Evidence map›Paper›PMID 36427313›Full record

ArticleScience advances2022

A tumor vasculature-based imaging biomarker for predicting response and survival in patients with lung cancer treated with checkpoint inhibitors.

Mehdi Alilou, Mohammadhadi Khorrami, Prateek Prasanna, Kaustav Bera, Amit Gupta, Vidya Sankar Viswanathan, Pradnya Patil, Priya Darsini Velu, Pingfu Fu, Vamsidhar Velcheti and 1 more

Abstract read
In one paragraph

Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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  14. Immuno-PET Imaging of CD93 Expression withMolecular pharmaceutics · 2024
    Article
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  17. Article
  18. Personalized prediction of immunotherapy response in lung cancer patients using advanced radiomics and deep learning.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Article
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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

11 authors.

Mehdi AlilouDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA.ORCID 0000-0002-0119-7322
Mohammadhadi KhorramiDepartment of Biomedical Engineering, Emory University, Atlanta, GA 30322, USA.ORCID 0000-0002-4141-8548
Prateek PrasannaDepartment of Biomedical Informatics, Stony Brook University, Stony Brook, NY 11790, USA.ORCID 0000-0002-3068-3573
Kaustav BeraDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA.ORCID 0000-0001-9831-6000
Amit GuptaUniversity Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, OH 44106, USA.ORCID 0000-0001-5345-6763
Vidya Sankar ViswanathanDepartment of Biomedical Engineering, Emory University, Atlanta, GA 30322, USA.
Pradnya PatilDepartment of Solid Tumor Oncology, Cleveland Clinic, Cleveland, OH 44106, USA.
Priya Darsini VeluPathology and Laboratory Medicine, Weill Cornell Medicine Physicians, New York, NY 10021, USA.ORCID 0000-0003-1652-5971
Pingfu FuDepartment of Population and Quantitative Health Sciences, CWRU, Cleveland, OH 44106, USA.ORCID 0000-0002-2334-5218
Vamsidhar VelchetiDepartment of Hematology and Oncology, NYU Langone Health, New York, NY 10016, USA.
Anant MadabhushiDepartment of Biomedical Engineering, Emory University, Atlanta, GA 30322, USA.ORCID 0000-0002-5741-0399

Funding

IMAT-ITCR Collaboration: Combining FIBI and topological data analysis: Synergistic approaches for tumor structural microenvironment explorationR21CA258493 · NCI · STATE UNIVERSITY NEW YORK STONY BROOK · PI CHEN, CHAO, PRASANNA, PRATEEK · 2022 to 2023
$467k
6 · The paper itself

Abstract

Tumor vasculature is a key component of the tumor microenvironment that can influence tumor behavior and therapeutic resistance. We present a new imaging biomarker, quantitative vessel tortuosity (QVT), and evaluate its association with response and survival in patients with non-small cell lung cancer (NSCLC) treated with immune checkpoint inhibitor (ICI) therapies. A total of 507 cases were used to evaluate different aspects of the QVT biomarkers. QVT features were extracted from computed tomography imaging of patients before and after ICI therapy to capture the tortuosity, curvature, density, and branching statistics of the nodule vasculature. Our results showed that QVT features were prognostic of OS (HR = 3.14, 0.95% CI = 1.2 to 9.68,

Identifiers

PMID36427313
PMCPMC9699671

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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.