Evidence map›Paper›PMID 39552856›Full record

ArticleJournal of thoracic disease2024

Radiomic score is prognostic in clinical stage I lung adenocarcinoma ≤2 cm undergoing surgery.

Ju Ae Park, Duy Pham, Hongkun Wang, Sandeep Khandhar, Michael J Weyant, Kei Suzuki

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Ju Ae ParkDepartment of Surgery, INOVA Fairfax Medical Center, Fairfax, VA, USA.
Duy PhamUniversity of Virginia School of Medicine, Charlottesville, VA, USA.
Hongkun WangDepartment of Biostatistics, Bioinformatics and Biomathematics, Georgetown University, Washington, DC, USA.
Sandeep KhandharDepartment of Surgery, Virginia Cancer Specialists, Fairfax, VA, USA.
Michael J WeyantDepartment of Surgery, Thoracic Surgery, INOVA Fairfax Medical Center, Fairfax, VA, USA.
Kei SuzukiDepartment of Surgery, Thoracic Surgery, INOVA Fairfax Medical Center, Fairfax, VA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As sub-lobar resection becomes acceptable for lung cancer ≤2 cm, a preoperative marker of tumor aggressiveness to choose an appropriate extent of resection becomes necessary. We sought to assess the utility of Computer-Aided Nodule Assessment and Risk Yield (CANARY), a validated radiomic tool, in clinical stage I adenocarcinoma ≤2 cm. Methods: We performed a retrospective review of resected lung cancer patients from 2016-2022. Our eligibility criteria included clinical stage I adenocarcinoma, availability of pre-operative computed tomography (CT) imaging, and a lesion size of ≤2 cm. Preoperative imaging was input into the CANARY program, and this was then used to categorize each lesion into good, intermediate, and poor. Kaplan-Meier curve was used to compare the recurrence-free survival (RFS). Descriptive statistics and log-rank tests were conducted to compare RFS between risk groups. Results: Study population (n=134) had a median age of 68.6 and follow up of 2.9 years. By CANARY profile, 29 patients (21.6%) were good risk, 52 (38.8%) intermediate, and 53 (39.6%) poor. By procedure, 52 patients (38.8%) received wedge resections. Overall, the 3-year RFS was 96.3%, 92.0%, and 72.7% for patients with good, intermediate, and poor risks, respectively. There was a statistically significant difference in RFS between each risk group (χ Conclusions: Poor risk on CANARY analysis is significantly associated with increased risk of recurrence after resection in clinical stage I adenocarcinoma lesions ≤2 cm.

Indexed as

Lung cancerradiomicssub-lobar resections

Identifiers

PMID39552856
PMCPMC11565337

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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.