HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Abstract Full Text (PDF) Alert me when this article is cited Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Add to Personal Folders Download to citation manager Author home page(s): Douglas E. Wood Thomas K. Varghese, Jr Permission Requests Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Farjah, F. Articles by Flum, D. R. Search for Related Content PubMed PubMed Citation Articles by Farjah, F. Articles by Flum, D. R. Related Collections Lung - cancer Related Article

---

Original Articles: General Thoracic

Trends in the Operative Management and Outcomes of T4 Lung Cancer

^a Surgical Outcomes Research Center, University of Washington, Seattle, Washington
^b Division of Cardiothoracic Surgery, University of Washington, Seattle, Washington
^c Division of General Surgery, Department of Surgery, University of Washington, Seattle, Washington

Accepted for publication April 28, 2008.

^_* Address correspondence to Dr Flum, Department of Surgery, University of Washington, 1959 NE Pacific, Box 356410, Seattle, WA 98195-6310 (Email: daveflum{at}u.washington.edu).

	Abstract

Top Abstract Introduction Material and Methods Results Comment Acknowledgments References

 
Background: This study describes temporal trends and variables in the operative management and outcomes of patients with T4 lung tumors in the general community.

Methods: Surveillance, Epidemiology, and End-Results-Medicare data were used for a cohort study (1992 to 2002) of patients with stage IIIB lung cancer defined by T4 tumors. Patient characteristics, tumor size, nodal status, use of staging modalities, extent of resection, multi-modality therapy, and provider volume were examined. Follow-up death data were available through 2005.

Results: Among 13,077 cases of T4 lung tumors, 1177 patients (9%) underwent resection. Over time, use of mediastinoscopy (20%) did not change (p = 0.49); mediastinal lymphadenectomy increased from 10% to 29% (p < 0.001) and neoadjuvant therapy from 4% to 8% (p = 0.04). Five-year survival rates increased from 15% to 35% (p < 0.001). A higher hazard of death was associated with increasing age (hazard ratio [HR], 1.02; 95% confidence interval [CI], 1.00 to 1.03), comorbidity index of 3 vs 0 (HR, 1.66; 95% CI 1.24 to 2.21), tumor size 3 cm or more (HR, 1.55; 95% CI, 1.30 to 1.84), N2/N3 nodes (HR, 1.67; 95% CI, 1.40 to 1.98), and sublobar resection (HR, 1.55; 95% CI, 1.26 to 1.90). Mediastinal lymphadenectomy had a significantly lower hazard of death (HR, 0.78; 95% CI, 0.64 to 0.95). Improvements in overall survival over time persisted after adjustment for these factors (p = 0.007).

Conclusions: Temporal changes in the operative management of T4 tumors coincided with improvements in long-term survival. Our findings corroborate prior work and practice guidelines supporting operative therapy for select patients with T4 lung cancer.

	Introduction

Top Abstract Introduction Material and Methods Results Comment Acknowledgments References

 
T4 tumors of the lung are defined by malignant effusions, multiple nodules within 1 lobe, or invasion of traditionally "unresectable" structures, including the heart, great vessels, trachea, esophagus, or vertebrae. In the absence of metastases, these tumors represent advanced-stage disease (IIIB) and are usually palliated with radiation or chemotherapy, or both. Accumulating evidence suggests that some T4 tumors can be resected safely with better long-term outcomes than that typically associated with stage IIIB lung cancer [1–9].

Safe and efficacious surgical therapy for T4 lung tumors likely represents an evolution in cancer management. For instance, given the limitations of radiographic staging of T status, particularly for tumors close to the chest wall or mediastinum [10], the number of explorations and resections might have increased over time. Because nodal involvement has been shown to be a strong predictor of poor prognosis among operated patients with T4 tumors [1–3, 5], more extensive preoperative and intraoperative staging of the mediastinum might have occurred over time. Early success with the use of induction chemoradiation therapy for invasive superior sulcus tumors [11] might have extended to all potentially resectable T4 tumors. It is unknown whether these changes in management have actually occurred in the general community.

We used the Surveillance, Epidemiology, and End-Results (SEER-Medicare) database to describe temporal trends in the management and outcomes of patients who underwent operative management of T4 lung tumors, and conducted exploratory analyses of potential factors associated with outcomes and underlying any observed trends in outcomes.

	Material and Methods

Top Abstract Introduction Material and Methods Results Comment Acknowledgments References

 
A retrospective cohort study was conducted on patients with stage IIIB non-small cell lung cancer (NSCLC) defined by a T4 tumor and diagnosed between 1992 and 2002. An overview of the SEER-Medicare database has been described previously [12]. The University of Washington Institutional Review Board approved this study.

The following sequential exclusions were made among 221,208 lung cancer cases identified through SEER-Medicare: patients diagnosed at the time of autopsy/death (n = 5109), younger than then 66 years of age (n = 33,509), without NSCLC histology (n = 66,821), without stage IIIB cancer defined by a T4 tumor (n = 96,029), with a diagnosis of another malignancy between 3 months before and 6 months after lung cancer diagnosis (n = 498), and with partial fee-for-service or concurrent health maintenance organization enrollment, or both, between 1 year before and 6 months after lung cancer diagnosis (n = 6325).

The Klabunde-modified Charlson Comorbidity Index (CCI) was calculated using claims within the Physician/Carrier and Outpatient files in the year before diagnosis [13]. Information about tumor size, location, histology, and nodal status was available through SEER and based on available information within 4 months of diagnosis. The use of staging and therapeutic modalities was defined using claims within the Physician/Carrier and Outpatient files coded by the Healthcare Common Procedure Coding System, International Classification of Diseases, or Revenue Center Codes (Appendix), or both. Billing codes for positron emission tomography (PET) were only available for the period 1998 to 2002, and the code for mediastinal lymphadenectomy was only available between 1994 and 2002. Volume measurements were based on average yearly provider volume among SEER-Medicare patients. Providers within the highest quartile of caseload were categorized as a high-volume provider.

Outcomes were death within 30 days of operation, time to death from any cause, and time to death from lung cancer. Follow-up was available through 2005 for all cause death data (from Medicare), and through 2004 for cause-specific death data (from SEER).

Statistical analyses were conducted using Stata Special Edition 9.2 software (StataCorp, College Station, TX). Unadjusted overall survival estimates were obtained using the Kaplan-Meier method. Estimates of the cumulative incidence of lung cancer death were used to calculate unadjusted lung cancer cause-specific survival rates to account for the competing risk of death from other causes [14]. Logistic regression was used for trend and exploratory analyses of binary end points (healthcare utilization and 30-day death). Cox proportional-hazards models were used for trend and exploratory analyses of time to death from any cause or lung cancer. Survival time was defined as the interval between date of diagnosis and date of death or censoring. Exploratory multivariate analyses were conducted on a case-complete basis and adjusted for clustering at the hospital level. Two-sided p < 0.05 was considered statistically significant.

	Results

Top Abstract Introduction Material and Methods Results Comment Acknowledgments References

 
A total of 13,077 patients with T4 lung tumors were identified. Their mean age ± standard deviation was 76 ± 6 years, 58% were men, 84% were white, and 47% had comorbidity index of 1 or higher. Of these, 14% underwent exploration or resection, or both. This proportion did not change over time (p = 0.60).

Only 9% of patients underwent resection (Table 1). Of these patients, 20% underwent mediastinoscopy, and that proportion did not change over time (p = 0.49). Use of PET increased from 5% in 1998 to 49% in 2002 (p < 0.001). Mediastinal lymphadenectomy was done in 19%, and that proportion increased from 10% in 1994 to 28% in 2002 (p < 0.001). Most resected patients did not receive neoadjuvant therapy, although the use of neoadjuvant therapy increased from 4% in 1992 to 8% in 2002 (p = 0.04). Of the patients who survived their operation for 30 days, 47% received adjuvant therapy (25% radiation only, 9% chemotherapy only, and 12% chemoradiation therapy). The use of adjuvant therapy decreased from 55% in 1992 to 40% in 2002 (p = 0.001). Trends in health care utilization were not affected by adjustment for age, sex, race, comorbidity index, SEER registry, or clustering.

View larger version (12K): [in this window] [in a new window]   Fig 1. Temporal trends in outcomes are presented for (A) 30-day death, (B) 5-year overall survival rates, and (C) 5-year cause-specific survival rates. The error bars show the 95% confidence interval.

	Comment

Top Abstract Introduction Material and Methods Results Comment Acknowledgments References

 
T4 tumors of the lung have long been considered unresectable and associated with a poor prognosis. Increasingly, however, it has been recognized that the biologic behavior of stage IIIB lung cancer is heterogeneous and largely defined by the degree of lymph node involvement—a surrogate for distant metastases. T4 N0-1 tumors have historically been designated as stage IIIB because of perceptions of unresectability, but the biology of a tumor that has the misfortune of poor location (T4) is likely very different than a tumor that has developed contralateral lymph node metastases (N3). Because T4 N0 tumors are not likely to be similar to T1-T4 N3 tumors with regards to their propensity to metastasize, select patients have improved opportunity for cure with surgical resection. Findings from this study show patients with T4 tumors who underwent operative management had better 5-year overall survival rates (20%) than the aggregate survival estimate for stage IIIB lung cancer (3% to 7%) [15]. Certain aspects of staging and management have changed over time, including increased use of PET, mediastinal lymphadenectomy, and neoadjuvant therapy, and decreased use of adjuvant therapy. Coincident with these changes, unadjusted 5-year overall and lung cancer–specific survival rates have increased significantly over time, although 30-day case-fatality rates have not. Factors associated with adverse outcomes include increasing age and number of comorbid conditions, tumor size larger than 3 cm, lymph node involvement, sublobar resection, and adjuvant therapy. Adjustment for changes in these and other factors over time suggests that the risks of early and late death have decreased over time. The results of this nationally representative study corroborate previous reports [1–9] and current practice guidelines [16, 17] recommending operative management for select patients with T4 tumors.

Accurate staging of tumor extent is an important component of lung cancer management. Computed tomography (CT) of the chest has limited value in characterizing tumor invasion. Whereas clinical staging tends to underestimate tumor stage, radiographic staging with CT tends to overstage T status in more than 50% of patients [10]. More accurate staging can be achieved by thoracic exploration, leading to appropriate surgical therapy for patients with T1-T3 tumors and a more informed decision about the resectability of true T4 tumors. Surprisingly, we did not observe an increase in the proportion of explorations or resections, or both, over time among patients with T4 tumors. Although imaging resolution has likely improved with time, the ability of CT imaging to define tumor invasion into adjacent structures has likely not. Because the consequences of overstaging are more ominous than understaging—given the potential for recommending palliative rather than curative therapy—patients with a limited extent of T4 disease by radiographic staging should be considered for surgical exploration to maximize the chance of cure. Although not recommended in recent practice guidelines [16, 17], thoracic exploration might be a necessary and appropriate component of staging for select patients with potentially resectable, clinically staged T4 N0-1 lung cancer.

The strong association between nodal status and survival described in this and other studies [1–3, 5] is the basis for recent practice guidelines recommending (1) routine PET and mediastinoscopy for all potentially resectable patients with T4 tumors and (2) resection only for those with N0-1 nodal status [16, 17]. One reason for the high proportion (22%) of N2/N3 disease among operated on patients in our cohort may have been inadequate mediastinal staging. Rapid adoption of PET resulted in 49% of patients having been staged with this modality in 2002, but the use of mediastinoscopy did not increase over the time. In 2002, only 10% of resected patients underwent both PET and mediastinoscopy. Long-term outcomes associated with surgical therapy for T4 lung cancer will likely improve further if surgeons more accurately select only patients with N0-1 disease.

Despite a significant rise in use of neoadjuvant therapy over time, we found no association between neoadjuvant therapy and survival. These findings are in contrast with recent results from a multicenter, prospective trial of superior sulcus tumors demonstrating improved survival rates associated with the use of induction chemoradiation therapy compared with historical data [18]. One explanation is that neoadjuvant therapy may not improve the ability to achieve complete resection in patients with T4 disease and that preoperative therapy is not beneficial so long as complete resection is accomplished. Alternatively, patients in the general community who would be expected to benefit from neoadjuvant therapy—for instance those with systemic disease evidenced by mediastinal nodal involvement—might not have been offered surgical therapy. Another possible explanation relates to the type of induction therapy used. In the Southwest Oncology Group (SWOG) trial, patients with superior sulcus tumors received only chemoradiation therapy, whereas patients in our cohort received radiation, chemotherapy, and chemoradiation therapy. Survival rates are known to vary by type of induction therapy [19]. Finally, our cohort likely consisted of a heterogeneous group of T4 tumors, whereas the SWOG trial consisted only of patients with superior sulcus tumors, including T3 and T4 tumors. This difference in patient composition is unlikely to explain the apparent lack of benefit of neoadjuvant therapy, because excellent outcomes have been reported among heterogeneous groups of T4 patients [4, 6] and groups defined by mediastinal invasion [2], airway involvement [5], superior vena cava invasion [8], and multi-focal lobar involvement [7, 9]. Importantly, we found no association between neoadjuvant therapy and an increased risk of early death after resection.

The use of adjuvant therapy decreased over time and was associated with a significantly increased risk of death. Adjuvant radiation therapy is used for local control of incompletely resected tumors and adjacent lymph nodes, whereas adjuvant chemotherapy is used to treat suspected occult systemic disease. The declining use of adjuvant therapy over the study period may be the result of better preoperative patient selection. Meta-analyses of trials of adjuvant therapy for early-stage lung cancer revealed survival benefits associated with adjuvant chemotherapy [20] and survival decrements associated with radiation therapy [21]. In our study, adjuvant radiation therapy (HR, 1.38; 95% CI, 1.11 to 1.72) and chemotherapy (HR, 1.46; 95% CI, 1.06 to 2.01) were both associated with a higher risk of death. The most likely reason for these discrepant findings is confounding. Because we could not measure (and therefore adjust) for the indications for adjuvant therapy, it is likely that the apparently higher risk of death associated with adjuvant therapy is actually a consequence of the indications for therapy rather than therapy itself. Other potential explanations are that adjuvant therapy was not used for the appropriate indications, alkylating rather than platinum-based agents were used during the period of study [20], the results of the meta-analyses are not generalizable to patients with T4 tumors, or adjuvant therapy is truly detrimental.

The risk of adverse outcomes after operative management was associated with nonmodifiable factors. Increasing age, comorbid conditions, and tumor size were associated with higher risks of early- and long-term death in our cohort, but 5-year overall survival rates for operated patients older than 80 years (15%, 95% CI, 10% to 22%), with a comorbidity index of 3+ (14%, 95% CI, 7% to 22%), or with a tumor 3 cm or larger (16%, 95% CI, 14% to 29%) were still higher than aggregate survival estimates for stage IIIB cancer (3% to 7%). An observational study such as this one cannot prove that operative management led to better survival rates in these subgroups, although it remains a plausible explanation given the findings. Factors associated with adverse outcomes should be discussed with patients as a standard part of informed consent, but risk factors should not obviate thoracic surgical consultation or resection in appropriately selected patients. Subsequent studies should attempt to identify modifiable risk factors for adverse outcomes associated with operative management of T4 tumors.

This investigation has several limitations. Our findings may be generalizable to elderly Medicare beneficiaries only, but only if management and outcomes are different for patients 65 and younger or those with alternative health plans. We were not able to adjust for important factors associated with outcome—such as lung function, performance status, residual tumor, lymphovascular invasion, bulky vs microscopic nodal involvement, degree of invasion, involved viscera, or operative details—potentially leading to spurious associations in our exploratory analyses. We included surgeon and hospital volume in exploratory models to adjustment for the potentially confounding effects of previously described volume-outcome relationships [22–24], but in our models we did not observe these associations. A likely explanation is the method of calculating volume using the SEER-Medicare population, which tends to bias the volume-outcome relationship towards the null [25] and may have resulted in inadequate adjustment. Results pertaining to cause-specific survival should be interpreted with caution, because SEER records the cause of death based on death certificate information, and the validity of this approach is controversial [26]. Patients with missing covariate data had significantly higher 30-day case-fatality rates (16% vs 8%, p < 0.001) and lower 5-year overall survival rates (11% vs 23%, p < 0.001), possibly biasing exploratory multivariate analyses. The main findings of our study—health care utilization and outcome estimates and trend analyses—would not have been biased because these calculations did not exclude patients with missing covariate data from the analysis.

This study has several implications. Patients with limited T4 N0-1 disease may be amenable to complete surgical resection with a substantially better chance of survival than patients with other manifestations of disease also classified as stage IIIB. The former should receive consultation with an experienced thoracic surgical oncologist, as recommended by current guidelines [16, 17]. When counseling patients selected to undergo resection on the risks and benefits of surgical therapy, surgeons can supplement information about their individual or institutional experience with outcomes based on data from this nationally representative experience. The preliminary data generated from our exploratory analyses might be used to plan multicenter, prospective investigations of staging and multimodality therapy that could help to define the evaluation and selection of patients to be considered for advanced surgical treatment with curative intent. Improved application of staging modalities (PET and mediastinoscopy) is especially important in the evaluation of locally advanced lung cancer and is critical for selecting patients that may most benefit from an operation.

	Appendix

 

Billing Codes Used to Define Staging and Therapy Resection  HCPCS 31766 32440 32442 32445 32480 32484 32485 32486 32488 32500 32520 32522 32525 32657 32663 Exploration  HCPCS 32095 32100 32601 32602 Chemotherapy  HCPCS 95549 96400 96404 96406 96410 96412 96414 96420 96420 96422 96423 96425 96440 96445 96450 96542 96545 C9017 J0182 J8510 J8530 J8560 J8610 J899 J9000 J9001 J9010 J9045 J9060 J9062 J9070 J9080 J9090 J9091 J9092 J9093 J9094 J9095 J9096 J9097 J9170 J9180 J9181 J9182 J9190 J9201 J9206 J9208 J9230 J9250 J9260 J9265 J9280 J9290 J9291 J9350 J9360 J9370 J9375 J9380 J9390 J9999 Q0083 Q0084 Q0085 Q0125 Q0127 Q0128 Q0129 S0178 S0182 S9329 S9330 S9331  ICD-9 V58.1 V66.2 V67.2 99.25  RCC 0331 0332 0335 Radiation therapy  HCPCS 31643 77300 77301 77305 77310 77315 77321 77326 77327 77328 77331 77332 77333 77334 77336 77370 77380 77381 77399 77401 77402 77403 77404 77406 77407 77408 77409 77411 77412 77413 77414 77416 77417 77418 77419 77420 77425 77427 77430 77431 77432 77470 77499 77520 77522 77523 77525 77750 77761 77762 77763 77781 77782 77783 77784 77799 C1716 C1717 C1718 C1719 C1720 C1790 C1791 C1792 C1793 C1794 C1795 C1796 C1797 C1798 C1799 C1800 C1801 C1802 C1803 C1804 C1805 C1806 C2616 G0126 G0173  ICD-9 V58.0 V66.1 V67.1 92.20 92.21 92.22 92.23 92.24 92.26 92.27 9.28 92.29 92.30 92.31 92.32 92.33 92.39

Billing Codes Used to Define Staging and Therapy PET  HCPCS G0125 G0126 G0210 G0211 G212 G0234 78810 Mediastinoscopy/otomy  HCPCS 39400 39000 39010 Mediastinal lymphadenectomy   HCPCS 38746

HCPCS = Healthcare Common Procedure Coding System; ICD-9 = International Classification of Diseases, 9th Clinical Modification; PET = positron emission tomography; RCC = Revenue Center Code.

	Acknowledgments

Top Abstract Introduction Material and Methods Results Comment Acknowledgments References

 
This study used the linked SEER-Medicare database. The interpretation and reporting of these data are the sole responsibility of the authors. We acknowledge the efforts of the Applied Research Program, National Cancer Institute; the Office of Research, Development and Information, Centers for Medicare and Medicaid Services; Information Management Services Inc; and the SEER Program tumor registries in the creation of the SEER-Medicare database. Farhood Farjah was supported by a Cancer Epidemiology and Biostatistics Training Grant (T32 CA09168–30) and National Research Service Award (F32 CA130434–01) from the National Cancer Institute. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Cancer Institute or the National Institutes of Health.

	References

Top Abstract Introduction Material and Methods Results Comment Acknowledgments References

 

1. Bernard A, Bouchot O, Hagry O, Favre JP. Risk analysis and long-term survival in patients undergoing resection of T4 lung cancer Eur J Cardiothorac Surg 2001;20:344-349.[Abstract/Free Full Text]
2. Doddoli C, Rollet G, Thomas P, et al. Is lung cancer surgery justified in patients with direct mediastinal invasion? Eur J Cardiothorac Surg 2001;20:339-343.[Abstract/Free Full Text]
3. Fukuse T, Wada H, Hitomi S. Extended operation for non-small cell lung cancer invading great vessels and left atrium Eur J Cardiothorac Surg 1997;11:664-669.[Abstract/Free Full Text]
4. Macchiarini P, Dulmet E, De Montpreville V, et al. Prognostic significance of peritumoural blood and lymphatic vessel invasion by tumour cells in T4 non-small cell lung cancer following induction therapy Surg Oncol 1995;4:91-99.[Medline]
5. Mitchell JD, Mathisen DJ, Wright CD, et al. Resection for bronchogenic carcinoma involving the carina: long-term results and effect of nodal status on outcome J Thorac Cardiovasc Surg 2001;121:465-471.[Abstract/Free Full Text]
6. Osaki T, Sugio K, Hanagiri T, et al. Survival and prognostic factors of surgically resected T4 non-small cell lung cancer Ann Thorac Surg 2003;75:1745-1751discussion 51.[Abstract/Free Full Text]
7. Port JL, Korst RJ, Lee PC, Kansler AL, Kerem Y, Altorki NK. Surgical resection for multifocal (T4) non-small cell lung cancer: is the T4 designation valid? Ann Thorac Surg 2007;83:397-400.[Abstract/Free Full Text]
8. Spaggiari L, Magdeleinat P, Kondo H, et al. Results of superior vena cava resection for lung cancer. Analysis of prognostic factors. Lung Cancer 2004;44:339-346.[Medline]
9. Trousse D, D'Journo XB, Avaro JP, et al. Multifocal T4 non-small cell lung cancer: a subset with improved prognosis Eur J Cardiothorac Surg 2008;33:99-103.[Abstract/Free Full Text]
10. Cangemi V, Volpino P, Drudi FM, D'Andrea N, Cangemi R, Piat G. Assessment of the accuracy of diagnostic chest CT scanning. Impact on lung cancer management. Int Surg 1996;81:77-82.[Medline]
11. Rusch VW, Giroux DJ, Kraut MJ, et al. Induction chemoradiation and surgical resection for non-small cell lung carcinomas of the superior sulcus: Initial results of Southwest Oncology Group Trial 9416 (Intergroup Trial 0160) J Thorac Cardiovasc Surg 2001;121:472-483.[Abstract/Free Full Text]
12. Warren JL, Klabunde CN, Schrag D, Bach PB, Riley GF. Overview of the SEER-Medicare data: content, research applications, and generalizability to the United States elderly population Med Care 2002;40(8 suppl):IV-3-IV-18.
13. Klabunde CN, Potosky AL, Legler JM, Warren JL. Development of a comorbidity index using physician claims data J Clin Epidemiol 2000;53:1258-1267.[Medline]
14. Marubini E, Valsecchi MG. Analyzing survival data from clinical trials and observational studiesChichester, UK: John Wiley and Sons; 1995.
15. Mountain CF. Revisions in the International System for Staging Lung Cancer Chest 1997;111:1710-1717.[Medline]
16. National Comprehensive Cancer Network Clinical practice guidelines in oncology–v.2.2008: non-small cell lung cancerhttp://www.nccn.org/professionals/physician_gls/PDF/nscl.pdf 1997Accessed January 2008.
17. Shen KR, Meyers BF, Larner JM, Jones DR. Special treatment issues in lung cancer: ACCP evidence-based clinical practice guidelines (2nd edition) Chest 2007;132(3 suppl):290S-305S.[Medline]
18. Rusch VW, Giroux DJ, Kraut MJ, et al. Induction chemoradiation and surgical resection for superior sulcus non-small-cell lung carcinomas: long-term results of Southwest Oncology Group Trial 9416 (Intergroup Trial 0160) J Clin Oncol 2007;25:313-318.[Abstract/Free Full Text]
19. Wright CD, Menard MT, Wain JC, et al. Induction chemoradiation compared with induction radiation for lung cancer involving the superior sulcus Ann Thorac Surg 2002;73:1541-1544.[Abstract/Free Full Text]
20. Alam N, Darling G, Shepherd FA, Mackay JA, Evans WK. Postoperative chemotherapy in nonsmall cell lung cancer: a systematic review Ann Thorac Surg 2006;81:1926-1936.[Abstract/Free Full Text]
21. Postoperative radiotherapy for non-small cell lung cancer Cochrane Database Syst Rev 2005CD002142.
22. Bach PB, Cramer LD, Schrag D, Downey RJ, Gelfand SE, Begg CB. The influence of hospital volume on survival after resection for lung cancer N Engl J Med 2001;345:181-188.[Medline]
23. Birkmeyer JD, Siewers AE, Finlayson EV, et al. Hospital volume and surgical mortality in the United States N Engl J Med 2002;346:1128-1137.[Medline]
24. Birkmeyer JD, Stukel TA, Siewers AE, Goodney PP, Wennberg DE, Lucas FL. Surgeon volume and operative mortality in the United States N Engl J Med 2003;349:2117-2127.[Medline]
25. Hollenbeck BK, Hong J, Zaojun Y, Birkmeyer JD. Misclassification of hospital volume with surveillance, epidemiology, and end results Medicare data Surg Innov 2007;14:192-198.[Abstract/Free Full Text]
26. Bach PB, Guadagnoli E, Schrag D, Schussler N, Warren JL. Patient demographic and socioeconomic characteristics in the SEER-Medicare database applications and limitations Med Care 2002;40(8 suppl):IV-19-IV-25.

This article has been cited by other articles:

				K. Imai, Y. Minamiya, K. Ishiyama, M. Hashimoto, H. Saito, S. Motoyama, Y. Sato, and J.-i. Ogawa Use of CT to Evaluate Pleural Invasion in Non-Small Cell Lung Cancer: Measurement of the Ratio of the Interface between Tumor and Neighboring Structures to Maximum Tumor Diameter Radiology, May 1, 2013; 267(2): 619 - 626. [Abstract] [Full Text] [PDF]

				J. Schirren, T. Donges, M. Melzer, R. Schonmayr, M. Eberlein, and S. Bolukbas En bloc resection of non-small-cell lung cancer invading the spine Eur J Cardiothorac Surg, September 1, 2011; 40(3): 647 - 655. [Abstract] [Full Text] [PDF]

				A. Chambers, T. Routledge, A. Bille, and M. Scarci Does surgery have a role in T4N0 and T4N1 lung cancer? Interact CardioVasc Thorac Surg, October 1, 2010; 11(4): 473 - 479. [Abstract] [Full Text] [PDF]

				F. Farjah, D. R. Flum, T. K. Varghese Jr, R. G. Symons, and D. E. Wood Surgeon Specialty and Long-Term Survival After Pulmonary Resection for Lung Cancer Ann. Thorac. Surg., April 1, 2009; 87(4): 995 - 1006. [Abstract] [Full Text] [PDF]

				L. Spaggiari Invited Commentary Ann. Thorac. Surg., August 1, 2008; 86(2): 375 - 375. [Full Text] [PDF]

This Article Abstract Full Text (PDF) Alert me when this article is cited Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Add to Personal Folders Download to citation manager Author home page(s): Douglas E. Wood Thomas K. Varghese, Jr Permission Requests Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Farjah, F. Articles by Flum, D. R. Search for Related Content PubMed PubMed Citation Articles by Farjah, F. Articles by Flum, D. R. Related Collections Lung - cancer Related Article