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.
758 related articles for article (PubMed ID: 25864782)
1. 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]
2. Indeterminate lung nodules in cancer patients: pretest probability of malignancy and the role of 18F-FDG PET/CT. Evangelista L; Panunzio A; Polverosi R; Pomerri F; Rubello D AJR Am J Roentgenol; 2014 Mar; 202(3):507-14. PubMed ID: 24555586 [TBL] [Abstract][Full Text] [Related]
3. Solitary pulmonary nodules: Comparison of dynamic first-pass contrast-enhanced perfusion area-detector CT, dynamic first-pass contrast-enhanced MR imaging, and FDG PET/CT. Ohno Y; Nishio M; Koyama H; Seki S; Tsubakimoto M; Fujisawa Y; Yoshikawa T; Matsumoto S; Sugimura K Radiology; 2015 Feb; 274(2):563-75. PubMed ID: 25203128 [TBL] [Abstract][Full Text] [Related]
4. Comparison of four models predicting the malignancy of pulmonary nodules: A single-center study of Korean adults. Yang B; Jhun BW; Shin SH; Jeong BH; Um SW; Zo JI; Lee HY; Sohn I; Kim H; Kwon OJ; Lee K PLoS One; 2018; 13(7):e0201242. PubMed ID: 30063725 [TBL] [Abstract][Full Text] [Related]
5. Overestimated value of (18)F-FDG PET/CT to diagnose pulmonary nodules: Analysis of 298 patients. Li S; Zhao B; Wang X; Yu J; Yan S; Lv C; Yang Y Clin Radiol; 2014 Aug; 69(8):e352-7. PubMed ID: 24877581 [TBL] [Abstract][Full Text] [Related]
6. Multicenter external validation of two malignancy risk prediction models in patients undergoing 18F-FDG-PET for solitary pulmonary nodule evaluation. Perandini S; Soardi GA; Larici AR; Del Ciello A; Rizzardi G; Solazzo A; Mancino L; Zeraj F; Bernhart M; Signorini M; Motton M; Montemezzi S Eur Radiol; 2017 May; 27(5):2042-2046. PubMed ID: 27631108 [TBL] [Abstract][Full Text] [Related]
7. [Development of a predicting model to estimate the probability of malignancy of solitary pulmonary nodules]. Tian R; Su MG; Tian Y; Li FL; Kuang AR Sichuan Da Xue Xue Bao Yi Xue Ban; 2012 May; 43(3):404-8. PubMed ID: 22812247 [TBL] [Abstract][Full Text] [Related]
8. Clinical prediction model to characterize pulmonary nodules: validation and added value of 18F-fluorodeoxyglucose positron emission tomography. Herder GJ; van Tinteren H; Golding RP; Kostense PJ; Comans EF; Smit EF; Hoekstra OS Chest; 2005 Oct; 128(4):2490-6. PubMed ID: 16236914 [TBL] [Abstract][Full Text] [Related]
10. Solitary pulmonary nodules: meta-analytic comparison of cross-sectional imaging modalities for diagnosis of malignancy. Cronin P; Dwamena BA; Kelly AM; Carlos RC Radiology; 2008 Mar; 246(3):772-82. PubMed ID: 18235105 [TBL] [Abstract][Full Text] [Related]
11. Fluoro-deoxy-glucose positron emission tomography for evaluation of indeterminate lung nodules: assigning a probability of malignancy may be preferable to binary readings. Kim SC; Machac J; Krynyckyi BR; Knesaurek K; Krellenstein D; Schultz B; Gribetz A; DePalo L; Teirstein A; Kim CK Ann Nucl Med; 2008 Apr; 22(3):165-70. PubMed ID: 18498030 [TBL] [Abstract][Full Text] [Related]
12. Risk stratification in the investigation of pulmonary nodules in a high-risk cohort: positron emission tomography/computed tomography outperforms clinical risk prediction algorithms. Gibson G; Kumar AR; Steinke K; Bashirzadeh F; Roach R; Windsor M; Ware R; Fielding D Intern Med J; 2017 Dec; 47(12):1385-1392. PubMed ID: 28782248 [TBL] [Abstract][Full Text] [Related]
13. Characterization of solitary pulmonary nodules with 18F-FDG PET/CT relative activity distribution analysis. Zhao L; Tong L; Lin J; Tang K; Zheng S; Li W; Cheng D; Yin W; Zheng X Eur Radiol; 2015 Jul; 25(7):1837-44. PubMed ID: 25636419 [TBL] [Abstract][Full Text] [Related]
14. Artificial intelligence for detecting small FDG-positive lung nodules in digital PET/CT: impact of image reconstructions on diagnostic performance. Schwyzer M; Martini K; Benz DC; Burger IA; Ferraro DA; Kudura K; Treyer V; von Schulthess GK; Kaufmann PA; Huellner MW; Messerli M Eur Radiol; 2020 Apr; 30(4):2031-2040. PubMed ID: 31822970 [TBL] [Abstract][Full Text] [Related]
15. Combination of positron emission tomography/computed tomography and chest thin-layer high-resolution computed tomography for evaluation of pulmonary nodules: Correlation with imaging features, maximum standardized uptake value, and pathology. Hou S; Lin X; Wang S; Shen Y; Meng Z; Jia Q; Tan J Medicine (Baltimore); 2018 Aug; 97(31):e11640. PubMed ID: 30075545 [TBL] [Abstract][Full Text] [Related]
16. Differentiation between malignancy and inflammation in pulmonary ground-glass nodules: The feasibility of integrated (18)F-FDG PET/CT. Chun EJ; Lee HJ; Kang WJ; Kim KG; Goo JM; Park CM; Lee CH Lung Cancer; 2009 Aug; 65(2):180-6. PubMed ID: 19155090 [TBL] [Abstract][Full Text] [Related]
18. Indeterminate pulmonary nodules on CT images in breast cancer patient: the additional value of 18F-FDG PET/CT. Evangelista L; Panunzio A; Cervino AR; Vinante L; Al-Nahhas A; Rubello D; Muzzio PC; Polverosi R J Med Imaging Radiat Oncol; 2012 Aug; 56(4):417-24. PubMed ID: 22883649 [TBL] [Abstract][Full Text] [Related]
19. 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]
20. 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] [Next] [New Search]