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Lung cancer screening with computer aided detection chest radiography: design and results of a randomized, controlled trial.

PLoS One. 2013;8(3):e59650

Authors: Mazzone PJ, Obuchowski N, Phillips M, Risius B, Bazerbashi B, Meziane M

Abstract
INTRODUCTION: The sensitivity of CT based lung cancer screening for the detection of early lung cancer is balanced by the high number of benign lung nodules identified, the unknown consequences of radiation from the test, and the potential costs of a CT based screening program. CAD chest radiography may improve the sensitivity of standard chest radiography while minimizing the risks of CT based screening.
METHODS: Study subjects were age 40-75 years with 10+ pack-years of smoking and/or an additional risk for developing lung cancer. Subjects were randomized to receive a PA view chest radiograph or placebo control (went through the process of being imaged but were not imaged). Images were reviewed first without then with the assistance of CAD. Actionable nodules were reported and additional evaluation was tracked. The primary outcome was the rate of developing symptomatic advanced stage lung cancer.
RESULTS: 1,424 subjects were enrolled. 710 received a CAD chest radiograph, 29 of whom were found to have an actionable lung nodule on prevalence screening. Of the 15 subjects who had a chest CT performed for additional evaluation, a lung nodule was confirmed in 4, 2 of which represented lung cancer. Both of the cancers were seen by the radiologist unaided and were identified by the CAD chest radiograph. The cumulative incidence of symptomatic advanced lung cancer was 0.42 cases per 100 person-years in the control arm; there were no events in the screening arm.
CONCLUSIONS: Further evaluation is necessary to determine if CAD chest radiography has a role as a lung cancer screening tool. ClinicalTrials.gov identifier NCT01663155.

PMID: 23527241 [PubMed - in process]

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Physical activity and the risk of developing lung cancer among smokers: A meta-analysis.

J Sci Med Sport. 2013 Mar 22;

Authors: Buffart LM, Singh AS, van Loon EC, Vermeulen HI, Brug J, Chinapaw MJ

Abstract
OBJECTIVE: To investigate the relationship between physical activity and lung cancer among smokers and whether this relationship differed according to physical activity intensity, smoking status, and gender. DESIGN: Meta-analysis. METHODS: A computerized bibliographical search was conducted in five databases. Study inclusion criteria were: (i) the study population was not diagnosed with lung cancer at baseline; (ii) the study provided information concerning the effect size of physical activity on the risk of developing lung cancer in smokers; and (iii) the study distinguished different physical activity intensity levels. Two authors independently extracted data and assessed the methodological quality. Pooled rate ratios (RR) were calculated for all data, and for subgroups of physical activity intensity, smoking status, and gender. RESULTS: Pooled RRs of 7 cohort studies showed that physical activity was associated with a reduced risk of lung cancer in smokers (RR=0.82, 95% CI=0.77; 0.87). We did not find clear dose-response relationship regarding exercise or smoking intensity, i.e. high levels of physical activity did not show a higher risk reduction than moderate physical activity levels, and the association between physical activity and risk reduction did not differ between heavy and light smokers. The reduced risk associated with physical activity was greater in women than in men (p=0.03), but this finding was based on only one study that reported data on women. CONCLUSION: Results of this meta-analysis indicate that leisure time physical activity is associated with reduced risk of developing lung cancer among smokers. Future studies should provide insight into a potential dose-response relationship, and should use reliable and valid physical activity measurements.

PMID: 23528254 [PubMed - as supplied by publisher]

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Aetiology, genetics and prevention of secondary neoplasms in adult cancer survivors.

Nat Rev Clin Oncol. 2013 Mar 26;

Authors: Travis LB, Wahnefried WD, Allan JM, Wood ME, Ng AK

Abstract
Second and higher-order malignancies now comprise about 18% of all incident cancers in the USA, superseding first primary cancers of the breast, lung, and prostate. The occurrence of second malignant neoplasms (SMN) is influenced by a myriad of factors, including the late effects of cancer therapy, shared aetiological factors with the primary cancer (such as tobacco use, excessive alcohol intake, and obesity), genetic predisposition, environmental determinants, host effects, and combinations of factors, including gene-environment interactions. The influence of these factors on SMN in survivors of adult-onset cancer is reviewed here. We also discuss how modifiable behavioural and lifestyle factors may contribute to SMN, and how these factors can be managed. Cancer survivorship provides an opportune time for oncologists and other health-care providers to counsel patients with regard to health promotion, not only to reduce SMN risk, but to minimize co-morbidities. In particular, the importance of smoking cessation, weight control, physical activity, and other factors consonant with adoption of a healthy lifestyle should be consistently emphasized to cancer survivors. Clinicians can also play a critical role by endorsing genetic counselling for selected patients and making referrals to dieticians, exercise trainers, and others to assist with lifestyle change interventions.

PMID: 23529000 [PubMed - as supplied by publisher]

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Cancer Cachexia in the Age of Obesity: Skeletal Muscle Depletion Is a Powerful Prognostic Factor, Independent of Body Mass Index.

J Clin Oncol. 2013 Mar 25;

Authors: Martin L, Birdsell L, Macdonald N, Reiman T, Clandinin MT, McCargar LJ, Murphy R, Ghosh S, Sawyer MB, Baracos VE

Abstract
PURPOSEEmerging evidence suggests muscle depletion predicts survival of patients with cancer. PATIENTS AND METHODSAt a cancer center in Alberta, Canada, consecutive patients with cancer (lung or GI; N = 1,473) were assessed at presentation for weight loss history, lumbar skeletal muscle index, and mean muscle attenuation (Hounsfield units) by computed tomography (CT). Univariate and multivariate analyses were conducted. Concordance (c) statistics were used to test predictive accuracy of survival models.ResultsBody mass index (BMI) distribution was 17% obese, 35% overweight, 36% normal weight, and 12% underweight. Patients in all BMI categories varied widely in weight loss, muscle index, and muscle attenuation. Thresholds defining associations between these three variables and survival were determined using optimal stratification. High weight loss, low muscle index, and low muscle attenuation were independently prognostic of survival. A survival model containing conventional covariates (cancer diagnosis, stage, age, performance status) gave a c statistic of 0.73 (95% CI, 0.67 to 0.79), whereas a model ignoring conventional variables and including only BMI, weight loss, muscle index, and muscle attenuation gave a c statistic of 0.92 (95% CI, 0.88 to 0.95; P < .001). Patients who possessed all three of these poor prognostic variables survived 8.4 months (95% CI, 6.5 to 10.3), regardless of whether they presented as obese, overweight, normal weight, or underweight, in contrast to patients who had none of these features, who survived 28.4 months (95% CI, 24.2 to 32.6; P < .001). CONCLUSIONCT images reveal otherwise occult muscle depletion. Patients with cancer who are cachexic by the conventional criterion (involuntary weight loss) and by two additional criteria (muscle depletion and low muscle attenuation) share a poor prognosis, regardless of overall body weight.

PMID: 23530101 [PubMed - as supplied by publisher]