F-18-FDG PET/CT findings of paraneoplastic dermatoses

Generative AI and large language models in nuclear medicine: current status and future prospects

This review explores the potential applications of Large Language Models (LLMs) in nuclear medicine, especially nuclear medicine examinations such as PET and SPECT, reviewing recent advancements in both fields. Despite the rapid adoption of LLMs in various medical specialties, their integration into nuclear medicine has not yet been sufficiently explored. We first discuss the latest developments in nuclear medicine, including new radiopharmaceuticals, imaging techniques, and clinical applications. We then analyze how LLMs are being utilized in radiology, particularly in report generation, image interpretation, and medical education. We highlight the potential of LLMs to enhance nuclear medicine practices, such as improving report structuring, assisting in diagnosis, and facilitating research. However, challenges remain, including the need for improved reliability, explainability, and bias reduction in LLMs. The review also addresses the ethical considerations and potential limitations of AI in healthcare. In conclusion, LLMs have significant potential to transform existing frameworks in nuclear medicine, making it a critical area for future research and development.

FDG PET/CT Findings of a Small Cell Carcinoma of the Lung Presented as Diffuse Dermatomyositis

ABSTRACT

Patients with dermatomyositis are prone to have occult malignancy. A previously healthy 68-year-old man with dermatomyositis underwent FDG PET/CT to detect possible malignancy of unknown origin. The images showed not only diffuse increased activity in the muscle, which was related to the known dermatomyositis, but also intense activity in the anterior chest with foci of abnormal activity throughout the body. Pathology examination confirmed small cell carcinoma of the lung with widespread metastases.

Clinical value of [18F]F-FDG PET/CT in patients with suspected paraneoplastic dermatoses: Diagnostic performance and impact on clinical management

PURPOSE

We retrospectively evaluate the diagnostic performance of 2-deoxy-2[18F]fuoro-D-glucose([18F]F-FDG) PET/CT and its impact on clinical management in patients with suspected paraneoplastic dermatoses (PD).

MATERIALS AND METHODS

From an institutional PET/CT database (2014-2022), we retrospectively analyzed patients who were clinically suspected with PD and underwent [18F]F-FDG PET/CT for screening an underlying malignancy. For all scans, positive mucocutaneous lesions and PET-indicated malignancies were assessed, and the degree of FDG avidity among different dermatoses were quantified. The final diagnoses of dermatoses and neoplasms were based on pathologic results, international diagnostic standard and follow-up. We assessed the recommended and applied therapies before and after [18F]F-FDG PET/CT and noted whether the patient management changed on the basis of the [18F]F-FDG PET/CT results.

RESULTS

We analyzed 60 patients with 10 types of dermatoses in this study. Finally, 19 of the 60 patients who had both of specific dermatosis and contemporaneous neoplasm were diagnosed with PD. [18F]F-FDG PET could identify the underlying neoplasms in 18/19 (94.7%) PD patients, and led to a change of the management in 9/19 (47.4%) PD patients. In addition, the mucocutaneous manifestations of [18F]F-FDG PET/CT associated with several specific dermatoses were characteristic.

CONCLUSIONS

This study highlighted the value of [18F]F-FDG PET/CT as a useful tool for evaluation of patients with suspected PD to unveil the underlying culprit tumor, and profoundly supports the clinical management of PD patients.

From FDG and beyond: the evolving potential of nuclear medicine

The radiopharmaceutical 2-[fluorine-18]fluoro-2-deoxy-D-glucose (FDG) has been dominantly used in positron emission tomography (PET) scans for over 20 years, and due to its vast utility its applications have expanded and are continuing to expand into oncology, neurology, cardiology, and infectious/inflammatory diseases. More recently, the addition of artificial intelligence (AI) has enhanced nuclear medicine diagnosis and imaging with FDG-PET, and new radiopharmaceuticals such as prostate-specific membrane antigen (PSMA) and fibroblast activation protein inhibitor (FAPI) have emerged. Nuclear medicine therapy using agents such as [177Lu]-dotatate surpasses conventional treatments in terms of efficacy and side effects. This article reviews recently established evidence of FDG and non-FDG drugs and anticipates the future trajectory of nuclear medicine.