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Stephen Lam
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MA03 - Lung Cancer Screening - Next Step (ID 896)
- Event: WCLC 2018
- Type: Mini Oral Abstract Session
- Track: Screening and Early Detection
- Presentations: 1
- Moderators:
- Coordinates: 9/24/2018, 10:30 - 12:00, Room 206 AC
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MA03.02 - Prospective Evaluation of the Clinical Utility of the International Lung Screen Trial Lung Nodule Management Protocol (ID 14043)
10:35 - 10:40 | Presenting Author(s): Stephen Lam
- Abstract
- Presentation
Background
Several protocols are available to guide management of lung nodules identified by low-dose screening CT. It is important to objectively assess their clinical utility in order to weigh the potential harm versus potential beneficial impacts of the following: early recall imaging studies/biopsy and health care resource utilization. We aimed to prospectively evaluate clinical utility of the PanCan lung nodule management protocol in the International Lung Screen Trial (ILST).
a9ded1e5ce5d75814730bb4caaf49419 Method
Ever smokers age 55 to 80 years were enrolled into ILST if they has a ≥30 pack-years smoking history and smoked within 15 years or if their PLCO m2012 6 year lung cancer risk was ≥1.51%. Figure 1 shows the ILST lung nodule management protocol based on the PanCan nodule malignancy risk calculator (NEJM 2013;369:908 & BMJ 2014;348:g2253).
4c3880bb027f159e801041b1021e88e8 Result
Since July 2016, 757 ever smokers (mean age 65 years, 44% female, 15% non-Caucasian) had been enrolled. The distribution of malignancy risk categories (CAT) were: CAT1 70%, CAT2 15%, CAT3 11%, CAT4 3.5%, CAT5 0.4%. CT biopsy or bronchoscopic biopsy for diagnosis/staging was done in 16/26 CAT 4 (62%) and 7/84 CAT 3 (8%) participants. Lung cancer was confirmed in 15/757 (2%). Thus far, surgery was performed in 9 CAT 4 and 2 CAT 3 participants, with one benign resection (9%) for a growing FDG avid nodule. Of the 3 CAT5 participants, one was found to have granulomatous changes in an enlarged paratracheal lymph node and two had segmental atelectasis due to mucoid impaction.
8eea62084ca7e541d918e823422bd82e Conclusion
The ILST protocol triaged 70% of the screening cohort with low malignancy risk to biennial screening instead of annual repeat screening. Participants with high malignancy risk (CAT 4+5) were triaged to a diagnostic pathway (4%). Our preliminary results suggest the ILST protocol may decrease resource utilization and potentially minimize risk of screening for participants.
6f8b794f3246b0c1e1780bb4d4d5dc53
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MA20 - Implementation of Lung Cancer Screening (ID 923)
- Event: WCLC 2018
- Type: Mini Oral Abstract Session
- Track: Screening and Early Detection
- Presentations: 1
- Moderators:
- Coordinates: 9/25/2018, 15:15 - 16:45, Room 206 F
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MA20.01 - Lung Cancer Screenee Selection by USPSTF versus PLCOm2012 Criteria – Preliminary ILST Findings (ID 14331)
15:15 - 15:20 | Author(s): Stephen Lam
- Abstract
- Presentation
Background
Background
The National Lung Screening Trial showed that lung cancer screening of high-risk individuals with low dose computed tomography can reduce lung cancer mortality by 20%. Critically important is enrolling high-risk individuals. Most current guidelines including the United States Preventive Services Task Force (USPSTF) and Center for Medicare and Medicaid Services (CMS) recommend screening using variants of the NLST eligibility criteria: smoking ≥30 pack-years, smoking within 15 years, and age 55-80 and 55-77 years. Many studies indicate that using accurate risk prediction models is superior for selecting individuals for screening, but these findings are based on retrospective analyses. The International Lung Screen Trial(ILST) was implemented to prospectively identify which approach is superior.
a9ded1e5ce5d75814730bb4caaf49419 Method
Methods
ILST is a multi-centred trial enrolling 4000 participants. Individuals will be offered screening if they are USPSTF criteria positive or have PLCOm2012 model 6-year risk ≥1.5%. Participants will receive two annual screens and will be followed for six years for lung cancer outcomes. Individuals not qualifying by either criteria will not be offered screening, but samples of them will be followed for lung cancer outcomes. Outcomes in discordant groups, USPSTF+ve/PLCOm2012-ve and USPSTF-ve/PLCOm2012+ve, are informative. Numbers of lung cancers, abnormal suspicious for lung cancer scans (a marker of future lung cancers) and individuals enrolled, and sensitivity and specificity and positive predictive values of the two criteria will be compared.
4c3880bb027f159e801041b1021e88e8 Result
Results
As of March 2018, ILST centers in Canada (British Columbia and Alberta), Australia, and the United Kingdom had enrolled and scanned 1938 individuals. Study results are summarized in Figure 1.
8eea62084ca7e541d918e823422bd82e Conclusion
Conclusion
Interim analysis of ILST data, suggests that classification accuracy of lung cancer screening outcomes support the PLCOm2012 criteria over the USPSTF criteria. Individuals who are USPSTF+ve and PLCOm2012-ve appear to be at such low baseline risk (0.46%) that they may be unlikely to benefit from screening.
6f8b794f3246b0c1e1780bb4d4d5dc53Only Members that have purchased this event or have registered via an access code will be able to view this content. To view this presentation, please login, select "Add to Cart" and proceed to checkout. If you would like to become a member of IASLC, please click here.
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MS29 - Selection into Screening Programs: Interplay of Risk Algorithms, Genetic Markers and Biomarkers (ID 807)
- Event: WCLC 2018
- Type: Mini Symposium
- Track: Screening and Early Detection
- Presentations: 1
- Moderators:
- Coordinates: 9/26/2018, 13:30 - 15:00, Room 206 F
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MS29.03 - Polygenic Risk Score for Risk Assessment (ID 11527)
14:05 - 14:20 | Author(s): Stephen Lam
- Abstract
- Presentation
Abstract not provided
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MTE14 - Nodule Management (Pro Con Debate and Case Presentations) (Ticketed Session) (ID 824)
- Event: WCLC 2018
- Type: Meet the Expert Session
- Track: Screening and Early Detection
- Presentations: 1
- Moderators:
- Coordinates: 9/25/2018, 07:00 - 08:00, Room 206 F
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MTE14.01 - Nodule Management (Pro Con Debate and Case Presentations) (ID 11570)
07:00 - 08:00 | Presenting Author(s): Stephen Lam
- Abstract
- Presentation
Abstract not provided
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OA09 - Prevention and Cessation (ID 909)
- Event: WCLC 2018
- Type: Oral Abstract Session
- Track: Prevention and Tobacco Control
- Presentations: 1
- Moderators:
- Coordinates: 9/24/2018, 15:15 - 16:45, Room 205 BD
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OA09.07 - Association Between Outdoor Air Pollution And Lung Cancer in Female Never Smokers (ID 14485)
16:20 - 16:30 | Author(s): Stephen Lam
- Abstract
- Presentation
Background
Long term exposure to ambient particulate matter (PM2.5) has been associated with an increased risk of developing lung cancer, and is estimated to be responsible for ~23% of global lung cancer deaths. No current lung cancer screening risk prediction model uses air pollution as an individual risk factor in its risk calculation. As smoking rates decrease globally, and air pollution increases, it is important to assess the effect of long term outdoor air pollution exposure on lung cancer risk especially in never smokers.
a9ded1e5ce5d75814730bb4caaf49419 Method
We enrolled 421 patients with newly diagnosed lung cancer presenting to BC Cancer and conducted a detailed residential history from birth to estimate their air pollution exposure since 1996 when accurate high-resolution concentration estimates of PM2.5 particulate matter derived from satellite observations and ground measurements became available. The average PM2.5 exposure was quantified by combining residential histories with exposure data.
4c3880bb027f159e801041b1021e88e8 Result
The demographics of the 262(62%) ever smokers, and 159(38%) never smokers with lung cancer are shown in Table 1. Median exposure of all cancer patients was 7.1 PM2.5 ug/m3 (IQR 6.8-7.3; Range 4.3-65.8). Of the ever smokers, 6.1% had a PM2.5 >10 ug/m3 whereas 15.1% of the never smokers had a PM2.5 >10 ug/m3. Among never smokers with lung cancer with high PM2.5 exposure >10 ug/m3, 74% were female and 83% were of Asian descent. Using a logistic regression model, we demonstrated a significant association between air pollution exposure and never smokers compared to ever smokers in women: Odds Ratioper_1_LN-transformed unit = 12.05 (p<0.001). This association was absent in males (interaction p=0.006).
8eea62084ca7e541d918e823422bd82e Conclusion
6f8b794f3246b0c1e1780bb4d4d5dc53
In women with lung cancer, outdoor air pollution exposure was significantly higher in never smokers than in ever smokers. This association was not observed in men with lung cancer.Information from this presentation has been removed upon request of the author.
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P1.11 - Screening and Early Detection (Not CME Accredited Session) (ID 943)
- Event: WCLC 2018
- Type: Poster Viewing in the Exhibit Hall
- Track:
- Presentations: 2
- Moderators:
- Coordinates: 9/24/2018, 16:45 - 18:00, Exhibit Hall
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P1.11-10 - Optimizing Radiomics Features by Minimizing Boundary Effects and Normalizing with Opposite Lung Tissue Characteristics (ID 14062)
16:45 - 18:00 | Author(s): Stephen Lam
- Abstract
Background
For wide adoption of LDCT screening it is thought that CAD will likely by necessary. We hypothesize that CAD features that minimizes perimeter effects and normalizes nodule CT features using the lung parenchyma from the opposite lung will improve the ability to determine nodule malignancy.
a9ded1e5ce5d75814730bb4caaf49419 Method
We have developed a CAD system that includes lung tissue segmentation, nodule detection and feature extraction from the segmented nodule, the segmented nodule minus the perimeter transition pixels (Core), and the opposite lung parenchymal tissue. (See Figure 1).
We use the Mann-Whitney U test to compare teh discriminating ability of individual features and combinations of features) extracted from the nodule, nodule core and nodule normalized by mirror region features.
4c3880bb027f159e801041b1021e88e8 Result
In total, 34 early small suspect baseline nodules detected as part of the PanCan screening trial were used, these include 17 nodules proven to be cancer and 17 nodules that resolved on follow-up scans. The comparison of classification ability of features from nodules without edge vs. nodules with edge pixels reveals that the core features show better classification ability for 76 out of the 136 calculated features.
Performing a leave-one-out LDA classifier cross-validation approach in using core features, gives an accuracy of 76% with only 1 feature through 3 features, and 82% with 4 features. However, repeating the same experiment for core plus edge features, shows accuracy of 67% with only 1 feature, 73% with 3 features, 79% with 4 features. Normalizing the core texture features by the texture features of the mirrored region in the opposite lung shows an improved classification ability for 52 out of the 89 texture features.
8eea62084ca7e541d918e823422bd82e Conclusion
In this study, the results suggest using the nodule core improves feature classification as does normalizing of the nodule by the mirrored region in opposite lung.
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P1.11-15 - Application of Lung-RADS vs. PAN-CAN Nodule Risk Calculation in the Alberta Lung Cancer Screening Study (ID 13052)
16:45 - 18:00 | Author(s): Stephen Lam
- Abstract
Background
False positive or negative examinations and high early recall rates are important factors in the performance of lung cancer screening programs. How low-dose chest tomography (LDCT) scans are interpreted and classified may impact these metrics.
a9ded1e5ce5d75814730bb4caaf49419 Method
LDCT examinations for participants in the Alberta Lung Cancer Screening Study (ALCSS) were interpreted by chest radiologist with information entered in a synoptic report. Baseline scans were classified according to highest risk of malignancy nodule as per the PAN-CAN nodule risk calculator (NRC) and according to the Lung-RADS scheme. A positive scan was any baseline LDCT requiring any intervention beyond an annual screening examination (NRC nodule with ≥5% malignancy risk; Lung-RADS category ≥3). In the calculation of sensitivity, false negative scans could include reader error or classification errors (NRC <5% or Lung-RADS <3 but cancer present regardless of perceived appropriateness of resulting management).
4c3880bb027f159e801041b1021e88e8 Result
Seven hundred and seventy-six participants in the ALCSS underwent LDCT screening and had no prior chest CT imaging on file. Median follow-up was 572 days (+/-205) with lung cancer confirmed in 16 (2.1%) participants. The early recall rate was 9.0% for NRC and 11.2% for Lung-RADS (p=0.044), with fair concordance between each approach (kappa 0.554). Sensitivity for malignancy was 87.5% vs. 87.5% (difference 0%, 95%CI -0.44%-0.44%) and specificity 92.6% vs. 90.4% (difference 2.2%, 95%CI 0.2%-4.3%) for NRC and Lung-RADS respectively. False negative screens were due to reader error (same case in both systems); and classification error (one different case for each system).
8eea62084ca7e541d918e823422bd82e ConclusionCancer +
Cancer -
Total
NRC +
14
56
70
NRC -
2
704
706
Lung-RADS +
14
73
87
Lung-RADS -
2
687
689
Total
16
760
776
Performance of both the NRC and Lung-RADS in the ALCSS was very good, with NRC resulting in a lower early recall rate. Application of the NRC demonstrated increased specificity over Lung-RADS without a change in sensitivity for lung cancer detection. Lung cancer program performance may be improved with the use of the PAN-CAN NRC classification.
6f8b794f3246b0c1e1780bb4d4d5dc53
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P1.16 - Treatment of Early Stage/Localized Disease (Not CME Accredited Session) (ID 948)
- Event: WCLC 2018
- Type: Poster Viewing in the Exhibit Hall
- Track:
- Presentations: 1
- Moderators:
- Coordinates: 9/24/2018, 16:45 - 18:00, Exhibit Hall
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P1.16-34 - The Impact of Pathology, Staging and Operative Resection on Survival and CT Evidence of Recurrence of Early NSCLC (ID 12616)
16:45 - 18:00 | Author(s): Stephen Lam
- Abstract
Background
The purpose of this study is to determine the impact of histopathology, staging and extent of operative resection on survival and CT evidence of recurrence of early NSCLC excised with VATS wedge resection guided by preoperative CT-guided microcoil localization (CTML) and intra-operative fluoroscopic guidance.
a9ded1e5ce5d75814730bb4caaf49419 Method
Between April 2003, to June 2012, 106 of 154 patients who underwent CTML and VATS resection of suspicious pulmonary nodules were found to have NSCLC. Serial chest CTs of the 106 patients with confirmed NSCLC were reviewed by 2 chest radiologists for development of recurrence of the original cancer at the resection margin, lung or mediastinum and the development of new primary lung cancer. 53 patients underwent CTML and VATS resection alone and 53 had CTML, VATS diagnostic resection followed by VATS therapeutic lobectomy. An experienced chest pathologist determined pathologic resection margins, histological subtype and staging.
4c3880bb027f159e801041b1021e88e8 Result
The male/female ratio was 47/59. Median age was 63 (34-81) years. Smoking history obtained in 91/106. Median follow-up was 82 (32-136) months. Histology consisted of 99 adenocarcinomas and 7 squamous carcinomas. Staging (AJCC 8th edition) was Stage 0 (11), IA1 (77), IA2 (2), IA3 (3) IB (8), IIB (4) & IV (1). Both surgical groups were similar for demographics, tumor characteristics, histopathology and stage at surgery; there was no 90-day mortality. Multivariate analysis showed adverse effects on: 1) Local recurrence of cancer (n=3) by positive resection margin (n=2) ***. 2) Any recurrence of original cancer (n=10) by lymph node stage ***, positive resection margin ***, visceral pleural invasion (VPI) *** but not age, gender, smoking history, nodule shape on CT, histopathology, tumor invasive size, STAS, lymphovascular invasion or extent of resection. 3) Development of a new primary NSCLC (n=19) by wedge resection alone* (12/19). The new primary was resected in 13/19 patients. 4) Disease free survival at 3 (89%), 5 (74%) & 9 years (61%) by a positive resection margin ***, VPI **, lymph node stage*, or wedge resection alone *. Overall 5-year survival was 85%. (p<.05 *,p<.01 **, p<.001***)
8eea62084ca7e541d918e823422bd82e Conclusion
In patients with early NSCLC, CTML accurately identifies the cancer margins resulting in a low radiologic local recurrence rate of 3%. Ten patients had recurrence of their original cancer associated with lymph node involvement, positive resection margin, and VPI. Second primary lung cancers are prevalent in long-term survivors, particularly if treated with wedge resection. Completion therapeutic lobectomy following diagnostic wedge resection of NSLC improves disease-free survival.
6f8b794f3246b0c1e1780bb4d4d5dc53
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P2.11 - Screening and Early Detection (Not CME Accredited Session) (ID 960)
- Event: WCLC 2018
- Type: Poster Viewing in the Exhibit Hall
- Track:
- Presentations: 1
- Moderators:
- Coordinates: 9/25/2018, 16:45 - 18:00, Exhibit Hall
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P2.11-23 - Risk Perception Among a Lung Cancer Screening Population (ID 13045)
16:45 - 18:00 | Author(s): Stephen Lam
- Abstract
Background
To make lung cancer screening feasible, populations with the highest risk of developing cancer need to be targeted. Furthermore, factors which motivate individuals to participate in lung cancer screening programs should be integrated into recruitment strategies. Among these motivators, an individual’s perception of their lung cancer risk is an important consideration. This paper analyzes factors associated with risk perception in subjects enrolled in the Pan-Canadian Early Detection of Lung Cancer Study (PanCan), and assesses the relationship between subjects’ risk perception and actual calculated risk.
a9ded1e5ce5d75814730bb4caaf49419 Method
The PanCan low-dose screening CT study recruited individuals from the general population who were current or former smokers age 50-75 having at least a 2% risk of developing lung cancer over 6 years as calculated by the PanCan model. Risk perception was captured at baseline with a 5-point Likert scale question asking the subject to assess their personal chances of being diagnosed with lung cancer compared with other smokers of the same age. Multivariate linear regression analysis was used to assess the relationship between risk factors and risk perception. Baseline risk variables in the model include demographics, smoking history, symptoms, medications, occupation, previous chest imaging, history of COPD, medical comorbidities, and family history of cancer.
4c3880bb027f159e801041b1021e88e8 Result
2514 patients were included in the analysis. Median age was 62.3, 55.3% were male, median pack-year smoking history was 50 years (range 2.2-230), and median calculated lung cancer risk was 3.4% over 6 years (range 2-38.2). Calculated lung cancer risk increased by 0.08% (SE 0.02, p-value=0.001) for each increase in Likert risk perception category. On multivariable analysis, the following variables were associated with risk perception category: cigarettes smoked per day (+0.003 increase in category / cigarette, p=0.083), presence of dyspnea (+0.192), presence of wheeze (+0.272), known COPD (+0.110), no family history of cancer (-0.476) and no family history of lung cancer (-0.385) (all p<0.001). Increased perception of risk was associated with intent to quit smoking within 6 months (p<0.001).
8eea62084ca7e541d918e823422bd82e Conclusion
In this lung cancer screening study, risk perception was positively associated with calculated risk for lung cancer, despite a minimum 2% risk in the cohort. Individual factors and family history of cancer predicted risk perception. Risk perception was also associated with a willingness to quit smoking. Self-risk perception and associated factors could be used to tailor recruitment strategies to screening programs. The link between risk perception and willingness to quit smoking could aid integrated tobacco cessation programs.
6f8b794f3246b0c1e1780bb4d4d5dc53
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P3.09 - Pathology (Not CME Accredited Session) (ID 975)
- Event: WCLC 2018
- Type: Poster Viewing in the Exhibit Hall
- Track:
- Presentations: 1
- Moderators:
- Coordinates: 9/26/2018, 12:00 - 13:30, Exhibit Hall
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P3.09-11 - Genomic Organization at Large Scales (GOALS) within Nuclei and Cell Sociology for Predicting Lung Cancer Outcomes (ID 14160)
12:00 - 13:30 | Author(s): Stephen Lam
- Abstract
Background
Accurate prediction of the biological aggressiveness of lung cancers in patients from limited material could have utility with respect to patient treatment planning. We examined the hypothesis that the quantification of large scale DNA organization or GOALS within the nucleus combined with tumour microenvironment as quantified by cell sociology (which cells types are adjacent which cell types) could predict patient outcomes.
a9ded1e5ce5d75814730bb4caaf49419 Method
Tissue (TMA cores) from patients with poor outcomes (lung cancer mortality within 24 months) and good outcomes (5+ year survivors) was stained using a stochiometric DNA stain (Feulgen-Thionin). High resolution brightfield imaging of 29 cores was performed using multiple wavelengths and spectral unmixing used to retrieve the DNA concentration at every pixel. In house software was used to automatically segment all the nuclei within each core, calculate 100+ features for each nucleus and classify each nucleus as epithelial, stromal or immune in origin. Further each nucleus was scored as coming from a patient with poor or good outcome.
For each TMA core the percentage of these cell categories was tabulated as well as cell-cell association frequencies (for example the frequently an epithelial cell predicted to have come from a patient with good outcome was found next to a stromal cell predicted to come from a patient with poor outcome). Cell percentages and cell-cell interaction frequencies were used to predict patient outcome.
4c3880bb027f159e801041b1021e88e8 Result
8eea62084ca7e541d918e823422bd82e Conclusion
Many of the individually calculated features had a statistically significant association with patient outcome. Four+ features could predict outcome with an 79% accuracy, 15+ different pairs of features could predict patient outcome with greater than 85% accuracy. Epithelial- stromal cell interactions and stromal cell – immune cell interactions were particularly predictive of outcome suggesting that microenvironment cell - tumour cell interactions predict future biological activity.
This pilot study suggests that GOALS and cell sociology could predict patient outcomes.
6f8b794f3246b0c1e1780bb4d4d5dc53
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P3.11 - Screening and Early Detection (Not CME Accredited Session) (ID 977)
- Event: WCLC 2018
- Type: Poster Viewing in the Exhibit Hall
- Track:
- Presentations: 1
- Moderators:
- Coordinates: 9/26/2018, 12:00 - 13:30, Exhibit Hall
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P3.11-03 - Implementing Lung Cancer Screening in Canada: Evidence on Adherence and Budget Impact from the Pan-Canadian Early Detection Study (ID 13417)
12:00 - 13:30 | Author(s): Stephen Lam
- Abstract
Background
High-risk lung cancer screening has favourable cost-effectiveness ratios; making it an attractive intervention for lung cancer control. Relatively little is known, however, about the implementation of lung cancer screening in universal health care systems. To address this, we characterize screening adherence rates in the Pan-Canadian Early Detection of Lung Cancer Study (PanCan) and prepare a budget impact analysis for Canada.
a9ded1e5ce5d75814730bb4caaf49419 Method
We retrospectively characterized screening adherence to short-term (first-year) and long-term (year-four) annual screening rounds in the PanCan study and explored association with socio-demographic and screening characteristics with logistic regression models and Mann-Whitney rank sum and Chi square likelihood tests. We did a four-year budget impact analysis using published utilization rates for screening-related and incidental healthcare resources, smoking cessation, opportunistic screening and projected market dynamics for entrant treatments in Canada.
4c3880bb027f159e801041b1021e88e8 Result
The PanCan study screened 2537 participants with a baseline LDCT exam; of these, 2254 (88.9%) adhered to the second annual screening exam and 1,762 (69.5%) adhered to the year four exam. After adjusting for lung cancer incidences and other-cause mortality, we found significant associations between self-reported “current smoker” status and lower, second annual scan adherence rates (p<0.05); while variables related to the delivery of the intervention—such as the use of screening autofluorescence bronchoscopy and finding a lung nodule on the baseline LDCT—were significantly associated with greater adherence (p<0.05). Adherence to year-four screening exams was positively associated with age, family history of lung cancer, baseline quality of life and prior screening exam adherence (all p<0.05). Non-adherence was significantly associated with participants who had greater than 100 pack-years of smoking history and a lower level of formal education (p<0.05). Compared to participants who adhered to their scheduled, year-four annual screening exams, non-adherent participants had a higher predicted risk of developing lung cancer at baseline (p<0.05). The budget impact analysis indicates that the incremental program costs for screening an estimated 257, 914 eligible, high-risk, Canadians would be highly favourable compared to selection based on age and smoking history alone. The budget impact was also sensitive to uncertainty around the cost to treat actionable incidental findings and the adoption of entrant systemic therapy drugs.
8eea62084ca7e541d918e823422bd82e Conclusion
Study participants who were at the highest risk of developing lung cancer, were the least likely to adhere to screening. Using risk selection would enable affordable programs; however, programs may be compromised by barriers to participation for individuals who are at the greatest risk of developing lung cancer.
6f8b794f3246b0c1e1780bb4d4d5dc53
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SH03 - Highlight of the Previous Day Sessions (ID 885)
- Event: WCLC 2018
- Type: Highlight of the Day Session
- Track:
- Presentations: 1
- Moderators:
- Coordinates: 9/26/2018, 07:00 - 08:00, Room 107
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SH03.04 - Screening (ID 14787)
07:36 - 07:48 | Presenting Author(s): Stephen Lam
- Abstract
- Presentation
Abstract not provided
Only Members that have purchased this event or have registered via an access code will be able to view this content. To view this presentation, please login, select "Add to Cart" and proceed to checkout. If you would like to become a member of IASLC, please click here.
