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Chen Q, Shi B, Zheng Y, Hu X. Analysis of influencing factors of shear wave elastography of the superficial tissue: A phantom study. Front Med (Lausanne) 2022; 9:943844. [PMID: 36004380 PMCID: PMC9393305 DOI: 10.3389/fmed.2022.943844] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Accepted: 07/11/2022] [Indexed: 11/22/2022] Open
Abstract
Shear wave elastography (SWE) is widely used in clinical work. But there is no standard protocol and operation specification for SWE acquisition methods, which impacts the diagnosis and clinical staging. This study aimed to investigate the influence factors of diameter, depth, and stiffness on SWE using different probes at superficial depths and discuss SWE differences with two machines at superficial depths. We performed SWE on two elastic phantoms that each phantom contained six subjects with two stiffness (41.06 ± 4.62 kpa and 57.30 ± 4.31 kpa), three diameters (10, 15, and 18 mm), and two depths (15 and 25 mm). A total of 240 measurements were obtained by using two ultrasound machines (SuperSonic Imagine Aixplorer and Mindray Resona 7) and 4 probes (SL15-4 and SL10-2, L11-3, and L14-5). The measurements were compared among 4 probes, 3 diameters, and 2 depths. There was no significant difference in SWE measurements among the probes from the same machine. The SWE measurements were affected by diameter, and the degree of influence was related to the stiffness. The SWE measurements were unaffected at a 15–25 mm depth range.
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Affiliation(s)
- Qiyang Chen
- Department of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Baixue Shi
- Department of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Yang Zheng
- AML, Department of Engineering Mechanics, Institute of Biomechanics and Medical Engineering, Tsinghua University, Beijing, China
| | - Xiangdong Hu
- Department of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing, China
- *Correspondence: Xiangdong Hu,
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Cantisani V, De Silvestri A, Scotti V, Fresilli D, Tarsitano MG, Polti G, Guiban O, Polito E, Pacini P, Durante C, Grani G, Isidori AM, Giannetta E, Sorrenti S, Trimboli P, Catalano C, Cirocchi R, Lauro A, D'Andrea V. US-Elastography With Different Techniques for Thyroid Nodule Characterization: Systematic Review and Meta-analysis. Front Oncol 2022; 12:845549. [PMID: 35371974 PMCID: PMC8966910 DOI: 10.3389/fonc.2022.845549] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 02/16/2022] [Indexed: 12/25/2022] Open
Abstract
Background Thyroid nodules are frequent in adult population and thyroid cancer incidence has increased dramatically over the past three decades. The aim of this systematic review and meta-analysis was to evaluate the US-Elastosonography (USE) diagnostic performance in assessing the thyroid nodules malignancy risk. Methods PubMed and Embase databases were searched from January 2011 to July 2021. We extracted data from selected studies and calculated the overall diagnostic accuracy of qualitative USE, semi-quantitative USE and quantitative USE. Summary receiver operating characteristic (ROC) curve was elaborated to show the results. All statistical tests were performed using Metadisc and Medcal software package. Results Finally 72 studies with 13,505 patients and 14,015 thyroid nodules (33% malignant) undergoing elastography were included. The pooled sensitivity, specificity and AUC were 84%, 81%, and 0.89 respectively for qualitative USE; 83%, 80%, and 0.93 for semi-quantitative USE and 78%, 81% and 0.87, for quantitative USE. The qualitative and semiquantitative USE present very similar diagnostic accuracy values and both better than the quantitative USE. Conclusions USE is a useful imaging tool for thyroid nodule characterization. In accordance with recent guidelines and meta-analyses, the USE could be used daily in thyroid nodule malignancy risk stratification. Systematic Review Registration PROSPERO: CRD42021279257.
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Affiliation(s)
- Vito Cantisani
- Department of Radiological Sciences, Oncology and Pathology, Policlinico Umberto I, Sapienza University of Rome, Rome, Italy
| | - Annalisa De Silvestri
- Servizio di Epidemiologia Clinica e Biometria Direzione Scientifica-Fondazione Istituti di Ricovero e Cura a Carattere Scientifico (IRCCS) Policlinico san Matteo, Pavia, Italy
| | - Valeria Scotti
- Servizio di Epidemiologia Clinica e Biometria Direzione Scientifica-Fondazione Istituti di Ricovero e Cura a Carattere Scientifico (IRCCS) Policlinico san Matteo, Pavia, Italy
| | - Daniele Fresilli
- Department of Radiological Sciences, Oncology and Pathology, Policlinico Umberto I, Sapienza University of Rome, Rome, Italy
| | - Maria Grazia Tarsitano
- Department of Clinical and Surgical Science, "Magna Graecia" University, Catanzaro, Italy
| | - Giorgia Polti
- Department of Radiological Sciences, Oncology and Pathology, Policlinico Umberto I, Sapienza University of Rome, Rome, Italy
| | - Olga Guiban
- Department of Radiological Sciences, Oncology and Pathology, Policlinico Umberto I, Sapienza University of Rome, Rome, Italy
| | - Eleonora Polito
- Department of Radiological Sciences, Oncology and Pathology, Policlinico Umberto I, Sapienza University of Rome, Rome, Italy
| | - Patrizia Pacini
- Department of Radiological Sciences, Oncology and Pathology, Policlinico Umberto I, Sapienza University of Rome, Rome, Italy
| | - Cosimo Durante
- Department of Translational and Precision Medicine, "Sapienza" University of Rome, Rome, Italy
| | - Giorgio Grani
- Department of Translational and Precision Medicine, "Sapienza" University of Rome, Rome, Italy
| | - Andrea M Isidori
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
| | - Elisa Giannetta
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
| | - Salvatore Sorrenti
- Department of Surgical Sciences, Hospital "Policlinico Umberto I", "Sapienza" University of Rome, Rome, Italy
| | - Pierpaolo Trimboli
- Clinic for Endocrinology and Diabetology, Lugano Regional Hospital, Ente Ospedaliero Cantonale, Lugano, Switzerland
| | - Carlo Catalano
- Department of Radiological Sciences, Oncology and Pathology, Policlinico Umberto I, Sapienza University of Rome, Rome, Italy
| | - Roberto Cirocchi
- Department of Surgery and Biomedical Sciences, University of Perugia, Perugia, Italy
| | - Augusto Lauro
- Department of Surgical Sciences, Hospital "Policlinico Umberto I", "Sapienza" University of Rome, Rome, Italy
| | - Vito D'Andrea
- Department of Surgical Sciences, Hospital "Policlinico Umberto I", "Sapienza" University of Rome, Rome, Italy
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Guo SY, Zhou P, Zhang Y, Jiang LQ, Zhao YF. Exploring the Value of Radiomics Features Based on B-Mode and Contrast-Enhanced Ultrasound in Discriminating the Nature of Thyroid Nodules. Front Oncol 2021; 11:738909. [PMID: 34722288 PMCID: PMC8551634 DOI: 10.3389/fonc.2021.738909] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 09/24/2021] [Indexed: 12/12/2022] Open
Abstract
Background With the improvement of ultrasound imaging resolution and the application of various new technologies, the detection rate of thyroid nodules has increased greatly in recent years. However, there are still challenges in accurately diagnosing the nature of thyroid nodules. This study aimed to evaluate the clinical application value of the radiomics features extracted from B-mode ultrasound (B-US) images combined with contrast-enhanced ultrasound (CEUS) images in the differentiation of benign and malignant thyroid nodules by comparing the diagnostic performance of four logistic models. Methods We retrospectively collected and ultimately included B-US images and CEUS images of 123 nodules from 123 patients, and then extracted the corresponding radiomics features from these images respectively. Meanwhile, a senior radiologist combined the thyroid imaging reporting and data system (TI-RADS) and the enhancement pattern of the ultrasonography to make a graded diagnosis of the malignancy of these nodules. Next, based on these radiomics features and grades, logistic regression was used to help build the models (B-US radiomics model, CEUS radiomics model, B-US+CEUS radiomics model, and TI-RADS+CEUS model). Finally, the study assessed the diagnostic performance of these radiomics features with a comparison of the area under the curve (AUC) of the receiver operating characteristic curve of four logistic models for predicting the benignity or malignancy of thyroid nodules. Results The AUC in the differential diagnosis of the nature of thyroid nodules was 0.791 for the B-US radiomics model, 0.766 for the CEUS radiomics model, 0.861 for the B-US+CEUS radiomics model, and 0.785 for the TI-RADS+CEUS model. Compared to the TI-RADS+CEUS model, there was no statistical significance observed in AUC between the B-US radiomics model, CEUS radiomics model, B-US+CEUS radiomics model, and TI-RADS+CEUS model (P>0.05). However, a significant difference was observed between the single B-US radiomics model or CEUS radiomics model and B-US+CEUS radiomics model (P<0.05). Conclusion In our study, the B-US radiomics model, CEUS radiomics model, and B-US+CEUS radiomics model demonstrated similar performance with the TI-RADS+CEUS model of senior radiologists in diagnosing the benignity or malignancy of thyroid nodules, while the B-US+CEUS radiomics model showed better diagnostic performance than single B-US radiomics model or CEUS radiomics model. It was proved that B-US radiomics features and CEUS radiomics features are of high clinical value as the combination of the two had better diagnostic performance.
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Affiliation(s)
- Shi Yan Guo
- The Department of Ultrasound, Xiangya Third Hospital, Central South University, Changsha, China
| | - Ping Zhou
- The Department of Ultrasound, Xiangya Third Hospital, Central South University, Changsha, China
| | - Yan Zhang
- The Department of Ultrasound, Xiangya Third Hospital, Central South University, Changsha, China
| | - Li Qing Jiang
- The Department of Ultrasound, Xiangya Third Hospital, Central South University, Changsha, China
| | - Yong Feng Zhao
- The Department of Ultrasound, Xiangya Third Hospital, Central South University, Changsha, China
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