Evidence map›Paper›PMID 34344472›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2021

Implementing CT tumor volume and CT pleural thickness into future staging systems for malignant pleural mesothelioma.

Olivia Lauk, Miriam Patella, Thomas Neuer, Bianca Battilana, Thomas Frauenfelder, Thi Dan Linh Nguyen-Kim, Walter Weder, Claudio Caviezel, Sven Hillinger, Ilhan Inci and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

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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

11 authors at 1 institution in 1 country.

Olivia LaukDepartment of Thoracic Surgery, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
Miriam PatellaDepartment of Thoracic Surgery, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
Thomas NeuerDepartment of Thoracic Surgery, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
Bianca BattilanaDepartment of Thoracic Surgery, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
Thomas FrauenfelderInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
Thi Dan Linh Nguyen-KimInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
Walter WederDepartment of Thoracic Surgery, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
Claudio CaviezelDepartment of Thoracic Surgery, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
Sven HillingerDepartment of Thoracic Surgery, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
Ilhan InciDepartment of Thoracic Surgery, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
Isabelle OpitzDepartment of Thoracic Surgery, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland. isabelle.schmitt-opitz@usz.ch.ORCID http://orcid.org/0000-0001-5900-9040
University Hospital of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTumor thickness and tumor volume measured by computed tomography (CT) were suggested as valuable prognosticator for patients' survival diagnosed with malignant pleural mesothelioma (MPM). The purpose was to assess the accuracy of CT scan based preoperatively measured tumor volume and thickness compared to actual tumor weight of resected MPM specimen and pathologically assessed tumor thickness, as well as an analysis of their impact on overall survival (OS).

methodsBetween 09/2013-08/2018, 74 patients were treated with induction chemotherapy followed by (extended) pleurectomy/decortication ((E)PD). In 53 patients, correlations were made between CT-measured volume and -tumor thickness (cTV and cTT) and actual tumor weight (pTW) based on the available values. Further cTV and pT/IMIG stage were correlated using Pearson correlation. Overall survival (OS) was calculated with Kaplan Meier analysis and tested with log rank test. For correlation with OS Kaplan-Meier curves were made and log rank test was performed for all measurements dichotomized at the median.

resultsMedian pathological tumor volume (pTV) and pTW were 530 ml [130 ml - 1000 ml] and 485 mg [95 g - 982 g] respectively. Median (IQR) cTV was 77.2 ml (35.0-238.0), median cTT was 9.0 mm (6.2-13.7). Significant association was found between cTV and pTV (R = 0.47, p < 0.001) and between cTT and IMIG stage (p = 0,001) at univariate analysis. Multivariate regression analysis revealed, that only cTV correlates with pTV. Median follow-up time was 36.3 months with 30 patients dead at the time of the analysis. Median OS was 23.7 months. 1-year and 3-year survival were 90 and 26% respectively and only the cTV remained statistically associated with OS.

conclusionPreoperatively assessed CT tumor volume and actual tumor volume showed a significant correlation. CT tumor volume may predict pathological tumor volume as a reflection of tumor burden, which supports the integration of CT tumor volume into future staging systems.

Indexed as

Lung NeoplasmsMesotheliomaMesothelioma, MalignantHumansMaleNeoplasm StagingTomography, X-Ray ComputedTreatment OutcomeTumor BurdenComputed tomography tumor volumeMacroscopic complete resectionMalignant pleural mesotheliomaPathological tumor weightPleurectomy/decortication

Identifiers

PMID34344472
PMCPMC8330125
OpenAlexW3189602961

What OpenQuestion holds

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LicenceCC BY
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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.