ArticleJournal of contemporary brachytherapy2020
SKIN-COBRA (Consortium for Brachytherapy data Analysis) ontology: The first step towards interdisciplinary standardized data collection for personalized oncology in skin cancer.
Article in Journal of contemporary brachytherapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.
- TACE Versus TARE in the Treatment of Liver-Metastatic Breast Cancer: A Systematic Review.Tomography (Ann Arbor, Mich.) · 2025Pooled it
- Efficacy and safety of irreversible electroporation in unresectable perihilar cholangiocarcinoma: a systematic review and meta-analysis.The British journal of radiology · 2024Pooled it
- Article
- Post-operative interventional radiotherapy (brachytherapy) in advanced ocular surface and eyelid tumors as an alternative to surgical retreatment.European journal of ophthalmology · 2024Article
- Definitive chemoradiation in vulvar squamous cell carcinoma: outcome and toxicity from an observational multicenter Italian study on vulvar cancer (OLDLADY 1.1).La Radiologia medica · 2024Article
- The role of interventional radiotherapy (brachytherapy) in nasopharynx tumors: A systematic review.Journal of contemporary brachytherapy · 2023Review
- KIT 1 (Keep in Touch) Project-Televisits for Cancer Patients during Italian Lockdown for COVID-19 Pandemic: The Real-World Experience of Establishing a Telemedicine System.Healthcare (Basel, Switzerland) · 2023Article
- Multilayer intensity modulated contact interventional radiotherapy (brachytherapy): Stretching the therapeutic window in skin cancer.Journal of contemporary brachytherapy · 2023Article
- Integration of art and technology in personalized radiation oncology care: Experiences, evidence, and perspectives.Frontiers in public health · 2023Article
- Secondary post-oncologic vulvar reconstruction - a simplified algorithm.Frontiers in oncology · 2023Article
- Multidisciplinary ocular and periocular cancers meetings: implementation in a tertiary referral center and analysis over a 12-months period.BMC ophthalmology · 2022Article
- Art and digital technologies to support resilience during the oncological journey: The Art4ART project.Technical innovations & patient support in radiation oncology · 2022Article
- Observational multicenter Italian study on vulvar cancer adjuvant radiotherapy (OLDLADY 1.2): a cooperation among AIRO Gyn, MITO and MaNGO groups.La Radiologia medica · 2022Article
- ORIFICE (Interventional Radiotherapy for Face Aesthetic Preservation) Study: Results of Interdisciplinary Assessment of Interstitial Interventional Radiotherapy (Brachytherapy) for Periorificial Face Cancer.Journal of personalized medicine · 2022Article
- Ontologies and Knowledge Graphs in Oncology Research.Cancers · 2022Review
- Immunosuppressive treatment and radiotherapy in kidney transplant patients: A systematic review.World journal of radiology · 2022Article
- Incidence Trends and Survival Prediction of Malignant Skin Cancer: A SEER-Based Study.International journal of general medicine · 2022Article
- The role of radiation therapy technologist in interventional radiotherapy (brachytherapy) in Italy: Italian Association of Radiotherapy and Clinical Oncology (AIRO) and Italian Association of Radiation Therapy and Medical Physics Technologists (AITRO) joint project.Journal of contemporary brachytherapy · 2021Article
- Machine learning-based Radiomics analysis for differentiation degree and lymphatic node metastasis of extrahepatic cholangiocarcinoma.BMC cancer · 2021Article
- BRAF mutation correlates with worse local-regional control following radiation therapy in patients with stage III melanoma.Radiation oncology (London, England) · 2021Article
Corrections and comments
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Authors and funding
21 authors at 9 institutions in 6 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe primary objective of the SKIN-COBRA (Consortium for Brachytherapy data Analysis) ontology is to define a specific terminological system to standardize data collection for non-melanoma skin cancer patients treated with brachytherapy (BT, interventional radiotherapy). Through ontological characterization of information, it is possible to find, isolate, organize, and integrate its meaning. MATERIAL AND
methodsSKIN-COBRA is a standardized data collection consortium for non-melanoma skin patients treated with BT, including 8 cancer centers. Its ontology was firstly defined by a multicentric and multidisciplinary working group and evaluated by the consortium, followed by a multi-professional technical commission involving a mathematician, an engineer, a physician with experience in data storage, a programmer, and a software expert.
resultsTwo hundred and ninety variables were defined in 10 input forms. There are 3 levels, with each offering a specific type of analysis: 1. Registry level (epidemiology analysis); 2. Procedures level (standard oncology analysis); 3. Research level (radiomics analysis). The ontology was approved by the technical commission and consortium, and an ad-hoc software system was defined to be implemented in the SKIN-COBRA consortium.
conclusionsLarge databases are natural extension of traditional statistical approaches, a valuable and increasingly necessary tool for modern healthcare system. Future analysis of the collected multinational and multicenter data will show whether the use of the system can produce high-quality evidence to support multidisciplinary management of non-melanoma skin cancer and utilizing this information for personalized treatment decisions.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.