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Purpose: Developed and validated a deep learning radiomics nomogram using multi-phase contrast-enhanced computed tomography (CECT) images to predict neoadjuvant chemotherapy (NAC) response in locally advanced gastric cancer (LAGC) patients. Methods: This multi-center study retrospectively included 322 patients diagnosed with gastric cancer from January 2013 to June 2023 at two hospitals. Handcrafted radiomics technique and the EfficientNet V2 neural network were applied to arterial, portal venous, and delayed phase CT images to extract two-dimensional handcrafted and deep learning features. A nomogram model was built by integrating the handcrafted signature, the deep learning signature, with clinical features. Discriminative ability was assessed using the receiver operating characteristics (ROC) curve and the precision-recall (P-R) curve. Model fitting was evaluated using calibration curves, and clinical utility was assessed through decision curve analysis (DCA). Results: The nomogram exhibited excellent performance. The area under the ROC curve (AUC) was 0.848 [95% confidence interval (CI), 0.793–0.893)], 0.802 (95% CI 0.688–0.889), and 0.751 (95% CI 0.652–0.833) for the training, internal validation, and external validation sets, respectively. The AUCs of the P-R curves were 0.838 (95% CI 0.756–0.895), 0.541 (95% CI 0.329–0.740), and 0.556 (95% CI 0.376–0.722) for the corresponding sets. The nomogram outperformed the clinical model and handcrafted signature across all sets (all P < 0.05). The nomogram model demonstrated good calibration and provided greater net benefit within the relevant threshold range compared to other models. Conclusion: This study created a deep learning nomogram using CECT images and clinical data to predict NAC response in LAGC patients undergoing surgical resection, offering personalized treatment insights. [ABSTRACT FROM AUTHOR]

Background: Extraskeletal mesenchymal chondrosarcoma (ESMC), an uncommon and highly aggressive form of chondrosarcoma, is characterized by its mesenchymal origin and absence of skeletal involvement. Only a few cases of primary ESMC with metastasis to the pancreas have been reported so far. In this study, we present a case of ESMC in the left thigh with a solitary pancreatic metastasis in a 45-year-old woman. Additionally, we provide a thorough overview of ESMC, encompassing its entire clinical progression and radiographic observations. Furthermore, we reviewed all thirteen cases of pancreatic metastasis, including this present case, analyzing patient attributes, clinical management, and prognosis. Case presentation: A 45-year-old woman has had a painless mass in her left thigh for one year. X-ray, computed tomography (CT), andmagnetic resonance imaging of the left thigh were performed. Positron emission tomography-CT imaging showed a high accumulation in the left thigh tumor and the pancreatic neck lesion. A diagnosis of extraskeletal chondrosarcoma with pancreatic metastasis was determined based on the radiological examinations. A final diagnosis of ESMC was confirmed by histopathological and immunohistochemical examinations after surgical resection. The patient presentedmetastasis in the lung, right groin, and tail of the pancreas successively, and mostly received complete surgical excision during a 39-month follow-up with postoperative chemotherapy. Conclusion: We present a highly uncommon case of ESMC spreading to the pancreas and highlight the importance of recognizing the distinctive imaging features of ESMC for diagnosis and prognosis assessment. [ABSTRACT FROM AUTHOR]

Introduction: Contrast-enhanced computed tomography (CE-CT) has been gaining attention as an initial investigation in the management of colonic diverticular bleeding (CDB), yet the role of CE-CT other than its diagnostic yield has not been adequately clarified. We aimed to determine whether the use of urgent CE-CT improves identification of stigmata of recent hemorrhage (SRH) in subsequently performed early colonoscopy (≤24 h of arrival) or other clinical outcomes of CDB. Methods: We conducted a randomized, open-label, controlled trial at 23 institutions in Japan. Outpatients with suspected CDB were randomly assigned to undergo either urgent CE-CT followed by early colonoscopy (urgent-CE-CT + early-colonoscopy group) or early colonoscopy alone (early-colonoscopy group). The primary outcome was SRH identification. Secondary outcomes included successful endoscopic hemostasis, early (<30 days) and late (<1 year) rebleeding, length of hospital stay, and transfusion requirements. Results: In total, 240 patients, mostly in a hemodynamically stable condition, were randomized. A contrast extravasation on CE-CT was observed in 20 of 115 patients (17.4%) in the urgent-CE-CT + early-colonoscopy group. SRH was identified in 23 of 115 patients (20.0%) in the urgent-CE-CT + early-colonoscopy group and 21 of 118 patients (17.8%) in the early-colonoscopy group (difference, 2.2; 95% confidence interval [CI], −7.9 to 12.3; p = 0.739). Successful endoscopic hemostasis was achieved in 21 patients in each group (18.3% and 17.8%, respectively) (difference, 0.5; 95% CI, −9.4 to 10.4; p = 1.000). There were also no significant differences between groups in early and late rebleeding, length of hospital stay, and transfusion requirements. Conclusion: The use of urgent CE-CT before early colonoscopy did not improve SRH identification or other clinical outcomes in patients with suspected CDB in a hemodynamically stable condition. The routine use of urgent CE-CT as an initial investigation is not recommended in this population, also considering the low rate of extravasation-positive cases (UMIN registry number, UMIN000026865). [ABSTRACT FROM AUTHOR]

Introduction: Contrast‐enhanced computed tomography (CECT) is an emergent diagnostic imaging modality to identify the bleeding site and survey the abdominal cavity. The diagnostic utility of CECT for ectopic pregnancy (EP) has not been well‐investigated. The objective of this study was to evaluate the characteristics of CECT findings in patients with EP and extract specific findings that could contribute to the identification of implantation sites. Method: We conducted a retrospective study, reviewing suspected EP cases between April 2015 and March 2018 in our hospital. Clinical symptoms, blood test results, transvaginal sonography findings, and surgical and pathologic findings from the medical records were assessed. CECT images were evaluated by a certified radiologist and gynecologist retrospectively in consensus. The following were selected as positive findings for specific determination of the ectopic implantation site: the ectopic gestational sac, lateralization of the hemoperitoneum around the adnexa on either side, and extravascular leakage of the contrast agent outside the uterine cavity. Results: CECT was performed in 41 women with an EP. The ectopic implantation site was detectable on CECT in 90.2% (37/41), whereas it was noted in 70.0% (32/41) on transvaginal ultrasonography (TVS). Of nine patients with an EP with an undetectable implantation site on TVS, six were positive for the specific determination of the ectopic implantation site on CECT. Conclusion: CECT has the potential to predict ectopic implantation sites with high‐level sensitivity. As CECT is an urgent diagnostic imaging tool to be used in an emergent setting, it may be a good option for EP diagnosis when the availability of magnetic resonance imaging is limited. Synopsis: Contrast‐enhanced computed tomography has the potential to predict ectopic implantation sites and is a useful imaging tool in emergency situations. [ABSTRACT FROM AUTHOR]

Background: Lymphovascular invasion (LVI) is a significant risk factor for lymph node metastasis in gastric cancer (GC) and is closely related to the prognosis and recurrence of GC. This study aimed to establish clinical models, radiomics models and combination models for the diagnosis of GC vascular invasion. Methods: This study enrolled 146 patients with GC proved by pathology and who underwent radical resection of GC. The patients were assigned to the training and validation cohorts. A total of 1,702 radiomic features were extracted from contrast-enhanced computed tomography images of GC. Logistic regression analyses were performed to establish a clinical model, a radiomics model and a combined model. The performance of the predictive models was measured by the receiver operating characteristic (ROC) curve. Results: In the training cohort, the age of LVI negative (-) patients and LVI positive (+) patients were 62.41 ± 8.41 and 63.76 ± 10.08 years, respectively, and there were more male (n = 63) than female (n = 19) patients in the LVI (+) group. Diameter and differentiation were the independent risk factors for determining LVI (-) and (+). A combined model was found to be relatively highly discriminative based on the area under the ROC curve for both the training (0.853, 95% CI: 0.784-0.920, sensitivity: 0.650 and specificity: 0.907) and the validation cohorts (0.742, 95% CI: 0.559-0.925, sensitivity: 0.736 and specificity: 0.700). Conclusions: The combined model had the highest diagnostic effectiveness, and the nomogram established by this model had good performance. It can provide a reliable prediction method for individual treatment of LVI in GC before surgery. [ABSTRACT FROM AUTHOR]

Objective: Contrast-enhanced computed tomography (CECT) improves lesion contrast with surrounding tissues through the injection of contrast agents. This enhancement allows for more precise lesion characterization, aiding in the early diagnosis of clear cell renal cell carcinoma (ccRCC). This meta-analysis aims to assess the diagnostic efficacy of CECT in ccRCC and to provide an ideal imaging examination method for the preoperative diagnosis of ccRCC. Methods: We conducted a comprehensive search across six major online databases: PubMed, Web of Science, Cochrane Library, WANFANG DATA, China National Knowledge Infrastructure, and Chinese BioMedical Literature Database (CBM). The objective was to collate and analyze studies that evaluate the diagnostic utility of CECT in the identification of ccRCC. Meta-disc 1.4 and Stata 16.0 were used to conduct a meta-analysis and evaluate the diagnostic accuracy of CECT for ccRCC. Results: The meta-analysis included 17 relevant studies investigating the diagnostic value of CECT for ccRCC. The combined sensitivity and specificity of CECT were 0.88 (95% confidence interval: 0.83–0.91) and 0.82 (95%CI: 0.75–0.87), respectively. Positive diagnostic likelihood ratio = 4.87 (95%CI: 3.47–6.84), negative diagnostic likelihood ratio = 0.15 (95%CI: 0.11–0.21), and diagnostic odds ratio = 32.67 (95%CI: 18.21–58.61). In addition, the area under the ROC curve was 0.92 (95%CI: 0.89–0.94), indicating that CECT has a decent discriminative ability in diagnosing ccRCC. Conclusions: CECT is recognized as a highly effective imaging tool for diagnosing ccRCC. It provides valuable guidance in the preoperative assessment and planning of surgical strategies for patients with ccRCC. [ABSTRACT FROM AUTHOR]

Key Clinical Message: Cervicofacial necrotizing fasciitis (CNF) can occur as a dental complication in young, healthy individuals. Early diagnosis, treatment, and awareness of severe acute cervicofacial pain, rapid swelling, and radiological gas formation are crucial. Broad molecular profiling is recommended for understanding the organisms involved in such infections in future research. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. 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. 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. The degree of necrosis in LEPP assessed using early CECT of SAP was a better predictor of mortality than the extent of pancreatic inflammation. [ABSTRACT FROM AUTHOR]

Abstract Objective Contrast-enhanced computed tomography (CECT) improves lesion contrast with surrounding tissues through the injection of contrast agents. This enhancement allows for more precise lesion characterization, aiding in the early diagnosis of clear cell renal cell carcinoma (ccRCC). This meta-analysis aims to assess the diagnostic efficacy of CECT in ccRCC and to provide an ideal imaging examination method for the preoperative diagnosis of ccRCC. Methods We conducted a comprehensive search across six major online databases: PubMed, Web of Science, Cochrane Library, WANFANG DATA, China National Knowledge Infrastructure, and Chinese BioMedical Literature Database (CBM). The objective was to collate and analyze studies that evaluate the diagnostic utility of CECT in the identification of ccRCC. Meta-disc 1.4 and Stata 16.0 were used to conduct a meta-analysis and evaluate the diagnostic accuracy of CECT for ccRCC. Results The meta-analysis included 17 relevant studies investigating the diagnostic value of CECT for ccRCC. The combined sensitivity and specificity of CECT were 0.88 (95% confidence interval: 0.83–0.91) and 0.82 (95%CI: 0.75–0.87), respectively. Positive diagnostic likelihood ratio = 4.87 (95%CI: 3.47–6.84), negative diagnostic likelihood ratio = 0.15 (95%CI: 0.11–0.21), and diagnostic odds ratio = 32.67 (95%CI: 18.21–58.61). In addition, the area under the ROC curve was 0.92 (95%CI: 0.89–0.94), indicating that CECT has a decent discriminative ability in diagnosing ccRCC. Conclusions CECT is recognized as a highly effective imaging tool for diagnosing ccRCC. It provides valuable guidance in the preoperative assessment and planning of surgical strategies for patients with ccRCC.

This study aimed to establish a clinical prediction model for vessels encapsulating tumor clusters (VETC) based on preoperative ultrasonography (US) and contrast-enhanced computed tomography (CECT) imaging in patients with hepatocellular carcinoma (HCC). Data were retrospectively collected from 215 patients who underwent hepatectomy for solitary HCC lesions. They were divided into training and validation cohorts at a ratio of 6:4. Preoperative imaging features were extracted (seven from US and nine from CECT imaging) to explore their relationship with VETC. A VETC prediction model was constructed and graphically depicted as a nomogram. Its performance was evaluated via the receiver operating characteristic (ROC) curve, the calibration curve, and decision curve analysis (DCA). The VETC incidence for all the lesions was 37.7%. The final variables included in the nomogram were "peritumoral enhancement in CECT", "alpha-fetoprotein level > 200 ng/Ml," "halo in US," "capsule enhancement in CECT," and "posterior acoustic enhancement in US." The area under the curve (AUC) values for the training and validation cohorts were 0.824 and 0.725, respectively. The Hosmer–Lemeshow fit test showed no statistical difference (p = 0.369 and p = 0.067 for the training and validation cohorts, respectively). DCA demonstrated that our nomogram provided clinical benefits to a wide range of patients. According to the nomogram score, the VETC-positive and -negative groups demonstrated significant differences in both the training (p < 0.001) and validation (p = 0.001) cohorts. Our prediction model based on US and CECT imaging features can accurately predict VETC in HCC. [ABSTRACT FROM AUTHOR]

Depth of invasion (DOI) is an established independent prognostic factor in oral squamous cell carcinoma (OSCC) and also predicts cervical nodal metastasis. Preoperative determination of DOI based on imaging can aid in decision-making regarding neck dissection or determining the prognosis of the disease. This study aimed to correlate the DOI measured on contrast enhanced computed tomography (rDOI) with the pathologically measured DOI (pDOI). Retrospective data of patients with OSCC of the gingivobuccal complex from January 2023 to July 2023 was collected. Two radiologists independently measured the DOI on axial and coronal planes of CECT. The correlation between rDOI and pDOI was determined. Stepwise multiple linear regression analysis was performed to predict the pDOI using rDOI. ROC curve analysis was performed for the rDOI as measured on both axial and coronal sections in predicting the nodal metastasis. A total of 59 patients were included in the study. The mean rDOI was 11.06 mm on axial section and 10.9 mm on coronal section, and pDOI was 9.7 mm. Spearman's correlation coefficient between pDOI and rDOI measured on axial (rho = 0.61; p value = 0.001) and coronal (rho = 0.62; p value = 0.001) sections implied strong correlation which was statistically significant. The present study attempted to establish the correlation and accuracy of CECT-determined rDOI in axial and coronal planes in gingivobuccal complex tumours. Multicentric studies with a larger sample size are mandated to augment the results obtained in this study. [ABSTRACT FROM AUTHOR]

Abstract An 8‐year‐old Leonberger receiving immunosuppressive treatment with clinical signs of acute dyspnea, cyanosis, and difficulty standing was referred to our institution (Day 1). Treatment including oxygen, clopidogrel, and low‐molecular‐weight heparin was initiated for suspected pulmonary thrombosis. However, exertional dyspnea persisted until Day 10, and increased tricuspid regurgitation velocity, pulmonary vascular resistance, and McConnell's signs also were observed. Thus, beraprost sodium was administered PO on Day 11 to treat suspected pulmonary hypertension. On Day 13, contrast‐enhanced computed tomography identified extensive contrast defects in the pulmonary arteries, and IV monteplase was administered on Days 14 and 18, with marked improvement in respiratory status and exertional dyspnea on Day 20. Right ventricular function and McConnell signs also improved, and tricuspid regurgitation velocity and pulmonary vascular resistance decreased. On Day 250, echocardiography indicated further improvement in pulmonary hypertension pathophysiology. The patient was still progressing well with antithrombotic and pulmonary vasodilator treatment 400 days later.

Abstract 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. Patients and 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. Conclusion 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.

Introduction: Advancements in Computed Tomography (CT) have been continuously updated with the intravenous administration of contrast media, which enhances the visibility of internal organs and structures in CT scans. Contrast media administration often alters blood pressure. Aim: To observe the blood pressure variations among patients undergoing Contrast-enhanced Computed Tomography (CECT) thorax and Non Contrast Computed Tomography (NCCT) thorax. Materials and Methods: A cross-sectional study was conducted at the Department of Radiodiagnosis and Medical Imaging at Yenepoya Medical Hospital, Deralakatte, Mangaluru, Karnataka, India from February 2022 to August 2022. Patients who underwent examinations of NCCT thorax and CECT thorax within the age group of 20-80 years, involving 62 participants (31- CECT, 31- NCCT) were included. Intravascular contrast material was administered to the patient during a CECT thorax scan. One reader independently recorded the Systolic Blood Pressure (SBP) and Diastolic Blood Pressure (DBP) five minutes before and five minutes after the venous phase in the CECT thorax and five minutes prior to and five minutes after in the NCCT thorax group.. A paired t-test was used for the comparison of SBP and DBP within the group. Results: The mean SBP before the scan was 120.7 mmHg {Standard Deviation (SD)=13.6} and after the scan was 130.7±12.1 mmHg. The mean DBP before the scan was 78.9±8.9 mmHg, and after the scan was 84.2±12.0 mmHg, respectively, before and after the injection of contrast. Therefore, a significant difference was found in the mean SBP and DBP before and after the injection of contrast within the CECT thorax group. Conclusion: There was an increase in blood pressure in patients who had undergone CECT thorax in both males and females. Hence, evaluating BP will provide awareness of different risk factors that can be caused due to the administration of contrast media.

Background: Blunt trauma Abdomen (BTA) due to RTA is the sixth leading cause of death in India. Conservative management of most blunt abdominal injuries developed from the observation that most of these injuries would 'heal themselves' and that operative intervention could interfere with this process. Aim: To evaluate the outcome of conservative management of solid visceral injuries in BTA.Design: Prospective observational study. Methods:Study conducted in the Postgraduate Deptt. of Surgery, Govt. Medical College Jammu entailing 72 patients of BTA admitted from October 2018 to November 2019. Results: Out of 72 patients, 56 males were & 16 females. 69.44% had RTA. Most common age group was 21-30 years (30.56%).56.94% patients reported to hospital within 2 to 6 hours.FAST was positive in 95.83% patients. Liver was most commonly affected solid organ. 77.77% were managed conservatively and average hospital stay was 9.78 days. 4.16% patients of BTA expired in the study. Conclusion: In almost all the solitary solid visceral injuries with mild to moderate hemodynamic changes, Non Operative Management (NOM) is highly successful. It is concluded that all the isolated solid visceral injuries must be given fair chance of NOM where facilities of medical care or surgical ICUs are available for continuous monitoring. [ABSTRACT FROM AUTHOR]

An 8‐year‐old Leonberger receiving immunosuppressive treatment with clinical signs of acute dyspnea, cyanosis, and difficulty standing was referred to our institution (Day 1). Treatment including oxygen, clopidogrel, and low‐molecular‐weight heparin was initiated for suspected pulmonary thrombosis. However, exertional dyspnea persisted until Day 10, and increased tricuspid regurgitation velocity, pulmonary vascular resistance, and McConnell's signs also were observed. Thus, beraprost sodium was administered PO on Day 11 to treat suspected pulmonary hypertension. On Day 13, contrast‐enhanced computed tomography identified extensive contrast defects in the pulmonary arteries, and IV monteplase was administered on Days 14 and 18, with marked improvement in respiratory status and exertional dyspnea on Day 20. Right ventricular function and McConnell signs also improved, and tricuspid regurgitation velocity and pulmonary vascular resistance decreased. On Day 250, echocardiography indicated further improvement in pulmonary hypertension pathophysiology. The patient was still progressing well with antithrombotic and pulmonary vasodilator treatment 400 days later. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. Patients and 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. Conclusion: 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. [ABSTRACT FROM AUTHOR]

Background: During systemic therapy, the management of portal hypertension (PH)-related complications is vital. This study aimed to clarify factors associated with the incidence and exacerbation of PH-related complications, including the usefulness of contrast-enhanced computed tomography (CECT) in the management of PH-related complications during systemic therapy. Methods: A total of 669 patients who received systemic therapy as first-line treatment (443 patients for sorafenib, 131 for lenvatinib, and 90 for atezolizumab/bevacizumab [ATZ/BEV]) were enrolled in this retrospective study. Additionally, the lower esophageal intramural vessel diameters (EIV) on CECT and endoscopic findings in 358 patients were compared. Results: The cutoff values of the EIV diameter on CECT were 3.1 mm for small, 5.1 mm for medium, and 7.6 mm for large varices, demonstrating high concordance with the endoscopic findings. esophageal varices (EV) bleeding predictors include EIV ≥ 3.1 mm and portal vein tumor thrombosis (PVTT). In patients without EV before systemic therapy, factors associated with EV exacerbation after 3 months were EIV ≥ 1.9 mm and ATZ/BEV use. Predictors of hepatic encephalopathy (HE) include the ammonia level or portosystemic shunt diameter ≥ 6.8 mm. The incidence of HE within 2 weeks was significantly higher (18%) in patients with an ammonia level ≥ 73 μmol/L and a portosystemic shunt ≥ 6.8 mm. The exacerbating factors for ascites after 3 months were PVTT and low albumin levels. Conclusions: Careful management is warranted for patients with risk factors for exacerbation of PH-related complications; moreover, the effective use of CECT is clinically important. [ABSTRACT FROM AUTHOR]

Introduction: Advancements in Computed Tomography (CT) have been continuously updated with the intravenous administration of contrast media, which enhances the visibility of internal organs and structures in CT scans. Contrast media administration often alters blood pressure. Aim: To observe the blood pressure variations among patients undergoing Contrast-enhanced Computed Tomography (CECT) thorax and Non Contrast Computed Tomography (NCCT) thorax. Materials and Methods: A cross-sectional study was conducted at the Department of Radiodiagnosis and Medical Imaging at Yenepoya Medical Hospital, Deralakatte, Mangaluru, Karnataka, India from February 2022 to August 2022. Patients who underwent examinations of NCCT thorax and CECT thorax within the age group of 20-80 years, involving 62 participants (31-CECT, 31-NCCT) were included. Intravascular contrast material was administered to the patient during a CECT thorax scan. One reader independently recorded the Systolic Blood Pressure (SBP) and Diastolic Blood Pressure (DBP) five minutes before and five minutes after the venous phase in the CECT thorax and five minutes prior to and five minutes after in the NCCT thorax group. A paired t-test was used for the comparison of SBP and DBP within the group. Results: The mean SBP before the scan was 120.7 mmHg {Standard Deviation (SD)=13.6} and after the scan was 130.7±12.1 mmHg. The mean DBP before the scan was 78.9±8.9 mmHg, and after the scan was 84.2±12.0 mmHg, respectively, before and after the injection of contrast. Therefore, a significant difference was found in the mean SBP and DBP before and after the injection of contrast within the CECT thorax group. Conclusion: There was an increase in blood pressure in patients who had undergone CECT thorax in both males and females. Hence, evaluating BP will provide awareness of different risk factors that can be caused due to the administration of contrast media. [ABSTRACT FROM AUTHOR]

Background: Computed tomography (CT) radiomics combined with deep transfer learning was used to identify cholesterol and adenomatous gallbladder polyps that have not been well evaluated before surgery. Purpose: To investigate the potential of various machine learning models, incorporating radiomics and deep transfer learning, in predicting the nature of cholesterol and adenomatous gallbladder polyps. Material and Methods: A retrospective analysis was conducted on clinical and imaging data from 100 patients with cholesterol or adenomatous polyps confirmed by surgery and pathology at our hospital between September 2015 and February 2023. Preoperative contrast-enhanced CT radiomics combined with deep learning features were utilized, and t -tests and least absolute shrinkage and selection operator (LASSO) cross-validation were employed for feature selection. Subsequently, 11 machine learning algorithms were utilized to construct prediction models, and the area under the ROC curve (AUC), accuracy, and F1 measure were used to assess model performance, which was validated in a validation group. Results: The Logistic algorithm demonstrated the most effective prediction in identifying polyp properties based on 10 radiomics combined with deep learning features, achieving the highest AUC (0.85 in the validation group, 95% confidence interval = 0.68–1.0). In addition, the accuracy (0.83 in the validation group) and F1 measure (0.76 in the validation group) also indicated strong performance. Conclusion: The machine learning radiomics combined with deep learning model based on enhanced CT proves valuable in predicting the characteristics of cholesterol and adenomatous gallbladder polyps. This approach provides a more reliable basis for preoperative diagnosis and treatment of these conditions. [ABSTRACT FROM AUTHOR]

Key Clinical Message Cervicofacial necrotizing fasciitis (CNF) can occur as a dental complication in young, healthy individuals. Early diagnosis, treatment, and awareness of severe acute cervicofacial pain, rapid swelling, and radiological gas formation are crucial. Broad molecular profiling is recommended for understanding the organisms involved in such infections in future research.

Wandering spleen (WS) concurrent with splenic pedicle torsion and infarction has been described rarely. We reported our experience in diagnosing and treating such a condition in a 16-year-old girl with acute abdominal pain. A plain CT scan showed the wandering of the spleen from the left upper quadrant. Contrast-enhanced CT indicated dilatation and distortion in the splenic vein, a counterclockwise “whirl sign” in the splenic pedicle, pancreatic tail torsion, and splenic infarction. The patient was diagnosed with WS combined with splenic pedicle torsion and splenic infarction and underwent splenectomy for treatment. She showed a satisfactory outcome during the follow-up. To enhance our understanding of it, we performed a comprehensive literature research to summarize the clinical manifestations, treatment options, and outcomes among adolescent patients.

BACKGROUND: Post-traumatic osteoarthritis is a frequent joint disease in the horse. Currently, equine medicine lacks effective methods to diagnose the severity of chondral defects after an injury. OBJECTIVES: To investigate the capability of dual-contrast-enhanced computed tomography (dual-CECT) for detection of chondral lesions and evaluation of the severity of articular cartilage degeneration in the equine carpus ex vivo. STUDY DESIGN: Pre-clinical experimental study. METHODS: In nine Shetland ponies, blunt and sharp grooves were randomly created (in vivo) in the cartilage of radiocarpal and middle carpal joints. The contralateral joint served as control. The ponies were subjected to an 8-week exercise protocol and euthanised 39 weeks after surgery. CECT scanning (ex vivo) of the joints was performed using a micro-CT scanner 1 hour after an intra-articular injection of a dual-contrast agent. The dual-contrast agent consisted of ioxaglate (negatively charged, q = -1) and bismuth nanoparticles (BiNPs, q = 0, diameter ≈ 0.2 µm). CECT results were compared to histological cartilage proteoglycan content maps acquired using digital densitometry. RESULTS: BiNPs enabled prolonged visual detection of both groove types as they are too large to diffuse into the cartilage. Furthermore, proportional ioxaglate diffusion inside the tissue allowed differentiation between the lesion and ungrooved articular cartilage (3 mm from the lesion and contralateral joint). The mean ioxaglate partition in the lesion was 19 percentage points higher (P

Abstract Background This study aimed to explore the incidence of occult lymph node metastasis (OLM) in clinical T1 − 2N0M0 (cT1 − 2N0M0) small cell lung cancer (SCLC) patients and develop machine learning prediction models using preoperative intratumoral and peritumoral contrast-enhanced CT-based radiomic data. Methods By conducting a retrospective analysis involving 242 eligible patients from 4 centeres, we determined the incidence of OLM in cT1 − 2N0M0 SCLC patients. For each lesion, two ROIs were defined using the gross tumour volume (GTV) and peritumoral volume 15 mm around the tumour (PTV). By extracting a comprehensive set of 1595 enhanced CT-based radiomic features individually from the GTV and PTV, five models were constucted and we rigorously evaluated the model performance using various metrics, including the area under the curve (AUC), accuracy, sensitivity, specificity, calibration curve, and decision curve analysis (DCA). For enhanced clinical applicability, we formulated a nomogram that integrates clinical parameters and the rad_score (GTV and PTV). Results The initial investigation revealed a 33.9% OLM positivity rate in cT1 − 2N0M0 SCLC patients. Our combined model, which incorporates three radiomic features from the GTV and PTV, along with two clinical parameters (smoking status and shape), exhibited robust predictive capabilities. With a peak AUC value of 0.772 in the external validation cohort, the model outperformed the alternative models. The nomogram significantly enhanced diagnostic precision for radiologists and added substantial value to the clinical decision-making process for cT1 − 2N0M0 SCLC patients. Conclusions The incidence of OLM in SCLC patients surpassed that in non-small cell lung cancer patients. The combined model demonstrated a notable generalization effect, effectively distinguishing between positive and negative OLMs in a noninvasive manner, thereby guiding individualized clinical decisions for patients with cT1 − 2N0M0 SCLC.

Introduction: 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. Case Presentation: 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. Conclusion: 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.

Purpose: This study aimed to assess the diagnostic performance of dynamic chest radiography (DCR) and investigate its added value to chest radiography (CR) in detecting pulmonary embolism (PE). Methods: Of 775 patients who underwent CR and DCR in our hospital between June 2020 and August 2022, individuals who also underwent contrast-enhanced CT (CECT) of the chest within 72 h were included in this study. PE or non-PE diagnosis was confirmed by CECT and the subsequent clinical course. The enrolled patients were randomized into two groups. Six observers, including two thoracic radiologists, two cardiologists, and two radiology residents, interpreted each chest radiograph with and without DCR using a crossover design with a washout period. Diagnostic performance was compared between CR with and without DCR in the standing and supine positions. Results: Sixty patients (15 PE, 45 non-PE) were retrospectively enrolled. The addition of DCR to CR significantly improved the sensitivity, specificity, accuracy, and area under the curve (AUC) in the standing (35.6–70.0 % [P < 0.0001], 84.8–93.3 % [P = 0.0010], 72.5–87.5 % [P < 0.0001], and 0.66–0.85 [P < 0.0001], respectively) and supine (33.3–65.6 % [P < 0.0001], 78.5–92.2 % [P < 0.0001], 67.2–85.6 % [P < 0.0001], and 0.62–0.80 [P = 0.0002], respectively) positions for PE detection. No significant differences were found between the AUC values of DCR with CR in the standing and supine positions (P = 0.11) or among radiologists, cardiologists, and radiology residents (P = 0.14–0.68). Conclusions: Incorporating DCR with CR demonstrated moderate sensitivity, high specificity, and high accuracy in detecting PE, all of which were significantly higher than those achieved with CR alone, regardless of scan position, observer expertise, or experience.

A 49-year-old woman with tachycardia was referred to our institution. Transthoracic echocardiography revealed severe mitral regurgitation, and surgery was planned. While awaiting surgery, she developed a fever. Transthoracic echocardiography and transesophageal echocardiography revealed vegetation on the mitral valve leaflet. Blood cultures were positive for Streptococcus anginosus. She was diagnosed with infective endocarditis, and antibiotics were administered. She experienced sudden abdominal pain 26 days after hospitalization. Contrast-enhanced computed tomography scan revealed a mycotic superior mesenteric artery aneurysm with impending rupture without intestinal ischemia, and aneurysm resection was performed. Mitral valve replacement was performed on postoperative day 10, with uneventful postoperative healing.

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. [ABSTRACT FROM AUTHOR]

Background: This study aimed to explore the incidence of occult lymph node metastasis (OLM) in clinical T1 − 2N0M0 (cT1 − 2N0M0) small cell lung cancer (SCLC) patients and develop machine learning prediction models using preoperative intratumoral and peritumoral contrast-enhanced CT-based radiomic data. Methods: By conducting a retrospective analysis involving 242 eligible patients from 4 centeres, we determined the incidence of OLM in cT1 − 2N0M0 SCLC patients. For each lesion, two ROIs were defined using the gross tumour volume (GTV) and peritumoral volume 15 mm around the tumour (PTV). By extracting a comprehensive set of 1595 enhanced CT-based radiomic features individually from the GTV and PTV, five models were constucted and we rigorously evaluated the model performance using various metrics, including the area under the curve (AUC), accuracy, sensitivity, specificity, calibration curve, and decision curve analysis (DCA). For enhanced clinical applicability, we formulated a nomogram that integrates clinical parameters and the rad_score (GTV and PTV). Results: The initial investigation revealed a 33.9% OLM positivity rate in cT1 − 2N0M0 SCLC patients. Our combined model, which incorporates three radiomic features from the GTV and PTV, along with two clinical parameters (smoking status and shape), exhibited robust predictive capabilities. With a peak AUC value of 0.772 in the external validation cohort, the model outperformed the alternative models. The nomogram significantly enhanced diagnostic precision for radiologists and added substantial value to the clinical decision-making process for cT1 − 2N0M0 SCLC patients. Conclusions: The incidence of OLM in SCLC patients surpassed that in non-small cell lung cancer patients. The combined model demonstrated a notable generalization effect, effectively distinguishing between positive and negative OLMs in a noninvasive manner, thereby guiding individualized clinical decisions for patients with cT1 − 2N0M0 SCLC. [ABSTRACT FROM AUTHOR]

Introduction: Contrast-enhanced computed tomography (CT) of the spleen in dogs and cats often displays a heterogeneous enhancement pattern. This study aimed to describe the CT appearances and duration of heterogeneous splenic enhancement in clinically healthy cats and to compare those enhancements with diffuse infiltrative splenic lesions (DISL). Methods: Spleens of 14 healthy cats were imaged using contrast-enhanced CT protocols which were obtained at 10, 25, and 45 s, and then every 40 s thereafter until 245 s had past from the initiation of contrast medium injection. The presence of transient splenic heterogeneity was evaluated. In addition, the relationships of certain variables including age, weight, systolic blood pressure, and splenic volume to the duration and the degree of splenic enhancement were determined. Also, medical records and CT images of five cats with DISL were retrospectively evaluated. Result: Transient heterogeneous enhancement of the spleen was observed in all 14 healthy cats, and the maximum heterogeneity was observed 25 s after the injection. Splenic heterogeneity lasted more than 5 min in nine of 14 cats (64.3%). No statistically significant relationships were seen between the duration and degree of splenic heterogeneity in the images taken 25 s after the injection and variables including weight, age, systolic blood pressure, and splenic volume. Discussion: Compared to the healthy group, early homogeneous splenic enhancement along with generalized splenomegaly was observed in all cats with DISL. Transient splenic heterogeneity is highly common in cats undergoing contrast-enhanced CT even in the generally scanned delayed phases, which can help with the interpretation of CT images of feline spleens. In addition, our results suggest that homogeneous splenic enhancement in post-contrast CT scans along with splenomegaly on CT images could be useful as a diagnostic indicator of DISL in cats. [ABSTRACT FROM AUTHOR]

Background: There is a risk of cephalic vein injury during shoulder arthroscopy. However, limited data regarding its anatomic course are available. Purpose: To analyze the positional relationship and factors affecting the distance between the coracoid tip and cephalic veins. Study design: Case series; Level of evidence, 4. Methods: A total of 80 contrast‐enhanced computed tomography images from 80 patients (mean age, 49.6 ± 20.3 years; 61 men) were retrospectively analyzed. The distance between the center of the coracoid tip and the vertical line through the cephalic vein was measured in the axial (D1) and sagittal (D2) planes. The distance between 1 cm lateral to the center of the coracoid tip and the vertical line through the cephalic vein was measured in the sagittal plane (D3). Each distance was compared according to patient sex and laterality. Associations between each distance and the patient's age, height, weight, and body mass index were investigated. Results: The mean D1 was 18.4 ± 7.3 mm in 59 patients. The mean D2 was 23.4 ± 11.6 mm, and it was within 10 mm in 10 patients (12.5%). The mean D3 was 33.7 ± 12.2 mm. There was no significant difference in D1, D2, and D3 according to patient sex or laterality. A positive correlation was observed only between D3 and patient height (r = 0.320; P =.034). Conclusion: The cephalic vein was found to travel a mean of 23.4 mm distal and 33.7 mm distal to 1 cm lateral to the coracoid tip. Therefore, Care should be taken to avoid cephalic vein injury when creating an anterior inferior portal or 5-o'clock portal around these areas. [ABSTRACT FROM AUTHOR]

Background: The goal of our study is to evaluate a method to quantify aortic valve calcification (AVC) in contrast-enhanced computed tomography for patients with suspected severe aortic stenosis pre-interventionally. Methods: A total of sixty-five patients with aortic stenosis underwent both a native and a contrast-enhanced computed tomography (CECT) scan of the aortic valve (45 in the training cohort and 20 in the validation cohort) using a standardized protocol. Aortic valve calcification was semi-automatically quantified via the Agatston score method for the native scans and was used as a reference. For contrast-enhanced computed tomography, a calcium threshold of the Hounsfield units of the aorta plus four times the standard deviation was used. Results: For the quantification of aortic valve calcification in contrast-enhanced computed tomography, a conversion formula (691 + 1.83 x AVCCECT) was derived via a linear regression model in the training cohort. The validation in the second cohort showed high agreement for this conversion formula with no significant proportional bias (Bland–Altman, p = 0.055) and with an intraclass correlation coefficient in the validation cohort of 0.915 (confidence interval 95% 0.786–0.966) p < 0.001. Conclusions: Calcium scoring in patients with aortic valve stenosis can be performed using contrast-enhanced computed tomography with high validity. Using a conversion factor led to an excellent agreement, thereby obviating an additional native computed tomography scan. This might contribute to a decrease in radiation exposure. [ABSTRACT FROM AUTHOR]

The article focuses on developing a comprehensive protocol for managing febrile urinary tract infections (fUTI) in children, with a specific emphasis on determining the most effective duration of antimicrobial therapy. It aims to optimize treatment strategies, minimize the need for invasive procedures like contrast-enhanced computed tomography (eCT), and reduce the risk of complications such as renal scarring.

This retrospective cohort study examined the effects of the crossed raised arm (CRA) position in contrast-enhanced computed tomography (CECT) on contrast medium influx and image quality relative to the conventional position. Contrast medium influx into the collateral veins on CECT images was evaluated in 92 participants. The CT values of the pulmonary artery, descending aorta, and spleen were obtained in both positions and compared. Anatomical changes in the diameters and area of the subclavian vein and costoclavicular distance were also analyzed. Contras 27 and 6 patients in the conventional and CRA positions, respectively. The influx risk ratio in the CRA position versus that in the conventional position was 0.22 (95% confidence interval, 0.10–0.51). Elevations in the median CT value of the pulmonary artery, descending aorta, and spleen in the CRA position were 7.0% (p <.001), 7.4% (p <.001), and 9.8% (p <.001), respectively. Enlargements in the major and minor diameters of the subclavian vein, subclavian vein area, and costoclavicular distance in the CRA position versus those in the conventional position were 19.3% (p <.001), 28.1% (p <.001), 53.6%, and 30.0% (p <.001), respectively. The CRA position effectively prevented contrast medium influx into the collateral veins due to SVS and increased CT values in the target organs in CECT. The diameters and area of the subclavian vein and costoclavicular distance were enlarged at the thoracic outlet, which improved the flow of the contrast medium into the targeted organs. The CRA position can contribute to obtaining better CECT images during common clinical assessments at no additional cost. [Display omitted] [ABSTRACT FROM AUTHOR]

Background: Blunt trauma Abdomen (BTA) due to RTA is the sixth leading cause of death in India. Conservative management of most blunt abdominal injuries developed from the observation that most of these injuries would ‘heal themselves’ and that operative intervention could interfere with this process. Aim: To evaluate the outcome of conservative management of solid visceral injuries in BTA. Design: Prospective observational study. Methods: Study conducted in the Postgraduate Dept. of Surgery, Govt. Medical College Jammu entailing 72 patients of BTA admitted from October 2018 to November 2019. Results: Out of 72 patients, 56 males were & 16 females. 69.44% had RTA. Most common age group was 21-30 years (30.56%).56.94% patients reported to hospital within 2 to 6 hours. FAST was positive in 95.83% patients. Liver was most commonly affected solid organ. 77.77% were managed conservatively and average hospital stay was 9.78 days. 4.16% patients of BTA expired in the study. Conclusion: In almost all the solitary solid visceral injuries with mild to moderate hemodynamic changes, Non Operative Management (NOM) is highly successful. It is concluded that all the isolated solid visceral injuries must be given fair chance of NOM where facilities of medical care or surgical ICUs are available for continuous monitoring.

Air embolism is often an iatrogenic complication that may occur in venous or arterial circulation depending on the port of entry. We present a case of a 40-year-old female who had a venous air embolism in the pulmonary artery as a consequence of the injection of a contrast agent. She experienced dyspnea and chest pain following a contrast-enhanced chest computed tomography imaging. She was successfully treated and discharged from our hospital. Early detection of this clinical condition is essential to prevent morbidity and mortality.

Abstract Background To identify the factors influencing the early encapsulation of peripancreatic fluid/necrosis collections via contrast-enhanced computed tomography (CECT) and to determine the clinical significance of early encapsulation for determining the prognosis of acute pancreatitis (AP) patients. Methods AP patients who underwent CECT between 4 and 10 days after disease onset were enrolled in this study. Early encapsulation was defined as a continuous enhancing wall around peripancreatic fluid/necrosis collections on CECT. Univariate and multivariate logistic regression analyses were performed to assess the associations between the variables and early encapsulation. Clinical outcomes were compared between the non-encapsulation and early encapsulation groups with 1:1 propensity score matching. Results A total of 289 AP patients were enrolled. The intra-observer and inter-observer agreement were considered good (kappa statistics of 0.729 and 0.614, respectively) for identifying early encapsulation on CECT. The ratio of encapsulation increased with time, with a ratio of 12.5% on day 5 to 48.7% on day 9. Multivariate logistic regression analysis revealed that the longer time from onset to CECT examination (OR 1.55, 95% CI 1.23–1.97), high alanine aminotransferase level (OR 0.98, 95% CI 0.97–0.99), and high APACHE II score (OR 0.89, 95% CI 0.81–0.98) were found to be independent factors associated with delayed encapsulation. The incidence of persistent organ failure was significantly lower in the early encapsulation group after matching (22.4% vs 6.1%, p = 0.043). However, there was no difference in the incidence of infected pancreatic necrosis, surgical intervention, or in-hospital mortality. Conclusions AP patients without early encapsulation of peripancreatic fluid/necrosis collections have a greater risk of persistent organ failure. In addition to longer time, the high APACHE II score and elevated alanine aminotransferase level are factors associated with delayed encapsulation.

Wenying Qiao,1– 3,&ast; Zibo Fan,2,&ast; Qi Wang,2,&ast; Ronghua Jin,2,3 Caixia Hu1 1Interventional Therapy Center for Oncology, Beijing Youan Hospital, Capital Medical University, Beijing, People’s Republic of China; 2Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China; 3Changping Laboratory, Beijing, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Caixia HuInterventional Therapy Center for Oncology; Beijing You’an Hospital, Capital Medical University, 8 Xitoutiao, Youanmenwai Street, Fengtai District, Beijing, People’s Republic of China, Tel/Fax +86-13811395702, Email hucaixia1217@126.comRonghua JinBeijing Ditan Hospital, Capital Medical University, 8 Jingshun East Street, Chaoyang District, Beijing, People’s Republic of China, Tel/Fax +86-13811611118, Email ronghuajin@ccmu.edu.cnPurpose: We first aimed to compare the prognostic difference between the application of Contrast-enhanced computed tomography (CECT) and Non-enhanced computed tomography (NECT) in hepatocellular carcinoma(HCC) patients with early-stage immediately after ablation. We secondly propose to explore the risk factors for recurrence in patients undergoing CECT, and then develop a nomogram.Patients and Methods: Clinical data were collected from 711 patients who received TACE combined with ablation from January 1, 2015, to December 31, 2022, at Beijing Youan Hospital. According to the imaging methods applied after ablation, patients were categorized into the CECT group and the NECT group and then were compared by Kaplan-Meier (KM) curves. Lasso regression is used to screen risk factors for recurrence and the nomogram was plotted. Finally, discrimination, calibration plot, and decision curve analysis (DCA) were used to measure the performance of the nomogram.Results: The KM curve indicates that recurrence-free survival (RFS) was longer in the CECT group than in the NECT group (HR =0.759, 95% CI 0.606– 0.951, P=0.016). Six variables were selected to construct the nomogram. 1-, 3-, and 5-year area under the curves (AUCs) (0.867, 0.731, 0.773 and 0.896, 0.784, 0.773) of the training and validation cohorts proved the good predictive performance of the nomogram. Calibration curves and DCA curves suggested accuracy and net clinical benefit rates. The nomogram enabled to classify of patients into three groups according to the risk of recurrence: low risk, intermediate risk, and high risk. There was a statistically significant difference in RFS between the two groups in the training and validation cohorts (P< 0.001).Conclusion: We demonstrated that HCC patients who underwent CECT evaluation after ablation had a better prognosis, making this evaluation method highly recommended for guiding clinical management.Keywords: hepatocellular carcinoma, transcatheter arterial chemoembolization, contrast-enhanced computed tomography, recurrence-free survival, risk factors

Purpose: This study aims to develop and validate a deep learning radiomics nomogram (DLRN) for prediction of axillary lymph node metastasis (ALNM) in breast cancer patients. Materials and Methods: We retrospectively enrolled 196 patients with non-specific invasive breast cancer confirmed by pathology, radiomics and deep learning features were extracted from unenhanced and biphasic (arterial and venous phase) contrast-enhanced CT, and the non-linear support vector machine was used to construct the radiomics signature and the deep learning signature, respectively. Next, a DLRN was developed with independent predictors and evaluated the performance of models in terms of discrimination and clinical utility. Results: Multivariate logistic regression analysis showed that the radiomics signature, deep learning signature, and clinical n stage were independent predictors. The DLRN accurately predicted ALNM and yielded an area under the receiver operator characteristic curve of 0.893 (95% confidence interval, 0.814–0.972) in the validation set, with good calibration. Decision curve analysis confirmed that the DLRN had higher clinical utility than other predictors. Conclusions: The DLRN had good predictive value for ALNM in breast cancer patients and provide valuable information for individual treatment. [ABSTRACT FROM AUTHOR]

Acute lower gastrointestinal bleeding (ALGIB) increase with age and the administration of antiplatelet drugs. Colonic diverticular bleeding (CDB) is the most common cause of ALGIB, and endoscopic hemostasis is an effective treatment for massive CDB. But in patients without extravasation on contrast-enhanced computed tomography (CECT), the efficacy of urgent colonoscopy (UCS) is controversial from the point of the clinical course, including rebleeding rate. We aimed to establish a potential strategy including UCS for CDB patients without extravasation on CECT. Patients from two centers treated for CDB without extravasation on CECT between July 2014 and July 2019 were retrospectively identified (n = 282). Seventy-four underwent UCS, and 208 received conservative management. We conducted two analyses. The first analysis investigates the risk factors of rebleeding rate within 5 days after administration (very early rebleeding), and no UCS (NUCS) was not the independent factor of the very early rebleeding. The second analysis is whether UCS positively influenced the clinical course after hospitalization. The prevalence of very early rebleeding and early rebleeding (6–30 days from admission), patients requiring blood transfusion within 0–5 days and 6–30 days post-admission, and duration of hospitalization were examined as clinical course factors between UCS and NUCS group. There was no significant difference between the UCS and non-UCS groups in the clinical course factors. UCS for the CDB patients without extravasation was not improved rebleeding rate and clinical course. UCS is not necessary in case of CDB patient without extravasation on CECT. [ABSTRACT FROM AUTHOR]

Purpose: Non‐Contrast Enhanced CT (NCECT) is normally required for proton dose calculation while Contrast Enhanced CT (CECT) is often scanned for tumor and organ delineation. Possible tissue motion between these two CTs raises dosimetry uncertainties, especially for moving tumors in the thorax and abdomen. Here we report a deep‐learning approach to generate NCECT directly from CECT. This method could be useful to avoid the NCECT scan, reduce CT simulation time and imaging dose, and decrease the uncertainties caused by tissue motion between otherwise two different CT scans. Methods: A deep network was developed to convert CECT to NCECT. The network receives a 3D image from CECT images as input and generates a corresponding contrast‐removed NCECT image patch. Abdominal CECT and NCECT image pairs of 20 patients were deformably registered and 8000 image patch pairs extracted from the registered image pairs were utilized to train and test the model. CTs of clinical proton patients and their treatment plans were employed to evaluate the dosimetric impact of using the generated NCECT for proton dose calculation. Results: Our approach achieved a Cosine Similarity score of 0.988 and an MSE value of 0.002. A quantitative comparison of clinical proton dose plans computed on the CECT and the generated NCECT for five proton patients revealed significant dose differences at the distal of beam paths. V100% of PTV and GTV changed by 3.5% and 5.5%, respectively. The mean HU difference for all five patients between the generated and the scanned NCECTs was ∼4.72, whereas the difference between CECT and the scanned NCECT was ∼64.52, indicating a ∼93% reduction in mean HU difference. Conclusions: A deep learning approach was developed to generate NCECTs from CECTs. This approach could be useful for the proton dose calculation to reduce uncertainties caused by tissue motion between CECT and NCECT. [ABSTRACT FROM AUTHOR]

Introduction: 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. Case Presentation: 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. Conclusion: 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. [ABSTRACT FROM AUTHOR]

Objectives: In this study, we constructed and validated models based on deep learning and radiomics to facilitate preoperative diagnosis of cervical lymph node metastasis (LNM) using contrast-enhanced computed tomography (CECT). Materials and methods: CECT scans of 100 patients with OSCC (217 metastatic and 1973 non-metastatic cervical lymph nodes: development set, 76 patients; internally independent test set, 24 patients) who received treatment at the Peking University School and Hospital of Stomatology between 2012 and 2016 were retrospectively collected. Clinical diagnoses and pathological findings were used to establish the gold standard for metastatic cervical LNs. A reader study with two clinicians was also performed to evaluate the lymph node status in the test set. The performance of the proposed models and the clinicians was evaluated and compared by measuring using the area under the receiver operating characteristic curve (AUC), accuracy (ACC), sensitivity (SEN), and specificity (SPE). Results: A fusion model combining deep learning with radiomics showed the best performance (ACC, 89.2%; SEN, 92.0%; SPE, 88.9%; and AUC, 0.950 [95% confidence interval: 0.908–0.993, P < 0.001]) in the test set. In comparison with the clinicians, the fusion model showed higher sensitivity (92.0 vs. 72.0% and 60.0%) but lower specificity (88.9 vs. 97.5% and 98.8%). Conclusion: A fusion model combining radiomics and deep learning approaches outperformed other single-technique models and showed great potential to accurately predict cervical LNM in patients with OSCC. Clinical relevance: The fusion model can complement the preoperative identification of LNM of OSCC performed by the clinicians. [ABSTRACT FROM AUTHOR]

Background: Enhanced imaging techniques have the overwhelming advantages of being noninvasive and sensitive enough to evaluate the microcirculation of lesions, thus making them accurate in the diagnosis of hepatic lesions. Unfortunately, there is very little research on and knowledge of the imaging features of a rare cancerous condition: hepatic angiosarcoma (HA). Case summary: In this study, we retrospectively collected the data of six patients who underwent both contrast-enhanced ultrasound (CEUS) and contrast-enhanced computed tomography (CECT), and subsequently obtained a definitive histopathologic diagnosis of HA. We described the imaging appearances of HA by comparing CEUS and CECT images. Furthermore, we analyzed these imaging characteristics from the perspective of histopathology and tumorigenesis. The study included the largest number (six) of histopathologically confirmed HA patients who had received CEUS examinations to date. Conclusion: By offering readers comprehensive knowledge of contrast imaging, especially CEUS, in the diagnosis of HA, our study may reduce misdiagnosis and further improve treatment options. [ABSTRACT FROM AUTHOR]

A 28-day-old Holstein calf with astasia (i.e., right hind limb flaccid paralysis) was referred to Large Animal Veterinary Educational Center. Thoracic radiographs showed an alveolar pattern and air bronchograms indicating pneumonia, whereas skeletal radiography showed muscle atrophy of the right hind limb but no abnormalities in the coxofemoral and stifle joints. Contrastenhanced computed tomography revealed the pulmonary abscess in the right cranial pulmonary lobe and a thrombus (5 × 5 × 20 mm) in the right external iliac artery distal to the bifurcation of the abdominal aorta. These findings were confirmed via pathological examination. Streptococcus bovis/equinus complex colonies were isolated from the thrombus and pulmonary abscess. Thus, the pulmonary abscess was considered the infectious source of the thromboembolism in the right external iliac artery. Arterial thromboembolism should be included in the differential diagnoses in calves with astasia but without radiographic skeletal abnormalities. [ABSTRACT FROM AUTHOR]