• This meta-analysis assesses the role of PET/CT in breast cancer during NAC. • Pathological responses were based on both primary tumour and lymph node. • F-FDG PET/CT has a moderate accuracy in predicting the pathological response.

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Background: 18-fluorodeoxyglucose positron emission tomography/computed tomography ( 18 F-PET/CT) has been widely applied for the imaging of head and neck squamous cell carcinoma (HNSCC). This study examined whether pre- and post-treatment 18 F-PET/CT features can help predict the survival of HNSCC patients. Results: Three radiomics features were identified as prognostic factors. Radiomics score calculated from these features significantly predicted overall survival (OS) and disease-free disease (DFS). The clinicopathological characteristics combined with pre- or post-treatment nomograms showed better ROC curves and decision curves than the nomogram based only on clinicopathological characteristics. Conclusions: Combining clinicopathological characteristics with radiomics features of pre-treatment PET/CT or post-treatment PET/CT assessment of primary tumor sites as positive or negative may substantially improve prediction of OS and DFS of HNSCC patients. Methods: 171 patients who received pre-treatment 18 F-PET/CT scans and 154 patients who received post-treatment 18 F-PET/CT scans with HNSCC in the Cancer Imaging Achieve (TCIA) were included. Nomograms that combined clinicopathological features with either pre-treatment PET/CT radiomics features or post-treatment assessment of primary tumor sites were constructed using data from 154 HNSCC patients. Receiver operating characteristic (ROC) curves and decision curves were used to compare the predictions of these models with those of a model incorporating only clinicopathological features.

Alzheimer's disease (AD) is a high mortality and high disability rates neurodegenerative disease characterized by irreversible progression and poses a significant social and economic burden throughout the world. However, currently approved AD therapeutic agents only alleviate symptoms and there is still a lack of practical therapeutic regimens to stop or slow the progression of this disease. Thus, there is urgently needed novel diagnosis tools and drugs for early diagnosis and treatment of AD. Among several AD pathological hallmarks, amyloid-β (Aβ) peptide deposition is considered a critical initiating factor in AD. In recent years, with the advantages of excellent sensitivity and high resolution, near-infrared fluorescence (NIRF) imaging has attracted the attention of many researchers to develop Aβ plaque probes. This review mainly focused on different NIRF probe design strategies for imaging Aβ species to pave the way for the future design of novel NIRF probes for early diagnosis AD.

Radiomics is an emerging technique that allows the quantitative extraction of high-throughput features from single or multiple medical images, which cannot be observed directly with the naked eye, and then applies to machine learning approaches to construct classification or prediction models. This method makes it possible to evaluate tumor status and to differentiate malignant from benign tumors or nodules in a more objective manner. To date, the classification and prediction value of radiomics in DTC patients have been inconsistent. Herein, we summarize the available literature on the classification and prediction performance of radiomics-based DTC in various imaging techniques. More specifically, we reviewed the recent literature to discuss the capacity of radiomics to predict lymph node (LN) metastasis, distant metastasis, tumor extrathyroidal extension, disease-free survival, and B-Raf proto-oncogene serine/threonine kinase (BRAF) mutation and differentiate malignant from benign nodules. This review discusses the application and limitations of the radiomics process, and explores its ability to improve clinical decision-making with the hope of emphasizing its utility for DTC patients.

Background: Prostate cancer (PCa) is the most common sex-related malignancy with high mortality in men worldwide. Prostate-specific membrane antigen (PSMA) is overexpressed on the surface of most prostate tumor cells and considered a valuable target for both diagnosis and therapy of prostate cancer. A series of radiolabeled agents have been developed based on the featured PSMA ligands in the previous decade and have demonstrated promising outcomes in clinical research of primary and recurrent PCa. Furthermore, the inspiring response and safety of lutetium-177-PSMA-617 (177Lu-PSMA-617) radiotherapy represent the potential for expanded therapeutic options for metastatic castration-resistant PCa. Retrospective cohort studies have revealed that radiolabeled PSMA agents are the mainstays of the current success, especially in detecting prostate cancer with metastasis and biochemical recurrence. </P><P> Objective: This review is intended to present a comprehensive overview of the current literature on PSMA ligand-based agents for both radionuclide imaging and therapeutic approaches, with a focus on those that have been clinically adopted. </P><P> Conclusion: PSMA-based diagnosis and therapy hold great promise for improving the clinical management of prostate cancer.

Background: Background activity on fluorine-18-fluorodeoxyglucose ( 18 F-FDG) positron emission tomography/computed tomography (PET/CT) is often used as a reference to assess a patient's response to tumor treatment. To produce a suitable background activity reference, we examined the variations in standardized uptake values (SUVs) in the blood pool and liver of a large multi-aged population.Methods: A total of 2,526 subjects underwent 18 F-FDG PET/CT examinations and were divided into 12 age groups. Pearson's partial correlation and multivariate regression analyses were performed to assess the associations between individual factors and SUVs of the blood pool and liver and to identify the factor that most influenced the SUVs. The mean SUVs across the age groups were also determined.Results: Positive correlations were found between individual factors and SUVs. Age appeared to be the most important predictor of SUVs and was significantly associated with the blood pool SUV max (ß=0.466, P=0.000), blood pool SUV mean (ß=0.393, P=0.000), liver SUV max (ß=0.347, P=0.000), and liver SUV mean (ß=0.354, P=0.000). Blood pool and liver SUVs rose rapidly until the age of 20 and then showed a slow upward trend without reaching a plateau. Conclusions:Age is an important factor that influences variations in the blood pool and liver SUVs. Our study clarified this understanding of age-related variations in SUVs and provided a normal range of blood pool and liver SUVs that may aid clinicians in evaluating tumors with greater accuracy.

Background: Proprotein convertase subtilisin/kexin type 9 (PCSK9) is a promising target for lowering plasma low-density lipoprotein cholesterol and preventing cardiovascular (CV) disease. Whether plasma PCSK9 measured during the acute phase predicts recurrent CV events in patients with acute myocardial infarction (AMI) remains unresolved. Methods and Results: Plasma PCSK9 levels were measured in 1,646 patients with AMI from the China PEACE-Prospective AMI Study at the acute phase. Additionally, 248 patients were resampled and measured at 1 month post-AMI. Associations of acute-phase PCSK9 tertiles with clinical characteristics and recurrent CV events within 1 year were assessed. Female gender (OR 1.94, 95% CI 1.24–3.03), premature coronary heart disease (CHD; OR 2.12, 95% CI 1.37–3.26), higher high-sensitivity C-reactive protein (OR 1.67, 95% CI 1.44–1.95), and higher triglycerides (OR 1.46, 95% CI 1.03–2.09) were associated with higher baseline PCSK9. Plasma PCSK9 levels in the highest tertile (versus lowest) did not have an increased risk of 1-year recurrent CV events in the AMI cohort (HR 0.78, 95% CI 0.52–1.16) or any subgroup. There was also no association between percentage changes in PCSK9 over the first month and 1-year recurrent events, although there was a trend of differences between patients in the upper versus lower tertiles. Conclusion: Plasma PCSK9 levels measured during the acute phase were associated with high-sensitivity C-reactive protein, triglycerides, premature CHD, and gender in patients with AMI but did not predict recurrent CV events within 1 year. Dynamic changes in PCSK9 suggested a trend yet no significance value in predicting recurrent CV events.