ABSTRACT
OBJECTIVES: Radiomics is the high-throughput extraction of mineable and-possibly-reproducible quantitative imaging features from medical imaging. The aim of this work is to perform an unbiased bibliometric analysis on Radiomics 10 years after the first work became available, to highlight its status, pitfalls, and growing interest. METHODS: Scopus database was used to investigate all the available English manuscripts about Radiomics. R Bibliometrix package was used for data analysis: a cumulative analysis of document categories, authors affiliations, country scientific collaborations, institution collaboration networks, keyword analysis, comprehensive of co-occurrence network, thematic map analysis, and 2021 sub-analysis of trend topics was performed. RESULTS: A total of 5623 articles and 16,833 authors from 908 different sources have been identified. The first available document was published in March 2012, while the most recent included was released on the 31st of December 2021. China and USA were the most productive countries. Co-occurrence network analysis identified five words clusters based on top 50 authors' keywords: Radiomics, computed tomography, radiogenomics, deep learning, tomography. Trend topics analysis for 2021 showed an increased interest in artificial intelligence (n = 286), nomogram (n = 166), hepatocellular carcinoma (n = 125), COVID-19 (n = 63), and X-ray computed (n = 60). CONCLUSIONS: Our work demonstrates the importance of bibliometrics in aggregating information that otherwise would not be available in a granular analysis, detecting unknown patterns in Radiomics publications, while highlighting potential developments to ensure knowledge dissemination in the field and its future real-life applications in the clinical practice. CLINICAL RELEVANCE STATEMENT: This work aims to shed light on the state of the art in radiomics, which offers numerous tangible and intangible benefits, and to encourage its integration in the contemporary clinical practice for more precise imaging analysis. KEY POINTS: ⢠ML-based bibliometric analysis is fundamental to detect unknown pattern of data in Radiomics publications. ⢠A raising interest in the field, the most relevant collaborations, keywords co-occurrence network, and trending topics have been investigated. ⢠Some pitfalls still exist, including the scarce standardization and the relative lack of homogeneity across studies.
ABSTRACT
In COVID-19 pandemic, cancer patients may be vulnerable for their immunological status and need of immunosuppressive anti-neoplastic treatments. Choosing the best treatment option in COVID-19 positive cancer patients is still a challenging issue. We report the case of a 62-year-old woman diagnosed with multiple myeloma and affected by COVID-19. After the diagnosis of multiple myeloma in January 2019, the patient underwent first line therapy followed by bone marrow autologous stem cell transplantation, achieving a complete response in September 2019. In March 2020, the patient showed intrathoracic progression of the disease, resulting in a severe dysphagia and concomitant positivity to SARS-CoV-2 swab test, cough, fever, and dyspnea related to the involvement of the lung parenchyma as shown by CT-scan. After her admittance to a COVID-19 dedicated inward, she was administered oral hydroxychloroquine and darunavir-cobicistat for 7 days with stabilization of her general clinical conditions. For the worsening of dysphagia, after multidisciplinary discussion, it was decided to deliver radiotherapy to the mediastinal and paravertebral mass with 8 Gy single fraction. After 5 days, her clinical conditions improved, with reduction of dysphagia. The CT confirmed a partial response with reduction of the mass of about 50%. Viral clearance was confirmed by triple negative search for SARS-CoV-2 on nasopharyngeal swabs, one month after first documentation of positivity. Unfortunately, the patient died three months later due to a pulmonary mycotic infection causing respiratory failure. To our knowledge, this case report describes the first experience of mediastinal radiotherapy in a COVID-19 patient affected by myeloma reported in the literature. In case of clinical indication, even in presence of SARS-CoV-2 infection, radiotherapy can be safely delivered and might be considered a treatment option as shown by our experience in this challenging case of intrathoracic myeloma.
ABSTRACT
Starting from Wuhan, China, SARS-CoV-2 has been a catastrophic epidemic involving many countries worldwide. After China, Italy has been heavily affected, and severe measures to limit the spread of the virus have been taken in the last weeks. Radiation oncology departments must guarantee optimal cancer treatments even in such a challenging scenario of an ongoing aggressive epidemic. Adopted preventive measures and recommendations are highlighted for patients, professionals, and clinical operations to minimize the risk of infection while safely treating patients with cancer.
ABSTRACT
Starting from Wuhan, China, SARS-CoV-2 has been a catastrophic epidemic involving many countries worldwide. After China, Italy has been heavily affected, and severe measures to limit the spread of the virus have been taken in the last weeks. Radiation oncology departments must guarantee optimal cancer treatments even in such a challenging scenario of an ongoing aggressive epidemic. Adopted preventive measures and recommendations are highlighted for patients, professionals, and clinical operations to minimize the risk of infection while safely treating patients with cancer.