ArticleRadiology. Imaging cancer2021
Radiogenomic Analysis of Locally Advanced Lung Cancer Based on CT Imaging and Intratreatment Changes in Cell-Free DNA.
Registry-linked trialOpen access · diamondAbstract read
In one paragraph
Article in Radiology. Imaging cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00921739 (Phase I Dose Escalation Study of Accelerated Fractionation With Esophageal Sparing Using Intensity-Modulated Radiation Therapy for Locally-Advanced Thoracic Malignancies Including a Prospective Assessment of Esophageal Motion and Radiation-Induced Esophageal Injury), which is not on this map. Cited by 24 papers, 1 of them a synthesis that pooled it.
0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 7% of its field
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.
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.
Phase I Dose Escalation Study of Accelerated Fractionation With Esophageal Sparing Using Intensity-Modulated Radiation Therapy for Locally-Advanced Thoracic Malignancies Including a Prospective Assessment of Esophageal Motion and Radiation-Induced Esophageal Injury
Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.
- What Genetics Can Do for Oncological Imaging: A Systematic Review of the Genetic Validation Data Used in Radiomics Studies.International journal of molecular sciences · 2022Pooled it
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- Development and validation of a habitat-based computed tomography radiomics model for differentiating isolated lung cancer, isolated tuberculoma, and coexistence of tuberculosis with lung cancer: a dual-center retrospective study.Translational lung cancer research · 2026Article
- Targeting tumoral heterogeneity in lung cancer: a novel, CT-texture-guided targeted biopsy approach with exome sequencing.NPJ precision oncology · 2025Article
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- Integrating ctDNA Analysis and Radiomics for Dynamic Risk Assessment in Localized Lung Cancer.Cancer discovery · 2025Article
- Integrating Radiogenomics and Machine Learning in Musculoskeletal Oncology Care.Diagnostics (Basel, Switzerland) · 2025Review
- Concordance-based Predictive Uncertainty (CPU)-Index: Proof-of-concept with application towards improved specificity of lung cancers on low dose screening CT.Artificial intelligence in medicine · 2025Article
- From Images to Genes: Radiogenomics Based on Artificial Intelligence to Achieve Non-Invasive Precision Medicine in Cancer Patients.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Association of circulating tumor HPV16DNA levels and quantitative PET parameters in patients with HPV-positive head and neck squamous cell carcinoma.Scientific reports · 2024Article
- Artificial intelligence across oncology specialties: current applications and emerging tools.BMJ oncology · 2024Review
- Tumor classification of gastrointestinal liver metastases using CT-based radiomics and deep learning.Cancer imaging : the official publication of the International Cancer Imaging Society · 2023Article
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- Advances on Liquid Biopsy Analysis for Glioma Diagnosis.Biomedicines · 2023Review
- Clinical value of peripheral blood circulating tumor DNA in predicting the efficacy of immunotherapy for non-small cell lung cancer.Journal of thoracic disease · 2023Article
- Radiomics and Radiogenomics in Pelvic Oncology: Current Applications and Future Directions.Current oncology (Toronto, Ont.) · 2023Review
- Feature selection methods and predictive models in CT lung cancer radiomics.Journal of applied clinical medical physics · 2023Review
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- Photon Counting CT and Radiomic Analysis Enables Differentiation of Tumors Based on Lymphocyte Burden.Tomography (Ann Arbor, Mich.) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 1 institution in 1 country.
Kyle J LafataFrom the Departments of Radiation Oncology (K.J.L., M.N.C., C.D.J., J.W., Y.C., C.W., C.R.K., F.F.Y.), Radiology (K.J.L.), Biostatistics and Bioinformatics (J.G.), and Medicine (A.H.), Duke University School of Medicine, 2301 Erwin Rd, Durham, NC 27710; Department of Electrical and Computer Engineering, Duke University Pratt School of Engineering, Durham, NC (K.J.L.); Radiology Medical Group of Napa, Napa, Calif (M.N.C.); Department of Radiation Oncology, Columbia University School of Medicine, New York, NY (E.X.); and Inivata, Cambridge, England (G.J.).ORCID 0000-0002-4513-6249
Michael N CorradettiFrom the Departments of Radiation Oncology (K.J.L., M.N.C., C.D.J., J.W., Y.C., C.W., C.R.K., F.F.Y.), Radiology (K.J.L.), Biostatistics and Bioinformatics (J.G.), and Medicine (A.H.), Duke University School of Medicine, 2301 Erwin Rd, Durham, NC 27710; Department of Electrical and Computer Engineering, Duke University Pratt School of Engineering, Durham, NC (K.J.L.); Radiology Medical Group of Napa, Napa, Calif (M.N.C.); Department of Radiation Oncology, Columbia University School of Medicine, New York, NY (E.X.); and Inivata, Cambridge, England (G.J.).ORCID 0000-0003-2745-3192
Junheng GaoFrom the Departments of Radiation Oncology (K.J.L., M.N.C., C.D.J., J.W., Y.C., C.W., C.R.K., F.F.Y.), Radiology (K.J.L.), Biostatistics and Bioinformatics (J.G.), and Medicine (A.H.), Duke University School of Medicine, 2301 Erwin Rd, Durham, NC 27710; Department of Electrical and Computer Engineering, Duke University Pratt School of Engineering, Durham, NC (K.J.L.); Radiology Medical Group of Napa, Napa, Calif (M.N.C.); Department of Radiation Oncology, Columbia University School of Medicine, New York, NY (E.X.); and Inivata, Cambridge, England (G.J.).ORCID 0000-0003-4810-8128
Corbin D JacobsFrom the Departments of Radiation Oncology (K.J.L., M.N.C., C.D.J., J.W., Y.C., C.W., C.R.K., F.F.Y.), Radiology (K.J.L.), Biostatistics and Bioinformatics (J.G.), and Medicine (A.H.), Duke University School of Medicine, 2301 Erwin Rd, Durham, NC 27710; Department of Electrical and Computer Engineering, Duke University Pratt School of Engineering, Durham, NC (K.J.L.); Radiology Medical Group of Napa, Napa, Calif (M.N.C.); Department of Radiation Oncology, Columbia University School of Medicine, New York, NY (E.X.); and Inivata, Cambridge, England (G.J.).
Jingxi WengFrom the Departments of Radiation Oncology (K.J.L., M.N.C., C.D.J., J.W., Y.C., C.W., C.R.K., F.F.Y.), Radiology (K.J.L.), Biostatistics and Bioinformatics (J.G.), and Medicine (A.H.), Duke University School of Medicine, 2301 Erwin Rd, Durham, NC 27710; Department of Electrical and Computer Engineering, Duke University Pratt School of Engineering, Durham, NC (K.J.L.); Radiology Medical Group of Napa, Napa, Calif (M.N.C.); Department of Radiation Oncology, Columbia University School of Medicine, New York, NY (E.X.); and Inivata, Cambridge, England (G.J.).ORCID 0000-0002-1621-8990
Yushi ChangFrom the Departments of Radiation Oncology (K.J.L., M.N.C., C.D.J., J.W., Y.C., C.W., C.R.K., F.F.Y.), Radiology (K.J.L.), Biostatistics and Bioinformatics (J.G.), and Medicine (A.H.), Duke University School of Medicine, 2301 Erwin Rd, Durham, NC 27710; Department of Electrical and Computer Engineering, Duke University Pratt School of Engineering, Durham, NC (K.J.L.); Radiology Medical Group of Napa, Napa, Calif (M.N.C.); Department of Radiation Oncology, Columbia University School of Medicine, New York, NY (E.X.); and Inivata, Cambridge, England (G.J.).
Chunhao WangFrom the Departments of Radiation Oncology (K.J.L., M.N.C., C.D.J., J.W., Y.C., C.W., C.R.K., F.F.Y.), Radiology (K.J.L.), Biostatistics and Bioinformatics (J.G.), and Medicine (A.H.), Duke University School of Medicine, 2301 Erwin Rd, Durham, NC 27710; Department of Electrical and Computer Engineering, Duke University Pratt School of Engineering, Durham, NC (K.J.L.); Radiology Medical Group of Napa, Napa, Calif (M.N.C.); Department of Radiation Oncology, Columbia University School of Medicine, New York, NY (E.X.); and Inivata, Cambridge, England (G.J.).
Ace HatchFrom the Departments of Radiation Oncology (K.J.L., M.N.C., C.D.J., J.W., Y.C., C.W., C.R.K., F.F.Y.), Radiology (K.J.L.), Biostatistics and Bioinformatics (J.G.), and Medicine (A.H.), Duke University School of Medicine, 2301 Erwin Rd, Durham, NC 27710; Department of Electrical and Computer Engineering, Duke University Pratt School of Engineering, Durham, NC (K.J.L.); Radiology Medical Group of Napa, Napa, Calif (M.N.C.); Department of Radiation Oncology, Columbia University School of Medicine, New York, NY (E.X.); and Inivata, Cambridge, England (G.J.).
Eric XanthopoulosFrom the Departments of Radiation Oncology (K.J.L., M.N.C., C.D.J., J.W., Y.C., C.W., C.R.K., F.F.Y.), Radiology (K.J.L.), Biostatistics and Bioinformatics (J.G.), and Medicine (A.H.), Duke University School of Medicine, 2301 Erwin Rd, Durham, NC 27710; Department of Electrical and Computer Engineering, Duke University Pratt School of Engineering, Durham, NC (K.J.L.); Radiology Medical Group of Napa, Napa, Calif (M.N.C.); Department of Radiation Oncology, Columbia University School of Medicine, New York, NY (E.X.); and Inivata, Cambridge, England (G.J.).
Greg JonesFrom the Departments of Radiation Oncology (K.J.L., M.N.C., C.D.J., J.W., Y.C., C.W., C.R.K., F.F.Y.), Radiology (K.J.L.), Biostatistics and Bioinformatics (J.G.), and Medicine (A.H.), Duke University School of Medicine, 2301 Erwin Rd, Durham, NC 27710; Department of Electrical and Computer Engineering, Duke University Pratt School of Engineering, Durham, NC (K.J.L.); Radiology Medical Group of Napa, Napa, Calif (M.N.C.); Department of Radiation Oncology, Columbia University School of Medicine, New York, NY (E.X.); and Inivata, Cambridge, England (G.J.).
Chris R KelseyFrom the Departments of Radiation Oncology (K.J.L., M.N.C., C.D.J., J.W., Y.C., C.W., C.R.K., F.F.Y.), Radiology (K.J.L.), Biostatistics and Bioinformatics (J.G.), and Medicine (A.H.), Duke University School of Medicine, 2301 Erwin Rd, Durham, NC 27710; Department of Electrical and Computer Engineering, Duke University Pratt School of Engineering, Durham, NC (K.J.L.); Radiology Medical Group of Napa, Napa, Calif (M.N.C.); Department of Radiation Oncology, Columbia University School of Medicine, New York, NY (E.X.); and Inivata, Cambridge, England (G.J.).
Fang-Fang YinFrom the Departments of Radiation Oncology (K.J.L., M.N.C., C.D.J., J.W., Y.C., C.W., C.R.K., F.F.Y.), Radiology (K.J.L.), Biostatistics and Bioinformatics (J.G.), and Medicine (A.H.), Duke University School of Medicine, 2301 Erwin Rd, Durham, NC 27710; Department of Electrical and Computer Engineering, Duke University Pratt School of Engineering, Durham, NC (K.J.L.); Radiology Medical Group of Napa, Napa, Calif (M.N.C.); Department of Radiation Oncology, Columbia University School of Medicine, New York, NY (E.X.); and Inivata, Cambridge, England (G.J.).
Duke University · US
Funding
No grant is acknowledged in the PubMed record.
Abstract
The radiologic appearance of locally advanced lung cancer may be linked to molecular changes of the disease during treatment, but characteristics of this phenomenon are poorly understood. Radiomics, liquid biopsy of cell-free DNA (cfDNA), and next-generation sequencing of circulating tumor DNA (ctDNA) encode tumor-specific radiogenomic expression patterns that can be probed to study this problem. Preliminary findings are reported from a radiogenomic analysis of CT imaging, cfDNA, and ctDNA in 24 patients (median age, 64 years; range, 49-74 years) with stage III lung cancer undergoing chemoradiation on a prospective pilot study (NCT00921739) between September 2009 and September 2014. Unsupervised clustering of radiomic signatures resulted in two clusters that were associated with ctDNA
Indexed as
Cell-Free Nucleic AcidsLung NeoplasmsAgedBiomarkers, TumorHumansMiddle AgedPilot ProjectsProspective StudiesTomography, X-Ray ComputedBiomarkers, TumorCell-Free Nucleic AcidsComputer Applications-3DCT-QuantitativeLungOncologyOutcomes AnalysisRadiation TherapyTumor Response
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Registered trials
NCT00921739ClinicalTrials.gov
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.