Publications by authors named "Valentino Bettinardi"

Article Synopsis
  • Tumor heterogeneity in high-grade gliomas (HGGs) presents significant clinical issues, but a new quantitative radiomic analysis using spatial tumor habitat clustering shows promise for understanding this complexity in a non-invasive way.
  • This study assesses an integrated approach using PET and MRI to evaluate tumor hypoxia, perfusion, and diffusion, creating a combined map for identifying intra-tumor heterogeneity in HGGs.
  • Results indicate that the spatial distribution of tumor habitats corresponds well with key morphological features and histopathological characteristics, suggesting this method enhances conventional imaging with useful insights into tumor microenvironments.
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  • The study aimed to explore how 18F-FDG PET/CT imaging can predict important pathological factors in gestational trophoblastic disease (GTD), including tumor type and FIGO score.
  • Researchers analyzed data from 24 patients who had PET/CT scans, measuring specific imaging parameters such as SUVmax, SUVmean, metabolic tumor volume (MTV), and total lesion glycolysis (TLG) to find correlations with tumor characteristics.
  • The results indicated that SUVmax and SUVmean are helpful in predicting tumor type, while TLG is valuable for assessing patient risk based on FIGO scores.
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Deep learning (DL) strategies applied to magnetic resonance (MR) images in positron emission tomography (PET)/MR can provide synthetic attenuation correction (AC) maps, and consequently PET images, more accurate than segmentation or atlas-registration strategies. As first objective, we aim to investigate the best MR image to be used and the best point of the AC pipeline to insert the synthetic map in. Sixteen patients underwent a 18F-fluorodeoxyglucose (FDG) PET/computed tomography (CT) and a PET/MR brain study in the same day.

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  • The study aims to see how well a special imaging method called 18F-FDG PET/MRI can help figure out how bad endometrial cancer (EC) is before surgery, focusing on deep tissue invasion and lymph node involvement.
  • Researchers looked at 35 patients with confirmed EC and compared the imaging results to actual tissue samples to see how accurate the imaging was.
  • The results showed that 18F-FDG PET/MRI was very good at detecting lymph node issues and deep tissue invasion in most patients, making it a helpful tool for doctors in staging endometrial cancer.
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The aim of the present study is to investigate and compare the performances of Ga-PSMA and Ga-DOTA-RM2 PET/MRI in identifying recurrent prostate cancer (PCa) after primary treatment and to explore the association of dual-tracer PET findings with clinical and histopathological characteristics. Thirty-five patients with biochemical relapse (BCR) of PCa underwent Ga PSMA PET/MRI for restaging purpose, with 31/35 also undergoing Ga-DOTA-RM2 PET/MRI scan within 16 days (mean: 3 days, range: 2-16 days). Qualitative and quantitative image analysis has been performed by comparing Ga-PSMA and Ga-DOTA-RM2 PET/MRI findings both on a patient and lesion basis.

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The aim of the present study is to investigate the synergic role of Ga-PSMA PET/MRI and Ga-DOTA-RM2 PET/MRI in prostate cancer (PCa) staging. We present pilot data on twenty-two patients with biopsy-proven PCa that underwent Ga-PSMA PET/MRI for staging purposes, with 19/22 also undergoing Gaa-DOTA-RM2 PET/MRI. TNM classification based on image findings was performed and quantitative imaging parameters were collected for each scan.

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We present the current clinical applications of radiomics in the context of prostate cancer (PCa) management. Several online databases for original articles using a combination of the following keywords: "(radiomic or radiomics) AND (prostate cancer or prostate tumour or prostate tumor or prostate neoplasia)" have been searched. The selected papers have been pooled as focus on (i) PCa detection, (ii) assessing the clinical significance of PCa, (iii) biochemical recurrence prediction, (iv) radiation-therapy outcome prediction and treatment efficacy monitoring, (v) metastases detection, (vi) metastases prediction, (vii) prediction of extra-prostatic extension.

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Purpose: Data-driven rigid motion estimation for PET brain imaging is usually performed using data frames sampled at low temporal resolution to reduce the overall computation time and to provide adequate signal-to-noise ratio in the frames. In recent work it has been demonstrated that list-mode reconstructions of ultrashort frames are sufficient for motion estimation and can be performed very quickly. In this work we take the approach of using image-based registration of reconstructions of very short frames for data-driven motion estimation, and optimize a number of reconstruction and registration parameters (frame duration, MLEM iterations, image pixel size, post-smoothing filter, reference image creation, and registration metric) to ensure accurate registrations while maximizing temporal resolution and minimizing total computation time.

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Background: To investigate the correlation between 18F-labeled fluoroazomycinarabinoside (18F-FAZA) PET data and hypoxia immunohistochemical markers in patients with high-grade glioma (HGG).

Patients And Methods: Prospective study including 20 patients with brain MRI suggestive for HGG and undergoing 18F-FAZA PET/CT before treatment for hypoxia assessment. For each 18F-FAZA PET scan SUVmax, SUVmean and 18F-FAZA tumour volume (FTV) at 40, 50 and 60% threshold of SUVmax were calculated; hypoxic volume was estimated by applying different thresholds (1.

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Purpose: To define an imaging risk profile in a population of patients affected by Pancreatic neuroendocrine neoplasms (PanNENs) candidates to surgery, by assessing the predictive role of 68Ga-DOTATOC and 18F-FDG PET/CT and PET/MR derived parameters in risk stratification, particularly regarding histological features of aggressive behaviour.

Patients And Methods: Retrospective study including 83 patients (53 males, 30 females; median age: 60 years, interquartile range 52-66.5), who underwent to 68Ga-DOTATOC (PET/CT: = 77; PET/MR: = 6) and, 68/83 patients, also to 18F-FDG PET (PET/CT: = 65; PET/MR: = 3) before surgery for PanNEN between 2011 and 2019, with available histological and follow-up data.

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Aim: To explore the potentiality of radiomics analysis, performed on Ga-DOTATOC and fluorine-18-fluorodeoxyglucose (F-FDG) PET/computed tomography (CT) images, in predicting tumour aggressiveness and outcome in patients candidate to surgery for pancreatic neuroendocrine neoplasms (PanNENs).

Patients And Methods: Retrospective study including 61 patients who underwent Ga-DOTATOC and F-FDG PET/CT before surgery for PanNEN. Semiquantitative variables [SUVmax and somatostatin receptor density (SRD) for Ga-DOTATOC PET; SUVmax and MTV for F-FDG PET] and texture features [intensity variability, size zone variability (SZV), zone percentage, entropy; homogeneity, dissimilarity and coefficient of variation (Co-V)] have been analysed to evaluate their possible role in predicting tumour characteristics.

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Purpose: To assess the value of 18F-Fluorodeoxyglucose (18F-FDG) PET Radiomic Features (RF) in predicting Distant Relapse Free Survival (DRFS) in patients with Locally AdvancedPancreaticCancer (LAPC) treated with radio-chemotherapy.

Materials & Methods: One-hundred-ninety-eight RFs were extracted using IBSI (Image Biomarker Standardization Initiative) consistent software from pre-radiotherapy images of 176 LAPC patients treated with moderate hypo-fractionation (44.25 Gy, 2.

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Standard clinical reconstructions usually require several minutes to complete, and this time is mostly independent of the duration of the data being reconstructed. Applications such as data-driven motion estimation, which require many short frames over the duration of the scan, become unfeasible with such long reconstruction times. In this work, we present an infrastructure whereby ultra-fast list-mode reconstructions of very short frames (≤1 s) are performed.

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Background: The accurate detection of nodal invasion is an unmet need in the clinical staging of renal cancer. Positron emission tomography (PET) with 18F-fluoroazomycin arabinoside (18F-FAZA), a hypoxia specific tracer, is a non-invasive imaging method that detects tumour hypoxia. The aim of this work was to evaluate the role of 18F-FAZA PET/CT in the identification of lymph node metastases in renal cancer.

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In the present case, we report the first experience of a patient with high-grade glioma who underwent dual F-FAZA PET/CT imaging for intratumoral hypoxia assessment, before treatment, and for therapy monitoring in the suspicious of recurrence, as part of a clinical research protocol. In addition, despite the diagnosis of glioblastoma, the patient at 3 years from diagnosis was alive and underwent C-methionine simultaneous PET/MRI for disease monitoring after treatment, showing stability of disease. The multitracer capability of PET in assessing different and complementary metabolic features along with the use of a last-generation scanner as PET/MRI in brain oncology are here enlighten.

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Background: We explored the relation between blood concentrations of monocyte/lymphocyte subsets and carotid artery plaque macrophage content, measured by positron emission tomography (PET) with C-PK11195.

Methods And Results: In 9 patients with carotid plaques we performed C-PK11195-PET/computed tomography angiography imaging and measurement of absolute concentrations and frequencies of circulating monocytes and T-cell subsets. Plaque standardized uptake value (SUV) for C-PK11195 was negatively correlated with concentrations of total monocytes (r = -0.

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The reference standard for spatial normalization of brain positron emission tomography (PET) images involves structural Magnetic Resonance Imaging (MRI) data. However, the lack of such structural information is fairly common in clinical settings. This might lead to lack of proper image quantification and to evaluation based only on visual ratings, which does not allow research studies or clinical trials based on quantification.

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Article Synopsis
  • The study looked at how accurate certain imaging features are when identifying tumors in head-and-neck and pancreatic cancer patients, especially since there can be differences in how doctors outline the tumors.
  • They found that using a semi-automatic method to outline tumors, called PET_Edge, gave more consistent results compared to a method based on a 40% threshold.
  • The results suggest that using PET_Edge can help reduce errors in tumor measurements and might be a good alternative to older manual methods in future studies.
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Objective: Postmortem studies reported significant microglia activation in association with neuronal apoptosis in Fatal Familial Insomnia (FFI), indicating a specific glial response, but negative evidence also exists. An in vivo study of local immune responses over FFI natural course may contribute to the understanding of the underlying pathogenesis.

Methods: We included eight presymptomatic subjects (mean ± SD age:44.

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  • The study aimed to evaluate the effectiveness of 18F-FAZA PET/CT in detecting hypoxic areas in early and locally advanced non-small cell lung cancer (NSCLC) and compared it with 18F-FDG PET/CT and histopathological markers.
  • A total of seven NSCLC patients participated in the study, undergoing both types of PET/CT scans before surgery to assess tumor uptake and determine hypoxia levels using T/B and T/M ratios.
  • The results showed that while 18F-FDG had high uptake in all patients, 18F-FAZA exhibited faint uptake in most, and immunohistochemical analysis showed variable hypoxia marker expression, indicating differing levels of tumor hypoxia among patients
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A 57 year-old man underwent MRI with dynamic susceptibility contrast and dynamic contrast-enhanced perfusion for neurological symptoms suggesting the diagnosis of high-grade glioma. A F-FAZA PET/CT was performed because of the enrollment in a prospective clinical trial. Subsequent radiotherapy treatment has been planned based on conventional imaging; moreover, a F-FAZA PET/CT-guided treatment planning highlighting hypoxic regions has been simulated.

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Purpose: The aim of the present study was to evaluate the added diagnostic value of respiratory-gated 4D18F-FDG PET/CT in liver lesion detection and characterization in a European multicenter retrospective study.

Methods: Fifty-six oncological patients (29 males and 27 females, mean age, 61.2 ± 11.

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Assessments of brain glucose metabolism (18F-FDG-PET) and cerebral amyloid burden (11C-PiB-PET) in mild cognitive impairment (MCI) have shown highly variable performances when adopted to predict progression to dementia due to Alzheimer's disease (ADD). This study investigates, in a clinical setting, the separate and combined values of 18F-FDG-PET and 11C-PiB-PET in ADD conversion prediction with optimized data analysis procedures. Respectively, we investigate the accuracy of an optimized SPM analysis for 18F-FDG-PET and of standardized uptake value ratio semiquantification for 11C-PiB-PET in predicting ADD conversion in 30 MCI subjects (age 63.

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A 76-year-old man underwent F-FDG PET/CT to complete staging and characterize a suspicious lung mass. Images showed intense uptake in the lung lesion and faint uptake in correspondence of a gastric mass, which was subsequently biopsied revealing a gastrointestinal stromal tumor. A F-FAZA PET/CT was also performed because of patient's enrollment in a prospective clinical trial (trial registration no.

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