Proton-driven plasma wakefield acceleration in AWAKE.

In this article, we briefly summarize the experiments performed during the first run of the Advanced Wakefield Experiment, AWAKE, at CERN (European Organization for Nuclear Research). The final goal of AWAKE Run 1 (2013-2018) was to demonstrate that 10-20 MeV electrons can be accelerated to GeV energies in a plasma wakefield driven by a highly relativistic self-modulated proton bunch. We describe the experiment, outline the measurement concept and present first results. Last, we outline our plans for the future. This article is part of the Theo Murphy meeting issue 'Directions in particle beam-driven plasma wakefield acceleration'.

Experimental Observation of Proton Bunch Modulation in a Plasma at Varying Plasma Densities.

We give direct experimental evidence for the observation of the full transverse self-modulation of a long, relativistic proton bunch propagating through a dense plasma. The bunch exits the plasma with a periodic density modulation resulting from radial wakefield effects. We show that the modulation is seeded by a relativistic ionization front created using an intense laser pulse copropagating with the proton bunch. The modulation extends over the length of the proton bunch following the seed point. By varying the plasma density over one order of magnitude, we show that the modulation frequency scales with the expected dependence on the plasma density, i.e., it is equal to the plasma frequency, as expected from theory.

Experimental Observation of Plasma Wakefield Growth Driven by the Seeded Self-Modulation of a Proton Bunch.

We measure the effects of transverse wakefields driven by a relativistic proton bunch in plasma with densities of 2.1×10^{14} and 7.7×10^{14} electrons/cm^{3}. We show that these wakefields periodically defocus the proton bunch itself, consistently with the development of the seeded self-modulation process. We show that the defocusing increases both along the bunch and along the plasma by using time resolved and time-integrated measurements of the proton bunch transverse distribution. We evaluate the transverse wakefield amplitudes and show that they exceed their seed value (<15 MV/m) and reach over 300 MV/m. All these results confirm the development of the seeded self-modulation process, a necessary condition for external injection of low energy and acceleration of electrons to multi-GeV energy levels.

Predicting locally advanced rectal cancer response to neoadjuvant therapy with 18F-FDG PET and MRI radiomics features.

PURPOSE: Pathological complete response (pCR) following neoadjuvant chemoradiotherapy or radiotherapy in locally advanced rectal cancer (LARC) is reached in approximately 15-30% of cases, therefore it would be useful to assess if pretreatment of 18F-FDG PET/CT and/or MRI texture features can reliably predict response to neoadjuvant therapy in LARC. METHODS: Fifty-two patients were dichotomized as responder (pR+) or non-responder (pR-) according to their pathological tumor regression grade (TRG) as follows: 22 as pR+ (nine with TRG = 1, 13 with TRG = 2) and 30 as pR- (16 with TRG = 3, 13 with TRG = 4 and 1 with TRG = 5). First-order parameters and 21 second-order texture parameters derived from the Gray-Level Co-Occurrence matrix were extracted from semi-automatically segmented tumors on T2w MRI, ADC maps, and PET/CT acquisitions. The role of each texture feature in predicting pR+ was assessed with monoparametric and multiparametric models. RESULTS: In the mono-parametric approach, PET homogeneity reached the maximum AUC (0.77; sensitivity = 72.7% and specificity = 76.7%), while PET glycolytic volume and ADC dissimilarity reached the highest sensitivity (both 90.9%). In the multiparametric analysis, a logistic regression model containing six second-order texture features (five from PET and one from T2w MRI) yields the highest predictivity in distinguish between pR+ and pR- patients (AUC = 0.86; sensitivity = 86%, and specificity = 83% at the Youden index). CONCLUSIONS: If preliminary results of this study are confirmed, pretreatment PET and MRI could be useful to personalize patient treatment, e.g., avoiding toxicity of neoadjuvant therapy in patients predicted pR-.

Acceleration of electrons in the plasma wakefield of a proton bunch.

High-energy particle accelerators have been crucial in providing a deeper understanding of fundamental particles and the forces that govern their interactions. To increase the energy of the particles or to reduce the size of the accelerator, new acceleration schemes need to be developed. Plasma wakefield acceleration1-5, in which the electrons in a plasma are excited, leading to strong electric fields (so called 'wakefields'), is one such promising acceleration technique. Experiments have shown that an intense laser pulse6-9 or electron bunch10,11 traversing a plasma can drive electric fields of tens of gigavolts per metre and above-well beyond those achieved in conventional radio-frequency accelerators (about 0.1 gigavolt per metre). However, the low stored energy of laser pulses and electron bunches means that multiple acceleration stages are needed to reach very high particle energies5,12. The use of proton bunches is compelling because they have the potential to drive wakefields and to accelerate electrons to high energy in a single acceleration stage13. Long, thin proton bunches can be used because they undergo a process called self-modulation14-16, a particle-plasma interaction that splits the bunch longitudinally into a series of high-density microbunches, which then act resonantly to create large wakefields. The Advanced Wakefield (AWAKE) experiment at CERN17-19 uses high-intensity proton bunches-in which each proton has an energy of 400 gigaelectronvolts, resulting in a total bunch energy of 19 kilojoules-to drive a wakefield in a ten-metre-long plasma. Electron bunches are then injected into this wakefield. Here we present measurements of electrons accelerated up to two gigaelectronvolts at the AWAKE experiment, in a demonstration of proton-driven plasma wakefield acceleration. Measurements were conducted under various plasma conditions and the acceleration was found to be consistent and reliable. The potential for this scheme to produce very high-energy electron bunches in a single accelerating stage20 means that our results are an important step towards the development of future high-energy particle accelerators21,22.

Quality indicators in the intensity modulated/image-guided radiotherapy era.

PURPOSE: To propose new Quality Indicators (QIs) for the Intensity Modulated(IMRT)/Image-Guided(IGRT) Radiotherapy techniques. MATERIALS AND METHODS: Two structure, 10 process and 2 outcome QIs were elaborated. A working group including Radiation Oncologist, Medical Physicist and Radiation Technologists was made up. A preliminary set of indicators was selected on the basis of evidenced critical issues; the criteria to identify more relevant and specific QIs for IMRT/IGRT were defined; structure, process and outcome QIs were defined. The elaborated indicators were tested in four Italian Radiotherapy Centers. RESULTS: Fourteen indicators were proposed. Seven indicators were completely new while a new standard is proposed for four indicators based on Validation Centers (VC) data. No change was reported for 3 indicators. The indicators were applied in the four VC. The VC considered were able to respect all indicators except indicator 2 for one Center. DISCUSSION AND CONCLUSION: QIs may provide useful measures of workload and service performances.

CDKN2A and BAP1 germline mutations predispose to melanoma and mesothelioma.

BAP1 germline mutations predispose to a cancer predisposition syndrome that includes mesothelioma, cutaneous melanoma, uveal melanoma and other cancers. This co-occurrence suggests that these tumors share a common carcinogenic pathway. To evaluate this hypothesis, we studied 40 Italian families with mesothelioma and/or melanoma. The probands were sequenced for BAP1 and for the most common melanoma predisposition genes (i.e. CDKN2A, CDK4, TERT, MITF and POT1) to investigate if these genes may also confer susceptibility to mesothelioma. In two out of six families with both mesothelioma and melanoma we identified either a germline nonsense mutation (c.1153C > T, p.Arg385*) in BAP1 or a recurrent pathogenic germline mutation (c.301G > T, p.Gly101Trp) in CDKN2A. Our study suggests that CDKN2A, in addition to BAP1, could be involved in the melanoma and mesothelioma susceptibility, leading to the rare familial cancer syndromes. It also suggests that these tumors share key steps that drive carcinogenesis and that other genes may be involved in inherited predisposition to malignant mesothelioma and melanoma.

An Adaptive Thresholding Method for BTV Estimation Incorporating PET Reconstruction Parameters: A Multicenter Study of the Robustness and the Reliability.

OBJECTIVE: The aim of this work was to assess robustness and reliability of an adaptive thresholding algorithm for the biological target volume estimation incorporating reconstruction parameters. METHOD: In a multicenter study, a phantom with spheres of different diameters (6.5-57.4 mm) was filled with (18)F-FDG at different target-to-background ratios (TBR: 2.5-70) and scanned for different acquisition periods (2-5 min). Image reconstruction algorithms were used varying number of iterations and postreconstruction transaxial smoothing. Optimal thresholds (TS) for volume estimation were determined as percentage of the maximum intensity in the cross section area of the spheres. Multiple regression techniques were used to identify relevant predictors of TS. RESULTS: The goodness of the model fit was high (R(2): 0.74-0.92). TBR was the most significant predictor of TS. For all scanners, except the Gemini scanners, FWHM was an independent predictor of TS. Significant differences were observed between scanners of different models, but not between different scanners of the same model. The shrinkage on cross validation was small and indicative of excellent reliability of model estimation. CONCLUSIONS: Incorporation of postreconstruction filtering FWHM in an adaptive thresholding algorithm for the BTV estimation allows obtaining a robust and reliable method to be applied to a variety of different scanners, without scanner-specific individual calibration.

Choline-containing compounds quantification by 1H NMR spectroscopy using external reference and noise measurements.

Proton magnetic resonance spectroscopy ((1)H-MRS) is largely exploited in clinical settings to non-invasively investigate chemical compounds in human tissues. Applications of (1)H-MRS in oncology field are connected to the detection of abnormal levels of choline compounds in more active tumours, providing useful information for cancer diagnosis and treatment monitoring. Since benign lesions may also show presence of a choline peak, implementing absolute evaluation will help differentiating benign from malignant tumours. An external reference procedure was described to provide choline quantification in standard unit of measurements. Spectra were acquired on a 1.5 T scanner using both phantoms and healthy volunteers with a PRESS sequence. The implemented quantification procedure used metabolite and noise measurements on the spectrum to remove large part of scanner settings contributing to metabolites of interest. A standard quantification was also used to compare performances of the noise-based method. In vitro quantification had accuracy and precision in the range (95-99)% and (5-13)%, respectively. When applied to in vivo studies on healthy volunteers, the method provided very close values of choline concentration, more exactly (1.73 ± 0.24) mmol/l. The method proposed can quantify the proper choline content in phantoms as well as in human structures, as brain. The method is ease of use, computational costless and it can be rapidly calibrated and implemented in any centre.

Comparison between PUN and Tofts models in the quantification of dynamic contrast-enhanced MR imaging.

Dynamic contrast-enhanced study in magnetic resonance imaging (DCE-MRI) is an important tool in oncology to visualize tissues vascularization and to define tumour aggressiveness on the basis of an altered perfusion and permeability. Pharmacokinetic models are generally used to extract hemodynamic parameters, providing a quantitative description of the contrast uptake and wash-out. Empirical functions can also be used to fit experimental data without the need of any assumption about tumour physiology, as in pharmacokinetic models, increasing their diagnostic utility, in particular when automatic diagnosis systems are implemented on the basis of an MRI multi-parametric approach. Phenomenological universalities (PUN) represent a novel tool for experimental research and offer a simple and systematic method to represent a set of data independent of the application field. DCE-MRI acquisitions can thus be advantageously evaluated by the extended PUN class, providing a convenient diagnostic tool to analyse functional studies, adding a new set of features for the classification of malignant and benign lesions in computer aided detection systems. In this work the Tofts pharmacokinetic model and the class EU1 generated by the PUN description were compared in the study of DCE-MRI of the prostate, evaluating complexity of model implementation, goodness of fitting results, classification performances and computational cost. The mean R² obtained with the EU1 and Tofts model were equal to 0.96 and 0.90, respectively, and the classification performances achieved by the EU1 model and the Tofts implementation discriminated malignant from benign tissues with an area under the receiver operating characteristic curve equal to 0.92 and 0.91, respectively. Furthermore, the EU1 model has a simpler functional form which reduces implementation complexity and computational time, requiring 6 min to complete a patient elaboration process, instead of 8 min needed for the Tofts model analysis.

Computer-aided diagnosis for dynamic contrast-enhanced breast MRI of mass-like lesions using a multiparametric model combining a selection of morphological, kinetic, and spatiotemporal features.

PURPOSE: Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a radiological tool for the detection and discrimination of breast lesions. The aim of this study is to evaluate a computer-aided diagnosis (CAD) system for discriminating malignant from benign breast lesions at DCE-MRI by the combined use of morphological, kinetic, and spatiotemporal lesion features. METHODS: Fifty-four malignant and 19 benign breast lesions in 51 patients were retrospectively evaluated. Images were acquired at two centers at 1.5 T. Mass-like lesions were automatically segmented after image normalization and elastic coregistration of contrast-enhanced frames. For each lesion, a set of 28 3D features were extracted: ten morphological (related to shape, margins, and internal enhancement distribution); nine kinetic (computed from signal-to-time curves); and nine spatiotemporal (related to the variation of the signal between adjacent frames). A support vector machine (SVM) was trained with feature subsets selected by a genetic search. Best subsets were composed of the most frequent features selected by majority rule. The performance was measured by receiver operator characteristics analysis with a stratified tenfold cross-validation and bootstrap method for confidence intervals. RESULTS: SVM training by the three separated classes of features resulted in an area under the curve (AUC) of 0.90 ± 0.04 (mean ± standard deviation), 0.87 ± 0.06, and 0.86 ± 0.06 for morphological, kinetic, and spatiotemporal feature, respectively. Combined training with all 28 features resulted in AUC of 0.96 ± 0.02 obtained with a selected feature subset composed by two morphological, one kinetic, and two spatiotemporal features. CONCLUSIONS: Quantitative combination of morphological, kinetic, and spatiotemporal features is feasible and provides a higher discriminating power than using the three different classes of features separately.

Early stratification of patients with chest pain and suspected acute coronary syndrome in the Emergency Department.

AIM: The aim of this study was to investigate the accuracy of a critical pathway in the early stratification and management of patients with chest pain and suspected acute coronary syndrome (ACS) in the Emergency Department (ED). METHODS: An observational study was performed enrolling all patients with non-traumatic chest pain and suspected ACS who presented during a one-year period in the ED, where a critical pathway with five-level risk stratification, based on risk factors, characteristics of pain and ECG, was implemented. Patients were prospectively evaluated for rates of death, unstable angina, myocardial infarction or revascularization procedure occurring during admission or in the 30 days following discharge from the ED. Receiver-Operating Characteristics (ROC) curve was used to measure the accuracy of the stratification method. RESULTS: Overall, 1813 patients were enrolled: 475 patients (26.1%, 95% CI: 24.0-28.1 ) were admitted and 1338 (73.8%, 95% CI: 71.7-75.8) were discharged. Main outcomes occurred in 233 (49.9%, 95% CI: 47.5-52.2) of patients admitted and in 6 (0.4%, 95% CI: 0.06-0.7) of those discharged. The risk stratification system showed a good accuracy with an AUC-ROC curve of 0.90 (95% CI: 0.88-0.93). A total of 1541 (85%) patients were managed according to critical pathway. Adverse events were significantly fewer in patients discharged according to pathway criteria than in those who were not (0.27% vs. 1.37%, difference: 1.1% CI 95%: 0.06-2.1), without significant increase of inappropriate admissions. CONCLUSION: A critical pathway, based on clinical and ECG features, is a safe and accurate tool to stratify and manage the patients with non-traumatic chest pain and suspected ACS in the ED.

Vertebroplasty in the treatment of osteoporosis vertebral fractures: report on 52 cases.

BACKGROUND: Percutaneous vertebroplasty (PV) is largely employed in vertebral body compression fractures (VCF). PURPOSE: To evaluate the efficacy of PV on pain relief and functional status, and its complications rate. MATERIALS AND METHODS: A prospective observational study was conducted by the Division of Internal Medicine of St. Croce and Carle Hospital. INCLUSION CRITERIA: Diagnosis of osteoporosis, intense back pain, unresponsive to conservative treatment, associated with radiological evidence of recent VCF. Pain control and functional improvement were respectively assessed using Visual Analogue Scale (VAS) and Activity of Daily Living scale (ADL) on admission, 24 h after PV and at follow-up. PV complications were detected by an immediate computed tomography (CT) scan on the vertebra treated as well as the vertebrae above and below the treated level(s) and by CT chest scan to exclude pulmonary emboli. A magnetic resonance imaging (MRI) follow-up at 6 or 12 months was performed. RESULTS: Fifty-two (46 with primary osteoporosis) patients were enrolled (mean age 73.18 yr, range 44-92). Median follow-up was 20.4 months (range 6-24). Treated vertebrae were 124. VAS, mean value was 9.05 (range 6-10) before treatment, 5.95 (range 2-8) at 24 h after PV and 4.94 (range 2-9) at follow-up (p<0.001). Before PV, 18 patients (34.6%) were functionally impaired vs 8 patients (15.3%) at follow-up (p<0.003). Control MRI evidenced 9 (17.3%) new VCF adjacent and 13 (25%) non-adjacent to treated vertebras. There was one case of discitis. Seven cases (13%) of cement leakage in para-vertebral space were observed. CONCLUSION: PV is safe and effective in immediate pain reduction and functional improvement and at a median term follow-up.

Visualization of quantitative breast DCE-MRI functional parametric maps by dedicated image processing.

DCE-MRI is a diagnostic method that can visualize neoangiogenic-induced vascular changes. Typically, the analysis of these data is time-consuming and the visualization of the quantitative information on tumor vasculature, derivable from DCE-MRI, is not easy and comfortable. In this study, we propose a method to accelerate computation and analysis of DCE-MRI data, while making easy to use the functional information obtained from model-based functional analysis.

Age-related differences in erythropoietic response to recombinant human erythropoietin: comparison in adult and infant rhesus monkeys.

Human recombinant erythropoietin (r-HuEPO) was given i.v. to rhesus monkeys to compare its safety, erythropoietic effects, and pharmacokinetics in healthy adult and infant animals. Eighteen adult and 18 infant (9- to 15-d-old) monkeys were divided into three groups each of six animals. One group was given 250 U/kg twice weekly, another was given 100 U/kg twice weekly, and a control group was given the drug vehicle for 6 wk. All animals were healthy throughout this period, and for 10 wk after that. Administration of r-HuEPO at these dosages did not produce any changes in leukocytes, platelets, urea nitrogen, bilirubin, creatinine, alkaline phosphatase, alanine amino transferase, gamma-glutamyl transferase, and blood pressure in either age group. At 6 wk, both adult treatment groups had statistically significant increases in Hb concentration. The same dosages that produced these increases in Hb concentration in adults produced no changes in Hb concentration in infant monkeys. Despite active erythropoiesis, as determined by reticulocytosis and increased total body Hb, Hb concentration decreased similarly in the infant treatment and control groups. Pharmacokinetic profiles were obtained at 5 wk of dosing. One h after administration, both doses of r-HuEPO produced significantly lower serum r-HuEPO concentration in the infant monkeys compared with the adults. These differences appeared to be due to a larger volume of distribution of r-HuEPO in the infant monkeys. The t1/2 of r-HuEPO in circulation was the same in both age groups.