Evidence map›Paper›PMID 31463111›Full record

ArticleJournal of thoracic disease2019

A prospective comparison of growth patterns with radiomorphology in 232 lung metastases-basis for patient tailored resection planning?

Nomair Issa, Elias Arfanis, Thomas Hager, Clemens Aigner, Sarah Dietz-Terjung, Dirk Theegarten, Hilmar Kühl, Stefan Welter

Abstract read
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Article in Journal of thoracic disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Nomair IssaDepartment of Thoracic Surgery and Endoscopy, Ruhrlandklinik, West German Lung Center, University Hospital, University of Duisburg-Essen, Essen, Germany.
Elias ArfanisDepartment of Thoracic Surgery and Endoscopy, Ruhrlandklinik, West German Lung Center, University Hospital, University of Duisburg-Essen, Essen, Germany.
Thomas HagerInstitute of Pathology, University Clinic Essen, University of Duisburg-Essen, Essen, Germany.
Clemens AignerDepartment of Thoracic Surgery and Endoscopy, Ruhrlandklinik, West German Lung Center, University Hospital, University of Duisburg-Essen, Essen, Germany.
Sarah Dietz-TerjungDepartment of Thoracic Surgery and Endoscopy, Ruhrlandklinik, West German Lung Center, University Hospital, University of Duisburg-Essen, Essen, Germany.
Dirk TheegartenInstitute of Pathology, University Clinic Essen, University of Duisburg-Essen, Essen, Germany.
Hilmar KühlDepartment of Radiology, St. Bernhard-Hospital, Kamp-Lintfort, Germany.
Stefan WelterDepartment of Thoracic Surgery, Lung Clinic Hemer, Hemer, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe histologic presence of aggressive local growth of pulmonary metastases is associated with an increased risk for local intrapulmonary recurrence after enucleation or wedge resection. Patient tailored resection planning is possible when morphologic pattern of aggressive growth could be identified based on preoperative CT scans.

methodsRadiomorphology and microscopic growth characteristics from 232 pulmonary metastases from 87 patients were prospectively compared for the presence or absence of aggressive patterns of local intrapulmonary dissemination.

resultsMicroscopic aggressive local growth was found: pleural involvement (18.5%), lymphatic invasion (6.9%), vascular invasion (7.3%), interstitial growth (38.4%), micro satellite nodules (24.5%), spread through air spaces (STAS) (13.4%), and a smooth, slightly blurred or irregular surface in 34.1%, 43.1% and 22.8%. The radiologic margin demarcation was smooth in 37.1%, blurred in 27.6% or irregular in 35.3% and spiculae were present in 26.3% of the lesions. The microscopic and radiologic description of the metastasis surface correlated well [correlation coefficient (CC) =0.75, P<0.001]. A smooth surface on CT scan corresponded with a smooth microscopic surface in 72/86 (83.7%) of the lesions. The radiomorphologic feature of an irregular or cloudy surface was highly associated with the presence of at least one aggressive pattern of local dissemination (P<0.001). The presence of spiculae on CT scan was well associated with the presence of aggressive local spread (P<0.001) and the microscopic features corresponding with spiculae were interstitial growth, STAS and L1.

conclusionsRadiomorphologic characteristics of lung metastases correspond well with the microscopic appearance of the resected lesion. Therefore it seems possible to adjust safety margins based on the radiologic appearance of the metastasis.

Indexed as

Growth patternspulmonary metastasectomyradiomorphology

Identifiers

PMID31463111
PMCPMC6687991

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