Chest CT at a dose below 0.3 mSv : impact of iterative reconstruction on image quality and lung analysis

Le nombre d'examens tomodensitométriques (Computed Tomography, CT) effectués chaque année étant en constante augmentation, différentes techniques d'optimisation, dont les algorithmes de reconstruction itérative permettant de réduire le bruit tout en maintenant la résolution spatiale, ont étés développées afin de réduire les doses délivrées. Le but de cette étude était d'évaluer l'impact des algorithmes de reconstruction itérative sur la qualité image à des doses effectives inférieures à 0.3 mSv, comparables à celle d'une radiographie thoracique. Vingt CT thoraciques effectués à cette dose effective ont été reconstruits en variant trois paramètres: l'algorithme de reconstruction, rétroprojection filtrée versus reconstruction itérative iDose4; la matrice, 5122 versus 7682; et le filtre de résolution en densité (mou) versus spatiale (dur). Ainsi, 8 séries ont été reconstruites pour chacun des 20 CT thoraciques. La qualité d'image de ces 8 séries a d'abord été évaluée qualitativement par deux radiologues expérimentés en aveugle en se basant sur la netteté des parois bronchiques et de l'interface entre le parenchyme pulmonaire et les vaisseaux, puis quantitativement en utilisant une formule de merit, fréquemment utilisée dans le développement de nouveaux algorithmes et filtres de reconstruction. La performance diagnostique de la meilleure série acquise à une dose effective inférieure à 0.3 mSv a été comparée à celle d'un CT de référence effectué à doses standards en relevant les anomalies du parenchyme pulmonaire. Les résultats montrent que la meilleure qualité d'image, tant qualitativement que quantitativement a été obtenue en utilisant iDose4, la matrice 5122 et le filtre mou, avec une concordance parfaite entre les classements quantitatif et qualitatif des 8 séries. D'autre part, la détection des nodules pulmonaires de plus de 4mm étaient similaire sur la meilleure série acquise à une dose effective inférieure à 0.3 mSv et le CT de référence. En conclusion, les CT thoraciques effectués à une dose effective inférieure à 0.3 mSv reconstruits avec iDose4, la matrice 5122 et le filtre mou peuvent être utilisés avec confiance pour diagnostiquer les nodules pulmonaires de plus de 4mm.

Prediction of multiple infections after severe burn trauma: a prospective cohort study.

OBJECTIVE: To develop predictive models for early triage of burn patients based on hypersusceptibility to repeated infections. BACKGROUND: Infection remains a major cause of mortality and morbidity after severe trauma, demanding new strategies to combat infections. Models for infection prediction are lacking. METHODS: Secondary analysis of 459 burn patients (≥16 years old) with 20% or more total body surface area burns recruited from 6 US burn centers. We compared blood transcriptomes with a 180-hour cutoff on the injury-to-transcriptome interval of 47 patients (≤1 infection episode) to those of 66 hypersusceptible patients [multiple (≥2) infection episodes (MIE)]. We used LASSO regression to select biomarkers and multivariate logistic regression to built models, accuracy of which were assessed by area under receiver operating characteristic curve (AUROC) and cross-validation. RESULTS: Three predictive models were developed using covariates of (1) clinical characteristics; (2) expression profiles of 14 genomic probes; (3) combining (1) and (2). The genomic and clinical models were highly predictive of MIE status [AUROCGenomic = 0.946 (95% CI: 0.906-0.986); AUROCClinical = 0.864 (CI: 0.794-0.933); AUROCGenomic/AUROCClinical P = 0.044]. Combined model has an increased AUROCCombined of 0.967 (CI: 0.940-0.993) compared with the individual models (AUROCCombined/AUROCClinical P = 0.0069). Hypersusceptible patients show early alterations in immune-related signaling pathways, epigenetic modulation, and chromatin remodeling. CONCLUSIONS: Early triage of burn patients more susceptible to infections can be made using clinical characteristics and/or genomic signatures. Genomic signature suggests new insights into the pathophysiology of hypersusceptibility to infection may lead to novel potential therapeutic or prophylactic targets.

Intracranial Aneurysms: Wall Motion Analysis for Prediction of Rupture.

Intracranial aneurysms are a common pathologic condition with a potential severe complication: rupture. Effective treatment options exist, neurosurgical clipping and endovascular techniques, but guidelines for treatment are unclear and focus mainly on patient age, aneurysm size, and localization. New criteria to define the risk of rupture are needed to refine these guidelines. One potential candidate is aneurysm wall motion, known to be associated with rupture but difficult to detect and quantify. We review what is known about the association between aneurysm wall motion and rupture, which structural changes may explain wall motion patterns, and available imaging techniques able to analyze wall motion.

Validation of and comparison between a semidistributed rainfall-runoff hydrological model (PREVAH) and a spatially distributed snow-evolution model (SnowModel) for snow cover prediction in mountain ecosystems

Snow cover is an important control in mountain environments and a shift of the snow-free period triggered by climate warming can strongly impact ecosystem dynamics. Changing snow patterns can have severe effects on alpine plant distribution and diversity. It thus becomes urgent to provide spatially explicit assessments of snow cover changes that can be incorporated into correlative or empirical species distribution models (SDMs). Here, we provide for the first time a with a lower overestimation comparison of two physically based snow distribution models (PREVAH and SnowModel) to produce snow cover maps (SCMs) at a fine spatial resolution in a mountain landscape in Austria. SCMs have been evaluated with SPOT-HRVIR images and predictions of snow water equivalent from the two models with ground measurements. Finally, SCMs of the two models have been compared under a climate warming scenario for the end of the century. The predictive performances of PREVAH and SnowModel were similar when validated with the SPOT images. However, the tendency to overestimate snow cover was slightly lower with SnowModel during the accumulation period, whereas it was lower with PREVAH during the melting period. The rate of true positives during the melting period was two times higher on average with SnowModel with a lower overestimation of snow water equivalent. Our results allow for recommending the use of SnowModel in SDMs because it better captures persisting snow patches at the end of the snow season, which is important when modelling the response of species to long-lasting snow cover and evaluating whether they might survive under climate change.

Prediction of Complications After Pancreaticoduodenectomy: Validation of a Postoperative Complication Score.

OBJECTIVES: Pancreatic surgery remains associated with important morbidity. Efforts are most commonly concentrated on decreasing postoperative morbidity, but early detection of patients at risk could be another valuable strategy. A simple prognostic score has recently been published. This study aimed to validate this score and discuss possible clinical implications. METHODS: From 2000 to 2012, 245 patients underwent a pancreaticoduodenectomy. Complications were graded according to the Dindo-Clavien Classification. The Braga score is based on American Society of Anesthesiologists score, pancreatic texture, Wirsung duct diameter, and blood loss. An overall risk score (0-15) can be calculated for each patient. Score discriminant power was calculated using a receiver operating characteristic curve. RESULTS: Major complications occurred in 31% of patients compared with 17% in Braga's data. Pancreatic texture and blood loss were independently statistically significant for increased morbidity. Areas under the curve were 0.95 and 0.99 for 4-risk categories and for individual scores, respectively. CONCLUSIONS: The Braga score discriminates well between minor and major complications. Our validation suggests that it can be used as a prognostic tool for major complications after pancreaticoduodenectomy. The clinical implications, that is, whether postoperative treatment strategies should be adapted according to the patient's individual risk, remain to be elucidated.

Why and how would we implement a lung cancer screening program?

For decades, lung cancer has been the most common cancer in terms of both incidence and mortality. There has been very little improvement in the prognosis of lung cancer. Early treatment following early diagnosis is considered to have potential for development. The National Lung Screening Trial (NLST), a large, well-designed randomized controlled trial, evaluated low-dose computed tomography (LDCT) as a screening tool for lung cancer. Compared with chest X-ray, annual LDCT screening reduced death from lung cancer and overall mortality by 20 and 6.7 %, respectively, in high-risk people aged 55-74 years. Several smaller trials of LDCT screening are under way, but none are sufficiently powered to detect a 20 % reduction in lung cancer death. Thus, it is very unlikely that the NLST results will be replicated. In addition, the NLST raises several issues related to screening, such as the high false-positive rate, overdiagnosis and cost. Healthcare providers and systems are now left with the question of whether the available findings should be translated into practice. We present the main reasons for implementing lung cancer screening in high-risk adults and discuss the main issues related to lung cancer screening. We stress the importance of eligibility criteria, smoking cessation programs, primary care physicians, and informed-decision making should lung cancer screening be implemented. Seven years ago, we were waiting for the results of trials. Such evidence is now available. Similar to almost all other cancer screens, uncertainties exist and persist even after recent scientific efforts and data. We believe that by staying within the characteristics of the original trial and appropriately sharing the evidence as well as the uncertainties, it is reasonable to implement a LDCT lung cancer screening program for smokers and former smokers.

Non-small cell lung cancer: the prevalence of oncogenic driver mutations in Switzerland

Background. Predictive molecular marker analyses are standard of care in order to select non-small cell lung cancer (NSCLC) patients for targeted therapies. The aim of this study was to determine the prevalence of targetable oncogenic driver mutations including EGFR, KRAS, BRAF, HER2, ALK and ROS1 in Switzerland. Methods. Eight Swiss pathology institutions provided retrospective and anonymized data on their predictive molecular marker results performed on NSCLC from January 2012 to December 2014. Clinico-pathological data were recorded including age, gender, histological NSCLC-subtype and specimen type (biopsy, conventional cytology and cell block, respectively) used for molecular analyses. The prevalence of oncogenic mutations were calculated and compared between the centres. Results. A total of 4187 NSCLC were included into the study. The median age was 67 years and 55% were male patients. The tumor specimens for molecular analysis were mostly derived from biopsies (69%), 26% were from conventional cytology specimens and only in 5% from cell blocks. The most prevalent gene mutation was KRAS with 30.6% (range: 27.3-33.9%), followed by EGFR, BRAF and HER2 mutations in 12.2% (range: 10.2-13.1%), 3.9% (range: 2.5-5.6%) and 1.1% (range: 0.9-4.0%), respectively, without significant differences between the eight centers. Concomitant EGFR and KRAS mutations were detected in only 3/2027 NSCLC. In contrast the prevalence of ALK (mean 6.5%, range: 2.8-11.7%) and ROS1 (mean 2.4%, range: 1.5-6.2%) rearrangements varied significantly between centers. Conclusions. The Prevalence of EGFR, KRAS, BRAF and HER2 mutations are well in line with data from other West European populations. Concomitant EGFR, KRAS, BRAF or HER2 mutations are exceptional. ALK FISH results vary significantly between the eight centres. Concomitant ALK FISH positive results in NSCLC harbouring other oncogenic driver mutation have only been observed in two smaller centres, highlighting the difficulty in ALK-FISH interpretation.

Stereotactic body radiation therapy with helical tomotherapy for medical inoperable early-stage primary and second-primary non-small cell lung neoplasm : one-year outcome and toxicity analysis

Le cancer du poumon est la première cause de mortalité associée au cancer dans le monde. Le traitement curatif des tumeurs pulmonaires non-à-petites-cellules (NSCLC) diagnostiquées à un stade précoce se base sur une approche chirurgicale. Cependant, étant donné les comorbidités liées à la consommation de tabac, dont la bronchopneumopathie chronique occupe la première place, l'éligibilité chirurgicale pour ce type de cancer se trouve fréquemment limitée. Dans ce contexte, l'emploi de la radiothérapie stéréotaxique (SBRT) est une alternative valable chez les patients atteints d'un NSCLC primaire de stade précoce, et qui sont considérés inopérables à cause de leurs comorbidités. Depuis peu seulemement, le spectre de la SBRT a été élargi aux patients atteints d'un deuxième NSCLC primaire (SPLC), faisant suite à un premier NSCLC, traité avec un but curatif. Ils concernent donc des patients ayant déjà subits une intervention chirurgicale au préalable et qui présentent une réserve fonctionnelle pulmonaire extrêmement réduite. Le succès croissant de la SBRT résulte soit d'une efficacité thérapeutique comparables à la chirurgie, soit de sa toxicité qui semble limitée. À notre connaissance, seulement une étude a reporté des issues cliniques de patients affectés par des NSCLC primaires traités par SBRT. Cette dernière a utilisé la tomothérapie comme système d'irradiation (T-SBRT), sur un faible échantillon de patients (n = 27). Concernant l'irradiation des patients présentant des SPLC, la littérature disponible est pauvre et aucune publication a décrit l'utilisation de la T-SBRT. Ces éléments innovants ont donc motivé la rédaction d'un travail de thèse concernant les premières données cliniques de l'expérience faite au CHUV. Du point de vue des effets secondaires, si la pneumonie actinique précoce et tardive survenant au niveau du champ d'irradiation est désormais une complication iatrogène bien connue de la SBRT, une seule étude s'est intéressée à ce sujet dans le cadre de la T-SBRT. De plus, une entité bénigne et transitoire de pneumonie ( ?) a été reconnue depuis peu : la pneumonie organisée radio-induite (OP). Celle-ci semble se chevaucher comme un autre effet iatrogène à l'extérieur du champ d'irradiation. Originellement, cette dernière avait été rapportée dans les suites de la radiothérapie pour les cancer du sein. Elle a été décrite comme étant initialement limitée au champ d'irradiation et successivement pouvant s'étendre dynamiquement en dehors de celui-ci. Nous avons donc supposé que des infiltrats de OP peuvent être présents chez des patients asymptomatiques, et que ce dynamisme pourrait être identifié déjà au sein du champ d'irradiation. Notre étude a démontré que le traitement par T-SBRT garde des issues cliniques très encourageantes, aussi bien pour les tumeurs primaires que pour les SPLC. Entre autre, ce traitement semble avoir une toxicité limitée, et l'existence vraisemblable de la OP, déjà au sein du champ d'irradiation, peut aider les radiologues à différencier les infiltrats radio-induits d'une une récidive tumorale.

Diagnosis of endocrine disease: High-yield thyroid fine-needle aspiration cytology: an update focused on ancillary techniques improving its accuracy.

Thyroid fine-needle aspiration (FNA) cytology is a fast growing field. One of the most developing areas is represented by molecular tests applied to cytological material. Patients that could benefit the most from these tests are those that have been diagnosed as 'indeterminate' on FNA. They could be better stratified in terms of malignancy risk and thus oriented with more confidence to the appropriate management. Taking in to consideration the need to improve and keep high the yield of thyroid FNA, professionals from various fields (i.e. molecular biologists, endocrinologists, nuclear medicine physicians and radiologists) are refining and fine-tuning their diagnostic instruments. In particular, all these developments aim at increasing the negative predictive value of FNA to improve the selection of patients for diagnostic surgery. These advances involve terminology, the application of next-generation sequencing to thyroid FNA, the use of immunocyto- and histo-chemistry, the development of new sampling techniques and the increasing use of nuclear medicine as well as molecular imaging in the management of patients with a thyroid nodule. Herein, we review the recent advances in thyroid FNA cytology that could be of interest to the 'thyroid-care' community, with particular focus on the indeterminate diagnostic category.

Prediction in transformed images

The study is related to lossless compression of greyscale images. The goal of the study was to combine two techniques of lossless image compression, i.e. Integer Wavelet Transform and Differential Pulse Code Modulation to attain better compression ratio. This is an experimental study, where we implemented Integer Wavelet Transform, Differential Pulse Code Modulation and an optimized predictor model using Genetic Algorithm. This study gives encouraging results for greyscale images. We achieved a better compression ration in term of entropy for experiments involving quadrant of transformed image and using optimized predictor coefficients from Genetic Algorithm. In an other set of experiments involving whole image, results are encouraging and opens up many areas for further research work like implementing Integer Wavelet Transform on multiple levels and finding optimized predictor at local levels.

Spleen Volume Variation in Patients with Locally Advanced Non-Small Cell Lung Cancer Receiving Platinum-Based Chemo-Radiotherapy.

There is renewed interest in the immune regulatory role of the spleen in oncology. To date, very few studies have examined macroscopic variations of splenic volume in the setting of cancer, prior to or during therapy, especially in humans. Changes in splenic volume may be associated with changes in splenic function. The purpose of this study was to investigate variations in spleen volume in NSCLC patients during chemo-radiotherapy. Sixty patients with stage I-IIIB NSCLC underwent radiotherapy (60Gy/30 fractions) for six weeks with concomitant carboplatin/paclitaxel (Ca/P; n = 32) or cisplatin/etoposide (Ci/E; n = 28). A baseline PET/CT scan was performed within 2 weeks prior to treatment and during Weeks 2 and 4 of chemo-radiotherapy. Spleen volume was measured by contouring all CT slices. Significant macroscopic changes in splenic volume occurred early after the commencement of treatment. A significant decrease in spleen volume was observed for 66% of Ca/P and 79% of Ci/E patients between baseline and Week 2. Spleen volume was decreased by 14.2% for Ca/P (p<0.001) and 19.3% for Ci/E (p<0.001) patients. By Week 4, spleen volume was still significantly decreased for Ca/P patients compared to baseline, while for Ci/E patients, spleen volume returned to above baseline levels. This is the first report demonstrating macroscopic changes in the spleen in NSCLC patients undergoing radical chemo-radiotherapy that can be visualized by non-invasive imaging.

Cyclooxygenase-2 Expression in Non-Small Cell Lung Cancer Correlates With Hypertrophic Osteoarthropathy.

Hypertrophic osteoarthrpathy (HO) is a rare paraneoplasic syndrome associated with non-small cell lung cancer (NSCLC). The pathophysiology of HO is unknown but was recently related to enhanced levels of urine prostaglandin E2 (PGE2). Here, we report the case of a patient that presented HO in association with a resectable left upper lobe NSCLC. Following surgery and adjuvant chemotherapy, HO resolved and did not recur with development of a brain metastasis 1 year later. Interestingly, tumor cyclooxygenase-2, an enzyme responsible the synthesis of PGE2, was expressed in the primary tumor but not in the resected metastasis.