Effective anticancer therapy is thought to involve induction of tumour cell death through apoptosis and/or necrosis. [18F]ICMT-11, an isatin sulfonamide caspase-3/7-specific radiotracer, has been developed for PET imaging and shown to have favourable dosimetry, safety, and biodistribution. We report the translation of [18F]ICMT-11 PET to measure chemotherapy-induced caspase-3/7 activation in breast and lung cancer patients receiving first-line therapy.
26 December 2016 in European Heart Journal - Cardiovascular Imaging
Coronary artery aneurysms (CAAs) are incidentally revealed by coronary angiography and consist in a localized dilation of a coronary artery. Although invasive coronary angiography (ICA) is the gold standard imaging technique, it can lead to the underestimation of CAAs diameter in presence of parietal thrombi. Computed tomography coronary angiography (CTCA) is a very sensitive tool in CAAs detection and provides a clear visualization of coronary lumen highlighting intraluminal thrombi. We retrospectively reviewed 390 CTCA performed at our institution, 9 patients (6 men, 3 women) resulted affected by CAAs and represented the aneurysmal group (A group). Matched controls were identified among the non-aneurysmal patients with healthy coronaries to CTCA (NAH group). Clinical variables and imaging findings were compared and correlated. CAAs prevalence in our population was 2.31%. 15 CAAs were detected, mainly on the right coronary artery (RCA) (9 aneurysms) followed by the left anterior descending coronary artery (LAD) (three aneurysms) and the left circumflex coronary artery (CX) (three aneurysms). In six patients (66.7%) CTCA displayed an aneurysmal thrombosis and in 5 patients (55.5%) CAAs were associated to coronary artery stenoses. A statistically significant difference was found between the diameters of coronary vessels measured in healthy segments in A and NAH group. CTCA has led to a non-invasive estimation of CAAs prevalence and characterization of aneurysmal features and coronary anatomy. Overcoming ICA limitations, CTCA has provided a fine analysis of the aneurysms, also in presence of intraluminal thrombi.
Europeans consume large quantities of bakery products, although these are known as one of the food categories that potentially leads to postprandial symptoms (such as fullness and bloating). The aim of this study was to evaluate the effects of sourdough baked goods on gastric emptying and gastrointestinal fermentation and symptoms in healthy people. In a double-blind, randomized crossover study, 2 sourdough croissants (SCs) or 2 brewer's yeast croissants (BCs) were served as single meals to 17 healthy adults [9 women; age range: 18–40 y; body mass index range (in kg/m2): 18–24]. Gastric volume (GV) was evaluated by magnetic resonance to calculate gastric-emptying rate in the 3-h interval after croissant ingestion. A hydrogen breath test was performed to measure hydrogen production after SC and BC ingestion. Palatability and postprandial gastrointestinal symptoms (discomfort, nausea, fullness, and bloating) over a 4-h period after the meal were evaluated. The area under the curve (AUC) was used to evaluate the overall effects on all variables tested. The total GV AUC was reduced by 11% during the 3 h after the consumption of SCs compared with BCs (P = 0.02). Hydrogen production during the 4-h interval after ingestion of SCs was 30% lower than after BCs (P = 0.03). SCs were rated as being >2 times as palatable as BCs (P < 0.001). The overall severity of postprandial symptoms was 36% lower during the 4 h after intake of SCs compared with BCs (P = 0.05). Sourdough bakery products could promote better postprandial gastrointestinal function in healthy adults and be more acceptable than those prepared with brewer's yeast. This trial was registered at www.clinicaltrials.gov as NCT03207516.
Background: Alzheimer’s disease, the most common cause of dementia, causes a progressive and irreversible deterioration of cognition that can sometimes be difficult to diagnose, leading to suboptimal patient care. Methods: We developed a predictive model that computes multi-regional statistical morpho-functional mesoscopic traits from T1-weighted MRI scans, with or without cognitive scores. For each patient, a biomarker called “Alzheimer’s Predictive Vector” (ApV) was derived using a two-stage least absolute shrinkage and selection operator (LASSO). Results: The ApV reliably discriminates between people with (ADrp) and without (nADrp) Alzheimer’s related pathologies (98% and 81% accuracy between ADrp - including the early form, mild cognitive impairment - and nADrp in internal and external hold-out test sets, respectively), without any a priori assumptions or need for neuroradiology reads. The new test is superior to standard hippocampal atrophy (26% accuracy) and cerebrospinal fluid beta amyloid measure (62% accuracy). A multiparametric analysis compared DTI-MRI derived fractional anisotropy, whose readout of neuronal loss agrees with ADrp phenotype, and SNPrs2075650 is significantly altered in patients with ADrp-like phenotype. Conclusions: This new data analytic method demonstrates potential for increasing accuracy of Alzheimer diagnosis.