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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

150 related articles for article (PubMed ID: 34422349)

  • 1. A simple assessment of lung nodule location for reduction in unnecessary invasive procedures.
    Kinsey CM; Billatos E; Mori V; Tonelli B; Cole BF; Duan F; Marques H; de la Bruere I; Onieva J; San José Estépar R; Cleveland A; Idelkope D; Stevenson C; Bates JHT; Aberle D; Spira A; Washko G; San José Estépar R
    J Thorac Dis; 2021 Jul; 13(7):4207-4216. PubMed ID: 34422349
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Detection of early lung cancer among military personnel (DECAMP) consortium: study protocols.
    Billatos E; Duan F; Moses E; Marques H; Mahon I; Dymond L; Apgar C; Aberle D; Washko G; Spira A;
    BMC Pulm Med; 2019 Mar; 19(1):59. PubMed ID: 30845938
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The Vancouver Lung Cancer Risk Prediction Model: Assessment by Using a Subset of the National Lung Screening Trial Cohort.
    White CS; Dharaiya E; Campbell E; Boroczky L
    Radiology; 2017 Apr; 283(1):264-272. PubMed ID: 27740906
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Validation of a Deep Learning Algorithm for the Detection of Malignant Pulmonary Nodules in Chest Radiographs.
    Yoo H; Kim KH; Singh R; Digumarthy SR; Kalra MK
    JAMA Netw Open; 2020 Sep; 3(9):e2017135. PubMed ID: 32970157
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Lung cancer prediction by Deep Learning to identify benign lung nodules.
    Heuvelmans MA; van Ooijen PMA; Ather S; Silva CF; Han D; Heussel CP; Hickes W; Kauczor HU; Novotny P; Peschl H; Rook M; Rubtsov R; von Stackelberg O; Tsakok MT; Arteta C; Declerck J; Kadir T; Pickup L; Gleeson F; Oudkerk M
    Lung Cancer; 2021 Apr; 154():1-4. PubMed ID: 33556604
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Validation of the BRODERS classifier (Benign
    Maldonado F; Varghese C; Rajagopalan S; Duan F; Balar AB; Lakhani DA; Antic SL; Massion PP; Johnson TF; Karwoski RA; Robb RA; Bartholmai BJ; Peikert T
    Eur Respir J; 2021 Apr; 57(4):. PubMed ID: 33303552
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Lung cancer probability in patients with CT-detected pulmonary nodules: a prespecified analysis of data from the NELSON trial of low-dose CT screening.
    Horeweg N; van Rosmalen J; Heuvelmans MA; van der Aalst CM; Vliegenthart R; Scholten ET; ten Haaf K; Nackaerts K; Lammers JW; Weenink C; Groen HJ; van Ooijen P; de Jong PA; de Bock GH; Mali W; de Koning HJ; Oudkerk M
    Lancet Oncol; 2014 Nov; 15(12):1332-41. PubMed ID: 25282285
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Risk assessment in relation to the detection of small pulmonary nodules.
    Field JK; Marcus MW; Oudkerk M
    Transl Lung Cancer Res; 2017 Feb; 6(1):35-41. PubMed ID: 28331822
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Malignancy estimation of Lung-RADS criteria for subsolid nodules on CT: accuracy of low and high risk spectrum when using NLST nodules.
    Chung K; Jacobs C; Scholten ET; Mets OM; Dekker I; Prokop M; van Ginneken B; Schaefer-Prokop CM
    Eur Radiol; 2017 Nov; 27(11):4672-4679. PubMed ID: 28439653
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Pathologic categorization of lung nodules: Radiomic descriptors of CT attenuation distribution patterns of solid and subsolid nodules in low-dose CT.
    Zhou C; Chan HP; Chughtai A; Hadjiiski LM; Kazerooni EA; Wei J
    Eur J Radiol; 2020 Aug; 129():109106. PubMed ID: 32526671
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Developing an understanding of artificial intelligence lung nodule risk prediction using insights from the Brock model.
    Chetan MR; Dowson N; Price NW; Ather S; Nicolson A; Gleeson FV
    Eur Radiol; 2022 Aug; 32(8):5330-5338. PubMed ID: 35238972
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Predicting Malignancy Risk of Screen-Detected Lung Nodules-Mean Diameter or Volume.
    Tammemagi M; Ritchie AJ; Atkar-Khattra S; Dougherty B; Sanghera C; Mayo JR; Yuan R; Manos D; McWilliams AM; Schmidt H; Gingras M; Pasian S; Stewart L; Tsai S; Seely JM; Burrowes P; Bhatia R; Haider EA; Boylan C; Jacobs C; van Ginneken B; Tsao MS; Lam S;
    J Thorac Oncol; 2019 Feb; 14(2):203-211. PubMed ID: 30368011
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Lung Cancers Manifesting as Part-Solid Nodules in the National Lung Screening Trial.
    Yip R; Henschke CI; Xu DM; Li K; Jirapatnakul A; Yankelevitz DF
    AJR Am J Roentgenol; 2017 May; 208(5):1011-1021. PubMed ID: 28245151
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. An integrated segmentation and shape-based classification scheme for distinguishing adenocarcinomas from granulomas on lung CT.
    Alilou M; Beig N; Orooji M; Rajiah P; Velcheti V; Rakshit S; Reddy N; Yang M; Jacono F; Gilkeson RC; Linden P; Madabhushi A
    Med Phys; 2017 Jul; 44(7):3556-3569. PubMed ID: 28295386
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Novel high-resolution computed tomography-based radiomic classifier for screen-identified pulmonary nodules in the National Lung Screening Trial.
    Peikert T; Duan F; Rajagopalan S; Karwoski RA; Clay R; Robb RA; Qin Z; Sicks J; Bartholmai BJ; Maldonado F
    PLoS One; 2018; 13(5):e0196910. PubMed ID: 29758038
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 8.