Neoplasms

All Conditions

Carcinoma

All patients are undergoing radiotherapy in Tata Medical Center

In this pilot project Investigators propose to create annotated image data bank of patients suffering from cancer. The system will provide India's first comprehensive platform to upload annotated images with associated medical and demographic information of a patient. It will support flexible query from the users with appropriate choice from a set of attributes and design of various query filters using a GUI. Over the proposed period of 18 months, images and records related to radiation oncology including pretreatment images of at least 500 patients would be annotated and archived in the data bank. The imaging modalities to be covered are X-RAY mammograms, SPECT, CT, CBCT, MR, PET-CT, Ultrasound, digital histopathology, etc. In this phase, this study will include data sets of five types of cancers namely, breast, head and neck, brain, cervix and lung cancer.

Investigator propose to demonstrate the application of this data set in cancer research. Investigator will work on serial PET-CT based radiomics of breast and cervix cancer patients to extract appropriate features and correlate them with clinico-pathological variants.

Comprehensive Digital Archive of Cancer Imaging-Radiation Oncology( CHAVI-RO )

Count of patients with complete radiological, pathological and demographic information in the CHAVI RO database.

Tata Medical Center

Diseases and Abnormalities at or Before Birth

Nervous System Diseases

Heart and Blood Diseases

Congenital Abnormalities

Hydrocephalus

Brain Neoplasms

Arteriovenous Malformations

Central Nervous System Neoplasms

Nervous System Neoplasms

Brain Diseases

Central Nervous System Diseases

Vascular Malformations

Cardiovascular Abnormalities

Vascular Diseases

Patients with a brain tumour/AVM scheduled for maximum safe resection via craniotomy.

Participants fulfilling all of the following inclusion criteria are eligible for the study:

* Consent of the patient
* Age: ≥18
* Fluent language skills in German
* Patient is capable to use a smartphone (based on the Google Android system) and uses a smartphone since at least 3 months
* Preoperative smartphone-assessed day-to-day behaviour can be recorded for at least 1 week (7 days)

Patients with hydrocephalus scheduled for VP-shunting

Participants fulfilling all of the following inclusion criteria are eligible for the study:

* Consent of the patient
* Age: ≥18
* Fluent language skills in German
* Patient is capable to use a smartphone (based on the Google Android system) and uses a smartphone since at least 3 months
* Preoperative smartphone-assessed day-to-day behaviour can be recorded for at least 1 week (7 days)

There is no study-specific intervention

Martin N Stienen, MD, FEBNS

Luca Regli, MD

Kevin Akeret, MD

Flavio Vasella, MD

Olivia Geisseler, PhD

Noemi Dannecker, MSc

Peter Brugger, PhD

Oliver Bozinov, MD

Niklaus Krayenbühl, MD

Lennart Stieglitz, MD

Arko Ghosh, PhD

This study will thus examine daily behaviour based on smartphone use and link it to the neurological and neuropsychological status as well as to neuroradiological studies that are part of the clinical routine. The study will examine behaviour changes before and after surgery, and how this change in measured behaviour with the smartphone relates to today's "gold standard", namely professional neuropsychological examination and quantification of brain damage on imaging studies (MRI).

This study is a proof-of-principle study that intends to build the basis for larger future observational studies on patients with focal or diffuse brain pathologies.

Pathologies of the central nervous system (CNS), as well as their surgical treatment, may interfere with the physiological and behavioural functions of the human brain. Commonly, before and after surgical treatment, the neurosurgeon examines the patient carefully for neurological deficits and additionally asks neuropsychologists to evaluate higher cognitive functions. These examinations, however, only represent the situation at a given point in time, and currently longitudinal or continuous evaluation of physiological and behavioural functions of the human brain is highly limited. Furthermore, in the conventional examinations the complex human behaviour is reduced to very simplified scores (e.g. the NIHSS for neurological or MoCA for neuropsychological functioning). Fluctuations in physiological and behavioural functions are very likely, but are unlikely to be captured with current evaluations at single (discrete) pre- and postoperative points in time. To date, "on-line" continuous evaluation of brain function in patients undergoing (potentially risky) neurosurgical procedures has not been established.

The touchscreen interface of smartphones offers a fresh avenue to capture day-to-day behaviour (engagement of finger tips) by exploiting the technology intrinsic to a smartphone. For instance, the speed of touchscreen use, the distinct behavioural contexts (compartmentalised into Apps) and the corresponding habits can be seamlessly and non-obtrusively captured. More importantly, compared with current discrete approaches of evaluation, this continuous approach can account for - and even exploit - the natural fluctuations in brain functions.

Nevertheless, behavioural data from touchscreens is new to scientific exploration and various fundamental questions remain to be answered, such as what are the basic statistical features of smartphone behaviour, how does this behaviour vary from one day to another, and how does this behaviour reflect basic demographic information? This gap in our understanding of smartphone behavioural data also implies that the exact statistical methods to be employed may need to undergo adjustments. For instance, the common central tendency measure of the sample mean may be highly unstable if the parameter/s occupy a power-law distribution rather than a Poisson or Gaussian distribution. In summary, ever-new exploration of the neuroscience of touchscreen behaviour must trigger the right choice of analytical and statistical methods.

The focus of this study is laid on patients with pathologies of the CNS. The investigators aim to examine both patients with diffuse and focal pathologies. In order to study diffuse pathologies, the investigators will include patients with hydrocephalus. In order to study focal pathologies, the investigators will include patients with brain tumours or arteriovenous malformations (AVMs) - which are localised and described using clinical neuroimaging. Patients will be examined before and after a neurosurgical procedure.

At the "UniversitätsSpital Zürich", both patients with hydrocephalus that are scheduled for ventriculo-peritoneal (VP)-shunting and patients with brain tumours/AVMs that are scheduled for microsurgical resection routinely undergo a neurosurgical, neuropsychological and neuroradiological examination (by MRI) preoperatively and at 3 months postoperative (for clinical purpose). Patients that agree to participate in this study will install a free App (programmed by the University of Zurich (UZH) spin-off QuantActions and freely available on the Google Play store) on their smartphone that records their day-to-day physiological and behavioural status associated with use of the hand (smartphone touchscreen). The study will examine behaviour changes before and after surgery, and how this change in measured behaviour with the smartphone relates to the neuropsychological examination and quantification of brain damage on imaging studies (MRI).

Linking Digital Smartphone Behaviour With Brain Function

Linking Day-to-day Digital Behaviour Captured on the Smartphone With Brain Function in Patients Undergoing Brain Surgery - the "Smart Surgery" Study

For each individual patient, the secondary endpoints before and after surgery will be compared (in-subject differences) and related to the patterns of smartphone-assessed day-to-day behaviour.

In general, patients with brain tumours and patients with hydrocephalus are analysed separately.

As this study is a proof-of-concept study, no formal sample size calculation is performed.

For the primary endpoint, the patterns of smartphone-assessed day-to-day behaviour in the time period before the operation (day -7 until day 0) will be graphically illustrated and compared for obvious differences to the behaviour in the first postoperative week (+7 days) and in the week before the postoperative consultation at three months after the operation. Towards this we shall employ exhaustive statistical and numerical methods that are typical of complex systems research. This includes comparing the patterns in defined parameter space, clustering of patterns dependent on the diseased state and defining new parameter spaces where the data conforms to the working hypothesis.

For the secondary endpoints, several scores have to be correlated to the complex data generated. Towards this we shall deploy large-scale multivariate approaches that span various time scales - from ms to hours, and that are conducted using sweeping windows across the entire period recording. By using statistical clustering methods, we shall correct for multiple comparison when inferring our data.

University of Zurich

Skin and Connective Tissue Diseases

Breast Neoplasms

Breast Diseases

Skin Diseases

Patients treated for a breast cancer between 2000 and 2016 in the Hospital of Strasbourg (France).

Ten thousand medical records (between years 2000 and 2016) will be analyzed

retrospective medical records analyze

Anne Laudamy

anatta Razafimanantsoa

Carole Mathelin, MD

Karl Neuberger

Primary purpose :

To develop a method to automatically extract and structure the information included in numerous medical records from breast cancer patients.

Secondary purpose :

With this procedure we can analyze the content of ten thousand anonymized textual medical records.

This information should enable us to explore many subjects, such as:

* The impact of certain therapeutic procedures
* The characteristics of sub-groups of patients
* Pregnancy associated breast cancers
* Risk factors

Big Data and Text-mining Technologies Applied for Breast Cancer Medical Data Analysis

SENOMETRY : Big Data and Text-mining Technologies Applied for Breast Cancer Medical Data Analysis

Study of the recurrence rate of different subgroups of patients where various procedures were performed

Quantmetry

University Hospital, Strasbourg, France

Symptoms and General Pathology

Rare Diseases

Chronic Disease

Neurodegenerative Diseases

Chronic Graft Versus Host Disease

licia Iacoviello, MD, PhD

This project aims to create a digital platform for personal, clinical, diagnostic and environmental data collection, management and analysis of patients with cardiovascular and neurological disease or cancer admitted to the Neuromed Group clinics, associated with a biobanks of biological fluids and human tissues and a biotechnological platform for "omics" analysis, to encourage personalized, preventative and predictive care.

There is a need for a change of vision in health care that could become a key innovation point for digital medicine in the future, a sort of Copernican revolution: the starting point is no longer the disease, but the patient around whom pathologies and risk factors rotate, not as distinct and uniquely defined entities, but as communicating and interconnected possibilities that define their form only in relation to the individual, his genome, his personality, his habits of life and the environment in which he lives. From these interactions, a personalized, dynamic, integrated, and continuous diagnostic and therapeutic pathway is created that accompanies the person not only in the stage of the disease but also in the previous and subsequent phases, becoming a way of life oriented towards the health of the person rather than a way to cure a disease.

An Integrated Health Life Platform enables you to develop an interactive healthcare health model among all actors who manage the health of the person, healthcare professionals in the area, and hospitals, caregivers, and community through the integration of remote monitoring of data with A virtual community.

The platform is thought not as a pure aggregation of data, but as a digital hub centered on the patient, with his (clinical and personal) data, but also the environment in which he lives, his behaviors, accessibility to services and The relationships that come to them and from them. The platform aims to effectively integrate self management, personalization of the path, and co-production of health, demonstrating that these three key dimensions of care are mutually reinforcing.

The residual portion of biological withdrawals and materials normally used for the patient's therapeutic diagnostic route ( blood, urine, any fragments of biopsy tissue, surgical finds, umbilical cord, placenta sections, cephalorachidian fluid etc). In order to carry out any genetic-molecular investigations, DNA and DNA from these biological fluids and tissues will be extracted.

Neuromed- Integrated Health Life Platform and Biobank

submission of a research proposal form to be approved by the Moli-sani scientific committee and signature of a research agreement.

A repository of biological samples, "Neurobiobank", from patients who will join the project, will be organised at the biotechnology park of Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Neuromed of Pozzilli under the responsibility of the experienced staff at the Department of Epidemiology and Prevention.

Analytical tools will be developped for integrating structured and unstructured patients data sets and derive actionable information from their observed interrelationships.

Measure of genomic, epigenetic and proteomic fingerprint of recruited patients

Identification of patterns within the health data that correlate with disease or wellness and create personalised pathway of prevention and care.

Study title	NCT ID	Conditions	Interventions	Eligibility	Organization
Comprehensive Digital Archive of Cancer Imaging-Radiation Oncology( CHAVI-RO )	NCT04249895	All Cancer		-	Tata Medical Center
Comprehensive Digital Archive of Cancer Imaging-Radiation Oncology( CHAVI-RO )	NCT04249895	All Cancer		-	Tata Medical Center
Linking Digital Smartphone Behaviour With Brain Function	NCT03516162	Brain Tumor Hydrocephalus Arteriovenous M...	There is no stu...	18 Years -	University of Zurich
Big Data and Text-mining Technologies Applied for Breast Cancer Medical Data Analysis	NCT02810093	Breast Cancer	retrospective m...	18 Years -	University Hospital, Strasbourg, France
Neuromed- Integrated Health Life Platform and Biobank	NCT03279991	Cardiovascular ... Neuro-Degenerat... Cancer Pregnancy		19 Years -	Neuromed IRCCS
Linking Digital Smartphone Behaviour With Brain Function	NCT03516162	Brain Tumor Hydrocephalus Arteriovenous M...	There is no stu...	18 Years -	University of Zurich

Spots Global Cancer Trial Database for big data

Every month we try and update this database with for big data cancer trials from around the world to help patients and their families find trials that might be right for them.
We offer this 100% free of charge and do not endorse any of the trials listed here, we hope it helps you or a loved one.

Spots Global Cancer Trial Database for big data

Every month we try and update this database with for big data cancer trials from around the world to help patients and their families find trials that might be right for them. We offer this 100% free of charge and do not endorse any of the trials listed here, we hope it helps you or a loved one.

Every month we try and update this database with for big data cancer trials from around the world to help patients and their families find trials that might be right for them.
We offer this 100% free of charge and do not endorse any of the trials listed here, we hope it helps you or a loved one.