Is Smaller Better? |
|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| |
ARTICLE |
|---|
|
|
|---|
Healthcare screening is intended to delay or prevent by early detection the adverse consequences of advanced disease (1). Successful screening programs 1) diagnose early disease in asymptomatic patients, 2) detect diseases that respond better to early versus late treatment, and 3) provide benefits in treating the small number of patients diagnosed with disease, outweighing the harm associated with screening a large number of healthy individuals. The biologic nature of lung cancer would appear to lend itself to fulfilling the conditions for successful screening. It is a common malignancy that presents a tremendous healthcare burden among high-risk patients who are identifiable by their smoking history. Moreover, the prognosis of lung cancer improves when patients are diagnosed and treated in the earliest stage (stage 1A) of disease.
Unfortunately, four prospective randomized studies that enrolled nearly 38,000 high-risk patients failed to demonstrate any improvement in cancer-related mortality from screening with chest radiographs and sputum cytologic analyses (1, 2). The advent of low-dose spiral computed tomography (CT) has reignited interest in lung cancer screening because it can detect smaller nodules than conventional radiography can. In the current issue (pp. 508-513) of the American Journal of Respiratory and Critical Care Medicine, Swensen and coworkers report the Mayo Clinic's experience with lung cancer screening using low-dose spiral CT and sputum cytologic analysis combined with an evaluation algorithm (3). The study provides insight into how spiral CT might perform in fulfilling the three conditions of a successful screening program.
First, can spiral CT diagnose early disease? The Swensen study demonstrates what we would expect from CT scanning - many of the prevalence and incidence nodules identified in 66% of screened persons were smaller than the detection threshold of conventional radiography. Of the 21 patients with cancer detected by CT, nine had chest radiographs of which only five had identified malignant nodules. These observations concur with findings from three other studies that spiral CT can detect small lung cancers missed by standard radiographs (4).
Unfortunately, the study does not permit a precise estimate of the diagnostic sensitivity of CT because only one radiologist interpreted each scan. Without a measure of inter-observer variability, considerable errors in interpretation could go undetected, considering that errors occur in the interpretation of 20 to 50% of conventional radiographs (5). The Lung Cancer Screening Workshop emphasizes the importance of measuring inter-observer performance because it can dominate differences between assessed technologies and screening results (6). The observation that 26% of nodules were identifiable only in retrospect on baseline studies suggests a significant rate of error in the Swensen study.
Second, does the ability of CT to detect smaller lung cancers really matter? We are not convinced that it does. No evidence exists that prognosis varies with the size of a primary lung cancer among patients with stage 1A disease. On the contrary, tumors as small as 1 to 2 mm have the capacity to metastasize even before angiogenesis occurs (4), and patients with 0.5 cm cancers have a similar clinical course (7, 8) to those with 3 cm cancers. Because of the rapid doubling times of some lung cancers, previous screening trials have succumbed to a high incidence of "interval tumors" wherein patients present with incurable disease between screening examinations.
Swensen and coworkers mention the possibility of "overdiagnosis" of cancer by CT screening, which deserves further
comment. Overdiagnosis occurs when screening detects cancers that would not have affected patients' lives if they had
never been diagnosed. Overdiagnosed cancers
also termed
`pseudodisease'
have the morphology of malignant tumors
but grow so slowly that affected patients are more likely to die
from other health conditions. Detection of cancer in such patients exposes them to risks of unnecessary cancer therapy and
offers no potential for clinical benefit. Autopsy series support
the existence of indolent lung cancer by their frequent detection of lung cancers that were undiagnosed ante mortem (9).
Overdiagnosis represents the most likely reason that previous
screening studies observed a paradoxical 11% relative increase in lung cancer mortality in screened as compared with unscreened patients, which may result from treatment of indolent lesions (2, 8, 10). The prevalence of lung cancer in the study by Swensen and coworkers was about five times higher
than the incidence, which supports the existence of overdiagnosis bias.
Third, do the benefits of early detection outweigh the inherent risks of CT screening? Possibly not, if we consider that 7 of 29 resected nodules were benign in the Swensen study. This high rate of surgery for benign disease contrasts sharply with the Early Lung Cancer Action Project (ELCAP) study, which biopsied only one benign and 27 malignant nodules in 1,000 persons screened by CT (11). The ELCAP investigators emphasized that the success of CT screening depends as much on the algorithm used to manage indeterminate nodules as on the imaging technology itself. Unfortunately, we have no information from the Swensen study as to how many referring physicians, who made patient management decisions, used the study algorithm to evaluate indeterminate nodules. It may be that loose adherence to the algorithm by practicing physicians combined with a high rate of unnecessary resections for benign disease portends what would occur if CT screening became routine clinical practice.
The ELCAP study provided data for a cost-effectiveness analysis of CT screening, which estimates program costs would be as high as $93,000 per life saved (12). The greater number of benign lesions resected in the Swensen study would markedly diminish the cost-effectiveness of CT screening and expose more patients to risks from diagnostic and therapeutic interventions.
Where do we go from here? Although the impressive accomplishment of Swensen and coworkers in screening 1,520 patients provides an important and necessary initial step, the role of lung cancer screening must be determined in randomized clinical trials that incorporate multiple healthcare outcomes. The Lung Screening Study (LSS), sponsored by the National Cancer Institute, is now underway and will randomize high-risk patients to screening CT or conventional chest radiographs. Such trials have assumed even greater significance now that doubts have surfaced over the benefits of screening mammography (13, 14). The dialogue surrounding these emerging doubts about screening for breast cancer, which has become ingrained in clinical practice and Western culture, sounds uncomfortably similar to the initial debate over the potential benefits of CT screening for lung cancer (15, 16). Until the results of the LSS study appear, sometime after 2005, we know from the Swensen and ELCAP studies that screening CT can detect small lung cancers, but we are yet to learn if smaller is better.
| |
References |
|---|
|
|
|---|
1.
Black WC,
Welch HG.
Screening for disease.
AJR Am J Roentgenol
1997;
168:
3-11
2. Manser RL, Irving LB, Stone C, Byrnes G, Abramson M, Campbell D. eds. Screening for lung cancer (Cochrane Review), The Cochrane Library. 4 ed. Oxford: Update Software, 2001.
3.
Swensen SJ,
Jett JR,
Sloan JA,
Midthun DE,
Hartman TE,
Sykes A-M,
Aughenbaugh GL,
Zink FE,
Hillman SL,
Noetzel GR, et al
.
Screening
for lung cancer with low-dose spiral computed tomography.
Am J
Respir Crit Care Med
2002;
165:
508-513
4.
Patz EF Jr,,
Black WC,
Goodman PC.
CT Screening for Lung Cancer:
Not Ready for Routine Practice.
Radiology
2001;
221:
587-591
5.
Woodring JH.
Pitfalls in the radiologic diagnosis of lung cancer.
AJR
Am J Roentgenol
1990;
154:
1165-1175
6. Sullivan DC. Congressional update: Report from the biomedical imaging program of the National Cancer Institute. Research recommendations from a lung cancer screening workshop. Acad Radiol 2001; 8: 942-943 [Medline].
7.
Patz EF Jr,,
Rossi S,
Harpole DH Jr,,
Herndon JE,
Goodman PC.
Correlation of tumor size and survival in patients with stage IA non- small
cell lung cancer.
Chest
2000;
117:
1568-1571
8.
Ellis JR,
Gleeson FV.
Lung cancer screening.
Br J Radiol
2001;
74:
478-485
9. Eddy DM. Screening for lung cancer. Ann Intern Med 1989; 111: 232-237 .
10. Marcus PM. Lung cancer screening: an update. J Clin Oncol 2001; 19: 83S-86S .
11. Henschke CI, McCauley DI, Yankelevitz DF, Naidich DP, McGuinness G, Miettinen OS, Libby DM, Pasmantier MW, Koizumi J, Altorki NK, et al . Early Lung Cancer Action Project: overall design and findings from baseline screening. Lancet 1999; 354: 99-105 [Medline].
12. Marshall D, Simpson KN, Earle CC, Chu CW. Economic decision analysis model of screening for lung cancer. Eur J Cancer 2001; 37: 1759-1767 .
13. Horton R. Screening mammography-an overview revisited. Lancet 2001; 358: 1284-1285 [Medline].
14. Olsen O, Gotzsche PC. Cochrane review on screening for breast cancer with mammography. Lancet 2001; 358: 1340-1342 [Medline].
15.
Jett JR.
Spiral computed tomography screening for lung cancer is ready
for prime time.
Am J Respir Crit Care Med
2001;
163:
812-815
16.
Patz EF Jr,,
Goodman PC.
Low-dose spiral computed tomography screening for lung cancer: not ready for prime time.
Am J Respir Crit Care
Med
2001;
163:
813-814
This article has been cited by other articles:
![]() |
P. Das, A. K. Ng, C. C. Earle, P. M. Mauch, and K. M. Kuntz Computed tomography screening for lung cancer in Hodgkin's lymphoma survivors: decision analysis and cost-effectiveness analysis Ann. Onc., May 1, 2006; 17(5): 785 - 793. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. K. Ganti and J. L. Mulshine Lung cancer screening. Oncologist, May 1, 2006; 11(5): 481 - 487. [Abstract] [Full Text] [PDF] |
||||
![]() |
L. Kessler, S. D. Ramsey, S. Tunis, and S. D. Sullivan Clinical Use Of Medical Devices In The 'Bermuda Triangle' Health Aff., January 1, 2004; 23(1): 200 - 207. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. Wallace Update in Pulmonary Diseases Ann Intern Med, September 16, 2003; 139(6): 499 - 504. [Full Text] [PDF] |
||||
![]() |
M. J. Tobin Chronic Obstructive Pulmonary Disease, Pollution, Pulmonary Vascular Disease, Transplantation, Pleural Disease, and Lung Cancer in AJRCCM 2002 Am. J. Respir. Crit. Care Med., February 1, 2003; 167(3): 356 - 370. [Full Text] [PDF] |
||||
![]() |
P. B. Bach, M. J. Kelley, R. C. Tate, and D. C. McCrory Screening for Lung Cancer: A Review of the Current Literature Chest, January 1, 2003; 123 (2009): 72S - 82S. [Abstract] [Full Text] [PDF] |
||||
![]() |
L. Berlin Liability of Performing CT Screening for Coronary Artery Disease and Lung Cancer Am. J. Roentgenol., October 1, 2002; 179(4): 837 - 842. [Full Text] [PDF] |
||||
![]() |
Screening for Lung Cancer by Spiral CT: The Controversy Continues Journal Watch (General), March 12, 2002; 2002(312): 1 - 1. [Full Text] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
| Proc. Am. Thorac. Soc. | Am. J. Respir. Cell Mol. Biol. |