58 related articles for article (PubMed ID: 27631108)
1. 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]
2. An 18F-FDG-PET/CT-based radiomics signature for estimating malignance probability of solitary pulmonary nodule.
Zheng J; Hao Y; Guo Y; Du M; Wang P; Xin J
Clin Respir J; 2024 May; 18(5):e13751. PubMed ID: 38725315
[TBL] [Abstract][Full Text] [Related]
3. Is the Yedikule-solitary pulmonary nodule malignancy risk score sufficient to predict malignancy? An internal validation study.
Erdoğu V; Çitak N; Yerlioğlu A; Aksoy Y; Emetli Y; Pekçolaklar A; Saydam Ö; Metin M
Interact Cardiovasc Thorac Surg; 2021 Jul; 33(2):258-265. PubMed ID: 33792653
[TBL] [Abstract][Full Text] [Related]
4. The Thoracic Research Evaluation and Treatment 2.0 Model: A Lung Cancer Prediction Model for Indeterminate Nodules Referred for Specialist Evaluation.
Godfrey CM; Shipe ME; Welty VF; Maiga AW; Aldrich MC; Montgomery C; Crockett J; Vaszar LT; Regis S; Isbell JM; Rickman OB; Pinkerman R; Lambright ES; Nesbitt JC; Maldonado F; Blume JD; Deppen SA; Grogan EL
Chest; 2023 Nov; 164(5):1305-1314. PubMed ID: 37421973
[TBL] [Abstract][Full Text] [Related]
5. Combining serum miRNAs, CEA, and CYFRA21-1 with imaging and clinical features to distinguish benign and malignant pulmonary nodules: a pilot study : Xianfeng Li et al.: Combining biomarker, imaging, and clinical features to distinguish pulmonary nodules.
Li X; Zhang Q; Jin X; Cao L
World J Surg Oncol; 2017 May; 15(1):107. PubMed ID: 28545454
[TBL] [Abstract][Full Text] [Related]
6. Malignancy risk estimation of screen-detected nodules at baseline CT: comparison of the PanCan model, Lung-RADS and NCCN guidelines.
van Riel SJ; Ciompi F; Jacobs C; Winkler Wille MM; Scholten ET; Naqibullah M; Lam S; Prokop M; Schaefer-Prokop C; van Ginneken B
Eur Radiol; 2017 Oct; 27(10):4019-4029. PubMed ID: 28293773
[TBL] [Abstract][Full Text] [Related]
7. The probability of malignancy in solitary pulmonary nodules. Application to small radiologically indeterminate nodules.
Swensen SJ; Silverstein MD; Ilstrup DM; Schleck CD; Edell ES
Arch Intern Med; 1997 Apr; 157(8):849-55. PubMed ID: 9129544
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. A machine learning-based PET/CT model for automatic diagnosis of early-stage lung cancer.
Wang H; Li Y; Han J; Lin Q; Zhao L; Li Q; Zhao J; Li H; Wang Y; Hu C
Front Oncol; 2023; 13():1192908. PubMed ID: 37786508
[TBL] [Abstract][Full Text] [Related]
10. Benign-malignant classification of pulmonary nodules by low-dose spiral computerized tomography and clinical data with machine learning in opportunistic screening.
Zheng Y; Dong J; Yang X; Shuai P; Li Y; Li H; Dong S; Gong Y; Liu M; Zeng Q
Cancer Med; 2023 Jun; 12(11):12050-12064. PubMed ID: 37248730
[TBL] [Abstract][Full Text] [Related]
11. EarlyCDT Lung blood test for risk classification of solid pulmonary nodules: systematic review and economic evaluation.
Duarte A; Corbett M; Melton H; Harden M; Palmer S; Soares M; Simmonds M
Health Technol Assess; 2022 Dec; 26(49):1-184. PubMed ID: 36534989
[TBL] [Abstract][Full Text] [Related]
12. Comparison of Brock University, Mayo Clinic and Herder models for pretest probability of cancer in solid pulmonary nodules.
Susam S; Çinkooğlu A; Ceylan KC; Gürsoy S; Kömürcüoğlu BE; Mertoğlu A; Çırak AK; Gayaf M; Güldaval F; Tuksavul F; Polat G; Ataman S; Yıldırım E; Koparal H; Yücel N
Clin Respir J; 2022 Nov; 16(11):740-749. PubMed ID: 36207775
[TBL] [Abstract][Full Text] [Related]
13. Implementation planning for lung cancer screening in China.
Cheng YI; Davies MPA; Liu D; Li W; Field JK
Precis Clin Med; 2019 Mar; 2(1):13-44. PubMed ID: 35694700
[TBL] [Abstract][Full Text] [Related]
14. Comprehensive Analysis of Clinical Logistic and Machine Learning-Based Models for the Evaluation of Pulmonary Nodules.
Zhang K; Wei Z; Nie Y; Shen H; Wang X; Wang J; Yang F; Chen K
JTO Clin Res Rep; 2022 Apr; 3(4):100299. PubMed ID: 35392654
[TBL] [Abstract][Full Text] [Related]
15. Diagnostic Performance of the Herder Model in Veterans Undergoing PET Scans for Pulmonary Nodule Evaluation.
Vayntrub Y; Gartman E; Nici L; Jankowich MD
Lung; 2021 Dec; 199(6):653-657. PubMed ID: 34787695
[TBL] [Abstract][Full Text] [Related]
16. The Value of a Seven-Autoantibody Panel Combined with the Mayo Model in the Differential Diagnosis of Pulmonary Nodules.
Ling Z; Chen J; Wen Z; Wei X; Su R; Tang Z; Hu Z
Dis Markers; 2021; 2021():6677823. PubMed ID: 33688380
[TBL] [Abstract][Full Text] [Related]
17. Use of PET/CT to aid clinical decision-making in cases of solitary pulmonary nodule: a probabilistic approach.
Mourato FA; Brito AET; Romão MSC; Santos RGG; de Almeida CA; de Almeida Filho PJ; Leal ALG
Radiol Bras; 2020; 53(1):1-6. PubMed ID: 32313329
[TBL] [Abstract][Full Text] [Related]
18. A model of malignant risk prediction for solitary pulmonary nodules on
Yu M; Wang Z; Yang G; Cheng Y
Thorac Cancer; 2020 May; 11(5):1211-1215. PubMed ID: 32162769
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Diagnostic performance of fluorine-18 fluorodeoxyglucose positron emission tomography in the management of solitary pulmonary nodule: a meta-analysis.
Divisi D; Barone M; Bertolaccini L; Zaccagna G; Gabriele F; Crisci R
J Thorac Dis; 2018 Apr; 10(Suppl 7):S779-S789. PubMed ID: 29780624
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
