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Craniofacial fibrous dysplasia [CF-FD] with orbital complications is a known but rare entity. This is a multi-modality imaging Case Report of extensive CF-FD in a 31-year-old male with right eye pain, swelling, and redness, along with histopathology correlation. In this patient, the CT scan demonstrates the classic ground glass bony appearance in great detail and helps with the diagnosis of FD, while excluding other bony pathology. The patient’s corroborative MRI brain with and without contrast and MRI brain perfusion images are presented to further characterize this pathology along with its orbital and ocular complications. Given the significant mass-effect on the ocular structures, the patient underwent orbital surgery with removal of as much of the lesion as possible. On macroscopic pathology evaluation, the affected bone was rubbery and gritty when sectioned. Microscopically, remnant fragments of woven bone of various size and shapes were seen with lack of an osteoblast rim. The bony fragments had a characteristic curvilinear, trabecular, and/or branching pattern. Post-surgical imaging demonstrated improvement in the mass-effect on orbital structures and proptosis, along with residual bony lesion.

The tricuspid valve has gained interest recently because of the poor outcomes with current treatments and advances in percutaneous valve interventions. A sound understanding of the anatomy and pathologies of the tricuspid valve is critical in its evaluation and management of tricuspid regurgitation (TR). A multi-modality imaging approach with transthoracic echocardiography, transesophageal echocardiography, computed tomography, magnetic resonance imaging all have their individual and collective roles in the evaluation of TR and guidance of surgical and percutaneous procedures. This combined with clinical factors will contribute to defining timing, indications, modality selection and risk stratification for tricuspid valve interventions, which currently remains controversial.

The left atrium (LA) plays a vital role in maintaining normal cardiac function. LA volume and function have been utilised as important imaging biomarkers, with their prognostic value demonstrated in multiple cardiac conditions. More recently, there has been a sharp increase in the number of publications utilising LA strain by echocardiography and cardiac magnetic resonance (CMR) imaging. However, little is known about its prognostic value or reproducibility as a technique. In this review, we aim to highlight the conventional and novel imaging techniques available for LA assessment, using echocardiography and CMR, their role as an imaging biomarker in cardiovascular disease, the reproducibility of the techniques and the current limitations to their clinical application. We identify a need for further standardisation of techniques, with establishment of ‘normal’ cut-offs before routine clinical application can be made. Supplementary Information The online version contains supplementary material available at 10.1007/s10554-021-02316-x.

Hypertrophic cardiomyopathy (HCM) represents one of the primary cardiomyopathies and may lead to heart failure and sudden cardiac death. Among various histologic features of the disease examined, assessment of myocardial fibrosis may offer valuable information, since it may be considered the common nominator for all HCM connected complications. Late gadolinium-enhanced cardiac magnetic resonance (LGE-CMR) has emerged as the reference noninvasive method for visualizing and quantifying myocardial fibrosis in patients with HCM. T1 mapping, a promising new CMR technique, may provide an advantage over conventional LGE-CMR, by permitting a more valid quantification of diffuse fibrosis. On the other hand, echocardiography offers a significantly more portable, affordable, and easily accessible solution for the study of fibrosis. Various echocardiographic techniques ranging from integrated backscatter and contrast-enhanced ultrasound to two- (2D) or three-dimensional (3D) deformation and shear wave imaging may offer new insights into substrate characterization in HCM. The aim of this review is to describe thoroughly all different modalities that may be used in everyday clinical practice for HCM fibrosis evaluation (with special focus on echocardiographic techniques), to concisely present available evidence and to argue in favor of multi-modality imaging application. It is essential to understand that the role of various imaging modalities is not competitive but complementary, since the information provided by each one is necessary to illuminate the complex pathophysiologic pathways of HCM, offering a personalized approach and treatment in every patient.

A dural arteriovenous fistula (AVF) is a rare condition in a child and is not evident clinically. It is a type of an acquired cerebral vascular malformation that usually occurs after a thrombotic event of the cerebral venous sinuses. Dural AVF is not suspected clinically and is revealed through imaging done for evaluation of cranial symptoms. Therefore, it is essential to revisit the pathophysiology and the clinical situations leading to intracranial dural AVF. Equally crucial is identifying the imaging findings on computed tomography, or magnetic resonance imaging brain scans done as a preliminary work-up in these patients. However, for optimal management decision and prognostication of dural AVF, a digital subtraction angiography is essential. As the entire burden of establishing the diagnosis rests on the radiologists, we would like to present this rare case report highlighting both the clinical and imaging aspects and the management options available for dural AVFs.

We present the case of a 19-year-old woman who presented with cyanosis and on investigation (Multi Modality imaging) was found to have biventricular non-compaction associated with pulmonary arteriovenous malformation - an association not hitherto reported.

Optic neuropathy is kind of common eye diseases, which usually causes irreversible vision loss. Early diagnosis is key to saving patients’ vision. Due to the similar early clinical manifestations of common optic neuropathy, it may cause misdiagnosis and delays in treatment. Worse, most diagnoses rely on experienced doctors. In this paper, we proposed a novel deep learning architecture GroupFusionNet (GFN) to diagnose five normal optic neuropathy diseases, including Anterior Ischemic Optic Neuropathy (AION), papilledema, papillitis, Optic Disc Vasculitis (ODV), and optic atrophy (OA). Specifically, we combined multi-modalities in clinic examination such as fundus image, visual field tests and age of each patient. GFN utilized two ResNet pathways to extract and fuse both features of fundus image and visual field tests, and the information of structured data was embedded in the end. Experimental results demonstrate that multi-modality feature aggregation is effective for optic neuropathy diseases diagnosis, and GFN achieved a five-classes classification accuracy of 87.82% on the test dataset.

Background Heart failure with preserved ejection fraction (HFpEF) is thought to be highly prevalent yet remains underdiagnosed. Evidence-based treatments are available that increase quality of life and decrease hospitalization. We sought to develop a data-driven diagnostic model to predict from electronic health records (EHR) the likelihood of HFpEF among patients with unexplained dyspnea and preserved left ventricular EF. Methods and results The derivation cohort comprised patients with dyspnea and echocardiography results. Structured and unstructured data were extracted using an automated informatics pipeline. Patients were retrospectively diagnosed as HFpEF (cases), non-HF (control cohort I), or HF with reduced EF (HFrEF; control cohort II). The ability of clinical parameters and investigations to discriminate cases from controls was evaluated by extreme gradient boosting. A likelihood scoring system was developed and validated in a separate test cohort. The derivation cohort included 1585 consecutive patients: 133 cases of HFpEF (9%), 194 non-HF cases (Control cohort I) and 1258 HFrEF cases (Control cohort II). Two HFpEF diagnostic signatures were derived, comprising symptoms, diagnoses and investigation results. A final prediction model was generated based on the averaged likelihood scores from these two models. In a validation cohort consisting of 269 consecutive patients [with 66 HFpEF cases (24.5%)], the diagnostic power of detecting HFpEF had an AUROC of 90% (P Conclusion This diagnostic signature enables discrimination of HFpEF from non-cardiac dyspnea or HFrEF from EHR and can assist in the diagnostic evaluation in patients with unexplained dyspnea. This approach will enable identification of HFpEF patients who may then benefit from new evidence-based therapies.

Background: Imaging of salivary gland tumors is a challenge for the radiologist due to varied histological features and overlapping clinical presentation.The salivary glands have a glandular structure with tubules, secretory acini and myoepithelial cells to produce and secrete saliva. They are divided into two types: major and minor. Parotid, submandibular, and sublingual glands are the major paired salivary glands of the body. Multiple small minor salivary glands are distributed in the upper aerodigestive tract including PNS & parapharyngeal spaces. Objective: This study evaluates the role of different modalities used to assess salivary gland tumors. Results: 50 patients presenting with suspected salivary gland masses were evaluated. 22 males and 28 females were assessed with age ranging from 15 to 66 years (mean age of 52 years). 27 cases were of pleomorphic adenoma, 10 warthin tumors, 2 intraductal papilloma,1 lipoma, 1 oncocytoma,1 intra parotid paraganglioma, 2 hemangioma, 3 muco-epidermoid carcinoma, 2 adeno cystic cancer and 1 acinic cell cancer of salivary gland. 90% of patients (45 out of 50) presented with swelling / lump. 26% of patients had pain /discomfort and 4% of patients (2 out of 50) had facial nerve palsy. Conclusion: The conventional radiological evaluation was carried out using Xray and ultrasound with USG as rst line of investigation.. Cross sectional imaging with CT and MRI is useful in assessing for local extension , invasion of neighbouring structures as well as lymph nodal and systemic metastasis.MRI is superior to CT in assesing for extent and perineural spread.

Purpose Dorsal arachnoid web (DAW) is a rare intradural abnormality which is associated with progressive myelopathy. Our objective was to review multi-modality imaging techniques demonstrating the scalpel sign appearance in evaluation of DAW. Methods We retrospectively reviewed various imaging modalities of patients found to have DAW at our institution during January 2015 to February 2020. Five patients underwent surgical decompression with pathological correlation. The remaining patients were presumptively diagnosed based on the characteristic finding of scalpel sign. Clinical data were evaluated and correlated to imaging findings. All imaging modalities demonstrated the characteristic scalpel sign. Results Sixteen patients (10 females, and six males) with multi-imaging modalities were evaluated. Their mean age was 52 year (range 23–74 years). Fifteen patients underwent conventional spine MRI. Further high-resolution MR imaging techniques, e.g. 3D T2 myelographic sequence, were utilized with two patients. MRI spine CSF flow study was performed to evaluate the flow dynamic across the arachnoid web in one patient. Eight patients were evaluated with CT myelogram. Syrinx formation was discovered in seven (44%) patients; five (71%) of them underwent surgical resection and decompression. Two patients underwent successful catheter-directed fenestration of the web with clinical improvement. We found a statically significant positive correlation between the degree of cord displacement and compression with syrinx formation (r = 0.55 and 0.65 with p-value of 0.03 and 0.009, respectively). Conclusion DAW has characteristic scalpel sign independent of imaging modality. Multi-modality imaging evaluation of DAW is helpful for evaluation and surgical planning.

Introduction: The purpose of this study was to determine the incidence of radiation induced hypothyroidism after treatment with radiotherapy alone or in combination with surgery/chemotherapy in head & neck cancer patients. Methods: This study was a retrospective non-randomized done on 100 patients of head & neck cancer in whom definitive radiotherapy, postoperative radiotherapy or radiotherapy in combination with chemotherapy was given. Values of TSH, T3 & T4 were analyzed at baseline and at 6 monthly follow up. Subclinical hypothyroidism was defined as TSH value of >4mU/L and Clinical hypothyroidism was taken as TSH >10mU/L with decreased T3 & T4. Results: Out of 100 patients 73 patients were euthyroid at the end of 2 year follow up, 21% had subclinical hypothyroidism and 6% had clinical hypothyroidism. Incidence of subclinical hypothyroidism in surgery plus radiotherapy group and radiotherapy group was 22.3% & 50% respectively. Incidence of clinical hypothyroidism in surgery plus radiotherapy group and radiotherapy group was 6.5% & nil respectively. Conclusion: The incidence of hypothyroidism is high in head & neck cancer patients receiving radiotherapy. The risk is higher in patients who undergo surgery in combination with radiotherapy. Regular thyroid function test is, therefore, recommended.

Cardiac amyloidosis is a heterogeneous and challenging diagnostic disease with poor prognosis that is now being altered by introduction of new therapies. Echocardiography remains the first-line imaging tool, and when disease is suspected on echocardiography, cardiac magnetic resonance imaging and nuclear imaging play critical roles in the non-invasive diagnosis and evaluation of cardiac amyloidosis. Advances in multi-modality cardiac imaging allowing earlier diagnosis and initiation of novel therapies have significantly improved the outcomes in these patients. Cardiac imaging also plays important roles in the risk stratification of patients presenting with cardiac amyloidosis. In the current review, we provide a clinical and imaging focused update, and importantly outline the imaging protocols, diagnostic and prognostic utility of multimodality cardiac imaging in the assessment of cardiac amyloidosis.

Background/Introduction Multi-modality imaging is crucial for confirming diagnosis and assessing prognosis in patients with hypertrophic cardiomyopathy (HCM). However, inter-modality discrepancies in key parameters are commonly reported. Purpose To assess real-world inter-modal reporting discrepancies between transthoracic echocardiography (TTE) and cardiac magnetic resonance (CMR) imaging in the measurement of four key parameters in HCM patients. Methods Consecutive HCM patients with TTE and CMR performed within 6 months of each other at a tertiary centre were retrospectively assessed for reported maximum wall thickness (MWT), left atrial diameter (LAd), left ventricular ejection fraction (LVEF) and presence of left ventricular apical aneurysm (LVAA). The CMR report was considered gold standard. Data are reported as mean ± standard deviation (SD) or median and interquartile range (IQR) as appropriate. Results 353 consecutive HCM patients (72% male, median age 60.9 years, IQR 49.8–71.6 years) with TTE and CMR within 6 months (median difference 1.7 months, IQR 1.1–3.4 months) were assessed between 4th January 2018 and 9th April 2019. Of 284 patients with paired MWT data, median difference was 0.0 mm (IQR −1.0 to 3.0 mm, p=0.02), likely representing a difference in distributions of MWT. TTE both over and underestimated MWT (in 36% and 46% cases respectively). Of the 94 patients with paired LAd data, mean difference was 0.4±5.7 mm (95% CI −0.8010 to 1.546, p=0.5). N=320 patients with paired LVEF data (after excluding patients with atrial fibrillation (n=20)). Median difference in LVEF was 12% (IQR 5–19% p LVAA was accurately identified by TTE in only 9/30 (30%) of those patients with demonstrable LVAA by CMR (p=0.0008). TTE evidence of a discreet apical chamber (paradoxical jet on spectral or colour Doppler) was present in 16/21 (76%) cases where TTE failed to overtly identify LVAA. However, apical or mid-cavity obliteration was reported in 15/21 (71%) cases where TTE failed to identify LVAA. Conclusion(s) Echocardiography and CMR measurements are often used interchangeably in clinical practice but inter-modality discrepancies can affect diagnosis and sudden cardiac death (SCD) risk assessment. This is particularly important for binary risk factors such as LVEF Funding Acknowledgement Type of funding sources: None.

Simple Summary The lymphatic system is an essential component of the human circulatory system that plays a critical role in antigen presentation, mounting immune reactions, gastrointestinal tract lipid absorption, and maintenance of interstitial homeostasis. This complex network of specially adapted vessels and lymphoid organs also represents major pathway for cancer spread. Knowledge of lymphatic anatomy, physiology, and expected imaging appearances is crucial in understanding the pattern of cancer spread, with great implications for treatment and management. In this review article, we discuss lymphatic anatomy, physiology, imaging techniques, and radiographic appearances of cancer spread with relevant illustrative cases. Abstract The lymphatic system is an anatomically complex vascular network that is responsible for interstitial fluid homeostasis, transport of large interstitial particles and cells, immunity, and lipid absorption in the gastrointestinal tract. This network of specially adapted vessels and lymphoid tissue provides a major pathway for metastatic spread. Many malignancies produce vascular endothelial factors that induce tumoral and peritumoral lymphangiogenesis, increasing the likelihood for lymphatic spread. Radiologic evaluation for disease staging is the cornerstone of oncologic patient treatment and management. Multiple imaging modalities are available to access both local and distant metastasis. In this manuscript, we review the anatomy, physiology, and imaging of the lymphatic system.

Background Widespread abnormalities of the myocardium have been reported in patients with COVID-19. However, these patients often have substantial co-morbidities and it is essential to understand whether cardiac abnormalities represent pre-existing disease or are the consequence of COVID-19. Objective To determine the contribution and cardiac impact of co-morbidities in patients who have recovered from COVID-19. Methods In a prospective observational study, adult patients hospitalized with confirmed COVID-19 were recruited from the Edinburgh Heart Centre between May and November 2020 and compared to healthy and co-morbidity-matched volunteers. Patients underwent gadolinium and manganese-enhanced magnetic resonance imaging and coronary computed tomography angiography. Results Twenty-three patients (54±11 years, 20 male) who recovered from COVID-19 were recruited. Half (n=11, 48%) required admission to the intensive care unit and a third (n=7, 31%) received non-invasive or invasive ventilation. Patients had a high prevalence of known cardiovascular disease (n=18, 78%), associated risk factors (n=11, 45%) and coronary artery disease (n=8, 35%). Compared with younger healthy volunteers (n=10), myocardial native T1 values (1202±25 versus 1162±27 ms, P=0.008, figure 1) and extracellular volume fraction (31.9±1.7 versus 29.8±0.5 %, P=0.001, figure 1) were higher with no differences in manganese uptake. Compared to co-morbidity-matched volunteers (n=20), there were no differences in native T1 values (1202±25 versus 1196±39 ms, P=0.61, figure 1), extracellular volume fraction (31.9±1.7 versus 31.0±0.5 %, P=0.11), presence of late gadolinium enhancement or manganese uptake. These findings remained irrespective of COVID-19 disease severity, presence of concomitant myocardial injury or coronary artery disease. Conclusions Patients who have recovered following hospitalization with COVID-19 have no evidence of a major excess in myocardial injury or dysfunction compared to co-morbidity-matched volunteers. The presence of co-morbidities likely explains many of the previously reported myocardial abnormalities. Conflict of Interest None

Background We piloted a curriculum combining a flipped classroom with two-stage narration, role-play, and partial task trainer simulation to teach this critical skill to trainees. Methods This “flipped classroom” module (2012–2018) for open and percutaneous cricothyroidotomy (OC and PC) required participants to watch two 4 min training videos for OC and PC. The simulation session consisted of a 45-min hands-on simulation of OC and PC in which participants rotated between the roles of operator, narrator, and critiquer. Median performance scores were calculated. Results 103 trainees were evaluated. The median performance score was 14 out of maximum 14 (range: 9–14) across all trainees for OC. The median performance score was 13 out of maximum 13 (range: 3–13) across all trainees for PC. Conclusion A multi-modality approach including the flipped classroom, role-play, and partial task trainer simulation is an efficient and effective method for teaching trainees proficiency in short, single operator procedures.

The approach to the radiographic diagnosis of bone tumors is much beyond the conventional radiographs in present era of multiplanar and functional imaging. Radiographs is still the most pertinent part of initial diagnosis of bone tumors, however, there are few limitations, like lesions in complex anatomy, marrow assessment, soft tissue resolution, which are important for staging. Diagnosis is just one aspect of the tumor evaluation, extent of marrow involvement by the tumor growth, involvement of overlying soft tissue, involvement of adjacent joint, and knowledge about skip lesions and metastasis are equally important for staging and treatment of the disease. Multimodality imaging like CT, MRI helps cover all these aspects. Emerging role of PETCT/PET MRI has further revolutionized the imaging of bone tumors by providing anatomical and morphological characteristics simultaneously and combining the whole body scan in same sitting. This article will discuss the role of various imaging modalities along with illustrative examples of few cases. Team work between radiologist with orthopedic oncologist and pathologist will help in deciding a road map for diagnosing and treatment of bone tumors. Follow up scanning with MRI and PET FDG scan has also been well established in assessing therapeutic response.

This review summarizes key imaging studies that were presented at the American Heart Association Scientific Sessions 2018 in Chicago related to the fields of nuclear cardiology (including single photon emission computed tomography and positron emission tomography), cardiac computed tomography, cardiac magnetic resonance, and echocardiography. The aim of this bird's eye view is to inform readers of the various studies discussed at the meeting from these imaging modalities. While this review is directed to the benefit of those of us who were not able to attend the conference, we find that a general overview may also be useful to those that did since it is often difficult to get exposure to all abstracts at large meetings. Further, we hope that the presentation of multiple imaging studies in a single synthesized review will stimulate new ideas for future research in imaging.

Sleepiness has been recognized as a causal factor in many round-the-clock industries. While individuals can subjectively express their momentary sleepiness level, sleepiness-related contextual factors (CF) can influence their perception of sleepiness and cognitive performance. In this paper, the self-reported sleepiness value (vSRS) was improved by transforming it into a kernel density estimate and the assignment of the class's score is done using a likelihood ratio test (IvSRS). We integrated multiple CF and IvSRS to model sleepiness using a Bayesian network (BN). The BN produced a single probability estimate calculated based on the prior and posterior probability of the CF and IvSRS. The results showed IvSRS performed better (p 1-measure > 78%.

Takotsubo cardiomyopathy (TC) is an acute but reversible non-ischemic heart failure syndrome. It is characterized by a transient form of ventricular dysfunction typically manifesting as basal hyperkinesis with hypokinesia and ballooning of left ventricle mid-cavity and apex. Imaging helps in both diagnosis and follow up. Echocardiogram is the first-line modality to assess the typical contractile dysfunction in suspected patients with catheter angiography showing normal coronary arteries. Cardiac MRI is currently the modality of choice for the non-invasive initial assessment of TC and for follow up imaging. The current review focusses on historical background of TC, its pathophysiology, diagnostic work up and differential diagnosis and provides multimodality imaging work up of TC including role of echocardiogram, invasive catheterization, nuclear imaging, cardiac computed tomography and cardiac MRI including basic and advanced MRI sequences.

Hereditary transthyretin amyloidosis (ATTRv) gives rise to varying patterns of multi-organ amyloid infiltration, characteristically with cardiomyopathic and/or neuropathic phenotypes. Splenic amylo...

IntroductionFaecal transplantation is an evidence based treatment forClostridiodes difficile. Patients infected with SARS-CoV-2 have been shown to shed the virus in stool for up to 33 days, well beyond the average clearance time for upper respiratory tract shedding. We carried out an analytical and clinical validation of reverse-transcriptase quantitative (RT-qPCR) as well as LAMP, LamPORE and droplet digital PCR in the detection of SARS-CoV-2 RNA in stool from donated samples for FMT, spiked samples and asymptomatic inpatients in an acute surgical unit.MethodsKilled SARS-CoV-2 viral lysate and extracted RNA was spiked into donor stool & FMT and a linear dilution series from 10−1to 10−5and tested via RT-qPCR, LAMP, LamPORE and ddPCR against SARS-CoV-2. Patients admitted to the critical care unit with symptomatic SARS-CoV-2 and sequential asymptomatic patients from acute presentation to an acute surgical unit were also tested.ResultsIn a linear dilution series, detection of the lowest dilution series was found to be 8 copies per microlitre of sample. Spiked lysate samples down to 10−2dilution were detected in FMT samples using RTQPCR, LamPORE and ddPCR and down to 10−1with LAMP. In symptomatic patients 5/12 had detectable SARS-CoV-2 in stool via RT-qPCR and 6/12 via LamPORE, and in 1/97 asymptomatic patients via RT-qPCR.ConclusionsRT-qPCR can be detected in FMT donor samples using RT-qPCR, LamPORE and ddPCR to low levels using validated pathways. As previously demonstrated, nearly half of symptomatic and less than one percent of asymptomatic patients had detectable SARS-CoV-2 in stool.

Perineural invasion (PNI) as a grossly underreported independent risk predictor in rectal cancer is hard to identify preoperatively. We aim to predict PNI status in rectal cancer using multi-modality radiomics. In total, 396 radiomics features were extracted from T2-weighted images (T2WIs), diffusion-weighted images (DWIs), and portal venous phase of contrast-enhanced CT (CE-CT) respectively of 94 consecutive patients with histologically confirmed rectal cancer. T2WI score, DWI score, and CT score were calculated via the radiomics features selection and optimization. Discrimination, calibration, and clinical benefit ability were used to evaluate the performance of the radiomics scores in both training and testing datasets. CT score and T2WI score were independent risk predictors [CT score, OR (95% CI) = 4.218 (1.070–16.620); T2WI score, OR (95% CI) = 105.721 (3.091–3615.790)]. The concise score which combined CT score and T2WI score, showed the best performance [training dataset, AUC (95% CI) = 0.906 (0.833–0.979); testing dataset, AUC (95% CI) = 0.884 (0.761–1.000)] and good calibration (P > 0.05 in the Hosmer–Lemeshow test for the training and testing datasets). Decision curve analysis showed that the multi-modality radiomics nomogram had a higher clinical net benefit. The multi-modality radiomics score could be used to preoperatively assess PNI status in rectal cancer.

Alzheimer’s disease (AD) is a neurodegenerative brain disease in the elderly. Identifying patients with mild cognitive impairment (MCI) who are more likely to progress to AD is a key step in AD prevention. Recent studies have shown that AD is a heterogeneous disease. In this study, we propose a subtyping-based prediction strategy to predict the conversion from MCI to AD in three years according to MCI patient subtypes. Structural magnetic resonance imaging (sMRI) data and multi-omics data, including genotype data and gene expression profiling derived from peripheral blood samples, from 125 MCI patients were used in the Alzheimer’s Disease Neuroimaging Initiative (ADNI)-1 dataset and from 98 MCI patients in the ADNI-GO/2 dataset. A variational Bayes approximation model based on the multiple kernel learning method was constructed to predict whether an MCI patient will progress to AD within three years. In internal fivefold cross-validation within ADNI-1, we achieved an overall AUC of 0.83 (79.20% accuracy, 81.25% sensitivity, 77.92% specificity) compared to the model without subtyping, which achieved an AUC of 0.78 (76.00% accuracy, 77.08% sensitivity, 75.32% specificity). In external validation using ADNI-1 as a training set and ADNI-GO/2 as an independent test set, we attained an AUC of 0.78 (74.49% accuracy, 74.19% sensitivity, 74.63% specificity). Identifying MCI patient subtypes with omics data would improve the accuracy of predicting the conversion from MCI to AD. In addition to evaluating statistics, obtaining the significant sMRI, single nucleotide polymorphism (SNP) and mRNA expression data from peripheral blood of MCI patients is noninvasive and cost-effective for predicting conversion from MCI to AD.

Noninvasive cardiac imaging is crucial for the characterization of patients who are candidates for cardiac ablations, for both procedure planning and long-term management. Multimodality cardiac imaging can provide not only anatomical parameters but even more importantly functional information that may allow a better risk stratification of cardiac patients. Moreover, fusion of anatomical and functional data derived from noninvasive cardiac imaging with the results of endocavitary mapping may possibly allow a better identification of the ablation substrate and also avoid peri-procedural complications. As a result, imaging-guided electrophysiological procedures are associated with an improved outcome than traditional ablation procedures, with a consistently lower recurrence rate.

A young and healthy woman presented with progressive dyspnea on exertion. An echocardiogram showed a giant right atrial mass. Cardiac CT angiography provided the most accurate estimate for the tumor size, while 2-D echo, 2-D, and 3-D trans-esophageal echo underestimated the dimensions of the cardiac tumor when referenced by the surgical specimen. We also calculated the growth rate of the right atrial myxoma to be at least 1.2 mm per month based on a normal chest CT 54 months before her presentation. Surgical pathology confirmed typical features of cardiac myxoma in the right atrium.

Several studies have demonstrated that severe tricuspid regurgitation (TR) has a significant negative impact on morbidity and mortality. Nowadays, several therapeutic options to treat TR are available and patients at high surgical risk can also be treated with transcatheter procedures. For the management of patients with TR, an accurate assessment of the tricuspid valve and its surrounding structures is therefore of crucial importance and has gained significant interest in the medical community. Different imaging modalities can provide detailed information on the tricuspid valve apparatus, right ventricle, right atrium, and coronary circulation which are fundamental to define the timing and anatomic suitability of surgical and percutaneous procedures. The present review illustrates the role of 2D and 3D echocardiography, cardiac magnetic resonance, and multidetector row computed tomography for the assessment of the tricuspid valve and right heart with a particular focus on the data needed for planning and guiding interventional procedures.

Background: Manual delineation of gross tumor volume (GTV) is essential for radiotherapy treatment planning, but it is time-consuming and suffers inter-observer variability (IOV). In clinics, CT, PET, and MRI are used to inform delineation accuracy due to their different complementary characteristics. This study aimed to investigate deep learning to assist GTV delineation in head and neck squamous cell carcinoma (HNSCC) by comparing various modality combinations. Materials and methods: This retrospective study had 153 patients with multiple sites of HNSCC including their planning CT, PET, and MRI (T1-weighted and T2-weighted). Clinical delineations of gross tumor volume (GTV-T) and involved lymph nodes (GTV-N) were collected as the ground truth. The dataset was randomly divided into 92 patients for training, 31 for validation, and 30 for testing. We applied a residual 3 D UNet as the deep learning architecture. We independently trained the UNet with four different modality combinations (CT-PET-MRI, CT-MRI, CT-PET, and PET-MRI). Additionally, analogical to post-processing, an average fusion of three bi-modality combinations (CT-PET, CT-MRI, and PET-MRI) was produced as an ensemble. Segmentation accuracy was evaluated on the test set, using Dice similarity coefficient (Dice), Hausdorff Distance 95 percentile (HD95), and Mean Surface Distance (MSD). Results: All imaging combinations including PET provided similar average scores in range of Dice: 0.72-0.74, HD95: 8.8-9.5 mm, MSD: 2.6-2.8 mm. Only CT-MRI had a lower score with Dice: 0.58, HD95: 12.9 mm, MSD: 3.7 mm. The average of three bi-modality combinations reached Dice: 0.74, HD95: 7.9 mm, MSD: 2.4 mm. Conclusion: Multimodal deep learning-based auto segmentation of HNSCC GTV was demonstrated and inclusion of the PET image was shown to be crucial. Training on combined MRI, PET, and CT data provided limited improvements over CT-PET and PET-MRI. However, when combining three bimodal trained networks into an ensemble, promising improvements were shown.

Objectives: To investigate trends observed in a decade of published research on multimodality PET(/CT)+MR imaging in abdominal oncology, and to explore how these trends are reflected by the use of multimodality imaging performed at our institution. Methods: First, we performed a literature search (2009–2018) including all papers published on the multimodality combination of PET(/CT) and MRI in abdominal oncology. Retrieved papers were categorized according to a structured labelling system, including study design and outcome, cancer and lesion type under investigation and PET-tracer type. Results were analysed using descriptive statistics and evolutions over time were plotted graphically. Second, we performed a descriptive analysis of the numbers of MRI, PET/CT and multimodality PET/CT+MRI combinations (performed within a ≤14 days interval) performed during a similar time span at our institution. Results: Published research papers involving multimodality PET(/CT)+MRI combinations showed an impressive increase in numbers, both for retrospective combinations of PET/CT and MRI, as well as hybrid PET/MRI. Main areas of research included new PET-tracers, visual PET(/CT)+MRI assessment for staging, and (semi-)quantitative analysis of PET-parameters compared to or combined with MRI-parameters as predictive biomarkers. In line with literature, we also observed a vast increase in numbers of multimodality PET/CT+MRI imaging in our institutional data. Conclusions: The tremendous increase in published literature on multimodality imaging, reflected by our institutional data, shows the continuously growing interest in comprehensive multivariable imaging evaluations to guide oncological practice. Advances in knowledge: The role of multimodality imaging in oncology is rapidly evolving. This paper summarizes the main applications and recent developments in multimodality imaging, with a specific focus on the combination of PET+MRI in abdominal oncology.

This review summarizes key imaging studies that were presented at the American Heart Association Scientific Sessions 2020, which occurred virtually this year due to the pandemic, related to the fields of single-photon emission computed tomography, positron emission tomography, cardiac computed tomography, cardiac magnetic resonance, and echocardiography. The aim of this bird's eye view is to inform readers of the various studies discussed at the meeting from these imaging modalities. Since there was no physical attendance this year, we find that a general overview of imaging will be especially useful. Further, we hope that the presentation of multiple imaging studies in a single synthesized review will stimulate new ideas for future research in imaging.

We report a COVID19 case with acute heart and kidney failure in a healthy young male. Echocardiography showed severe systolic and diastolic left ventricle dysfunction, with diffuse myocardial thickening. Cardiac MRI showed aspects of focal myocarditis, and hypertensive cardiomyopathy. Renal biopsy demonstrated limited acute tubular injury, and hypertensive kidney disease. Coronary angiography excluded critical stenoses. Unlike what we initially suspected, myocardial inflammation had a limited extent in our patient; severe hypertension causing cardiomyopathy and multi-organ damage, not diagnosed before, was primarily responsible for severe illness. Correct diagnosis and guidelines-directed treatment allowed a favorable course.

Lacrimal gland adenoid cystic carcinoma (AdCC) is associated with an aggressive clinical course and grave prognosis. A high grade transformation within adenoid cystic carcinoma of lacrimal gland is a rare condition which is even more locally aggressive with frequent neck and distant metastasis. We present a case of left lacrimal gland adenoid cystic carcinoma with high grade transformation to adenocarcinoma NOS type presenting with orbital pain and proptosis. After thorough evaluation for locoregional and distant spread of the disease, the patient underwent left orbital exenteration with orbitectomy and neck dissection with free flap reconstruction. Patient received adjuvant radiation therapy and is presently disease free for last 6 months. A multi-modality management protocol involving surgery, radiotherapy and chemotherapy has been proposed for management of lacrimal gland AdCC with high grade transformation. We report the 4th case in the literature of lacrimal gland adenoid cystic carcinoma with high grade transformation.

Cardiac amyloidosis (CA) is a unique disease entity involving an infiltrative process, typically resulting in a restrictive cardiomyopathy with diastolic heart failure that ultimately progresses to systolic heart failure. The two most common subtypes are light-chain and transthyretin amyloidosis. Early diagnosis of this disease entity, especially light-chain CA subtype, is crucial, as it portends a poorer prognosis. This review focuses on the clinical utility of the various imaging modalities in the diagnosis and differentiation of CA subtypes. This review also aims to highlight the key advances in each of the imaging modalities in the diagnosis and prognostication of CA.

Heart failure (HF) is recognized as a leading cause of morbidity and mortality worldwide. Dilated cardiomyopathy (DCM) is a common phenotype in patients presenting with HF. Timely diagnosis, appropriate identification of the underlying cause, individualized risk stratification, and prediction of clinical response to treatment have improved the prognosis of DCM over the last few decades. In this article, we reviewed the current evidence on available imaging techniques used for DCM patients. In this direction, we evaluated appropriate scenarios for the implementation of echocardiography, nuclear imaging, and cardiac computed tomography, and we focused on the primordial role that cardiac magnetic resonance (CMR) holds in the diagnosis, prognosis, and tailoring of therapeutic options in this population of special clinical interest. We explored the predictive value of CMR toward left ventricular reverse remodeling and prediction of sudden cardiac death, thus guiding the decisions for device therapy. Principles underpinning the use of state-of-the-art CMR techniques such as parametric mapping and feature-tracking strain analysis are also provided, along with expectations for the anticipated future advances in this field. We also attempted to correlate the evidence with clinical practice, with the intent to address questions on selecting the optimal imaging method for different indications and clinical needs. Overall, we recommend a comprehensive assessment of DCM patients at baseline and at follow-up intervals depending on the clinical status, with the addition of CMR as a second-line modality to other imaging techniques. We also provide an algorithm to guide the detailed imaging approach of the patient with DCM. We expect that future guidelines will upgrade their clinical recommendations for the utilization of CMR in DCM, which is expected to further improve the quality of care and the outcomes. This review provides an up-to-date perspective on the imaging of dilated cardiomyopathy patients and will be of clinical value to training doctors and physicians involved in the area of heart failure.