Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Predicting Outcomes in Idiopathic Pulmonary Fibrosis Using Automated Computed Tomographic Analysis
by
Brun, Anne Laure
, van Moorsel, Coline H. M.
, Desai, Sujal
, van Es, Hendrik W.
, Struik, Marjolijn H. L.
, van Beek, Frouke T.
, Walsh, Simon L. F.
, Kokosi, Maria
, Barnett, Joseph
, Ourselin, Sebastien
, Bartholmai, Brian J.
, Rajagopalan, Srinivasan
, Nair, Arjun
, Karwoski, Ronald
, de Lauretis, Angelo
, Maher, Toby M.
, Renzoni, Elisabetta
, Wells, Athol U.
, Egashira, Ryoko
, Jacob, Joseph
, Cross, Gary
, Altmann, Andre
, Judge, Eoin P.
in
Aged
/ Automation
/ Biomarkers
/ Female
/ Humans
/ Idiopathic Pulmonary Fibrosis - diagnosis
/ Idiopathic Pulmonary Fibrosis - diagnostic imaging
/ Idiopathic Pulmonary Fibrosis - mortality
/ Idiopathic Pulmonary Fibrosis - physiopathology
/ Informatics
/ Lung diseases
/ Male
/ Medical imaging
/ Medical prognosis
/ Middle Aged
/ Mortality
/ Original
/ Pathology
/ Patients
/ Prognosis
/ Pulmonary fibrosis
/ Respiratory Function Tests
/ Survival analysis
/ Tomography, X-Ray Computed - methods
/ Vital Capacity
2018
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Predicting Outcomes in Idiopathic Pulmonary Fibrosis Using Automated Computed Tomographic Analysis
by
Brun, Anne Laure
, van Moorsel, Coline H. M.
, Desai, Sujal
, van Es, Hendrik W.
, Struik, Marjolijn H. L.
, van Beek, Frouke T.
, Walsh, Simon L. F.
, Kokosi, Maria
, Barnett, Joseph
, Ourselin, Sebastien
, Bartholmai, Brian J.
, Rajagopalan, Srinivasan
, Nair, Arjun
, Karwoski, Ronald
, de Lauretis, Angelo
, Maher, Toby M.
, Renzoni, Elisabetta
, Wells, Athol U.
, Egashira, Ryoko
, Jacob, Joseph
, Cross, Gary
, Altmann, Andre
, Judge, Eoin P.
in
Aged
/ Automation
/ Biomarkers
/ Female
/ Humans
/ Idiopathic Pulmonary Fibrosis - diagnosis
/ Idiopathic Pulmonary Fibrosis - diagnostic imaging
/ Idiopathic Pulmonary Fibrosis - mortality
/ Idiopathic Pulmonary Fibrosis - physiopathology
/ Informatics
/ Lung diseases
/ Male
/ Medical imaging
/ Medical prognosis
/ Middle Aged
/ Mortality
/ Original
/ Pathology
/ Patients
/ Prognosis
/ Pulmonary fibrosis
/ Respiratory Function Tests
/ Survival analysis
/ Tomography, X-Ray Computed - methods
/ Vital Capacity
2018
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Predicting Outcomes in Idiopathic Pulmonary Fibrosis Using Automated Computed Tomographic Analysis
by
Brun, Anne Laure
, van Moorsel, Coline H. M.
, Desai, Sujal
, van Es, Hendrik W.
, Struik, Marjolijn H. L.
, van Beek, Frouke T.
, Walsh, Simon L. F.
, Kokosi, Maria
, Barnett, Joseph
, Ourselin, Sebastien
, Bartholmai, Brian J.
, Rajagopalan, Srinivasan
, Nair, Arjun
, Karwoski, Ronald
, de Lauretis, Angelo
, Maher, Toby M.
, Renzoni, Elisabetta
, Wells, Athol U.
, Egashira, Ryoko
, Jacob, Joseph
, Cross, Gary
, Altmann, Andre
, Judge, Eoin P.
in
Aged
/ Automation
/ Biomarkers
/ Female
/ Humans
/ Idiopathic Pulmonary Fibrosis - diagnosis
/ Idiopathic Pulmonary Fibrosis - diagnostic imaging
/ Idiopathic Pulmonary Fibrosis - mortality
/ Idiopathic Pulmonary Fibrosis - physiopathology
/ Informatics
/ Lung diseases
/ Male
/ Medical imaging
/ Medical prognosis
/ Middle Aged
/ Mortality
/ Original
/ Pathology
/ Patients
/ Prognosis
/ Pulmonary fibrosis
/ Respiratory Function Tests
/ Survival analysis
/ Tomography, X-Ray Computed - methods
/ Vital Capacity
2018
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Predicting Outcomes in Idiopathic Pulmonary Fibrosis Using Automated Computed Tomographic Analysis
Journal Article
Predicting Outcomes in Idiopathic Pulmonary Fibrosis Using Automated Computed Tomographic Analysis
2018
Request Book From Autostore
and Choose the Collection Method
Overview
Quantitative computed tomographic (CT) measures of baseline disease severity might identify patients with idiopathic pulmonary fibrosis (IPF) with an increased mortality risk. We evaluated whether quantitative CT variables could act as a cohort enrichment tool in future IPF drug trials.
To determine whether computer-derived CT measures, specifically measures of pulmonary vessel-related structures (VRSs), can better predict functional decline and survival in IPF and reduce requisite sample sizes in drug trial populations.
Patients with IPF undergoing volumetric noncontrast CT imaging at the Royal Brompton Hospital, London, and St. Antonius Hospital, Utrecht, were examined to identify pulmonary function measures (including FVC) and visual and computer-derived (CALIPER [Computer-Aided Lung Informatics for Pathology Evaluation and Rating] software) CT features predictive of mortality and FVC decline. The discovery cohort comprised 247 consecutive patients, with validation of results conducted in a separate cohort of 284 patients, all fulfilling drug trial entry criteria.
In the discovery and validation cohorts, CALIPER-derived features, particularly VRS scores, were among the strongest predictors of survival and FVC decline. CALIPER results were accentuated in patients with less extensive disease, outperforming pulmonary function measures. When used as a cohort enrichment tool, a CALIPER VRS score greater than 4.4% of the lung was able to reduce the requisite sample size of an IPF drug trial by 26%.
Our study has validated a new quantitative CT measure in patients with IPF fulfilling drug trial entry criteria-the VRS score-that outperformed current gold standard measures of outcome. When used for cohort enrichment in an IPF drug trial setting, VRS threshold scores can reduce a required IPF drug trial population size by 25%, thereby limiting prohibitive trial costs. Importantly, VRS scores identify patients in whom antifibrotic medication prolongs life and reduces FVC decline.
Publisher
American Thoracic Society
This website uses cookies to ensure you get the best experience on our website.