Abstract
Studies suggest that screening with spiral computed tomography can detect lung cancers at a smaller size and earlier stage than chest radiography can. To evaluate low-radiation-dose spiral computed tomography and sputum cytology in screening for lung cancer, we enrolled 1,520 individuals aged 50 yr or older who had smoked 20 pack-years or more in a prospective cohort study. One year after baseline scanning, 2,244 uncalcified lung nodules were identified in 1,000 participants (66%). Twenty-five cases of lung cancer were diagnosed (22 prevalence, 3 incidence). Computed tomography alone detected 23 cases; sputum cytology alone detected 2 cases. Cell types were: squamous cell, 6; adenocarcinoma or bronchioalveolar, 15; large cell, 1; small cell, 3. Twenty-two patients underwent curative surgical resection. Seven benign nodules were resected. The mean size of the non-small cell cancers detected by computed tomography was 17 mm (median, 13 mm). The postsurgical stage was IA, 13; IB, 1; IIA, 5; IIB, 1; IIIA, 2; limited, 3. Twelve (57%) of the 21 non-small cell cancers detected by computed tomography were stage IA at diagnosis. Computed tomography can detect early-stage lung cancers. The rate of benign nodule detection is high.
Keywords: carcinoma; non-small cell lung; cytology; smoking; tomography, x-ray computed
In the United States, lung cancer is the most common fatal malignancy for both men and women. Approximately 175,000 new cases are diagnosed each year, of which 75–80% are non-small cell lung cancer. It is estimated that 1 in 18 women and 1 in 12 men will develop bronchogenic carcinoma in their lifetimes. More than 50% of patients will have distant metastases at diagnosis and only 20–25% will be localized and potentially resectable for cure (1).
The number of deaths from lung cancer exceeds the total combined number of deaths from the next three most common causes of death from cancer: breast, colorectal, and prostate cancers. Screening is recommended for each of these three cancers, and there has been a significant improvement in 5-yr survival over the past 25 yr. Lung cancer survival has not improved.
In the 1970s, the National Cancer Institute supported three mass-screening programs involving the Johns Hopkins University School of Medicine, Memorial Sloan-Kettering Cancer Center, and Mayo Clinic (2-4). No mortality difference was observed between the screened and the control groups (5), even with extended follow-up through 1996, even though 48% of cancers in the screen arm were early-stage cancers (stages 0, I, and II) (6). As a result of these and other studies, no organizations recommend screening (7).
Investigators have only recently considered the use of low-dose computed tomography for screening (8-14). These studies have suggested that screening with spiral computed tomography can detect lung cancers at a smaller size (less than 2 cm in diameter) and earlier stage (85–93% stage I) as compared with chest radiography and current clinical practice.
It is unclear whether smaller nodules represent earlier-stage disease and whether detection at an earlier stage improves mortality rates. It is also unclear whether screening with computed tomography creates problems related to overdiagnosis, unnecessary surgical procedure expense, morbidity, and mortality.
To further examine these questions, a study protocol was developed to test the hypothesis that screening with low-dose, fast spiral chest computed tomography in patients at high risk for lung cancer would result in a significant downward shift to stage IA and IB tumors at diagnosis, as compared with previous chest radiograph-based studies (2-6) and current clinical practice (1).
Participants were enrolled into the study after written informed consent in response to local and regional television and newspaper coverage that carried information regarding the general outline of the study and eligibility requirements as well as funding of the National Institutes of Health grant. Participants were asymptomatic men and women 50 yr of age or older. Participants had to be current or past (quit less than 10 yr ago) cigarette smokers. A history of cigarette smoking at least 20 pack-years was necessary for entrance into the study. Ineligible were those with a history of any cancer within 5 yr other than nonmelanomatous skin cancer, cervical cancer in situ, or localized prostate cancer. Only mentally competent patients considered healthy enough to undergo pulmonary resection (i.e., patients without congestive heart failure or, in the judgment of the registered-nurse study coordinator, disabling dyspnea at the time of enrollment) were entered into the study. Any patient with a serious illness that decreased life expectancy to less than 5 yr was excluded. This protocol was approved by the Mayo Foundation Institutional Review Board and by the National Cancer Institute.
All participants agreed to undergo a prevalence computed tomography scan and three annual incidence scans. Annual induced sputum samples were obtained for immediate cytologic analysis. Blood was obtained from each participant and stored for subsequent DNA analysis. Spirometry (forced expiratory volume in 1 s) was performed on each participant.
All scans were performed on a multislice spiral computed tomography scanner (LightSpeed Model QX/i, General Electric Medical Systems, Inc., Milwaukee, WI) using the following technique: 5-mm slice width with 3.75-mm reconstruction interval; HS mode; pitch (ratio of table travel per rotation to total beam width), 1.5; exposure time, 0.8 s/rotation; table feed, 30 mm/rotation (37.5 mm/s); 120 kVp; and 40 mA. Effective radiation dose was 0.65 mSv (65 mrem). Follow-up computed tomography was performed at numerous institutions; the technique used was not dictated by the study protocol. It is our understanding that most, if not all, medical centers use standard-dose chest computed tomography with thin sections (1–3 mm) for nodule analysis.
All computed tomography images were viewed in cine-mode formats at a computer workstation by one of four investigator radiologists (T.E.H., S.J.S., G.L.A., A.M.S.). Images were viewed at standard lung, soft tissue, and bone windows.
The location and size of each uncalcified nodule were tabulated. A nodule was considered to be uncalcified if it did not contain benign-pattern calcification (diffuse, central, laminated, chondroid). All nodules identified in the baseline year were considered prevalence nodules. All nodules identified on the first annual computed tomography examination were considered incidence nodules regardless of whether they were present in retrospect on the baseline examination.
Computed tomography reports and a letter from a pulmonologist (J.R.J., D.E.M.) were sent to each participant and his or her physician (as designated by the participant). Nodule management recommendations were made to the attending physician based on an untested, internally developed management algorithm for indeterminate lung nodules (Figure 1).
Fig. 1. Study group recommendation for follow-up spiral computed tomography (CT). Recommendation is based on the size of the largest nodule. HU, Hounsfield unit. *Slice thickness of 1 to 3 mm.
[More] [Minimize]From January 20, 1999, to December 15, 1999, 1,520 participants were enrolled and underwent the baseline prevalence computed tomography scan. Enrollment was denied to 421 applicants because they did not meet the eligibility criteria. The reasons for ineligibility were insufficient smoking history, 198; not interested in study after informed consent, 84; history of cancer within 5 yr, 37; congestive heart failure, 18; age, 31; enrollment in a conflicting research study, 4; respiratory insufficiency, 7; and miscellaneous health or personal situations, 42. Of the 1,511 living participants, 1,464 (97%) have returned for the first of their three annual incidence scans, which were performed within a 1-mo window on either side of their 1-yr anniversary. The 1,520 participants comprised 785 men and 735 women; 1,508 (99%) were white and 12 were African American, Native American, or Hispanic. Of the 1,520 participants, 742 (49%) were previous Mayo Clinic patients; the remaining patients were new to Mayo Clinic. All were 50 yr old or older (mean age, 59 yr; range, 50–85 yr). Sixty-one percent were current smokers; 39% were former smokers. The median number of pack-years was 45 (range, 20–230 pack-years).
Nine participants died after enrollment. One of the nine deaths was related to lung cancer (small cell lung cancer). Other causes of death were heart disease (three participants), laryngeal cancer, esophageal cancer, pancreatic cancer, lymphoma, and suicide. The man who committed suicide had a 2-mm lung nodule not thought to be cancer and a 4-cm abdominal aortic aneurysm. None of the nine deaths was related to surgery for either benign or malignant nodules.
One or more uncalcified prevalent lung nodules were prospectively identified in 782 participants (51%). The nodules were distributed in size and number as follows: < 4 mm: 307 (39%); 4– 7 mm: 391 (50%); 8–20 mm: 76 (10%); > 20 mm: 8 (1%).
During interpretation of the first annual incidence scan, additional nodules were retrospectively diagnosed on the baseline scan in 375 (26%) of 1,464 participants. In 231 participants (62% of these 375 participants), the diameter of the retrospectively identified nodules was less than 4 mm, in 137 (37%) it was 4–7 mm, and in 6 (2%) it was 8–20 mm.
A total of 2,053 nodules were present on the prevalence scan. On the first annual incidence scan, 195 (9%) had resolved, 36 (2%) had been surgically removed (some patients had more than one nodule removed per operation), 86 (4%) had increased in size, 79 (4%) had decreased in size, and 1,657 (81%) were stable.
Of the 1,464 participants, 191 (13%) had incidence nodules detected on their first annual scan that were not present in retrospect on the baseline scan. In 70 participants (37% of these 191 participants), the diameter of these incidence nodules was less than 4 mm, in 102 (53%) it was 4–7 mm, in 16 (8%) it was 8–20 mm, and in 3 (2%) it was more than 20 mm.
A total of 2,244 uncalcified prevalence and incidence lung nodules have been identified. In 1,000 (66%) of 1,520 participants, one or more lung nodules have been identified. In addition, 31 participants at baseline and 10 at the first annual scan had more than six nodules. We did not record the number of nodules if it was more than six.
To date, we have documented 25 primary lung cancers (1.7% of 1,464 participants; 1.1% of 2,244 nodules): 22 were non-small cell carcinomas, and 3 were limited-stage small cell carcinomas (Table 1 and Figure 2); 22 were prevalence lung cancers, and 3 were incidence lung cancers; 23 were diagnosed with computed tomography alone, and 2 (1 prevalence and 1 incidence) were diagnosed with sputum cytology alone. The incidence small cell cancer detected by sputum cytology alone was present in retrospect on computed tomography. By cell type, 6 cancers were squamous cell, 15 were adenocarcinoma/ bronchioloalveolar carcinoma, 1 was large cell, and 3 were small cell. The mean size of the non-small cell lung cancers detected by computed tomography was 17 mm.
| Case Number | Cell Type | Cancer Stage | Nodule Type | Nodule Diameter (mm) | ||||
|---|---|---|---|---|---|---|---|---|
| 1 | Large cell neuroendocrine | IIA | Prevalence | 9 | ||||
| 2 | Squamous cell | IA | Prevalence | 11 | ||||
| 3 | Adenocarcinoma | IA | Prevalence | 14 | ||||
| 4 | Adenocarcinoma | IA | Prevalence | 20 | ||||
| 5 | Adenocarcinoma | IIA | Prevalence | 15 | ||||
| 6 | Adenocarcinoma | IIIA | Prevalence | 31 | ||||
| 7 | Squamous cell | IIIA | Prevalence | 48 | ||||
| 8 | Bronchioloalveolar | IA | Prevalence | 21 | ||||
| 9 | Adenocarcinoma | IA | Prevalence | 11 | ||||
| 10 | Squamous cell* | IA | Prevalence | 5 | ||||
| 11 | Adenocarcinoma | IA | Prevalence | 15 | ||||
| 12 | Adenocarcinoma | IIA | Prevalence | 13 | ||||
| 13 | Squamous cell | IA | Prevalence | 10 | ||||
| 14 | Small cell carcinoma | Limited | Prevalence | 12 | ||||
| 15 | Small cell carcinoma | Limited | Prevalence | 55 | ||||
| 16 | Adenocarcinoma | IA | Prevalence | 7 | ||||
| 17 | Bronchioloalveolar | IA | Prevalence | 11 | ||||
| 18 | Adenocarcinoma | IA | Prevalence | 20 | ||||
| 19 | Adenocarcinoma | IA | Prevalence | 14 | ||||
| 20 | Adenocarcinoma | IA | Prevalence | 8 | ||||
| 21 | Bronchioloalveolar | IB | Prevalence | 12 | ||||
| 22 | Small cell carcinoma* | Limited | Incidence | 4 | ||||
| 23 | Squamous cell | IIA | Incidence | 36 | ||||
| 24 | Squamous cell | IIB | Incidence | 8 | ||||
| 25 | Bronchioloalveolar | IIA | Prevalence | 16 |
Fig. 2. Fifty-six-year-old man with a stage IA prevalence adenocarcinoma (case no. 16 in Table 1). (A) Focused view of chest radiograph in the region of cancer does not demonstrate evidence of a nodule. (B) Low-dose spiral computed tomography shows a 7-mm adenocarcinoma.
[More] [Minimize]Potentially curative pulmonary resection was performed in 22 participants, pulmonary lobectomy in 20, segmentectomy in 1, and wedge excision in 1. The postsurgical cancer stage was IA in 13 participants, IB in 1, IIA in 5, IIB in 1, IIIA in 2, and limited small cell in 3. Seven patients underwent removal of a benign disease, 6 with a wedge excision, and 1 with a lobectomy. Five of the 7 patients had radiologic evidence of nodule growth. The diagnoses (1 patient had 2 nodules) were inflammatory changes, 2 patients; granuloma, 2; hamartoma, 1; scarring, 1; pulmonary embolus, 1; and squamous metaplasia, 1. All remaining nodules are being managed with observation at 3-, 6-, or 12-mo intervals and are considered radiologically indeterminate. Although we have recommendations for every nodule based on size, decisions regarding management are in the hands of the attending local physician and the patient and are not dictated by the study protocol.
Of the 1,520 participants enrolled, 210 (14%) had incidental nonpulmonary computed tomography findings of significance (Table 2). Ancillary nonpulmonary computed tomography findings were considered clinically “significant” if they required further evaluation (e.g., adrenal mass) or had substantive clinical implications (e.g., renal cell carcinoma). These included 2 bronchial carcinoid tumors, 4 renal cell carcinomas, 3 breast cancers, 2 lymphomas, 2 gastric tumors, and 1 pheochromocytoma. One patient with a small pancreatic adenocarcinoma was identified in retrospect.
| Finding | Number | |
|---|---|---|
| Renal cell cancer | 4 | |
| Indeterminate renal mass | 33 | |
| Renal calculi | 24 | |
| Bronchial carcinoid | 2* | |
| Tracheal nodule | 7 | |
| Lobar collapse | 2 | |
| Bronchiectasis | 11 | |
| Breast cancer | 3 | |
| Breast nodule | 17 | |
| Atrial myxoma | 1 | |
| Abdominal aortic aneurysm | 51 | |
| Pericardial effusion | 9 | |
| Pleural effusion | 4 | |
| Pulmonary artery calcification | 1 | |
| Lymphoma | 2 | |
| Spine metastasis | 1 | |
| Adrenal mass | 35 | |
| Pheochromocytoma | 1 | |
| Gastric tumor | 2 |
Chest radiographs were not prospectively studied. Nine of the 21 participants with cancers detected by computed tomography had a chest radiograph within 1 mo of the computed tomography scan on which the cancer was detected. On five of the nine radiographs, the cancer was prospectively identified.
The prevalence and first incidence year results of our prospective cohort trial indicate that computed tomography can identify small and early-stage lung cancers. The mean size of the non-small cell lung cancers detected by computed tomography was 17 mm. Most (57%) of the non-small lung cancers detected by computed tomography were stage IA. The 5-yr survival rate after resection of stage IA non-small cell lung cancer ranges from 62% to 82% (15-23).
Low-dose computed tomography screening for lung cancer offers the possibility of reducing mortality through early detection. It is clearly unproven, and existing data do not justify its widespread use in the general population beyond scientific studies. Potential for bias exists in phase II (single-arm) studies. From our data, it is not clear whether there has been a stage shift. The relatively high percentage of stage IA non-small cell lung cancers detected with computed tomography could reflect any combination of selection, length, overdiagnosis, and lead-time biases. To demonstrate a stage shift, one must show not only an increase in early-stage disease but also a concomitant decrease in late-stage disease. Furthermore, our study is biased by the exclusion of patients with a history of cancer and those not healthy enough to undergo lung resection. Further study is needed to confirm the role that these biases may have in the promising results we and others have observed.
After 2 yr of study, we have found 2,244 uncalcified lung nodules in 66% of our 1,520 screened participants. We estimate that approximately 98% of these are falsely positive findings (1-14). Assuming that our 13% incidence rate of indeterminate lung nodules continues, almost all patients will have at least one false-positive examination result after only a few years of screening. Henschke and coworkers (11) found nodules in approximately 25% of screened participants, but they used computed tomography techniques (10-mm–thick sections and film [not workstation] viewing) that should allow detection of fewer small nodules (24). They also studied a population that may be expected to have a lower prevalence of fungal granulomas. However, none of the 2,244 lung nodules was calcified on 5-mm sections, and we do not have evidence from this study that a large proportion were granulomas. In fact, only two of the eight benign nodules removed were granulomas.
Radiologically indeterminate benign lung nodules are considered a falsely positive finding of lung cancer. False-positive results are a significant concern. After several annual screening examinations with computed tomography, almost all of the patients in our cohort will need one or more follow-up examinations with computed tomography for indeterminate nodules or ancillary findings. The potential harm includes financial and emotional costs. The morbidity and mortality associated with radiation, biopsy, and surgical procedures must be considered. Morbidity and mortality considerations are particularly disconcerting in cases of benign lesions and overdiagnosed cancers. Clinicians currently lack the ability to determine which cancers will be lethal and which ones are the result of overdiagnosis (6, 25). “Overdiagnosis” includes cases of slow-growing, relatively indolent lung cancers (e.g., some cases of bronchioloalveolar and adenocarcinoma) that a patient dies with and not from. The issue of competing risks (e.g., heart disease, stroke, chronic obstructive pulmonary disease) is an important consideration that must be analyzed in the context of the overall efficacy of this screening examination.
In both the United States and Europe, approximately half of the patients undergoing surgical biopsy of an indeterminate lung nodule subsequently received a diagnosis that the nodule was benign (26-29). A benign biopsy rate of 50% would be extraordinarily costly and carry with it morbidity and mortality that would preclude use of this screening technique. In our series, seven participants underwent surgical biopsy of indeterminate lung nodules that subsequently were diagnosed as benign. Our proposed lung nodule management algorithm (Figure 1) is designed to expedite surgery for lung cancer and minimize intervention for benign nodules (30-33). However, a substantial concern is that surgery for benign nodules could dramatically increase when this screening technique is released into practice.
Twenty-six percent of participants had nodules that were missed on the baseline scan. This is a high false-negative rate. Although most of these nodules were quite small, it may be an inherent problem with human observation (34). We did not measure intraobserver or interobserver variability. This is a limitation of our study and an important issue in radiologic screening procedures. Computer-aided detection programs may be helpful in lowering the false-negative rate. Periodic screening, perhaps on an annual basis, will mitigate the downside of missing relatively small and slow-growing cancers.
Fourteen percent of our participants had incidental nonpulmonary findings of clinical significance (Table 2). It is possible that these findings enhance the potential value of computed tomography screening for lung cancer. Some of the findings we defined as clinically significant led to potentially life-saving surgery or chemotherapy because of early detection, when the patient was asymptomatic. These findings included aortic aneurysm, renal cell carcinoma, bronchial carcinoid, breast cancer, gastric cancer, pheochromocytoma, and lymphoma. (Note that we excluded all bronchial carcinoids from the lung cancer list.) It is also possible that for some individuals, incidental findings only add cost, anxiety, and even morbidity and mortality. Low specificity and high cost for evaluation of false-positive cases are important issues that clearly require further study.
In this cohort, we are exploring the possibility of using computed tomography to screen systematically for signs of heart disease (coronary artery calcification) (35), stroke (carotid artery calcification) (36), emphysema (presence and quantification) (37), osteoporosis (quantitative computed tomography bone mineral densitometry) (38), and risk of cardiovascular disease, non-insulin–dependent diabetes mellitus, and hypertension (visceral fat ratio) (39). Low-dose computed tomography has the potential to be used as a comprehensive screening tool for many of the most common causes of death.
Given the data from single-arm studies performed in Japan and the United States, it is plausible that earlier detection of lung cancer by computed tomography may result in decreased mortality. Earlier detection of lung cancer does not necessarily translate into decreased mortality, however. We raise concerns regarding a very high false-positive rate. The observed low specificity of this proposed screening examination could render it prohibitively expensive. Determination of improved disease-specific mortality and cost effectiveness will likely be needed for computed tomography to be widely accepted and reimbursed as a screening technique in lung cancer. This should require a prospective randomized controlled study.
Supported by the National Cancer Institute CA 79935-01 and Mayo Foundation.
| 1. | Greenlee RT, Murray T, Bolden S, Wingo PACancer statistics, 2000. CA Cancer J Clin502000733 |
| 2. | Frost JK, Ball WC, Levin ML, Tockman MS, Baker RR, Carter D, Eggleston JC, Erozan YS, Gupta PK, Khouri NF, et al.. Early lung cancer detection: results of the initial (prevalence) radiologic and cytologic screening in the Johns Hopkins study. Am Rev Respir Dis1301984549554 |
| 3. | Flehinger BJ, Melamed MR, Zaman MB, Heelan RT, Perchick WB, Martini NEarly lung cancer detection: results of the initial (prevalence) radiologic and cytologic screening in the Memorial Sloan-Kettering study. Am Rev Respir Dis1301984555560 |
| 4. | Fontana RS, Sanderson DR, Taylor WF, Woolner LB, Miller WE, Muhm JR, Uhlenhopp MAEarly lung cancer detection: results of the initial (prevalence) radiologic and cytologic screening in the Mayo Clinic study. Am Rev Respir Dis1301984561565 |
| 5. | Fontana RS, Sanderson DR, Woolner LB, Taylor WF, Miller WE, Muhm JRLung cancer screening: the Mayo program. J Occup Med281986746750 |
| 6. | Marcus PM, Bergstralh EJ, Fagerstrom RM, Williams DE, Fontana R, Taylor WF, Prorok PCLung cancer mortality in the Mayo Lung Project: impact of extended follow-up. J Natl Cancer Inst92200013081316 |
| 7. | Eddy DMScreening for lung cancer. Ann Intern Med1111989232237 |
| 8. | Diederich S, Lenzen H, Puskas Z, Koch AT, Yelbuz TM, Eameri M, Roos N, Peters PELow-dose computed tomography of the thorax. Experimental and clinical investigations [German]. Radiologe361996475482 |
| 9. | Henschke CI, Miettinen OS, Yankelevitz DF, Libby DM, Smith JPRadiographic screening for cancer. Proposed paradigm for requisite research. Clin Imaging1819941620 |
| 10. | Kaneko M, Eguchi K, Ohmatsu H, Kakinuma R, Naruke T, Suemasu K, Moriyama NPeripheral lung cancer: screening and detection with low-dose spiral CT versus radiography. Radiology2011996798802 |
| 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. Lancet354199999105 |
| 12. | Sone S, Takashima S, Li F, Yang Z, Honda T, Maruyama Y, Hasegawa M, Yamanda T, Kubo K, Hanamura K, et al.. Mass screening for lung cancer with mobile spiral computed tomography scanner. Lancet351199812421245 |
| 13. | Sone S, Li F, Yang ZG, Maruyama Y, Hasegawa M, Wang JC, Kawakami S, Honda TCharacteristics of small lung cancers invisible on conventional chest radiography and detected by population based screening using spiral CT. Br J Radiol732000137145 |
| 14. | Ohmatsu H, Kakinuma R, Kaneko M, Moriyama N, Kusumoto M, Eguchi K. Successful lung cancer screening with low–dose helical CT in addition to chest x-ray and sputum cytology: the comparison of two screening period with or without helical CT [abstract]. Radiology 2000;217(Suppl):242. |
| 15. | Flehinger BJ, Melamed MRCurrent status of screening for lung cancer. Chest Surg Clin North Am41994115 |
| 16. | Mountain CFRevisions in the International System for Staging Lung Cancer. Chest111199717101717 |
| 17. | Flehinger BJ, Kimmel M, Melamed MRThe effect of surgical treatment on survival from early lung cancer. Implications for screening. Chest101199210131018 |
| 18. | Mountain CF. A new international staging system for lung cancer. Chest 1986;89(Suppl 4):225S–233S. |
| 19. | Mountain CFPrognostic implications of the International Staging System for Lung Cancer. Semin Oncol151988236245 |
| 20. | Pairolero PC, Williams DE, Bergstralh EJ, Piehler JM, Bernatz PE, Payne WSPostsurgical stage I bronchogenic carcinoma: morbid implications of recurrent disease. Ann Thorac Surg381984331338 |
| 21. | Martini N, Bains MS, Burt ME, Zakowski MF, McCormack P, Rusch VW, Ginsberg RJIncidence of local recurrence and second primary tumors in resected stage I lung cancer. J Thorac Cardiovasc Surg1091995120129 |
| 22. | Harpole DH, Herndon JE, Wolfe WG, Iglehart JD, Marks JRA prognostic model of recurrence and death in stage I non-small cell lung cancer utilizing presentation, histopathology, and oncoprotein expression. Cancer Res5519955156 |
| 23. | Gail MH, Eagan RT, Feld R, Ginsberg R, Goodell B, Hill L, Holmes EC, Lukeman JM, Mountain CF, Oldham RK, et al.. Prognostic factors in patients with resected stage I non-small cell lung cancer. A report from the Lung Cancer Study Group. Cancer54198418021813 |
| 24. | Tillich M, Kammerhuber F, Reittner P, Riepl T, Stoeffler G, Szolar DHDetection of pulmonary nodules with helical CT: comparison of cine and film-based viewing. AJR Am J Roentgenol169199716111614 |
| 25. | Sagawa M, Tsubono Y, Saito Y, Sato M, Tsuji I, Takahashi S, Usuda K, Tanita T, Kondo T, Fujimura SA case-control study for evaluating the efficacy of mass screening program for lung cancer in Miyagi Prefecture, Japan. Cancer922001588594 |
| 26. | Bernard AResection of pulmonary nodules using video-assisted thoracic surgery. The Thorax Group. Ann Thorac Surg611996202204 |
| 27. | Mack MJ, Hazelrigg SR, Landreneau RJ, Acuff TEThoracoscopy for the diagnosis of the indeterminate solitary pulmonary nodule. Ann Thorac Surg561993825830 |
| 28. | Siegelman SS, Zerhouni EA, Leo FP, Khouri NF, Stitik FPCT of the solitary pulmonary nodule. AJR1351980113 |
| 29. | Keagy BA, Starek PJ, Murray GF, Battaglini JW, Lores ME, Wilcox BRMajor pulmonary resection for suspected but unconfirmed malignancy. Ann Thorac Surg381984314316 |
| 30. | Viggiano RW, Swensen SJ, Rosenow ECEvaluation and management of solitary and multiple pulmonary nodules. Clin Chest Med1319928395 |
| 31. | Swensen SJ, Jett JR, Payne WS, Viggiano RW, Pairolero PC, Trastek VFAn integrated approach to evaluation of the solitary pulmonary nodule. Mayo Clin Proc651990173186 |
| 32. | Swensen SJ, Brown LR, Colby TV, Weaver AL, Midthun DELung nodule enhancement at CT: prospective findings. Radiology2011996447455 |
| 33. | Swensen SJ, Silverstein MD, Ilstrup DM, Schleck CD, Edell ESThe probability of malignancy in solitary pulmonary nodules. Application to small radiologically indeterminate nodules. Arch Intern Med1571997849855 |
| 34. | Kakinuma R, Ohmatsu H, Kaneko M, Eguchi K, Naruke T, Nagai K, Nishiwaki Y, Suzuki A, Moriyama NDetection failures in spiral CT screening for lung cancer: analysis of CT findings. Radiology21219996166 |
| 35. | Rumberger JA, Simons DB, Fitzpatrick LA, Sheedy PF, Schwartz RSCoronary artery calcium area by electron-beam computed tomography and coronary atherosclerotic plaque area. A histopathologic correlative study. Circulation92199521572162 |
| 36. | Doris I, Dobranowski J, Franchetto AA, Jaeschke RThe relevance of detecting carotid artery calcification on plain radiograph. Stroke24199313301334 |
| 37. | Müller NL, Staples CA, Miller RR, Abboud RT“Density mask.” An objective method to quantitate emphysema using computed tomography. Chest941988782787 |
| 38. | Weigert JMQCT, the most accurate method of measuring bone mineral density? J Bone Miner Res12199719541955 |
| 39. | Caprio S, Hyman LD, McCarthy S, Lange R, Bronson M, Tamborlane WVFat distribution and cardiovascular risk factors in obese adolescent girls: importance of the intraabdominal fat depot. Am J Clin Nutr6419961217 |
Nothing in this publication implies that Mayo Foundation endorses any products mentioned in this manuscript.
