[Cancer Management and Research] Researchers present a comparison study on the sensitivity and accuracy of 3 types of imaging studies — contrast-enhanced ultrasound, MRI, and computed tomography — in diagnosing and classifying pancreatic cystic neoplasms.
[Journal of Hepatocellular Carcinoma] In this review, the authors discuss the use of imaging techniques and radiological biomarkers to monitor treatment response in patients with advanced HCC undergoing antiangiogenic therapy, a key to decisions on whether to continue treatment or initiate second-line therapy.
A retrospective study of neck lesions sought to determine the clinical and dermatoscopic characteristics of melanomas on the neck vs nevi.
Researchers investigated the use of artificial intelligence to evaluate skin lesions suspicious for melanoma in camera-based images as a potential decision-support tool.
After an assessment of prior authorizations for imaging studies demonstrated potential waste, a health care system and a large commercial payer collaborated to streamline patient care.
Concurrent use of AI system improves cancer detection, reduces reading time and recall rate.
Deep natural language processing used to detect presence of lung cancer and treatment response.
Adoption varied widely by region; uptake more rapid in areas with greater socioeconomic resources.
In a head-to-head comparative study involving PCa patients with early biochemical recurrence following radical surgery, PSMA PET/CT had significantly higher cancer detection rates than fluciclovine PET/CT.
This case illustrates the role of PET/CT imaging at diagnosis in determining extramedullary disease in patients with multiple myeloma.
