Clinical outcomes of different types of metallic stents in malignant distal duodenum stenosis: A retrospective study.

BACKGROUND/PURPOSE: Endoscopic stenting at malignant distal duodenum stenosis (MDDS) is challenging because of the duodenal C-loop configuration, the acute angle of the duodenojejunal junction, and the limited length of the endoscope. Few studies have investigated the clinical outcomes of stenting at the distal duodenum. Therefore, this study aimed to investigate the clinical outcomes of treating MDDS with different types of metallic stents. METHODS: From January 2012 to December 2020, fifty-six patients with MDDS who underwent duodenal stenting were enrolled for analysis. Thirty-five patients received uncovered self-expandable metallic stents (UC-SEMS), and twenty-one patients received partially covered self-expandable metallic stents (PC-SEMS). All patients were followed up till death or for 18 months. The clinical success rate, stent dysfunction rate, and stent patency were compared between the groups. Multivariate analysis was conducted to identify factors related to stent dysfunction. RESULTS: The clinical success rates were 85.7 % in both the UC-SEMS and PC-SEMS groups. Stent dysfunction rates (UC-SEMS: 34.3 %, PC-SEMS: 38.1 %, p = 0.773) and the average stent patency (UC-SEMS: 117.2 days, PC-SEMS: 100.0 days, p = 0.576) were not statistically different between the groups. Multivariate analysis disclosed the age ≥65 years was significantly related to stent dysfunction (odds ratio: 4.78, p = 0.031). CONCLUSIONS: Both UC-SEMS and PC-SEMS are safe and effective treatment options for MDDS. However, stent dysfunction remains a significant issue to overcome, particularly in the elderly. Further research is needed to explore novel strategies that can improve the effectiveness of stent placement and reduce the risk of stent dysfunction.

Machine Learning Model with Computed Tomography Radiomics and Clinicobiochemical Characteristics Predict the Subtypes of Patients with Primary Aldosteronism.

RATIONALE AND OBJECTIVES: Adrenal venous sampling (AVS) is the primary method for differentiating between primary aldosterone (PA) subtypes. The aim of study is to develop prediction models for subtyping of patients with PA using computed tomography (CT) radiomics and clinicobiochemical characteristics associated with PA. MATERIALS AND METHODS: This study retrospectively enrolled 158 patients with PA who underwent AVS between January 2014 and March 2021. Neural network machine learning models were developed using a two-stage analysis of triple-phase abdominal CT and clinicobiochemical characteristics. In the first stage, the models were constructed to classify unilateral or bilateral PA; in the second stage, they were designed to determine the predominant side in patients with unilateral PA. The final proposed model combined the best-performing models from both stages. The model's performance was evaluated using repeated stratified five-fold cross-validation. We employed paired t-tests to compare its performance with the conventional imaging evaluations made by radiologists, which categorize patients as either having bilateral PA or unilateral PA on one side. RESULTS: In the first stage, the integrated model that combines CT radiomic and clinicobiochemical characteristics exhibited the highest performance, surpassing both the radiomic-alone and clinicobiochemical-alone models. It achieved an accuracy and F1 score of 80.6% ± 3.0% and 74.8% ± 5.2% (area under the receiver operating curve [AUC] = 0.778 ± 0.050). In the second stage, the accuracy and F1 score of the radiomic-based model were 88% ± 4.9% and 81.9% ± 6.2% (AUC=0.831 ± 0.087). The proposed model achieved an accuracy and F1 score of 77.5% ± 3.9% and 70.5% ± 7.1% (AUC=0.771 ± 0.046) in subtype diagnosis and lateralization, surpassing the accuracy and F1 score achieved by radiologists' evaluation (p < .05). CONCLUSION: The proposed machine learning model can predict the subtypes and lateralization of PA. It yields superior results compared to conventional imaging evaluation and has potential to supplement the diagnostic process in PA.

Diagnostic performance of ultrasound in acute cholecystitis: a systematic review and meta-analysis.

BACKGROUND: An updated overview of ultrasound (US) for diagnosis of acute cholecystitis (AC) remains lacking. This systematic review was conducted to evaluate the diagnostic performance of US for AC. METHODS: A systematic review was conducted following PRISMA guidelines. We meticulously screened articles from MEDLINE, Embase, and the Cochrane Library, spanning from inception to August 2023. We employed the search strategy combining the keywords "bedside US", "emergency US" or "point-of-care US" with "AC". Two reviewers independently screened the titles and abstracts of the retrieved articles to identify suitable studies. The inclusion criteria encompassed articles investigating the diagnostic performance of US for AC. Data regarding diagnostic performance, sonographers, and sonographic findings including the presence of gallstone, gallbladder (GB) wall thickness, peri-GB fluid, or sonographic Murphy sign were extracted, and a meta-analysis was executed. Case reports, editorials, and review articles were excluded, as well as studies focused on acalculous cholecystitis. The study quality was assessed with the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool. RESULTS: Forty studies with 8,652 patients were included. The majority of studies had a low risk of bias and applicability concerns. US had a pooled sensitivity of 71% (95% CI, 69-72%), a specificity of 85% (95% CI, 84-86%), and an accuracy of 0.83 (95% CI, 0.82-0.83) for the diagnosis of AC. The pooled sensitivity and specificity were 71% (95% CI, 67-74%) and 92% (95% CI, 90-93%) performed by emergency physicians (EPs), 79% (95% CI, 71-85%) and 76% (95% CI, 69-81%) performed by surgeons, and 68% (95% CI 66-71%) and 87% (95% CI, 86-88%) performed by radiologists, respectively. There were no statistically significant differences among the three groups. CONCLUSION: US is a good imaging modality for the diagnosis of AC. EP-performed US has a similar diagnostic performance to radiologist-performed US. Further investigations would be needed to investigate the impact of US on expediting the management process and improving patient-centered outcomes.

Influence of autonomous cortisol secretion in patients with primary aldosteronism: subtype analysis and postoperative outcome.

Context: Autonomous cortisol secretion (ACS) has a relatively high prevalence in patients with primary aldosteronism (PA). There is still a lack of relevant studies to analyze the influence of ACS on diagnosing and managing PA. Objective: To evaluate the influence of ACS on image-adrenal venous sampling (AVS) correlation and the postoperative results. Methods: This was a retrospective study using the Taiwan Primary Aldosteronism Investigation database from July 2017 to April 2020, with 327 PA patients enrolled. A total of 246 patients were included in the image-AVS analysis. Patients who had undergone unilateral adrenalectomy and a 12-month follow-up were included in the postoperative analysis. Results: Sixty-five patients (26.4%) had ACS. The image-AVS discordance rate was higher in the ACS group compared to the non-ACS group (75.4% (n = 49) vs 56.4% (n = 102); odds ratio (OR) = 2.37 (CI: 1.26-4.48); P = 0.007). The complete biochemical success rate was higher in the non-ACS group than that in the ACS group (98.1% (n = 51) vs 64.3% (n = 9); OR = 28.333 (CI: 2.954-271.779); P = 0.001). In logistic regression analysis, ACS was the only factor associated with lower biochemical success (OR = 0.035 (CI: 0.004-0.339), P = 0.004). Conclusion: PA patients with ACS have higher image-AVS discordance rate and worse biochemical outcomes after surgery. ACS was the only negative predictor of postoperative biochemical outcomes. Further studies and novel biomarkers for AVS are crucial for obtaining better postoperative outcomes in PA patients with ACS.

Optimizing adrenal vein sampling in primary aldosteronism subtyping through LC-MS/MS and secretion ratios of aldosterone, 18-oxocortisol, and 18-hydroxycortisol.

Adrenal venous sampling (AVS) is the gold standard for identifying curable unilateral aldosterone excess in primary aldosteronism (PA). Studies have demonstrated the value of steroid profiling through liquid chromatography-tandem mass spectrometry (LC-MS/MS) in AVS interpretation. First, the performance of LC-MS/MS and immunoassay in assessing selectivity and lateralization was compared. Second, the utility of the proportion of individual steroids in adrenal veins in subtyping PA was analyzed. We enrolled 75 consecutive patients with PA who underwent AVS between 2020 and 2021. Fifteen adrenal steroids were analyzed in peripheral and adrenal veins through LC-MS/MS before and after adrenocorticotropic hormone (ACTH) stimulation. Through selectivity index that was based on cortisol and alternative steroids, LC-MS/MS rescued 45% and 66% of failed cases judged by immunoassay in unstimulated and stimulated AVS, respectively. LC-MS/MS identified more unilateral diseases than did immunoassay (76% vs. 45%, P < 0.05) and provided adrenalectomy opportunities to 69% of patients judged through immunoassay to have bilateral disease. The secretion ratios (individual steroid concentration/total steroid concentration) of aldosterone, 18-oxocortisol, and 18-hydroxycortisol were novel indicators for identifying unilateral PA. The 18-oxocortisol secretion ratio of ≥0.785‰ (sensitivity/specificity: 0.90/0.77) at pre-ACTH and aldosterone secretion ratio of ≤0.637‰ (sensitivity/specificity: 0.88/0.85) at post-ACTH enabled optimal accuracy for predicting ipsilateral and contralateral disease, respectively, in robust unilateral PA. LC-MS/MS improved the success rate of AVS and identified more unilateral diseases than immunoassay. The secretion ratios of steroids can be used to discriminate the broad PA spectrum.

Colonic Diverticulitis Location Affects the Diagnostic Accuracy of Point-of-Care Ultrasound: A Multicenter, 10-Year Study.

OBJECTIVE: Point-of-care ultrasound (PoCUS) has high sensitivity and specificity in diagnosing uncomplicated colonic diverticulitis in Western patients. Evidence regarding the accuracy of PoCUS in Asian patients in which diverticulitis frequently occurs in the right-side colon is lacking. This multicenter, 10-y study was aimed at evaluating the diagnostic accuracy of PoCUS in various locations of uncomplicated diverticulitis among Asians. METHODS: A convenience sample of patients with suspected colonic diverticulitis who had undergone computed tomography (CT) were eligible. Patients undergoing PoCUS before CT were included. The primary outcome was the diagnostic accuracy of PoCUS in the various locations, compared with the final diagnosis made by the expert physicians. The sensitivity, specificity, positive predictive value and negative predictive value were computed. The logistic regression model was used to investigate the possible factors related to the accuracy of PoCUS. RESULTS: A total of 326 patients were included. The overall accuracy of PoCUS was 92% (95% confidence interval [CI]: 89.1%-95.0%) and was lower in the cecum (84.3%, 95% CI: 77.8%-90.8%), compared with other locations (p < 0.0001). Nine of 10 false positives had the final diagnosis of appendicitis: 5 had an outpouching structure whose origin in the cecum could not be traced and 4 had elongated "diverticula." Moreover, body mass index was negatively associated with the accuracy of PoCUS in cecal diverticulitis (odds ratio: 0.79, 95% CI: 0.64-0.97) after adjusting for other covariates. CONCLUSION: Point-of-care ultrasound exhibits high diagnostic accuracy in diagnosing uncomplicated diverticulitis in the Asian population. However, the accuracy varies according to location, and was relatively low in the cecum.

Unilateral adrenalectomy in bilateral adrenal hyperplasia with primary aldosteronism.

PURPOSE: Mineralocorticoid receptor antagonists are the first-line treatment for bilateral adrenal hyperplasia (BAH) with primary aldosteronism (PA), while unilateral adrenalectomy is the standard treatment for aldosterone-producing adenoma (APA). In this study, we investigated the outcomes of patients with BAH after unilateral adrenalectomy and compared them with those of patients with APA. METHODS: From January 2010 to November 2018, 102 patients with a diagnosis of PA confirmed by adrenal vein sampling (AVS) and available NP-59 scans were enrolled. All patients underwent unilateral adrenalectomy based on the lateralization test results. We prospectively collected the clinical parameters over 12 months and compared the outcomes of BAH and APA. RESULTS: A total of 102 patients were enrolled in this study: 20 (19.6%) had BAH and 82 (80.4%) had APA. Significant improvements in serum aldosterone-renin ratio (ARR), potassium level, and reduction of antihypertensive drugs were observed in both groups at 12 months after surgery (all p < 0.05). Patients with APA showed a significant decrease in blood pressure after surgery (p < 0.001) than those with BAH. Additionally, multivariate logistic regression analysis indicated that APA was associated with biochemical success (odds ratio: 4.32, p = 0.024) compared to BAH. CONCLUSION: Patients with BAH had a higher failure rate in clinical outcomes, and APA was associated with biochemical success after unilateral adrenalectomy. However, significant improvements in ARR, hypokalemia, and a decreased use of antihypertensive drugs were noted in patients with BAH after surgery. Unilateral adrenalectomy is feasible and beneficial in selected patients, and could potentially serve as a treatment option.

Detection of pancreatic cancer with two- and three-dimensional radiomic analysis in a nationwide population-based real-world dataset.

BACKGROUND: CT is the major detection tool for pancreatic cancer (PC). However, approximately 40% of PCs < 2 cm are missed on CT, underscoring a pressing need for tools to supplement radiologist interpretation. METHODS: Contrast-enhanced CT studies of 546 patients with pancreatic adenocarcinoma diagnosed by histology/cytology between January 2005 and December 2019 and 733 CT studies of controls with normal pancreas obtained between the same period in a tertiary referral center were retrospectively collected for developing an automatic end-to-end computer-aided detection (CAD) tool for PC using two-dimensional (2D) and three-dimensional (3D) radiomic analysis with machine learning. The CAD tool was tested in a nationwide dataset comprising 1,477 CT studies (671 PCs, 806 controls) obtained from institutions throughout Taiwan. RESULTS: The CAD tool achieved 0.918 (95% CI, 0.895-0.938) sensitivity and 0.822 (95% CI, 0.794-0.848) specificity in differentiating between studies with and without PC (area under curve 0.947, 95% CI, 0.936-0.958), with 0.707 (95% CI, 0.602-0.797) sensitivity for tumors < 2 cm. The positive and negative likelihood ratios of PC were 5.17 (95% CI, 4.45-6.01) and 0.10 (95% CI, 0.08-0.13), respectively. Where high specificity is needed, using 2D and 3D analyses in series yielded 0.952 (95% CI, 0.934-0.965) specificity with a sensitivity of 0.742 (95% CI, 0.707-0.775), whereas using 2D and 3D analyses in parallel to maximize sensitivity yielded 0.915 (95% CI, 0.891-0.935) sensitivity at a specificity of 0.791 (95% CI, 0.762-0.819). CONCLUSIONS: The high accuracy and robustness of the CAD tool supported its potential for enhancing the detection of PC.

New-onset diabetes mellitus risk associated with concurrent autonomous cortisol secretion in patients with primary aldosteronism.

Concurrent autonomous cortisol secretion (ACS) in patients with primary aldosteronism (PA patients) is not uncommon. This work aimed to determine the effect of cortisol levels on incident new-onset type 2 diabetes mellitus (NODM) in PA patients. Using the prospectively designed observational TAIPAI cohort, the PA patients were grouped by cortisol level after an overnight low-dose dexamethasone suppression test (1-mg DST). Of the 476 PA patients, 387 (43.7% men; mean age 52.8 years) did not have baseline DM. After a mean follow-up of 4.3 ± 2.9 years, 32 patients (8.3%) developed NODM. The cutoff value obtained via a generalized additive model showed that a serum cortisol level ≥ 2.65 µg/dL after 1-mg DST was a risk factor for developing NODM (HR, 3.5, p = 0.031) by Cox proportional- hazards model.. In PA patients with a higher body mass index (>25 kg/m2; HR, 3.16), lower estimated glomerular filtration rate (<90 ml/min/1.73 m2; HR, 3.18), longer hypertension duration (>7 years; HR, 3.34), and higher waist-to-hip ratio (>0.9; HR, 3.07), a concomitant cortisol level ≥ 2.65 µg/dL after 1-mg DST were more likely to develop NODM. The high-cortisol group of patients with aldosterone-producing adenoma (APA) using mineralocorticoid receptor antagonist (MRA) was associated with an increased risk of NODM (HR, 5.72). Our results showed that PA patients with a concomitant cortisol level ≥ 2.65 µg/dL after 1-mg DST, independent of the aldosterone level, had a higher incidence of NODM. Such PA patients should be carefully evaluated and managed to achieve better glucose control and prevent metabolic syndrome.

Pancreatic Cancer Detection on CT Scans with Deep Learning: A Nationwide Population-based Study.

Background Approximately 40% of pancreatic tumors smaller than 2 cm are missed at abdominal CT. Purpose To develop and to validate a deep learning (DL)-based tool able to detect pancreatic cancer at CT. Materials and Methods Retrospectively collected contrast-enhanced CT studies in patients diagnosed with pancreatic cancer between January 2006 and July 2018 were compared with CT studies of individuals with a normal pancreas (control group) obtained between January 2004 and December 2019. An end-to-end tool comprising a segmentation convolutional neural network (CNN) and a classifier ensembling five CNNs was developed and validated in the internal test set and a nationwide real-world validation set. The sensitivities of the computer-aided detection (CAD) tool and radiologist interpretation were compared using the McNemar test. Results A total of 546 patients with pancreatic cancer (mean age, 65 years ± 12 [SD], 297 men) and 733 control subjects were randomly divided into training, validation, and test sets. In the internal test set, the DL tool achieved 89.9% (98 of 109; 95% CI: 82.7, 94.9) sensitivity and 95.9% (141 of 147; 95% CI: 91.3, 98.5) specificity (area under the receiver operating characteristic curve [AUC], 0.96; 95% CI: 0.94, 0.99), without a significant difference (P = .11) in sensitivity compared with the original radiologist report (96.1% [98 of 102]; 95% CI: 90.3, 98.9). In a test set of 1473 real-world CT studies (669 malignant, 804 control) from institutions throughout Taiwan, the DL tool distinguished between CT malignant and control studies with 89.7% (600 of 669; 95% CI: 87.1, 91.9) sensitivity and 92.8% specificity (746 of 804; 95% CI: 90.8, 94.5) (AUC, 0.95; 95% CI: 0.94, 0.96), with 74.7% (68 of 91; 95% CI: 64.5, 83.3) sensitivity for malignancies smaller than 2 cm. Conclusion The deep learning-based tool enabled accurate detection of pancreatic cancer on CT scans, with reasonable sensitivity for tumors smaller than 2 cm. © RSNA, 2022 Online supplemental material is available for this article. See also the editorial by Aisen and Rodrigues in this issue.

Clinical Outcomes of Metastatic Breast Cancer in Patients Having Imaging Liver Pseudocirrhosis with or without Evident Varices.

BACKGROUND: Pseudocirrhosis is an imaging finding of malignancies with liver metastasis with or without clinical liver cirrhosis-related portal hypertension (pHTN). This study defined evident pHTN by the presence of esophageal or gastric varices and compared patients' outcomes of metastatic breast cancer with imaging-diagnosed pseudocirrhosis with or without varices. METHODS: The medical records from patients with metastatic breast cancer and pseudocirrhosis between 2005 and 2017 were retrospectively analyzed. Survival outcomes were compared based on endoscopic evidence of esophageal or gastric varices. RESULTS: Among 106 patients with pseudocirrhosis, 33 (31%) had de novo stage IV disease, and 66 (62%) had hormone receptor (HR)-positive and human epidermal growth factor receptor 2 (HER2)-negative breast cancer. Eighty-one (76%) had initial metastases in both hepatic lobes, and 32 (30%) had esophageal or gastric varices. The median overall survival (OS) was 5 and 13 months in patients with and without varices (P = .002). The median OS in patients with HER2-positive, HR-positive/HER2-negative, and triple-negative subtype was 16, 9, and 2 months, respectively (P = .001). Patients with varices usually had cirrhotic complications, including gastrointestinal bleeding, hyperbilirubinemia, hyperammonemia, and coagulopathy. Despite their challenging clinical conditions, 7 patients with varices had OS exceeding 1 year. In multivariate analysis, evident varices (P = .007) and triple-negative subtype (P = .013) were associated with poor OS. CONCLUSIONS: Patients with pseudocirrhosis and evident varices had a significantly shorter median OS, and were usually associated with clinical cirrhosis-related complications. To maximize OS, early identification and meticulous supportive care are warranted.

Radiomics utilization to differentiate nonfunctional adenoma in essential hypertension and functional adenoma in primary aldosteronism.

We performed the present study to investigate the role of computed tomography (CT) radiomics in differentiating nonfunctional adenoma and aldosterone-producing adenoma (APA) and outcome prediction in patients with clinically suspected primary aldosteronism (PA). This study included 60 patients diagnosed with essential hypertension (EH) with nonfunctional adenoma on CT and 91 patients with unilateral surgically proven APA. Each whole nodule on unenhanced and venous phase CT images was segmented manually and randomly split into training and test sets at a ratio of 8:2. Radiomic models for nodule discrimination and outcome prediction of APA after adrenalectomy were established separately using the training set by least absolute shrinkage and selection operator (LASSO) logistic regression, and the performance was evaluated on test sets. The model can differentiate adrenal nodules in EH and PA with a sensitivity, specificity, and accuracy of 83.3%, 78.9% and 80.6% (AUC = 0.91 [0.72, 0.97]) in unenhanced CT and 81.2%, 100% and 87.5% (AUC = 0.98 [0.77, 1.00]) in venous phase CT, respectively. In the outcome after adrenalectomy, the models showed a favorable ability to predict biochemical success (Unenhanced/venous CT: AUC = 0.67 [0.52, 0.79]/0.62 [0.46, 0.76]) and clinical success (Unenhanced/venous CT: AUC = 0.59 [0.47, 0.70]/0.64 [0.51, 0.74]). The results showed that CT-based radiomic models hold promise to discriminate APA and nonfunctional adenoma when an adrenal incidentaloma was detected on CT images of hypertensive patients in clinical practice, while the role of radiomic analysis in outcome prediction after adrenalectomy needs further investigation.

Factors associated with renal function change after unilateral adrenalectomy in patients with primary aldosteronism.

OBJECTIVES: Decreased glomerular filtration rate has been reported in patients with primary aldosteronism after unilateral adrenalectomy. Glomerular hyperfiltration has been assumed to mask the preoperative subtle renal impairment. In this study, we investigated predictors for decreased estimated glomerular filtration rate after adrenalectomy in patients with primary aldosteronism. METHODS: From January 2006 through September 2018, 328 patients with confirmatory diagnoses of primary aldosteronism received unilateral laparoscopic adrenalectomy and subsequent follow-up for 12 months. We prospectively collected related parameters of the clinical outcomes and renal function to identify predictors of renal function impairment at 12 months after surgery. RESULTS: Patients were stratified into three groups by preoperative estimated glomerular filtration rate level: 144 (43.9%) with estimated glomerular filtration rate ≥90, 130 (39.6%) with estimated glomerular filtration rate within 60-89.9, and 54 (16.5%) with estimated glomerular filtration rate <60 mL/min/1.73 m2 . The estimated glomerular filtration rate decreased significantly at the 6th month and remained stable at the 12th month, postoperatively. Patients with estimated glomerular filtration rate ≥90 had better clinical outcome with 59.6% success rate (P = 0.006) among three groups. Multivariate logistic regression analysis indicated that preoperative estimated glomerular filtration rate (odds ratio 1.012, P = 0.02) and hypokalemia (odds ratio 2.018, P = 0.024) were associated with renal impairment at 12th month after adrenalectomy. Multivariate linear regression analysis revealed high preoperative estimated glomerular filtration rate (ß = 0.261, P < 0.001), high preoperative systolic blood pressure (ß = 0.168, P = 0.003), high level of microalbuminuria (ß = 0.024, P = 0.001), and low level of serum potassium (ß = -4.883, P = 0.007) were associated with estimated glomerular filtration rate percentage decline at 12th month after adrenalectomy. CONCLUSIONS: Estimated glomerular filtration rate declined significantly after adrenalectomy in patients with estimated glomerular filtration rate ≥90. The study provided important information to identify primary aldosteronism patients with higher risk of estimated glomerular filtration rate decline after adrenalectomy and might help to adopt early interventions to improve the outcomes.

Colonic diverticulitis location is a risk factor for recurrence: a multicenter, retrospective cohort study in Asian patients.

Evidence regarding the recurrence of diverticulitis is limited in Asian patients. This study aims to investigate recurrence rates and identify predictive factors for the recurrence of diverticulitis following successful nonoperative treatment in Asian patients. A multicenter, retrospective cohort study was conducted between 2012 and 2018. Adult patients with computed tomography (CT)-proven colonic diverticulitis were included. The primary outcome was the recurrence of diverticulitis, which was defined as another episode of occurrence of the infection after index hospital stay. Cumulative recurrence rates were calculated using the Kaplan-Meier method. Cox regression models were employed to identify parameters that significantly and independently predicted recurrence. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated. A total of 929 patients were included. Diverticulitis in the cecum/ascending occurred in 675 (72.6%) patients. The average follow-up period was 651 days. Recurrence was observed in 115 (12.4%) patients and most significantly observed in patients with sigmoid diverticulitis (HR, 2.24; 95% CIs 1.59-3.97), followed by those with descending colon diverticulitis (HR, 1.92; 95% CIs 1.17-3.25). Although most of the Asian patients had right-sided colonic diverticulitis, those with sigmoid diverticulitis had the highest risk of recurrence.

Revisiting Hepatic Artery Infusion Chemotherapy in the Treatment of Advanced Hepatocellular Carcinoma.

Hepatic artery infusion chemotherapy (HAIC) is a well-established and common treatment for advanced hepatocellular carcinoma (HCC), particularly in East Asia. However, HAIC is not recognized internationally. Although several trials have demonstrated the safety and efficacy of HAIC, evidence corroborating its overall survival (OS) benefits compared with standard treatments is insufficient. Nevertheless, HAIC may provide prominent benefits in selected patients such as patients with portal vein thrombosis or high intrahepatic tumor burden. Moreover, HAIC has been combined with several therapeutic agents and modalities, including interferon-alpha, multikinase inhibitors, radiation therapy, and immunotherapy, to augment its treatment efficacy. Most of these combinations appeared to increase overall response rates compared with HAIC alone, but results regarding OS are inconclusive. Two prospective randomized controlled trials comparing HAIC plus sorafenib with sorafenib alone have reported conflicting results, necessitating further research. As immunotherapy-based combinations became the mainstream treatments for advanced HCC, HAIC plus immunotherapy-based treatments also showed encouraging preliminary results. The trials of HAIC were heterogeneous in terms of patient selection, chemotherapy regimens and doses, HAIC combination agent selections, and HAIC technical protocols. These heterogeneities may contribute to differences in treatment efficacy, thus increasing the difficulty of interpreting trial results. We propose that future trials of HAIC standardize these key factors to reveal the clinical value of HAIC-based treatments for HCC.

Evaluation of Abdominal Computed Tomography Scans for Differentiating the Discrepancies in Abdominal Adipose Tissue Between Two Major Subtypes of Primary Aldosteronism.

The aim of this study was to analyze the differences in the distribution of abdominal adipose tissue between the two subtypes of primary aldosteronism (PA) using abdominal computed tomography. We retrospectively analyzed patients diagnosed as having essential hypertension (EH) or PA from the prospectively collected Taiwan Primary Aldosteronism Investigation (TAIPAI) database. Patients with PA were divided into the subgroups of idiopathic hyperaldosteronism (IHA) and unilateral aldosterone-producing adenoma (APA). Patients' basic clinicodemographic data were collected, and a self-developed CT-based software program was used to quantify the abdominal adiposity indexes, including visceral adipose tissue (VAT) area, VAT ratio, waist circumference (WC), subcutaneous adipose tissue (SAT) area, and SAT ratio. We included 190 patients with EH and 436 patients with PA (238 with IHA and 198 with APA). The APA group had significantly lower abdominal adiposity indexes than the other groups. We also found negative correlations of aldosterone-to-renin ratio (ARR) with VAT area, VAT ratio, WC, and body mass index (BMI) in the APA group. After propensity score matching (which left 184 patients each in the IHA and APA groups), patients in the APA group still had significantly lower WC, SAT area, SAT ratio, and VAT ratio than those in the IHA group. Furthermore, logistic regression analysis indicated that lower probability of abdominal obesity was significantly related to patients with APA. Our data revealed that the distribution of abdominal adipose tissue was similar in patients with IHA and those with EH, but the abdominal adiposity indexes were significantly lower in patients with APA than in those with IHA and EH.

Radiomic Features at CT Can Distinguish Pancreatic Cancer from Noncancerous Pancreas.

Purpose To identify distinguishing CT radiomic features of pancreatic ductal adenocarcinoma (PDAC) and to investigate whether radiomic analysis with machine learning can distinguish between patients who have PDAC and those who do not. Materials and Methods This retrospective study included contrast material-enhanced CT images in 436 patients with PDAC and 479 healthy controls from 2012 to 2018 from Taiwan that were randomly divided for training and testing. Another 100 patients with PDAC (enriched for small PDACs) and 100 controls from Taiwan were identified for testing (from 2004 to 2011). An additional 182 patients with PDAC and 82 healthy controls from the United States were randomly divided for training and testing. Images were processed into patches. An XGBoost (https://xgboost.ai/) model was trained to classify patches as cancerous or noncancerous. Patients were classified as either having or not having PDAC on the basis of the proportion of patches classified as cancerous. For both patch-based and patient-based classification, the models were characterized as either a local model (trained on Taiwanese data only) or a generalized model (trained on both Taiwanese and U.S. data). Sensitivity, specificity, and accuracy were calculated for patch- and patient-based analysis for the models. Results The median tumor size was 2.8 cm (interquartile range, 2.0-4.0 cm) in the 536 Taiwanese patients with PDAC (mean age, 65 years ± 12 [standard deviation]; 289 men). Compared with normal pancreas, PDACs had lower values for radiomic features reflecting intensity and higher values for radiomic features reflecting heterogeneity. The performance metrics for the developed generalized model when tested on the Taiwanese and U.S. test data sets, respectively, were as follows: sensitivity, 94.7% (177 of 187) and 80.6% (29 of 36); specificity, 95.4% (187 of 196) and 100% (16 of 16); accuracy, 95.0% (364 of 383) and 86.5% (45 of 52); and area under the curve, 0.98 and 0.91. Conclusion Radiomic analysis with machine learning enabled accurate detection of PDAC at CT and could identify patients with PDAC. Keywords: CT, Computer Aided Diagnosis (CAD), Pancreas, Computer Applications-Detection/Diagnosis Supplemental material is available for this article. © RSNA, 2021.