Evidence map›Paper›PMID 32123864›Full record

ArticleThe Lancet. Digital health2020

CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in Stage I, II resectable Non-Small Cell Lung Cancer: a retrospective multi-cohort study for outcome prediction.

Pranjal Vaidya, Kaustav Bera, Amit Gupta, Xiangxue Wang, Germán Corredor, Pingfu Fu, Niha Beig, Prateek Prasanna, Pradnya Patil, Priya Velu and 6 more

Abstract read
In one paragraph

Article in The Lancet. Digital health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. [Advances in radiomics for early diagnosis and precision treatment of lung cancer].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025
    Review
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  19. A Focus on the Synergy of Radiomics and RNA Sequencing in Breast Cancer.International journal of molecular sciences · 2023
    Review
  20. 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

16 authors.

Pranjal VaidyaCase Western Reserve University, Cleveland, OH, USA 44106.
Kaustav BeraCase Western Reserve University, Cleveland, OH, USA 44106.
Amit GuptaUniversity Hospitals, Cleveland, OH, USA 44106.
Xiangxue WangCase Western Reserve University, Cleveland, OH, USA 44106.
Germán CorredorCase Western Reserve University, Cleveland, OH, USA 44106.
Pingfu FuCase Western Reserve University, Cleveland, OH, USA 44106.
Niha BeigCase Western Reserve University, Cleveland, OH, USA 44106.
Prateek PrasannaCase Western Reserve University, Cleveland, OH, USA 44106.
Pradnya PatilCleveland Clinic, Cleveland, OH, USA 44106.
Priya VeluWeill Cornell Medicine, NY, USA 14850.
Prabhakar RajiahMayo Clinic, Rochester, USA 55905.
Robert GilkesonUniversity Hospitals, Cleveland, OH, USA 44106.
Michael FeldmanUniversity of Pennsylvania, Perelman School of Medicine, PA, USA 19104.
Humberto ChoiCleveland Clinic, Cleveland, OH, USA 44106.
Vamsidhar VelchetiNYU Langone- Laura and Isaac Perlmutter Cancer Center, NY, USA 10016.
Anant MadabhushiCase Western Reserve University, Cleveland, OH, USA 44106.

Funding

Targeted Combination Therapy for MelanomaP50CA174523 · NCI · WISTAR INSTITUTE · PI HERLYN, MEENHARD F · 2014 to 2018
$11.1M
Role of MYC-MIZ1 signaling and the inflammatory immune microenvironment in Triple-Negative Breast Cancer Racial DisparitiesP20CA233216 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI VARADAN, VINAY · 2018 to 2021
$3.6M
Computerized histologic image predictor of cancer outcomeR01CA202752 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI FELDMAN, MICHAEL D, GANESAN, SHRIDAR · 2016 to 2020
$3.1M
Quantitative Histomorphometric Risk Classifier (QuHbIC) in HPV + Oropharyngeal CarcinomaR01CA220581 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI KOYFMAN, SHLOMO, LEWIS, JAMES · 2018 to 2023
$3.1M
Computerized Histologic Risk Predictor (CHiRP) for Early Stage Lung CancersR01CA216579 · NCI · EMORY UNIVERSITY · PI FU, PINGFU, LLOYD, MARK · 2018 to 2023
$3.1M
MR Fingerprinting and Computerized Decision Support for Prostate CancerR01CA208236 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GULANI, VIKAS, PONSKY, LEE EVAN · 2017 to 2022
$3.0M
Pathology Image Informatics Platform for visualization, analysis and managementU24CA199374 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI GURCAN, METIN NAFI, MADABHUSHI, ANANT · 2015 to 2019
$2.9M
HistoTools: A suite of digital pathology tools for quality control, annotation and dataset identificationU01CA239055 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI JANOWCZYK, ANDREW ROBERT, MADABHUSHI, ANANT · 2019 to 2022
$1.0M
Systems biology frameworks to unravel mechanisms driving complex disordersK25DK115904 · NIDDK · CASE WESTERN RESERVE UNIVERSITY · PI VARADAN, VINAY · 2019 to 2021
$515k
A Study to Validate and Improve an Automated Image Analysis Algorithm to Detect Tuberculosis in Sputum Smear SlidesR43EB028736 · NIBIB · DIASCOPIC, LLC · PI MADABHUSHI, ANANT, SERIF, CARY · 2019 to 2019
$225k
RadIO: A Novel Radiomics Toolkit to Predict and Characterize Response to Immunotherapy in Stage III Non-Small Cell Lung CancerI01BX004121 · VA · VETERANS HEALTH ADMINISTRATION · PI Anant Madabhushi, Charles J Nock · 2019 to 2026
–
BLRD VA I01 BX004121NCI NIH HHS P20 CA233216NCI NIH HHS P50 CA174523NCI NIH HHS R01 CA202752NCI NIH HHS R01 CA208236NCI NIH HHS R01 CA216579NCI NIH HHS R01 CA220581NCI NIH HHS U01 CA239055NCI NIH HHS U24 CA199374NIBIB NIH HHS R43 EB028736NIDDK NIH HHS K25 DK115904
6 · The paper itself

Abstract

Summary: Background: Development and validation of a quantitative radiomic risk score (QuRiS) and associated nomogram (QuRNom) for early-stage non-small cell lung cancer (ES-NSCLC) that is prognostic of disease-free survival (DFS) and predictive of the added benefit of adjuvant chemotherapy (ACT) following surgery. Methods: QuRiS was developed using radiomic texture features derived from within and outside the primary lung nodule on chest CT scans using a cohort D Findings: QuRiS consisted three intra- and ten peri-tumoral CT-radiomic features and was found to be significantly associated with DFS (D Interpretation: QuRiS and QuRNom were validated as being prognostic of DFS and predictive of the added benefit of ACT.

Indexed as

Neoplasm StagingTomography, X-Ray ComputedAgedCarcinoma, Non-Small-Cell LungChemotherapy, AdjuvantDisease-Free SurvivalFemaleForecastingHumansMaleMiddle AgedOutcome Assessment, Health CareRetrospective StudiesAdjuvant chemotherapyDisease Free SurvivalLung CancerNomogramPathomicsPredictive BiomarkerRadiogenomicsRadiomicsRisk-Stratification

Identifiers

PMID32123864
PMCPMC7051021

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.