SNMMI: Can Ultra-Low Dose PET Supplant the Need for CT Attenuation Correction?
Ultra-low dosing with long axial field-of-view positron emission tomography (PET) scanners facilitates qualitative PET imaging at a more than 50 percent reduction of conventional radiation dosing with PET, according to new research presented at the SNMMI 2024 conference.
SNMMI: AI May Enhance Detection and Risk Assessment for Multiple Cancers on Whole-Body PET/CT Scans
Deep transfer learning may elevate the capability of whole-body PET/CT scans to diagnose multiple cancers, ranging from breast cancer and lung cancer to melanoma and prostate cancer, according to new research presented at the SNMMI conference.
Could Pluvicto Have a Role in Taxane-Naive mCRPC?: an Interview with Oliver Sartor, MD
In an interview at the SNMMI 2024 conference, Oliver Sartor, M.D. discussed key findings from new award-winning research evaluating the potential of Pluvicto in treating patients with taxane-naïve metastatic castration-resistant prostate cancer (mCRPC).
In a cohort of 85 patients with biomechanical recurrence of prostate cancer and PSA values less than 2 ng/mL, positive findings on PET imaging with PSMA-18F DCFPyL led to treatment changes in the majority of patients who had negative findings on conventional imaging, according to new research presented at the SNMMI conference.
Siemens Healthineers Announces FDA Clearance for New PET/CT System at SNMMI Meeting
Emphasizing enhanced time-of-flight performance and an energy-efficient design, the Biograph Trinion PET/CT system can reportedly be utilized for a variety of imaging needs, ranging from theranostic applications to neurology imaging.
New SNMMI President Cathy Cutler, PhD Discusses Current Challenges and Goals for Nuclear Medicine
In a recent interview, Cathy Cutler, Ph.D., shared her perspective on a number of topics affecting nuclear medicine, ranging from isotope availability and reimbursement challenges for diagnostic radiopharmaceuticals to increasing patient interest in PET imaging.
For patients with interstitial lung disease, FAPI PET/CT was more effective than 18F-FDG PET/CT at predicting progressive pulmonary fibrosis according to comparative study findings presented at the 2024 Society of Nuclear Medicine and Molecular Imaging (SNMMI) Annual Meeting.
SNMMI: Study Finds FAP-Targeted Radioligand Therapy Beneficial for Patients with Advanced Sarcomas
The use of 90Y-FAPI-46 radioligand therapy resulted in controlled disease progression in nearly half of a 30-person cohort largely comprised of patients with advanced sarcomas, according to new research presented at the 2024 Society of Nuclear Medicine and Molecular Imaging (SNMMI) Annual Meeting.
Can Mammography-Based AI Enhance the Detection of Contralateral Breast Cancer?
Offering comparable sensitivity to radiologists for detecting contralateral breast cancer on mammography images, an emerging adjunctive AI software may also facilitate earlier diagnosis, according to study findings presented at the at the 2024 American Society of Clinical Oncology (ASCO) Annual Meeting.
Additional carcinoma in the ipsilateral breast was detected on preoperative MRI exams in 24 out of 102 women prior to lumpectomy and mastectomy procedures, according to new study findings presented at the 2024 American Society of Clinical Oncology (ASCO) Annual Meeting in Chicago.
CT-Based AI Model May Enhance Prediction of Lung Cancer Recurrence
An AI model that includes extracted radiomic features from CT scans more than doubled the sensitivity rate for preoperative prediction of lung cancer recurrence in comparison to traditional TNM staging, according to study findings to be presented at the 2024 American Society of Clinical Oncology (ASCO) Annual Meeting in Chicago.
Qure.ai to Debut Multimodality AI Platform for Lung Cancer Imaging at ASCO 2024
In addition to detecting missed lung nodules on X-rays, the AI-powered Qure.ai lung cancer continuum platform reportedly automates lung nodule measurement on CT scans and facilitates multimodality reporting.
Current Insights and Emerging Roles for Contrast-Enhanced Mammography
In a recent lecture at the 2024 ARRS Annual Meeting, Jordana Phillips, MD, discussed the role of contrast-enhanced mammography in staging breast cancer, evaluating response to neoadjuvant chemotherapy and recalls from screening.
Study Finds High Concordance Between AI and Radiologists for Cervical Spine Fractures on CT
Researchers found a 98.3 percent concordance between attending radiology reports and AI assessments for possible cervical spine fractures on CT, according to new research presented at the 2024 ARRS Annual Meeting.
Study of Ofatumumab for Multiple Sclerosis Shows 'Profoundly Suppressed MRI Lesion Activity'
The use of continuous ofatumumab in patients within three years of a relapsing multiple sclerosis diagnosis led to substantial reductions in associated lesions on brain MRI scans, according to research recently presented at the American Academy of Neurology (AAN) conference.
Could a Deep Learning Model for Mammography Improve Prediction of DCIS and Invasive Breast Cancer?
Artificial intelligence (AI) assessment of mammography images may significantly enhance the prediction of invasive breast cancer and ductal carcinoma in situ (DCIS) in women with breast cancer, according to new research presented at the Society for Breast Imaging (SBI) conference.
Improving the Quality of Breast MRI Acquisition and Processing
Discussing findings from a new study presented at the Society for Breast Imaging (SBI) conference, Shahrzad Tavana, M.D., detailed the significant impact of training sessions for MRI technologists in improving breast positioning, optimal field of view and accuracy of sequence submissions to PACS for breast MRI exams.