Graft-versus-host disease (GVHD) is an expected and relatively common complication after allogeneic hematopoietic stem cell transplantation. It may affect different organs and typically involves the skin, liver, and gastrointestinal tract (GI-GVHD). GI-GVHD may show heterogeneous presentations with peculiar diagnostic implications. Although an endoscopic biopsy is considered the \"gold standard\" for the diagnosis of GI-GVHD, its broad application is limited due to the poor clinical conditions usually present in these patients, including thrombocytopenia. In the emergency department, enhanced computed tomography (CECT) has emerged as the best imaging modality for the evaluation of GI damage in frail patients. However, the role of CT in the context of either acute or chronic GI-GVHD has not been systematically investigated. Herein, we focus on the radiological features found on CECT in five patients with GI-GVHD confirmed on histology. CECT was performed for the persistence of GI symptoms in three cases (case 1, case 3, and case 4), for small bowel occlusion in one case (case 5), and for acute GI symptoms in one case (case 2). Serpiginous intestinal wall appearance with multisegmental parietal thickness and homogeneous, mucosal, or stratified small bowel enhancement were common features. Colic involvement with segmental or diffuse parietal thickness was also present. One patient (case 5) presented with inflammatory jejunal multisegmental stenosis with sub-occlusion as a chronic presentation of GI-GVHD. Regarding mesenterial findings, all five patients presented comb signs in the absence of lymphadenopathy. Extraintestinal findings included biliary tract dilatation in two cases (case 2 and case 4). These data support the utility of appropriate radiological investigation in GI-GVHD, paving the way for further serial and systematic investigations to track the appearance and evolution of GI damage in GVHD patients.

UNASSIGNED: Acute Leriche syndrome is a rare but potentially life-threatening condition. Pain, pallor, and coldness of the lower extremities serve as clues for suspecting Leriche syndrome. However, the absence of these findings may pose a diagnostic challenge.
UNASSIGNED: An 83-year-old man presented at our emergency department with a complaint of sudden-onset paraparesis. Initially, spinal cord infarction was suspected due to clinical course and neurological findings, but thoracolumbar MRI showed normal findings. On admission, symptoms associated with aortoiliac occlusion were not present, except for muscle atrophy in the thigh. CT angiography revealed aortoiliac occlusion, leading to a diagnosis of Leriche syndrome.
UNASSIGNED: Leriche syndrome should be considered as a potential differential diagnosis in patients with acute paraparesis. Muscle atrophy of the lower limbs disproportionate to the clinical course may be the clue for suspecting acute Leriche syndrome with symptoms related to atherosclerotic occlusion which are inconspicuous.

The ability of articular cartilage to withstand significant mechanical stresses during activities, such as walking or running, relies on its distinctive structure. Integrating detailed tissue properties into subject-specific biomechanical models is challenging due to the complexity of analyzing these characteristics. This limitation compromises the accuracy of models in replicating cartilage function and impacts predictive capabilities. To address this, methods revealing cartilage function at the constituent-specific level are essential. In this study, we demonstrated that computational modeling derived individual constituent-specific biomechanical properties could be predicted by a novel nanoparticle contrast-enhanced computer tomography (CECT) method. We imaged articular cartilage samples collected from the equine stifle joint (n = 60) using contrast-enhanced micro-computed tomography (µCECT) to determine contrast agents\' intake within the samples, and compared those to cartilage functional properties, derived from a fibril-reinforced poroelastic finite element model. Two distinct imaging techniques were investigated: conventional energy-integrating µCECT employing a cationic tantalum oxide nanoparticle (Ta2O5-cNP) contrast agent and novel photon-counting µCECT utilizing a dual-contrast agent, comprising Ta2O5-cNP and neutral iodixanol. The results demonstrate the capacity to evaluate fibrillar and non-fibrillar functionality of cartilage, along with permeability-affected fluid flow in cartilage. This finding indicates the feasibility of incorporating these specific functional properties into biomechanical computational models, holding potential for personalized approaches to cartilage diagnostics and treatment.

OBJECTIVE: We aim to assess the early use of contrast-enhanced computed tomography (CECT) of patients with severe acute pancreatitis (SAP) using the computed tomography severity index (CTSI) in prognosis prediction. The CTSI combines quantification of pancreatic and extrapancreatic inflammation with the extent of pancreatic necrosis.
METHODS: Post-hoc retrospective analysis of a large, multicentric database (44 institutions) of SAP patients in Japan. The area under the curve (AUC) of the CTSI for predicting mortality and the odds ratio (OR) of the extent of pancreatic inflammation and necrosis were calculated using multivariable analysis.
RESULTS: In total, 1097 patients were included. The AUC of the CTSI for mortality was 0.65 (95 % confidence interval [CI:] [0.59-0.70]; p < 0.001). In multivariable analysis, necrosis 30-50 % and >50 % in low-enhanced pancreatic parenchyma (LEPP) was independently associated with a significant increase in mortality, with OR 2.04 and 95 % CI 1.01-4.12 (P < 0.05) and OR 3.88 and 95 % CI 2.04-7.40 (P < 0.001), respectively. However, the extent of pancreatic inflammation was not associated with mortality, regardless of severity.
CONCLUSIONS: The degree of necrosis in LEPP assessed using early CECT of SAP was a better predictor of mortality than the extent of pancreatic inflammation.

In this report, a case of 62-year-old female is described who came to the hospital with chief complaints of breathlessness and productive cough with salty whitish expectoration, which she had for two months, along with fever and right-sided chest pain, for three days. The case was identified as a ruptured pulmonary hydatid cyst with pyopneumothorax using contrast-enhanced computed tomography and chest X-ray. This was further supported by the Echinococcus antibody IgG test. Right thoracostomy, the placement of an intercoastal drain, and four days of continuous aspiration of 750 ml of serous fluid were used for managing the case. Following this, oral albendazole was used as a conservative measure.

Background The clinical diagnosis of acute appendicitis (AA) can be challenging. This study aimed to evaluate the significance of this diagnosis amidst technological progress. It compared clinical diagnosis to radiology-aided diagnostic outcomes and negative appendicectomy rates (NAR). Methodology This study conducted a single-center retrospective and prospective cohort observational study on all adult patients presenting with suspected AA in 2018 at a major tertiary teaching hospital in Perth, Western Australia. Key demographics, clinicopathological, radiology, and operative reports were reviewed. Data were analyzed using SPSS v.27. Results Of 418 patients with suspected AA, 234 (56%) were in the retrospective group. The median age was 35 (IQR=26), and 224 (54%) were female. The overall NAR was 18.6% (95% CI (14.8-22.4)) and 20.8% for clinical diagnosis. Notably, the NAR for ultrasound (USS)-reported AA (false positive) was 17.6% (95% CI (10.6-27.4)). Three-quarters of the patients, 298 (71.3%), had radiological imaging. The most common modality was CT 176 (59.1%), and 33 (7.9%) had both CT and USS imaging performed. Compared with final histopathology, no significant difference was found in the accuracy of clinically diagnosed and USS-diagnosed cases, with rates of 83.5% and 82.5%, respectively (p=0.230). CT had the best positive predictive value at 82.1%. Single-modality imaging did not cause a significant surgical delay (p=0.914), but multi-modal imaging showed a non-significant trend toward delay (p=0.065). When surgeons assessed an appendix as normal, 54 (12.9%), the histopathological assessment revealed pathology in 28 (51.9%). The inter-observer agreement was only fair to moderate, Kappa=0.46 (95% CI (0.33-0.58); p<0.001). The intraoperative identification of a normal appendix inversely correlated to the grade of the primary surgeon, which was likely related to the number of surgical personnel in the theater (p<0.001). Conclusion This study showed that clinical diagnosis matches the diagnostic accuracy of imaging technologies. Utilizing diagnostic imaging methods promptly and appropriately did not lead to considerable delays in surgery. Surgeons\' capability to diagnose appendicitis during surgery is moderately accurate. Most patients underwent imaging, with CT scans being the most common. Moving forward, practitioners must minimize excessive reliance on imaging techniques as this can be resource-intensive, especially in developing countries. Future clinical practice should balance embracing technological advancements and preserving essential clinical diagnostic expertise, for medicine is both a science and an art.

Acute bacterial prostatitis (ABP) is a common disease in adults but uncommon in children. Here, we report the case of a pediatric patient without any underlying disease who was diagnosed with ABP while trying to determine the cause of fever refractory to antimicrobial therapy. A previously healthy 12-year-old boy presented with a 13-day history of fever and malaise despite initial antimicrobial treatment. Further tests revealed pyuria and enlarged prostate with possible abscesses, which led to the diagnosis of ABP based on a contrast-enhanced computed tomography (CT) scan. Although initial urine cultures were negative, Corynebacterium pyruviciproducens was detected in subsequent cultures. Antimicrobial therapy for 10 weeks led to improvement without relapse. This case demonstrates that ABP can cause fever in children. Moreover, it shows that contrast-enhanced CT imaging can help identify the cause of fever and that administration of antimicrobials before adequate investigations can confound the diagnosis and complicate the treatment.

BACKGROUND: Although radical surgical resection is the most effective treatment for hepatocellular carcinoma (HCC), the high rate of postoperative recurrence remains a major challenge, especially in patients with alpha-fetoprotein (AFP)-negative HCC who lack effective biomarkers for postoperative recurrence surveillance. Emerging radiomics can reveal subtle structural changes in tumors by analyzing preoperative contrast-enhanced computer tomography (CECT) imaging data and may provide new ways to predict early recurrence (recurrence within 2 years) in AFP-negative HCC. In this study, we propose to develop a radiomics model based on preoperative CECT to predict the risk of early recurrence after surgery in AFP-negative HCC.
METHODS: Patients with AFP-negative HCC who underwent radical resection were included in this study. A computerized tool was used to extract radiomic features from the tumor region of interest (ROI), select the best radiographic features associated with patient\'s postoperative recurrence, and use them to construct the radiomics score (RadScore), which was then combined with clinical and follow-up information to comprehensively evaluate the reliability of the model.
RESULTS: A total of 148 patients with AFP-negative HCC were enrolled in this study, and 1,977 radiographic features were extracted from CECT, 2 of which were the features most associated with recurrence in AFP-negative HCC. They had good predictive ability in both the training and validation cohorts, with an area under the ROC curve (AUC) of 0.709 and 0.764, respectively. Tumor number, microvascular invasion (MVI), AGPR and radiomic features were independent risk factors for early postoperative recurrence in patients with AFP-negative HCC. The AUCs of the integrated model in the training and validation cohorts were 0.793 and 0.791, respectively. The integrated model possessed the clinical value of predicting early postoperative recurrence in patients with AFP-negative HCC according to decision curve analysis, which allowed the classification of patients into subgroups of high-risk and low-risk for early recurrence.
CONCLUSIONS: The nomogram constructed by combining clinical and imaging features has favorable performance in predicting the probability of early postoperative recurrence in AFP-negative HCC patients, which can help optimize the therapeutic decision-making and prognostic assessment of AFP-negative HCC patients.

Objective: To develop and validate predictive models based on clinical parameters, and radiomic features to distinguish pulmonary pure invasive mucinous adenocarcinoma (pIMA) from mixed mucinous adenocarcinoma (mIMA) before surgery. Method: From January 2017 to December 2022, 193 pIMA and 111 mIMA were retrospectively analyzed at our hospital in this retrospective study. From contrast-enhanced computed tomography, 1037 radiomic features were extracted. The patients were randomly divided into a training group and a test group (n = 213 and 91, respectively) in a 7:3 ratio. The least absolute shrinkage and selection operator algorithm was used to select radiomic features. In this study, 9 machine learning radiomics prediction models were applied. The radiomics score was then calculated based on the best-performing machine learning model adopted. The clinical model was developed using the same machine learning model of radiomics. In the end, a combined model based on clinical factors and radiomics features was developed. The area under the receiver operating characteristic curve (AUC) value and decision curve analysis (DCA) were used to evaluate the clinical usefulness of the prediction model. Results: The combined model established by the Gaussian Naive Bayes machine learning method exhibited the best performance. The AUC of the combined model, clinical model, and radiomics model were 0.81, 0.80, and 0.68 in the training group and 0.91, 0.80, and 0.81 in the test group, respectively. The Brier scores of the combined model were 0.171 and 0.112. The DCA curve also showed that the combined model was beneficial to clinical settings. Conclusion: The combined model integration of radiomics features and clinical parameters may have potential value for the preoperative differentiation of pIMA from mIMA.

BACKGROUND: Spontaneous visceral artery dissection (SVAD) is a rare condition that affects the visceral arteries, such as the celiac, superior mesenteric, and inferior mesenteric arteries, without involving the aorta. Organ ischemia or hemorrhage from vessel rupture can occur in SVAD; therefore, prompt detection and management is essential. Contrast-enhanced computed tomography (CECT) has been used to diagnose most of the previous cases, but few studies have explored the potential of contrast-enhanced ultrasound (CEUS) for early detection of this disease.
METHODS: A 53-year-old male presented with complaints of poor appetite and abnormal liver function for the past 6 months. He had previously undergone transabdominal splenectomy, esophagogastric devascularization, and cholecystectomy for gallstones and severe portal hypertension. Liver ultrasound was performed in our department to assess liver status. An abnormal hepatic artery spectrum was observed, and dissection involving both the celiac artery and the common hepatic artery was observed. A CEUS was then performed and clearly showed the entry site of the intimal tear and the false lumen, and dissection was subsequently confirmed by CECT. The patient was asymptomatic; therefore, treatment to control the blood pressure was provided, and follow-up was recommended. After 6 months of follow-up, the celiac artery was found to be dilated with an adherent thrombus visible in the wall, and the common hepatic artery was occluded with the presence of collateralization. Despite these findings, no significant changes in liver function were observed.
CONCLUSIONS: Multi-modal imaging is effective in diagnosing SVAD, and conservative treatment is a choice for asymptomatic patients.