Quantitative computed tomography measures of pectoralis muscle area and disease severity in chronic obstructive pulmonary disease. A cross-sectional study - Wikidata - thesis-toulmin - TriplyDB

Quantitative computed tomography measures of pectoralis muscle area and disease severity in chronic obstructive pulmonary disease. A cross-sectional study

Quantitative computed tomography measures of pectoralis muscle area and disease severity in chronic obstructive pulmonary disease. A cross-sectional study

http://www.wikidata.org/entity/Q33640519

about

Cachexia in chronic obstructive pulmonary disease: new insights and therapeutic perspective Challenges and Current Efforts in the Development of Biomarkers for Chronic Inflammatory and Remodeling Conditions of the Lungs Lower Pectoralis Muscle Area Is Associated with a Worse Overall Survival in Non-Small Cell Lung Cancer Chest CT measures of muscle and adipose tissue in COPD: gender-based differences in content and in relationships with blood biomarkers Prognostic impact of sarcopenia in patients with diffuse large B-cell lymphoma treated with rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone.Sarcopenia and inflammation are independent predictors of survival in male patients newly diagnosed with small cell lung cancer.Imaging approaches to understand disease complexity: Chronic Obstructive Pulmonary Disease as a clinical model.Clinical and Genetic Associations of Objectively Identified Interstitial Changes in Smokers.Determinants of pre-transplantation pectoralis muscle area (PMA) and post-transplantation change in PMA in lung transplant recipients.Quantitative Assessment of Erector Spinae Muscles in Patients with Chronic Obstructive Pulmonary Disease. Novel Chest Computed Tomography-derived Index for Prognosis.A comparison of pectoralis versus lumbar skeletal muscle indices for defining sarcopenia in diffuse large B-cell lymphoma - two are better than one.Chest computed tomography-derived low fat-free mass index and mortality in COPD.Differences in Respiratory Symptoms and Lung Structure Between Hispanic and Non-Hispanic White Smokers: A Comparative Study.The Role of Computed Tomography for the Evaluation of Lung Disease in Alpha-1 Antitrypsin Deficiency.Handgrip Strength in Chronic Obstructive Pulmonary Disease. Associations with Acute Exacerbations and Body Composition.Disease Staging and Prognosis in Smokers Using Deep Learning in Chest Computed Tomography.Thoracic muscle cross-sectional area is associated with hospital length of stay post lung transplantation: a retrospective cohort study.Skeletal Muscle Dysfunction in Chronic Obstructive Pulmonary Disease (COPD): What We Know and Can Do for Our Patients.Sarcopenia is a predictor of outcomes after lobectomy.Associations of obstructive sleep apnea with truncal skeletal muscle mass and density.Pectoralis muscle area and mortality in smokers without airflow obstruction.Multifactorial Analysis of Mortality in Screening Detected Lung Cancer.Impact of pulmonary emphysema on exercise capacity and its physiological determinants in chronic obstructive pulmonary disease Lung, Fat and Bone: Increased Adiponectin Associates with the Combination of Smoking-Related Lung Disease and Osteoporosis Distinct profile and prognostic impact of body composition changes in idiopathic pulmonary fibrosis and idiopathic pleuroparenchymal fibroelastosis

P2860

Q26749418-980270CC-93DD-4F9F-BDB0-BEC4D14A24A1 Q26766294-4B60FFB2-B860-4E4B-AEEB-39FD5FA3507B Q28394473-F867D7BB-6E50-4EB7-B909-E07E66599B72 Q35312449-A81D096B-92C2-4DA8-B302-1D5499F845DF Q36804101-F62A1749-ECC2-4C44-BEE8-9B3AAEFE3E52 Q38627484-8152561C-67C4-41B2-9DCD-A0C7FF978C4D Q38656653-9C6BA0FB-738F-4AA8-90C2-41BE66F96102 Q38785085-C850ED94-3FCC-4340-9E00-0E6BA2C8525F Q39051235-C030E8AF-7175-4F64-A868-0F54672E3700 Q41024747-6B0C2C2C-48D0-4AC9-9E84-B01A53AEAE32 Q41470871-8E43585B-C7AC-44C2-8902-A81F511F943D Q47307473-5FF70211-C1B1-4860-8614-405B9A10FB54 Q47558264-8AAD5A0D-FB0E-4780-AED2-55FA5B555CC4 Q47659859-2A54429E-5856-4704-98A2-D6BED4484871 Q47678075-7FF476CB-10B1-4D88-9F4F-9F884A60E3F7 Q47777005-0675F6DC-4186-4E4B-8082-5A73345F0E97 Q48301825-9331E0AB-E464-4D58-993A-B04335D7D33A Q52350457-C0B483E2-6348-4630-AF78-588482FCC059 Q55025340-19BB6D15-9CA2-47CA-95D0-763CD29886E5 Q55048443-31BB0D02-2A0E-460F-B4EB-C8ABBEB7D76B Q55313032-1E8D0CB0-9298-4FEF-A72A-BFBEE86506A0 Q55438296-B213F0F5-41AB-4EA2-A468-791F8D9EC0E4 Q57794653-F2F00670-D6CF-4AFA-89EA-F52E77C54DF4 Q58131522-071CBC2A-8D0C-4E50-98C8-FB14310DCFEC Q58719561-0F841DAB-EA1F-4186-8027-15A76105969C

P2860

Quantitative computed tomography measures of pectoralis muscle area and disease severity in chronic obstructive pulmonary disease. A cross-sectional study

http://www.wikidata.org/entity/Q33640519

description

2014 nî lūn-bûn

@nan

2014 թուականի Մարտին հրատարակուած գիտական յօդուած

@hyw

2014 թվականի մարտին հրատարակված գիտական հոդված

@hy

2014年の論文

@ja

2014年論文

@yue

2014年論文

@zh-hant

2014年論文

@zh-hk

2014年論文

@zh-mo

2014年論文

@zh-tw

2014年论文

@wuu

name

Quantitative computed tomograp ...... sease. A cross-sectional study

@ast

Quantitative computed tomograp ...... sease. A cross-sectional study

@en

type

label

Quantitative computed tomograp ...... sease. A cross-sectional study

@ast

Quantitative computed tomograp ...... sease. A cross-sectional study

@en

prefLabel

Quantitative computed tomograp ...... sease. A cross-sectional study

@ast

Quantitative computed tomograp ...... sease. A cross-sectional study

@en

P1433

Q33640519-12E55E8B-06E5-49F4-8476-A5DE158986C7

P1476

Q33640519-AFCF52AB-1255-4F31-BC50-734F00842ED4

P2093

Q33640519-049C2CA7-698A-450E-94CA-E532E64FAEC9

Q33640519-0C6243FC-EAAB-448D-8F9A-0C183967FA4B

Q33640519-10E07DED-F050-448C-889C-1910C122D4C2

Q33640519-164C8E95-CB6E-456D-A8F8-8D2706163BF9

Q33640519-22ED3835-8A6B-4E36-BB8D-315F6D9C62AA

Q33640519-29781D33-B40E-487C-AB0A-6084537F3AAB

Q33640519-3151D73D-84F1-4305-8579-879BFE578FBC

Q33640519-41F6787E-BEFB-45D3-B197-48FF0729B7FE

Q33640519-4D5EA4CC-D963-4E54-8D38-D504D73DB556

Q33640519-52CA7DE6-7010-4969-ACF7-2296B56AC3A6

P2860

Q33640519-0AD02443-D049-40EB-A5DE-5B911BA7E335

Q33640519-21FC9811-03AE-4ABC-A52C-4B6B09748272

Q33640519-23AEFC64-2A3B-4631-BDD6-30171DAD8845

Q33640519-348897D8-BA36-4895-9F5F-EB98195A0C1C

Q33640519-3B4678A7-E943-4778-8E85-91A61634E3DC

Q33640519-3C58C713-35D8-4B70-878D-4A7284C998E3

Q33640519-4CAB725A-2D0E-47F0-9DC5-596ADB10ABA3

Q33640519-4D1B1B63-50AB-454B-8B48-32373E26A1C6

Q33640519-52C66A76-31F3-45DA-AAFB-A8A0D0960E91

Q33640519-6321AFC5-1AE1-4670-8613-95791B718434

P304

Q33640519-03A02F88-068E-4847-811E-67C7B6318779

P31

Q33640519-9D51A4C2-89B2-4AA5-A0FE-A88E43D62E43

P356

Q33640519-47474ECE-6084-4924-AF27-CC5ED78E6B64

P433

Q33640519-21B80D66-D6E1-40A4-BDD0-D9FDD35B1630

P478

Q33640519-92F3562C-C14D-4CDE-A44C-394A1C43812A

P50

Q33640519-6D1EA5A9-9A20-4665-A60D-4FAA793CF2B0

Q33640519-BCF070BB-3152-41EC-A3BF-13BD4635D032

P577

Q33640519-A6E75322-71DF-4DF2-A4F4-01071C2487DC

P5875

Q33640519-B95CF8B9-D93D-49B2-B1A1-1E956CF017E7

P698

Q33640519-35A5D92C-9AD5-42AA-AAD2-5E10AF9477A1

P921

Q33640519-C233AFE2-67BE-4864-948C-42E19E383D76

P932

Q33640519-95F86408-B5AA-45B9-AE17-6E7C74E7D7F9

P356

ANNALSATS.201307-229OC

P1433

Proceedings of the American Thoracic Society

P1476

Quantitative computed tomograp ...... sease. A cross-sectional study

@en

P2093

Alejandro A Diaz

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

Alvar Agusti

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

Bartolome R Celli

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

Carolyn E Come

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

Christoph Lange

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

Craig P Hersh

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

David A Lomas

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

Edwin K Silverman

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

Elizabeth A Regan

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

Eric Eckbo

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

P2860

The Obesity Paradox: Fact or Fiction?

A randomized trial comparing lung-volume-reduction surgery with medical therapy for severe emphysema

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

The validity of bioelectrical impedance models in clinical populations

Genetic epidemiology of COPD (COPDGene) study design

Definition and classification of cancer cachexia: an international consensus.

Lung volumes and emphysema in smokers with interstitial lung abnormalities

Clinical and radiographic correlates of hypoxemia and oxygen therapy in the COPDGene study.

Cachexia: pathophysiology and clinical relevance.

Loss of skeletal muscle mass in aging: examining the relationship of starvation, sarcopenia and cachexia.

P304

326-334

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

P31

scholarly article

P356

10.1513/ANNALSATS.201307-229OC

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

P433

3

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

P478

11

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

P50

Emiel F M Wouters

P577

2014-03-01T00:00:00Z

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

P5875

262046734

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

P698

24558953

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

P921

chronic obstructive pulmonary disease

P932

4028743

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