12 Clinical Trials for Various Conditions
This is a pragmatic clinical trial that will study the effect of a radiomics-based computer-aided diagnosis (CAD) tool on clinicians' management of pulmonary nodules (PNs) compared to usual care. Adults aged 35-89 years with 8-30mm PNs evaluated at Penn Medicine PN clinics will undergo 1:1 randomization to one of two groups, defined by the PN malignancy risk stratification strategy used by evaluating clinicians: 1) usual care or 2) usual care + use of a radiomics-based CAD tool.
The study is one part of a "bundle" of experiments that constitute Project Three of a National Eye Institute grant. Project Three includes a series of experiments that investigate how changing the input from a simulated AI can affect the decisions made by human observers in a two-alternative forced choice task (like the decision to recall a woman for further examination in mammography). HAICT 7, the experiment described here, investigates how changing prevalence affects human performance when AI is used as a Second Reader.
The purpose of this study is to evaluate the sensitivity of computed tomographic colonography (CTC) in detecting colorectal polyps and cancers in 1,500 subjects at increased risk of colorectal cancer (CRC), using optical colonoscopy as the reference standard.
Background: Radiologic images are getting more complex. They are also being used more often. Medical personnel are overwhelmed with data. Computer Aided Detection (CAD) and diagnosis may be able to improve medical care. Researchers want to create and test ways to use CAD. To do this, they want to use data from the Clinical Center s Department of Diagnostic Radiology. Objective: To create algorithms and software that accurately detect and characterize lesions, model anatomy, and monitor diseases on radiologic studies. Eligibility: People of all ages who have radiologic exams stored in the clinical PACS (picture archiving system) of the Clinical Center since July 6, 1953 with no end date. People with target lesions of any kind will be included. Design: This study will use existing data. Participants will include males and females of all ages. They will be chosen by keyword search on NIH databases. The data that is used may include CT, MRI, ultrasound, and other images. It may include a participant s name, date of birth, and date of exam. It may include the name of the doctor, radiologist, and hospital. Data such as age, gender, race, disease, and treatment may be used. Other data from charts or studies may be used. Imaging data of all organs of the body will be studied. Data will be kept in computers and servers. The equipment will be password protected. Printouts will be stored in locked rooms. This study will last 10 years.
The purpose of this study is to develop computer programs to assist radiologists in finding breast cancer on mammograms and to compare the computer's accuracy of detecting cancers on direct digital and film mammograms.
This study will develop and evaluate new techniques for computer-aided detection and diagnosis (CAD) of medical problems using images from diagnostic tests such as computed tomography (CT), ultrasound, nuclear medicine and x-ray images. The Food and Drug Administration has approved CAD techniques for detecting masses and calcifications on mammography and lung nodules using chest x-rays. Many other applications of CAD would potentially benefit patients. This study will explore additional uses of CAD. The study will use imaging data, demographic information, and other medical information from the medical charts of Clinical Center patients to test and evaluate new CAD applications. Such applications include detection of subcutaneous (under the skin) lesions in melanoma patients, bone lesions in patients with advanced cancer, and pulmonary emboli (blood clot lodged in a lung artery) in patients who are known to have pulmonary emboli, and other uses.
The purpose of this project is to examine the role of machine learning and computer aided diagnostics in automatic polyp detection and to determine in real-time how a computer-aided detection (CADe) algorithm will perform when compared to standard screening or surveillance colonoscopy alone. Design will be a multi-center, prospective, unblinded randomized tandem colonoscopy study. 196 patients referred for either screening or surveillance colonoscopy will be included.
A standard part of obstetrical care is offering prenatal genetic screening. Numerous professional guidelines have emphasized the importance of pretest counseling for prenatal genetic screenings. Informed consent includes the optional nature of the test, information on the conditions being screened, possible test results, implication of each result, and the type of test offered (screening or diagnostic). This responsibility falls on the physician in a busy clinic. Technology may be able to address this limitation and give consistent pretest counseling for patients waiting for their appointment. This study is looking to evaluate the use of computer-aided genetics education module for facilitating decision making about prenatal genetic screening and testing for fetal chromosome conditions and carrier status.
The investigators use MRI and/or CT to evaluate the extent, as well as, the structure, composition, and functional aspects of atherosclerotic plaques in human carotid and femoral arteries in patients scheduled to undergo an endarterectomy of the aforementioned vascular beds as part of their routine clinical care.
This is a randomized clinical trial assessing the efficacy of two types of counseling (Computer-Assisted Motivational Intervention \[CAMI\] versus Didactic Educational Counseling \[DEC\]) to see which can better reduce female adolescents' risk taking behaviors that put them at risk for unintended pregnancy and sexually transmitted diseases (STDs). The intervention phase consists of three 30-minute counseling sessions over the first 6 months followed by a visit every three months during the 12 month follow up phase. We, the researchers, hypothesize that the CAMI will decrease the proportion of subjects who engage in any intercourse that is poorly protected against pregnancy and against STDs.
This study will compare two tests for attention deficit disorder (ADD) - the Test of Variables of Attention (TOVA) and the NIH Test of Attention - to see if they produce the same results. There are a number of problems with existing tests for ADD. For example, TOVA, the most commonly used test, operates only on older computers and has other problems as well. Because of these problems, NIDCD developed the new NIH Test of Attention. This study will determine if the new test is valid for ADD and how the performance on this test compares to the performance on the TOVA in the general population. Healthy volunteers between 6 and 60 years of age who have no problems with sight or hearing and are not taking medication for ADD may be eligible for this study. After a brief interview, participants take the first of the two study tests. On a second visit, they take the other of the two tests. Both tests ask the subject to respond to things they hear and see on a computer screen. Each test takes 30 to 45 minutes to complete. Some participants are asked to take the NIH Test of Attention a second time, on a third visit. Participants also take a 15- to 20-minute subtest of the Weschler Intelligence Test.
The purpose of this study is to determine whether patient-specific computer-aided design (CAD) and three-dimensional (3D) printing can be utilized to produce personalized, effective continuous positive airway pressure (CPAP) masks for children with severe obstructive sleep apnea (OSA) and craniofacial anomalies who encounter significant difficulty using CPAP because of poorly fitting masks despite exhausting available commercial mask options.