98%
921
2 minutes
20
Purpose: To prospectively investigate dynamic N-ammonia PET-CT for evaluating early treatment response and predicting prognosis in advanced hepatocellular carcinoma (HCC) patients who have undergone antiangiogenic therapy.
Methods: Dynamic N-ammonia PET-CT was performed in 23 advanced HCC patients before antiangiogenic therapy (baseline) and in 18/23 patients after 8-10 weeks of treatment (post-therapy). At kinetic PET-CT analysis, mean, maximum, and peak values of (mL/cm/min) and (min) were estimated in HCC lesions and non-neoplastic liver using cardiologic N-ammonia PET-CT in 15 patients without any liver diseases as normal controls. Outcome endpoints were treatment response after 8-10 weeks assessed by contrast-enhanced CT, progression-free survival (PFS), and overall survival (OS).
Results: At both baseline and post-therapy PET-CT, all kinetic PET parameters were significantly higher ( < 0.05) in HCC lesions than in non-neoplastic and healthy liver of HCC patients and controls. According to mRECIST criteria, 13/18 patients (72.2%) were responders (1 CR, 1 PR, and 11 SD), and 5/18 patients (27.8%) were non-responders (PD), with no significant differences in baseline and post-therapy PET parameters between the two groups. At follow-up (median: 14.2 months), 15/18 patients (83.3%) experienced radiological progression, and 14/18 (77.8%) died (7/14 within 12 months from treatment). The nine earlier-progression patients (within 6 months from treatment) showed significantly lower baseline in HCC lesions than all nine patients with later or no-progression ( = 0.03). Patients still alive 12 months after treatment (n = 11) showed significantly lower post-therapy ( = 0.05), ( = 0.05), and ( = 0.03) in non-neoplastic liver than patients with shorter OS (n = 7).
Conclusions: In advanced HCC patients treated with antiangiogenic agents, kinetic parameters from baseline and post-therapy N-ammonia PET-CT may predict early disease progression and survival. PET-CT seems not able to discriminate responders and non-responders after 8-10 weeks of treatment, suggesting the need for future and larger studies after a longer treatment period.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11853641 | PMC |
http://dx.doi.org/10.3390/cancers17040656 | DOI Listing |
Cardiovasc Diabetol
August 2025
Centro Malattie Endocrine e Metaboliche, Dipartimento di Scienze Mediche e Chirurgiche, Fondazione Policlinico Universitario A. Gemelli IRCCS and Università Cattolica del Sacro Cuore, Rome, Italy.
Background: Cardiovascular (CV) outcome trials have shown that sodium-glucose cotransporter-2 inhibitors (SGLT2i) reduce CV mortality in type 2 diabetes (T2DM). We previously found that 4 weeks of SGLT2i treatment increased coronary flow reserve (CFR) by 30% and reduced epicardial adipose tissue (EAT) thickness by 19% in T2DM patients with stable coronary artery disease (CAD). However, long-term effects remain unclear.
View Article and Find Full Text PDFComput Methods Programs Biomed
August 2025
School of Medical Technology, Beijing Institution of Technology, No. 5, South Street, Zhongguancun, Haidian District, Beijing 100081, PR China. Electronic address:
Objective: Reorienting cardiac positron emission tomography (PET) images to the transaxial plane is essential for cardiac PET image analysis. This study aims to design a convolutional neural network (CNN) for automatic reorientation and evaluate its generalizability.
Methods: An artificial intelligence (AI) method integrating U-Net and the differentiable spatial to numeric transform module (DSNT-U) was proposed to automatically position three feature points (P, P, and P), with these three points manually located by an experienced radiologist as the reference standard (RS).
Med Phys
July 2025
Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, Geneva, Switzerland.
Background: Cardiac perfusion PET is commonly used to assess ischemia and cardiovascular risk, which enables quantitative measurements of myocardial blood flow (MBF) through kinetic modeling. However, the estimation of kinetic parameters is challenging due to the noisy nature of short dynamic frames and limited sample data points.
Purpose: This work aimed to investigate the errors in MBF estimation in PET through a simulation study and to evaluate different parameter estimation approaches, including a deep learning (DL) method.
Trends Cardiovasc Med
October 2025
Department of Nuclear Medicine, Ludwig-Maximilians University Munich, Munich, Germany.
The rising global burden of coronary artery disease (CAD) underscores the need for advanced diagnostic tools. While single-photon emission computed tomography (SPECT) has been the cornerstone for myocardial perfusion imaging (MPI), it is increasingly being supplemented by positron emission tomography (PET) due to superior spatial resolution, sensitivity, and the ability to quantify myocardial blood flow. However, current PET tracers, including Rubidium-82, N-Ammonia, and O-Water, face limitations due to their short half-lives and logistical challenges.
View Article and Find Full Text PDFJ Cardiol
August 2025
Department of Cardiology, Tokyo Women's Medical University, Tokyo, Japan.
Myocardial positron emission tomography (PET) is superior in detecting ischemia in patients with left main or multivessel disease, conditions that are challenging to assess using single-photon emission computed tomography (SPECT). Additionally, quantitative measurements of myocardial blood flow and myocardial flow reserve (MFR) have been established as significant prognostic indicators for patients with ischemic heart disease. Moreover, N-ammonia PET offers high temporal and spatial resolution, enabling the assessment of both left and right ventricular strain, a quantitative marker of regional myocardial wall motion.
View Article and Find Full Text PDF