Ultrasound-based radiomics: current status, challenges and future opportunities

Jia, Yingying; Yang, Jun; Zhu, Yangyang; Nie, Fang; Wu, HaoAO; Duan, Ying; Chen, Kundi

doi:10.11152/mu-3248

Cited by 12 publications

(20 citation statements)

References 88 publications

(98 reference statements)

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“…This high-throughput strategy to mine quantitative data from medical images searching for novel biomarkers and to generate decision-support models is deemed a feasible approach to overcome the limitations of conventional image interpretation, particularly in oncology [3][4][5]. The potential applications of radiomics are seemingly endless across all imaging modalities, and according to a survey study, the future physicians are confident that advanced computer-aided image analyses will revolutionize radiology for the best [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Systematic review of the radiomics quality score applications: an EuSoMII Radiomics Auditing Group Initiative

et al. 2022

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Objective The main aim of the present systematic review was a comprehensive overview of the Radiomics Quality Score (RQS)–based systematic reviews to highlight common issues and challenges of radiomics research application and evaluate the relationship between RQS and review features. Methods The literature search was performed on multiple medical literature archives according to PRISMA guidelines for systematic reviews that reported radiomic quality assessment through the RQS. Reported scores were converted to a 0–100% scale. The Mann-Whitney and Kruskal-Wallis tests were used to compare RQS scores and review features. Results The literature research yielded 345 articles, from which 44 systematic reviews were finally included in the analysis. Overall, the median of RQS was 21.00% (IQR = 11.50). No significant differences of RQS were observed in subgroup analyses according to targets (oncological/not oncological target, neuroradiology/body imaging focus and one imaging technique/more than one imaging technique, characterization/prognosis/detection/other). Conclusions Our review did not reveal a significant difference of quality of radiomic articles reported in systematic reviews, divided in different subgroups. Furthermore, low overall methodological quality of radiomics research was found independent of specific application domains. While the RQS can serve as a reference tool to improve future study designs, future research should also be aimed at improving its reliability and developing new tools to meet an ever-evolving research space. Key Points • Radiomics is a promising high-throughput method that may generate novel imaging biomarkers to improve clinical decision-making process, but it is an inherently complex analysis and often lacks reproducibility and generalizability. • The Radiomics Quality Score serves a necessary role as the de facto reference tool for assessing radiomics studies. • External auditing of radiomics studies, in addition to the standard peer-review process, is valuable to highlight common limitations and provide insights to improve future study designs and practical applicability of the radiomics models.

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Section: Introductionmentioning

confidence: 99%

Systematic review of the radiomics quality score applications: an EuSoMII Radiomics Auditing Group Initiative

et al. 2022

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“…Flow chart of patient inclusion and exclusion. The diagnosis of CIDP was made based on the European Federation of Neurological Societies and Peripheral Nerve Society criteria (26). The diagnosis of POEMS syndrome was confirmed based on the diagnostic criteria defined by Misawa et al (6).…”

Section: Methodsmentioning

confidence: 99%

“…First, radiomic features with interclass correlation coefficient (ICC) values <0.8 were excluded to stabilize the model. Second, the Welch t-test (26). The diagnosis of POEMS syndrome was confirmed based on the diagnostic criteria defined by Misawa et al (6).…”

Section: Machine Learningmentioning

confidence: 99%

“…Radiomics is a relatively new approach for converting information and features in medical images into quantifiable data (24,25). As is the case in computed tomography and magnetic resonance imaging, US-based radiomics is a rapidly growing approach in imaging research and has already been applied to various organs (26)(27)(28)(29). It extracts a large amount of quantitative data from US images and provides objective texture features, which are barely perceptible to the naked eye.…”

Section: Introductionmentioning

confidence: 99%

“…Based on previous studies (26–29), we hypothesized that radiomic analysis would characterize intraneural echogenic patterns and could be helpful in describing the radiological differences between CIDP and POEMS syndrome on nerve US with the assumption that the extracted features may be related to intraneural histopathological changes in peripheral neuropathy. The aim of the present study was to assess radiomic features based on US images to differentiate peripheral neuropathy between CIDP and POEMS syndrome.…”

Section: Introductionmentioning

confidence: 99%

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Ultrasound-based radiomic analysis of the peripheral nerves for differentiation between CIDP and POEMS syndrome

et al. 2023

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Background Demyelinating peripheral neuropathy is characteristic of both polyneuropathy, organomegaly, endocrinopathy, M-protein, and skin changes (POEMS) syndrome and chronic inflammatory demyelinating polyneuropathy (CIDP). We hypothesized that the different pathogeneses underlying these entities would affect the sonographic imaging features. Purpose To investigate whether ultrasound (US)-based radiomic analysis could extract features to describe the differences between CIDP and POEMS syndrome. Material and Methods In this retrospective study, we evaluated nerve US images from 26 with typical CIDP and 34 patients with POEMS syndrome. Cross-sectional area (CSA) and echogenicity of the median and ulnar nerves were evaluated in each US image of the wrist, forearm, elbow, and mid-arm. Radiomic analysis was performed on these US images. All radiomic features were examined using receiver operating characteristic analysis. Optimal features were selected using a three-step feature selection method and were inputted into XGBoost to build predictive machine-learning models. Results The CSAs were more enlarged in patients with CIDP than in those with POEMS syndrome without significant differences, except for that of the ulnar nerve at the wrist. Nerve echogenicity was significantly more heterogeneous in patients with CIDP than in those with POEMS syndrome. The radiomic analysis yielded four features with the highest area under the curve (AUC) value of 0.83. The machine-learning model showed an AUC of 0.90. Conclusion US-based radiomic analysis has high AUC values in differentiating POEM syndrome from CIDP. Machine-learning algorithms further improved the discriminative ability.

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Proposal for standardized ultrasound analysis of the salivary glands: Part 1 submandibular gland

Hoffman,

Koch,

Witt

et al. 2024

Laryngoscope Investig Oto

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ObjectivesThe Salivary Gland Committee of the American Academy of Otolaryngology‐Head and Neck Surgery seeks to standardize terminology and technique for ultrasonograpy used in the evaluation and treatment of salivary gland disorders.MethodsDevelopment of expert opinion obtained through interaction with international practitioners representing multiple specialties. This committee work includes a comprehensive literature review with presentation of case examples to propose a standardized protocol for the language used in ultrasound salivary gland assessment.ResultsA multiple segment proposal is initiated with this focus on the submandibular gland. We provide a concise rationale for recommended descriptive language highlighted by a more extensive supplement that includes an extensive literature review with additional case examples.ConclusionRecommendations are provided to improve consistency both in performing and reporting submandibular gland ultrasound.

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Ultrasound-based radiomics: current status, challenges and future opportunities

Cited by 12 publications

References 88 publications

Systematic review of the radiomics quality score applications: an EuSoMII Radiomics Auditing Group Initiative

Systematic review of the radiomics quality score applications: an EuSoMII Radiomics Auditing Group Initiative

Ultrasound-based radiomic analysis of the peripheral nerves for differentiation between CIDP and POEMS syndrome

Proposal for standardized ultrasound analysis of the salivary glands: Part 1 submandibular gland

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