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.
356 related articles for article (PubMed ID: 21105140)
1. Recent technological and application developments in computed tomography and magnetic resonance imaging for improved pulmonary nodule detection and lung cancer staging. Sieren JC; Ohno Y; Koyama H; Sugimura K; McLennan G J Magn Reson Imaging; 2010 Dec; 32(6):1353-69. PubMed ID: 21105140 [TBL] [Abstract][Full Text] [Related]
2. Clinical characteristics and work-up of small to intermediate-sized pulmonary nodules in a Chinese dedicated cancer hospital. Cui X; Han D; Heuvelmans MA; Du Y; Zhao Y; Zhang L; Groen HJM; de Bock GH; Dorrius MD; Oudkerk M; Vliegenthart R; Ye Z Cancer Biol Med; 2020 Feb; 17(1):199-207. PubMed ID: 32296586 [No Abstract] [Full Text] [Related]
3. Current concepts in imaging and management of the solitary pulmonary nodule. Meziane MA J Med Liban; 2009; 57(1):17-25. PubMed ID: 19459575 [TBL] [Abstract][Full Text] [Related]
4. Shape-based computer-aided detection of lung nodules in thoracic CT images. Ye X; Lin X; Dehmeshki J; Slabaugh G; Beddoe G IEEE Trans Biomed Eng; 2009 Jul; 56(7):1810-20. PubMed ID: 19527950 [TBL] [Abstract][Full Text] [Related]
5. Evaluation and management of pulmonary nodules: state-of-the-art and future perspectives. Sayyouh M; Vummidi DR; Kazerooni EA Expert Opin Med Diagn; 2013 Nov; 7(6):629-44. PubMed ID: 24175679 [TBL] [Abstract][Full Text] [Related]
6. Imaging the solitary pulmonary nodule. Alpert JB; Lowry CM; Ko JP Clin Chest Med; 2015 Jun; 36(2):161-78, vii. PubMed ID: 26024598 [TBL] [Abstract][Full Text] [Related]
8. Solitary pulmonary nodule: Comparison of quantitative capability for differentiation and management among dynamic CE-perfusion MRI at 3 T system, dynamic CE-perfusion ADCT and FDG-PET/CT. Ohno Y; Fujisawa Y; Yui M; Takenaka D; Koyama H; Sugihara N; Yoshikawa T Eur J Radiol; 2019 Jun; 115():22-30. PubMed ID: 31084755 [TBL] [Abstract][Full Text] [Related]
9. Detection rate, location, and size of pulmonary nodules in trimodality PET/CT-MR: comparison of low-dose CT and Dixon-based MR imaging. Stolzmann P; Veit-Haibach P; Chuck N; Rossi C; Frauenfelder T; Alkadhi H; von Schulthess G; Boss A Invest Radiol; 2013 May; 48(5):241-6. PubMed ID: 23070096 [TBL] [Abstract][Full Text] [Related]
10. JOURNAL CLUB: Computer-Aided Detection of Lung Nodules on CT With a Computerized Pulmonary Vessel Suppressed Function. Lo SB; Freedman MT; Gillis LB; White CS; Mun SK AJR Am J Roentgenol; 2018 Mar; 210(3):480-488. PubMed ID: 29336601 [TBL] [Abstract][Full Text] [Related]
11. Pulmonary nodule detection in oncological patients - Value of respiratory-triggered, periodically rotated overlapping parallel T2-weighted imaging evaluated with PET/CT-MR. de Galiza Barbosa F; Geismar JH; Delso G; Messerli M; Huellner M; Stolzmann P; Veit-Haibach P Eur J Radiol; 2018 Jan; 98():165-170. PubMed ID: 29279157 [TBL] [Abstract][Full Text] [Related]
12. New imaging techniques in the treatment guidelines for lung cancer. Schaefer-Prokop C; Prokop M Eur Respir J Suppl; 2002 Feb; 35():71s-83s. PubMed ID: 12064683 [TBL] [Abstract][Full Text] [Related]
13. Dynamic MRI, dynamic multidetector-row computed tomography (MDCT), and coregistered 2-[fluorine-18]-fluoro-2-deoxy-D-glucose-positron emission tomography (FDG-PET)/CT: comparative study of capability for management of pulmonary nodules. Ohno Y; Koyama H; Takenaka D; Nogami M; Maniwa Y; Nishimura Y; Ohbayashi C; Sugimura K J Magn Reson Imaging; 2008 Jun; 27(6):1284-95. PubMed ID: 18504748 [TBL] [Abstract][Full Text] [Related]
14. Pulmonary nodules: detection, assessment, and CAD. Girvin F; Ko JP AJR Am J Roentgenol; 2008 Oct; 191(4):1057-69. PubMed ID: 18806142 [TBL] [Abstract][Full Text] [Related]
15. Optimal imaging protocols for lung cancer staging: CT, PET, MR imaging, and the role of imaging. Paul NS; Ley S; Metser U Radiol Clin North Am; 2012 Sep; 50(5):935-49. PubMed ID: 22974779 [TBL] [Abstract][Full Text] [Related]
16. Computer-aided diagnosis of pulmonary nodules on CT scans: segmentation and classification using 3D active contours. Way TW; Hadjiiski LM; Sahiner B; Chan HP; Cascade PN; Kazerooni EA; Bogot N; Zhou C Med Phys; 2006 Jul; 33(7):2323-37. PubMed ID: 16898434 [TBL] [Abstract][Full Text] [Related]
17. Pulmonary nodule detection, characterization, and management with multidetector computed tomography. Brandman S; Ko JP J Thorac Imaging; 2011 May; 26(2):90-105. PubMed ID: 21508732 [TBL] [Abstract][Full Text] [Related]
18. 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]
19. Autoantibody Signature Enhances the Positive Predictive Power of Computed Tomography and Nodule-Based Risk Models for Detection of Lung Cancer. Massion PP; Healey GF; Peek LJ; Fredericks L; Sewell HF; Murray A; Robertson JF J Thorac Oncol; 2017 Mar; 12(3):578-584. PubMed ID: 27615397 [TBL] [Abstract][Full Text] [Related]
20. Integrating PET and CT information to improve diagnostic accuracy for lung nodules: A semiautomatic computer-aided method. Nie Y; Li Q; Li F; Pu Y; Appelbaum D; Doi K J Nucl Med; 2006 Jul; 47(7):1075-80. PubMed ID: 16818939 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]