Article
Oncology
Xiaojun Xu, Xun Sun, Ling Ma, Huangqi Zhang, Wenbin Ji, Xiaotian Xia, Xiaoli Lan
Summary: This study aimed to investigate the feasibility of predicting progression-free survival (PFS) in breast cancer patients using pretreatment F-18-fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) radiomics signature and clinical parameters. The study found that the integrated clinical-radiomics (ICR) model, which combined clinical parameters and preoperative FDG PET/CT imaging, was able to independently predict PFS in breast cancer patients, and was superior to the clinical model alone and rad-score alone.
FRONTIERS IN ONCOLOGY
(2023)
Article
Biochemistry & Molecular Biology
Shanshan Chen, Yu Song, Huimin Wu, Honglin Ge, Wenzhang Qi, Yue Xi, Jiayi Wu, Yuxiang Ji, Kexin Chen, Xingjian Lin, Jiu Chen
Summary: In patients with amnestic mild cognitive impairment (aMCI), anosognosia is associated with increased tau accumulation in specific brain regions, disrupted functional connectivity, and accelerates progression to Alzheimer's disease dementia.
ACS CHEMICAL NEUROSCIENCE
(2022)
Article
Biochemistry & Molecular Biology
Yuuki Sasaki, Noriyuki Kimura, Yasuhiro Aso, Kenichi Yabuuchi, Miki Aikawa, Etsuro Matsubara
Summary: The study found that CSF levels of MMP-2 were negatively correlated with brain amyloid deposition, especially in the parietotemporal lobe and posterior cingulate gyrus, and that CSF levels of MMP-7 were positively correlated with the severity of WMLs. These findings provide insights into the role of MMPs in amyloid beta catabolism and blood-brain barrier integration at the MCI stage.
Article
Neurosciences
Hyejin Ahn, Dahyun Yi, Kyungjin Chu, Haejung Joung, Younghwa Lee, Gijung Jung, Kiyoung Sung, Dongkyun Han, Jun Ho Lee, Min Soo Byun, Dong Young Lee
Summary: This study investigated the neural correlates of semantic verbal fluency test (SVFT) scores in subjects with mild cognitive impairment (MCI) and Alzheimer's disease (AD) dementia using FDG-PET. The results showed that the total score (TS) of SVFT was positively correlated with cerebral glucose metabolism in various brain regions. However, the strategy scores of switching (SW) and cluster switching (CSW) were found to be better indicators of specific language and executive functions. Furthermore, the associations between strategy scores and regional glucose metabolism varied based on the severity of the disease.
JOURNAL OF ALZHEIMERS DISEASE
(2022)
Review
Immunology
Jie Huang
Summary: This review discusses the current status and applications of molecule-based positron emission tomography (PET) imaging in neuroinflammation. Despite certain limitations, neuroinflammation PET imaging is considered a promising approach to understanding the pathophysiological process of Alzheimer's disease (AD) and mild cognitive impairment (MCI).
FRONTIERS IN IMMUNOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jiaxuan Peng, Wei Wang, Qiaowei Song, Jie Hou, Hui Jin, Xue Qin, Zhongyu Yuan, Yuguo Wei, Zhenyu Shu
Summary: This study built a model using white-matter radiomics features on PET and machine learning methods to predict progression from MCI to AD. The clinical dementia rating (CDR) scores, Alzheimer's disease assessment scale (ADAS) scores, and psychoradiomics signature (PS) were found to independently predict MCI progression to AD. An integrated model combining multimodal data and machine learning successfully identified MCI patients at a high risk of progression to AD.
ACADEMIC RADIOLOGY
(2023)
Article
Oncology
Suk-Hyun Lee, Jee-Soo Park, Hyunjeong Kim, Dongwoo Kim, Seung-Hwan Lee, Won-Sik Ham, Woong-Kyu Han, Young-Deuk Choi, Mijin Yun
Summary: The heterogeneous uptake of both F-18 FDG and C-11 methionine on PET/CT in renal cell carcinomas is associated with higher grades of cancer. The metabolic tumour volume on F-18 FDG PET/CT but not C-11 methionine PET/CT is significant in predicting advanced-stage renal cell carcinoma. These metabolic features derived from PET/CT imaging may aid in the development of new drugs targeting glucose and amino acid metabolic pathways.
Article
Cardiac & Cardiovascular Systems
Dong Tian, Haruhiko Shiiya, Miwako Takahashi, Yasuhiro Terasaki, Hirokazu Urushiyama, Aya Shinozaki-Ushiku, Hao-Ji Yan, Masaaki Sato, Jun Nakajima
Summary: This study investigated the correlations between lung allograft rejection (AR) and radiomic features derived from 18F-FDG PET using a rat lung transplantation (LTx) model, and evaluated the performance of machine learning-based radiomics for monitoring AR. The results showed significant positive correlations of SUVmax and Rad-score with histopathology. Machine learning models outperformed logistic regression models, with the optimal model achieving an AUC of 0.982.
JOURNAL OF HEART AND LUNG TRANSPLANTATION
(2022)
Article
Cardiac & Cardiovascular Systems
Chaitanya Rojulpote, Abhijit Bhattaru, Christopher Jean, Sarah L. Adams, Vandan Patel, Mahesh K. Vidula, Senthil Selvaraj, Jacob Dubroff, Eliot Peyster, Caitlin B. Clancy, Karen Patterson, Francis E. Marchlinski, Milton Rossman, Lee Goldberg, Paco E. Bravo
Summary: This study investigated the effect of immunosuppressive therapy and biopsy status on myocardial FDG-PET/CT in assessing treatment response in patients with suspected cardiac sarcoidosis. The results showed that a favorable treatment response was more common when using moderate-to-high intensity prednisone dose, and individuals with biopsy-proven sarcoidosis and preserved systolic function were less likely to experience adverse outcomes during follow-up.
JACC-CARDIOVASCULAR IMAGING
(2022)
Article
Urology & Nephrology
Sarah R. Ottenhof, Rosa S. Djajadiningrat, Michelle W. J. Versleijen, Maarten L. Donswijk, Vincent van der Noort, Oscar R. Brouwer, Niels M. Graafland, Erik Vegt, Simon Horenblas
Summary: FDG-PET/CT has high diagnostic value for staging pelvic lymph nodes and detecting distant metastases in high-risk penile cancer patients. It has high sensitivity and negative predictive value for pelvic lymph node staging, as well as a high positive predictive value for the detection of distant metastases.
EUROPEAN UROLOGY FOCUS
(2022)
Article
Oncology
Hyein Ahn, Geum Jong Song, Si-Hyong Jang, Hyun Ju Lee, Moon-Soo Lee, Ji-Hye Lee, Mee-Hye Oh, Geum Cheol Jeong, Sang Mi Lee, Jeong Won Lee
Summary: Radiomic analysis using textural features extracted from FDG PET/CT images can predict metastasis and prognosis in gastric cancer patients. This study found significant correlations between textural features on FDG PET/CT, histopathological findings, and recurrence-free survival in advanced gastric cancer.
Article
Cell Biology
Eun-Hye Lee, Myung-Hoon Han, Jungsoon Ha, Hyun-Hee Park, Seong-Ho Koh, Seong Hye Choi, Jae-Hong Lee
Summary: The study indicated a negative association between age and telomere length, with individuals with Alzheimer's disease showing a greater rate of telomere shortening per year compared to healthy individuals and those with mild cognitive impairment. Additionally, women experienced more significant telomere shortening per year than men.
Article
Cardiac & Cardiovascular Systems
Joao Borges-Rosa, Manuel Oliveira-Santos, Rodolfo Silva, Andreia Gomes, Jose de Almeida, Gracinda Costa, Lino Goncalves, Maria Joao Ferreira
Summary: In patients with biopsy-proven sarcoidosis, cardiac involvement detected by [18F]FDG-PET or CMR is associated with a higher risk of cardiovascular events, regardless of symptoms. Patients with probable CS had a higher prevalence of heart failure, atrial fibrillation, coronary disease, and valvular disease compared to those without cardiac involvement. Probable CS patients had significantly higher rates of heart failure hospitalizations, uncontrolled arrhythmias, and pacemaker implantation during follow-up, with a trend towards increased all-cause mortality.
INTERNATIONAL JOURNAL OF CARDIOLOGY
(2022)
Article
Oncology
Jeonghyun Kang, Jae-Hoon Lee, Hye Sun Lee, Eun-Suk Cho, Eun Jung Park, Seung Hyuk Baik, Kang Young Lee, Chihyun Park, Yunku Yeu, Jean R. Clemenceau, Sunho Park, Hongming Xu, Changjin Hong, Tae Hyun Hwang
Summary: The study aimed to investigate the prognostic value of radiomics signatures derived from F-18-fluorodeoxyglucose (F-18-FDG) positron-emission tomography (PET) in patients with colorectal cancer (CRC). Radiomics features extracted from PET-CT images can help predict progression-free survival in CRC patients and improve diagnostic accuracy compared to conventional clinicopathological data-driven models.
Review
Radiology, Nuclear Medicine & Medical Imaging
Seyed Ali Mirshahvalad, Aruz Mesci, Vanessa Murad, Andres Kohan, Claudia Ortega, Patrick Veit-Haibach, Ur Metser
Summary: This study conducted a meta-analysis to evaluate the diagnostic and prognostic value of PET in anal canal cancer patients. The results showed that PET had high sensitivity and specificity in distinguishing T3/T4 stages and detecting metastatic disease. PET also showed good sensitivity and specificity in therapy response assessment. Furthermore, pre-treatment total metabolic tumour volume was found to be predictive of survival, and complete metabolic response was associated with better prognosis. Overall, PET may be a valuable tool in therapy planning and prognostic assessment for anal canal cancer.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2023)