Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.7
3.0
Journals
JCM
Special Issues
The Clinical Role of Imaging in Lung Diseases
jcm-logo
Submit to Special Issue Submit Abstract to Special Issue Review for JCM Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

The Clinical Role of Imaging in Lung Diseases

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Respiratory Medicine".

Deadline for manuscript submissions: 10 August 2025 | Viewed by 2502

Special Issue Editors

Dr. Isabelle Fitton

E-Mail Website
Guest Editor
Department of Radiology, Assistance Publique-Hôpitaux de Paris, Hôpital Européen Georges Pompidou, 75015 Paris, France
Interests: medical imaging; test objects; segmentation; radiation; mammography; computed tomography; magnetic resonance imaging
Dr. Claire Van Ngoc Ty

E-Mail
Guest Editor
Department of Radiology, Assistance Publique-Hôpitaux de Paris, Hôpital Européen Georges Pompidou, 75015 Paris, France
Interests: interventional radiology; computed tomography; medical imaging

Special Issue Information

Dear Colleagues,

The lungs are susceptible to a wide range of diseases. Three types of lung disease prevent the lung from working properly: airway diseases such as chronic obstructive pulmonary disease or bronchiectasis, tissue diseases such as pulmonary fibrosis, and circulation diseases such as pulmonary hypertension. Imaging plays an essential role in the detection and treatment of these diseases, providing both anatomical and functional information. Several modalities can be used to assess the lungs: computed tomography, magnetic resonance imaging, ultrasonography, nuclear medicine and radiography. The applications are many and varied and can be used, for example, in computed tomography from cancer screening to treatment planning in radiotherapy. Nuclear medicine is a useful tool for characterising nodules and providing metabolic activity data. Technological advances, ongoing research in radiogenomics and artificial intelligence will enable rapid advances in the management of lung disease.

In this Special Issue, we welcome authors to submit papers on the clinical advance of lung imaging in terms of both diagnosis and treatment. This Special Issue should contribute to our collective knowledge and ultimately benefit patients worldwide.

Dr. Isabelle Fitton
Dr. Claire Van Ngoc Ty
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Clinical Medicine is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • lung screening
  • lung cancer
  • acute respiratory distress
  • pulmonary embolism
  • chronic obstructive pulmonary disease
  • imaging

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

11 pages, 2515 KiB  
Article
18F-FDG PET/CT in the Preoperative Diagnostic and Staging of Lung Cancer and as a Predictor of Lymph Node Involvement
by Nathalie Viohl, Matthias Steinert, Martin Freesmeyer, Christian Kühnel and Robert Drescher
J. Clin. Med. 2025, 14(4), 1324; https://doi.org/10.3390/jcm14041324 - 17 Feb 2025
Viewed by 696
Abstract
Background/Objectives: The aim of this study was to evaluate the efficacy and accuracy of PET imaging and performance in defining the preoperative TNM classification, especially the intrathoracic lymph node staging, of patients with lung cancer. Methods: A retrospective, single-institution study of [...] Read more.
Background/Objectives: The aim of this study was to evaluate the efficacy and accuracy of PET imaging and performance in defining the preoperative TNM classification, especially the intrathoracic lymph node staging, of patients with lung cancer. Methods: A retrospective, single-institution study of consecutive patients with surgical therapy of lung cancer that were undergoing preoperative PET/CT scanning at the same center was conducted. A total of 104 patients were included. All patients underwent surgical evaluation with mediastinal and hilar lymph node sampling. Five patients with preoperative suspicion of N3 nodal status who were only tested for N2 were excluded from the observations and analyses of nodal status. Results: PET/CT staged the nodal status correctly in 85 out of 99 patients (85.9%); overstaging occurred in 7 patients (7.1%) and understaging in 7 patients (7.1%). The overall prevalence of lymph node metastases was 42.3%. When preoperative T classification was compared with postoperative histopathological T classification, 75% patients were correctly staged, 13.5% were overstaged, and 11.5% were understaged by PET/CT. In univariate analysis, lymph node involvement was significantly associated (p < 0.05) with the following primary tumor characteristics: increasing diameter (>35 mm), a maximum standardized uptake value > 9.5, and higher grading. The tumor diameter and the degree of differentiation were found to be factors influencing the SUVmax of the primary tumor as well. Conclusions: Our data show that integrated PET/CT provides high accuracy in the intrathoracic nodal staging and tumor expansion of lung cancer patients and emphasizes the continued need for surgical staging. Full article
(This article belongs to the Special Issue The Clinical Role of Imaging in Lung Diseases)
►▼ Show Figures

Figure 1

12 pages, 774 KiB  
Article
A Proposal for a Process from as Low as Reasonably Achievable to an Ultra-Low-Level Goal in Chest Computed Tomography
by Isabelle Fitton, Etienne Charpentier, Emina Arsovic, Jennifer Isaia, Manon Guillou, Aurélien Saltel-Fulero, Laure Fournier and Claire Van Ngoc Ty
J. Clin. Med. 2024, 13(16), 4597; https://doi.org/10.3390/jcm13164597 - 6 Aug 2024
Cited by 1 | Viewed by 1168
Abstract
Background/Objectives: To define and evaluate a radiation dose optimization process for chest computed tomography (CT) imaging. Methods: Data from unenhanced and enhanced chest CT acquisitions performed between June 2018 and January 2020 in adult patients were included in the study. Images were acquired [...] Read more.
Background/Objectives: To define and evaluate a radiation dose optimization process for chest computed tomography (CT) imaging. Methods: Data from unenhanced and enhanced chest CT acquisitions performed between June 2018 and January 2020 in adult patients were included in the study. Images were acquired on a Siemens SOMATOM® Definition Edge CT. Dose values, including Dose.Length Product (DLP) and Volume CT Dose Index (CTDIvol), were collected. Low doses (LDs, 25th percentiles), achievable doses (ADs, 50th percentiles), and diagnostic reference levels (DRLs, 75th percentiles) were calculated before and after parameter modifications. A process was defined and applied to patient data. For unenhanced chest CT, data were differentiated according to three groups: high dose (HD), optimized dose (OD), and ultra-low dose (ULD). Dosimetric changes between protocols were expressed as mean CTDIvol % (CI95%). A Mann and Whitney statistical test was used. The diagnostic quality score (DQS) of a subset of 70 randomly selected CT examinations was evaluated by one radiologist. The DQS was scored according to a three-point Likert scale: (1) poor (definite diagnosis impossible), (2) fair (evaluation of major findings possible), and (3) excellent (exact diagnosis possible). Results: Data were collected from 1929 patients. For unenhanced chest CT protocols, only one process loop was run. A dose comparison between the chest CT protocol before the use of the process and the three groups showed a decrease of −38.3% (9.7%) and −93.4% (24.2%) for OD and ULD, respectively, and an increase of +29.4% (4.7%) for HD. For the enhanced chest CT protocol, two optimization loops were performed, and they resulted in a mean dose reduction of −50.0% (2.6%) compared to the pre-optimization protocol. For all protocols, the DQS was greater than or equal to 2. Conclusions: We proposed a radiation dose optimization process for chest CT that could significantly reduce the dose without compromising diagnosis. Full article
(This article belongs to the Special Issue The Clinical Role of Imaging in Lung Diseases)
►▼ Show Figures

Graphical abstract

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop