Evidence map›Paper›PMID 29895834›Full record

ArticleScientific reports2018

Deciphering Clinicoradiologic Phenotype for Thymidylate Synthase Expression Status in Patients with Advanced Lung Adenocarcinoma Using a Radiomics Approach.

So Won Lee, Hyunjin Park, Ho Yun Lee, Insuk Sohn, Seung-Hak Lee, Jun Kang, Jong-Mu Sun, Myung-Ju Ahn

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. 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
1.6field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Are radiomics features universally applicable to different organs?Cancer imaging : the official publication of the International Cancer Imaging Society · 2021
    Article
  4. Article
  5. Article
  6. Clinical impact of variability on CT radiomics and suggestions for suitable feature selection: a focus on lung cancer.Cancer imaging : the official publication of the International Cancer Imaging Society · 2019
    Article
  7. Article
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 at 4 institutions in 1 country.

So Won LeeDepartment of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Hyunjin ParkSchool of Electronic and Electrical Engineering, Sungkyunkwan University, Suwon, Korea.
Ho Yun LeeDepartment of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. hoyunlee96@gmail.com.
Insuk SohnStatistics and Data Center, Samsung Medical Center, Seoul, Korea.
Seung-Hak LeeDepartment of Electronic Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Korea.
Jun KangDepartment of Pathology, Inchun St. Mary's Hospital, College of Medicine, Catholic University of Korea, Inchun, Korea.
Jong-Mu SunDivision of Hematology-Oncology, Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Myung-Ju AhnDivision of Hematology-Oncology, Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Sungkyunkwan University · KRSamsung Medical Center · KRCHA University · KRThe Catholic University of Korea Incheon St. Mary's Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to identify predictive clinicoradiologic characteristics of thymidylate synthase (TS) expression status in advanced non-squamous non-small cell lung cancer patients. We reviewed clinicoradiologic features of 169 patients stratified into TS-negative (n = 84) and TS-positive (n = 85) groups, including quantitative CT radiomic features of both primary lung and metastatic lesions from initial CT and PET. Clinical factors including age and smoking history were significantly associated with TS as well as radiomic features. The predictive performance for dichotomizing TS expression status was slightly higher when imaging features of primary lung lesions were added compared to the model based solely on the clinical features, but without statistical significance (10-fold cross-validated AUC = 0.619 and 0.581, respectively; P = 0.425). The predictive performance of clinicoradiologic parameters slightly increased with primary lung lesions only compared to the inclusion of metastatic lesions, but without statistical significance (10-fold cross-validated AUC = 0.619 and 0.554, respectively; P = 0.203). Overall survival was prolonged in the TS-negative group compared to the TS-positive group (P = 0.001). TS-negativity is a potential prognostic biomarker, and our study presents that although CT radiomic features have potential for predicting TS expression status, clinical significance is uncertain. The addition of radiomic features to clinical factors did not show significant improvement in predicting TS-negativity.

Indexed as

Adenocarcinoma of LungGene Expression Regulation, EnzymologicGene Expression Regulation, NeoplasticLung NeoplasmsTomography, X-Ray ComputedAgedBiomarkers, TumorDisease-Free SurvivalFemaleHumansMaleMiddle AgedNeoplasm ProteinsSurvival RateThymidylate SynthaseBiomarkers, TumorNeoplasm ProteinsThymidylate Synthase

Identifiers

PMID29895834
PMCPMC5997691
OpenAlexW2807365982

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.