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<strong>Screening</strong> <strong>for</strong> <strong>lung</strong> <strong>cancer</strong>: a <strong>review</strong><br />

Renee Manser<br />

Purpose of <strong>review</strong><br />

After the disappointing results of <strong>lung</strong> <strong>cancer</strong> screening trials<br />

conducted in the 1960s to the 1980s, a renewed interest in<br />

<strong>lung</strong> <strong>cancer</strong> screening emerged in the 1990s with the<br />

development of new technologies such as low-dose spiral CT.<br />

The literature regarding screening with biomarkers and CT<br />

continues to expand rapidly.<br />

Recent findings<br />

Although the specificity of CT screening is relatively poor, the<br />

sensitivity <strong>for</strong> the detection of early-stage <strong>cancer</strong>s, particularly<br />

adenocarcinoma, is considerably superior to that of chest<br />

radiography used in older screening trials. The results of<br />

uncontrolled cohort studies of CT screening are promising, but<br />

such studies are susceptible to screening biases such as<br />

overdiagnosis.<br />

Summary<br />

There is insufficient evidence to support widespread screening<br />

in current practice. However, randomized controlled trials are<br />

now being conducted to determine whether improved<br />

detection by CT will translate into reduced <strong>lung</strong> <strong>cancer</strong><br />

mortality. Alternative approaches to secondary prevention such<br />

as screening with biomarkers, autofluorescence<br />

bronchoscopy, and chemoprevention hold great promise <strong>for</strong><br />

the future but await further development and evaluation in<br />

prospective trials.<br />

Keywords<br />

mass screening, computed tomography, chest radiography,<br />

sputum cytology, <strong>lung</strong> neoplasms<br />

Curr Opin Pulm Med 10:266–271. © 2004 Lippincott Williams & Wilkins.<br />

Clinical Epidemiology and Health Service Evaluation Unit, Royal Melbourne<br />

Hospital, Victoria, Australia, and the Department of Respiratory Medicine, St.<br />

Vincent’s Hospital, Victoria, Australia<br />

Correspondence to Renee Manser, Clinical Epidemiology and Health Service<br />

Evaluation Unit, Ground Floor, Charles Connibere Building, Royal Melbourne<br />

Hospital, Grattan Street, Parkville 3050, Victoria, Australia<br />

Tel: +61 3 9342 8772; fax: +61 3 9342 7060; e-mail: ManserRL@mh.org.au<br />

Supported by a National Health and Medical Research Council postgraduate<br />

scholarship (scholarship number 201713).<br />

Current Opinion in Pulmonary Medicine 2004, 10:266–271<br />

Abbreviation<br />

RCT randomized controlled trial<br />

© 2004 Lippincott Williams & Wilkins<br />

1070-5287<br />

266<br />

Introduction<br />

Lung <strong>cancer</strong> remains a major public health problem in<br />

most industrialized countries [1,2]. Most <strong>lung</strong> <strong>cancer</strong>s are<br />

attributable to cigarette smoking, and primary prevention<br />

is a continuing priority. Increasingly, <strong>lung</strong> <strong>cancer</strong> is<br />

now occurring in ex-smokers [3]. Additional preventive<br />

strategies are needed to reduce the mortality from this<br />

epidemic. Whereas early <strong>lung</strong> <strong>cancer</strong> screening trials<br />

have yielded disappointing results, more sensitive<br />

screening techniques have been developed, including<br />

biomarkers and low-dose CT. Research progress has<br />

been most rapid with radiological approaches and randomized<br />

controlled trials (RCTs) of CT screening are<br />

currently being conducted. In the interim. debate<br />

continues over the potential cost effectiveness of CT<br />

screening and its appropriate use in contemporary clinical<br />

practice.<br />

<strong>Screening</strong> with plain chest radiography<br />

The efficacy of chest radiography screening <strong>for</strong> <strong>lung</strong> <strong>cancer</strong><br />

continues to be debated [4•,5•,6••]. A systematic<br />

<strong>review</strong> of controlled trials of <strong>lung</strong> <strong>cancer</strong> screening <strong>review</strong>ed<br />

the evidence from seven trials [6••,7]. In all<br />

studies, the control group received some type of screening.<br />

Five studies effectively compared more frequent<br />

chest radiography screening with less frequent chest radiography<br />

screening [8–12]. In the meta-analysis, more<br />

frequent chest radiograph screening was associated with<br />

an 11% relative increase in mortality from <strong>lung</strong> <strong>cancer</strong><br />

(relative risk 1.11, 95% confidence interval 1.00–1.23)<br />

[6••,8,10–12]. Although the possibility of harm from<br />

screening exists, the finding of increased mortality in the<br />

frequently screened group could be due to inadequate<br />

randomization resulting in population heterogeneity between<br />

the control and intervention groups. However, the<br />

trend to increased mortality was seen in all studies <strong>review</strong>ed.<br />

Another alternative explanation is that <strong>lung</strong> <strong>cancer</strong><br />

deaths could have been undetected or unreported in<br />

the control group and that some deaths in the intervention<br />

group due to comorbid disease were misclassified as<br />

death due to <strong>lung</strong> <strong>cancer</strong> [13,14]. None of the trials reported<br />

have adequately assessed the efficacy of annual<br />

chest radiograph screening compared with no screening,<br />

and this issue is currently being evaluated in the Prostate,<br />

Lung, Colorectal, and Ovarian Cancer <strong>Screening</strong><br />

Trial [15]. However, this trial has already attracted criticism<br />

<strong>for</strong> a failure to enroll high-risk groups [16].


Low-dose spiral computed<br />

tomography screening<br />

Bepler et al. [17••] have recently <strong>review</strong>ed several cohort<br />

studies (without historical controls) [18–24]. The <strong>review</strong>ers<br />

reported that CT screening resulted in a threefold<br />

higher detection rate and a fivefold increase in the rate of<br />

resectable <strong>cancer</strong>s relative to chest radiograph screening.<br />

However, CT screening appears to selectively detect adenocarcinomas,<br />

with an approximately twofold to threefold<br />

oversampling of this histologic subtype [17••]. This<br />

may reflect length-biased sampling, overdiagnosis bias,<br />

selection bias, or inadequate detection of endobronchial<br />

squamous cell carcinomas [25,26••].<br />

The specificity of CT screening is poor, ranging between<br />

89% and 49% in high-risk populations at baseline screening<br />

and being lowest with multislice CT [21,26••,27].<br />

There is no standard approach to the evaluation of most<br />

nodules detected by CT, most of which are small (5<br />

mm). Serial imaging can be used to limit the number of<br />

biopsies <strong>for</strong> benign disease, but benign nodules may<br />

show radiologic evidence of nodule growth, whereas<br />

some <strong>cancer</strong>s have long doubling times [26••,27,28]. In<br />

most studies reported, smaller indeterminate noncalcified<br />

nodules were monitored with repeat CT at 3 or 6<br />

months. Emerging evidence suggests that lesions less<br />

than 5 mm could be reimaged at 12 months to reduce the<br />

number of diagnostic evaluations [29•]. In one study,<br />

follow-up of nodules 5 mm or less was deferred until 12<br />

months [30••]. Six <strong>cancer</strong>s diagnosed at repeat screening<br />

were identified at baseline CT, but all were stage Iat<br />

diagnosis [30••]. In the same study, positron emission<br />

tomography was also used in the diagnostic algorithm,<br />

but this approach did not reduce the rate of benign biopsy<br />

results compared with other studies [30••].<br />

Current methods of evaluation and management of small<br />

nodules detected by CT require validation in long-term<br />

studies. Issues such as the frequency and duration of<br />

follow-up are yet to be resolved. Previous reports based<br />

on chest radiography show that some <strong>lung</strong> <strong>cancer</strong>s can<br />

appear stable <strong>for</strong> many years be<strong>for</strong>e growth is detected at<br />

serial follow-up [31,32]. Furthermore, slow growth of a<br />

primary tumor does not preclude metastatic spread [33].<br />

Growth can be more accurately detected by CT than by<br />

chest radiography [28]. However, even with serial CT<br />

examinations, it is likely that follow-up of more than 2<br />

years will be necessary <strong>for</strong> some nodules [34•]. The medicolegal<br />

implications of delayed diagnosis in this setting<br />

are untested but could be similar to the experience reported<br />

<strong>for</strong> breast <strong>cancer</strong> [35]. In the future, biomarkers,<br />

in addition to growth patterns, could be used to help<br />

distinguish between benign, premalignant, and malignant<br />

lesions, but the feasibility and validity of such an<br />

approach requires further evaluation [36•].<br />

Although some experts have questioned the role of<br />

RCTs in the setting of screening evaluation, they are<br />

<strong>Screening</strong> <strong>for</strong> <strong>lung</strong> <strong>cancer</strong> Manser 267<br />

generally considered to be the gold standard [37,38].<br />

Several RCTs of CT screening are being planned or are<br />

in progress [39•]. The National Lung <strong>Screening</strong> Trial is<br />

a National Cancer Institute—sponsored RCT comparing<br />

annual chest radiography with annual spiral low-dose CT<br />

<strong>for</strong> 3 years. This trial has enrolled nearly 50,000 exsmokers<br />

and current heavy smokers across multiple centers<br />

in the United States. Enrollment closed in February<br />

2004, and participants will be followed up until 2009<br />

[39a]. A further RCT will be conducted in the Netherlands<br />

and Leuven (Belgium) [40].<br />

Cost-effectiveness of computed<br />

tomography screening <strong>for</strong> <strong>lung</strong> <strong>cancer</strong><br />

In a cost-effectiveness analysis based on the results of<br />

the Early Lung Cancer Action Project, an incremental<br />

cost-effectiveness ratio of $2500 per life year saved <strong>for</strong> a<br />

single baseline low-dose CT scan in high-risk individuals<br />

was reported [41•]. These results differ markedly from<br />

those of another cost-effectiveness analysis in which relevant<br />

probabilities were based on the weighted average<br />

of several CT studies and quality-adjusted life years<br />

were assessed in addition to life years saved [42••]. In<br />

this model, current smokers in a hypothetical cohort<br />

were considered who were offered annual low-dose CT<br />

screening compared with a cohort not offered screening.<br />

The model predicted, over a 20-year period, a 13% reduction<br />

in <strong>lung</strong> <strong>cancer</strong>–specific mortality, assuming a<br />

50% stage shift. The incremental cost effectiveness ratio<br />

per quality-adjusted life year was $116,300 [42••]. This<br />

analysis was criticized because of the large number of<br />

variables included, some of which were estimated from<br />

limited data [43]. The disparity between the results of<br />

these analyses and others is a reflection of the different<br />

assumptions used in the models and particularly the<br />

level of uncertainty in the estimates of screening efficacy.<br />

Future analyses based on the results of RCTs are<br />

likely to yield more reliable results. Identification of very<br />

high-risk groups is likely to be the most cost-effective<br />

screening strategy [42••]. This could be achieved by the<br />

use of a prediction model or by identifying high-risk<br />

subgroups such as those with chronic obstructive airway<br />

disease [44•,45,46]. However, comorbidity may limit the<br />

potential health gains of screening these populations<br />

[47].<br />

Overdiagnosis: the debate continues<br />

Overdiagnosis may occur if a screening program detects<br />

a case of <strong>cancer</strong> that would not, even in the absence of<br />

screening and early intervention, have led to death in<br />

that individual’s lifetime. Henschke et al. [48•] consider<br />

overdiagnosed lesions to be those that, although morphologically<br />

malignant, have an indolent natural course and<br />

would not progress to cause death, regardless of competing<br />

causes of mortality. Although it is probable that, according<br />

to this definition, overdiagnosis is uncommon,<br />

slowly growing adenocarcinomas with long doubling


268 Neoplasms of the <strong>lung</strong><br />

times are well documented [49–51]. The detection of<br />

such indolent tumors may be more common in low-risk<br />

populations. For example, the detection rate of <strong>lung</strong> <strong>cancer</strong><br />

by CT screening is much higher than expected from<br />

mortality data among nonsmoking women [52•]. Other<br />

experts argue that in any screening program a proportion<br />

of screen-detected cases will be “pseudodisease” simply<br />

because of competing mortality [14]. The findings of the<br />

Mayo Lung Project are consistent with overdiagnosis<br />

bias [8,53]. However, in a recent retrospective <strong>review</strong> of<br />

tumor doubling times of incident <strong>cancer</strong>s diagnosed in<br />

the Mayo Lung Project and the Memorial Sloan-<br />

Kettering studies, it was reported that only 5% of stage I<br />

<strong>cancer</strong>s had doubling times of more than 400 days [54•].<br />

However, indolent tumors are most likely to be detected<br />

by prevalence screening, and this finding does not exclude<br />

the possibility of overdiagnosis resulting from competing<br />

mortality.<br />

As with any new screening test, it is probable that CT<br />

will detect lesions that have not previously been observed<br />

and have an unknown natural history. Observational<br />

studies in selected populations with unresected<br />

stage I<strong>cancer</strong>, detected by chest radiography, have reported<br />

poor 5-year survival rates of between 10% and<br />

25% [55–57]. Most recently, a high case-fatality rate was<br />

reported <strong>for</strong> unresected stage IA <strong>lung</strong> <strong>cancer</strong>s documented<br />

in the Surveillance, Epidemiology, and End Results<br />

registry [48•]. However, observational studies are<br />

subject to selection bias. For example, in one report<br />

squamous cell carcinoma was overrepresented [55]. In<br />

addition, bias may arise in assigning cause of death [58].<br />

Furthermore, comorbid conditions that contraindicate<br />

surgery could also impair host defenses against the tumor<br />

and increase <strong>lung</strong> <strong>cancer</strong> mortality [58]. Because CT can<br />

detect smaller lesions than chest radiography, the potential<br />

<strong>for</strong> overdiagnosis is greater. In a <strong>review</strong> of coronial<br />

autopsies, approximately 1 in 300 decedents going to<br />

autopsy had <strong>lung</strong> <strong>cancer</strong> detected that was undetected<br />

during life and did not contribute to death [59]. However,<br />

although incidental <strong>cancer</strong>s were uncommon, the<br />

median tumor size of incidental lesions was 3 cm (range<br />

1–10 cm), and it is likely that routine autopsies may not<br />

detect many of the smaller <strong>cancer</strong>s currently detectable<br />

by CT [59,60].<br />

The natural history of <strong>lung</strong> <strong>cancer</strong>:<br />

implications <strong>for</strong> early detection<br />

and treatment<br />

The tendency <strong>for</strong> CT screening to detect predominantly<br />

adenocarcinomas may be viewed favorably, given that<br />

this is now the predominant histologic type of <strong>lung</strong> <strong>cancer</strong><br />

in many industrialized countries [61]. However, it is<br />

possible that the benefits of early detection and treatment<br />

could differ between different histologic groups.<br />

Squamous cell carcinomas tend to be centrally located<br />

and grow more rapidly than adenocarcinomas but are less<br />

likely to metastasize to distant sites after surgery <strong>for</strong> localized<br />

disease [62]. Furthermore, lymph node micrometastases<br />

are more common in small peripheral adenocarcinomas,<br />

compared with small peripheral squamous cell<br />

carcinomas, being demonstrable in 36% of adenocarcinomas<br />

1 cm or less in size, but absent or uncommon in<br />

squamous cell carcinomas of 2 cm or less [63]. On the<br />

basis of tumor doubling times, it has been estimated that<br />

an adenocarcinoma takes an average of 13.2 years to<br />

reach 1 cm and a further 2.2 years to reach 3 cm [64]. It<br />

is not surprising that smaller tumors might demonstrate<br />

prolonged disease-free survival when measured from the<br />

point of diagnosis, because it is likely that many will have<br />

been detected at an earlier point in their development<br />

[65•]. The question remains whether the natural history<br />

will be altered by early detection and intervention, particularly<br />

given the long duration of adenocarcinoma prior<br />

to detection with current screening methods.<br />

The benefit of screening is dependent on having effective<br />

therapy <strong>for</strong> early-stage disease. However, there have<br />

been no reported RCTs of surgery or radiotherapy <strong>for</strong><br />

stage Ior stage IInon–small cell <strong>lung</strong> <strong>cancer</strong>s that have<br />

included an untreated control group [58,66]. In one early<br />

study, pneumonectomy or lobectomy improved survival<br />

at 4 years in patients with squamous cell carcinoma compared<br />

with radiotherapy [67]. Whereas observational data<br />

support the role of surgery <strong>for</strong> early-stage non–small cell<br />

<strong>lung</strong> <strong>cancer</strong>, the magnitude of any benefit and the types<br />

of patients who benefit most is unclear. Some experts<br />

have postulated that non–small cell <strong>lung</strong> <strong>cancer</strong> is a biologically<br />

variable disease in which anatomic staging identifies<br />

more indolent tumors that are likely to have a more<br />

favorable clinical course regardless of the intervention<br />

[58,64]. This hypothesis warrants further consideration<br />

in relation to adenocarcinoma, which is particularly heterogeneous,<br />

with a wide range of doubling times reported<br />

[51,68]. In one study of slow-growing tumors, survival<br />

in individuals with adenocarcinoma correlated well<br />

with tumor doubling time, even in those with resected<br />

tumors [50]. Lung <strong>cancer</strong> studies of gene expression arrays<br />

have identified different subclasses of adenocarcinoma<br />

with particular patterns of gene expression that<br />

correlate with survival [69,70]. What remains unclear is<br />

whether subclasses with different gene expression patterns<br />

have arisen from different precursor cells or whether<br />

the subclass with a more favorable gene expression<br />

pattern is simply at an intermediate point in the development<br />

to the invasive phenotype [70].<br />

Alternative approaches<br />

Although standard sputum cytology lacks sensitivity,<br />

new methods of sputum analysis have now been developed,<br />

such as automated quantitative image cytometry,<br />

immunohistochemical analysis, and molecular approaches<br />

[26••,71•,72]. Blood biomarkers are also being<br />

investigated [73•]. These approaches require validation


in large prospective trials [71•,72]. In a recent study of<br />

automated quantitative image cytometry in conjunction<br />

with low-dose CT screening in high-risk individuals, automated<br />

quantitative image cytometry was shown to enhance<br />

the detection of <strong>lung</strong> <strong>cancer</strong> by CT, but specificity<br />

was poor, with 75% of individuals having sputum atypia<br />

detected by automated quantitative image cytometry<br />

[26••]. Only 1 <strong>cancer</strong> was detected by CT alone’ however,<br />

CT failed to detect 4 of 14 <strong>lung</strong> <strong>cancer</strong>s. The 4<br />

missed lesions were all squamous cell carcinomas (3<br />

stage 0 and 1 stage IA) identified by autofluorescence<br />

bronchoscopy [26••]. Although this approach has the potential<br />

to reduce the number of initial CT scans by 25%,<br />

nearly three quarters of individuals screened would require<br />

autofluorescence bronchoscopy [26]. However, in<br />

another study, baseline autofluorescence bronchoscopy<br />

findings were predictive of subsequent squamous cell<br />

carcinoma in high-risk patients and there<strong>for</strong>e may identify<br />

a subgroup requiring closer follow-up [74•].<br />

Molecular approaches are likely to be the most effective<br />

early detection method because they can lead to the<br />

detection of preinvasive changes and there<strong>for</strong>e provide<br />

the opportunity <strong>for</strong> intervention at a much earlier point<br />

in the development of <strong>cancer</strong>. Coupled with noninvasive<br />

chemoprevention, molecular approaches could be more<br />

widely applicable [72]. In the future, noninvasive and<br />

well-tolerated chemoprevention could have a role in<br />

both primary and secondary prevention [75••]. Molecular<br />

targeted agents are currently being evaluated in clinical<br />

trials to assess their ability to prevent the appearance<br />

and progression of premalignant lesions in <strong>for</strong>mer or current<br />

smokers with a history of smoking-related <strong>cancer</strong><br />

[76•].<br />

Conclusion<br />

Low dose spiral CT screening is a sensitive screening<br />

technique <strong>for</strong> early-stage <strong>lung</strong> <strong>cancer</strong>, particularly adenocarcinoma.<br />

However there is insufficient evidence to<br />

support screening in contemporary practice. In the future,<br />

the results of RCTs will better in<strong>for</strong>m us about<br />

whether the early detection and treatment of <strong>cancer</strong>s<br />

detected by CT leads to a reduction in mortality and if<br />

the potential benefits of screening outweigh the harms<br />

associated with false positive diagnoses or overdiagnosis.<br />

If CT screening has only a small impact on <strong>lung</strong> <strong>cancer</strong><br />

mortality then cost effectiveness will most likely be unfavorable<br />

in the context of current diagnostic and therapeutic<br />

approaches. Alternative approaches to secondary<br />

prevention such as screening with biomarkers, autofluorescence<br />

bronchoscopy and chemoprevention await further<br />

development and evaluation in prospective trials.<br />

Acknowledgments<br />

The author thanks Dr. David Hart <strong>for</strong> <strong>review</strong>ing the manuscript.<br />

<strong>Screening</strong> <strong>for</strong> <strong>lung</strong> <strong>cancer</strong> Manser 269<br />

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Clin Oncol 2002, 20:911–920.<br />

22 Sone S, Li F, Yang ZG, et al.: Results of three-year mass screening pro-


270 Neoplasms of the <strong>lung</strong><br />

gramme <strong>for</strong> <strong>lung</strong> <strong>cancer</strong> using low-dose spiral computed tomography scanner.<br />

Br J Cancer 2001, 84:25–32.<br />

23 Tiitola M, Kivisaari L, Huuskonen MS, et al.: Computed tomography screening<br />

<strong>for</strong> <strong>lung</strong> <strong>cancer</strong> in asbestos-exposed workers. Lung Cancer 2002, 35:17–22.<br />

24 Swensen S, Jett JR, Hartman TE, et al.: Lung <strong>cancer</strong> screening with CT: Mayo<br />

Clinic experience. Radiology 2003, 226:756–761.<br />

Update on the results of the Mayo Clinic uncontrolled cohort study of low dose<br />

multislice CT screening.<br />

25 Morrison A: <strong>Screening</strong>. In: Modern Epidemiology. Edn 2. Edited by Rothman<br />

K, Greenland S. Philadelphia: Lippincott-Raven; 1998:499–518.<br />

26 McWilliams A, Mayo J, MacDonald S, et al.: Lung <strong>cancer</strong> screening: a different<br />

paradigm. Am J Respir Crit Care Med 2003, 168:1167–1173.<br />

This novel study examines the role of automated quantitative image cytometry of<br />

sputum cells as a potential screening tool and how this might be used in conjunction<br />

with CT screening.<br />

27 Swensen S, Jett JR, Sloan JA, et al.: <strong>Screening</strong> <strong>for</strong> <strong>lung</strong> <strong>cancer</strong> with low-dose<br />

spiral computed tomography. Am J Respir Crit Care Med 2002, 165:508–<br />

513.<br />

28 Winer-Muram H, Jennings SG, Tarver RD, et al.: Volumetric growth rate of<br />

stage I <strong>lung</strong> <strong>cancer</strong> prior to treatment: serial CT scanning. Radiology 2002,<br />

223:798–805.<br />

29 Henschke C, Yankelevitz DF, Naidich DP, et al.: CT screening <strong>for</strong> <strong>lung</strong> <strong>cancer</strong>:<br />

suspiciousness of nodules according to size on baseline scans. Radiology<br />

2004, 231:164168.<br />

30 Pastorino U, Bellomi M, Landoni C, et al.: Early <strong>lung</strong>-<strong>cancer</strong> detection with<br />

spiral CT and positron emission tomography in heavy smokers: 2 year results.<br />

Lancet 2003, 362:593–597.<br />

Italian study examining the role of positron emission tomography in the evaluation of<br />

some nodules detected by CT screening <strong>for</strong> <strong>lung</strong> <strong>cancer</strong> in a high-risk population.<br />

31 Davis E, Peabody JW, Katz S: The solitary pulmonary nodule. J Thorac Surg<br />

1956, 32:728–771.<br />

32 Storey C, Grant RA, Rothmann BF: Coin lesions of the <strong>lung</strong>. Surg Gynecol<br />

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33 Hughes R, Blades B: Stable bronchogenic carcinoma. Postgrad Med 1960,<br />

28:616–622.<br />

34 Kakinuma R, Ohmatsu H, Kaneko M, et al.: Progression of focal pure groundglass<br />

opacity detected by low-dose helical computed tomography screening<br />

<strong>for</strong> <strong>lung</strong> <strong>cancer</strong>. J Comput Assist Tomogr 2004, 28:17–23.<br />

Interesting study that examines patterns of progression of focal pure ground-glass<br />

opacity detected by low-dose spiral CT screening in terms of changes in both size<br />

and density.<br />

35 Brenner R: Breast <strong>cancer</strong> evaluation: medical legal issues. Breast J 2004,<br />

10:6–9.<br />

36 Zhukov T, Johanson RA, Cantor AB, et al.: Discovery of distinct protein profiles<br />

specific <strong>for</strong> <strong>lung</strong> tumours and pre-malignant <strong>lung</strong> lesions by SELDI mass<br />

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Study examining the feasibility of using surface-enhanced laser<br />

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from <strong>lung</strong> tumor and premalignant pulmonary epithelium.<br />

37 Barratt A, Irwig L, Glasziou P, et al.: Users’ guides to the medical literature<br />

XVII: how to use guidelines and recommendations about screening. JAMA<br />

1999, 281:2029–2034.<br />

38 Miettinen O, Yankelevitz DF, Henschke CI: Evaluation of screening <strong>for</strong> a <strong>cancer</strong>:<br />

annotated catechism of the gold standard creed. J Eval Clin Pract 2003,<br />

9:145–150.<br />

39 Diederich S, Wormanns D, Heindel W: Lung <strong>cancer</strong> screening with low-dose<br />

CT. Eur J Radiol 2003, 45:2–7.<br />

Comprehensive <strong>review</strong> that outlines some of the proposed RCTs of CT screening.<br />

39a http://<strong>cancer</strong>.gov/nlst/, accessed March 2004.<br />

40 van Klaveren R, de Koning HJ, Mali WPTM, et al.: Trial design and first screening<br />

results from the Nederlands-Leuvens Longkanker screening Onderzoek<br />

(NELSON), a prospective randomized clinical trial on <strong>lung</strong> <strong>cancer</strong> screening<br />

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41 Wisnivesky J, Mushlin AI, Sicherman N, et al.: The cost-effectiveness of lowdose<br />

CT screening <strong>for</strong> <strong>lung</strong> <strong>cancer</strong>: preliminary results of baseline screening.<br />

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Cost-effectiveness analysis based on the results of a single CT screening trial<br />

(Early Lung Cancer Action Project).<br />

42 Mahadevia P, Fleisher LA, Frick KD, et al.: Lung <strong>cancer</strong> screening with helical<br />

computed tomography in older adult smokers: a decision and costeffectiveness<br />

analysis. JAMA 2003, 289:313–322.<br />

A very comprehensive cost-effectiveness analysis that explores the impact of<br />

changing the assumptions in the analysis in multiway sensitivity analyses. Assumptions<br />

and results are clearly outlined, with a thoughtful discussion of the implications.<br />

43 Chirikos T, Hazelton T, Tockman M, Clark R: Cost-effectiveness of screening<br />

<strong>for</strong> <strong>lung</strong> <strong>cancer</strong>. JAMA 2003, 289:2358.<br />

44 Bach P, Kattan MW, Thornquist MD, et al.: Variations in <strong>lung</strong> <strong>cancer</strong> risk<br />

among smokers. J Natl Cancer Inst 2003, 95:470–478.<br />

Useful prediction model of <strong>lung</strong> <strong>cancer</strong> risk based on smoking history in addition to<br />

other factors.<br />

45 Mannino D, Aguayo SM, Petty TL, et al.: Low <strong>lung</strong> function and incident <strong>lung</strong><br />

<strong>cancer</strong> in the United States: data from the First National Health and Nutrition<br />

Examination Survey follow-up. Arch Intern Med 2003, 163:1475–1480.<br />

46 Petty T: Cost-effectiveness of screening <strong>for</strong> <strong>lung</strong> <strong>cancer</strong>. JAMA 2003,<br />

289:2357.<br />

47 Mahadevia P, Powe NR: Cost-effectiveness of screening <strong>for</strong> <strong>lung</strong> <strong>cancer</strong>.<br />

JAMA 2003, 289:2358–2359.<br />

48 Henschke C, Wisnivesky JP, Yankelevitz DF, et al.: Small stage I <strong>cancer</strong>s of<br />

the <strong>lung</strong>: genuineness and curability. Lung Cancer 2003, 39:327–330.<br />

Examines the 8-year fatality rate of diagnosed but untreated stage IA non–small cell<br />

<strong>lung</strong> <strong>cancer</strong>s documented in the Surveillance, Epidemiology, and End Results<br />

(SEER) registry in 1988–1994.<br />

49 Araki K, Goto K, Yokose T, et al.: A case of well-differentiated nonmucinous<br />

adenocarcinoma of the <strong>lung</strong> with an 18-year clinical course be<strong>for</strong>e surgery.<br />

Nihon Kokyuki Gakkai Zasshi 2003, 41:708–711.<br />

50 Hayabuchi N, Russell WJ, Murakami J: Slow-growing <strong>lung</strong> <strong>cancer</strong> in a fixed<br />

population sample: radiological assessments. Cancer 1983, 52:1098–<br />

1104.<br />

51 Hasegawa M, Sone S, Takashima S, et al.: Growth rate of small <strong>lung</strong> <strong>cancer</strong>s<br />

detected on mass CT screening. Br J Radiol 2000, 73:1252–1259.<br />

52 Li F, Sone S, Abe H, et al.: Low-dose computed tomography screening <strong>for</strong><br />

<strong>lung</strong> <strong>cancer</strong> in a general population: characteristics of <strong>cancer</strong>s in nonsmokers<br />

versus smokers. Acad Radiol 2003, 10:1013–1020.<br />

A study of the detection rate of <strong>lung</strong> <strong>cancer</strong>s by low-dose CT in 7847 Japanese<br />

adults and correlation with clinical, imaging, and pathologic findings in nonsmokers<br />

versus smokers.<br />

53 Patz E, Goodman PC, Bepler G: <strong>Screening</strong> <strong>for</strong> <strong>lung</strong> <strong>cancer</strong>. N Engl J Med<br />

2000, 343:1627–1633.<br />

54 Yankelevitz D, Kostis WJ, Henschke CI, et al.: Overdiagnosis in chest radiographic<br />

screening <strong>for</strong> <strong>lung</strong> carcinoma. Cancer 2003, 97:1271–1275.<br />

Interesting retrospective study examining tumor doubling times of the <strong>lung</strong> <strong>cancer</strong>s<br />

detected at incidence screenings in the Mayo Lung Project and Memorial Sloan-<br />

Kettering <strong>lung</strong> <strong>cancer</strong> screening study.<br />

55 Sobue T, Suzuki T, Matsuda M, et al.: Survival <strong>for</strong> clinical stage I <strong>lung</strong> <strong>cancer</strong><br />

not surgically treated: comparison between screen-detected and symptomdetected<br />

cases. Cancer 1992, 69:685–692.<br />

56 Motohiro A, Ueda H, Komatsu H, et al.: Prognosis of non-surgically treated<br />

clinical stage I <strong>lung</strong> <strong>cancer</strong> patients in Japan. Lung Cancer 2002, 36:65–69.<br />

57 Flehinger BJ, Kimmel M, Melamed MR: The effect of surgical treatment on<br />

survival from early <strong>lung</strong> <strong>cancer</strong>. implications <strong>for</strong> screening. Chest 1992,<br />

101:1013–1018.<br />

58 Lederle F, Niewoehner DE: Lung <strong>cancer</strong> surgery: a critical <strong>review</strong> of the evidence.<br />

Arch Intern Med 1994, 154:2397–2401.<br />

59 Manser R, Dodd M, Byrnes G, et al.: Incidental <strong>lung</strong> <strong>cancer</strong>s identified at<br />

coronial autopsy: implications <strong>for</strong> overdiagnosis of <strong>lung</strong> <strong>cancer</strong> by screening<br />

[abstract]. Respirology 2004, 9(Suppl):A52.<br />

60 Dammas S, Patz EF, Goodman PC: Identification of small <strong>lung</strong> nodules at<br />

autopsy: implications <strong>for</strong> <strong>lung</strong> <strong>cancer</strong> screening and overdiagnosis bias. Lung<br />

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61 Janssen-Heijnen MLG, Coebergh J-WW. Trends in incidence and prognosis<br />

of the histological subtypes of <strong>lung</strong> <strong>cancer</strong> in North America, Australia, New<br />

Zealand and Europe. Lung Cancer 2001, 31:123–137.<br />

62 Sawyer T, Bonner JA, Gould PM, et al.: Patients with stage I non-small cell<br />

<strong>lung</strong> <strong>cancer</strong> at postoperative risk <strong>for</strong> local recurrence, distant metastasis, and<br />

death: implications related to the design of clinical trials. Int J Radiat Oncol<br />

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63 Ohta Y, Oda M, Wu J, et al.: Can tumor size be a guide <strong>for</strong> limited surgical<br />

intervention in patients with peripheral non-small cell <strong>lung</strong> <strong>cancer</strong>? Assessment<br />

from the point of view of nodal micrometastasis. J Thorac Cardiovasc<br />

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64 Geddes D: The natural history of <strong>lung</strong> <strong>cancer</strong>: a <strong>review</strong> based on rates of<br />

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65 Gajra A, Newman N, Gamble GP, et al.: Impact of tumor size on survival in<br />

stage IA non-small cell <strong>lung</strong> <strong>cancer</strong>: a case <strong>for</strong> subdividing stage IA disease.<br />

Lung Cancer 2003, 42:51–57.<br />

Examines the relation between tumor size and survival in stage IA non–small cell<br />

<strong>lung</strong> <strong>cancer</strong>, with results that conflict with those in some earlier reports.<br />

66 Sirzen F, Kjellen E, Sorenson S, et al.: A systematic overview of radiation<br />

therapy effects in non-small cell <strong>lung</strong> <strong>cancer</strong>. Acta Oncol 2003, 42:493–515.<br />

67 Morrison R, Deeley TJ, Cleland WP: The treatment of carcinoma of the bronchus:<br />

a clinical trial to compare surgery and supervoltage radiotherapy. Lancet<br />

1963, 1:683–684.<br />

68 Aoki T, Nakata H, Watanabe H, et al.: Evolution of peripheral <strong>lung</strong> adenocarcinomas:<br />

CT findings correlated with histology and tumour doubling time. AJR<br />

2000, 174:763–768.<br />

69 Bhattacharjee A, Richards WG, Staunton J, et al.: Classification of human<br />

<strong>lung</strong> carcinomas by mRNA expression profiling reveals distinct adenocarcinoma<br />

subclasses. Proc Natl Acad Sci USA2001, 98:13790–13795.<br />

70 Garber M, Troyanskaya OG, Schluens K, et al.: Diversity of gene expression<br />

in adenocarcinoma of the <strong>lung</strong>. Proc Natl Acad SciUSA2001, 98:13784–<br />

13789.<br />

71 Brambilla C, Fievet F, Jeanmart M, et al.: Early detection of <strong>lung</strong> <strong>cancer</strong>: role<br />

of biomarkers. Eur Respir J 2003, 39(Suppl):36s–44s.<br />

Comprehensive overview of the role of biomarkers in early <strong>lung</strong> <strong>cancer</strong> detection.<br />

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72 Tockman M: Advances in sputum analysis <strong>for</strong> screening and early detection of<br />

<strong>lung</strong> <strong>cancer</strong>. Cancer Control 2000, 7:19–24.<br />

73 Sozzi G, Conte D, Leon ME, et al.: Quantification of free circulating DNA as a<br />

diagnostic marker in <strong>lung</strong> <strong>cancer</strong>. J Clin Oncol 2003, 21:3902–3908.<br />

Study of the amount of plasma DNA determined through the use of real-time polymerase<br />

chain reaction amplification of the human telomerase reverse transcriptase<br />

gene (hTERT) in 100 patients with non–small cell <strong>lung</strong> <strong>cancer</strong> and 100 matched<br />

control participants.<br />

74 Pasic A, Vonk-Noordegraaf A, Risse EKJ, et al.: Multiple suspicious lesions<br />

detected by autofluorescence bronchoscopy predict malignant development<br />

in bronchial mucosa in high risk patients. Lung Cancer 2003, 41:295–301.<br />

Uncontrolled cohort study of individuals at high risk <strong>for</strong> <strong>lung</strong> <strong>cancer</strong> (those with a<br />

history of primary aerodigestive tract tumor or atypical sputum cells on sputum<br />

cytology) examining what suspicious baseline findings at autofluorescence bronchoscopy<br />

might predict the subsequent development of squamous cell carcinoma<br />

in the central airways.<br />

75 Mulshine J, Hirsch FR: Lung <strong>cancer</strong> chemoprevention: moving from concept<br />

to reality. Lung Cancer 2003, 41:S163–S174.<br />

A comprehensive overview of potential agents <strong>for</strong> chemoprevention and the challenges<br />

facing further research in this field.<br />

76 Khuri F: Primary and secondary prevention of non-small cell <strong>lung</strong> <strong>cancer</strong>: the<br />

SPORE trials of <strong>lung</strong> <strong>cancer</strong> prevention. Clin Lung Cancer 2003, 5(Suppl<br />

1):S36–S40.<br />

Outlines current chemoprevention trials involving molecular targeted agents such<br />

as gefitinib, an inhibitor of epidermal growth factor receptor-tyrosine kinase activity.

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