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 *

192 related articles for article (PubMed ID: 35537358)

  • 1. Improved interobserver agreement on nodule type and Lung-RADS classification of subsolid nodules using computer-aided solid component measurement.
    Shu J; Wen D; Xu Z; Meng X; Zhang Z; Lin S; Zheng M
    Eur J Radiol; 2022 Jul; 152():110339. PubMed ID: 35537358
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Improved Interobserver Agreement on Lung-RADS Classification of Solid Nodules Using Semiautomated CT Volumetry.
    Gierada DS; Rydzak CE; Zei M; Rhea L
    Radiology; 2020 Dec; 297(3):675-684. PubMed ID: 32930652
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Pulmonary subsolid nodules: value of semi-automatic measurement in diagnostic accuracy, diagnostic reproducibility and nodule classification agreement.
    Kim H; Park CM; Hwang EJ; Ahn SY; Goo JM
    Eur Radiol; 2018 May; 28(5):2124-2133. PubMed ID: 29196857
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comparison of the effects of model-based iterative reconstruction and filtered back projection algorithms on software measurements in pulmonary subsolid nodules.
    Cohen JG; Kim H; Park SB; van Ginneken B; Ferretti GR; Lee CH; Goo JM; Park CM
    Eur Radiol; 2017 Aug; 27(8):3266-3274. PubMed ID: 28058482
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Interobserver variability in Lung CT Screening Reporting and Data System categorisation in subsolid nodule-enriched lung cancer screening CTs.
    Yoon SH; Kim YJ; Doh K; Kim J; Lee KH; Lee KW; Kim J
    Eur Radiol; 2021 Sep; 31(9):7184-7191. PubMed ID: 33733688
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Lung-RADS Category 4X: Does It Improve Prediction of Malignancy in Subsolid Nodules?
    Chung K; Jacobs C; Scholten ET; Goo JM; Prosch H; Sverzellati N; Ciompi F; Mets OM; Gerke PK; Prokop M; van Ginneken B; Schaefer-Prokop CM
    Radiology; 2017 Jul; 284(1):264-271. PubMed ID: 28339311
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Semi-automatic quantification of subsolid pulmonary nodules: comparison with manual measurements.
    Scholten ET; de Hoop B; Jacobs C; van Amelsvoort-van de Vorst S; van Klaveren RJ; Oudkerk M; Vliegenthart R; de Koning HJ; van der Aalst CM; Mali WT; Gietema HA; Prokop M; van Ginneken B; de Jong PA
    PLoS One; 2013; 8(11):e80249. PubMed ID: 24278264
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Application of computer-aided diagnosis for Lung-RADS categorization in CT screening for lung cancer: effect on inter-reader agreement.
    Park S; Park H; Lee SM; Ahn Y; Kim W; Jung K; Seo JB
    Eur Radiol; 2022 Feb; 32(2):1054-1064. PubMed ID: 34331112
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Detection of Subsolid Nodules in Lung Cancer Screening: Complementary Sensitivity of Visual Reading and Computer-Aided Diagnosis.
    Silva M; Schaefer-Prokop CM; Jacobs C; Capretti G; Ciompi F; van Ginneken B; Pastorino U; Sverzellati N
    Invest Radiol; 2018 Aug; 53(8):441-449. PubMed ID: 29543693
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Influence of lung nodule margin on volume- and diameter-based reader variability in CT lung cancer screening.
    Han D; Heuvelmans MA; Vliegenthart R; Rook M; Dorrius MD; de Jonge GJ; Walter JE; van Ooijen PMA; de Koning HJ; Oudkerk M
    Br J Radiol; 2018 Oct; 91(1090):20170405. PubMed ID: 28972803
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Retrospective assessment of interobserver agreement and accuracy in classifications and measurements in subsolid nodules with solid components less than 8mm: which window setting is better?
    Yoo RE; Goo JM; Hwang EJ; Yoon SH; Lee CH; Park CM; Ahn S
    Eur Radiol; 2017 Apr; 27(4):1369-1376. PubMed ID: 27456963
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Computer-aided diagnosis (CAD) of subsolid nodules: Evaluation of a commercial CAD system.
    Benzakoun J; Bommart S; Coste J; Chassagnon G; Lederlin M; Boussouar S; Revel MP
    Eur J Radiol; 2016 Oct; 85(10):1728-1734. PubMed ID: 27666609
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Assessment of Lung Nodule Detection and Lung CT Screening Reporting and Data System Classification Using Zero Echo Time Pulmonary MRI.
    Wang X; Cui Y; Wang Y; Liu S; Meng N; Wei W; Bai Y; Shen Y; Guo J; Guo Z; Wang M
    J Magn Reson Imaging; 2024 Apr; ():. PubMed ID: 38602245
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Interscan variation of semi-automated volumetry of subsolid pulmonary nodules.
    Scholten ET; de Jong PA; Jacobs C; van Ginneken B; van Riel S; Willemink MJ; Vliegenthart R; Oudkerk M; de Koning HJ; Horeweg N; Prokop M; Mali WP; Gietema HA
    Eur Radiol; 2015 Apr; 25(4):1040-7. PubMed ID: 25413965
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Effect of computed tomography window settings and reconstruction plane on 8th edition T-stage classification in patients with lung adenocarcinoma manifesting as a subsolid nodule.
    Ahn H; Lee KW; Lee KH; Kim J; Kim K; Chung JH; Lee CT
    Eur J Radiol; 2018 Jan; 98():130-135. PubMed ID: 29279151
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Improving the prediction of lung adenocarcinoma invasive component on CT: Value of a vessel removal algorithm during software segmentation of subsolid nodules.
    Garzelli L; Goo JM; Ahn SY; Chae KJ; Park CM; Jung J; Hong H
    Eur J Radiol; 2018 Mar; 100():58-65. PubMed ID: 29496080
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Application of computer-aided detection for NCCN-based follow-up recommendation in subsolid nodules: Effect on inter-observer agreement.
    Quanyang W; Lina Z; Yao H; Jiawei W; Wei T; Linlin Q; Zewei Z; Donghui H; Hongjia L; Shuluan C; Jiaxing Z; Shijun Z
    Cancer Med; 2024 Jan; 13(2):e6967. PubMed ID: 38348960
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Accuracy of solid portion size measured on multiplanar volume rendering images for assessing invasiveness in lung adenocarcinoma manifesting as subsolid nodules.
    Li WJ; Chu ZG; Li D; Jing WW; Shi QL; Lv FJ
    Quant Imaging Med Surg; 2024 Feb; 14(2):1971-1984. PubMed ID: 38415120
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Diameter of the Solid Component in Subsolid Nodules on Low-Dose Unenhanced Chest Computed Tomography: Measurement Accuracy for the Prediction of Invasive Component in Lung Adenocarcinoma.
    Ahn H; Lee KH; Kim J; Kim J; Kim J; Lee KW
    Korean J Radiol; 2018; 19(3):508-515. PubMed ID: 29713229
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.