Article
Radiology, Nuclear Medicine & Medical Imaging
Russell Frood, Matt Clark, Cathy Burton, Charalampos Tsoumpas, Alejandro F. Frangi, Fergus Gleeson, Chirag Patel, Andrew Scarsbrook
Summary: This study evaluated the ability of machine learning models derived from pre-treatment FDG PET/CT to predict outcomes in cHL patients. The results showed that a ridge regression model using a 1.5 x mean liver SUV segmentation had the highest performance, with a high AUC when evaluated on training, validation, and test datasets.
EUROPEAN RADIOLOGY
(2022)
Article
Medicine, Research & Experimental
Marius E. Mayerhoefer, Markus Raderer, Wolfgang Lamm, Verena Pichler, Sarah Pfaff, Michael Weber, Barbara Kiesewetter, Markus Hacker, Lukas Kazianka, Philipp B. Staber, Hans-Juergen Wester, Johannes Rohrbeck, Ingrid Simonitsch-Klupp, Alexander Haug
Summary: In this prospective study, [Ga-68]Pentixafor-PET showed higher sensitivity and detection rates compared to [F-18]FDG-PET in patients with mantle cell lymphoma (MCL), indicating that it may be a potential alternative for imaging in these patients. The study also found that SUVs and TBRs were significantly higher for [Ga-68]Pentixafor-PET, with the most notable difference observed in mean TBRblood values.
Article
Radiology, Nuclear Medicine & Medical Imaging
R. Gallicchio, A. Nardelli, G. Calice, A. Guarini, G. Guglielmi, G. Storto
Summary: This study evaluated the prognostic significance of combined use of FDG and FLT PET/CT in MM patients, showing that PET/CT can predict patient prognosis and that FDG+; FLT- patients have better EFS compared to other groups.
EUROPEAN JOURNAL OF RADIOLOGY
(2021)
Editorial Material
Hematology
Andrew Wirth, N. George Mikhaeel
Summary: This study demonstrates that in patients with DLBCL, those who are EOT PET-negative may be spared from radiotherapy, while selected patients with EOT PET-positive sites can achieve outcomes comparable to PET-negative patients when receiving selective treatment.
Article
Radiology, Nuclear Medicine & Medical Imaging
Cheng Yuan, Qing Shi, Xinyun Huang, Li Wang, Yang He, Biao Li, Weili Zhao, Dahong Qian
Summary: In this study, a multimodal deep learning (MDL) model was constructed using interim PET/CT imaging data to predict possible primary treatment failure (PTF) in low-risk DLBCL patients. The best model, optimized with a contrastive training objective, showed good prediction performance and generalization ability in both the primary and external dataset.
EUROPEAN RADIOLOGY
(2023)
Article
Multidisciplinary Sciences
Akram Al-Ibraheem, Farah Anwer, Malik E. Juweid, Qaid Ahmed Shagera, Aysar N. Khalaf, Shahed Obeidat, Areen Mansour, Mohammad Ma'koseh, Khalid Halahleh, Imad Jaradat, Nidal Almasri, Asem Mansour
Summary: The study assessed the predictive value of interim FDG-PET/CT in HL patients treated with ABVD chemotherapy. The results showed that iPET was strongly associated with treatment response and prognosis, and could help tailor therapy to individual patients.
SCIENTIFIC REPORTS
(2022)
Review
Medicine, General & Internal
Pauline Brice, Eric de Kerviler, Jonathan W. Friedberg
Summary: Classical Hodgkin lymphoma is a relatively common lymphoma that is generally considered highly curable with standard first-line chemotherapy and radiotherapy, although some patients may not be cured or may experience late toxic effects leading to premature death. Recent changes in the gold standard of chemotherapy, now often including immunotherapy in relapse settings, have further impacted treatment outcomes.
Article
Radiology, Nuclear Medicine & Medical Imaging
Mourtaza Karimdjee, Gauthier Delaby, Damien Huglo, Clio Baillet, Alexandre Willaume, Simon Dujardin, Alban Bailliez
Summary: New PET data-processing tools using artificial intelligence (AI) provide automated lesion selection and segmentation, allowing for the routine acquisition of total metabolic tumor volume (TMTV) and total lesion glycolysis (TLG) at the clinical workstation. This study evaluated the implementation of AI in commercial software, demonstrating its reproducibility, time savings, and reliable performance. The results showed that AI-enabled software offers an automated, fast, and consistently performing tool for obtaining TMTV and TLG.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Lijuan Feng, Shuxin Zhang, Xia Lu, Xu Yang, Ying Kan, Chao Wang, Hui Zhang, Wei Wang, Jigang Yang
Summary: This study investigated the use of F-18-fluorodeoxyglucose (F-18-FDG) positron emission tomography/computed tomography (PET/CT) radiomics features to accurately identify event-free survival (EFS) in pediatric neuroblastoma. The noninvasive combined model showed superior performance compared to clinical and conventional PET models in predicting EFS.
ACADEMIC RADIOLOGY
(2023)
Review
Oncology
Federica Matteucci, Giovanni Paganelli, Giovanni Martinelli, Claudio Cerchione
Summary: Recent advances in the diagnosis and treatment of multiple myeloma have emphasized the importance of imaging methods, particularly PET/CT, in providing accurate information for disease localization, prognosis, and therapy response evaluation. While 18F-FDG tracer is commonly used and has high sensitivity, limitations such as physiological uptake in the bone marrow and brain have prompted research on other PET tracers for improved accuracy in multiple myeloma management.
FRONTIERS IN ONCOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Haiyan Wang, Yaping Wu, Zhenxing Huang, Zhicheng Li, Na Zhang, Fangfang Fu, Nan Meng, Haining Wang, Yun Zhou, Yongfeng Yang, Xin Liu, Dong Liang, Hairong Zheng, Greta S. P. Mok, Meiyun Wang, Zhanli Hu
Summary: Our proposed deep learning method can synthesize highly correlated and consistent dynamic parametric images obtained from static lung PET. The image quality of the synthesized images was evaluated qualitatively and quantitatively, and statistical analysis of correlation and consistency was performed on the synthetic images.
EUROPEAN RADIOLOGY
(2023)
Article
Oncology
Jihyun An, Minyoung Oh, Seog-Young Kim, Yoo-Jin Oh, Bora Oh, Ji-Hye Oh, Wonkyung Kim, Jin Hwa Jung, Ha Il Kim, Jae-Seung Kim, Chang Ohk Sung, Ju Hyun Shim
Summary: This study aimed to explore the genomic and molecular characteristics of hepatocellular carcinoma (HCC) with increased FDG uptake in PET and identify therapeutic targets based on these findings. The results showed that high FDG avidity was associated with worse recurrence-free survival after HCC resection. The upregulation of mTOR pathway genes in FDG-avid tumors was identified, and treatment with an mTOR inhibitor resulted in decreased FDG uptake and effective tumor control. This PET-based radiogenomic analysis may have implications for precision care of HCC patients.
CLINICAL CANCER RESEARCH
(2022)
Article
Medicine, General & Internal
Sebastian Werner, Julia Sekler, Brigitte Gueckel, Christian la Fougere, Konstantin Nikolaou, Christina Pfannenberg, Heike Preibsch, Tobias Engler, Susann-Cathrin Olthof
Summary: This study analyzed the impact of PET/CT on clinical management decisions in breast cancer patients. The results showed that PET/CT significantly influenced management changes, providing more reliable tumor staging and avoiding unnecessary diagnostic tests.
Article
Radiology, Nuclear Medicine & Medical Imaging
Pei-Ju Chuang, Hsiu-Po Wang, Yu-Jen Lin, Chieh-Chang Chen, Yu-Wen Tien, Min-Shu Hsieh, Shih-Hung Yang, Ruoh-Fang Yen, Chi-Lun Ko, Yen-Wen Wu, Mei-Fang Cheng
Summary: This study found that preoperative 2-[F-18]FDG PET-CT imaging in patients with ampullary carcinoma undergoing pancreaticoduodenectomy provided independent prognostic value, with lymphovascular invasion, involved margin in pathology, and tumor retention index from the dual-phase PET being associated with disease-free survival (DFS), and involved margin, post-recurrence chemotherapy, and metabolic tumor volume (MTV) being associated with overall survival (OS).
EUROPEAN RADIOLOGY
(2021)
Review
Biochemistry & Molecular Biology
Linlin Huang, Yi Zhao, Jingsong He
Summary: Recent advances in lymphoma treatment have improved survival rates, but also come with side effects. Individualized treatment and interim PET-CT can enhance treatment outcomes and prolong survival time for patients.
JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE B
(2023)
Article
Public, Environmental & Occupational Health
Cheston B. Cunha, Steven Z. Kassakian, Ryan Chan, Fred C. Tenover, Panos Ziakas, Kimberle C. Chapin, Leonard A. Mermel
AMERICAN JOURNAL OF INFECTION CONTROL
(2016)
Article
Medicine, General & Internal
Panayiotis D. Ziakas, Nina Joyce, Ioannis M. Zacharioudakis, Fainareti N. Zervou, Richard W. Besdine, Vincent Mor, Eleftherios Mylonakis
Article
Immunology
Elina Eleftheria Pliakos, Nikolaos Andreatos, Panayiotis D. Ziakas, Eleftherios Mylonakis
CLINICAL INFECTIOUS DISEASES
(2019)
Review
Microbiology
Elina Eleftheria Pliakos, Nikolaos Andreatos, Fadi Shehadeh, Panayiotis D. Ziakas, Eleftherios Mylonakis
CLINICAL MICROBIOLOGY REVIEWS
(2018)
Article
Immunology
Aigli G. Vakrakou, Sorina Boiu, Panayiotis D. Ziakas, Evangelia Xingi, Haralabia Boleti, Menelaos N. Manoussakis
JOURNAL OF AUTOIMMUNITY
(2018)
Article
Multidisciplinary Sciences
Panayiotis D. Ziakas, Irene S. Kourbeti, Loukia S. Poulou, Georgios S. Vlachogeorgos, Eleftherios Mylonakis
Article
Critical Care Medicine
Elina Eleftheria Pliakos, Nikolaos Andreatos, Giannoula S. Tansarli, Panayiotis D. Ziakas, Eleftherios Mylonakis
Article
Medicine, General & Internal
Panayiotis D. Ziakas, Eleftherios Mylonakis
Article
Medicine, General & Internal
Katerina Tori, Giannoula S. Tansarli, Diane M. Parente, Markos Kalligeros, Panayiotis D. Ziakas, Eleftherios Mylonakis
Article
Multidisciplinary Sciences
Panayiotis D. Ziakas, Eleftherios Mylonakis
Article
Immunology
Elina Eleftheria Pliakos, Panayiotis D. Ziakas, Eleftherios Mylonakis
Summary: The study compares the cost-effectiveness of cefazolin and antistaphylococcal penicillins for treating MSSA bacteremia, finding that cefazolin is a cost-effective strategy with considerable healthcare cost-savings.
OPEN FORUM INFECTIOUS DISEASES
(2021)
Article
Immunology
Panayiotis D. Ziakas, Irene S. Kourbeti, Eleftherios Mylonakis
Summary: This study analyzed the relationship between COVID-19 mortality and vaccination coverage in European Union countries. The study found that countries with higher vaccination coverage had lower mortality rates, and expanding vaccination coverage may help improve the death toll of COVID-19.
OPEN FORUM INFECTIOUS DISEASES
(2022)
Article
Oncology
Panayiotis D. Ziakas, Eleftherios Mylonakis
Summary: The study found that oncologists' drug costs in Medicare Part D payments have been steadily increasing, surpassing all other providers. There are regional variations in costs, partially influenced by the oncology workforce and quality of cancer care.
JCO ONCOLOGY PRACTICE
(2021)
Article
Oncology
Loukia S. Poulou, Loukas Thanos, Panayiotis D. Ziakas, Emmanouel Merikas, Apostolos Achimastos, Constantine Gennatas, Konstantinos N. Syrigos
Article
Oncology
Panayiotis D. Ziakas, Loukia S. Poulou, Elias Zintzaras
