Novel high-resolution computed tomography-based radiomic classifier for screen-identified pulmonary nodules in the National Lung Screening Trial.

about

The narrow path to organized LDCT lung cancer screening programs in Europe

P2860

Q57178576-2E92045C-F181-479F-85EC-323E4E4F7087

P2860

Novel high-resolution computed tomography-based radiomic classifier for screen-identified pulmonary nodules in the National Lung Screening Trial.

Item

http://www.wikidata.org/entity/Q55058049

description

2018 nî lūn-bûn

@nan

2018年の論文

@ja

2018年学术文章

@wuu

2018年学术文章

@zh-cn

2018年学术文章

@zh-hans

2018年学术文章

@zh-my

2018年学术文章

@zh-sg

2018年學術文章

@yue

2018年學術文章

@zh

2018年學術文章

@zh-hant

name

Novel high-resolution computed ...... National Lung Screening Trial.

@en

Novel high-resolution computed ...... National Lung Screening Trial.

@nl

type

Item

label

Novel high-resolution computed ...... National Lung Screening Trial.

@en

Novel high-resolution computed ...... National Lung Screening Trial.

@nl

prefLabel

Novel high-resolution computed ...... National Lung Screening Trial.

@en

Novel high-resolution computed ...... National Lung Screening Trial.

@nl

P1476

Novel high-resolution computed ...... National Lung Screening Trial

@en

P2093

Fenghai Duan

http://www.w3.org/2001/XMLSchema#string

JoRean Sicks

http://www.w3.org/2001/XMLSchema#string

Richard A Robb

http://www.w3.org/2001/XMLSchema#string

Ronald A Karwoski

http://www.w3.org/2001/XMLSchema#string

Ryan Clay

http://www.w3.org/2001/XMLSchema#string

Srinivasan Rajagopalan

http://www.w3.org/2001/XMLSchema#string

Tobias Peikert

http://www.w3.org/2001/XMLSchema#string

Ziling Qin

http://www.w3.org/2001/XMLSchema#string

P2860

Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

Reduced lung-cancer mortality with low-dose computed tomographic screening

Probability of cancer in pulmonary nodules detected on first screening CT.

Lung cancer probability in patients with CT-detected pulmonary nodules: a prespecified analysis of data from the NELSON trial of low-dose CT screening.

The National Lung Screening Trial: overview and study design.

Radiomic feature clusters and prognostic signatures specific for Lung and Head & Neck cancer.

Noninvasive risk stratification of lung adenocarcinoma using quantitative computed tomography.

Quantitative computed tomographic descriptors associate tumor shape complexity and intratumor heterogeneity with prognosis in lung adenocarcinoma.

Validation of a multiprotein plasma classifier to identify benign lung nodules

Impact of a bronchial genomic classifier on clinical decision making in patients undergoing diagnostic evaluation for lung cancer.

P304

e0196910

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1371/JOURNAL.PONE.0196910

http://www.w3.org/2001/XMLSchema#string

P407

English

P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P50

Brian Bartholmai

Fabien Maldonado

P577

2018-05-14T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

29758038

http://www.w3.org/2001/XMLSchema#string

P932

5951567

http://www.w3.org/2001/XMLSchema#string

Novel high-resolution computed tomography-based radiomic classifier for screen-identified pulmonary nodules in the National Lung Screening Trial.

about

P2860

P2860

Novel high-resolution computed tomography-based radiomic classifier for screen-identified pulmonary nodules in the National Lung Screening Trial.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P698

P932

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P698

P932