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For: Beek EJV, Mirsadraee S, Murchison JT. Lung cancer screening: Computed tomography or chest radiographs? World J Radiol 2015; 7(8): 189-193 [PMID: 26339461 DOI: 10.4329/wjr.v7.i8.189]
URL: https://www.wjgnet.com/1949-8470/full/v7/i8/189.htm
Number Citing Articles
1
Richard D. Pitcher. Radiology in Global Health2019; : 157 doi: 10.1007/978-3-319-98485-8_14
2
Joanne Wing Yan Chiu, Soo Chin Lee, James Chung-man Ho, Yeon Hee Park, Ta-Chung Chao, Sung-Bae Kim, Elgene Lim, Ching-Hung Lin, Sherene Loi, Su Ying Low, Lynette Li San Teo, Winnie Yeo, Rebecca Dent. Clinical Guidance on the Monitoring and Management of Trastuzumab Deruxtecan (T-DXd)-Related Adverse Events: Insights from an Asia-Pacific Multidisciplinary PanelDrug Safety 2023; 46(10): 927 doi: 10.1007/s40264-023-01328-x
3
Mitsunori Higuchi, Takeshi Nagata, Kohei Iwabuchi, Akira Sano, Hidemasa Maekawa, Takayuki Idaka, Manabu Yamasaki, Chihiro Seko, Atsushi Sato, Junzo Suzuki, Yoshiyuki Anzai, Takashi Yabuki, Takuro Saito, Hiroyuki Suzuki. Development of a novel artificial intelligence algorithm to detect pulmonary nodules on chest radiographyFUKUSHIMA JOURNAL OF MEDICAL SCIENCE 2023; 69(3): 177 doi: 10.5387/fms.2023-14
4
Francesca M Trovato, Daniela Catalano, Guglielmo M Trovato. Thoracic ultrasound: An adjunctive and valuable imaging tool in emergency, resource-limited settings and for a sustainable monitoring of patientsWorld Journal of Radiology 2016; 8(9): 775-784 doi: 10.4329/wjr.v8.i9.775
5
Deniz Nisham Anwer, Serkan Ozbay. Lung Cancer Classification and Detection Using Convolutional Neural NetworksProceedings of the 6th International Conference on Engineering & MIS 2020 2020; : 1 doi: 10.1145/3410352.3410822
6
Anchal Jain, Bejoy Philip, Munira Begum, William Wang, Michael Ogunjimi, Amer Harky. Risk Stratification for Lung Cancer PatientsCureus 2022;  doi: 10.7759/cureus.30643
7
Julio Mendoza, Helio Pedrini. Detection and classification of lung nodules in chest X‐ray images using deep convolutional neural networksComputational Intelligence 2020; 36(2): 370 doi: 10.1111/coin.12241
8
Chin Fung Kelvin Kan, Graham D. Unis, Luke Z. Li, Susan Gunn, Li Li, H. Peter Soyer, Mitchell S. Stark. Circulating Biomarkers for Early Stage Non-Small Cell Lung Carcinoma Detection: Supplementation to Low‐Dose Computed TomographyFrontiers in Oncology 2021; 11 doi: 10.3389/fonc.2021.555331
9
Yongzhong Ouyang, Junwen Liu, Baohua Nie, Naiping Dong, Xin Chen, Linfei Chen, YiPing Wei. Differential diagnosis of human lung tumors using surface desorption atmospheric pressure chemical ionization imaging mass spectrometryRSC Advances 2017; 7(88): 56044 doi: 10.1039/C7RA11839B
10
Luiz Carlos Corrêa da Silva, Alberto José de Araújo, Ângela Maria Dias de Queiroz, Maria da Penha Uchoa Sales, Maria Vera Cruz de Oliveira Castellano. Smoking control: challenges and achievementsJornal Brasileiro de Pneumologia 2016; 42(4): 290 doi: 10.1590/s1806-37562016000000145
11
Agne Krilaviciute, Hermann Brenner. Low positive predictive value of computed tomography screening for lung cancer irrespective of commonly employed definitions of target populationInternational Journal of Cancer 2021; 149(1): 58 doi: 10.1002/ijc.33522
12
Xuechen Li, Linlin Shen, Suhuai Luo. A Solitary Feature-Based Lung Nodule Detection Approach for Chest X-Ray RadiographsIEEE Journal of Biomedical and Health Informatics 2018; 22(2): 516 doi: 10.1109/JBHI.2017.2661805
13
Se Hyun Kwak, Eun-Kyung Kim, Myung Hyun Kim, Eun Hye Lee, Hyun Joo Shin, Jun Hyeok Lim. Incidentally found resectable lung cancer with the usage of artificial intelligence on chest radiographsPLOS ONE 2023; 18(3): e0281690 doi: 10.1371/journal.pone.0281690
14
Sean Carey, Sonja Kandel, Christin Farrell, John Kavanagh, TaeBong Chung, William Hamilton, Patrik Rogalla. Comparison of conventional chest x ray with a novel projection technique for ultra‐low dose CTMedical Physics 2021; 48(6): 2809 doi: 10.1002/mp.14142
15
Xuechen Li, Linlin Shen, Xinpeng Xie, Shiyun Huang, Zhien Xie, Xian Hong, Juan Yu. Multi-resolution convolutional networks for chest X-ray radiograph based lung nodule detectionArtificial Intelligence in Medicine 2020; 103: 101744 doi: 10.1016/j.artmed.2019.101744
16
H. De La Pena, A. Sharma, C. Glicksman, J. Joseph, M. Subesinghe, Z. Traill, C. Verrill, M. Sullivan, J. Redgwell, E. Bataillard, E. Pintus, N. Dallas, A. Gogbashian, M. Tuthill, A. Protheroe, M. Hall. No longer any role for routine follow-up chest x-rays in men with stage I germ cell cancerEuropean Journal of Cancer 2017; 84: 354 doi: 10.1016/j.ejca.2017.07.005
17
Imad Bou Akl, Nathalie K. Zgheib, Maroun Matar, Deborah Mukherji, Marco Bardus, Rihab Nasr. Primary care and pulmonary physicians’ knowledge and practice concerning screening for lung cancer in Lebanon, a middle‐income countryCancer Medicine 2021; 10(8): 2877 doi: 10.1002/cam4.3816
18
Lynnette Nathalie Lyzwinski. Handbook of Substance Misuse and Addictions2022; : 1 doi: 10.1007/978-3-030-67928-6_190-1
19
Sarfaraz Hussein, Kunlin Cao, Qi Song, Ulas Bagci. Information Processing in Medical ImagingLecture Notes in Computer Science 2017; 10265: 249 doi: 10.1007/978-3-319-59050-9_20
20
Ghazal Azarfar, Seok-Bum Ko, Scott J. Adams, Paul S. Babyn. Deep learning-based age estimation from chest CT scansInternational Journal of Computer Assisted Radiology and Surgery 2023; 19(1): 119 doi: 10.1007/s11548-023-02989-w
21
Michele Scarpiniti, Sima Sarv Ahrabi, Enzo Baccarelli, Lorenzo Piazzo, Alireza Momenzadeh. A Histogram-Based Low-Complexity Approach for the Effective Detection of COVID-19 Disease from CT and X-ray ImagesApplied Sciences 2021; 11(19): 8867 doi: 10.3390/app11198867
22
David Chi-Leung Lam, Chong-Kin Liam, Sita Andarini, Samina Park, Daniel S.W. Tan, Navneet Singh, Seung Hun Jang, Varut Vardhanabhuti, Antonio B. Ramos, Tomio Nakayama, Nguyen Viet Nhung, Kazuto Ashizawa, Yeun-Chung Chang, Jamsak Tscheikuna, Cong Cung Van, Wai Yee Chan, Yeur-Hur Lai, Pan-Chyr Yang. Lung Cancer Screening in Asia: An Expert Consensus ReportJournal of Thoracic Oncology 2023; 18(10): 1303 doi: 10.1016/j.jtho.2023.06.014
23
M. Haber, A. Drake, J. Nightingale. Is there an advantage to using computer aided detection for the early detection of pulmonary nodules within chest X-Ray imaging?Radiography 2020; 26(3): e170 doi: 10.1016/j.radi.2020.01.002
24
Lynnette Nathalie Lyzwinski. Handbook of Substance Misuse and Addictions2022; : 899 doi: 10.1007/978-3-030-92392-1_190
25
Manuel Schultheiss, Philipp Schmette, Jannis Bodden, Juliane Aichele, Christina Müller-Leisse, Felix G. Gassert, Florian T. Gassert, Joshua F. Gawlitza, Felix C. Hofmann, Daniel Sasse, Claudio E. von Schacky, Sebastian Ziegelmayer, Fabio De Marco, Bernhard Renger, Marcus R. Makowski, Franz Pfeiffer, Daniela Pfeiffer. Lung nodule detection in chest X-rays using synthetic ground-truth data comparing CNN-based diagnosis to human performanceScientific Reports 2021; 11(1) doi: 10.1038/s41598-021-94750-z
26
Fatemeh Homayounieh, Subba Digumarthy, Shadi Ebrahimian, Johannes Rueckel, Boj Friedrich Hoppe, Bastian Oliver Sabel, Sailesh Conjeti, Karsten Ridder, Markus Sistermanns, Lei Wang, Alexander Preuhs, Florin Ghesu, Awais Mansoor, Mateen Moghbel, Ariel Botwin, Ramandeep Singh, Samuel Cartmell, John Patti, Christian Huemmer, Andreas Fieselmann, Clemens Joerger, Negar Mirshahzadeh, Victorine Muse, Mannudeep Kalra. An Artificial Intelligence–Based Chest X-ray Model on Human Nodule Detection Accuracy From a Multicenter StudyJAMA Network Open 2021; 4(12): e2141096 doi: 10.1001/jamanetworkopen.2021.41096
27
A. Y. Mekhtiyeva. THE CAPABILITIES OF COMPUTED TOMOGRAPHY AND MAGNETIC RESONANCE IMAGING IN ASSESSING THE LOCAL INVASION OF LUNG CANCERWorld of Medicine and Biology 2022; 18(81): 113 doi: 10.26724/2079-8334-2022-3-81-113-117
28
Yi Wang, Hao Zhang, Kum Ju Chae, Younhee Choi, Gong Yong Jin, Seok-Bum Ko. Novel convolutional neural network architecture for improved pulmonary nodule classification on computed tomographyMultidimensional Systems and Signal Processing 2020; 31(3): 1163 doi: 10.1007/s11045-020-00703-6