Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening

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1. Deep learning for the detection of benign and malignant pulmonary nodules in non-screening chest CT scans
   Ward Hendrix, Nils Hendrix, Ernst T. Scholten, Mariëlle Mourits, Joline Trap-de Jong, Steven Schalekamp, Mike B.J.M. Korst, Maarten H van Leuken, Bram van Ginneken, Mathias Prokop et al. · 2023 · Communications Medicine
2. PET/CT versus MRI for diagnosis, staging, and follow-up of lung cancer
   Hyun Su Kim, Kyung Soo Lee, Yoshiharu Ohno, Edwin J.R. van Beek, J. Biederer · 2014 · Journal of Magnetic Resonance Imaging
3. Use of Lung Cancer Screening Tests in the United States: Results from the 2010 National Health Interview Survey
   Vincent Paul Doria-Rose, Mary C. White, Carrie N. Klabunde, Marion R. Nadel, Thomas B. Richards, Timothy S. McNeel, Juan L. Rodriguez, Pamela M. Marcus · 2012 · Cancer Epidemiology Biomarkers & Prevention
4. Serum free fatty acid biomarkers of lung cancer
   Liu, Jinbo, Mazzone, Peter J., Cata, Juan P., Kurz, Andrea, Bauer, Maria, Mascha, Edward J., Sessler, Daniel I. · 2014 · Chest
5. Ultralow dose CT for pulmonary nodule detection with chest x-ray equivalent dose – a prospective intra-individual comparative study
   Michael Messerli, Thomas Kluckert, Meinhard Knitel, Stephan L. Waelti, Lotus May Desbiolles, Fabian Rengier, René Warschkow, Ralf W. Bauer, Hatem Alkadhi, Sebastian Leschka et al. · 2017 · European Radiology
6. Recent Advances in Exosomal Protein Detection Via Liquid Biopsy Biosensors for Cancer Screening, Diagnosis, and Prognosis
   Chang Liu, Yunchen Yang, Yun Wu · 2018 · The AAPS Journal
7. Future Options of Molecular-Targeted Therapy in Small Cell Lung Cancer
   Arik Bernard Schulze, Georg Evers, Andrea Kerkhoff, Michael Möhr, Christoph Schliemann, Wolfgang E. Berdel, Lars Henning Schmidt · 2019 · Cancers
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   Qingwei Wu, Lili Yu, Xiaoqing Lin, Qingzhu Zheng, Songgao Zhang, Dunyan Chen, Xiaojie Pan, Yi Huang · 2020 · Cancer Management and Research
9. Overdiagnosis of lung cancer with low-dose computed tomography screening: meta-analysis of the randomised clinical trials
   John Brodersen, Theis Voss, Frederik Martiny, Volkert Siersma, Alexandra L Barratt, Bruno Heleno · 2020 · Breathe
10. Integrated imaging and molecular analysis to decipher tumor microenvironment in the era of immunotherapy
    Jia Wu, Aaron T. Mayer, Ruijiang Li · 2020 · Seminars in Cancer Biology
11. Integrated Biomarkers for the Management of Indeterminate Pulmonary Nodules
    Michael Nolan Kammer, Dhairya A. Lakhani, Aneri Balar, Sanja Antic, Amanda K. Kussrow, Rebekah L. Webster, Shayan Sinha Mahapatra, Udaykamal Barad, Chirayu Shah, Thomas Atwater et al. · 2021 · American Journal of Respiratory and Critical Care Medicine
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    Xiaoshuang Feng, Hana Zahed, Justina Ucheojor Onwuka, Matthew E.J. Callister, Mattias Johansson, Ruth Etzioni, Hilary A. Robbins · 2024 · JAMA
13. Pulmonary Nodules: Growth Rate Assessment in Patients by Using Serial CT and Three-dimensional Volumetry
    Jane P. Ko, Erika J. Berman, Manmeen Kaur, James S. Babb, Elan D. Bomsztyk, Alissa K. Greenberg, David P. Naidich, Henry Rusinek · 2011 · Radiology
14. Functional Identification of Cancer-Specific Methylation of CDO1 , HOXA9 , and TAC1 for the Diagnosis of Lung Cancer
    John M. Wrangle, Emi Ota Machida, Ludmila Danilova, Alicia Hulbert, Noreli C. Franco, Wei Zhang, Sabine C. Glöckner, Mathewos Tessema, Leander Van Neste, Hariharan Easwaran et al. · 2014 · Clinical Cancer Research
15. Psychological Burden Associated With Lung Cancer Screening: A Systematic Review
    Geena X. Wu, Dan J. Raz, Laura Mae Brown, Virginia Chih-Yi Sun · 2016 · Clinical Lung Cancer
16. Management of stage I and II nonsmall cell lung cancer
    Fiona McDonald, Michèle De Waele, Lizza E.L. Hendriks, Corinne Faivre Finn, Anne‐Marie C. Dingemans, Paul E. Van Schil · 2016 · European Respiratory Journal
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    Reena Thriumani, Ammar Zakaria, Yumi Zuhanis Has-Yun Hashim, Amanina Iymia Jeffree, Khaled Helmy, Latifah Munirah Kamarudin, Mohammad Iqbal Omar, Ali Yeon Md Shakaff, Abdul Hamid Adom, Krishna C. Persaud · 2018 · BMC Cancer
18. Patients’ Attitudes Regarding Lung Cancer Screening and Decision Aids. A Survey and Focus Group Study
    Kristina A. Crothers, Erin K. Kross, Lisa M. Reisch, Shahida Shahrir, Christopher G. Slatore, Steven B. Zeliadt, Matthew Triplette, Rafael Meza, Joann G. Elmore · 2016 · Annals of the American Thoracic Society
19. Comorbid Conditions in Idiopathic Pulmonary Fibrosis: Recognition and Management
    Justin M. Oldham, Harold R. Collard · 2017 · Frontiers in Medicine
20. JOURNAL CLUB: Computer-Aided Detection of Lung Nodules on CT With a Computerized Pulmonary Vessel Suppressed Function
    Shih‐Chung B. Lo, Matthew T. Freedman, Laura B. Gillis, CHARLES STANLEY WHITE, Seong K. Mun · 2018 · American Journal of Roentgenology
21. Recommendations for Implementing Lung Cancer Screening with Low-Dose Computed Tomography in Europe
    Giulia Veronesi, David Baldwin, Claudia I. Henschke, Simone Ghislandi, Sergio Iavicoli, Matthijs Oudkerk, Harry J. de Koning, Joseph Shemesh, John K. Field, Javier J. Zulueta et al. · 2020 · Cancers
22. Pragmatic trials can be designed as optimal medical care: principles and methods of care trials
    Jean Raymond, Tim E. Darsaut, Douglas G. Altman · 2014 · Journal of Clinical Epidemiology
23. Lung Cancer Screening Beyond Low-Dose Computed Tomography: The Role of Novel Biomarkers
    Naveed Hasan, Rohit Kumar, Mani S. Kavuru · 2014 · Lung
24. The Utility of Nodule Volume in the Context of Malignancy Prediction for Small Pulmonary Nodules
    Hiren J. Mehta, James G. Ravenel, Stephanie R. Shaftman, Nichole T. Tanner, Luca Paoletti, Katherine K. Taylor, Martin Carl Tammemägi, Mario Gómez, Paul J. Nietert, Michael K. Gould et al. · 2013 · CHEST Journal
25. Epigenetics in idiopathic pulmonary fibrosis
    Argyrios Tzouvelekis, Naftali Kaminski · 2015 · Biochemistry and Cell Biology
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    Underwood, Jacob J., Quadri, Rehan S., Kalva, Sanjeeva P., Shah, Hriday, Sanjeeviah, Aravind R., Beg, Muhammad S., Sutphin, Patrick D. · 2020 · Radiology
27. Role of imaging in the era of precision medicine
    Giardino, Angela, Gupta, Supriya, Olson, Emmi, Sepulveda, Karla, Lenchik, Leon, Ivanidze, Jana, Rakow-Penner, Rebecca, Patel, Midhir J., Subramaniam, Rathan M., Ganeshan, Dhakshinamoorthy · 2017 · Academic Radiology
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    Myrna C. B. Godoy, David P. Naidich · 2012 · Journal of Thoracic Imaging
29. Mortality Rates in Smokers and Nonsmokers in the Presence or Absence of Coronary Artery Calcification
    John William McEvoy, Michael Joseph Blaha, Juan J. Rivera, Matthew Jay Budoff, Atif N. Khan, Leslee J. Shaw, Daniel S. Berman, Paolo Raggi, James K. Min, John A. Rumberger et al. · 2012 · JACC. Cardiovascular imaging
30. iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network
    Guilherme Aresta, Colin Jacobs, Teresa Araújo, António Manuel Trigueiros da Silva Cunha, Isabel M. Ramos, Bram van Ginneken, Aurélio Campilho · 2019 · Scientific Reports
31. Evaluating the performance of a deep learning‐based computer‐aided diagnosis (DL‐CAD) system for detecting and characterizing lung nodules: Comparison with the performance of double reading by radiologists
    Li Li, Zhou Liu, Hua Huang, Lin Meng, Dehong Luo · 2018 · Thoracic Cancer
32. Automated pulmonary nodule detection in CT images using 3D deep squeeze-and-excitation networks
    Li Gong, Shan Jiang, Zhiyong Yang, Guobin Zhang, Lu Wang · 2019 · International Journal of Computer Assisted Radiology and Surgery
33. Effects of low-dose computed tomography on lung cancer screening: a systematic review, meta-analysis, and trial sequential analysis
    Kai‐Lin Huang, Shih-Yuan Wang, Wan‐Chen Lu, Ya-Hui Chang, Jian Su, Yen‐Ta Lu · 2019 · BMC Pulmonary Medicine
34. Biological Effects of Low-Dose Chest CT on Chromosomal DNA
    Hiroaki Sakane, Mari Ishida, Lin Shi, Wataru Fukumoto, Chiemi Sakai, Yoshihiro Miyata, Takafumi Ishida, Tomoyuki Akita, Morihito Okada, Kazuo Awai et al. · 2020 · Radiology
35. Yorkshire Lung Screening Trial (YLST): protocol for a randomised controlled trial to evaluate invitation to community-based low-dose CT screening for lung cancer versus usual care in a targeted population at risk
    Philip A.J. Crosbie, Rhian Gabe, Irene Simmonds, Martyn Kennedy, Suzanne Rogerson, Nazia Ahmed, David Baldwin, Richard Booton, Ann Cochrane, Michael J. Darby et al. · 2020 · BMJ Open
36. Accurate classification of pulmonary nodules by a combined model of clinical, imaging, and cell-free DNA methylation biomarkers: a model development and external validation study
    Jianxing He, Bo Wang, Jinsheng Tao, Qin Liu, Minhua Peng, Shan Xiong, Jianfu Li, Bo Cheng, Caichen Li, Shunjun Jiang et al. · 2023 · The Lancet Digital Health
37. C hina national lung cancer screening guideline with low‐dose computed tomography (2015 version)
    Qinghua Zhou, Yaguang Fan, Hong Bu, Ying Wang, Ning Wu, Yunchao Huang, Guiqi Wang, Xin‐yun Wang, You‐Lin Qiao · 2015 · Thoracic Cancer
38. Lung cancer screening: latest developments and unanswered questions
    Carlijn M. van der Aalst, Kevin ten Haaf, Harry J. de Koning · 2016 · The Lancet Respiratory Medicine
39. Potential clinical utility of ultrasensitive circulating tumor DNA detection with CAPP-Seq
    Scott Victor Bratman, Aaron M. Newman, Ash A. Alizadeh, Maximilian Diehn · 2015 · Expert Review of Molecular Diagnostics
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    Peter Brian Bach, Michael K. Gould · 2012 · Annals of Internal Medicine
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    Ernest J. Wright, Federico Ricciardi, Mark P. Arts, Jacob Maciej Buchowski, Chun Kee Chung, Maarten Hubert Coppes, Hugh Alan Crockard, Bart Depreitere, Michael George Fehlings, Norio Kawahara et al. · 2018 · World Neurosurgery
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    Muhammad Sajawal Ali, Jaskaran Singh Sethi, Amit Taneja, Ali Imran Musani, Fabien Maldonado · 2018 · Annals of the American Thoracic Society
43. Second round results from the Manchester ‘Lung Health Check’ community-based targeted lung cancer screening pilot
    Philip A.J. Crosbie, Haval Balata, Matthew Evison, Melanie Atack, Val Bayliss-Brideaux, Denis Colligan, Rebecca Duerden, Josephine Eaglesfield, Timothy Edwards, Peter Elton et al. · 2018 · Thorax
44. Machine Learning and Deep Neural Networks in Thoracic and Cardiovascular Imaging
    Tara Retson, Alexandra H. Besser, Sean Sall, Daniel I Golden, Albert Hsiao · 2019 · Journal of Thoracic Imaging
45. Liquid biopsy for lung cancers: an update on recent developments
    Alberto E. Revelo, Alvaro Martin, Ricardo Velasquez, Prarthna Chandar Kulandaisamy, Jean Bustamante, Sevak Keshishyan, Gregory A. Otterson · 2019 · Annals of Translational Medicine
46. [China National Lung Cancer Screening Guideline with Low-dose Computed Tomography (2018 version)].
    Qinghua Zhou, Yaguang Fan, Ying Wang, You‐Lin Qiao, Guiqi Wang, Yunchao Huang, Xinyun Wang, Ning Wu, Guozheng Zhang, Xiaoxi Zheng et al. · 2018 · Europe PMC (PubMed Central)
47. Biomarkers in Lung Cancer
    Catherine R. Sears, Peter J. Mazzone · 2020 · Clinics in Chest Medicine
48. A review of the role of MRI in diagnosis and treatment of early stage lung cancer
    Austin J. Sim, Evangelia Kaza, Lisa Singer, Stephen A. Rosenberg · 2020 · Clinical and Translational Radiation Oncology
49. Cone-Beam CT Image Guidance With and Without Electromagnetic Navigation Bronchoscopy for Biopsy of Peripheral Pulmonary Lesions
    Roel L.J. Verhoeven, Jurgen J. Fütterer, Wouter Hoefsloot, Erik H.F.M. van der Heijden · 2020 · Journal of Bronchology & Interventional Pulmonology
50. High-resolution metabolomic biomarkers for lung cancer diagnosis and prognosis
    Shi-ang Qi, Qian Wu, Zhenpu Chen, Wei Zhang, Yongchun Zhou, Kaining Mao, Jia Li, Yuanyuan Li, Jie Chen, Youguang Huang et al. · 2021 · Scientific Reports
51. AI-based improvement in lung cancer detection on chest radiographs: results of a multi-reader study in NLST dataset
    Hyunsuk Yoo, Sang Hyup Lee, Chiara Daniela Arru, Ruhani Doda Khera, Ramandeep Singh, Sean M. Siebert, Do‐Hoon Kim, Yuna Lee, Ju Hyun Park, Hye Joung Eom et al. · 2021 · European Radiology
52. Low-dose CT: technique, reading methods and image interpretation
    Cristiano Rampinelli, Daniela Origgi, Massimo Bellomi · 2012 · Cancer Imaging
53. Optimisation of volume-doubling time cutoff for fast-growing lung nodules in CT lung cancer screening reduces false-positive referrals
    Marjolein A. Heuvelmans, Matthijs Oudkerk, Geertruida H. de Bock, Harry J. de Koning, Xueqian Xie, Peter M. A. van Ooijen, Marcel J. W. Greuter, Pim A. de Jong, Harry J.M. Groen, Rozemarijn Vliegenthart · 2013 · European Radiology
54. Lung Cancer Deaths Among American Indians and Alaska Natives, 1990–2009
    Marcus Plescia, S. Jane Henley, Anne Pate, J. Michael Underwood, Kris Rhodes · 2014 · American Journal of Public Health
55. National Lung Screening Trial: Variability in Nodule Detection Rates in Chest CT Studies
    Paul F. Pinsky, David S. Gierada, P. Hrudaya Nath, Ella Annabelle Kazerooni, Judith Korek Amorosa · 2013 · Radiology
56. Smoking and lung cancer-induced changes in N-glycosylation of blood serum proteins
    Jacqueline A. Vasseur, John A. Goetz, William R. Alley, Miloš V. Novotný · 2012 · Glycobiology
57. Genetic susceptibility to lung cancer--light at the end of the tunnel?
    Ariela Lucy Marshall, David C. Christiani · 2013 · Carcinogenesis
58. Cardiac Imaging in the Diagnosis of Coronary Artery Disease
    Ashvarya Mangla, Estefanía Oliveros, Kim Allan Williams Sr., Dinesh Kumar Kalra · 2017 · Current Problems in Cardiology
59. Predicting lung nodule malignancies by combining deep convolutional neural network and handcrafted features
    Shulong Li, Panpan Xu, Bin Li, Liyuan Chen, Zhiguo Zhou, Hongxia Hao, Yingying Duan, Michael Ryan Folkert, Jianhua Ma, Shiying Huang et al. · 2019 · Physics in Medicine and Biology
60. Lung cancer costs by treatment strategy and phase of care among patients enrolled in Medicare
    Deirdre F. Sheehan, Steven D. Criss, Yufan Chen, Andrew L. Eckel, Lauren L. Palazzo, Angela C. Tramontano, Chin Hur, Lauren E. Cipriano, Chung Yin Kong · 2018 · Cancer Medicine
61. Accuracy and Reproducibility of Intraoperative Assessment on Tumor Spread Through Air Spaces in Stage 1 Lung Adenocarcinomas
    Julian A. Villalba, Angela R. Shih, Treah May Sayo, Keiko Kunitoki, Yin Pun Hung, Amy Ly, Marina Kem, Lida P. Hariri, Ashok Muniappan, Henning A. Gaissert et al. · 2020 · Journal of Thoracic Oncology
62. Artificial Intelligence Tool for Assessment of Indeterminate Pulmonary Nodules Detected with CT
    Roger Y. Kim, Jason Lee Oke, L. Pickup, Reginald F. Munden, Travis L. Dotson, Christina Bellinger, Avi Cohen, Michael Simoff, Pierre P. Massion, Claire Filippini et al. · 2022 · Radiology
63. Current and Future Perspectives on Computed Tomography Screening for Lung Cancer: A Roadmap From 2023 to 2027 From the International Association for the Study of Lung Cancer
    Stephen C. Lam, Chunxue Bai, David Baldwin, Yan Chen, Casey Connolly, Harry J. de Koning, Marjolein A. Heuvelmans, Ping Hu, Ella Annabelle Kazerooni, Harriet L Lancaster et al. · 2023 · Journal of Thoracic Oncology
64. VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging
    Yufan He, Pengfei Guo, Yucheng Tang, Andriy Myronenko, Vishwesh Nath, Ziyue Xu, Dong Fang Yang, Can Zhao, Benjamin Simon, Mason J. Belue et al. · 2025 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
65. LLPi: Liverpool Lung Project Risk Prediction Model for Lung Cancer Incidence
    Michael W. Marcus, Ying Chen, Olaide Y. Raji, S.W. Duffy, John K. Field · 2015 · Cancer Prevention Research
66. Clinical Implications and Added Costs of Incidental Findings in an Early Detection Study of Lung Cancer by Using Low-Dose Spiral Computed Tomography
    Adriano Massimiliano Priola, Sandro Massimo Priola, Matteo Giaj Levra, Edoardo Basso, Andrea Veltri, Cesare Fava, Luciano Cardinale · 2012 · Clinical Lung Cancer
67. Differential miRNA expressions in peripheral blood mononuclear cells for diagnosis of lung cancer
    Jie Ma, Yanli Lin, Min Zhan, Dean L. Mann, Sanford A. Stass, Feng Jiang · 2015 · Laboratory Investigation
68. Patients’ Knowledge, Beliefs, and Distress Associated with Detection and Evaluation of Incidental Pulmonary Nodules for Cancer: Results from a Multicenter Survey
    Marc R. Freiman, Jack Allen Clark, Christopher G. Slatore, Michael K. Gould, Steven Woloshin, Lisa M. Schwartz, Renda Soylemez Wiener · 2016 · Journal of Thoracic Oncology
69. Cancer and scleroderma
    Ami A. Shah, Livia A Casciola-Rosen · 2015 · Current Opinion in Rheumatology
70. Detection of lung cancer in exhaled breath with an electronic nose using support vector machine analysis
    Madara Tirzīte, Māris Bukovskis, Gunta Strazda, Normunds Jurka, Immanuels Taivāns · 2017 · Journal of Breath Research
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    Mario Silva, Mathias Prokop, Colin Jacobs, Giovanni Capretti, Nicola Sverzellati, Francesco Ciompi, Bram van Ginneken, Cornelia M. Schaefer‐Prokop, Carlotta Galeone, Alfonso Vittorio Marchianò et al. · 2018 · Journal of Thoracic Oncology
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    Dan J. Raz, Geena X. Wu, Martin Consunji, Rebecca A. Nelson, Heeyoung Kim, Can‐Lan Sun, Virginia Chih-Yi Sun, Jae Yul Kim · 2017 · Clinical Lung Cancer
73. The Present and Future of Liquid Biopsies in Non-Small Cell Lung Cancer: Combining Four Biosources for Diagnosis, Prognosis, Prediction, and Disease Monitoring
    Jillian Wilhelmina Paulina Bracht, Clara Mayo‐de‐las‐Casas, Jordi Berenguer, Niki Karachaliou, Rafael Rosell · 2018 · Current Oncology Reports
74. CT Slice Thickness and Convolution Kernel Affect Performance of a Radiomic Model for Predicting EGFR Status in Non-Small Cell Lung Cancer: A Preliminary Study
    Yajun Li, Lin Lü, Manjun Xiao, Laurent Dercle, Yue Huang, Zishu Zhang, Lawrence Howard Schwartz, Daiqiang Li, Binsheng Zhao · 2018 · Scientific Reports
75. Lung Cancer Screening with Low-Dose CT: Baseline Screening Results in Shanghai
    Li Fan, Yun Wang, Ying Zhou, Qiong Li, Wenjie Yang, Shengping Wang, Fei Shan, Xingwei Zhang, Jingyun Shi, Wufei Chen et al. · 2018 · Academic Radiology
76. Lung Cancer Screening Uptake in the United States
    Patrick C. Yong, Keith Magnus Sigel, Sadiq S. Rehmani, Juan Pablo Wisnivesky, Minal Kale · 2020 · CHEST Journal
77. Performance of ACR Lung-RADS in a Clinical CT Lung Screening Program
    Brady J. McKee, Shawn M. Regis, Andrea B. McKee, Sebastian Flacke, Christoph Wald · 2016 · Journal of the American College of Radiology
78. A 20-year Follow-up of the International Early Lung Cancer Action Program (I-ELCAP)
    Claudia I. Henschke, Rowena Yip, Dorith Shaham, Steven B. Markowitz, José Cervera Deval, Javier J. Zulueta, Luis Miguel Seijo, Cheryl A. Aylesworth, Karl Klingler, Shahriyour K. Andaz et al. · 2023 · Radiology
79. Prenatal stress as possible aetiogenetic factor of homosexuality in human males.
    G Dörner, T Geier, L Ahrens, L Krell, G Münx, H Sieler, E. Kittner, H Müller · 1980 · PubMed
80. 2014 SCCT guidelines for the interpretation and reporting of coronary CT angiography: A report of the Society of Cardiovascular Computed Tomography Guidelines Committee
    Fu‐Zong Wu, Ming‐Tsang Wu · 2015 · Journal of cardiovascular computed tomography
81. Standardized terminology and nomenclature for respiratory cytology: The P apanicolaou Society of Cytopathology guidelines
    Lester James Layfield, Zubair Wahid Baloch, Tarik M. Elsheikh, Leslie A. Litzky, Natasha Rektman, William David Travis, Maureen Frances Zakowski, Matthew A. Zarka, Kim R. Geisinger · 2016 · Diagnostic Cytopathology
82. Generalised probabilistic linguistic evidential reasoning approach for multi-criteria decision-making under uncertainty
    Ran Fang, Huchang Liao, Jianbo Yang, Dong‐Ling Xu · 2019 · Journal of the Operational Research Society
83. Integration of convolutional neural networks for pulmonary nodule malignancy assessment in a lung cancer classification pipeline
    Ilaria Bonavita, Xavier Rafael-Palou, Mario Ceresa, Gemma Piella, Vicent J. Ribas, Miguel Á. González Ballester · 2019 · Computer Methods and Programs in Biomedicine
84. Machine Learning and Feature Selection Methods for Disease Classification With Application to Lung Cancer Screening Image Data
    Darcie A. P. Delzell, Sara Magnuson, Tabitha Peter, Michelle Smith, Brian J. Smith · 2019 · Frontiers in Oncology
85. Prevalence, Symptom Burden, and Underdiagnosis of Chronic Obstructive Pulmonary Disease in a Lung Cancer Screening Cohort
    Mamta Ruparel, Samantha L. Quaife, Jennifer L. Dickson, Carolyn Horst, Sophie Tisi, Helen Hall, Magali N. Taylor, Asia Ahmed, Penny J. Shaw, Stephen J. Burke et al. · 2020 · Annals of the American Thoracic Society
86. Biomarkers and Lung Cancer Early Detection: State of the Art
    Elisa Dama, Tommaso Colangelo, Emanuela Fina, M. Cremonesi, Marinos Kallikourdis, Giulia Veronesi, Fabrizio Bianchi · 2021 · Cancers
87. ACR Lung-RADS v2022: Assessment Categories and Management Recommendations
    Jared D. Christensen, Ashley Elizabeth Prosper, Carol C. Wu, Jonathan Hero Chung, Elizabeth Lee, Brett M. Elicker, Andetta R. Hunsaker, Milena Petranović, Kim Lori Sandler, Brendon Matthew Stiles et al. · 2024 · CHEST Journal
88. Performance of ultralow-dose CT with iterative reconstruction in lung cancer screening: limiting radiation exposure to the equivalent of conventional chest X-ray imaging
    Adrian Thomas Huber, Julia Landau, Lukas Ebner, Yanik Bütikofer, Lars Leidolt, Barbara Brela, Michelle May, Johannes T. Heverhagen, Andreas Christe · 2016 · European Radiology
89. Recent Advances in Bronchoscopic Treatment of Peripheral Lung Cancers
    Kassem N. Harris, Jonathan T. Puchalski, Daniel H. Sterman · 2016 · CHEST Journal
90. Screening for lung cancer: Does MRI have a role?
    J. Biederer, Yoshiharu Ohno, Hiroto Hatabu, Mark L. Schiebler, Edwin J.R. van Beek, Jens Vogel‐Claussen, Hans‐Ulrich Kauczor · 2016 · European Journal of Radiology
91. Real‐world chemotherapy treatment patterns in metastatic non–small cell lung cancer: Are patients undertreated?
    Adrian G. Sacher, Lisa W. Le, Anthea Lau, Craig C. Earle, Natasha B. Leighl · 2015 · Cancer
92. Lung cancer biomarkers: State of the art
    Anurag Agrawal, Vinod Kumar Yadav, Sangeetha Subramaniam, RamKrishna Thakur, Ranjan Kumar Nanda, Shantanu Chowdhury · 2013 · Journal of Carcinogenesis
93. Radiologic Features of Small Pulmonary Nodules and Lung Cancer Risk in the National Lung Screening Trial: A Nested Case-Control Study
    Ying Liu, Hua X. Wang, Qian Li, Melissa J. McGettigan, Yoganand Balagurunathan, Alberto López García, Zachary Thompson, John Heine, Zhaoxiang Ye, Robert J. Gillies et al. · 2017 · Radiology
94. Diagnostic Value of Autoantibodies in Lung Cancer: a Systematic Review and Meta-Analysis
    Jiangyue Qin, Ni Zeng, Ting Yang, Chun Wan, Lei Chen, Yongchun Shen, Fuqiang Wen · 2018 · Cellular Physiology and Biochemistry
95. Machine learning approach for distinguishing malignant and benign lung nodules utilizing standardized perinodular parenchymal features from CT
    Johanna Uthoff, Matthew J. Stephens, John D. Newell, Eric A. Hoffman, Jared Larson, Nicholas Koehn, Frank A. De Stefano, Chrissy M. Lusk, Angela S. Wenzlaff, Donovan Watza et al. · 2019 · Medical Physics
96. Peritumoral and intratumoral radiomic features predict survival outcomes among patients diagnosed in lung cancer screening
    Jaileene Pérez‐Morales, Ilke Tunali, Olya Stringfield, Steven A. Eschrich, Yoganand Balagurunathan, Robert J. Gillies, Matthew B. Schabath · 2020 · Scientific Reports
97. Performance of a Deep Learning Algorithm Compared with Radiologic Interpretation for Lung Cancer Detection on Chest Radiographs in a Health Screening Population
    Jong Hyuk Lee, Hye Young Sun, Sunggyun Park, Hyungjin Kim, Eui Jin Hwang, Jin Mo Goo, Chang Min Park · 2020 · Radiology
98. Lung cancer screening and smoking cessation efforts
    Dana Moldovanu, Harry J. de Koning, Carlijn M. van der Aalst · 2021 · Translational Lung Cancer Research
99. Geographic access to lung cancer screening among eligible adults living in rural and urban environments in the United States
    Liora Sahar, Vanhvilai L. Douangchai Wills, Ka Kit Liu, Stacey A. Fedewa, Lauren S. Rosenthal, Ella Annabelle Kazerooni, Debra Sue Dyer, Robert Allen Smith · 2022 · Cancer
100. Lung cancer trends and tumor characteristic changes over 20 years (2000–2020): Results of three French consecutive nationwide prospective cohorts’ studies
     Didier Debieuvre, Olivier Molinier, Lionel Falchero, Chrystèle Locher, Dorine Templement-Grangerat, Nicolás Meyer, Hugues Morel, Yannick Duval, Bernard Jean Roger Asselain, Alexia Letierce et al. · 2022 · The Lancet Regional Health - Europe