Literature DB >> 21926855

Method for minimizing observer variation for the quantitation of high-resolution computed tomographic signs of lung disease.

Nicola Sverzellati1, Anand Devaraj, Sujal R Desai, Maureen Quigley, Athol U Wells, David M Hansell.   

Abstract

OBJECTIVES: This study aimed to describe a method of reducing interobserver variation associated with the visual quantitation of high-resolution computed tomographic (HRCT) signs of airways and interstitial lung disease (ILD).
METHODS: The HRCT scans of 2 cohorts of patients with airways disease (n = 144) and ILD (n = 109) were evaluated by 2 observers. Selected signs of airways disease were evaluated: (1) bronchial wall thickness and (2) the extent of the decreased attenuation. In the ILD group, the total extent of disease was scored. These 3 HRCT signs were scored by 2 observers independently using a standard method. The observers rescored the CT scans with a new scoring system (continuous learning method, CLM).
RESULTS: Observer agreement for CT signs was superior for CLM: bronchial wall thickness κw increased from 0.51 to 0.76; for decreased attenuation, κw increased from 0.34 to 0.81; and for ILD extent, κw increased from 0.53 to 0.87.
CONCLUSIONS: The CLM reduces noise from observer variation in studies that require visual quantitation of HRCT signs of lung disease.

Entities:  

Mesh:

Year:  2011        PMID: 21926855     DOI: 10.1097/RCT.0b013e3182277d05

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  8 in total

1.  Chest Computed Tomography-Based Scoring of Thoracic Sarcoidosis: Inter-rater Reliability of CT Abnormalities.

Authors:  D A Van den Heuvel; P A de Jong; P Zanen; H W van Es; J P van Heesewijk; M Spee; J C Grutters
Journal:  Eur Radiol       Date:  2015-04-09       Impact factor: 5.315

2.  Emphysema progression is visually detectable in low-dose CT in continuous but not in former smokers.

Authors:  Mathilde Marie Winkler Wille; Laura H Thomsen; Asger Dirksen; Jens Petersen; Jesper Holst Pedersen; Saher B Shaker
Journal:  Eur Radiol       Date:  2014-07-20       Impact factor: 5.315

3.  Quantitative computed tomography imaging of interstitial lung diseases.

Authors:  Brian J Bartholmai; Sushravya Raghunath; Ronald A Karwoski; Teng Moua; Srinivasan Rajagopalan; Fabien Maldonado; Paul A Decker; Richard A Robb
Journal:  J Thorac Imaging       Date:  2013-09       Impact factor: 3.000

4.  Interobserver variability in high-resolution CT of the lungs.

Authors:  Jonas Widell; Mats Lidén
Journal:  Eur J Radiol Open       Date:  2020-03-31

5.  Deep Learning-based Approach for Automated Assessment of Interstitial Lung Disease in Systemic Sclerosis on CT Images.

Authors:  Guillaume Chassagnon; Maria Vakalopoulou; Alexis Régent; Evangelia I Zacharaki; Galit Aviram; Charlotte Martin; Rafael Marini; Norbert Bus; Naïm Jerjir; Arsène Mekinian; Thông Hua-Huy; Laurence Monnier-Cholley; Nouria Benmostefa; Luc Mouthon; Anh-Tuan Dinh-Xuan; Nikos Paragios; Marie-Pierre Revel
Journal:  Radiol Artif Intell       Date:  2020-07-15

6.  Serial CT analysis in idiopathic pulmonary fibrosis: comparison of visual features that determine patient outcome.

Authors:  Joseph Jacob; Leon Aksman; Nesrin Mogulkoc; Alex J Procter; Bahareh Gholipour; Gary Cross; Joseph Barnett; Christopher J Brereton; Mark G Jones; Coline H van Moorsel; Wouter van Es; Frouke van Beek; Marcel Veltkamp; Sujal R Desai; Eoin Judge; Teresa Burd; Maria Kokosi; Recep Savas; Selen Bayraktaroglu; Andre Altmann; Athol U Wells
Journal:  Thorax       Date:  2020-04-28       Impact factor: 9.139

Review 7.  The Use and Utility of Machine Learning in Achieving Precision Medicine in Systemic Sclerosis: A Narrative Review.

Authors:  Francesco Bonomi; Silvia Peretti; Gemma Lepri; Vincenzo Venerito; Edda Russo; Cosimo Bruni; Florenzo Iannone; Sabina Tangaro; Amedeo Amedei; Serena Guiducci; Marco Matucci Cerinic; Silvia Bellando Randone
Journal:  J Pers Med       Date:  2022-07-23

8.  High-Resolution CT Change over Time in Patients with Idiopathic Pulmonary Fibrosis on Antifibrotic Treatment.

Authors:  Elisabetta Balestro; Elisabetta Cocconcelli; Chiara Giraudo; Roberta Polverosi; Davide Biondini; Donato Lacedonia; Erica Bazzan; Linda Mazzai; Giulia Rizzon; Sara Lococo; Graziella Turato; Mariaenrica Tinè; Manuel G Cosio; Marina Saetta; Paolo Spagnolo
Journal:  J Clin Med       Date:  2019-09-15       Impact factor: 4.241

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.