Connection

Nicola Sverzellati to Lung Neoplasms

This is a "connection" page, showing publications Nicola Sverzellati has written about Lung Neoplasms.
Connection Strength

1.787
  1. Detection of Subsolid Nodules in Lung Cancer Screening: Complementary Sensitivity of Visual Reading and Computer-Aided Diagnosis. Invest Radiol. 2018 08; 53(8):441-449.
    View in: PubMed
    Score: 0.218
  2. Radiology in diffuse parenchymal lung disease and lung nodules. Eur Respir Rev. 2017 06 30; 26(144).
    View in: PubMed
    Score: 0.201
  3. Lung cancer screening with low-dose CT in Europe: strength and weakness of diverse independent screening trials. Clin Radiol. 2017 May; 72(5):389-400.
    View in: PubMed
    Score: 0.197
  4. Computed tomography - histology correlations of unusual lung tumors. Pathologica. 2016 Sep; 108(3):110-119.
    View in: PubMed
    Score: 0.191
  5. Relationship and prognostic value of modified coronary artery calcium score, FEV1, and emphysema in lung cancer screening population: the MILD trial. Radiology. 2012 Feb; 262(2):460-7.
    View in: PubMed
    Score: 0.137
  6. Feasibility and Safety of Lung Cancer Screening and Prevention Program During the COVID-19 Pandemic. Chest. 2021 07; 160(1):e5-e7.
    View in: PubMed
    Score: 0.065
  7. Ten-year results of the Multicentric Italian Lung Detection trial demonstrate the safety and efficacy of biennial lung cancer screening. Eur J Cancer. 2019 09; 118:142-148.
    View in: PubMed
    Score: 0.058
  8. Comparison of ultra-low dose chest CT scanning protocols for the detection of pulmonary nodules: a phantom study. Tumori. 2019 Oct; 105(5):394-403.
    View in: PubMed
    Score: 0.057
  9. Management of incidental pulmonary nodule in CT: a survey by the Italian College of Chest Radiology. Radiol Med. 2019 Jul; 124(7):602-612.
    View in: PubMed
    Score: 0.057
  10. Variable radiological lung nodule evaluation leads to divergent management recommendations. Eur Respir J. 2018 12; 52(6).
    View in: PubMed
    Score: 0.056
  11. Classification of CT Pulmonary Opacities as Perifissural Nodules: Reader Variability. Radiology. 2018 09; 288(3):867-875.
    View in: PubMed
    Score: 0.054
  12. Automatic segmentation of the solid core and enclosed vessels in subsolid pulmonary nodules. Sci Rep. 2018 01 12; 8(1):646.
    View in: PubMed
    Score: 0.052
  13. European position statement on lung cancer screening. Lancet Oncol. 2017 12; 18(12):e754-e766.
    View in: PubMed
    Score: 0.052
  14. Pleural plaques in lung cancer screening by low-dose computed tomography: prevalence, association with lung cancer and mortality. BMC Pulm Med. 2017 Nov 25; 17(1):155.
    View in: PubMed
    Score: 0.052
  15. Malignancy risk estimation of pulmonary nodules in screening CTs: Comparison between a computer model and human observers. PLoS One. 2017; 12(11):e0185032.
    View in: PubMed
    Score: 0.052
  16. Diagnostic Imaging and workup of Malignant Pleural Mesothelioma. Acta Biomed. 2017 08 23; 88(2):134-142.
    View in: PubMed
    Score: 0.051
  17. Lymphangioleiomyomatosis, multifocal micronodular pneumocyte hyperplasia, and sarcoidosis: more pathological findings in the same chest CT, or a single pathological pathway? BMC Pulm Med. 2017 Jul 28; 17(1):107.
    View in: PubMed
    Score: 0.051
  18. Lung cancer screening with low-dose spiral computed tomography: evidence from a pooled analysis of two Italian randomized trials. Eur J Cancer Prev. 2017 07; 26(4):324-329.
    View in: PubMed
    Score: 0.051
  19. FNA and CNB in the diagnosis of pulmonary lesions: a single-center experience on 665 patients, comparison between two periods. Tumori. 2017 Jul 31; 103(4):360-366.
    View in: PubMed
    Score: 0.050
  20. Lung-RADS Category 4X: Does It Improve Prediction of Malignancy in Subsolid Nodules? Radiology. 2017 07; 284(1):264-271.
    View in: PubMed
    Score: 0.050
  21. Emphysema detected on computed tomography and risk of lung cancer: a systematic review and meta-analysis. Lung Cancer. 2012 Jul; 77(1):58-63.
    View in: PubMed
    Score: 0.035
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.