The high-throughput extraction of quantitative imaging features from medical images for the
purpose of radiomic analysis, ie, radiomics in a broad sense, is a rapidly developing and …

With the continuous development of medical image informatics technology, more and more
high-throughput quantitative data could be extracted from digital medical images, which has …

Aim Clinical prediction models need to be validated. In this study, we used simulation data to
compare various internal and external validation approaches to validate models. Methods …

Background: Although many works have supported the utility of PET radiomics, several
authors have raised concerns over the robustness and replicability of the results. This study …

The task of clinical interpretation of medical images starts with the scanning of the presented
image to detect the suspicious finding (“observation” in RadLex terminology (RID5) 1 which …

Radiomics is an upcoming field in nuclear oncology, both promising and technically
challenging. To summarize the already undertaken work on supradiaphragmatic neoplasia …

Head and neck tumors are the sixth most common neoplasms. Multiomics integrates
multiple dimensions of clinical, pathologic, radiological, and biological data and has the …

Background Positron emission tomography (PET) images of head and neck squamous cell
carcinoma (HNSCC) patients can assess the functional and biochemical processes at …

Simple Summary Patients with locally-advanced head and neck squamous cell carcinoma
(HNSCC) have variable responses to (chemo) radiotherapy. A reliable early prediction of …

Aims The aim of this systematic literature review was to provide updated information on
human papillomavirus (HPV) prevalence in locally and regionally advanced (LA) and …