/New York Presbyterian Hospital, New York, New York.ORCID 0000-0001-9616-9297
Laurent DercleDepartment of Radiology, Columbia University Vagelos College of Physicians and Surgeons/New York Presbyterian Hospital, New York, New York.ORCID 0000-0002-1322-0710
Chaya S MoskowitzMemorial Sloan Kettering Cancer Center, Department of Epidemiology and Biostatistics, New York, New York.
Ying TangCCS Associates, McLean, Virginia.ORCID 0000-0003-2788-630X
Dana E ConnorsFoundation for the National Institutes of Health Biomarkers Consortium, North Bethesda, Maryland.
Stacey J AdamFoundation for the National Institutes of Health Biomarkers Consortium, North Bethesda, Maryland.
Gary KelloffFoundation for the National Institutes of Health Biomarkers Consortium, North Bethesda, Maryland.
Mithat GonenMemorial Sloan Kettering Cancer Center, Department of Epidemiology and Biostatistics, New York, New York.ORCID 0000-0001-8683-8477
Tito FojoColumbia University Herbert Irving Comprehensive Cancer Center, New York, New York.
Lawrence H SchwartzDepartment of Radiology, Columbia University Vagelos College of Physicians and Surgeons/New York Presbyterian Hospital, New York, New York.
Geoffrey R OxnardDana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
Memorial Sloan Kettering Cancer Center · USNewYork–Presbyterian Hospital · USCancer Genetics (United States) · USFoundation for the National Institutes of Health · USVirginia Cancer Institute · USCCS Associates (United States) · USDana-Farber Cancer Institute · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Integrating Radiomics into S0819 and Lung-MAP, Biomarker Driven Clinical Trials for Lung CancerU01CA225431 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI SCHWARTZ, LAWRENCE H, ZHAO, BINSHENG · 2018 to 2022
$3.1M
Computational modeling of tumor burden by CT to advance cancer therapeuticsR01CA194783 · NCI · UNIVERSITY OF CHICAGO · PI BRUNO, RENE, MAITLAND, MICHAEL L. · 2015 to 2020
$2.9M
NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA194783NCI NIH HHS U01 CA225431
6 · The paper itself

Abstract

purposeMathematical models combined with new imaging technologies could improve clinical oncology studies. To improve detection of therapeutic effect in patients with cancer, we assessed volumetric measurement of target lesions to estimate the rates of exponential tumor growth and regression as treatment is administered. EXPERIMENTAL

designTwo completed phase III trials were studied (988 patients) of aflibercept or panitumumab added to standard chemotherapy for advanced colorectal cancer. Retrospectively, radiologists performed semiautomated measurements of all metastatic lesions on CT images. Using exponential growth modeling, tumor regression (

resultsExponential growth modeling of volumetric measurements detected different empiric mechanisms of effect for each drug: panitumumab marginally augmented the decay rate [tumor half-life;

conclusionsCombined tumor volume measurement and estimation of tumor regression and growth rate has potential to enhance assessment of treatment effects in clinical studies of colorectal cancer that would not be achieved with conventional, RECIST-based unidimensional measurements.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsClinical Trials, Phase III as TopicColorectal NeoplasmsCone-Beam Computed TomographyFollow-Up StudiesHumansNeoplasm MetastasisPrognosisResponse Evaluation Criteria in Solid TumorsRetrospective StudiesSurvival RateTomography, X-Ray Computed

Identifiers

PMID32988968
PMCPMC8170504
OpenAlexW3090398150

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.