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 *

251 related articles for article (PubMed ID: 29196857)

  • 21. Subsolid Lung Nodule Classification: A CT Criterion for Improving Interobserver Agreement.
    Revel MP; Mannes I; Benzakoun J; Guinet C; Léger T; Grenier P; Lupo A; Fournel L; Chassagnon G; Bommart S
    Radiology; 2018 Jan; 286(1):316-325. PubMed ID: 28796590
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Deep learning-based differentiation of invasive adenocarcinomas from preinvasive or minimally invasive lesions among pulmonary subsolid nodules.
    Park S; Park G; Lee SM; Kim W; Park H; Jung K; Seo JB
    Eur Radiol; 2021 Aug; 31(8):6239-6247. PubMed ID: 33555355
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Natural history of pathologically confirmed pulmonary subsolid nodules with deep learning-assisted nodule segmentation.
    Qi LL; Wang JW; Yang L; Huang Y; Zhao SJ; Tang W; Jin YJ; Zhang ZW; Zhou Z; Yu YZ; Wang YZ; Wu N
    Eur Radiol; 2021 Jun; 31(6):3884-3897. PubMed ID: 33219848
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Inter-reader variability when applying the 2013 Fleischner guidelines for potential solitary subsolid lung nodules.
    Penn A; Ma M; Chou BB; Tseng JR; Phan P
    Acta Radiol; 2015 Oct; 56(10):1180-6. PubMed ID: 25293951
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Subsolid pulmonary nodules: imaging evaluation and strategic management.
    Godoy MC; Sabloff B; Naidich DP
    Curr Opin Pulm Med; 2012 Jul; 18(4):304-12. PubMed ID: 22575798
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Predicting malignant potential of subsolid nodules: can radiomics preempt longitudinal follow up CT?
    Digumarthy SR; Padole AM; Rastogi S; Price M; Mooradian MJ; Sequist LV; Kalra MK
    Cancer Imaging; 2019 Jun; 19(1):36. PubMed ID: 31182167
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Subsolid pulmonary nodule management and lung adenocarcinoma classification: state of the art and future trends.
    Godoy MC; Truong MT; Sabloff B; Naidich DP
    Semin Roentgenol; 2013 Oct; 48(4):295-307. PubMed ID: 24034262
    [No Abstract]   [Full Text] [Related]  

  • 28. Value of TSCT Features for Differentiating Preinvasive and Minimally Invasive Adenocarcinoma From Invasive Adenocarcinoma Presenting as Subsolid Nodules Smaller Than 3 cm.
    Wang H; Weng Q; Hui J; Fang S; Wu X; Mao W; Chen M; Zheng L; Wang Z; Zhao Z; Zhou L; Tu J; Xu M; Huang Y; Ji J
    Acad Radiol; 2020 Mar; 27(3):395-403. PubMed ID: 31201034
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Automatic segmentation of the solid core and enclosed vessels in subsolid pulmonary nodules.
    Charbonnier JP; Chung K; Scholten ET; van Rikxoort EM; Jacobs C; Sverzellati N; Silva M; Pastorino U; van Ginneken B; Ciompi F
    Sci Rep; 2018 Jan; 8(1):646. PubMed ID: 29330380
    [TBL] [Abstract][Full Text] [Related]  

  • 30. [Three-dimensional Mass Measurement of Subsolid Pulmonary Nodules on Chest CT: Intra and Inter-observer Variability].
    Liu H; Wang Y; Feng L; Yu T
    Zhongguo Fei Ai Za Zhi; 2015 May; 18(5):289-94. PubMed ID: 25975299
    [TBL] [Abstract][Full Text] [Related]  

  • 31. CT Manifestations of Tumor Spread Through Airspaces in Pulmonary Adenocarcinomas Presenting as Subsolid Nodules.
    de Margerie-Mellon C; Onken A; Heidinger BH; VanderLaan PA; Bankier AA
    J Thorac Imaging; 2018 Nov; 33(6):402-408. PubMed ID: 30067571
    [TBL] [Abstract][Full Text] [Related]  

  • 32. 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]  

  • 33. Qualitative CT Criterion for Subsolid Nodule Subclassification: Improving Interobserver Agreement and Pathologic Correlation in the Adenocarcinoma Spectrum.
    Chen PA; Huang EP; Shih LY; Tang EK; Chien CC; Wu MT; Wu FZ
    Acad Radiol; 2018 Nov; 25(11):1439-1445. PubMed ID: 29530486
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Histogram-based models on non-thin section chest CT predict invasiveness of primary lung adenocarcinoma subsolid nodules.
    Oikonomou A; Salazar P; Zhang Y; Hwang DM; Petersen A; Dmytriw AA; Paul NS; Nguyen ET
    Sci Rep; 2019 Apr; 9(1):6009. PubMed ID: 30979926
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Effect of CT Reconstruction Algorithm on the Diagnostic Performance of Radiomics Models: A Task-Based Approach for Pulmonary Subsolid Nodules.
    Kim H; Park CM; Gwak J; Hwang EJ; Lee SY; Jung J; Hong H; Goo JM
    AJR Am J Roentgenol; 2019 Mar; 212(3):505-512. PubMed ID: 30476456
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Persistent pulmonary subsolid nodules with solid portions of 5 mm or smaller: Their natural course and predictors of interval growth.
    Lee JH; Park CM; Lee SM; Kim H; McAdams HP; Goo JM
    Eur Radiol; 2016 Jun; 26(6):1529-37. PubMed ID: 26385803
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Effect of CT window settings on size measurements of the solid component in subsolid nodules: evaluation of prediction efficacy of the degree of pathological malignancy in lung adenocarcinoma.
    Li Q; Gu YF; Fan L; Li QC; Xiao Y; Liu SY
    Br J Radiol; 2018 Jul; 91(1088):20180251. PubMed ID: 29791206
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Software performance in segmenting ground-glass and solid components of subsolid nodules in pulmonary adenocarcinomas.
    Cohen JG; Goo JM; Yoo RE; Park CM; Lee CH; van Ginneken B; Chung DH; Kim YT
    Eur Radiol; 2016 Dec; 26(12):4465-4474. PubMed ID: 27048527
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 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]  

  • 40. Discrimination between transient and persistent subsolid pulmonary nodules on baseline CT using deep transfer learning.
    Huang C; Lv W; Zhou C; Mao L; Xu Q; Li X; Qi L; Xia F; Li X; Zhang Q; Zhang L; Lu G
    Eur Radiol; 2020 Dec; 30(12):6913-6923. PubMed ID: 32696253
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 13.