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Chronic liver diseases, resulting from chronic injuries of various causes, lead to cirrhosis with life-threatening complications including liver failure, portal hypertension, hepatocellular carcinoma. A key unmet medical need is robust non-invasive biomarkers to predict patient outcome, stratify patients for risk of disease progression and monitor response to emerging therapies. Quantitative imaging biomarkers have already been developed, for instance, liver elastography for staging fibrosis or proton density fat fraction on magnetic resonance imaging for liver steatosis. Yet, major improvements, in the field of image acquisition and analysis, are still required to be able to accurately characterize the liver parenchyma, monitor its changes and predict any pejorative evolution across disease progression. Artificial intelligence has the potential to augment the exploitation of massive multi-parametric data to extract valuable information and achieve precision medicine. Machine learning algorithms have been developed to assess non-invasively certain histological characteristics of chronic liver diseases, including fibrosis and steatosis. Although still at an early stage of development, artificial intelligence-based imaging biomarkers provide novel opportunities to predict the risk of progression from early-stage chronic liver diseases toward cirrhosis-related complications, with the ultimate perspective of precision medicine. This review provides an overview of emerging quantitative imaging techniques and the application of artificial intelligence for biomarker discovery in chronic liver disease. journal article review 2022 Jun 2022 02 09 imported

We submit a summary of some of the activities of the IHU-Strasbourg during the initial period of the COVID-19 pandemic. These were presented as part of the coronnavation effort coordinated by Dr Adrian Park. Three initiatives are presented as follows: Protect-Est App, healthcare worker stress, and converted diving mask for ventilation. Two of the 3 projects are still ongoing, and one (Predoict-Est) has been adopted nationally.

Magnetic Resonance Thermometry Imaging (MRTI) holds great potential in laser ablation (LA) monitoring. It provides the real-time multidimensional visualization of the treatment effect inside the body, thus enabling accurate intraoperative prediction of the thermal damage induced. Despite its great potential., thermal maps obtained with MRTI may be affected by numerous artifacts. Among the sources of error producing artifacts in the images., the cavitation phenomena which could occur in the tissue during LA induces dipole-structured artifacts. In this work., an analysis of the cavitation artifacts occurring during LA in a gelatin phantom in terms of symmetry in space and symmetry of temperature values was performed. Results of 2 Wand 4 W laser power were compared finding higher symmetry for the 2 W case in terms of both dimensions of artifact-lobes and difference in temperature values extracted in specular pixels in the image. This preliminary investigation of artifact features may provide a step forward in the identification of the best strategy to correct and avoid artifact occurrence during thermal therapy monitoring. Clinical Relevance- This work presents an analysis of cavitation artifacts in MRTI from LA which must be corrected to avoid error in the prediction of thermal damage during LA monitoring.

The pandemic of COVID-19 is undoubtedly one of the biggest challenges for modern healthcare. From the beginning of the outbreak, new variants have also proven to be even more contagious, accelerating the spread and stressing the healthcare system. In order to analyze the spatio-temporal aspects of the spread of COVID-19, technology has helped us to track, identify and store information regarding positivity and hospitalization, across different levels of municipal entities. In this work, we present a method for predicting positive and hospitalized cases at the department level of France via a novel multi-scale graph neural network, integrating information from fine-scale geographical zones of a few thousand inhabitants. Our model manages to outperform baselines and deep learning models, presenting low errors in both prediction tasks. We specifically point out the importance of our contribution in predicting hospitalization since hospitals became critical infrastructure during the pandemic. To the best of our knowledge, this is the first work to exploit high-resolution spatio-temporal data in a multi-scale manner, incorporating additional knowledge, such as vaccination rates and population mobility data. We believe that our method may improve future estimations of positivity and hospitalization, which is crucial for healthcare planning.

Colorectal surgery has benefited from advances in precision medicine such as total mesorectal resection, and recently, mesocolon resection, fluorescent perfusion imaging, and fluorescent node mapping. However, these advances fail to address the variable quality of mesocolon dissection and the directed extent of vascular dissection (including high ligation) or pre-resection anastomotic perfusion mapping, thereby impacting anastomotic leaks. We propose a new paradigm of precision image-directed colorectal surgery involving 3D preoperative resection modeling and intraoperative fluoroscopic and fluorescence vascular imaging which better defines optimal dissection planes and vascular vs. anatomy-based resection lines according to our hypothesis. Six pigs had preoperative CT with vascular 3D reconstruction allowing for the preoperative planning of vascular-based dissection. Laparoscopic surgery was performed in a hybrid operating room (OR). Superselective arterial catheterization was performed in branches of the superior mesenteric artery (SMA) or the inferior mesenteric artery (IMA). Intraoperative boluses of 0.1 mg/kg or a continuous infusion of indocyanine green (ICG) (0.01 mg/mL) were administered to guide fluorescent-based sigmoid and ileocecal resections. Fluorescence was assessed using proprietary software at several regions of interest (ROI) in the right and left colon. The approach was feasible and safe. Selective catheterization took an average of 43 min. Both bolus and continuous perfusion clearly marked pre-identified vessels (arteries/veins) and the target colon segment, facilitating precise resections based on the visible vascular anatomy. Quantitative software analysis indicated the optimal resection margin for each ROI. Intra-arterial fluorescent mapping allows visualization of major vascular structures and segmental colonic perfusion. This may help to prevent any inadvertent injury to major vascular structures and to precisely determine perfusion-based resection planes and margins. This could enable tailoring of the amount of colon resected, ensure good anastomotic perfusion, and improve oncological outcomes.

MRI is the reference for the diagnosis of arterial cerebral ischemia, but its role in acute mesenteric ischemia (AMI) is poorly known.To assess MRI detection of early ischemic bowel lesions in a porcine model of arterial AMI.Prospective/cohort.Porcine model of arterial AMI obtained by embolization of the superior mesenteric artery (seven pigs).A 5-T. T1 gradient-echo-weighted-imaging (WI), half-Fourier-acquisition-single-shot-turbo-spin-echo, T2 turbo-spin-echo, true-fast-imaging-with-steady-precession (True-FISP), diffusion-weighted-echo-planar (DWI).T1-WI, T2-WI, and DWI were performed before and continuously after embolization for 6 hours. The signal intensity (SI) of the ischemic bowel was assessed visually and quantitatively on all sequences. The apparent diffusion coefficient (ADC) was assessed.Paired Student's t-test or Mann-Whitney U-test, significance at P 0.05.One pig died from non-AMI-related causes. The remaining pigs underwent a median 5 h53 (range 1 h24-6 h01) of ischemia. Visually, the ischemic bowel showed signal hyperintensity on DWI-b800 after a median 85 (57-276) minutes compared to the nonischemic bowel. DWI-b800 SI significantly increased after 2 hours (+19%) and the ADC significant decrease within the first hour (-31%). The ischemic bowel was hyperintense on precontrast T1-WI after a median 87 (70-171) minutes with no significant quantitative changes over time (P = 0.46-0.93). The ischemic bowel was hyperintense on T2-WI in three pigs with a significant SI increase on True-FISP after 1 and 2 hours.Changes in SI and ADC can be seen early after the onset of arterial AMI with DWI. The value of T2-WI appears to be limited.1 TECHNICAL EFFICACY: Stage 2.

Background:To prospectively evaluate the post-therapeutic aspects of the anal canal on MRI using diffusion tensor imaging (DTI) with tractography in healed perianal fistula.Methods:From September 2019 to August 2021, we included 21 patients referred for follow-up MRI of post-therapeutic anal fistulas. All patients were imaged at 3T including an additional DTI sequence. Our cohort was divided between normal and abnormal sphincters based on T2-weighted images. Fractional anisotropy (FA) and apparent diffusion coefficient (ADC) values were measured for four different muscular components. For the qualitative data, interobserver concordance was determined using quadratic Cohen weighted kappa statistics. For quantitative data we used the Mann-Whitney test for two independent groups and Kruskall-Wallis for several independent groups, with a significance level pResults:The quality score of the 3D representation was satisfying with a substantial interobserver concordance. On the 3D color coded representation, we did not observe any disruption of fibers in the abnormal group. The circular configuration of the internal sphincter and puborectalis was clearly demonstrated. In both groups, there was no significant different between internal sphincter and puborectalis/external sphincters, (ADC values (p=0.38 and p=0.24; FA values (p=0.73 and p=0.27), respectively. Similarly, there was no statistically significant difference in terms of DTI values between the normal and abnormal segments.Conclusion:In healed perianal fistula, minor sequalae (on T2-weighted images) did not appear to modify the DTI parameters or the 3D tractography. However, further studies with larger cohorts are required to confirm the potential clinical impact of this new noninvasive imaging method. Trial registration : This study was approved by the National Ethical Committee (CPP 19 04) and the Institutional Review Board of the US National Library of Medicine -ClinicalTrials.gov Identifier : NCT03881436 ; first posted registration date : 19/03/2019

Artificial intelligence (AI) applications aiming to support surgical decision-making processes are generating novel threats to ethical surgical care. To understand and address these threats, we summarize the main ethical issues that may arise from applying AI to surgery, starting from the Ethics Guidelines for Trustworthy Artificial Intelligence framework recently promoted by the European Commission.A modified Delphi process has been employed to achieve expert consensus.The main ethical issues that arise from applying AI to surgery, described in detail here, relate to human agency, accountability for errors, technical robustness, privacy and data governance, transparency, diversity, non-discrimination, and fairness. It may be possible to address many of these ethical issues by expanding the breadth of surgical AI research to focus on implementation science. The potential for AI to disrupt surgical practice suggests that formal digital health education is becoming increasingly important for surgeons and surgical trainees.A multidisciplinary focus on implementation science and digital health education is desirable to balance opportunities offered by emerging AI technologies and respect for the ethical principles of a patient-centric philosophy.

PurposeThe objective of this study was to build and validate a radiomic signature to predict early a poor outcome using baseline and 2-month evaluation CT and to compare it to the RECIST1·1 and morphological criteria defined by changes in homogeneity and borders.MethodsThis study is an ancillary study from the PRODIGE-9 multicentre prospective study for which 491 patients with metastatic colorectal cancer (mCRC) treated by 5-fluorouracil, leucovorin and irinotecan (FOLFIRI) and bevacizumab had been analysed. In 230 patients, computed texture analysis was performed on the dominant liver lesion (DLL) at baseline and 2 months after chemotherapy. RECIST1·1 evaluation was performed at 6 months. A radiomic signature (Survival PrEdiction in patients treated by FOLFIRI and bevacizumab for mCRC using contrast-enhanced CT TextuRe Analysis (SPECTRA) Score) combining the significant predictive features was built using multivariable Cox analysis in 120 patients, then locked, and validated in 110 patients. Overall survival (OS) was estimated with the Kaplan-Meier method and compared between groups with the logrank test. An external validation was performed in another cohort of 40 patients from the PRODIGE 20 Trial.ResultsIn the training cohort, the significant predictive features for OS were: decrease in sum of the target liver lesions (STL), (adjusted hasard-ratio(aHR)=13·7, p=1·93×10–7), decrease in kurtosis (ssf=4) (aHR=1·08, p=0·001) and high baseline density of DLL, (aHR=0·98, p0·02 had a lower OS in the training cohort (pConclusionA radiomic signature (combining decrease in STL, density and computed texture analysis of the DLL) at baseline and 2-month CT was able to predict OS, and identify good responders better than RECIST1.1 criteria in patients with mCRC treated by FOLFIRI and bevacizumab as a first-line treatment. This tool should now be validated by further prospective studies.Trial registrationClinicaltrial.gov identifier of the PRODIGE 9 study: NCT00952029.Clinicaltrial.gov identifier of the PRODIGE 20 study: NCT01900717.

Purpose To evaluate the safety and efficacy of percutaneous transarterial embolization (PTAE) for the treatment of spontaneous soft-tissue hematomas (SSTHs) and identify variables predictive of short-term outcome. Materials and Methods Between 2011 and 2017, the outcome was retrospectively analyzed for 112 patients (mean age ± standard deviation, 72 years ± 14; range, 28-92 years), including 65 women (mean age, 73 years ± 12.7; range, 39-92 years) and 47 men (mean age, 70 years ± 14.9; range, 28-91 years), with SSTH treated with PTAE. Thirty-day mortality, technical and clinical success, simplified acute physiology score (SAPS) II, anticoagulation, embolic agent, hematoma volume and location, serum hemoglobin level, hemodynamic instability, and presence of active bleeding at CT and/or angiography were recorded. Clinical success was defined as cessation of bleeding as determined by hemodynamic stability and/or serum hemoglobin level stabilization after PTAE. Univariable and multivariable analyses were performed by using a Cox model to identify variables associated with time to death. Results Mortality rate was 26.8% (30 of 112 patients), angiographic success rate was 95.5% (107 of 112 patients), and clinical success rate was 83% (93 of 112 patients). For surviving patients, mean SAPS II was 19.6 ± 7.1 (range, 13-31) and mean hematoma volume was 862 cm3 ± 618 (range, 238-1887 cm3). For deceased patients, mean SAPS II was 42 ± 13.2 (range, 18-63) and mean hematoma volume was 1419 cm3 ± 788 (range, 251-3492 cm3). SAPS II (P < .001), hematoma volume (P = .01), and retroperitoneal location (P = .01) were independently associated with fatal outcome. Conclusion Percutaneous transarterial embolization is effective for the emergency treatment of spontaneous soft-tissue hematomas. Simplified acute physiology score II, hematoma volume, and retroperitoneal location are predictors of short-term outcome. © RSNA, 2019 Online supplemental material is available for this article.

Purpose To compare changes in inferior vena cava (IVC) filter positional parameters from insertion to removal and examine how they affect retrievability amongst various filter types. Materials and methods A total of 447 patients (260 men, 187 women) with a mean age of 55 years (range: 13–91 years) who underwent IVC filter retrieval between 2007–2014 were retrospectively included. Post-insertion and pre-retrieval angiographic studies were assessed for filter tilt, migration, strut wall penetration and retrieval outcomes. ANCOVA and multiple logistic regression models were used to analyze factors affecting retrieval success. Pairwise comparisons between filter types were performed. Results Of 488 IVC filter retrieval attempts, 94.1% were ultimately successful. The ALN filter had the highest mean absolute value of tilt (5.6 degrees), the Optease filter demonstrated the largest mean migration (−8.0 mm) and the Bard G2 filter showed highest mean penetration (5.2 mm). Dwell time of 0–90 days (OR, 11.1; P = 0.01) or 90–180 days (OR, 2.6; P = 0.02), net tilt of 10–15 degrees (OR 8.9; P = 0.05), caudal migration of −10 to 0 mm (OR, 3.46; P = 0.03) and penetration less than 3 mm (OR, 2.6; P = 0.01) were positive predictors of successful retrievability. Higher odds of successful retrieval were obtained for the Bard G2X, Bard G2 and Cook Celect when compared to the ALN and Cordis Optease filters. Conclusion Shorter dwell time, lower mean tilt, caudal migration and less caval wall penetration are positive predictors of successful IVC filter retrieval.

Artificial intelligence (AI) is rapidly moving from an experimental phase to an implementation phase in many fields, including medicine. The combination of improved availability of large datasets, increasing computing power, and advances in learning algorithms has created major performance breakthroughs in the development of AI applications. In the last 5 years, AI techniques known as deep learning have delivered rapidly improving performance in image recognition, caption generation, and speech recognition. Radiology, in particular, is a prime candidate for early adoption of these techniques. It is anticipated that the implementation of AI in radiology over the next decade will significantly improve the quality, value, and depth of radiology's contribution to patient care and population health, and will revolutionize radiologists' workflows. The Canadian Association of Radiologists (CAR) is the national voice of radiology committed to promoting the highest standards in patient-centered imaging, lifelong learning, and research. The CAR has created an AI working group with the mandate to discuss and deliberate on practice, policy, and patient care issues related to the introduction and implementation of AI in imaging. This white paper provides recommendations for the CAR derived from deliberations between members of the AI working group. This white paper on AI in radiology will inform CAR members and policymakers on key terminology, educational needs of members, research and development, partnerships, potential clinical applications, implementation, structure and governance, role of radiologists, and potential impact of AI on radiology in Canada.

Background Negative-margin status is a prognostic indicator for long-term survival following curative intent resection for pancreatic adenocarcinoma. Patients at increased risk for positive-margin resections may benefit from neoadjuvant chemotherapy prior to resection. Methods We retrospectively analyzed preoperative computed-tomography (CT) scans in 108 consecutive patients that underwent curative intent resection for a resectable pancreatic ductal adenocarcinoma from 2009 to 2016 in two academic hospitals. Two radiologists independently staged the tumor, including tumor location, size, and tumor-to-superior mesenteric/portal vein (SMV/PV) contact. Uni and multivariate analysis were performed to identify independent predictors of an R1 resection. Results Twenty-nine patients had an R1 resection (26.9%). Tumor size, location, and presence of tumor-to-SMV/PV contact were significantly associated with an R1 resection. In multivariate analysis, the independent parameters associated with resection status were: tumor size (R2 = 9.7), and tumor location (neck R2 = 6.6; pancreaticoduodenal interface R2 = 4.4; uncinate process R2 = 4.1), but not tumor-to-SMV/PV contact (R2 = 0.1, p = 0.7). A simple CT score was built based on tumor size and location. Patients with an R0 resectability score ≥3, i.e. patients with tumor size ≥30 mm (except when tumor location is at the pancreatico-duodenal interface) or patients with tumor size ≥20 mm AND tumor located in the uncinate process or neck, were at high-risk of an R1 resection (AUC, 0.82; sensitivity, 79%; specificity, 76%). This score also showed good diagnostic performances for predicting an R1 resection involving the medial resection margin only (AUC, 0.85). Conclusions A simple score based on tumor location and size can accurately predict patients at high-risk of an R1 resection.

Backgrounds Patients with a pancreatic cancer amenable to surgery still have a poor prognosis and high risk of post-operative recurrence. We aimed to assess the value of quantitative imaging biomarkers using computed-tomography (CT) texture analysis to evaluate the pathologic tumor aggressiveness and predict disease-free survival (DFS) in patients with resectable pancreatic adenocarcinoma. Methods We retrospectively performed attenuation measurements and texture analysis on the portal-venous phase of the pre-operative CT scan of 99 patients that underwent resection of a pancreatic ductal adenocarcinoma in two university hospitals. Tumor attenuation parameters included: mean attenuation value of the whole tumor (WHOLE-AV), and of the most hypoattenuating area within the tumor (CENTRAL-AV). Tumor heterogeneity parameters included: standard deviation, entropy, skewness, and kurtosis. Results Tumor attenuation parameters showed significant association with the tumor differentiation grade (CENTRAL-AV, Odds ratio (OR) 0.968, 95% confidence interval (CI) 0.94–0.998) and lymph node invasion (WHOLE-AV, OR 0.886, CI 0.823–0.955). Variables associated with early-recurrence were: lymph node ratio (R2 = 0.15), kurtosis (R2 = 0.08), and CENTRAL-AV (R2 = 0.04). Lymph node ratio (Hazard ratio (HR) 1.02), and CENTRAL-AV (HR 0.98) were independently associated with shorter DFS. Patients with CENTRAL-AV Conclusion Tumors that are more hypoattenuating on the portal-venous phase on CT scan are potentially more aggressive with higher tumor grade, greater lymph node invasion, and shorter DFS.

OBJECTIVE. The objective of our study was to evaluate whether shear wave elastography (SWE) can differentiate benign from malignant microcalcifications of the breast when detected on ultrasound (US). SUBJECTS AND METHODS. Between February 9, and June 23, 2016, 74 patients with mammographically detected suspicious microcalcifications underwent breast US. When microcalcifications were identified on US, stiffness was assessed using SWE. Biopsy was subsequently performed under US guidance using a 10-gauge vacuum-assisted needle. Qualitative and quantitative elastography results were compared between benign and malignant calcifications as well as between pure ductal carcinoma in situ and lesions with invasive components using the Mann-Whitney U test. ROC curves were created to assess the performance of SWE in detecting malignancy and invasive components. RESULTS. Twenty-nine groups of microcalcifications in 29 patients were identified on US. At pathology, 16 groups were benign and 13 were malignant. Stiffness of malignant calcifications was significantly higher than that of the benign ones (p = 0.0004). The AUC, sensitivity, specificity, negative predictive value, positive predictive value, and accuracy of SWE for the diagnosis of malignancy were 0.89, 69%, 100%, 80%, 100%, and 86%, respectively, and for detection of an invasive component were 0.93, 75%, 100%, 75%, 100%, and 85%. CONCLUSION. SWE has the potential to differentiate benign from malignant micro-calcifications of the breast when detected on US with high specificity.

BackgroundInnovation in healthcare is the practical application of new concepts, ideas, processes or technologies into clinical practice. Despite its necessity and potential to improve care in measurable ways, there are several issues related to patient safety, high costs, high failure rates and limited adoption by end-users. This mixed-method study aims to explore the role of simulation as a potential testbed for diminishing the risks, pitfalls and resources associated with development and implementation of medical innovations.MethodsSubject-matter experts consisting of physicians, engineers, scientists and industry leaders participated in four semistructured teleconferences each lasting up to 2 hours each. Verbal data were transcribed verbatim, coded and categorised according to themes using grounded theory, and subsequently synthesised into a conceptual framework. Panelists were then invited to complete an online survey, ranking the (1) current use and (2) potential effectiveness of simulation-based technologies and techniques for evaluating and facilitating the product life cycle pathway. This was performed for each theme of the previously generated conceptual framework using a Likert scale of 1 (no effectiveness) to 9 (highest possible effectiveness) and then segregated according to various forms of simulation.ResultsOver 100 hours of data were collected and analysed. After 7 rounds of inductive data analysis, a conceptual framework of the product life cycle was developed. This framework helped to define and characterise the product development pathway. Agreement between reviewers for inclusion of items after the final round of analysis was 100%. A total of 7 themes were synthesised and categorised into 3 phases of the pathway: ‘design and development’, ‘implementation and value creation’ and ‘product launch’. Strong discrepancies were identified between the current and potential roles of simulation in each phase. Simulation was felt to have the strongest potential role for early prototyping, testing for safety and product quality and testing for product effectiveness and ergonomics.ConclusionsSimulation has great potential to fulfil several unmet needs in healthcare innovation. This framework can be used to help guide innovators and channel resources appropriately. The ultimate goal is a structured, well-defined process that will result in a product development outcome that has the greatest potential to succeed.

This Editorial comment refers to the article "Medical students' attitude towards artificial intelligence: a multicenter survey," Pinto Dos Santos D, et al Eur Radiol 2018. KEY POINTS: • Medical students are not well informed of the potential consequences of AI in radiology. • The fundamental principles of AI-as well as its application in medicine-must be taught in medical schools. • The radiologist specialty must actively reflect on how to validate, approve, and integrate AI algorithms into our clinical practices.

The last few decades have witnessed tremendous technological developments in image-based biomarkers for tumor quantification and characterization. Initially limited to manual one- and two-dimensional size measurements, image biomarkers have evolved to harness developments not only in image acquisition technology but also in image processing and analysis algorithms. At the same time, clinical validation remains a major challenge for the vast majority of these novel techniques, and there is still a major gap between the latest technological developments and image biomarkers used in everyday clinical practice. Currently, the imaging biomarker field is attracting increasing attention not only because of the tremendous interest in cutting-edge therapeutic developments and personalized medicine but also because of the recent progress in the application of artificial intelligence (AI) algorithms to large-scale datasets. Thus, the goal of the present article is to review the current state of the art for image biomarkers and their use for characterization and predictive quantification of solid tumors. Beginning with an overview of validated imaging biomarkers in current clinical practice, we proceed to a review of AI-based methods for tumor characterization, such as radiomics-based approaches and deep learning.Key Points• Recent years have seen tremendous technological developments in image-based biomarkers for tumor quantification and characterization.• Image-based biomarkers can be used on an ongoing basis, in a non-invasive (or mildly invasive) way, to monitor the development and progression of the disease or its response to therapy.• We review the current state of the art for image biomarkers, as well as the recent developments in artificial intelligence (AI) algorithms for image processing and analysis.

Summary Purpose To evaluate whether enhancement of breast cancer on pre-treatment dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) as evaluated semi-quantitatively using computer-aided detection (CAD) is associated with response to neo-adjuvant chemotherapy. Materials and methods A total of 84 women, (mean age, 51 ± 10 [SD] years; range: 30–73 years) with 84 breast cancers who underwent MRI before neo-adjuvant chemotherapy were included in this retrospective study. The proportion of each type of signal intensity-time curve (SITC) (type 1: persistent; type 2: plateau; Type 3: washout) within the tumor volume was quantified semi-automatically using a CAD system (Aegis®, Sentinelle medical, Toronto, Canada) and was compared to histological features of the tumors and to pathological response to neo-adjuvant chemotherapy. Results Pathological complete response was obtained in 29 patients (35%). Proportion of SITC type 1 was greater in non-responders (P = 0.019) while proportion of SITC type 3 was greater in responders (P = 0.04). Sensitivity, specificity, and accuracy of proportion of SITC type 1 for the identification of incomplete response on pathology were 42% (95% CI: 29%–56%), 90% (95% CI: 73%–98%), and 59% (95% CI: 48%–70%), respectively. Conclusion Proportion of SITC type 1 (persistent) in breast cancers on pre-treatment MRI as semi-automatically quantified using a CAD system is associated with absence of pathological complete response to neo-adjuvant chemotherapy with good specificity.

Purpose To evaluate whether features from texture analysis of breast cancers were associated with pathologic complete response (pCR) after neoadjuvant chemotherapy and to explore the association between texture features and tumor subtypes at pretreatment magnetic resonance (MR) imaging. Materials and Methods Institutional review board approval was obtained. This retrospective study included 85 patients with 85 breast cancers who underwent breast MR imaging before neoadjuvant chemotherapy between April 10, 2008, and March 12, 2015. Two-dimensional texture analysis was performed by using software at T2-weighted MR imaging and contrast material-enhanced T1-weighted MR imaging. Quantitative parameters were compared between patients with pCR and those with non-pCR and between patients with triple-negative breast cancer and those with non-triple-negative cancer. Multiple logistic regression analysis was used to determine independent parameters. Results Eighteen tumors (22%) were triple-negative breast cancers. pCR was achieved in 30 of the 85 tumors (35%). At univariate analysis, mean pixel intensity with spatial scaling factor (SSF) of 2 and 4 on T2-weighted images and kurtosis on contrast-enhanced T1-weighted images showed a significant difference between triple-negative breast cancer and non-triple-negative breast cancer (P = .009, .003, and .001, respectively). Kurtosis (SSF, 2) on T2-weighted images showed a significant difference between pCR and non-pCR (P = .015). At multiple logistic regression, kurtosis on T2-weighted images was independently associated with pCR in non-triple-negative breast cancer (P = .033). A multivariate model incorporating T2-weighted and contrast-enhanced T1-weighted kurtosis showed good performance for the identification of triple-negative breast cancer (area under the receiver operating characteristic curve, 0.834). Conclusion At pretreatment MR imaging, kurtosis appears to be associated with pCR to neoadjuvant chemotherapy in non-triple-negative breast cancer and may be a promising biomarker for the identification of triple-negative breast cancer. © RSNA, 2017.

Background Percutaneous cholecystostomy (PC) is an alternative among high-risk surgical patients or those with multiple comorbidities, but its indications have not been clearly established in the literature. The aim of this paper is to provide the reader with an updated review of the literature summarizing what is known on this topic. Data sources We reviewed articles from 1979 to 2016 using the PubMed/Medline Database on PC and especially those evaluating this option as a bridge to surgery. Conclusions There remains a paucity of randomized control trials to ascertain the use of PC as a definitive treatment for acute cholecystitis. In most studies, more than 50% of patients underwent PC as a definite treatment without subsequent cholecystectomy. A newer avenue of endoscopic ultrasound is also discussed, which requires rigorous trials to determine its appropriate applications.

Purpose To evaluate the associations among mathematical modeling with the use of magnetic resonance (MR) imaging-based texture features and deep myometrial invasion (DMI), lymphovascular space invasion (LVSI), and histologic high-grade endometrial carcinoma. Materials and Methods Institutional review board approval was obtained for this retrospective study. This study included 137 women with endometrial carcinomas measuring greater than 1 cm in maximal diameter who underwent 1.5-T MR imaging before hysterectomy between January 2011 and December 2015. Texture analysis was performed with commercial research software with manual delineation of a region of interest around the tumor on MR images (T2-weighted, diffusion-weighted, and dynamic contrast material-enhanced images and apparent diffusion coefficient maps). Areas under the receiver operating characteristic curve and diagnostic performance of random forest models determined by using a subset of the most relevant texture features were estimated and compared with those of independent and blinded visual assessments by three subspecialty radiologists. Results A total of 180 texture features were extracted and ultimately limited to 11 features for DMI, 12 for LVSI, and 16 for high-grade tumor for random forest modeling. With random forest models, areas under the receiver operating characteristic curve, sensitivity, specificity, accuracy, positive predictive value, and negative predictive value were estimated at 0.84, 79.3%, 82.3%, 81.0%, 76.7%, and 84.4% for DMI; 0.80, 80.9%, 72.5%, 76.6%, 74.3%, and 79.4% for LVSI; and 0.83, 81.0%, 76.8%, 78.1%, 60.7%, and 90.1% for high-grade tumor, respectively. Sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of visual assessment for DMI were 84.5%, 82.3%, 83.2%, 77.7%, and 87.8% (reader 3). Conclusion The mathematical models that incorporated MR imaging-based texture features were associated with the presence of DMI, LVSI, and high-grade tumor and achieved equivalent accuracy to that of subspecialty radiologists for assessment of DMI in endometrial cancers larger than 1 cm. However, these preliminary results must be interpreted with caution until they are validated with an independent data set, because the small sample size relative to the number of features extracted may have resulted in overfitting of the models.

Objectives Liver volumetry has emerged as an important tool in clinical practice. Liver volume is assessed primarily via organ segmentation of computed tomography (CT) and magnetic resonance imaging (MRI) images. The goal of this paper is to provide an accessible overview of liver segmentation targeted at radiologists and other healthcare professionals. Methods Using images from CT and MRI, this paper reviews the indications for liver segmentation, technical approaches used in segmentation software and the developing roles of liver segmentation in clinical practice. Results Liver segmentation for volumetric assessment is indicated prior to major hepatectomy, portal vein embolisation, associating liver partition and portal vein ligation for staged hepatectomy (ALPPS) and transplant. Segmentation software can be categorised according to amount of user input involved: manual, semi-automated and fully automated. Manual segmentation is considered the “gold standard” in clinical practice and research, but is tedious and time-consuming. Increasingly automated segmentation approaches are more robust, but may suffer from certain segmentation pitfalls. Emerging applications of segmentation include surgical planning and integration with MRI-based biomarkers. Conclusions Liver segmentation has multiple clinical applications and is expanding in scope. Clinicians can employ semi-automated or fully automated segmentation options to more efficiently integrate volumetry into clinical practice. Teaching points • Liver volume is assessed via organ segmentation on CT and MRI examinations. • Liver segmentation is used for volume assessment prior to major hepatic procedures. • Segmentation approaches may be categorised according to the amount of user input involved. • Emerging applications include surgical planning and integration with MRI-based biomarkers. Electronic supplementary material The online version of this article (doi:10.1007/s13244-017-0558-1) contains supplementary material, which is available to authorised users.

Background Adverse events (AEs) in acute care hospitals are frequent and associated with significant morbidity, mortality, and costs. Measuring AEs is necessary for quality improvement and benchmarking purposes, but current detection methods lack in accuracy, efficiency, and generalizability. The growing availability of electronic health records (EHR) and the development of natural language processing techniques for encoding narrative data offer an opportunity to develop potentially better methods. The purpose of this study is to determine the accuracy and generalizability of using automated methods for detecting three high-incidence and high-impact AEs from EHR data: a) hospital-acquired pneumonia, b) ventilator-associated event and, c) central line-associated bloodstream infection. Methods This validation study will be conducted among medical, surgical and ICU patients admitted between 2013 and 2016 to the Centre hospitalier universitaire de Sherbrooke (CHUS) and the McGill University Health Centre (MUHC), which has both French and English sites. A random 60% sample of CHUS patients will be used for model development purposes (cohort 1, development set). Using a random sample of these patients, a reference standard assessment of their medical chart will be performed. Multivariate logistic regression and the area under the curve (AUC) will be employed to iteratively develop and optimize three automated AE detection models (i.e., one per AE of interest) using EHR data from the CHUS. These models will then be validated on a random sample of the remaining 40% of CHUS patients (cohort 1, internal validation set) using chart review to assess accuracy. The most accurate models developed and validated at the CHUS will then be applied to EHR data from a random sample of patients admitted to the MUHC French site (cohort 2) and English site (cohort 3)—a critical requirement given the use of narrative data –, and accuracy will be assessed using chart review. Generalizability will be determined by comparing AUCs from cohorts 2 and 3 to those from cohort 1. Discussion This study will likely produce more accurate and efficient measures of AEs. These measures could be used to assess the incidence rates of AEs, evaluate the success of preventive interventions, or benchmark performance across hospitals.

Purpose: To evaluate rectal cancer volumetry in predicting initial neoadjuvant chemotherapy response. Materials and Methods: Sixteen consecutive patients who underwent neoadjuvant chemotherapy (CX) before chemoradiotherapy (CRT) and surgery were enrolled in this retrospective study. Tumor volume was evaluated at the first magnetic resonance imaging (MRI), after CX and after CRT. Tumor volume regression (TVR) and downstaging were compared with histological results according to Tumor Regression Grade (TRG) to assess CX and CRT response, respectively. Results: The mean tumor volume was 132 cm3 ± 166 before and 56 cm3 ± 71 after CX. TVR after CX was significantly different between patients with poor histologic response (TRG1/2) and those with good histologic response (TRG3/4) (P = 0.001). An optimal cutoff of TVR >68% (area under the curve [AUC]: 0.9, 95% confidence interval [CI]: 0.65–0.98, P = 0.0001) to predict good histology response after CX was assessed by receiver operating characteristic curve. According to previous data and this study, we defined 70% as the best cutoff values according to sensitivity (86%), specificity (100%) of TVR for predicting good histology response. In contradistinction, MRI downstaging was associated with TRG only after CRT (P = 0.04). Conclusion: Our pilot study showed that MRI volumetry can predict early histological response after CX and before CRT. MRI volumetry could help the clinician to distinguish early responders in order to aid appropriate individually tailored therapies. J. Magn. Reson. Imaging 2013;38:726–732. © 2012 Wiley Periodicals, Inc.

Purpose: To retrospectively determine whether magnetic resonance (MR) volumetry of rectal cancer is a reproducible method for predicting disease-free survival (DFS) in patients with locally advanced low or midrectal tumors who undergo combined chemotherapy and radiation therapy (CRT) before total mesorectal excision. Materials and Methods: The institutional review board does not require approval for the use of patient data obtained for an observational retrospective study. Fifty-eight patients were included in the study; 42 patients had low-lying tumors. Two radiologists independently measured tumor volumes before and after CRT with use of semiautomated software. The radiologists were blinded to the clinical information for each patient. The tumor volume reduction ratio, circumferential resection margin, T stage, and occurrence of down-staging were compared with the histopathologic response and DFS. The threshold of tumor volume reduction for predicting DFS was assessed with receiver operating characteristic curve analysis. DFS was estimated with the Kaplan-Meier method and compared between groups with the log-rank test. Results: The interobserver correlation coefficient between the two radiologists was 0.87 (95% confidence interval [CI]: 0.76, 0.93) for pre-CRT volumetry and 0.81 (95% CI: 0.74, 0.90) for post-CRT volumetry. A tumor volume reduction of at least 70% was significantly associated with good histologic regression (tumor regression grade [TRG], 3 or 4) (P < .0001) compared with a volume reduction rate of less than 70%. DFS was studied in 51 patients. The mean follow-up of survivors at the time of analysis was 52 months +/- 20 (standard deviation). Patients with a volume reduction ratio of at least 70% had a higher DFS (P,.0001). Tumor volume reduction was an independent prognostic parameter in multivariate analysis for DFS (P = .003; 95% CI: 0.01, 0.4). Conclusion: The results demonstrate that volumetric measurements are reliable markers of rectal cancer prognosis, enabling the prediction of DFS and TRG. The cutoff of 70% is an easy parameter to use as a surrogate for clinical response to predict both TRG and outcome

Acute mesenteric ischemia (AMI) is a life-threatening emergency with prognosis directly correlated with the delay in diagnosis and treatment. Clinical and laboratory findings are nonspecific and it is imperative to look for findings of AMI on CT and ultrasound examinations performed in patients with acute abdomen. Arterial and venous ischemia are different entities with different clinical and imaging features, treatment and prognosis. The main causes of AMI are arterial thromboembolic disease and low-flow state. Venous ischemia is less frequent. Due to its high reported sensitivity (90%), CT should be performed as a firstline imaging modality when AMI is suspected. CT and ultrasound imaging features of AMI include: bowel wall thickness and enhancement abnormalities, pneumatosis, portal venous gas, demonstration of intravascular thrombus, bowel dilatation and ascitis.

This cohort study examines how often clinicians opt for clinical surveillance over therapeutic anticoagulation for patients with subsegmental pulmonary embolisms.

a peliose hepatique est une maladie rare, caracterisee par une dilatation inhomogene des sinusoides hepatiques. De pathogenie mal connue, elle survient dans des conditions multiples, compliquant cancers ou traitements medicamenteux (steroides anabolisants, azathioprine particulierement chez les transplantes renaux). Elle peut rarement se compliquer d’hemorragie ou d’hypertension portale. Sa presentation en imagerie est variable. Le diagnostic de peliose est rarement fait avant l’histologie au vu de la rarete de l’affection et l’absence de specificite des signes radiologiques. Nous presentons ici le cas d’une peliose mimant des metastases hepatiques de tumeurs hypervasculaires.

Liver iron content was evaluated by a magnetic resonance imaging-based method in 20 consecutive patients with either sporadic or familial porphyria cutanea tarda. Serum ferritin, hepatitis C infection and the presence of the 2 main mutations of the hemochromatosis gene were also investigated. All patients showed good clinical response to phlebotomy. Initial liver iron content was normal (< 40 micromol/g) in 9 cases, slightly increased (40-59 micromol/g) in 3 cases, moderately increased (60-99 micromol/g) in 6 cases or markedly increased (100-199 micromol/g) in 2 cases). The ferritin level was raised (> 400 ng/ml) in 14/20 patients and there was no obvious relationship with liver iron. Increased liver iron content was observed more frequently in patients with hemochromatosis mutation and less frequent in those with hepatitis C infection. Clinical response to phlebotomies was slightly better in patients with increased liver iron content even slightly, but patients with normal liver iron content also responded well, which suggests that iron depletion is an outstanding treatment independent of liver iron content. This study shows that increased liver iron content is not a constant finding in patients with porphyria cutanea tarda, especially in women, and that it is not a prerequisite for the efficiency of phlebotomy.

Value of MRCP for diagnosis of biliary complications after liver transplantation Purpose: To assess the value of MRCP in the detection of biliary complications after orthotopic liver transplantation. Materials and methods: 27 transplanted patients with suspected biliary complication underwent a total of 34 MR and direct cholangiography procedures. MRCP were reviewed by 2 independent reviewers blinded to clinical and laboratory findings. The biliary tract was divided into 7 segments, and all lesions were evaluated using this segmental anatomy. Each segment was evaluated for the presence of dilatation, stenosis and intra-ductaldebris. MRCP results were compared to results frpm direct cholangiography. Results: 216 (98%) of 221 biliary segments could be evaluated on MRCP, with good to excellent visualization in 179 (80%) cases. Segmental analysis showed sensitivity, specificity and accuracy values of 85%, 81% and 83% for the detection of biliary stenosis, 82%, 81% and 81% for the detection of biliary dilatation, and 60%, 88% and 80% forthe detection of inyraductal debris. Conclusion: MRCP is accurate for the detection of biliary stenosis and dilatation in patients after liver transplantation and provides an alternativeto direct cholangiography.

The commonest surgical procedure for management of morbid obesity in Europe is laparoscopic adjustable gastric banding (LAGB), even though laparoscopic vertical banded gastroplasty (LVBG) is still considered to be a gold standard restrictive option in bariatric surgery. A multicenter prospective study was designed to to assess the efficacy of LVBG in terms of weight loss and complication rates for obese patients who have indications for a restrictive procedure. Two-hundred morbidly obese patients (84.5% female) with a mean age of 41 years and mean body mass index (BMI) of 43.2 kg/m2 underwent LVBG as described by MacLean. Five trocars were placed in standard positions as per laparoscopic upper gastrointestinal surgery. A vertical gastric pouch (30 ml) was created with circular (21 or 25mm) and endolinear stapling techniques, enabling definitive separation of the two parts of the stomach. The gastric outlet was calibrated with either a polypropylene mesh (5.5 cm in length and 1cm in width) or a nonadjustable silicone band. The median follow-up period was 30 months (range, 1–72 months). One case had to be converted to open surgery (gastric perforation) and there was one death secondary to peritonitis of unknown etiology. The morbidity rate was 24%, comprising the following complications: gastric outlet stenosis (8%); staple line leak (2.5%); food trapping (1.5%); peritonitis (1%); thrombophlebitis (1.5%); pulmonary embolism (0.5%); and gastroesophageal reflux (9%). The excess weight loss achieved was 56.7% (1 year), 68.3% (2 years), and 65.1% (3 years). Laparoscopic vertical banded gastroplasty is an effective procedure for the surgical management of morbid obesity, especially for patients who present hyperphagia but are unable to manage the constraints of adjustable gastric banding. Laparoscopic vertical banded gastroplasty is safe, as demonstrated by an acceptable complication rate, of which gastric outlet stenosis, staple line leakage, and gastroesophageal reflux predominate.

Cholangitis is an infection of the biliary ductal system that results from biliary obstruction. Choledocholithiasis has been the leading cause of acute cholangitis. Acute cholangitis remains a life-threatening complication of biliary obstruction that needs emergency diagnosis and treatment. Ultrasound (US) is the primary imaging modality for assessment of patients with suspected acute cholangitis. US is both sensitive and specific in demonstrating biliary dilatation. However, biliary dilatation is not always present at the early stage of bile duct obstruction and the performance of US in demonstrating choledocholithiasis is poor. Computed tomography (CT) without contrast injection is more sensitive than US in demonstrating choledocholithiasis. Magnetic resonance cholangiopancreatography (MRCP) and endoscopic sonography (EUS) are the most sensitive techniques to correctly determine the underlying cause and level of biliary obstruction in patients with acute cholangitis. In patients without previous cholecystectomy, clinical, biological, and US results allow to determine patients with high probability of having choledocholithiasis even if the stone is not directly visible on US. Patients undergoing cholecystectomy require laparoscopic common bile duct exploration, especially if the common bile duct clearance is not checked before surgery by MRCP or EUS.

Resume Objectifs Le but de cette mise au point est de definir et illustrer le role de la radiologie apres la mise en place d’un anneau gastrique ajustable dans le traitement de l’obesite morbide. Patients et methode Depuis 1996, 1 000 patients obeses morbides ont ete traites par cette technique dans notre institution. Notre experience est basee sur une etude retrospective portant sur 663 patients obeses morbides avec 2 types d’anneaux, (de Septembre 1996 a Septembre 2002), est rapportee : 114 avec un anneau de type Lapband (LB), et 549 avec un anneau de type Sweedish adjustable gastric banding (SAGB). En post-operatoire, un transit oesogastrique (TOG) est realise chez tous les patients dans un delai de 24 a 48 heures. A distance, le TOG est realise pour chaque ajustement de l’anneau et pour detecter d’eventuelles complications. Resultats 5 types d’anneaux existants sont presentes. La technique et le materiel de ponction percutanee sous scopie de la chambre implantable sont illustres. Le TOG aux hydrosolubles permet de detecter les complications precoces post- operatoires (perforation gastrique) et des complications plus tardives au niveau de l’anneau (slippage, dilatation chronique de la poche, migration trans-gastrique), au niveau de la tubulure (deconnexion, fuite) et au niveau de la chambre d’injection sous cutanee (infection, bascule). L’ajustement de l’anneau est adapte suivant le retentissement gastrique apres un TOG baryte. Conclusion Dans le traitement de l’obesite morbide l’anneau gastrique, est une technique efficace. La radiologie a un role important dans la detection des complications et dans la prise en charge de la perte ponderale.

To evaluate the accuracy of signal intensity (SI) analysis on unenhanced fat-suppressed T1-weighted MR images in the diagnosis of pancreatic disease and to compare subjective interpretation with different quantitative measurements.The pancreas was evaluated in 159 patients (86 normal and 73 with pancreatic disease) with spoiled gradient echo (GRE) T1-weighted fat saturation MR images. The relative SI of the pancreas to liver and spleen was quantitatively measured using regions of interest (ROIs) and qualitatively assessed by two independent observers.The mean values between a normal and an abnormal pancreas with pancreas-liver ratios of 0.14 +/- 0.37 vs. -0.32 +/- 0.24, respectively, and pancreas-spleen ratios of 0.89 +/- 0.55 vs. 0.02 +/- 0.43, respectively, were significantly different (P0.001). The pancreas-liver SI ratio was significantly better than the pancreas-spleen ratio throughout the disease group (area under the receiver operating characteristic (ROC) curve +/- SD; 0.92 +/- 0.02 for pancreas-liver vs. 0.86 +/- 0.03 for pancreas-spleen, P0.01), and after excluding cases of acute pancreatitis (0.96 +/- 0.02 for pancreas-liver vs. 0.89 +/- 0.03 for pancreas-spleen, P0.01). There was no statistically significant difference between quantitative and qualitative analysis (area under the ROC curve +/- SD; 0.93 +/- 0.02 vs. 0.93 +/- 0.02 for the entire disease group; excluding acute pancreatitis 0.96 +/- 0.02 vs 0.97 +/- 0.02) for the diagnosis of pancreatic disease when using liver as internal standard. The interobserver concordance was very good (kappa0.71). The sensitivity of visual liver comparison was 80% in the entire disease group and 91% after the cases of acute pancreatitis were excluded, while specificity was 93%.The pancreas-liver ratio is the best quantitative means of distinguishing normal from abnormal pancreas. Visual observation by experienced observers (qualitative measurement) was just as accurate as quantitative measurement. Detection of pancreatic pathology can be made with high accuracy by visually comparing the SI of the pancreas with that of the normal liver.

Purpose To show that flow-independent venography that exploit the intrinsic MR properties of blood to isolate vessels from surrounding structures can be used for depiction of peripheral veins and for detection of deep venous thrombosis (DVT). Materials and Methods Sequence and parameters were first determined on a theoretical basis. The sequence was then optimized in volunteers (N = 4) for the depiction of the peripheral venous vessels. Qualitative evaluation of the normal venous anatomy was performed in five volunteers. The feasibility of diagnosing DVT of the calf with this method was evaluated with preliminary clinical studies. Results Excellent depiction of the venous anatomy was achieved in all volunteers with the optimized technique. Very small venous structures, such as superficial, muscular, and perforator veins, were clearly depicted because of the high spatial and contrast resolution capacities of the sequences. In all six patients, DVT findings diagnosed by duplex sonography were also seen on MR venography. Conclusion Venous anatomy mapping and detection of lower-limb DVT appear feasible using flow-independent MR venograms. J. Magn. Reson. Imaging 2003;17:421–426. © 2003 Wiley-Liss, Inc.

This study examines interphysician variability of diagnostic yield in computed tomographic pulmonary angiogram for pulmonary emboli.

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3601 Background: Quantitative assessment of tumor architecture changes may help to early identify non-responder patients and propose a tailored treatment strategy. Our objective was to build and validate a radiomics signature able to predict early the lack of response to chemotherapy including FOLFIFRI and bevacizumab using baseline and first evaluation CT and to compare it to the RECIST and morphological criteria. Methods: For 230 patients of PRODIGE 9 study and treated by FOLFIRI and bevacizumab, a computed analysis (CA) was performed on the dominant liver lesion (DLL) at baseline and 2 months post-chemotherapy. RECIST evaluation was performed at 2 and 6 months. The sum of the target liver lesions (STL), the density of the DLL, CA parameters and their changes rates were correlated with the 2-year survival status. A radiomics signature combining 3 parameters was built in one arm and validated in the second arm. Survival was estimated with the Kaplan-Meier method and compared with log-rank test. Results: The strongest predictive factors for 2-year survival status were decrease in STL(AUC = .69±.05[95%CI:.60-.77]), change rate in kurtosis(ssf = 0) (AUC = .66±.05[95%CI:.57-.74]), and the baseline density of the DLL (AUC = .68±.05[95%CI:.59-.77]). Using multivariate analysis, predictive factors of 2-year survival status were the decrease in STL > 15%(HR = 1.92, P= .002), the increase in kurtosis value(ssf = 0) > 93% (HR = 2.16, P= .001), and baseline DLL > 64.3UH (HR = 1.70, P= .02). Then, the SPECTRA-score was built by according 1 point for each of the 3 criteria. Patients with a SPECTRA-score > 1 had a lower overall survival in the training ( P= .001) and in the validation cohort ( P= .002). Non-response according to RECIST at 6 months had the same prognostic value as SPECTRA-score>1 at 2 months. Conclusions: A radiomics signature combining STL, density and CA on baseline and first evaluation CT is be able to predict which patient will have a poor outcome with same performances than standard evaluation with RECIST1.1 at 6 months in mCRC patients. Clinical trial information: NCT00952029.

We report the case of a 58-year-old man presenting with successive development of two uncommon tumors of soft tissue in the gastric location. The initial histological examination diagnosed a gastrointestinal stromal tumor (GIST) which was treated by surgical resection. Two years later a new tissue infiltration appeared at this surgical site. Our hypothesis suggested a GIST recurrence, but histological examination and genetic analysis diagnosed a desmoid tumor. Association of these two rare tumors localised at the same site has never been described.

Purpose We assessed the resistance index (RI) in the superior mesenteric artery under fasting and postprandial conditions in healthy subjects and in patients with cirrhosis to determine whether the amount of change in the RI reflects the presence or severity of liver dysfunction. Methods Fifteen subjects with normal livers and 27 patients with cirrhosis underwent Doppler sonography of the superior mesenteric artery before and after ingesting a standard meal. The RI at baseline (fasting state) and the postprandial RI were compared between the 2 groups. The fasting RIs and post postprandial RIs changes in cirrhotic patients were correlated with the severity of disease. Results No difference was found between the baseline RIs in healthy (RI = 0.85) and cirrhotic subjects (RI = 0.84), nor was there a difference in baseline RIs between subgroups of cirrhotic patients according to the severity of liver disease. The RI decreased significantly (p < 0.05) after the meal in both the healthy (13%) and cirrhotic (8%) subjects, but the postprandial decrease was significantly less pronounced (p < 0.05) in cirrhotic patients than in healthy subjects. Among cirrhotic patients, there was no correlation between the postprandial decrease of the RI and severity of liver disease. Conclusions The marked decrease in the postprandial RI in the SMA in healthy subjects is generally not seen in patients with cirrhosis, and changes in the postprandial RI do not reliably predict the severity of liver dysfunction. © 1998 John Wiley & Sons, Inc. J Clin Ultrasound 26:131–136, 1998.

The authors report a case of perforated diverticulitis with presence of a fistulous tract between a peridiverticular abscess and the uterus during pregnancy with favorable outcome under medical treatment. The purpose of this case report is to illustrate specific imaging findings and clinical management of diverticulitis during pregnancy.