Effect of Clemizole on Alpha-Synuclein-Preformed Fibrils-Induced Parkinson's Disease Pathology: A Pharmacological Investigation.

Parkinson's disease (PD) is a neurodegenerative disorder associated with mitochondrial dysfunctions and oxidative stress. However, to date, therapeutics targeting these pathological events have not managed to translate from bench to bedside for clinical use. One of the major reasons for the lack of translational success has been the use of classical model systems that do not replicate the disease pathology and progression with the same degree of robustness. Therefore, we employed a more physiologically relevant model involving alpha-synuclein-preformed fibrils (PFF) exposure to SH-SY5Y cells and Sprague Dawley rats. We further explored the possible involvement of transient receptor potential canonical 5 (TRPC5) channels in PD-like pathology induced by these alpha-synuclein-preformed fibrils with emphasis on amelioration of oxidative stress and mitochondrial health. We observed that alpha-synuclein PFF exposure produced neurobehavioural deficits that were positively ameliorated after treatment with the TRPC5 inhibitor clemizole. Furthermore, Clemizole also reduced p-alpha-synuclein and diminished oxidative stress levels which resulted in overall improvements in mitochondrial biogenesis and functions. Finally, the results of the pharmacological modulation were further validated using siRNA-mediated knockdown of TRPC5 channels, which also decreased p-alpha-synuclein expression. Together, the results of this study could be superimposed in the future for exploring the beneficial effects of TRPC5 channel modulation for other neurodegenerative disorders and synucleopathies.

Deep-learning enabled ultrasound based detection of gallbladder cancer in northern India: a prospective diagnostic study.

Background: Gallbladder cancer (GBC) is highly aggressive. Diagnosis of GBC is challenging as benign gallbladder lesions can have similar imaging features. We aim to develop and validate a deep learning (DL) model for the automatic detection of GBC at abdominal ultrasound (US) and compare its diagnostic performance with that of radiologists. Methods: In this prospective study, a multiscale, second-order pooling-based DL classifier model was trained (training and validation cohorts) using the US data of patients with gallbladder lesions acquired between August 2019 and June 2021 at the Postgraduate Institute of Medical Education and research, a tertiary care hospital in North India. The performance of the DL model to detect GBC was evaluated in a temporally independent test cohort (July 2021-September 2022) and was compared with that of two radiologists. Findings: The study included 233 patients in the training set (mean age, 48 ± (2SD) 23 years; 142 women), 59 patients in the validation set (mean age, 51.4 ± 19.2 years; 38 women), and 273 patients in the test set (mean age, 50.4 ± 22.1 years; 177 women). In the test set, the DL model had sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) of 92.3% (95% CI, 88.1-95.6), 74.4% (95% CI, 65.3-79.9), and 0.887 (95% CI, 0.844-0.930), respectively for detecting GBC which was comparable to both the radiologists. The DL-based approach showed high sensitivity (89.8-93%) and AUC (0.810-0.890) for detecting GBC in the presence of stones, contracted gallbladders, lesion size <10 mm, and neck lesions, which was comparable to both the radiologists (p = 0.052-0.738 for sensitivity and p = 0.061-0.745 for AUC). The sensitivity for DL-based detection of mural thickening type of GBC was significantly greater than one of the radiologists (87.8% vs. 72.8%, p = 0.012), despite a reduced specificity. Interpretation: The DL-based approach demonstrated diagnostic performance comparable to experienced radiologists in detecting GBC using US. However, multicentre studies are warranted to explore the potential of DL-based diagnosis of GBC fully. Funding: None.

Isolated cavernous venous malformation of the eyelid.

Cavernous hemangioma, currently known as "cavernous venous malformation," is a common, benign, non-infiltrative, slowly progressive vascular malformation of the orbit presenting in adults. We report the case of a 9-year-old girl who presented with a painless palpable mass over the right upper eyelid of 7 years' duration. A computed tomography scan of the orbits revealed a heterogeneously enhancing, well-circumscribed mass in the right upper eyelid with no orbital extension. A transcutaneous excisional biopsy with histopathology disclosed cavernous venous malformation. The majority of cavernous venous malformations are intraconal and present in the fourth to fifth decade of life.

Contrast Enhanced CT Versus MRI for Accurate Diagnosis of Wall-thickening Type Gallbladder Cancer.

Introduction: Diagnosis of wall-thickening type gallbladder cancer (GBC) is challenging. Computed tomography (CT) and magnetic resonance imaging (MRI) are commonly utilized to evaluate gallbladder wall thickening. However, there is a lack of data comparing the performance of CT and MRI for the detection of wall-thickening type GBC. Aim: We aim to compare the diagnostic accuracy of CT and MRI in diagnosis of wall-thickening type GBC. Materials and methods: This prospective study comprised consecutive patients suspected of wall-thickening type GBC who underwent preoperative contrast-enhanced CT and MRI. The final diagnosis was based on the histopathology of the resected gallbladder lesion. Two radiologists independently reviewed the characteristics of gallbladder wall thickening at CT and MRI. The association of CT and MRI findings with histological diagnosis and the interobserver agreement of CT and MRI findings were assessed. Results: Thirty-three patients (malignancy, 13 and benign, 20) were included. None of the CT findings were significantly associated with GBC. However, at MRI, heterogeneous enhancement, indistinct interface with the liver, and diffusion restriction were significantly associated with malignancy (P = 0.006, <0.001, and 0.005, respectively), and intramural cysts were significantly associated with benign lesions (P = 0.012). For all MRI findings, the interobserver agreement was substantial to perfect (kappa = 0.697-1.000). At CT, the interobserver agreement was substantial to perfect (k = 0.631-1.000). Conclusion: These findings suggest that MRI may be preferred over CT in patients with suspected wall thickening type GBC. However, larger multicenter studies must confirm our findings.

Agreement of Gallbladder Reporting and Data System for Gallbladder Wall Thickening at Ultrasonography: A Multireader Validation Study.

Objective: This article aims to evaluate the intrareader and interreader agreement of ultrasound (US) gallbladder reporting and data system (GB-RADS) and validate the risk of malignancy in each GB-RADS category. Materials and methods: This retrospective study comprised consecutive patients with nonacute gallbladder wall thickening who underwent US evaluation between January 2019 and December 2022. Three radiologists independently read the static US images and cine-loops for GB-RADS findings and assigned GB-RADS categories. The intraobserver (static images) and interobserver (static images and cine-loops) agreement was calculated using kappa statistics and Krippendorff's alpha. Another radiologist assigned a consensus GB-RADS category. The percentage of malignancy in each GB-RADS category was calculated. Results: Static US images of 414 patients (median age, 56 years; 288 women, benign = 45.6% and malignant = 54.4%) and cine-loops of 50 patients were read. There was weak to moderate intrareader agreement for most GB-RADS findings and moderate intrareader agreement for the GB-RADS category for all readers. On static images, the interreader agreement was acceptable for GB-RADS categories. On cine-loops, the interreader agreement for GB-RADS findings and categories was better than static images. The percentage of malignancy was 1.2%, 37%, 71.1%, and 89.1% in GB-RADS 2, 3, 4, and 5 categories. Conclusion: GB-RADS has moderate intrareader for GB-RADS categories. As originally proposed, the risk of malignancy is negligible in GB-RADS 2 category and highest in GB-RADS 5 category. However, the discriminatory performance of GB-RADS 3 and 4 categories is low. Larger multicenter studies with more readers must assess the reader agreement and validate the GB-RADS systems for wider clinical utilization.

Abbreviated magnetic resonance imaging in hepatocellular carcinoma surveillance: A review.

Hepatocellular carcinoma (HCC) is one of the most common primary malignancies of the liver and a leading cause for cancer-related deaths worldwide. HCC surveillance aims at early detection. The recommended strategy for screening HCC is biannual ultrasound with or without alpha-fetoprotein. However, this strategy is associated with sub-optimal sensitivity. Abbreviated magnetic resonance imaging (AMRI) is a promising alternative to ultrasound (US) for surveillance of HCC. The data regarding the role of AMRI in HCC screening is evolving. There are different AMRI protocols, each having its merits and disadvantages. In this review, we discuss the need for AMRI, protocols of AMRI and hindrances to widespread adoption of AMRI.

Applications of artificial intelligence in biliary tract cancers.

Biliary tract cancers are malignant neoplasms arising from bile duct epithelial cells. They include cholangiocarcinomas and gallbladder cancer. Gallbladder cancer has a marked geographical preference and is one of the most common cancers in women in northern India. Biliary tract cancers are usually diagnosed at an advanced, unresectable stage. Hence, the prognosis is extremely dismal. The five-year survival rate in advanced gallbladder cancer is < 5%. Hence, early detection and radical surgery are critical to improving biliary tract cancer prognoses. Radiological imaging plays an essential role in diagnosing and managing biliary tract cancers. However, the diagnosis is challenging because the biliary tract is affected by many diseases that may have radiological appearances similar to cancer. Artificial intelligence (AI) can improve radiologists' performance in various tasks. Deep learning (DL)-based approaches are increasingly incorporated into medical imaging to improve diagnostic performance. This paper reviews the AI-based strategies in biliary tract cancers to improve the diagnosis and prognosis.

Outcomes of Self-expandable Metal Stents in Patients With Unresectable Gallbladder Cancer Undergoing Percutaneous Biliary Drainage.

Background: Biliary obstruction in gallbladder cancer (GBC) is associated with worse prognosis and needs drainage. In patients with biliary confluence involvement, percutaneous biliary drainage (PBD) is preferred over endoscopic drainage. However, PBD catheters are associated with higher complications compared to endoscopic drainage. PBD with self-expandable metal stents (SEMS) is desirable for palliation. However, the data in patients with unresectable GBC is lacking. Materials and methods: This retrospective study comprised consecutive patients with proven GBC who underwent PBD-SEMS insertion between January 2021 and December 2022. Technical success, post-procedural complications, clinical success, duration of stent patency, and biliary reinterventions were recorded. Clinical follow-up data was analysed at 30 days and 180 days of SEMS insertion and mortality was recorded. Results: Of the 416 patients with unresectable GBC, who underwent PBD, 28 (median age, 50 years; 16 females) with PBD-SEMS insertion were included. All SEMS placement procedures were technically successful. There were no immediate/early post-procedural complications/deaths. The procedures were clinically successful in 63.6% of the patients with hyperbilirubinemia (n = 11). Biliary re-interventions were done in 6 (21.4%). The survival rate was 89.3 % (25/28) at 30 days and 50% at 180 days. The median follow-up duration was 80 days (range, 8-438 days). Conclusion: PBD-SEMS has moderate clinical success and 6-months patency in almost half of the patients with metastatic GBC and must be considered for palliation.

Artificial intelligence for discrimination of Crohn's disease and gastrointestinal tuberculosis: A systematic review.

BACKGROUND AND AIM: Discrimination of gastrointestinal tuberculosis (GITB) and Crohn's disease (CD) is difficult. Use of artificial intelligence (AI)-based technologies may help in discriminating these two entities. METHODS: We conducted a systematic review on the use of AI for discrimination of GITB and CD. Electronic databases (PubMed and Embase) were searched on June 6, 2022, to identify relevant studies. We included any study reporting the use of clinical, endoscopic, and radiological information (textual or images) to discriminate GITB and CD using any AI technique. Quality of studies was assessed with MI-CLAIM checklist. RESULTS: Out of 27 identified results, a total of 9 studies were included. All studies used retrospective databases. There were five studies of only endoscopy-based AI, one of radiology-based AI, and three of multiparameter-based AI. The AI models performed fairly well with high accuracy ranging from 69.6-100%. Text-based convolutional neural network was used in three studies and Classification and regression tree analysis used in two studies. Interestingly, irrespective of the AI method used, the performance of discriminating GITB and CD did not match in discriminating from other diseases (in studies where a third disease was also considered). CONCLUSION: The use of AI in differentiating GITB and CD seem to have acceptable accuracy but there were no direct comparisons with traditional multiparameter models. The use of multiple parameter-based AI models have the potential for further exploration in search of an ideal tool and improve on the accuracy of traditional models.

Proposal for a new morphological "combined type" of gallbladder cancer: description of radiopathological characteristics and comparison with other morphological types.

OBJECTIVE: To describe the radiopathological characteristics of a new morphological "combined type" of gallbladder cancer (GBC) and compare it with the mass replacing gallbladder and thickening types of GBC. MATERIALS AND METHODS: The imaging and pathological details of consecutive patients with GBC between August 2020 and December 2022 were retrospectively reviewed. Two radiologists reviewed computed tomography/magnetic resonance imaging in consensus for the morphological type of GBC. The radiologists classified GBC as mass replacing gallbladder, wall thickening, and combined type. The combined type was defined as a mass arising from the thickened wall of an adequately distended gallbladder that extended exophytically into the adjacent liver parenchyma. The presence of calculi, site, and size of lesion, biliary/portal vein involvement, liver, lymph node, and omental metastases was compared among the various types. The pathological characteristics were also compared. RESULTS: Of the 481 patients (median age 55 years, 63.2% females) included in the study, mass replacing gallbladder, wall thickening, and combined-type GBC were seen in 42.8% (206/481), 40.5% (195/481), and 16.6% (80/481) of patients, respectively. In the combined type of GBC, biliary/portal vein involvement was seen in 63.7% (51/80) and 7.5% (6/80) of patients. Liver, lymph node, and omental metastases were seen in 67.5% (54/80), 40% (32/80), and 41.2% (33/80) patients, respectively. Liver metastases were significantly more common in the combined type (p = 0.002). There were no significant differences in pathological characteristics among the various types. CONCLUSION: Combined-type GBC is less common than the mass replacing gallbladder and thickening types and is associated with a higher risk of liver metastases.

Treatment Patterns and Outcomes in U.S. Military Veterans Diagnosed With Chronic Lymphocytic Leukemia (CLL).

INTRODUCTION: U.S. veterans in the Veterans Affairs (VA) Healthcare System are managed in a national single-payer system with access to FDA-approved therapies. Prescribing patterns and outcomes of patients with CLL manage in the VA system are described. PATIENTS AND METHODS: This is a retrospective analysis of adult patients diagnosed with CLL managed in the VA from January 1999 through December 2020. First line treatment patterns are trended over 20 years. Factors associated with survival were analyzed in both untreated and treated patients. RESULTS: In the final analysis, 16,331 patients with CLL were included. The median overall survival (OS) for the whole cohort was 8.7 years (95% confidence interval [CI], 8.6-8.9). The median OS from diagnosis was 8.9 years (95% CI, 8.6-9.2 in untreated patients with CLL. In treated patients, the median time to first line treatment was 1.9 years (range, 0-21 years), and the median OS from initiation of treatment was 5.0 years (95% CI, 4.8-5.2). First line treatments varied over time, consistent with FDA approval of targeted therapies. Exposure to targeted therapies as either first line or in subsequent lines of therapy was associated longer survival: median OS of 8.5 years (95% CI, 8.0-9.1) compared to 3.5 years (95% CI, 3.5-3.9) in patients who never received targeted therapy (P < .0001). CONCLUSION: Patients treated in the VA have received therapies in line with current evidence-based treatment practices over the past 20 years. Treatment with targeted therapies is associated with longer median OS both in the first line and relapsed/refractory setting.

Autoimmune disorders of the gastrointestinal tract: Review of radiological appearances.

Autoimmune gastrointestinal (GI) disorders comprise a heterogeneous group of diseases with non-specific clinical manifestations. These are divided into primary and secondary. A high index of clinical suspicion complemented with endoscopic and radiological imaging may allow early diagnosis. Due to the relatively low incidence of autoimmune disorder, the imaging literature is sparse. In this review, we outline the pathogenesis, classification, and imaging appearances of autoimmune GI disorders.

Imaging update on gallbladder adenomyomatosis and its mimics.

Radiologists across many imaging modalities commonly encounter gallbladder adenomyomatosis. The classic imaging appearances of gallbladder adenomyomatosis are well described and confirm benignity. However, in clinical practice, adenomyomatosis can be challenging to differentiate from other gallbladder pathologies that require cholecystectomy. In this article, we describe the common and uncommon appearances of gallbladder adenomyomatosis on multimodality imaging, helping differentiate adenomyomatosis from non-benign gallbladder abnormalities. Accurately differentiating adenomyomatosis from its mimics provides the surgical team with important clinical and surgical management information, improving patient outcomes.

Diagnostic Performance of Abbreviated MRI for HCC Detection in Patients with Non-alcoholic Fatty Liver Disease.

Background/Aim: Hepatocellular carcinoma (HCC) surveillance is recommended in nonalcoholic fatty liver disease (NAFLD)-related cirrhosis. The performance of ultrasound (US) is impaired in NAFLD. This study aimed to evaluate the diagnostic performance of non-contrast abbreviated magnetic resonance imaging (AMRI) for HCC detection in NAFLD. Methods: Consecutive contrast-enhanced magnetic resonance imaging (CE-MRI) scans of NAFLD patients between June 2017 and December 2021 were retrieved. A radiologist extracted and anonymized a noncontrast AMRI dataset comprising T2-weighted, T1-weighted, and diffusion-weighted imaging (DWI) sequences. Two radiologists blinded to CE-MRI reports and treatment details independently reviewed the AMRI for liver lesion and portal vein (PV) characteristics. HCC and malignant PV thrombosis were diagnosed based on the original dynamic CE-MRI diagnostic reports. The diagnostic performance of AMRI and the interobserver agreement for detecting HCC and malignant PV thrombosis were calculated. Results: Seventy-five patients (52 males; mean age (±SD), 56 ± 17.6 years; 61 cirrhotic) were included. Nine patients had HCC (14 HCCs). The sensitivity, specificity, positive predictive value, and negative predictive value of AMRI for detecting HCC were 100%, 93.9%, 69.2%, and 100%, respectively, and malignant PV thrombosis was 100%, 98.5%, 80%, and 100%, respectively. There was substantial interobserver agreement for detecting HCC (kappa = 0.721) and malignant PV thrombosis (kappa = 0.645) on AMRI. Conclusion: AMRI has high diagnostic performance in HCC detection in patients with NAFLD. However, prospective studies must compare the diagnostic performance of AMRI with that of US.

Role of Computed Tomography Perfusion in Patients with Liver Cirrhosis and Hepatocellular Carcinoma.

Background: There is a lack of data on computed tomography (CT) perfusion parameters in patients with cirrhosis and the vascular changes that occur with increasing severity of cirrhosis, as well as changes that can occur in the remote/background liver parenchyma when hepatocellular carcinoma (HCC) develops. This study aimed to evaluate the association between CT perfusion parameters in the background liver parenchyma in cirrhotic patients with and without HCC. Methods: This prospective study comprised consecutive patients with cirrhosis with or without HCC. A CT perfusion scan of the whole liver was done on a 128-detector row CT scanner in the four-dimensional spiral mode. Arterial liver perfusion (ALP), portal venous perfusion (PVP), hepatic perfusion index (HPI), blood flow (BF), blood volume (BV), and time to peak (TTP) were assessed. The perfusion parameters of the background liver parenchyma (bALP, bPVP, bHPI, bBF, bBV, and bTTP) were compared between the patients with cirrhosis (group I) and cirrhosis with HCC (group II). Perfusion parameters were also compared between the background liver parenchyma and the HCC in group II. Results: Of the 93 patients evaluated during the study period, 60 patients (30 in group I and 30 in group II, mean age, 54.5 years, 53 men) were included in the analysis. Among the perfusion parameters in the background parenchyma, bPVP was lower and bHPI was higher in group II, suggesting increased hepatic arterial perfusion of even the remote background liver parenchyma in patients with HCC (P = 0.001 and P = 0.01, respectively). Perfusion parameters were significantly altered with increasing severity of cirrhosis (based on Child-Pugh class) both within and between groups. Additionally, there were significant differences in all the perfusion parameters between HCC and the background cirrhotic liver. Conclusion: HPI and PVP of background liver parenchyma were significantly different in cirrhosis with and without HCC and also showed a worsening trend with increasing grades of cirrhosis.

Imaging Diagnosis and Management of Fistulas in Pancreatitis.

Pancreatic fistula is a highly morbid complication of pancreatitis. External pancreatic fistulas result when pancreatic secretions leak externally into the percutaneous drains or external wound (following surgery) due to the communication of the peripancreatic collection with the main pancreatic duct (MPD). Internal pancreatic fistulas include communication of the pancreatic duct (directly or via intervening collection) with the pleura, pericardium, mediastinum, peritoneal cavity, or gastrointestinal tract. Cross-sectional imaging plays an essential role in the management of pancreatic fistulas. With the help of multiplanar imaging, fistulous tracts can be delineated clearly. Thin computed tomography sections and magnetic resonance cholangiopancreatography images may demonstrate the communication between MPD and pancreatic fluid collections or body cavities. Endoscopic retrograde cholangiography (ERCP) is diagnostic as well as therapeutic. In this review, we discuss the imaging diagnosis and management of various types of pancreatic fistulas with the aim to sensitize radiologists to timely diagnosis of this critical complication of pancreatitis.