Lung Cancer Screening, Version 1.2015

Wood, Douglas E.; Kazerooni, Ella A.; Baum, Scott; Dransfield, Mark T.; Eapen, Georgie A.; Ettinger, David S.; Hou, Lifang; Jackman, David M.; Klippenstein, Donald; Kumar, Rohit; Lackner, Rudy P.; Leard, Lorriana E.; Leung, Ann N.; Makani, Samir; Massion, Pierre P.; Meyers, Bryan F.; Otterson, Gregory A.; Peairs, Kimberly S.; Pipavath, Sudhakar; Pratt-Pozo, Christie; Reddy, Chakravarthy; Reid, Mary E.; Rotter, A; Sachs, Peter B.; Schabath, Matthew B.; Sequist, Lecia V.; Tong, Betty C.; Travis, William D.; Yang, Stephen C.; Gregory, Kristina M.; Hughes, Miranda

doi:10.6004/jnccn.2015.0006

Cited by 109 publications

(53 citation statements)

References 117 publications

(121 reference statements)

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“…145 However, screening for lung cancer with low-dose computed tomography (LDCT) in high-risk populations, which is demonstrated to reduce mortality by 20%, 146,147 has started to receive approval by major insurers in the United States since 2015. In countries that can afford to implement screening in a large proportion of high-risk populations, it is expected that lung cancer incidence, including a higher proportion of early-stage lung cancer, may increase while mortality may decrease, due to the survival advantages of early-stage cancers.…”

Section: Resultsmentioning

confidence: 99%

The International Epidemiology of Lung Cancer: Latest Trends, Disparities, and Tumor Characteristics

Cheng

Cramb

Baade

et al. 2016

Journal of Thoracic Oncology

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518

392

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Introduction We aim to update global lung cancer epidemiology and describe changing trends and disparities. Methods We presented country-specific incidence and mortality from GLOBOCAN 2012, by region and socioeconomic factors via the Human Development Index (HDI). Between- and within-country incidence by histological type was analyzed from Cancer Incidence in Five Continents Volume X (IARC). Trend analyses including the IARC data, cancer registries, and the WHO Mortality database were conducted using Joinpoint regression. Survival was compared between and within countries, and by histology. Results In 2012, there were 1.82 and 1.59 million new cases and deaths of lung cancer worldwide, respectively. Incidence was highest in very high HDI countries and lowest in low HDI countries (42.2 vs. 7.9/100,000 for males and 21.8 vs. 3.1/100,000 for females, respectively). In most countries with a very high HDI, as male incidence decreased gradually (ranging from −0.3% in Spain to −2.5% in the USA each year), female incidence continued to increase (by 1.4% each year in Australia to 6.1% in recent years in Spain). While histology varied between countries, adenocarcinoma was more common than squamous cell carcinoma, particularly among females (e.g., in Chinese females, the adenocarcinoma-to-squamous cell carcinoma ratio=6.6). Five-year relative survival varied from 2% (Libya) to 30% (Japan), with substantial within-country differences. Conclusion Lung cancer will continue to be a major health problem well through the first half of this century. Preventive strategies, particularly tobacco control, tailored to populations at highest risk are key to reduce the global burden of lung cancer.

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Section: Resultsmentioning

confidence: 99%

The International Epidemiology of Lung Cancer: Latest Trends, Disparities, and Tumor Characteristics

Cheng

Cramb

Baade

et al. 2016

Journal of Thoracic Oncology

Self Cite

518

392

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“…Populations at high risk are considered as individuals aged 55–74 years, who have at least 30 pack-years and who have smoked up to the last 15 years 5,48. With advancing imaging technology and implantation of screening routines, a significant increase in the number of diagnosed lung lesions can be expected; consequently, more patients will need to go through evaluation of the findings in order to define whether they are malignant and post a threat to patient’s life 49.…”

Section: Potential Use Of Breath Analysis As Part Of Screening Programentioning

confidence: 99%

Exhaled breath analysis for the early detection of lung cancer: recent developments and future prospects

Nardi-Agmon¹,

Peled²

2017

LCTT

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In lung cancer, the prognosis and treatment options depend directly on tumor size and its spread at the time of diagnosis. There is therefore a constant search for methods that will allow early detection of cancerous lung nodules. With advancing imaging technology and implantation of screening routines in high-risk populations by low-dose computerized tomography, a significant increase in the number of diagnosed small peripheral lesions can be expected. While early detection of small cancerous lesions carries the benefit of wider treatment options and better prognosis, the process of obtaining a biopsy to confirm a cancerous tissue is not free of complications and bears inconveniences and stress to the patient. This review discusses the potential use of exhaled breath analysis as a simple, noninvasive tool for early detection of lung cancer and characterization of suspicious lung nodules.

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“…Low-dose computed tomography (LDCT) screening has shown to be capable of detecting lung cancer at an earlier stage [3] and is recommended for high-risk individuals [4] . The evidence is primarily from the National Lung Screening Trial (NLST), which showed a 20% reduction in mortality in the LDCT screening group compared to control arm [3] .…”

Section: Introductionmentioning

confidence: 99%

Performance comparison of quantitative semantic features and lung-RADS in the National Lung Screening Trial

Balagurunathan

Liu

et al. 2016

SPIE Proceedings

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Background: Lung-RADS is the new oncology classification guideline proposed by American College of Radiology (ACR), which provides recommendation for further follow up in lung cancer screening. However, only two features (solidity and size) are included in this system. We hypothesize that additional sematic features can be used to better characterize lung nodules and diagnose cancer. Objective: We propose to develop and characterize a systematic methodology based on semantic image traits to more accurately predict occurrence of cancerous nodules. Methods: 24 radiological image traits were systematically scored on a point scale (up to 5) by a trained radiologist, and lung-RADS was independently scored. A linear discriminant model was used on the semantic features to access their performance in predicting cancer status. The semantic predictors were then compared to lung-RADS classification in 199 patients (60 cancers, 139 normal controls) obtained from the National Lung Screening Trial. Result: There were different combinations of semantic features that were strong predictors of cancer status. Of these, contour, border definition, size, solidity, focal emphysema, focal fibrosis and location emerged as top candidates. The performance of two semantic features (short axial diameter and contour) had an AUC of 0.945, and was comparable to that of lung-RADS (AUC: 0.871). Conclusion: We propose that a semantics-based discrimination approach may act as a complement to the lung-RADS to predict cancer status.

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Lung Cancer Screening, Version 1.2015

Cited by 109 publications

References 117 publications

The International Epidemiology of Lung Cancer: Latest Trends, Disparities, and Tumor Characteristics

The International Epidemiology of Lung Cancer: Latest Trends, Disparities, and Tumor Characteristics

Exhaled breath analysis for the early detection of lung cancer: recent developments and future prospects

Performance comparison of quantitative semantic features and lung-RADS in the National Lung Screening Trial

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