Evidence map›Paper›PMID 29534953›Full record

ArticleThe Annals of thoracic surgery2018

Radiographic Predictors of Resectability in Thymic Carcinoma.

Sara A Hayes, James Huang, Jennifer Golia Pernicka, Jane Cunningham, Junting Zheng, Chaya S Moskowitz, Michelle S Ginsberg

Open access · greenAbstract read
In one paragraph

Article in The Annals of thoracic surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

15 citing papers in PubMed, 17 citations in OpenAlex.

  1. Myasthenia Gravis and Thymoma.Muscle & nerve · 2026
    Review
  2. Article
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  4. Update on thymic epithelial tumors: a narrative review.Mediastinum (Hong Kong, China) · 2024
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Sara A HayesDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York. Electronic address: hayess@mskcc.org.
James HuangDepartment of Surgery, Thoracic Service, Memorial Sloan Kettering Cancer Center, New York, New York.
Jennifer Golia PernickaDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York.
Jane CunninghamDepartment of Radiology, Beaumont Hospital, Dublin, Ireland.
Junting ZhengDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Chaya S MoskowitzDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Michelle S GinsbergDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York.
Memorial Sloan Kettering Cancer Center · USBeaumont Hospital · IE

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundThe aim of this study was to assess preoperative computed tomography characteristics of thymic carcinomas and to investigate which features could predict an incomplete surgical resection. A secondary aim was to correlate preoperative imaging features with Masaoka stage.

methodsIn this study, approved by our Institutional Review Board, two readers retrospectively reviewed preoperative computed tomography scans at our tertiary referral oncology center between 1994 and 2014. Imaging features analyzed included tumor morphology, infiltration of surrounding mediastinal fat, loss of surrounding fat plane, degree of contact between tumor and great vessels, and associated pulmonary or pleural abnormality. Surgical and pathologic records were reviewed for completeness of surgical resection and Masaoka stage.

resultsForty-one patients were included, with Masaoka stage I (n = 3), stage II (n = 4), stage III (n = 12), and stage IV (n = 22). Twenty-one patients (51%) had a complete surgical resection. Ten had microscopic residual disease (R1) with involved surgical margins at pathology, and 10 patients had macroscopic residual disease (R2) at surgery. In addition to lesion size, the feature associated with incomplete surgical resection was the degree of tumor contact with adjacent mediastinal vessels on the preoperative computed tomography image (p = 0.038). Many of the more common features associated with incomplete resection were also more likely to be present in patients with late Masaoka stage (III/IV), including infiltration of the mediastinal fat, which was present in all 34 patients with Masaoka stage III/IV compared with 5 patients (71%) with stage I/II (p = 0.03).

conclusionsPreoperative computed tomography imaging features may help to identify patients at risk for an incomplete surgical resection.

Indexed as

Tomography, X-Ray ComputedAdultAgedCohort StudiesDisease-Free SurvivalFemaleHumansIrelandMaleMiddle AgedMultivariate AnalysisNeoplasm InvasivenessNeoplasm StagingPredictive Value of TestsPreoperative CareRetrospective Studies

Identifiers

PMID29534953
PMCPMC6853178
OpenAlexW2793043955

What OpenQuestion holds

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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.