Artificial intelligence in liver cancer research: a scientometrics analysis of trends and topics.

Background and aims: With the rapid growth of artificial intelligence (AI) applications in various fields, understanding its impact on liver cancer research is paramount. This scientometrics project aims to investigate publication trends and topics in AI-related publications in liver cancer. Materials and Methods: We employed a search strategy to identify AI-related publications in liver cancer using Scopus database. We analyzed the number of publications, author affiliations, and journals that publish AI-related publications in liver cancer. Finally, the publications were grouped based on intended application. Results: We identified 3950 eligible publications (2695 articles, 366 reviews, and 889 other document types) from 1968 to August 3, 2023. There was a 12.7-fold increase in AI-related publications from 2013 to 2022. By comparison, the number of total publications on liver cancer increased by 1.7-fold. Our analysis revealed a significant shift in trends of AI-related publications on liver cancer in 2019. We also found a statistically significant consistent increase in numbers of AI-related publications over time (tau = 0.756, p < 0.0001). Eight (53%) of the top 15 journals with the most publications were radiology journals. The largest number of publications were from China (n=1156), the US (n=719), and Germany (n=236). The three most common publication categories were "medical image analysis for diagnosis" (37%), "diagnostic or prognostic biomarkers modeling & bioinformatics" (19%), and "genomic or molecular analysis" (18%). Conclusion: Our study reveals increasing interest in AI for liver cancer research, evidenced by a 12.7-fold growth in related publications over the past decade. A common application of AI is in medical imaging analysis for various purposes. China, the US, and Germany are leading contributors.

Design and Rationale for the Use of Magnetic Resonance Imaging Biomarkers to Predict Diabetes After Acute Pancreatitis in the Diabetes RElated to Acute Pancreatitis and Its Mechanisms Study: From the Type 1 Diabetes in Acute Pancreatitis Consortium.

ABSTRACT: This core component of the Diabetes RElated to Acute pancreatitis and its Mechanisms (DREAM) study will examine the hypothesis that advanced magnetic resonance imaging (MRI) techniques can reflect underlying pathophysiologic changes and provide imaging biomarkers that predict diabetes mellitus (DM) after acute pancreatitis (AP). A subset of participants in the DREAM study will enroll and undergo serial MRI examinations using a specific research protocol. The aim of the study is to differentiate at-risk individuals from those who remain euglycemic by identifying parenchymal features after AP. Performing longitudinal MRI will enable us to observe and understand the natural history of post-AP DM. We will compare MRI parameters obtained by interrogating tissue properties in euglycemic, prediabetic, and incident diabetes subjects and correlate them with metabolic, genetic, and immunological phenotypes. Differentiating imaging parameters will be combined to develop a quantitative composite risk score. This composite risk score will potentially have the ability to monitor the risk of DM in clinical practice or trials. We will use artificial intelligence, specifically deep learning, algorithms to optimize the predictive ability of MRI. In addition to the research MRI, the DREAM study will also correlate clinical computed tomography and MRI scans with DM development.

Chemical Exchange Saturation Transfer for Pancreatic Ductal Adenocarcinoma Evaluation.

OBJECTIVES: The aims of the study are to evaluate the feasibility of using pH-sensitive magnetic resonance imaging, chemical exchange saturation transfer (CEST) in pancreatic imaging and to differentiate pancreatic ductal adenocarcinoma (PDAC) with the nontumor pancreas (upstream and downstream) and normal control pancreas. METHODS: Sixteen CEST images with PDAC and 12 CEST images with normal volunteers were acquired and magnetization transfer ratio with asymmetric analysis were measured in areas of PDAC, upstream, downstream, and normal control pancreas. One-way analysis of variance and receiver operating characteristic curve were used to differentiate tumor from nontumor pancreas. RESULTS: Areas with PDAC showed higher signal intensity than upstream and downstream on CEST images. The mean (standard deviation) values of magnetization transfer ratio with asymmetric analysis were 0.015 (0.034), -0.044 (0.030), -0.019 (0.027), and -0.037 (0.031), respectively, in PDAC area, upstream, downstream, and nontumor area in patient group and -0.008 (0.024) in normal pancreas. Significant differences were found between PDAC and upstream ( P < 0.001), between upstream and normal pancreas ( P = 0.04). Area under curve is 0.857 in differentiating PDAC with nontumor pancreas. CONCLUSIONS: pH-sensitive CEST MRI is feasible in pancreatic imaging and can be used to differentiate PDAC from nontumor pancreas. This provides a novel metabolic imaging method in PDAC.

Outcomes Following Percutaneous Cholecystostomy Tube Placement for Acalculous Versus Calculous Cholecystitis.

BACKGROUND: Acute acalculous cholecystitis (AAC) is often diagnosed in critically ill patients. Percutaneous cholecystostomy tube (PCT) placement facilitates less invasive gallbladder decompression in patients who are poor surgical candidates. Specific guidelines for optimal management of AAC patients following PCT placement remain to be defined. We hypothesize that AAC patients are at lower risk of recurrent cholecystitis than acute calculous cholecystitis (ACC) patients and do not require cholecystectomy after PCT placement. METHODS: A retrospective review of patients who underwent PCT placement for AAC or ACC between 6/1/2007 and 5/31/2019 was performed. Primary outcome was recurrent cholecystitis and interval cholecystectomy for patients surviving 30 days after PCT placement. Secondary outcome was 30 day mortality. A cox regression model calculated the adjusted hazard ratio (AHR) for the outcomes. RESULTS: Eighty-four AAC and 85 ACC patients underwent PCT placement. Compared to ACC patients, more AAC patients were male (72.6 vs. 48.2%; p < 0.01), younger (median age 62 vs. 73 years; p < 0.01), and required intensive care (69.0 vs. 52.9%; p = 0.04), with lower median Charlson Comorbidity Index (4.0 vs. 6.0; p < 0.01). 30 day mortality was higher among AAC patients than ACC patients (45.2 vs. 21.2%; p < 0.01). 2/24 (8.3%) AAC patients and 5/31 (16.1%) ACC patients developed recurrent cholecystitis at a median 208.0 days (IQR:64.0-417.0) after PCT placement and 115.0 days (IQR:7.0-403.0) following PCT removal. Cox regression analysis demonstrated that AAC patients had lower likelihood of interval cholecystectomy compared to ACC patients (AHR 2.35; 95% CI:1.11,4.96). CONCLUSION: Recurrent cholecystitis is rare in patients surviving 30 days following PCT placement. When compared with ACC patients, fewer AAC patients require cholecystectomy.

Percutaneous Cholecystostomy Tube for Acute Cholecystitis: Quantifying Outcomes and Prognosis.

BACKGROUND: Percutaneous cholecystostomy tubes (PCT) are utilized in the management of acute cholecystitis in patients deemed unsuitable for surgery. However, the drive for these decisions and the outcomes remain understudied. We sought to characterize the practices and utilization of PCT and evaluate associated outcomes at an urban medical center. METHODS: Patients undergoing PCT placement over a 12-y study period ending May 2019 were reviewed. Demographics, clinical presentation, labs, imaging studies, and outcomes were abstracted. The primary and secondary outcomes were 30-d mortality and interval cholecystectomy, respectively. RESULTS: Two hundred and four patients met inclusion criteria: 59.3% were male with a median age of 67.5 y and a National Surgical Quality Improvement Program (NSQIP) risk of serious complication of 8.0%. Overall, 57.8% of patients were located in an intensive care unit setting. The majority (80.9%) had an ultrasound and 48.5% had a hepatobiliary iminodiacetic acid scan. The overall 30-d mortality was 31.9%: 41.5% for intensive care unit and 18.6% for ward patients (P < 0.01). Of patients surviving beyond 30 d (n = 139), the PCT was removed from 106 (76.3%), and a cholecystectomy was performed in 55 (39.6%) at a median interval of 58.0 d. A forward logistic regression identified total bilirubin (Adjusted Odds Ratio: 1.12, adjusted P < 0.01) and NSQIP risk of serious complication (Adjusted Odds Ratio: 1.16, adjusted P < 0.01) as the only predictors for 30-d mortality. CONCLUSIONS: Patients selected for PCT placement have a high mortality risk. Despite subsequent removal of the PCT, the majority of surviving patients did not undergo an interval cholecystectomy. Total bilirubin and NSQIP risk of serious complication are useful adjuncts in predicting 30-d mortality in these patients.

Inter-observer variability of radiologists for Cambridge classification of chronic pancreatitis using CT and MRCP: results from a large multi-center study.

PURPOSE: Determine inter-observer variability among radiologists in assigning Cambridge Classification (CC) of chronic pancreatitis (CP) based on magnetic resonance imaging (MRI)/magnetic resonance cholangiopancreatography (MRCP) and contrast-enhanced CT (CECT). METHODS: Among 422 eligible subjects enrolled into the PROCEED study between 6/2017 and 8/2018, 39 were selected randomly for this study (chronic abdominal pain (n = 8; CC of 0), suspected CP (n = 22; CC of 0, 1 or 2) or definite CP (n = 9; CC of 3 or 4). Each imaging was scored by the local radiologist (LRs) and three of five central radiologists (CRs) at other consortium sites. The CRs were blinded to clinical data and site information of the participants. We compared the CC score assigned by the LR with the consensus CC score assigned by the CRs. The weighted kappa statistic (K) was used to estimate the inter-observer agreement. RESULTS: For the majority of subjects (34/39), the group assignment by LR agreed with the consensus composite CT/MRCP score by the CRs (concordance ranging from 75 to 89% depending on cohort group). There was moderate agreement (63% and 67% agreed, respectively) between CRs and LRs in both the CT score (weighted Kappa [95% CI] = 0.56 [0.34, 0.78]; p-value = 0.57) and the MR score (weighted Kappa [95% CI] = 0.68 [0.49, 0.86]; p-value = 0.72). The composite CT/MR score showed moderate agreement (weighted Kappa [95% CI] = 0.62 [0.43, 0.81]; p-value = 0.80). CONCLUSION: There is a high degree of concordance among radiologists for assignment of CC using MRI and CT.

Multiparametric Mapping Magnetic Resonance Imaging of Pancreatic Disease.

BACKGROUND: Current magnetic resonance imaging (MRI) of pancreatic disease is qualitative in nature. Quantitative imaging offers several advantages, including increased reproducibility and sensitivity to detect mild or diffuse disease. The role of multiparametric mapping MRI in characterizing various tissue types in pancreatic disease such as chronic pancreatitis (CP) and pancreatic ductal adenocarcinoma (PDAC) has rarely been evaluated. PURPOSE: To evaluate the feasibility of multiparametric mapping [T1, T2, and apparent diffusion coefficient (ADC)] in defining tissue characteristics that occur in CP and PDAC to improve disease diagnosis. MATERIALS AND METHODS: Pancreatic MRI was performed in 17 patients with PDAC undergoing therapy, 7 patients with CP, and 29 healthy volunteers with no pancreatic disease. T1 modified Look-Locker Inversion Recovery (T1 MOLLI), T2-prepared gradient-echo, and multi-slice single-shot echo-planar diffusion weighted imaging (SS-EPI DWI) sequences were used for data acquisition. Regions of interest (ROIs) of pancreas in PDAC, CP, and control subjects were outlined by an experienced radiologist. One-way analysis of variance (ANOVA) was used to compare the difference between groups and regions of the pancreas, and Tukey tests were used for multiple comparison testing within groups. Receiver operator characteristic (ROC) curves were analyzed, and the areas under the curves (AUCs) were calculated using single parameter and combined parameters, respectively. RESULTS: T1, T2, and ADC values of the entire pancreas among PDAC, CP, and control subjects; and between upstream and downstream portions of the pancreas in PDAC patients were all significantly different (p < 0.05). The AUC values were 0.90 for T1, 0.55 for T2, and 0.71 for ADC for independent prediction of PDAC. By combining T1, T2, and ADC, the AUC value was 0.94 (sensitivity 91.54%, specificity 85.81%, 95% CI: 0.92-0.96), which yielded higher accuracy than any one parameter only (p < 0.001). CONCLUSION: Multiparametric mapping MRI is feasible for the evaluation of the differences between PDAC, CP, and normal pancreas tissues. The combination of multiple parameters of T1, T2, and ADC provides a higher accuracy than any single parameter alone in tissue characterization of the pancreas.

Pancreatic neuroendocrine tumors: presentation, management, and outcomes.

Pancreatic neuroendocrine tumors (pNETs) are an uncommon pancreatic neoplasm. We reviewed the presentation, management, and outcome of patients with pNETs treated at a single center by a multidisciplinary approach between 2004 and 2008. Over this time period, 154 patients with carcinoid and neuroendocrine tumors were treated, which included 46 patients (30% of total) with pNETs. The most common presentations included abdominal pain (20 of 46 [43%]), systemic symptoms such as hypoglycemia (15 of 46 [33%]), and incidental mass (7 of 46 [15%]). Fourteen patients had functional tumors. At the time of diagnosis, 22 patients (48%) presented without metastases and 24 (52%) had metastatic disease. Median follow up for the entire group was 42 months. All patients with nonmetastatic pNET underwent pancreatic resection with 95 per cent postoperative survival. Overall survival in this group at 3 years was 86 per cent and disease-free survival was 81 per cent. In patients presenting with metastatic pNET, multiple treatment modalities were used, including liver resection or ablation (n = 15), hepatic chemoembolization (n = 17), pancreatic resection (n = 12), and systemic treatments (n = 7). Three-year survival was 70 per cent. Pancreatic resection results in greater than 80 per cent 3-year survival in nonmetastatic pNET. In patients presenting with metastatic pNET, excellent survival rates are also achievable using a multidisciplinary multimodal approach.