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Diagnostics
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Recent Advances in Radiomics in Medical Imaging
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Recent Advances in Radiomics in Medical Imaging

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".

Deadline for manuscript submissions: 30 June 2024 | Viewed by 1567

Special Issue Editor

Prof. Dr. Xiang Li

E-Mail Website
Guest Editor
Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria
Interests: PET/CT; SPECT/CT; molecular imaging; nuclear cardiology; atherosclerosis; radiomics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the rapid development of medical technology, medical imaging has undergone tremendous changes in the past few years. Among them, Radiomics, as an emerging medical image analysis method, has shown great potential in diagnosis, prognosis prediction, efficacy evaluation and personalized treatment. This Special Issue will focus on the latest progress of Radiomics in medical imaging in recent years.

Radiomics extracts, analyzes and mines a large amount of high-dimensional information contained in medical images to achieve accurate diagnosis and in-depth understanding of diseases. Compared with traditional image analysis methods, Radiomics can reflect the characteristics of lesions more comprehensively and accurately, and improve the accuracy of diagnosis.

This Special Issue will invite experts and scholars in related fields to conduct in-depth discussions and exchanges on the latest research progress of Radiomics in medical imaging. We hope that through the discussion and exchange of this Special Issue, we can promote the application and development of Radiomics in medical imaging and make greater contributions to the cause of human health.

Prof. Dr. Xiang Li
Guest Editor

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. Diagnostics 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

  • radiomics
  • PET/CT
  • SPECT/CT
  • medical imaging
  • cancers

Published Papers (2 papers)

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Research

11 pages, 2484 KiB  
Article
In Vivo Classification and Characterization of Carotid Atherosclerotic Lesions with Integrated 18F-FDG PET/MRI
by Fan Yu, Yue Zhang, Heyu Sun, Xiaoran Li, Yi Shan, Chong Zheng, Bixiao Cui, Jing Li, Yang Yang, Bin Yang, Yan Ma, Yabing Wang, Liqun Jiao, Xiang Li and Jie Lu
Diagnostics 2024, 14(10), 1006; https://doi.org/10.3390/diagnostics14101006 - 13 May 2024
Viewed by 246
Abstract
Background: The aim of this study was to exploit integrated PET/MRI to simultaneously evaluate the morphological, component, and metabolic features of advanced atherosclerotic plaques and explore their incremental value. Methods: In this observational prospective cohort study, patients with advanced plaque in the carotid [...] Read more.
Background: The aim of this study was to exploit integrated PET/MRI to simultaneously evaluate the morphological, component, and metabolic features of advanced atherosclerotic plaques and explore their incremental value. Methods: In this observational prospective cohort study, patients with advanced plaque in the carotid artery underwent 18F-FDG PET/MRI. Plaque morphological features were measured, and plaque component features were determined via MRI according to AHA lesion-types. Maximum standardized uptake values (SUVmax) and tissue to background ratio (TBR) on PET were calculated. Area under the receiver-operating characteristic curve (AUC) and net reclassification improvement (NRI) were used to compare the incremental contribution of FDG uptake when added to AHA lesion-types for symptomatic plaque classification. Results: A total of 280 patients with advanced plaque in the carotid artery were recruited. A total of 402 plaques were confirmed, and 87 of 402 (21.6%) were symptomatic plaques. 18F-FDG PET/MRI was performed a mean of 38 days (range 1–90) after the symptom. Increased stenosis degree (61.5% vs. 50.0%, p < 0.001) and TBR (2.96 vs. 2.32, p < 0.001) were observed in symptomatic plaques compared with asymptomatic plaques. The performance of the combined model (AHA lesion type VI + stenosis degree + TBR) for predicting symptomatic plaques was the best among all models (AUC = 0.789). The improvement of the combined model (AHA lesion type VII + stenosis degree + TBR) over AHA lesion type VII model for predicting symptomatic plaques was the highest (AUC = 0.757/0.454, combined model/AHA lesion type VII model), and the NRI was 50.7%. Conclusions: Integrated PET/MRI could simultaneously evaluate the morphological component and inflammation features of advanced atherosclerotic plaques and provide supplementary optimization information over AHA lesion-types for identifying vulnerable plaques in atherosclerosis subjects to achieve further stratification of stroke risk. Full article
(This article belongs to the Special Issue Recent Advances in Radiomics in Medical Imaging)
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14 pages, 3667 KiB  
Article
Clinical and MRI-Based Assessment of Patients with Temporomandibular Disorders Treated by Controlled Mandibular Repositioning
by Diwakar Singh, Alain Landry, Martina Schmid-Schwap, Eva Piehslinger, André Gahleitner, Jiang Chen and Xiaohui Rausch-Fan
Diagnostics 2024, 14(6), 572; https://doi.org/10.3390/diagnostics14060572 - 7 Mar 2024
Viewed by 1008
Abstract
Background: Occlusal splints and anterior repositioning splints (ARSs) are widely accepted treatments for temporomandibular disorders (TMDs). However, there is uncertainty with regard to the most suitable amount of mandibular repositioning. The aim of this study is to evaluate the clinical and functional effects [...] Read more.
Background: Occlusal splints and anterior repositioning splints (ARSs) are widely accepted treatments for temporomandibular disorders (TMDs). However, there is uncertainty with regard to the most suitable amount of mandibular repositioning. The aim of this study is to evaluate the clinical and functional effects of the therapeutic position (ThP) established based on the Controlled Mandibular Repositioning (CMR) method. Methods: In this clinical trial, 20 subjects with 37 joints with disc displacement with reduction were recruited. The initial standard functional diagnostic protocol, MRI, and digital condylography were performed, and ThP was calculated with the CMR method. After a 6-month follow-up, the standard diagnostic protocol was repeated. The change in disc position was evaluated by means of MRI after 6 months of CMR therapy. Results: The MRI findings in the parasagittal plane demonstrated that out of the 37 joints presenting disc displacement, 36 discs were successfully repositioned; thus, the condyle–disc–fossa relationship was re-established. Therefore, the success rate of this pilot study was 97.3%. The mean position of the displaced discs was at 10:30 o’clock of the TMJ joint and at 12:00 o’clock after CMR therapy. Conclusions: The ThP determined using the CMR approach reduced all of the anteriorly displaced discs (except one). The CMR method allowed to define an optimum ThP of the mandible thus supporting patients’ effective adaptation to treatment position. Full article
(This article belongs to the Special Issue Recent Advances in Radiomics in Medical Imaging)
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