These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
141 related articles for article (PubMed ID: 35311112)
1. A Classifier for Improving Early Lung Cancer Diagnosis Incorporating Artificial Intelligence and Liquid Biopsy. Ye M; Tong L; Zheng X; Wang H; Zhou H; Zhu X; Zhou C; Zhao P; Wang Y; Wang Q; Bai L; Cai Z; Kong FS; Wang Y; Li Y; Feng M; Ye X; Yang D; Liu Z; Zhang Q; Wang Z; Han S; Sun L; Zhao N; Yu Z; Zhang J; Zhang X; Katz RL; Sun J; Bai C Front Oncol; 2022; 12():853801. PubMed ID: 35311112 [TBL] [Abstract][Full Text] [Related]
2. Development and validation of an integrated system for lung cancer screening and post-screening pulmonary nodules management: a proof-of-concept study (ASCEND-LUNG). Jin Y; Mu W; Shi Y; Qi Q; Wang W; He Y; Sun X; Yang B; Cui P; Li C; Liu F; Liu Y; Wang G; Zhao J; Zhang Y; Zhang S; Cao C; Sun C; Hong N; Cai S; Tian J; Yang F; Chen K EClinicalMedicine; 2024 Sep; 75():102769. PubMed ID: 39165498 [TBL] [Abstract][Full Text] [Related]
3. A prediction model based on DNA methylation biomarkers and radiological characteristics for identifying malignant from benign pulmonary nodules. Xing W; Sun H; Yan C; Zhao C; Wang D; Li M; Ma J BMC Cancer; 2021 Mar; 21(1):263. PubMed ID: 33691657 [TBL] [Abstract][Full Text] [Related]
4. Evaluation of Prediction Models for Identifying Malignancy in Pulmonary Nodules Detected via Low-Dose Computed Tomography. González Maldonado S; Delorme S; Hüsing A; Motsch E; Kauczor HU; Heussel CP; Kaaks R JAMA Netw Open; 2020 Feb; 3(2):e1921221. PubMed ID: 32058555 [TBL] [Abstract][Full Text] [Related]
5. Evaluating the diagnostic accuracy of a ctDNA methylation classifier for incidental lung nodules: protocol for a prospective, observational, and multicenter clinical trial of 10,560 cases. Liang W; Liu D; Li M; Wang W; Qin Z; Zhang J; Zhang Y; Hu Y; Bao H; Xiang Y; Wang B; Wu J; Sun J; Hu C; Ye X; Zhang X; Xiao W; Yun C; Sun D; Wang W; Chang N; Zhang Y; Zhao J; Zhang X; Xu J; Wu D; Liu X; Guo Y; Zhang Q; Zhang W; Yang L; Li Z; Zhang X; Han B; Tong Z; He J; Qu J; Fan JB; Zhong N Transl Lung Cancer Res; 2020 Oct; 9(5):2016-2026. PubMed ID: 33209621 [TBL] [Abstract][Full Text] [Related]
6. The presence of circulating genetically abnormal cells in blood predicts risk of lung cancer in individuals with indeterminate pulmonary nodules. Tahvilian S; Kuban JD; Yankelevitz DF; Leventon D; Henschke CI; Zhu J; Baden L; Yip R; Hirsch FR; Reed R; Brown A; Muldoon A; Trejo M; Katchman BA; Donovan MJ; Pagano PC BMC Pulm Med; 2023 Jun; 23(1):193. PubMed ID: 37277788 [TBL] [Abstract][Full Text] [Related]
7. Preoperative diagnosis of malignant pulmonary nodules in lung cancer screening with a radiomics nomogram. Liu A; Wang Z; Yang Y; Wang J; Dai X; Wang L; Lu Y; Xue F Cancer Commun (Lond); 2020 Jan; 40(1):16-24. PubMed ID: 32125097 [TBL] [Abstract][Full Text] [Related]
8. A classifier integrating plasma biomarkers and radiological characteristics for distinguishing malignant from benign pulmonary nodules. Lin Y; Leng Q; Jiang Z; Guarnera MA; Zhou Y; Chen X; Wang H; Zhou W; Cai L; Fang H; Li J; Jin H; Wang L; Yi S; Lu W; Evers D; Fowle CB; Su Y; Jiang F Int J Cancer; 2017 Sep; 141(6):1240-1248. PubMed ID: 28580707 [TBL] [Abstract][Full Text] [Related]
9. The Lung Cancer Prediction Model "Stress Test": Assessment of Models' Performance in a High-Risk Prospective Pulmonary Nodule Cohort. Heideman BE; Kammer MN; Paez R; Swanson T; Godfrey CM; Low SW; Xiao D; Li TZ; Richardson JR; Knight MA; Shojaee S; Deppen SA; Lentz RJ; Grogan EL; Maldonado F CHEST Pulm; 2024 Mar; 2(1):. PubMed ID: 38737731 [TBL] [Abstract][Full Text] [Related]
10. Computer-aided diagnostic scheme for distinction between benign and malignant nodules in thoracic low-dose CT by use of massive training artificial neural network. Suzuki K; Li F; Sone S; Doi K IEEE Trans Med Imaging; 2005 Sep; 24(9):1138-50. PubMed ID: 16156352 [TBL] [Abstract][Full Text] [Related]
11. Development of a Risk Prediction Model to Estimate the Probability of Malignancy in Pulmonary Nodules Being Considered for Biopsy. Reid M; Choi HK; Han X; Wang X; Mukhopadhyay S; Kou L; Ahmad U; Wang X; Mazzone PJ Chest; 2019 Aug; 156(2):367-375. PubMed ID: 30940455 [TBL] [Abstract][Full Text] [Related]
12. Machine learning approach for distinguishing malignant and benign lung nodules utilizing standardized perinodular parenchymal features from CT. Uthoff J; Stephens MJ; Newell JD; Hoffman EA; Larson J; Koehn N; De Stefano FA; Lusk CM; Wenzlaff AS; Watza D; Neslund-Dudas C; Carr LL; Lynch DA; Schwartz AG; Sieren JC Med Phys; 2019 Jul; 46(7):3207-3216. PubMed ID: 31087332 [TBL] [Abstract][Full Text] [Related]
13. A Prediction Model Based on Biomarkers and Clinical Characteristics for Detection of Lung Cancer in Pulmonary Nodules. Ma J; Guarnera MA; Zhou W; Fang H; Jiang F Transl Oncol; 2017 Feb; 10(1):40-45. PubMed ID: 27889655 [TBL] [Abstract][Full Text] [Related]
14. External validation of radiomics-based predictive models in low-dose CT screening for early lung cancer diagnosis. Garau N; Paganelli C; Summers P; Choi W; Alam S; Lu W; Fanciullo C; Bellomi M; Baroni G; Rampinelli C Med Phys; 2020 Sep; 47(9):4125-4136. PubMed ID: 32488865 [TBL] [Abstract][Full Text] [Related]
15. Evaluation of models for predicting the probability of malignancy in patients with pulmonary nodules. Li Y; Hu H; Wu Z; Yan G; Wu T; Liu S; Chen W; Lu Z Biosci Rep; 2020 Feb; 40(2):. PubMed ID: 32068231 [TBL] [Abstract][Full Text] [Related]
16. Risk of malignancy in pulmonary nodules: A validation study of four prediction models. Al-Ameri A; Malhotra P; Thygesen H; Plant PK; Vaidyanathan S; Karthik S; Scarsbrook A; Callister ME Lung Cancer; 2015 Jul; 89(1):27-30. PubMed ID: 25864782 [TBL] [Abstract][Full Text] [Related]
17. Diagnostic work-up and surgery in participants of the Gdansk lung cancer screening programme: the incidence of surgery for non-malignant conditions. Rzyman W; Jelitto-Gorska M; Dziedzic R; Biadacz I; Ksiazek J; Chwirot P; Marjanski T Interact Cardiovasc Thorac Surg; 2013 Dec; 17(6):969-73. PubMed ID: 24008181 [TBL] [Abstract][Full Text] [Related]
18. Computed Tomography Features of Lung Structure Have Utility for Differentiating Malignant and Benign Pulmonary Nodules. Uthoff JM; Mott SL; Larson J; Neslund-Dudas CM; Schwartz AG; Sieren JC; Chronic Obstr Pulm Dis; 2022 Apr; 9(2):154-164. PubMed ID: 35021316 [TBL] [Abstract][Full Text] [Related]
19. The Probability of Lung Cancer in Patients With Incidentally Detected Pulmonary Nodules: Clinical Characteristics and Accuracy of Prediction Models. Vachani A; Zheng C; Amy Liu IL; Huang BZ; Osuji TA; Gould MK Chest; 2022 Feb; 161(2):562-571. PubMed ID: 34364866 [TBL] [Abstract][Full Text] [Related]