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Im Dokument Lungenkrebs 02 (Seite 32-35)

Leslie Noirez, Laurent P. Nicod Respiratory Medicine Department

Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne

SCHWERPUNKTTHEMA: LUNGENKREBS

Definition of population at risk

In a recent study, the analysis of the NLST population showed that in case of subjects with multiple risk-factors the benefits/harms balance towards LCS is clearly favor-able (11). Subjects should be screened by the criteria speci- fied in the screening protocol according to age, smoking history, duration of smoking cessation, family history and with clear inclusion/exlusion criteria (14, 19). The Ex-pert Panel of Swiss University Hospitals suggests that the screened population should be the same as in the NLST aged 55-74 years with at least 30 pack-years of active or discontinued smoking history for less than 15 years and without clinical symptoms of cancer. Recent studies sug-gest that the selection criteria for LCS could be redefined with extension of the age group, subjects with lower level of smoking exposure, type of occupational exposure and inclusion of subjects with underlying lung disease (e.g COPD, interstitial pulmonary fibrosis) (15). This is not fully supported by the current evidences but progress has been made for example by the Liverpool Lung Project in this field (16).

Lung nodule assessment

Approximatively one cancer may have been caused by ra-diation from CT per 2500 persons screened (10). In the future, technical improvment in CT will lead to a lower ra-diation exposure of approximately 0.2 mSv compared to a current average effective dose of 1.5 mSv with LDCT (20).

Radiation exposure was generated by follow-up scans and derived diagnostic evaluations and may be signifi-cant. This should be included in the monitoring process as the interval between LDCT and the number of rounds.

As mentioned above, only a minor proportion of lung le-sions detected by LDCT will finally turn out to represent early lung cancer (8). In the NSLC 320 patients should be screened to avoid 1 cancer death (4). Studies suggest that LDCT screening for lung cancer may detect small tumors that would never become life-threatening corresponding to the definition of overdiagnosis which represents a poten-tial harm and bias of screening (12) with an estimated rate of more than 18% of all lung cancers detected by LDCT in the NLST (13). It may incur additional costs, investi-gations, morbidity, and anxiety. Management of lung nod-ules should be developed from standardized radiologic de-scription. The Swiss Expert Panel proposed an algorithm outlined in the statement of the National Comprehensive Cancer Network (NCCN) for the management of non solid/solid or partly solid nodules (7, 21-25). The Swiss Expert Panel recommends the use of lung nodule volum-etry in case of standardized CT protocols and the use of the same software for each measurement based on the NEL-SON trial which suggests that volumetry may reduce false positive and false negative rates (9). In another way, stu-

dies have analysed the Computer Assisted lung nodule De-tection (CAD), a validated commercial software designed as a multi-step approach aiming to detect parenchymal le-sions at high sensitivity and specificity focusing on solid lesions larger than 3  mm. It may be prefered to conven-tional double reading because more sensitive in 96.7% vs.

78.1%, respectively (24). These techniques are not widely available yet.

Screening interval

The time interval between CT scans in the screening program has great impact on costs but also on the cu-mulative radiation dose. An increase in the time inter-val may however reduce the diagnostic sensitivity of the screening test. Based on the NLST data at present an-nual screening is recommended. In the NELSON trial a screening interval of 1.2 and 2.5 years is being evalu-ated (26). A two-year interval after baseline scan instead of one annual repeat scan did not impair the diagnosis sensitivity but with a 2.5-year interval the frequency of interval cancers increased significantly (9). The most ap-propriate number of screening rounds is still not deter-mined.

Management of patients and results

Individual management is of crucial importance by a well-trained staff within a well-organised infrastructure for an efficient lung cancer screening program. For a na-tional prospective trial or registry, the Swiss Expert Panel proposes that lung cancer screening should be done only at certified institutions, authorized and accredited to per-form lung cancer screening with the necessary infrastruc-ture and expertise for the multidisciplinary work-up of lung nodules and the management of lung cancers and should be reinforced by health authorities (7, 17, 18). Edu- cation and information for participants and staff are recommended. Smoking cessation should be actively en-couraged and should be integrated in the screening pro-gram involving staff training and certification (17).

Cost and cost-effectiveness

Costs of cancer screening depend mainly on patient se-lection. To avoid unnecessary costs it implies that the population included in the lung screening cancer pro-gram should be defined very carefully. Cost-effectiveness of LDCT screening for lung cancer is a highly debatable issue (27). The financial impact of a screening program suggests other questions such as whether health insur-ances should bear the costs of screening individuals who still are smoking? The NELSON trial results may be de-cisive to avoid unnecessary investigations and thus un-necessary costs. Beyond the costs, the psychological im-pact of unnecessary investigations should be evaluated.

SCHWERPUNKTTHEMA: LUNGENKREBS

In the meantime

Before lung cancer screening can be broadly implemented in clinical practice in Switzerland comparison of practi- ces and outcomes between screening centers is needed to guarantee high quality standards at a national level. More knowledge about the costs for health authorities and for insurance providers too are waiting.

References

1. Cancer in Switzerland. Situation and development from 1984 up to 2013 www.nicer.org/editor/schweiz/Krebs _in_de_Sweiz.

pdf Cancer in Switzerland. Publishers: Federal Statistical Office (FSO), Foundation National Institute for Cancer Epidemiology and Registration (NICER).

2. Van Rens MT et al. Survival in synchronous vs. single lung cancer:

upstaging better reflects prognosis. Chest 118: 952-958, 2000.

3. Moyer VA et al. Preventive Service Task Force. Screening for Lung cancer: US Preventive Service Task Force. Recommendation State-ment. Ann Intern Med 160: 330-338, 2014.

4. National Lung Cancer Trial (NLST) Research team. The National Lung Screening Trial: Overview and Study Design. Radiology 258: 243-253, 2011.

5. R Lazor et al. Depistage du cancer pulmonaire par scanner thora-cique. Rev Med Suisse 8: 2206-2211, 2012.

6. Cassidy A et al. The LLP risk model: an individual risk prediction model for lung cancer. Br J Cancer 98: 270-276, 2008.

7. Frauenfelder T et al. Early Detection of Lung Cancer: A Statement from Expert Panel of Swiss University Hospitals on lung cancer screening. Respiration 87: 254-264, 2014.

8. Erich W Russi. Lung Cancer screening has the potential to save lives, but shall we do it ? Swiss Med Wkly 141: w13185, 2011.

9. Horeweg N et al. Characteristics of lung cancers detected by com-puter tomography screening in the randomized NELSON trial.

Am J Resp Crit Care Med 187: 848-854, 2013.

10. Smith-Bindman R et al. Radiation dose associated with common computed tomography examinations and the associated lifetime attribuable risk of cancer. Arch Intern Med 169: 2078-2086, 2009.

11. Bach PB et al. Benefits and harms of CT screening for lung cancer:

a systematic review. JAMA 307: 2418-2429, 2012.

12. Veronesi G et al. Estimating overdiagnosis in LDCT screening for lung cancer: a cohort study. Ann Intern Med 157: 776-784, 2012.

13. Overdiagnosis in Low dose Computed Tomography Screening for Lung Cancer. JAMA Intern Med 174: 269-274, 2014.

14. Kovalchik et al. Targeting of LDCT screening for lung cancer ac-cording to the risk of lung cancer death: N.Engl. J Med 369:

245-254, 2013.

15. Tamemagi MC et tal : Selection criteria for lung-cancer screening.

N Eng J Med 368: 726-738, 2013.

16. Raji OY et al. Predictive accuracy of the Liverpool Lung Proj-ect risk model for stratifying patient for computed tomography screening for lung cancer: a case control and cohort validation Study. Ann Intern Med 157: 242-250, 2012.

17. Fintelmann F.J et al. The 10 pillars of lung cancer screening: ra-tional and logistic soft a lung cancer screening program. Radio-graphics 35: 1893-1908, 2015.

18. Kauczor HU et al. ERS/ERS white paper on lung cancer sceen-ning. Eur Radiol 25: 2519-2564, 2015.

19. Gould MK et al. Evaluation of individuals with pulmonary nod-ules: when is it lung cancer? Diagnosis and managment of lung cancer, 3ed ACCP evidence based clin practice guidelines. Chest 143: 93-120, 2013.

20. Huber A et al. Performance of ultra-low dose CT with iterative reconstruction in lung cancer screening limiting radiation expo-sure to the equivalent of conventional Chest X-ray imaging. Eur Radiol 2016.

21. MacMahon H et al. Guidelines for managment of small pul-monary nodules detected on CT scan. Radiology 237: 395-400, 2005.

22. Naidich DP et al. Recommandations for the managment of sub-solid nodule detected at CT: A statement from the Fleishner Soci-ety. Radiology 266: 304-317, 2012.

23. Godoy MC, Naidich DP. Subsolid pulmonary nodule and the spectrum of peripheal adenocarcinomas of the lung: recommend-ed interim guidelines for assesment and managment. Radiology 253: 606-622, 2009.

24. Zhao Y et al. Perfomance of Computer-Aided Detection pulmo-nary nodules in low dose CT: comparison with double reading by nodule volume. Radiol 22: 2076-2084, 2012.

25. Silva M et al. Long term surveillance of ground glass nodules:

evidence from MILD Trial. J Thor Oncol 7: 1541-1546, 2012.

26. Horeweg N et al. Detection of lung Cancer through low-dose CT screening (NELSON), an analysis of screening test performance and interval. Lancet Oncol 15: 1342-1350, 2014.

27. Puggina A. et al. A cost effectiveness of screeening lung cancer with low dose computed tomography: a sytematic literature re-view. Eur J Public Health 26: 168-175, 2016.

Correspondence:

Dr. Leslie Noirez Service de Pneumologie Endoscopie Interventionnelle

CHUV - Bugnon 46, CH-1011 Lausanne leslie.noirez@chuv.ch

SCHWERPUNKTTHEMA: LUNGENKREBS

Over the past 10 years, the treatment for lung cancer has drastically changed from chemotherapy - as the unique sole modality - to targeted therapies, immunotherapy and refinement of complex multimodality treatments. The de-velopment of targeted therapies and potent agents such as tyrosine kinase inhibitors shifted the therapeutic approach towards personalised medicine, where patients are treated in the context of their driver mutations [1-3].

Immune escape is a critical gateway to malignancy [4].

The recent clinical developments in immunotherapy for lung cancer have improved the outcome of patients with metastatic disease. The multiple natural negative feedback mechanisms that regulate the adaptive immune response, impacting T-cell or natural killer cell functions, offer mul-tiple opportunities for therapeutic intervention [5].

All these developments led to impressive successes in terms of response and survival. Never-theless, lung cancer remains the leading cause of cancer-related mortality worldwide and new treatment options are needed to improve the prognosis for pa-tients with lung cancer [6]. The establishment of the European Thoracic Oncology Platform (ETOP) originated in a group of investigators who shared the vision of improving the treat-ment options and prospective for patients with thoracic ma-lignancies and who had a first informal meeting during the ESMO congress in Stockholm, Sweden in September 2008 [7].

The foundation of ETOP as a not-for-profit organisation under Swiss law and with headquarters in Bern was approved by author-ities in March 2009. Since then, the scientific network of ETOP has continuously grown and

Im Dokument Lungenkrebs 02 (Seite 32-35)