Related Experiment Video
Updated: Jan 25, 2026

04:44
Imaging Features of Systemic Sclerosis-Associated Interstitial Lung Disease
Published on: June 16, 2020
20.8K
Novel Imaging Approaches in Systemic Sclerosis-Associated Interstitial Lung Disease
Sydney B Montesi1,2, Peter Caravan3,4
1Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA. sbmontesi@partners.org.
Current Rheumatology Reports
|April 27, 2019
Summary
Novel imaging techniques like quantitative CT and MRI offer new ways to assess systemic sclerosis-associated interstitial lung disease (SSc-ILD), providing functional and molecular insights without radiation.
Area of Science:
- Radiology
- Pulmonology
- Rheumatology
Background:
- Interstitial lung diseases (ILDs) require advanced diagnostic tools.
- Systemic sclerosis-associated ILD (SSc-ILD) presents unique challenges in diagnosis and monitoring.
Purpose of the Study:
- To review novel imaging approaches for SSc-ILD.
- To discuss the applicability of quantitative CT, MRI, and molecular imaging in SSc-ILD.
Main Methods:
- Review of current literature on advanced imaging modalities.
- Focus on quantitative computed tomography (CT), magnetic resonance imaging (MRI), and molecular imaging.
Main Results:
- Quantitative CT aids in assessing treatment response.
- MRI demonstrates high accuracy in SSc-ILD detection and provides functional/molecular data.
- MRI and ultrasound offer radiation-free diagnostic options.
Conclusions:
- Novel imaging techniques provide prognostic, functional, and molecular information for SSc-ILD.
- These methods can detect SSc-ILD non-invasively and quantify treatment response.
- Advanced imaging holds promise for clinical care and trials.
Keywords:
High-resolution computed tomographyInterstitial lung diseaseMagnetic resonance imagingMolecular imagingPulmonary fibrosisSystemic sclerosisMore Related Videos
Related Concept Videos
Lung Capacity
56.2K
The air in the lungs is measured in volumes and capacities. Lung volume measures reflect the amount of air taken in, released, or left over after a lung function, like a single inhalation. Lung capacity measures are sums of two or more lung volume measures.
56.2K
Second Order systems II
396
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
396
First Order Systems
412
First-order systems, such as RC circuits, are foundational in understanding dynamic systems due to their straightforward input-output relationship. Analyzing their responses to different input functions under zero initial conditions reveals significant insights into system behavior.
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
412
Second Order systems I
581
A servo system exemplifies a second-order system, featuring a proportional controller and load elements that ensure the output position aligns with the input position. The relationship between these components is described by a second-order differential equation. Applying the Laplace transform under zero initial conditions yields the transfer function, showing how inputs are converted to outputs in the system.
By reinterpreting the system, one can derive the closed-loop transfer function, which...
By reinterpreting the system, one can derive the closed-loop transfer function, which...
581
Classification of Systems-I
556
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
556
Classification of Systems-II
464
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
464

