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.
160 related articles for article (PubMed ID: 37227661)
21. Computer-aided Detection of Subsolid Nodules at Chest CT: Improved Performance with Deep Learning-based CT Section Thickness Reduction. Park S; Lee SM; Kim W; Park H; Jung KH; Do KH; Seo JB Radiology; 2021 Apr; 299(1):211-219. PubMed ID: 33560190 [TBL] [Abstract][Full Text] [Related]
22. Computed tomography density is not associated with pathological tumor invasion for pure ground-glass nodules. Fu F; Zhang Y; Wang S; Li Y; Wang Z; Hu H; Chen H J Thorac Cardiovasc Surg; 2021 Aug; 162(2):451-459.e3. PubMed ID: 32711984 [TBL] [Abstract][Full Text] [Related]
23. [A Growth Prediction Model of Pulmonary Ground-Glass Nodules Based on Clinical Visualization Parameters]. Zhou YY; Chen ZJ Zhongguo Yi Xue Ke Xue Yuan Xue Bao; 2024 Apr; 46(2):169-175. PubMed ID: 38686712 [TBL] [Abstract][Full Text] [Related]
24. Differentiating focal interstitial fibrosis from adenocarcinoma in persistent pulmonary subsolid nodules (> 5 mm and < 20 mm): the role of coronal thin-section CT images. Ko KH; Huang TW; Chang WC; Huang HK; Tsai WC; Hsu HH Eur Radiol; 2021 Nov; 31(11):8326-8334. PubMed ID: 33880620 [TBL] [Abstract][Full Text] [Related]
25. Limited value of shape, margin and CT density in the discrimination between benign and malignant screen detected solid pulmonary nodules of the NELSON trial. Xu DM; van Klaveren RJ; de Bock GH; Leusveld A; Zhao Y; Wang Y; Vliegenthart R; de Koning HJ; Scholten ET; Verschakelen J; Prokop M; Oudkerk M Eur J Radiol; 2008 Nov; 68(2):347-52. PubMed ID: 17920800 [TBL] [Abstract][Full Text] [Related]
26. Evaluating the Patient With a Pulmonary Nodule: A Review. Mazzone PJ; Lam L JAMA; 2022 Jan; 327(3):264-273. PubMed ID: 35040882 [TBL] [Abstract][Full Text] [Related]
27. Cause determination of missed lung nodules and impact of reader training and education: Simulation study with nodule insertion software. Digumarthy SR; Gullo RL; Levesque MH; Sayegh K; Rao S; Raymond SB; Otrakji A; Kalra MK J Cancer Res Ther; 2020; 16(4):780-787. PubMed ID: 32930118 [TBL] [Abstract][Full Text] [Related]
28. Probability of cancer in pulmonary nodules detected on first screening CT. McWilliams A; Tammemagi MC; Mayo JR; Roberts H; Liu G; Soghrati K; Yasufuku K; Martel S; Laberge F; Gingras M; Atkar-Khattra S; Berg CD; Evans K; Finley R; Yee J; English J; Nasute P; Goffin J; Puksa S; Stewart L; Tsai S; Johnston MR; Manos D; Nicholas G; Goss GD; Seely JM; Amjadi K; Tremblay A; Burrowes P; MacEachern P; Bhatia R; Tsao MS; Lam S N Engl J Med; 2013 Sep; 369(10):910-9. PubMed ID: 24004118 [TBL] [Abstract][Full Text] [Related]
29. Identifying pulmonary nodules or masses on chest radiography using deep learning: external validation and strategies to improve clinical practice. Liang CH; Liu YC; Wu MT; Garcia-Castro F; Alberich-Bayarri A; Wu FZ Clin Radiol; 2020 Jan; 75(1):38-45. PubMed ID: 31521323 [TBL] [Abstract][Full Text] [Related]
30. Solid Indeterminate Nodules with a Radiological Stability Suggesting Benignity: A Texture Analysis of Computed Tomography Images Based on the Kurtosis and Skewness of the Nodule Volume Density Histogram. Borguezan BM; Lopes AJ; Saito EH; Higa C; Silva AC; Nunes RA Pulm Med; 2019; 2019():4071762. PubMed ID: 31687208 [TBL] [Abstract][Full Text] [Related]
31. Pulmonary nodule volume: effects of reconstruction parameters on automated measurements--a phantom study. Ravenel JG; Leue WM; Nietert PJ; Miller JV; Taylor KK; Silvestri GA Radiology; 2008 May; 247(2):400-8. PubMed ID: 18430874 [TBL] [Abstract][Full Text] [Related]
36. Observer Performance for Detection of Pulmonary Nodules at Chest CT over a Large Range of Radiation Dose Levels. Fletcher JG; Levin DL; Sykes AG; Lindell RM; White DB; Kuzo RS; Suresh V; Yu L; Leng S; Holmes DR; Inoue A; Johnson MP; Carter RE; McCollough CH Radiology; 2020 Dec; 297(3):699-707. PubMed ID: 32990514 [TBL] [Abstract][Full Text] [Related]
37. Software performance in segmenting ground-glass and solid components of subsolid nodules in pulmonary adenocarcinomas. Cohen JG; Goo JM; Yoo RE; Park CM; Lee CH; van Ginneken B; Chung DH; Kim YT Eur Radiol; 2016 Dec; 26(12):4465-4474. PubMed ID: 27048527 [TBL] [Abstract][Full Text] [Related]
38. Three-dimensional mean CT attenuation value of pure and part-solid ground-glass lung nodules may predict invasiveness in early adenocarcinoma. Kitazawa S; Saeki Y; Kobayashi N; Kikuchi S; Goto Y; Sato Y Clin Radiol; 2019 Dec; 74(12):944-949. PubMed ID: 31630766 [TBL] [Abstract][Full Text] [Related]
39. Prospective Radiologic-Pathologic Correlation of Macroscopic Volume and Microscopic Extension of Nonsolid Lung Nodules on Thin-section CT Images for Sublobar Resection and Stereotactic Radiotherapy Planning. Beddok A; Chabi-Charvillat ML; Kennel T; de Wolf J; Pricopi C; Crequit P; Girard N; Otz J; Vallée A; Longchampt E; Sage E; Glorion M Clin Lung Cancer; 2023 Mar; 24(2):98-106. PubMed ID: 36509664 [TBL] [Abstract][Full Text] [Related]
40. Detection and quantification of the solid component in pulmonary subsolid nodules by semiautomatic segmentation. Scholten ET; Jacobs C; van Ginneken B; van Riel S; Vliegenthart R; Oudkerk M; de Koning HJ; Horeweg N; Prokop M; Gietema HA; Mali WP; de Jong PA Eur Radiol; 2015 Feb; 25(2):488-96. PubMed ID: 25287262 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]