Evidence map›Paper›PMID 23927330›Full record

ArticleMedical physics2013

Variability of tumor area measurements for response assessment in malignant pleural mesothelioma.

Zacariah E Labby, Christopher Straus, Philip Caligiuri, Heber MacMahon, Ping Li, Alexandra Funaki, Hedy L Kindler, Samuel G Armato

Abstract read
In one paragraph

Article in Medical physics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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.

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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Radiomics in lung cancer for oncologists.Journal of clinical and translational research · 2020
    Article
  4. Article
  5. Observational
  6. Article
  7. Novel Quantitative Imaging for Predicting Response to Therapy: Techniques and Clinical Applications.American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting · 2018
    Review
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

8 authors.

Zacariah E LabbyDepartment of Radiology, The University of Chicago, 5841 South Maryland Avenue, Chicago, Illinois 60637, USA.
Christopher Straus
Philip Caligiuri
Heber MacMahon
Ping Li
Alexandra Funaki
Hedy L Kindler
Samuel G Armato

Funding

RESEARCH TRAINING IN MEDICAL PHYSICST32EB002103 · NIBIB · UNIVERSITY OF CHICAGO · PI ARMATO, SAMUEL G. · 2003 to 2019
$4.7M
Computerized Analysis of Mesothelioma on CT ScansR01CA102085 · NCI · UNIVERSITY OF CHICAGO · PI ARMATO, SAMUEL G. · 2006 to 2009
$1.5M
NCI NIH HHS R01 CA102085NCI NIH HHS R01CA102085NIBIB NIH HHS T32 EB002103NIBIB NIH HHS T32EB002103
6 · The paper itself

Abstract

purposeThe measurement of malignant pleural mesothelioma is critical to the assessment of tumor response to therapy. Current response assessment standards utilize summed linear measurements acquired on three computed tomography (CT) sections. The purpose of this study was to evaluate manual area measurements as an alternate response assessment metric, specifically through the study of measurement interobserver variability.

methodsTwo CT scans from each of 31 patients were collected. Using a computer interface, five observers contoured tumor on three selected CT sections from each baseline scan. Four observers also constructed matched follow-up scan tumor contours for the same 31 patients. Area measurements extracted from these contours were compared using a random effects analysis of variance model to assess relative interobserver variability. The sums of section area measurements were also analyzed, since these area sums are more clinically relevant for response assessment.

resultsWhen each observer's measurements were compared with those of the other four observers, strong correlation was observed. The 95% confidence interval for relative interobserver variability of baseline scan summed area measurements was [-71%, +240%], spanning 311%. For the follow-up scan summed area measurements, the 95% confidence interval for relative interobserver variability was [-41%, +70%], spanning 111%. At both baseline and follow-up, the variability among observers was a significant component of the total variability in both per-section and summed area measurements (p<0.0001).

conclusionsDespite the ability of tumor area measurements to capture tumor burden with greater fidelity than linear tumor thickness measurements, manual area measurements may not be a robust means of response assessment in mesothelioma patients.

Indexed as

Tomography, X-Ray ComputedAgedAged, 80 and overFemaleFollow-Up StudiesHumansLung NeoplasmsMaleMesotheliomaMesothelioma, MalignantMiddle AgedObserver VariationTreatment Outcome

Identifiers

PMID23927330
PMCPMC3739828

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Registered trials

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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.