Active clinical trials for "Neoplasms"

The primary objective of this study is to evaluate invasive fungal infections (IFI) according to clinicians' opinion vs the opinion of an independent board of experts. The primary output of this study is the evaluation of inter-raters agreement. Secondary objectives are: evaluation of IFI incidence; description of clinical and laboratory features; frequencies of different antifungal treatments; description of outcome; impact on the treatment of underlying hematological malignancy. This is a multicenter, non-interventional observational, prospective study. The duration of the study will be 18 months. The study will recruit all consecutive eligible patients in each participating center, during a period of 6 months until at least 600 patients with acute myeloid leukemia are registered, that represented the highest risk category. Other disease types that fulfill the eligibility criteria in the participating centers during the same period will also be recruited in the study. The clinical, microbiological, diagnostic and therapeutic procedures operated on these patients will be collected. An eCRF will be compiled for all patients: T0: at the start of antifungal treatment, information will be collected regarding hematological malignancy, status of the disease at onset of infection and phase of treatment, last chemotherapy regimen, comorbidities and risk factors; previous IFI, neutropenia, antifungal and antibiotic prophylaxis and the kind of IFI clinicians retain the patient suffer (possible/probable/proven) and the kind of antifungal treatment started (empiric/pre-emptive/target); diagnostic work-up done, positive microbiology and biomarkers, positive radiological findings; antifungal treatment. T1: at 30-40 days (or before if the patient unfortunately died) a second form must be completed with information regarding any changes in/additional diagnostic work-up done, positive microbiology and biomarkers, positive radiological findings; any changes in antifungal treatment; outcome. At that time, the local physician must state any revision of his diagnostic classification between the moment in which antifungal treatment was started and the moment of evaluation of the outcome in order to estimate the differences regarding the level of evidence of diagnosis and treatment of IFI during time. Each case will be examined blinded by 2 different experts, who will review all records based on the existing guidelines, their own experience and the information that was known at the two time points, which may confirm or not the decision of local physician. The sample size will be driven by the AML patients (approximately 60-70% of the patients). Sample will be described in its clinical and demographic features via descriptive statistics. Quantitative variables will be summarized with the following measures: minimum, maximum, range, mean and standard deviation. Qualitative variables will be represented by frequencies tables.

With 50% of post-operative biochemical failure, efficient predictive models are needed to guide post-operative management. Radiomic features are quantitative features extracted from medical imaging, supposed to be correlated with tumor heterogeneity. We aim to build and test three predictive models (clinical, radiomic and combined models).

The purpose of this study is to evaluate an interactive game designed to increase people's ability to identify cancerous moles.

Background: Residual masses on follow-up surveillance imaging are frequently detected in paediatric patients with Hodgkin's lymphoma and non-Hodgkin's lymphoma. The residual mass may consist of inflammatory, fibrous or necrotic tissue, or it could represent residual tumor. In most cases, positron emission tomography (PET) with 2-[fluorine-18]-fluoro-2-deoxy-D-glucose (FDG) is useful for distinguishing tumor from fibrosis. However, FDG is not tumor-specific, and increased accumulation of the tracer may be seen in a variety of benign entities which can give rise to false-positive or equivocal FDG PET findings. Alternatively, the uptake of 3'-deoxy-3'-[fluorine-18]-fluorothymidine (FLT) reflects cellular proliferation, and may prove to be a reliable method in resolving equivocal FDG PET findings. Indeed, several studies have demonstrated that FLT can be safely administered to children, and in some cases be more useful than FDG PET in differentiating between infection or inflammation and malignancy. This study hypothesizes that FLT PET can be used as an adjunct imaging modality in paediatric lymphoma patients with equivocal interim or post-therapy FDG PET findings, and that this technique can provide additional diagnostic information which will be useful in distinguishing fibrotic or necrotic residual mass lesions from those that may be harbouring malignancy.

Determinate the level of vitamin D in blood, and evaluate the prevalence of deficit and insufficiency among patients with diagnosis of uterine fibroids

Colonoscopy is clinically used as the gold standard for detection of colon cancer (CRC) and removal of adenomatous polyps. Despite the success of colonoscopy in reducing cancer-related deaths, there exists a disappointing level of adenomas missed at colonoscopy. "Back-to-back" colonoscopies have indicated significant miss rates of 27% for small adenomas (< 5 mm) and 6% for adenomas of more than 10 mm in diameter. Studies performing both CT colonography and colonoscopy estimate that the colonoscopy miss rate for polyps over 10 mm in size may be as high as 12%. The clinical importance of missed lesions should be emphasized because these lesions may ultimately progress to CRC8. Limitations in human visual perception and other human biases such as fatigue, distraction, level of alertness during examination increases such recognition errors and way of mitigating them may be the key to improve polyp detection and further reduction in mortality from CRC. In the past years, a number of CAD systems for detection of polyps from endoscopy images have been described. However, the benefits of traditional CAD technologies in colonoscopy appear to be contradictory, therefore they should be improved to be ultimately considered useful. Recent advances in artificial intelligence (AI), deep learning (DL), and computer vision have shown potential to assist polyp detection during colonoscopy.

The aim of this study is to detect bone metastases by PET/CT examination in cancer patients.

The aim of the study is to assess accurancy of OCT angiography as a pronostic marker for patients undergoing neurosurgery for compressiver macroadenoma as compared with visual acuity, visual field and OCT.

In 2007, The World Health Assembly (WHA) adopted a resolution to prevent oral cancer. The resolution urged the member states to ensure that measures against oral cancer was integrated into a national cancer control program by engaging and train dental personnel in screening, early diagnosis and treatment. Oral cancer is a severe oral health issue as it is potentially fatal and is the 5-6 most common tumor with approximately 275,000 cases for oral and 130,300 cases for pharyngeal cancers, excluding nasopharynx, globally. In Sweden,1000 new cases yearly is discovered and it is increasing. The explanation is an aging population and an increase in tonsil and tongue cancers caused by HPV, especially in younger subjects. This is due to changing sexual habits. Tumors caused by tobacco and alcohol are constant. Despite the decreasing prevalence of smoking and certain smoking-associated cancers, an increased incidence of tonsillar cancer has been seen in both Finland and Sweden. High risk HPV (hrHPV) oral cancer is also increasing.

Febrile neutropenic patients are at high risk for developing sepsis and other infections which often necessitates acute admission to the Intensive Care Unit (ICU) and are associated with high mortality. Neutropenic fever is a medical emergency and early detection of fever allows for prompt infectious work up. In this study, the investigators will collect pilot data from outpatients utilizing a remote outpatient continuous temperature monitoring device to compare the incidence of ICU admission and severe sepsis to historical data for prior patients who did not receive at home monitoring device.