- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Imaging technique proves useful for ovarian cancer
A molecular imaging technique may prove useful in early assessment of treatment response for cisplatin-resistant ovarian cancer, according to a study published in the Journal of Nuclear Medicine.
A molecular imaging technique may prove useful in early assessment of treatment response for cisplatin-resistant ovarian cancer, according to a study published in the Journal of Nuclear Medicine. Cisplatin is often effective against ovarian cancer when first given, but tumors can become resistant and start growing again.
The study showed F-18 fluorothymidine (F-FLT) PET was able to predict early response to everolimus (a mammalian target of rapamycin inhibitor) in cisplatin-resistant ovarian cancer in mice. The technique should be considered for therapeutic assessment in humans, according to the researchers.
No significant change in tumor F-FLT uptake was observed in the controls. In the everolimus-treated mice, F-FLT standard uptake value decreased by 33% on the second day of treatment and by 66% on the seventh day. There were also changes in tumor volume.
Study Reveals Benefits of Photon-Counting CT for Assessing Acute Pulmonary Embolism
April 23rd 2024In comparison to energy-integrating detector CT for the workup of suspected acute pulmonary embolism, the use of photon-counting detector CT reduced radiation dosing by 48 percent, according to newly published research.
The Reading Room: Racial and Ethnic Minorities, Cancer Screenings, and COVID-19
November 3rd 2020In this podcast episode, Dr. Shalom Kalnicki, from Montefiore and Albert Einstein College of Medicine, discusses the disparities minority patients face with cancer screenings and what can be done to increase access during the pandemic.
AI Adjudication Bolsters Chest CT Assessment of Lung Adenocarcinoma
April 11th 2024The inclusion of simulated adjudication for resolving discordant nodule classifications in a deep learning model for assessing lung adenocarcinoma on chest CT resulted in a 12 percent increase in sensitivity rate.
