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Oncology NEWS International. Vol. 16 No. 4
 

CT Lung Screens: No Lives Saved

April 1, 2007

NEW YORK—Although CT screening increases the rates of lung cancer diagnosis and treatment among long-time smokers, data from three studies, individually and combined, show no evidence that such scanning reduces deaths from the disease (JAMA 297:953-961, 2007). "Ours is the first study to ask whether detecting very small growths in the lung by CT is the same as intercepting cancers before they spread and become incurable," said first author Peter B. Bach, MD, of Memorial Sloan-Kettering Cancer Center. "We found an answer, and it was 'No.' Early detection and additional treatment did not save lives but did subject patients to invasive and possibly unnecessary treatments."

The authors noted that CT screening carries risks. If repeated yearly, the total radiation exposure becomes significant, and false-positive results may lead to further testing at higher radiation levels and lung biopsies. They called on physicians to await the outcome of two large, randomized, controlled trials of CT scans in high-risk individuals—the National Lung Screening Trial in the United States and the NELSON Trial in Europe—before rushing patients to CT screening.

The researchers analyzed data from 3,246 high-risk individuals who had enrolled in one of three single-arm studies that used state-of-the-art multi-detector CT machines to evaluate the technology's value as a screening tool for lung cancer. Each study provided participants an initial scan at entry and then an annual scan for at least 3 years thereafter.

The enrollees had a median age of 60.1 years and 1,917 (59%) were male. Their median years of smoking cigarettes was 39.1 years. None of the study members had a prior history of lung cancer or symptoms suggesting the disease.

The frequency of lung cancer observed in the three studies was compared to an estimate of risk derived from two validated models developed by Dr. Bach and senior author Colin B. Begg, PhD, chairman of epidemiology and biostatistics at Memorial Sloan-Kettering. One model estimated the risk of being diagnosed with lung cancer, and the other predicted the risk of dying of the disease.

At a median follow-up of 3.9 years, 144 participants were diagnosed with non-small-cell or small-cell lung cancers, compared with 44.5 diagnoses predicted by the model (P < .001). Of the 144 cancers, 42 were advanced vs 33.4 predicted by the model (not significant). Of the diagnosed patients, 109 had a resection, compared with the 10.9 surgeries predicted. Of the 144 diagnosed patients, 38 died, compared with 38.8 predicted by the model. "There was no evidence that CT screening reduced the risk of death due to lung cancer in any of the studies individually or combined," Dr. Bach and his colleagues wrote.

 

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Vantage Point

Why Results Differ From Those of I-ELCAP

WILLIAM C. BLACK, MD, and JOHN A. BARON, MD — In an editorial, Drs. Black and Baron, of Dartmouth, noted that results of the new analysis "are in stark contrast to the recent International I-ELCAP study, which reported that low-dose CT screening results in a 10-year survival of 88% for patients with stage I disease."

The most likely explanation, they said, is the difference in the primary outcomes of the two studies—mortality in the new analysis vs survival in I-ELCAP. "While these outcome measures are often mistaken to be complementary, prolonged survival in cases need not imply reduced mortality in the population," they wrote.

Case survival can be affected by three early detection biases that do not influence mortality in the population, they said: lead-time bias, when disease is detected earlier but death is not delayed; length bias, when screening preferentially detects slowly progressive disease; and overdiagnosis, when screening detects disease that would not otherwise become clinically evident.

"Because of the presence of a simulated control group, the measurement of mortality, and the completeness of the outcome ascertainment, the study by Bach et al more directly addresses the population effect of CT screening than does I-ELCAP," they concluded.






 
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