181 related articles for article (PubMed ID: 37421973)
1. 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]
2. 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]
3. 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]
4. 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]
5. 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]
6. 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]
7. Management of pulmonary nodules in head and neck cancer patients - Our experience and interpretation of the British Thoracic Society Guidelines.
Green R; King M; Reid H; Murchison JT; Evans A; Nixon IJ
Surgeon; 2017 Aug; 15(4):227-230. PubMed ID: 27838234
[TBL] [Abstract][Full Text] [Related]
8. Improving lung cancer diagnosis with cancer, fungal, and imaging biomarkers.
Marmor HN; Kammer MN; Deppen SA; Shipe M; Welty VF; Patel K; Godfrey C; Billatos E; Herman JG; Wilson DO; Kussrow AK; Bornhop DJ; Maldonado F; Chen H; Grogan EL
J Thorac Cardiovasc Surg; 2023 Sep; 166(3):669-678.e4. PubMed ID: 36792410
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. Performance of Lung Nodule Management Algorithms for Lung-RADS Category 4 Lesions.
Gupta S; Jacobson FL; Kong CY; Hammer MM
Acad Radiol; 2021 Aug; 28(8):1037-1042. PubMed ID: 32540198
[TBL] [Abstract][Full Text] [Related]
12. External validation and recalibration of the Brock model to predict probability of cancer in pulmonary nodules using NLST data.
Winter A; Aberle DR; Hsu W
Thorax; 2019 Jun; 74(6):551-563. PubMed ID: 30898897
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Communication About the Probability of Cancer in Indeterminate Pulmonary Nodules.
Maiga AW; Deppen SA; Massion PP; Callaway-Lane C; Pinkerman R; Dittus RS; Lambright ES; Nesbitt JC; Grogan EL
JAMA Surg; 2018 Apr; 153(4):353-357. PubMed ID: 29261826
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Physician Assessment of Pretest Probability of Malignancy and Adherence With Guidelines for Pulmonary Nodule Evaluation.
Tanner NT; Porter A; Gould MK; Li XJ; Vachani A; Silvestri GA
Chest; 2017 Aug; 152(2):263-270. PubMed ID: 28115167
[TBL] [Abstract][Full Text] [Related]
17. Improving malignancy risk prediction of indeterminate pulmonary nodules with imaging features and biomarkers.
Marmor HN; Jackson L; Gawel S; Kammer M; Massion PP; Grogan EL; Davis GJ; Deppen SA
Clin Chim Acta; 2022 Sep; 534():106-114. PubMed ID: 35870539
[TBL] [Abstract][Full Text] [Related]
18. Quantitative CT analysis of lung parenchyma to improve malignancy risk estimation in incidental pulmonary nodules.
Peters AA; Weinheimer O; von Stackelberg O; Kroschke J; Piskorski L; Debic M; Schlamp K; Welzel L; Pohl M; Christe A; Ebner L; Kauczor HU; Heußel CP; Wielpütz MO
Eur Radiol; 2023 Jun; 33(6):3908-3917. PubMed ID: 36538071
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Managing Patients With Screen-Detected Nodules: The Nodule Clinic.
Campo MJ; Lennes IT
Semin Roentgenol; 2017 Jul; 52(3):161-165. PubMed ID: 28734398
[No Abstract] [Full Text] [Related]
[Next] [New Search]
