Autoantibody Signature Enhances the Positive Predictive Power of Computed Tomography and Nodule-Based Risk Models for Detection of Lung Cancer

scientific article published on 08 September 2016

Autoantibody Signature Enhances the Positive Predictive Power of Computed Tomography and Nodule-Based Risk Models for Detection of Lung Cancer is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1016/J.JTHO.2016.08.143
P932PMC publication ID5367043
P698PubMed publication ID27615397

P2093author name stringPierre P Massion
John F R Robertson
Herb F Sewell
Laura J Peek
Andrea Murray
Graham F Healey
Lynn Fredericks
P2860cites workReduced lung-cancer mortality with low-dose computed tomographic screeningQ28241954
Projected cancer risks from computed tomographic scans performed in the United States in 2007Q28267626
Probability of cancer in pulmonary nodules detected on first screening CT.Q30573941
Validation of two models to estimate the probability of malignancy in patients with solitary pulmonary nodulesQ33900761
Technical validation of an autoantibody test for lung cancerQ34024944
A clinical model to estimate the pretest probability of lung cancer in patients with solitary pulmonary nodulesQ34433475
Clinical validation of an autoantibody test for lung cancerQ34537374
Limitations of screening for lung cancer with low-dose spiral computed tomographyQ36184968
EarlyCDT®-Lung test: improved clinical utility through additional autoantibody assaysQ36285345
Recent Trends in the Identification of Incidental Pulmonary NodulesQ40692443
Audit of the autoantibody test, EarlyCDT®-lung, in 1600 patients: an evaluation of its performance in routine clinical practiceQ43436848
Early Lung Cancer Action Project: overall design and findings from baseline screening.Q50649665
Lung cancer screening with CT: Mayo Clinic experience.Q50714825
The probability of malignancy in solitary pulmonary nodules. Application to small radiologically indeterminate nodules.Q50958688
EarlyCDT-Lung: an immunobiomarker test as an aid to early detection of lung cancerQ56994727
P433issue3
P407language of work or nameEnglishQ1860
P921main subjectcomputed tomographyQ32566
autoantibodyQ785022
P304page(s)578-584
P577publication date2016-09-08
P1433published inJournal of Thoracic OncologyQ2448056
P1476titleAutoantibody Signature Enhances the Positive Predictive Power of Computed Tomography and Nodule-Based Risk Models for Detection of Lung Cancer
P478volume12

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cites work (P2860)
Q38689104AJRCCM: 100-Year Anniversary. The Shifting Landscape for Lung Cancer: Past, Present, and Future
Q62492568Biomarkers in Lung Cancer Screening: Achievements, Promises, and Challenges
Q62490647Lung Cancer Screening, Towards a Multidimensional Approach: Why and How?
Q97539178Noninvasive biomarkers for lung cancer diagnosis, where do we stand?
Q46035215Physician Assessment of Pretest Probability of Malignancy and Adherence With Guidelines for Pulmonary Nodule Evaluation.
Q39438407Secreted tumor antigens - immune biomarkers for diagnosis and therapy.
Q41294153Serum tumor-associated autoantibodies as diagnostic biomarkers for lung cancer: A systematic review and meta-analysis.

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