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Introduction Dynamic contrast-enhanced computed tomography (DCE-CT) and conventional contrast-enhanced computed tomography (CE-CT) are widely used to evaluate neck lesions, including lymph node metastases, thyroid nodules, salivary gland tumors, and other soft tissue masses. DCE-CT, which captures multiple phases of contrast enhancement over time, is hypothesized to provide superior diagnostic accuracy compared to the single-phase images obtained by CE-CT due to its ability to offer dynamic information about tissue perfusion, blood volume, and vascular permeability. Methods This retrospective observational diagnostic study included 100 patients who underwent neck imaging, divided equally into DCE-CT and CE-CT groups. Patient demographics (age, gender, body mass index) and lesion characteristics (type, location, size, enhancement pattern, margins) were recorded. Diagnostic performance metrics (sensitivity, specificity, accuracy, positive predictive value, negative predictive value) were evaluated alongside inter-observer variability using the kappa statistic. Clinical impact was assessed based on changes in treatment plans and improvements in patient outcomes. The radiation dose for each modality was documented. Statistical analysis was performed using SPSS software (IBM SPSS Statistics for Windows, IBM Corp., Armonk, NY) with chi-square tests for categorical variables and t-tests for continuous variables. Results The study included 58 males and 42 females with a mean age of 55.5 years. A total of 145 lesions were detected: 75 by DCE-CT and 70 by CE-CT. DCE-CT demonstrated higher sensitivity (93.33%) and specificity (96.00%) compared to CE-CT (sensitivity 86.67%, specificity 92.00%). The accuracy of DCE-CT was 94.00% versus 88.00% for CE-CT. Inter-observer agreement was higher for DCE-CT (kappa = 0.85) compared to CE-CT (kappa = 0.80). DCE-CT led to treatment plan changes in 40% of cases and resulted in a 75% improvement in outcomes compared to 25% and 60%, respectively, for CE-CT. The mean radiation dose was slightly higher for DCE-CT (8.5 mSv) compared to CE-CT (7.0 mSv). Conclusion DCE-CT offers superior diagnostic efficacy compared to CE-CT for imaging neck lesions with enhanced sensitivity, specificity, and accuracy. Its ability to capture multiple phases of contrast enhancement allows for detailed lesion characterization and provides crucial quantitative data on tissue perfusion and blood volume. These benefits lead to more frequent improvements in patient outcomes and changes in treatment plans. Despite the slightly higher radiation dose, the diagnostic advantages of DCE-CT outweigh the disadvantages, particularly in complex cases requiring detailed lesion analysis. Further prospective studies are recommended to validate these findings and explore the broader clinical benefits of DCE-CT.
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Fundoplication , Laparoscopy , Splenic Diseases , Torsion Abnormality , Humans , Fundoplication/adverse effects , Laparoscopy/adverse effects , Laparoscopy/methods , Torsion Abnormality/surgery , Torsion Abnormality/etiology , Torsion Abnormality/diagnosis , Splenic Diseases/surgery , Splenic Diseases/etiology , Splenic Diseases/diagnosis , Female , Male , Child , Postoperative Complications/etiology , Postoperative Complications/diagnosis , Postoperative Complications/surgery , Splenectomy/methods , Splenectomy/adverse effects , Child, Preschool , Tomography, X-Ray ComputedABSTRACT
Colorectal cancer (CRC) remains a significant global health burden, necessitating accurate staging and treatment planning for optimal patient outcomes. Lymph node involvement is a critical determinant of prognosis in CRC, emphasizing the importance of reliable imaging techniques for its evaluation. Contrast-enhanced computed tomography (CECT) has emerged as a cornerstone in CRC imaging, offering high-resolution anatomical detail and vascular assessment. This comprehensive review synthesizes the existing literature to evaluate the diagnostic impact of CECT in assessing lymph node involvement in CRC. Key findings highlight CECT's high sensitivity and specificity in detecting lymph node metastases, facilitating accurate staging and treatment selection. However, challenges such as limited resolution for small lymph nodes and potential false-positives call for a cautious interpretation. Recommendations for clinical practice suggest the integration of CECT into multidisciplinary treatment algorithms, optimizing imaging protocols and enhancing collaboration between radiologists and clinicians. Future research directions include refining imaging protocols, comparative effectiveness studies with emerging modalities, and prospective validation of CECT's prognostic value. Overall, this review stresses the pivotal role of CECT in CRC management and identifies avenues for further advancements in imaging-guided oncology care.
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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.
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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.
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OBJECTIVES: 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.
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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.
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OBJECTIVES: to predict liver injury in acute pancreatitis (AP) patients by establishing a radiomics model based on contrast-enhanced computed tomography (CECT). METHODS: a total of 1223 radiomic features were extracted from late arterial-phase pancreatic CECT images of 209 AP patients (146 in the training cohort and 63 in the test cohort), and the optimal radiomic features retained after dimensionality reduction by least absolute shrinkage and selection operator (LASSO) were used to construct a radiomic model through logistic regression analysis. In addition, clinical features were collected to develop a clinical model, and a joint model was established by combining the best radiomic features and clinical features to evaluate the practicality and application value of the radiomic models, clinical model and combined model. RESULTS: four potential features were selected from the pancreatic parenchyma to construct the radiomic model, and the area under the receiver operating characteristic curve (AUC) of the radiomic model was significantly greater than that of the clinical model for both the training cohort (0.993 vs. 0.653, p = 0.000) and test cohort (0.910 vs. 0.574, p = 0.000). The joint model had a greater AUC than the radiomics model for both the training cohort (0.997 vs. 0.993, p = 0.357) and test cohort (0.925 vs. 0.910, p = 0.302). CONCLUSIONS: the radiomic model based on CECT has good performance in predicting liver injury in AP patients and can guide clinical decision-making and improve the prognosis of patients with AP.
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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.
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Cartilage, Articular , Finite Element Analysis , Nanoparticles , Animals , Horses , Cartilage, Articular/diagnostic imaging , Cartilage, Articular/physiology , X-Ray Microtomography , Contrast Media/chemistry , Models, BiologicalABSTRACT
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.
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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.
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Carcinoma, Hepatocellular , Contrast Media , Liver Neoplasms , Neoplasm Recurrence, Local , Tomography, X-Ray Computed , alpha-Fetoproteins , Humans , Carcinoma, Hepatocellular/surgery , Carcinoma, Hepatocellular/diagnostic imaging , Carcinoma, Hepatocellular/pathology , Liver Neoplasms/surgery , Liver Neoplasms/diagnostic imaging , Liver Neoplasms/pathology , Male , Female , alpha-Fetoproteins/metabolism , alpha-Fetoproteins/analysis , Neoplasm Recurrence, Local/diagnostic imaging , Middle Aged , Tomography, X-Ray Computed/methods , Aged , Retrospective Studies , Adult , Hepatectomy , Prognosis , RadiomicsABSTRACT
Key Clinical Message: A whirl sign on contrast-enhanced abdominal CT scan is indicative of intestine twisted around the mesenteric vessels, and is observed in cases of strangulated obstruction, signaling compromised intestinal circulation. In cases of intestinal volvulus, surgery is necessary to untwist the affected bowel, and resection is necessary if necrosis is present. Abstract: A 31-year-old Japanese man presented with acute lower abdominal pain and vomiting. Contrast-enhanced abdominal computed tomography (CT) revealed a 1440-degree clockwise torsion of superior mesenteric artery and a whirl sign. Intestinal volvulus in adulthood with a background of malrotation is extremely rare. Contrast-enhanced CT is effective for diagnosis.
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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.
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BACKGROUND: The appropriate duration of antimicrobial therapy for febrile urinary tract infection (fUTI) in children has not been established. This study examined the optimal duration of treatment for fUTI in children. METHODS: We created a protocol that used fever duration to determine the duration of antibiotic administration. Transvenous antibiotics were administered until 3 days after resolution of fever, followed by oral antibiotics for 1 week. Diagnosis of fUTI was based on a fever of 37.5°C or higher and a quantitative culture of catheterized urine yielded a bacteria count of ≥5 × 104. Acute focal bacterial nephritis (AFBN) and pyelonephritis (PN) were diagnosed on the basis of contrast-enhanced computed tomography (eCT) findings. We retrospectively reviewed treatment outcomes. RESULTS: Of the 78 patients treated according to our protocol, data from 58 were analyzed-49 children (30 boys) had PN and nine (three boys) had AFBN. Blood test results showed that patients with AFBN had significantly higher white blood cell counts and C-reactive protein levels than did those with PN; however, urinary findings and causative bacteria did not differ between groups. Time to resolution of fever and duration of intravenous antibiotic administration were significantly longer in patients with AFBN than in those with PN. However, average duration of AFBN treatment was 14.2 days, which was shorter than the previously reported administration period of 3 weeks. No recurrence was observed in AFBN patients. CONCLUSIONS: A protocol that used fever duration to determine the duration of antimicrobial treatment was useful. Invasive examinations, such as eCT, were not required.
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Anti-Bacterial Agents , Fever , Pyelonephritis , Urinary Tract Infections , Humans , Urinary Tract Infections/microbiology , Urinary Tract Infections/therapy , Urinary Tract Infections/drug therapy , Urinary Tract Infections/diagnosis , Male , Female , Fever/etiology , Fever/therapy , Anti-Bacterial Agents/administration & dosage , Anti-Bacterial Agents/therapeutic use , Retrospective Studies , Child, Preschool , Time Factors , Pyelonephritis/therapy , Pyelonephritis/microbiology , Pyelonephritis/drug therapy , Infant , Child , Treatment Outcome , Tomography, X-Ray Computed , C-Reactive Protein/analysis , Nephritis/microbiology , Nephritis/therapy , Administration, Oral , Acute Disease , Duration of Therapy , Leukocyte Count , Administration, Intravenous , Clinical ProtocolsABSTRACT
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.
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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.
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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.
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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.
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Lung Neoplasms , Lymphatic Metastasis , Small Cell Lung Carcinoma , Tomography, X-Ray Computed , Humans , Lung Neoplasms/epidemiology , Lung Neoplasms/pathology , Lung Neoplasms/diagnostic imaging , Small Cell Lung Carcinoma/diagnostic imaging , Small Cell Lung Carcinoma/epidemiology , Small Cell Lung Carcinoma/pathology , Male , Female , Middle Aged , Retrospective Studies , Aged , Lymphatic Metastasis/diagnostic imaging , Incidence , Tomography, X-Ray Computed/methods , Predictive Value of Tests , Contrast Media , Neoplasm Staging/methods , Adult , Lymph Nodes/pathology , Lymph Nodes/diagnostic imaging , Aged, 80 and over , RadiomicsABSTRACT
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. CASE SUMMARY: 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. CONCLUSION: Multi-modal imaging is effective in diagnosing SVAD, and conservative treatment is a choice for asymptomatic patients.
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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.