Training improves the interobserver agreement of the expert positron emission tomography review panel in primary mediastinal B-cell lymphoma: interim analysis in the ongoing International Extranodal Lymphoma Study Group-37 study

The International Extranodal Lymphoma Study Group (IELSG)-37 is a prospective randomized trial assessing the role of consolidation mediastinal radiotherapy after immunochemotherapy to patients with newly diagnosed primary mediastinal large B-cell lymphoma (PMBCL). It is a positron emission tomography (PET) response-guided study where patients obtaining a complete metabolic response on an end-of-therapy PET-computed tomography (CT) scan evaluated by a central review are randomized to receive radiotherapy or no further treatment. The aims of this study were to measure agreement between reviewers reporting PET-CT scans for this trial and to determine the effect of training upon concordance rates. The review panel comprised 6 experienced nuclear physicians who read PET-CT scans using the 5-point Deauville scale. Interobserver agreement (IOA) was measured at 4 time points: after a blinded review of a "training set" of 20 patients with PMBCL from the previous IELSG-26 study (phase 1); after the first 10 clinical cases enrolled in the IELSG-37 (phase 2); and after 2 further groups of 50 (phase 3) and 40 clinical cases (phase 4). After feedback from the training set and the first 10 cases, a meeting was held to discuss interpretation, and a detailed set of instructions for the review procedure was agreed and acted upon. Between 2012 and 2014, the first 100 patients were reviewed. Using Deauville score 3 as the cutoff for a complete metabolic response, the overall IOA among the reviewers was good (Krippendorff α = 0.72.) The binary concordance between pairs of reviewers (Cohen κ) ranged from 0.60 to 0.78. The IOA, initially moderate, improved progressively from phase 1 to 4 (Krippendorff α from 0.53 to 0.81; Cohen κ from 0.35-0.72 to 0.77-0.87). Our experience indicates that the agreement among "expert" nuclear physicians reporting PMBCL, even using standardized criteria, was only moderate when the study began. However, agreement improved using a harmonization process, which included a training exercise with discussion of points leading to disagreement and compiling practical rules to sit alongside commonly adopted interpretation criteria.</p

Random survival forest to predict transplant-eligible newly diagnosed multiple myeloma outcome including FDG-PET radiomics: a combined analysis of two independent prospective European trials

International audiencePurpose: Fluorodeoxyglucose-positron emission tomography/computed tomography (FDG-PET/CT) is included in the International Myeloma Working Group (IMWG) imaging guidelines for the work-up at diagnosis and the follow-up of multiple myeloma (MM) notably because it is a reliable tool as a predictor of prognosis. Nevertheless, none of the published studies focusing on the prognostic value of PET-derived features at baseline consider tumor heterogeneity, which could be of high importance in MM. The aim of this study was to evaluate the prognostic value of baseline PET-derived features in transplant-eligible newly diagnosed (TEND) MM patients enrolled in two prospective independent European randomized phase III trials using an innovative statistical random survival forest (RSF) approach.Methods: Imaging ancillary studies of IFM/DFCI2009 and EMN02/HO95 trials formed part of the present analysis (IMAJEM and EMN02/HO95, respectively). Among all patients initially enrolled in these studies, those with a positive baseline FDG-PET/CT imaging and focal bone lesions (FLs) and/or extramedullary disease (EMD) were included in the present analysis. A total of 17 image features (visual and quantitative, reflecting whole imaging characteristics) and 5 clinical/histopathological parameters were collected. The statistical analysis was conducted using two RSF approaches (train/validation + test and additional nested cross-validation) to predict progression-free survival (PFS).Results: One hundred thirty-nine patients were considered for this study. The final model based on the first RSF (train/validation + test) approach selected 3 features (treatment arm, hemoglobin, and SUVmaxBone Marrow (BM)) among the 22 involved initially, and two risk groups of patients (good and poor prognosis) could be defined with a mean hazard ratio of 4.3 ± 1.5 and a mean log-rank p value of 0.01 ± 0.01. The additional RSF (nested cross-validation) analysis highlighted the robustness of the proposed model across different splits of the dataset. Indeed, the first features selected using the train/validation + test approach remained the first ones over the folds with the nested approach.Conclusion: We proposed a new prognosis model for TEND MM patients at diagnosis based on two RSF approaches.Trial registration: IMAJEM: NCT01309334 and EMN02/HO95: NCT01134484

Recent developments in Geant4

Geant4 is a software toolkit for the simulation of the passage of particles through matter. It is used by a large number of experiments and projects in a variety of application domains, including high energy physics, astrophysics and space science, medical physics and radiation protection. Over the past several years, major changes have been made to the toolkit in order to accommodate the needs of these user communities, and to efficiently exploit the growth of computing power made available by advances in technology. The adaptation of Geant4 to multithreading, advances in physics, detector modeling and visualization, extensions to the toolkit, including biasing and reverse Monte Carlo, and tools for physics and release validation are discussed here.ISSN:0168-9002ISSN:1872-957

Recent Improvements in Geant4 Electromagnetic Physics Models and Interfaces

An overview of the electromagnetic (EM) physics of the Geant4 toolkit is presented Two sets of EM models are available: the 'Standard' initially focused on high energy physics (HEP) while the 'Low-energy' was developed for medical, space and other applications The 'Standard' models provide a faster computation but are less accurate for keV energies, the 'Low-energy' models are more CPU time consuming A common interface to EM physics models has been developed allowing a natural combination of ultra-relativistic, relativistic and low-energy models for the same run providing both precision and CPU performance Due to this migration additional capabilities become available The new developments include relativistic models for bremsstrahlung and e+e- pair production, models of multiple and single scattering, hadron/ion ionization, microdosimetry for very low energies and also improvements in existing Geant4 models In parallel, validation suites and benchmarks have been intensively developed (author