Evidence map›Paper›PMID 20534736›Full record

Trial reportClinical cancer research : an official journal of the American Association for Cancer Research2010

A pilot study of volume measurement as a method of tumor response evaluation to aid biomarker development.

Binsheng Zhao, Geoffrey R Oxnard, Chaya S Moskowitz, Mark G Kris, William Pao, Pingzhen Guo, Valerie M Rusch, Marc Ladanyi, Naiyer A Rizvi, Lawrence H Schwartz

Open access · bronzeAbstract readClinical Trial, Phase II
In one paragraph

Trial report in Clinical cancer research : an official journal of the American Association for Cancer Research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 1 pooled it
7.7field-weighted citation impact, top 2% 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

59 citing papers in PubMed, 1 synthesis or guideline pooled it, 110 citations in OpenAlex.

  1. Pooled it
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  7. Assessing the effect of CT slice interval on unidimensional, bidimensional and volumetric measurements of solid tumours.Cancer imaging : the official publication of the International Cancer Imaging Society · 2012
    Trial
  8. Variability of lung tumor measurements on repeat computed tomography scans taken within 15 minutes.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2011
    Trial
  9. Trial
  10. Article
  11. Imaging Follow-Up of Nonsurgical Therapies for Lung Cancer:AJR. American journal of roentgenology · 2023
    Review
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  19. Identification of Non-Small Cell Lung Cancer Sensitive to Systemic Cancer Therapies Using Radiomics.Clinical cancer research : an official journal of the American Association for Cancer Research · 2020
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Binsheng ZhaoDepartment of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, New York, USA. bz2166@columbia.edu
Geoffrey R Oxnard
Chaya S Moskowitz
Mark G Kris
William Pao
Pingzhen Guo
Valerie M Rusch
Marc Ladanyi
Naiyer A Rizvi
Lawrence H Schwartz
Memorial Sloan Kettering Cancer Center · US

Funding

The Role of Focal Oncogene Amplifications in Lung CancerP01CA129243 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Piro Lito · 2007 to 2026
$31.2M
SOLID TUMORP01CA005826 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SPRIGGS, DAVID R · 1985 to 2005
$8.1M
Overcoming acquired resistance to EGFR inhibitors in lung cancerR01CA121210 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI LOVLY, CHRISTINE M. · 2007 to 2016
$2.9M
Advanced Anatomic and Functional Response Assessment in Lung CancerR01CA125143 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI SCHWARTZ, LAWRENCE H · 2007 to 2011
$1.7M
Correlation of EGFR Mutations and Response to GefitinibR21CA113653 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI RIZVI, NAIYER A · 2005 to 2006
$243k
NCI NIH HHS P01 CA005826NCI NIH HHS P01 CA129243NCI NIH HHS P01CA129243NCI NIH HHS R01 CA121210NCI NIH HHS R01 CA125143NCI NIH HHS R01CA125143NCI NIH HHS R21 CA113653NCI NIH HHS R21CA113653
6 · The paper itself

Abstract

purposeTissue biomarker discovery is potentially limited by conventional tumor measurement techniques, which have an uncertain ability to accurately distinguish sensitive and resistant tumors. Semiautomated volumetric measurement of computed tomography imaging has the potential to more accurately capture tumor growth dynamics, allowing for more exact separation of sensitive and resistant tumors and a more accurate comparison of tissue characteristics. EXPERIMENTAL

designForty-eight patients with early stage non-small cell lung cancer and clinical characteristics of sensitivity to gefitinib were studied. High-resolution computed tomography was done at baseline and after 3 weeks of gefitinib. Tumors were then resected and molecularly profiled. Unidimensional and volumetric measurements were done using a semiautomated algorithm. Measurement changes were evaluated for their ability to differentiate tumors with and without sensitizing mutations.

resultsForty-four percent of tumors had epidermal growth factor receptor-sensitizing mutations. Receiver operating characteristic curve analysis showed that volumetric measurement had a higher area under the curve than unidimensional measurement for identifying tumors harboring sensitizing mutations (P = 0.009). Tumor volume decrease of >24.9% was the imaging criteria best able to classify tumors with and without sensitizing mutations (sensitivity, 90%; specificity, 89%).

conclusionsVolumetric tumor measurement was better than unidimensional tumor measurement at distinguishing tumors based on presence or absence of a sensitizing mutation. Use of volume-based response assessment for the development of tissue biomarkers could reduce contamination between sensitive and resistant tumor populations, improving our ability to identify meaningful predictors of sensitivity.

Indexed as

Tumor BurdenAntineoplastic AgentsBiomarkers, PharmacologicalBiomarkers, TumorCarcinoma, Non-Small-Cell LungDisease ProgressionDrug Resistance, NeoplasmGefitinibHumansImaging, Three-DimensionalLung NeoplasmsPilot ProjectsPrognosisQuinazolinesSensitivity and SpecificityTomography, X-Ray ComputedAntineoplastic AgentsBiomarkers, PharmacologicalBiomarkers, TumorGefitinibQuinazolines

Identifiers

PMID20534736
PMCPMC2940965
OpenAlexW2125087699

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.