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Diagnostics
Special Issues
Contrast Enhanced Ultrasound: Applications and Challenges
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Contrast Enhanced Ultrasound: Applications and Challenges

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

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 5396

Special Issue Editor

Prof. Dr. Yi Dong

E-Mail Website
Guest Editor
Ultrasound Department, Zhongshan Hospital, Fudan University, Shanghai, China
Interests: contrast enhanced ultrasound; liver; pancreas; radiomics; tumors
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Making an early and accurate diagnosis is of vital importance in clinical decision-making and treatment. More recently, as a non-invasive and real-time medical imaging method, contrast-enhanced ultrasound (CEUS) is used to get dynamic contrast enhancement features that reflect microvascular perfusion information. CEUS is an effective imaging method to complete a variety of clinical tasks, which has great potential for the diagnosis and differential diagnosis of various tumors. With time-intensity curves and quantitative parameters, dynamic CEUS is a useful imaging method to evaluate the treatment response of tumors, especially in the early stage after treatment. Based on deep learning and radiomics analysis, CEUS features could also be extracted to build radiomics models both for diagnosis and for prediction of treatment effects.

The potential subtopics of this Special Issue include:

  1. Contrast-enhanced ultrasound in preoperative diagnosis of tumors, including liver, pancreas, kidney, gallbladder, etc.
  2. Contrast-enhanced ultrasound in the treatment response follow-up of tumors, including chemotherapy, immune therapy, neoadjuvant therapy, HIFU therapy, etc.
  3. Intracavity applications of contrast-enhanced ultrasound.
  4. Application of contrast-enhanced ultrasound in carotid, aorta, renal artery or other vascular diseases.
  5. Machine learning algorithm and radiomics analysis based on contrast-enhanced ultrasound.
  6. Fundamental research focus on contrast-enhanced ultrasound technologies.
  7. UpToDate research on ultrasound contrast agents or microbubbles.

Prof. Dr. Yi Dong
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.

Published Papers (3 papers)

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Research

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11 pages, 1608 KiB  
Article
Non-mass Breast Lesions: Could Multimodal Ultrasound Imaging Be Helpful for Their Diagnosis?
by Wenjuan Guo, Tong Wang, Fan Li, Chao Jia, Siqi Zheng, Xuemei Zhang and Min Bai
Diagnostics 2022, 12(12), 2923; https://doi.org/10.3390/diagnostics12122923 - 23 Nov 2022
Cited by 3 | Viewed by 1461
Abstract
Objective: To develop a prediction model for discriminating malignant from benign breast non-mass-like lesions (NMLs) using conventional ultrasound (US), strain elastography (SE) of US elastography and contrast-enhanced ultrasound (CEUS). Methods: A total of 101 NMLs from 100 patients detected by conventional US were [...] Read more.
Objective: To develop a prediction model for discriminating malignant from benign breast non-mass-like lesions (NMLs) using conventional ultrasound (US), strain elastography (SE) of US elastography and contrast-enhanced ultrasound (CEUS). Methods: A total of 101 NMLs from 100 patients detected by conventional US were enrolled in this retrospective study. The characteristics of NMLs in conventional US, SE and CEUS were compared between malignant and benign NMLs. Histopathological results were used as the reference standard. Binary logistic regression analysis was performed to identify the independent risk factors. A multimodal method to evaluate NMLs based on logistic regression was developed. The diagnostic performance of conventional US, US + SE, US + CEUS and the combination of these modalities was evaluated and compared. Results: Among the 101 lesions, 50 (49.5%) were benign and 51 (50.5%) were malignant. Age ≥45 y, microcalcifications in the lesion, elasticity score >3, earlier enhancement time and hyper-enhancement were independent diagnostic indicators included to establish the multimodal prediction method. The area under the receiver operating characteristic curve (AUC) of US + SE + CEUS was significantly higher than that of US (p < 0.0001) and US + SE (p < 0.0001), but there was no significant difference between the AUC of US + SE + CEUS and the AUC of US + CEUS (p = 0.216). Conclusion: US + SE + CEUS and US + CEUS could significantly improve the diagnostic efficiency and accuracy of conventional US in the diagnosis of NMLs. Full article
(This article belongs to the Special Issue Contrast Enhanced Ultrasound: Applications and Challenges)
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11 pages, 1443 KiB  
Article
Prediction of Histological Grades and Ki-67 Expression of Hepatocellular Carcinoma Based on Sonazoid Contrast Enhanced Ultrasound Radiomics Signatures
by Yi Dong, Dan Zuo, Yi-Jie Qiu, Jia-Ying Cao, Han-Zhang Wang and Wen-Ping Wang
Diagnostics 2022, 12(9), 2175; https://doi.org/10.3390/diagnostics12092175 - 8 Sep 2022
Cited by 6 | Viewed by 1514
Abstract
Objectives: Histopathological tumor grade and Ki-67 expression level are key aspects concerning the prognosis of patients with hepatocellular carcinoma (HCC) lesions. The aim of this study was to investigate whether the radiomics model derived from Sonazoid contrast-enhanced (S-CEUS) images could predict histological grades [...] Read more.
Objectives: Histopathological tumor grade and Ki-67 expression level are key aspects concerning the prognosis of patients with hepatocellular carcinoma (HCC) lesions. The aim of this study was to investigate whether the radiomics model derived from Sonazoid contrast-enhanced (S-CEUS) images could predict histological grades and Ki-67 expression of HCC lesions. Methods: This prospective study included 101 (training cohort: n = 71; validation cohort: n = 30) patients with surgical resection and histopathologically confirmed HCC lesions. Radiomics features were extracted from the B mode and Kupffer phase of S-CEUS images. Maximum relevance minimum redundancy (MRMR) and least absolute shrinkage and selection operator (LASSO) were used for feature selection, and a stepwise multivariate logit regression model was trained for prediction. Model accuracy, sensitivity, and specificity in both training and testing datasets were used to evaluate performance. Results: The prediction model derived from Kupffer phase images (CE-model) displayed a significantly better performance in the prediction of stage III HCC patients, with an area under the receiver operating characteristic curve (AUROC) of 0.908 in the training dataset and 0.792 in the testing set. The CE-model demonstrated generalizability in identifying HCC patients with elevated Ki-67 expression (>10%) with a training AUROC of 0.873 and testing AUROC of 0.768, with noticeably higher specificity of 92.3% and 80.0% in training and testing datasets, respectively. Conclusions: The radiomics model constructed from the Kupffer phase of S-CEUS images has the potential for predicting Ki-67 expression and histological stages in patients with HCC. Full article
(This article belongs to the Special Issue Contrast Enhanced Ultrasound: Applications and Challenges)
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Review

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10 pages, 664 KiB  
Review
Nanoscale Contrast Agents for Ultrasound Imaging of Musculoskeletal System
by Xiaoyi Tang, Mengxin Zhao, Wei Li and Jiaqi Zhao
Diagnostics 2022, 12(11), 2582; https://doi.org/10.3390/diagnostics12112582 - 25 Oct 2022
Cited by 6 | Viewed by 1785
Abstract
Musculoskeletal ultrasound (MSKUS) has been recognized as an important method for the evaluation of diseases of the musculoskeletal system, and contrast-enhanced ultrasound (CEUS) technology is becoming an important branch of it. The development of novel materials and tiny nano-formulations has further expanded ultrasound [...] Read more.
Musculoskeletal ultrasound (MSKUS) has been recognized as an important method for the evaluation of diseases of the musculoskeletal system, and contrast-enhanced ultrasound (CEUS) technology is becoming an important branch of it. The development of novel materials and tiny nano-formulations has further expanded ultrasound contrast agents (UCAs) into the field of nanotechnology. Over the years, nanoscale contrast agents have been found to play an unexpected role in the integration of precise imaging for diagnosis and treatment of numerous diseases. It has been demonstrated that nanoscale UCAs (nUCAs) have advantages in imaging over conventional contrast agents, including superior biocompatibility, serum stability, and longer lifetime. The potential value of nUCAs in the musculoskeletal system is that they provide more reliable and clinically valuable guidance for the diagnosis, treatment, and follow-up of related diseases. The frontier of advances in nUCAs, their applications, and insights in MSKUS are reviewed in this paper. Full article
(This article belongs to the Special Issue Contrast Enhanced Ultrasound: Applications and Challenges)
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