Ontology-Based Approach for Liver Cancer Diagnosis and Treatment

Messaoudi, Rim; Jaziri, Faouzi; Mtibaa, Achraf; Grand-Brochier, Manuel; Ali, Hawa M.; Amouri, A.; Fourati, H.; Chabrot, P.; Gargouri, Faïez; Vacavant, Antoine

doi:10.1007/s10278-018-0115-6

Cited by 17 publications

(10 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Then, we choose nine accessible ontologies that deal with liver cancer representation. These ontologies are Hepatitis Ontology [26], LiCO [29], ONLIRA [10], LIO [23], Web-based liver cancer ontology [18], OBR Viral Hepatitis [19], DILIO [33], Liver Cancer ontology [18], HuLDO [32], OntHCC [9] and MROnt [36]. After that, we eliminate HuLDO [32] ontology from the comparative study because we did not find a clear representation of its conceptual architecture.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Ontologies for Liver Diseases Representation: A Systematic Literature Review

et al. 2019

Self Cite

View full text Add to dashboard Cite

Ontology, as a useful knowledge engineering technique, has been widely used for reducing ambiguity and helping with information sharing. It is considered originally to be clear, comprehensive and with welldefined format. It characterizes several domains purposes description through structured and formalized languages. In various areas of research, it has become a significant way to realize successful and powerful accomplishments. Actually, medical ontologies were turned into an efficient application in medical domains. They also become a relevant approach to process large medical data volumes. Consequently, they are behaving as a support decision system in some cases. Also, they ensure diagnosis process acceleration and assistance. Additionally, they have been integrated especially to represent human healthcare concepts. For that reason, plenty of research works applied ontologies to design and treat liver diseases. In this article, we present a general overview of medical ontologies to stand for this type of disease. We expose and discuss these works in details by a complete comparison. Also, we show their performance to arrange clinical data and extract results.

show abstract

Section: Discussionmentioning

confidence: 99%

“…The assessment has been conducted with 3D brain MRI images. Furthermore, [9] proposed an ontological model OntHCC for liver cancer representation. This model focuses especially on HCC detection from the medical image, HCC classification through a staging system and HCC treatment.…”

Section: Mri Interpretationmentioning

confidence: 99%

Ontologies for Liver Diseases Representation: A Systematic Literature Review

et al. 2019

Self Cite

View full text Add to dashboard Cite

show abstract

“…Liver cancer, otherwise known as primary hepatic cancer or hepatocellular carcinoma (HCC), is considered one of the most prevalent and deadliest types of cancer universally, causing deaths with a significant percentage of humans annually. 6,99,100 In 2018, according to World Health Organization (WHO), liver cancer reportedly claimed about 782 000 human lives worldwide. It has greater predominance in males than in females, as well as high regional (Western and Middle Africa, Southeast and East Asia), and low regional (Eastern and Northern Europe, Western and South-Central Asia) incidence rates.…”

Section: Bbr and Liver Cancermentioning

confidence: 99%

Effects of Berberine on Liver Cancer

Liu

Nwafor

Wang

et al. 2022

Natural Product Communications

View full text Add to dashboard Cite

Liver cancer, otherwise known as hepatocellular carcinoma, is a chronic disease condition with an excessive deposition and growth of malignant cells in the body. The high incidence and prevalence rates of liver cancer continue to be problems, as well as its poor prognosis and therapeutic limitations involving severe drug adverse reactions linked to the use of synthetic chemotherapeutic compounds. Continuous experimental studies, as well as utilization of pure herbal-based compounds, are essential towards finding more potent cures for liver cancer. Natural bioactive compounds, particularly alkaloids (eg, berberine), have been shown to be highly beneficial in the treatment of various diseases. Berberine (BBR), an isoquinoline alkaloid, is obtained from stem, bark, roots, rhizomes, and leaves of several medicinal plants, including Berberis species. It is commonly synthesized from the benzyltetrahydroisoquinoline system with the incorporation of an additional carbon atom as a bridge. The multiple attributes of BBR involving effective inhibitory and cytotoxic actions against the proliferation of cancer cells have been demonstrated. The use of BBR in experimental studies (in vivo and in vitro) for over a decade for liver cancer treatment has proven to be highly effective, safe, and potent. Until now, the poor solubility of BBR remains one of the contributing factors leading to its minimal clinical bioavailability. Therefore, BBR could serve as a prospective drug candidate in the future towards drug formulation for liver cancer treatment. The relevant information regarding this review was obtained electronically through the use of databases such as PubMed, Google Scholar, Springer, Hindawi, Embase, Web of Science, and China National Knowledge Infrastructure. All the aforementioned databases were searched from 1981 to 2020. This literature represents an update of previous review papers discussing the various positive pharmacological and mechanistic effects (oxidative stress regulation, inflammation reduction, apoptosis activation, overcoming drug resistance, and metastasis inhibition) of BBR for liver cancer treatment, which would be of great significance to drug development and clinical research.

show abstract

“…To the best of our knowledge, no effort has been put into the relationship to BC oncology. In general, the research effort has been directed to the construction of medical ontologies [6,7], as well as the translation of many existing thesauri, terminologies, and classifications into the ontology web language (OWL) [8,9]. Beyond the construction of ontologies, some works aimed to exploit the potential of the semantic web in medical and clinical applications: for example, computerized patient records [10] or knowledge management in clinical processes [11].…”

Section: Related Workmentioning

confidence: 99%

Prediction of Bladder Cancer Treatment Side Effects Using an Ontology-Based Reasoning for Enhanced Patient Health Safety

2021

View full text Add to dashboard Cite

Predicting potential cancer treatment side effects at time of prescription could decrease potential health risks and achieve better patient satisfaction. This paper presents a new approach, founded on evidence-based medical knowledge, using as much information and proof as possible to help a computer program to predict bladder cancer treatment side effects and support the oncologist’s decision. This will help in deciding treatment options for patients with bladder malignancies. Bladder cancer knowledge is complex and requires simplification before any attempt to represent it in a formal or computerized manner. In this work we rely on the capabilities of OWL ontologies to seamlessly capture and conceptualize the required knowledge about this type of cancer and the underlying patient treatment process. Our ontology allows case-based reasoning to effectively predict treatment side effects for a given set of contextual information related to a specific medical case. The ontology is enriched with proofs and evidence collected from online biomedical research databases using “web crawlers”. We have exclusively designed the crawler algorithm to search for the required knowledge based on a set of specified keywords. Results from the study presented 80.3% of real reported bladder cancer treatment side-effects prediction and were close to really occurring adverse events recorded within the collected test samples when applying the approach. Evidence-based medicine combined with semantic knowledge-based models is prominent in generating predictions related to possible health concerns. The integration of a diversity of knowledge and evidence into one single integrated knowledge-base could dramatically enhance the process of predicting treatment risks and side effects applied to bladder cancer oncotherapy.

show abstract

Ontology-Based Approach for Liver Cancer Diagnosis and Treatment

Cited by 17 publications

References 36 publications

Ontologies for Liver Diseases Representation: A Systematic Literature Review

Ontologies for Liver Diseases Representation: A Systematic Literature Review

Effects of Berberine on Liver Cancer

Prediction of Bladder Cancer Treatment Side Effects Using an Ontology-Based Reasoning for Enhanced Patient Health Safety

Contact Info

Product

Resources

About