Intra-perinodular Textural Transition (Ipris): A 3D Descriptor for Nodule Diagnosis on Lung CT

2017 ◽  
pp. 647-655 ◽  
Author(s):  
Mehdi Alilou ◽  
Mahdi Orooji ◽  
Anant Madabhushi
Keyword(s):  
Textural Transition ◽  
3D Descriptor ◽  
Lung Ct

scholarly journals Robust prediction of mortality of covid-19 patients based on quantitative, operator-independent, lung ct densitometry

2021 ◽  
Author(s):  
Martina Mori ◽  
Diego Palumbo ◽  
Rebecca De Lorenzo ◽  
Sara Broggi ◽  
Nicola Compagnone ◽  
...  
Keyword(s):  
Prediction Of Mortality ◽  
Robust Prediction ◽  
Lung Ct

scholarly journals SAT0306 SEMIQUANTITATIVE AND QUANTITATIVE ANALYSIS OF LUNG CT IN THE ASSESSMENT OF INTERSTITIAL LUNG DISEASE IN IDIOPATHIC INFLAMMATORY MYOPATHIES WITH A FOCUS ON ANTISYNTHETASE.

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1098.2-1098
Author(s):  
S. Barsotti ◽  
C. Roncella ◽  
A. Valentini ◽  
L. Cavagna ◽  
R. Castellana ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Interstitial Lung Disease ◽  
Lung Disease ◽  
Special Focus ◽  
Idiopathic Inflammatory Myopathies ◽  
Inflammatory Myopathies ◽  
Increased Risk ◽  
Group 2 ◽  
Lung Ct ◽  
Group 1

Background:Interstitial lung disease (ILD), is common in patients with idiopathic inflammatory myopathies (IIM) and strongly impact on patients’ morbidity and mortality. Patients with anti-aminoacyl-transfer RNA-synthetases (anti-ARS) antibodies are associated with an increased risk of ILD.Objectives:Defining the radiological characteristics of IIM patients, with special focus on serological groups, through qualitative, semiquantitative and quantitative analysis of lung CT.Methods:This was a prospective study conducted from 2016 to 2019. Ninety-eight IIM patients (35 men, 63 women) were included. Myositis specific autoantibodies (MSA) were assessed with Myositis Prophyle III (Euroimmune, Lubeck).Each patient had a baseline CT; the total score of Warrick (WS) was obtained at semiquantitative analysis. The radiological scores ILD% (interstitial lung disease %) and PVRS% (pulmonary vascular related structure) were the result of quantitative analysis in 61 patients (CALIPER). Pulmonary function tests (PFTs) included TLC%, FVC% and DLCO% (65 patients). The analysis was conducted in the whole group and divided in subgroups based on their MSA pattern: in particular anti-ARS (Group 1) and patients negative to MSA (Group 2) were analysed.Results:Positive correlations between ILD% and PVRS% (Rho=0.916; ρ=0.000), WS and ILD% (Rho=0.663; ρ=0.000) and WS and PVRS% (Rho=0.637; ρ<0.001) were found.The most relevant inverse correlations were found between ILD% and DLCO% (Rho=-0.590; ρ=0.001), PVRS% and DLCO% (Rho=-0.549; ρ<0.001) and WS and DLCO% (Rho=-0.471; ρ<0.001).Statistically significant higher values of WS, ILD% and PVRS% were found in Group 1 (WS=15, ILD%=11 and PVRS%=3.5), compared to Group 2 (WS=2.5, ILD%=0.84 and PVRS%=2.2). NSIP pattern resulted dominant represented in the two groups (80% Group 1, 75% Group 2). No statistically significant differences of DLCO%, FVC% and TLCO% were found.Conclusion:The inverse correlations between the radiological scores and the functional data TLC% and DLCO% (ρ<0.001) confirm the role of lung CT in the clinical management of ILD in IIM patients, and may represent a promising tool for clinical trials. For the first time anti-ARS and serological negative patients were defined through qualitative, semiquantitative and quantitative analysis of lung CT. Further study should be conducted in order to define the prognostic value of the quantitative analysis of lung CT in the follow up of IIM patients.Disclosure of Interests:None declared

scholarly journals EP1.11-04 Low Dose Lung CT Screening in First Responders in the Phoenix Metro Area: A Feasability Study

2019 ◽  
Vol 14 (10) ◽  
pp. S1009
Author(s):  
V. Shukla ◽  
S. Brandman ◽  
M. Petersen-Incorvaia ◽  
K. Kalkbrenner ◽  
J. Denogean ◽  
...  
Keyword(s):  
Low Dose ◽  
First Responders ◽  
Ct Screening ◽  
Metro Area ◽  
Lung Ct ◽  
The Phoenix

GUI-CAD Tool for Segmentation and Classification of Abnormalities in Lung CT Image

2019 ◽  
Vol 8 (1) ◽  
pp. 9-31
Author(s):  
V. Vijaya Kishore ◽  
R.V.S. Satyanarayana
Keyword(s):  
Region Of Interest ◽  
Performance Measure ◽  
Morphological Operations ◽  
Interactive 3D ◽  
And Performance ◽  
Aided Diagnosis ◽  
Lung Ct ◽  
Clinical Expert ◽  
Clinical Determination

A vital necessity for clinical determination and treatment is an opportunity to prepare a procedure that is universally adaptable. Computer aided diagnosis (CAD) of various medical conditions has seen a tremendous growth in recent years. The frameworks combined with expanding capacity, the coliseum of CAD is touching new spaces. The goal of proposed work is to build an easy to understand multifunctional GUI Device for CAD that performs intelligent preparing of lung CT images. Functions implemented are to achieve region of interest (ROI) segmentation for nodule detection. The nodule extraction from ROI is implemented by morphological operations, reducing the complexity and making the system suitable for real-time applications. In addition, an interactive 3D viewer and performance measure tool that quantifies and measures the nodules is integrated. The results are validated through clinical expert. This serves as a foundation to determine, the decision of treatment and the prospect of recovery.

A 3D Descriptor based on Local Height Image

2018 ◽  
Author(s):  
Tiecheng Sun ◽  
Shuaicheng Liu ◽  
Guanghui Liu ◽  
Shuyuan Zhu ◽  
Zhipeng Zhu
Keyword(s):  
3D Descriptor

scholarly journals Motion correction for routine X-ray lung CT imaging

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Doil Kim ◽  
Jiyoung Choi ◽  
Duhgoon Lee ◽  
Hyesun Kim ◽  
Jiyoung Jung ◽  
...  
Keyword(s):  
Motion Estimation ◽  
Motion Correction ◽  
Ct Imaging ◽  
Motion Artifacts ◽  
Ct Scans ◽  
Breath Hold ◽  
X Ray ◽  
Wide Range ◽  
Thorax Ct ◽  
Lung Ct

AbstractA novel motion correction algorithm for X-ray lung CT imaging has been developed recently. It was designed to perform for routine chest or thorax CT scans without gating, namely axial or helical scans with pitch around 1.0. The algorithm makes use of two conjugate partial angle reconstruction images for motion estimation via non-rigid registration which is followed by a motion compensated reconstruction. Differently from other conventional approaches, no segmentation is adopted in motion estimation. This makes motion estimation of various fine lung structures possible. The aim of this study is to explore the performance of the proposed method in correcting the lung motion artifacts which arise even under routine CT scans with breath-hold. The artifacts are known to mimic various lung diseases, so it is of great interest to address the problem. For that purpose, a moving phantom experiment and clinical study (seven cases) were conducted. We selected the entropy and positivity as figure of merits to compare the reconstructed images before and after the motion correction. Results of both phantom and clinical studies showed a statistically significant improvement by the proposed method, namely up to 53.6% (p < 0.05) and up to 35.5% (p < 0.05) improvement by means of the positivity measure, respectively. Images of the proposed method show significantly reduced motion artifacts of various lung structures such as lung parenchyma, pulmonary vessels, and airways which are prominent in FBP images. Results of two exemplary cases also showed great potential of the proposed method in correcting motion artifacts of the aorta which is known to mimic aortic dissection. Compared to other approaches, the proposed method provides an excellent performance and a fully automatic workflow. In addition, it has a great potential to handle motions in wide range of organs such as lung structures and the aorta. We expect that this would pave a way toward innovations in chest and thorax CT imaging.

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