Week in review: ACR news | ChatGPT and data mining | FAPI-PET in lung cancer patients

Dear AuntMinnie Member,

Our most highly viewed article this week reported on the American College of Radiology (ACR) announcement that it has decided to lay off 11% of its workforce.

The organization said the decision was influenced by factors such as the economic impact of the COVID-19 pandemic, inflation, and higher costs. Click here for our story.

In other content attracting attention this week on AuntMinnie.com, a new study highlighted ChatGPT’s potential to perform data mining of reports on thrombectomy procedures. The researchers believe that the large language model could provide an alternative to the labor-intensive and error-prone manual process currently used for building stroke registries. Click here for all of the details.

Although CT and F-18 FDG-PET are considered clinical gold standards for lung cancer imaging, several cancer subtypes are often negative on these exams – a shortcoming that can limit assessment of single pulmonary lesions. But FAPI-PET imaging may be able to help, according to a recent study. Click here to learn more.

Market analysis was also popular this week. A new report from AuntMinnie.com sister company IMV Medical Information Division has documented a 5.7% decrease in total nuclear medicine patient study volumes between 2021 and 2023. Click here to delve further into the results.

In good news, The MarkeTech Group's Medical Imaging Confidence Index (MICI) report for the second quarter of 2024 has found that radiology administrators are confident that diagnostic and interventional radiology will continue to grow as a profit center this year. But it may not be totally smooth sailing, according to our coverage.

Another featured article this week described the scenarios for when brain MRI is an effective choice in patients presenting to the emergency department for dizziness or vertigo. In AI developments, a deep-learning model can determine tumor staging and sentinel lymph node metastasis in breast cancer patients, while another algorithm can flag patients at further risk of lung cancer.

See the full list below of our most popular stories of the week:

1. ACR lays off 11% of workforce

2. Can ChatGPT ‘data mine’ patient reports for stroke registries?

3. FAPI-PET shows promise in patients with lung cancer

4. IMV: Nuclear medicine procedure volumes decrease

5. MICI Q2: Radiology administrators remain optimistic about growth

6. Can brain MRI for emergency imaging of dizziness be more effective?

7. Deep-learning model determines breast tumor staging

8. CT-based deep learning identifies patients at further lung cancer risk

9. High breast density tied to impaired recurrence-free cancer survival

10. Radiologist consultation improves patients’ LCS attitudes

11. AI proposed to help radiologists detect child abuse injuries

12. Tailored lung cancer screening model helps determine nodule follow-up

13. PET/MRI reveals sex differences in patients with autism

14. POCUS used widely in lung ultrasound applications

Page 1 of 3591
Next Page