Evidence map›Paper›PMID 38159298›Full record

ArticleMedical physics2024

Pulmonary circulatory system characteristics are associated with future lung cancer risk.

Jiantao Pu, Andriy Bandos, Tong Yu, Renwei Wang, Jian-Min Yuan, James Herman, David Wilson

Open access · greenAbstract read
In one paragraph

Article in Medical physics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 33% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 2 institutions in 1 country.

Jiantao PuDepartment of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Andriy BandosDepartment of Biostatistics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Tong YuDepartment of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Renwei WangCancer Epidemiology and Prevention Program, UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania, USA.
Jian-Min YuanCancer Epidemiology and Prevention Program, UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania, USA.
James HermanDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
David WilsonCancer Epidemiology and Prevention Program, UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania, USA.
University of Pittsburgh · USUPMC Hillman Cancer Center · US

Funding

VECTOR CORE FACILITYP30CA047904 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JOHN C. BYRD · 1988 to 2026
$158.0M
Clinical Validation Center for Lung Cancer Early DetectionU01CA271888 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI HANASH, SAMIR M · 2022 to 2025
$4.9M
Macro-vasculature: A Novel Image Biomarker of Lung CancerR01CA237277 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PU, JIANTAO · 2020 to 2024
$2.8M
Development and Validation of a Multimodal Ultrasound- Based Biomarker for Myofascial PainR61AT012282 · NCCIH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KIM, KANG, PU, JIANTAO · 2022 to 2022
$2.2M
NCCIH NIH HHS R61 AT012282NCI NIH HHS P30 CA047904NCI NIH HHS R01 CA237277NCI NIH HHS U01 CA271888NIH HHS P30CA047904NIH HHS R01CA237277NIH HHS R61AT012282NIH HHS U01CA271888
6 · The paper itself

Abstract

backgroundMost of the subjects eligible for annual low-dose computed tomography (LDCT) lung screening will not develop lung cancer for their life. It is important to identify novel biomarkers that can help identify those at risk of developing lung cancer and improve the efficiency of LDCT screening programs.

objectiveThis study aims to investigate the association between the morphology of the pulmonary circulatory system (PCS) and lung cancer development using LDCT scans acquired in the screening setting.

methodsWe analyzed the PLuSS cohort of 3635 lung screening patients from 2002 to 2016. Circulatory structures were segmented and quantified from LDCT scans. The time from the baseline CT scan to lung cancer diagnosis, accounting for death, was used to evaluate the prognostic ability (i.e., hazard ratio (HR)) of these structures independently and with demographic factors. Five-fold cross-validation was used to evaluate prognostic scores.

resultsIntrapulmonary vein volume had the strongest association with future lung cancer (HR = 0.63, p < 0.001). The joint model of intrapulmonary vein volume, age, smoking status, and clinical emphysema provided the strongest prognostic ability (HR = 2.20, AUC = 0.74). The addition of circulatory structures improved risk stratification, identifying the top 10% with 28% risk of lung cancer within 15 years.

conclusionPCS characteristics, particularly intrapulmonary vein volume, are important predictors of lung cancer development. These factors significantly improve prognostication based on demographic factors and noncirculatory patient characteristics, particularly in the long term. Approximately 10% of the population can be identified with risk several times greater than average.

Indexed as

Cardiovascular SystemLung NeoplasmsPulmonary EmphysemaEarly Detection of CancerHumansLungMass ScreeningSmokingimage biomarkerlow dose CTlung cancer riskpulmonary circulatory system

Identifiers

PMID38159298
PMCPMC10994761
OpenAlexW4390443060

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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.