scholarly journals Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Hanqing Chao ◽  
Hongming Shan ◽  
Fatemeh Homayounieh ◽  
Ramandeep Singh ◽  
Ruhani Doda Khera ◽  
...  

AbstractCancer patients have a higher risk of cardiovascular disease (CVD) mortality than the general population. Low dose computed tomography (LDCT) for lung cancer screening offers an opportunity for simultaneous CVD risk estimation in at-risk patients. Our deep learning CVD risk prediction model, trained with 30,286 LDCTs from the National Lung Cancer Screening Trial, achieves an area under the curve (AUC) of 0.871 on a separate test set of 2,085 subjects and identifies patients with high CVD mortality risks (AUC of 0.768). We validate our model against ECG-gated cardiac CT based markers, including coronary artery calcification (CAC) score, CAD-RADS score, and MESA 10-year risk score from an independent dataset of 335 subjects. Our work shows that, in high-risk patients, deep learning can convert LDCT for lung cancer screening into a dual-screening quantitative tool for CVD risk estimation.

2019 ◽  
Vol 65 (2) ◽  
pp. 224-233
Author(s):  
Sergey Morozov ◽  
Viktor Gombolevskiy ◽  
Anton Vladzimirskiy ◽  
Albina Laypan ◽  
Pavel Kononets ◽  
...  

Study aim. To justify selective lung cancer screening via low-dose computed tomography and evaluate its effectiveness. Materials and methods. In 2017 we have concluded the baseline stage of “Lowdose computed tomography in Moscow for lung cancer screening (LDCT-MLCS)” trial. The trial included 10 outpatient clinics with 64-detector CT units (Toshiba Aquilion 64 and Toshiba CLX). Special low-dose protocols have been developed for each unit with maximum effective dose of 1 mSv (in accordance with the requirements of paragraph 2.2.1, Sanitary Regulations 2.6.1.1192-03). The study involved 5,310 patients (53% men, 47% women) aged 18-92 years (mean age 62 years). Diagnosis verification was carried out in the specialized medical organizations via consultations, additional instrumental, laboratory as well as pathohistological studies. The results were then entered into the “National Cancer Registry”. Results. 5310 patients (53% men, 47% women) aged 18 to 92 years (an average of 62 years) participated in the LDCT-MLCS. The final cohort was comprised of 4762 (89.6%) patients. We have detected 291 (6.1%) Lung-RADS 3 lesions, 228 (4.8%) Lung- RADS 4A lesions and 196 (4.1%) Lung-RADS 4B/4X lesions. All 4B and 4X lesions were routed in accordance with the project's methodology and legislative documents. Malignant neoplasms were verified in 84 cases (1.76% of the cohort). Stage I-II lung cancer was actively detected in 40.3% of these individuals. For the first time in the Russian Federation we have calculated the number needed to screen (NNS) to identify one lung cancer (NNS=57) and to detect one Stage I lung cancer (NNS=207). Conclusions. Based on the global experience and our own practices, we argue that selective LDCT is the most systematic solution to the problem of early-stage lung cancer screening.


2021 ◽  
Vol 16 (10) ◽  
pp. S1176
Author(s):  
L. Jungblut ◽  
J. Walter ◽  
C. Zellweger ◽  
M. Patella ◽  
D. Franzen ◽  
...  

2019 ◽  
Vol 29 (2) ◽  
pp. 266-274 ◽  
Author(s):  
Marcin Ostrowski ◽  
Tomasz Marjański ◽  
Robert Dziedzic ◽  
Małgorzata Jelitto-Górska ◽  
Katarzyna Dziadziuszko ◽  
...  

Abstract OBJECTIVES The European Society of Thoracic Surgeons’ recommendations confirm the implementation of lung cancer screening in Europe. We compared 2 screening programmes, the Pilot Pomeranian Lung Cancer Screening Programme (pilot study) and the Moltest Bis programme, completed in a single centre. METHODS A total of 8649 healthy volunteers (aged 50–75 years, smoking history ≥20 pack-years) were enrolled in a pilot study between 2009 and 2011, and a total of 5534 healthy volunteers (aged 50–79, smoking history ≥30 pack-years) were enrolled in the Moltest Bis programme between 2016 and 2017. Each participant had a low-dose computed tomography scan of the chest. Participants with a nodule diameter of >10 mm or with suspected tumour morphology underwent a diagnostic work-up in the pilot study. In the Moltest Bis programme, the criteria were based on the volume of the detected nodule on the baseline low-dose computed tomography scan and the volume doubling time in the subsequent rounds. RESULTS Lung cancer was diagnosed in 107 (1.24%) and 105 (1.90%) participants of the pilot study and of the Moltest Bis programme, respectively (P = 0.002). A total of 300 (3.5%) and 199 (3.6%) patients, respectively, were referred for further invasive diagnostic work-ups (P = 0.69). A total of 125 (1.5%) and 80 (1.5%) patients, respectively, underwent surgical resection (P = 0.74). The number of resected benign lesions was similar: 44 (35.0%) and 20 (25.0%), respectively (P = 0.13), but with a downwards trend. Lobectomies and/or segmentectomies were performed in 84.0% and 90.0% of patients with lung cancer, respectively (P = 0.22). Notably, patients in the Moltest Bis programme underwent video-assisted thoracoscopic surgery more often than did those in the pilot study (72.5% vs 24.0%, P < 0.001). Surgical patients with stages I and II non-small-cell lung cancer (NSCLC) accounted for 83.4% of the Moltest patients and 86.4% of the pilot study patients (P = 0.44). CONCLUSIONS Modified inclusion criteria in the screening programme lead to a higher detection rate of NSCLC. Growing expertise in lung cancer screening leads to increased indications for minimally invasive surgery and an increased proportion of lung-sparing resections. A single-team experience in lung cancer screening does not lead to a major reduction in the rate of diagnostic procedures and operations for non-malignant lesions.


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