Risk-Based lung cancer screening: A systematic review

Toumazis, Iakovos; Bastani, Mehrad; Han, Summer S.; Plevritis, Sylvia K.

doi:10.1016/j.lungcan.2020.07.007

Cited by 152 publications

(124 citation statements)

References 138 publications

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“…4 The National Comprehensive Cancer Network recommendations on lung cancer screening. 24,25 Therefore, in the last few years, numerous risk prediction models have been published for lung cancer screening. However, more research is needed to optimize the risk-based lung cancer screening.…”

Section: Discussionmentioning

confidence: 99%

“…However, more research is needed to optimize the risk-based lung cancer screening. 24 In this study, three prediction models were developed to predict the probability of malignancy of pulmonary lesions and pleural effusion. Internal and external validations for each model were also conducted, and M1…”

Section: Discussionmentioning

confidence: 99%

“…30 Furthermore, our models differed from other models in many ways, such as in target population and parameters. [18][19][20][21][22][23][24][25][26]31,32 On one hand, our models focused on patients with lung diseases and pleural effusion, in which 73.6% of cases were adenocarcinomatous in the lung cancer group, and 66.1% of subjects had tuberculosis in the benign group. This composition ratio is similar to that of epidemiological distribution of lung diseases with pleural effusion.…”

Section: Discussionmentioning

confidence: 99%

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Development of risk prediction models for lung cancer based on tumor markers and radiological signs

et al. 2020

Clinical Laboratory Analysis

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Lung cancer is one of the leading causes of cancer-related deaths worldwide, accounting for about 787,000 deaths each year in China. 1,2 Many patients are identified in the advanced stages of lung cancer during initial diagnosis. The age-standardized 5-year relative survival of lung cancer was only 19.7% in China, but if diagnosed at an early stage, then surgical resection offers a favorable prognosis. 3-5 There are several methods for diagnosing lung cancer. The most commonly recommended method for screening lung cancer is computed tomography (CT), especially the low-dose CT (LDCT). Early screening of lung cancer through LDCT decreases the mortality rate by 20%. 6 Fluorodeoxyglucose positron emission tomography

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Development of risk prediction models for lung cancer based on tumor markers and radiological signs

et al. 2020

Clinical Laboratory Analysis

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“…Although the predictive value of nodule-type information alone appears to be relatively small, it can be significant when applied to large numbers. To the best of our knowledge, no lung cancer risk model has yet considered the number of SSNs and solid nodules as variables [ 28 ]. Schreuder et al [ 23 ] included the “presence of non-solid nodule” and “presence of part-solid nodule” in their parsimonious model for determining whole scan-based risk, but did not count the SSNs.…”

Section: Discussionmentioning

confidence: 99%

CT-Detected Subsolid Nodules: A Predictor of Lung Cancer Development at Another Location?

Schreuder

Prokop

Scholten

et al. 2021

Cancers

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The purpose of this case–cohort study was to investigate whether the frequency and computed tomography (CT) features of pulmonary nodules posed a risk for the future development of lung cancer (LC) at a different location. Patients scanned between 2004 and 2012 at two Dutch academic hospitals were cross-linked with the Dutch Cancer Registry. All patients who were diagnosed with LC by 2014 and a random selection of LC-free patients were considered. LC patients who were determined to be LC-free at the time of the scan and all LC-free patients with an adequate scan were included. The nodule count and types (solid, part-solid, ground-glass, and perifissural) were recorded per scan. Age, sex, and other CT measures were included to control for confounding factors. The cohort included 163 LC patients and 1178 LC-free patients. Cox regression revealed that the number of ground-glass nodules and part-solid nodules present were positively correlated to future LC risk. The area under the receiver operating curve of parsimonious models with and without nodule type information were 0.827 and 0.802, respectively. The presence of subsolid nodules in a clinical setting may be a risk factor for future LC development in another pulmonary location in a dose-dependent manner. Replication of the results in screening cohorts is required for maximum utility of these findings.

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“…The most common disease treated by thoracic surgery is lung cancer. Worldwide, more than 2 million people were diagnosed with lung cancer in 2018 [ 1 , 2 , 3 ]. Thoracic surgery is also required for the removal of benign lung tumors, the diagnosis of inflammatory lung diseases, and the removal of pleural and chest wall tumors [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Functional Adhesion of Pectin Biopolymers to the Lung Visceral Pleura

et al. 2021

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Pleural injuries and the associated “air leak” are the most common complications after pulmonary surgery. Air leaks are the primary reason for prolonged chest tube use and increased hospital length of stay. Pectin, a plant-derived heteropolysaccharide, has been shown to be an air-tight sealant of pulmonary air leaks. Here, we investigate the morphologic and mechanical properties of pectin adhesion to the visceral pleural surface of the lung. After the application of high-methoxyl citrus pectin films to the murine lung, we used scanning electron microscopy to demonstrate intimate binding to the lung surface. To quantitatively assess pectin adhesion to the pleural surface, we used a custom adhesion test with force, distance, and time recordings. These assays demonstrated that pectin–glycocalyceal tensile adhesive strength was greater than nanocellulose fiber films or pressure-sensitive adhesives (p < 0.001). Simultaneous videomicroscopy recordings demonstrated that pectin–glycocalyceal adhesion was also stronger than the submesothelial connective tissue as avulsed surface remnants were visualized on the separated pectin films. Finally, pleural abrasion and hyaluronidase enzyme digestion confirmed that pectin binding was dependent on the pleural glycocalyx (p < 0.001). The results indicate that high methoxyl citrus pectin is a promising sealant for the treatment of pleural lung injuries.

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Risk-Based lung cancer screening: A systematic review

Cited by 152 publications

References 138 publications

Development of risk prediction models for lung cancer based on tumor markers and radiological signs

Development of risk prediction models for lung cancer based on tumor markers and radiological signs

CT-Detected Subsolid Nodules: A Predictor of Lung Cancer Development at Another Location?

Functional Adhesion of Pectin Biopolymers to the Lung Visceral Pleura

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