The differential diagnosis of pancreatic cystic neoplasms with conventional ultrasound and contrast-enhanced ultrasound
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PROVIDER: S-EPMC11250354 | biostudies-literature | 2024 May
REPOSITORIES: biostudies-literature
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Project description:ObjectiveTo establish a diagnostic model by combining imaging features with enhanced CT texture analysis to differentiate pancreatic serous cystadenomas (SCNs) from pancreatic mucinous cystadenomas (MCNs).Materials and methodsFifty-seven and 43 patients with pathology-confirmed SCNs and MCNs, respectively, from one center were analyzed and divided into a training cohort (n = 72) and an internal validation cohort (n = 28). An external validation cohort (n = 28) from another center was allocated. Demographic and radiological information were collected. The least absolute shrinkage and selection operator (LASSO) and recursive feature elimination linear support vector machine (RFE_LinearSVC) were implemented to select significant features. Multivariable logistic regression algorithms were conducted for model construction. Receiver operating characteristic (ROC) curves for the models were evaluated, and their prediction efficiency was quantified by the area under the curve (AUC), 95% confidence interval (95% CI), sensitivity and specificity.ResultsFollowing multivariable logistic regression analysis, the AUC was 0.932 and 0.887, the sensitivity was 87.5% and 90%, and the specificity was 82.4% and 84.6% with the training and validation cohorts, respectively, for the model combining radiological features and CT texture features. For the model based on radiological features alone, the AUC was 0.84 and 0.91, the sensitivity was 75% and 66.7%, and the specificity was 82.4% and 77% with the training and validation cohorts, respectively.ConclusionThis study showed that a logistic model combining radiological features and CT texture features is more effective in distinguishing SCNs from MCNs of the pancreas than a model based on radiological features alone.
| S-EPMC8733460 | biostudies-literature
Project description:BACKGROUND:Misclassifications of hepatic alveolar echinococcosis (HAE) as intrahepatic cholangiocarcinoma (ICC) may lead to inappropriate treatment strategies. The aim of this study was to explore the differential diagnosis with conventional ultrasound and contrast-enhanced ultrasound (CEUS). METHODS:Sixty HAE lesions with 60 propensity score-matched ICC lesions were retrospectively collected. The 120 lesions were randomly divided into a training set (n?=?80) and a testing set (n?=?40). In the training set, the most useful independent conventional ultrasound and CEUS features was selected for differentiating between HAE and ICC. Then, a simplified US scoring system for diagnosing HAE was constructed based on selected features with weighted coefficients. The constructed US score for HAE was validated in both the training set and the testing set, and diagnostic performance was evaluated. RESULTS:Compared with ICC lesions, HAE lesions were mostly located in the right lobe and had mixed echogenicity, a pseudocystic appearance and foci calcifications on conventional ultrasound. On CEUS, HAE lesions showed more regular rim-like enhancement than ICC lesions and had late washout with a long enhancement duration. The simplified US score consisted of echogenicity, pseudocystic/calcification, bile duct dilatation, enhancement pattern, enhancement duration, and marked washout. In the testing set, the sensitivity, specificity, LR+, LR- and the area under the ROC curve for the score to differentiate HAE from ICC were 80.0, 81.3%, 4.27, 0.25 and 0.905, respectively. CONCLUSIONS:The US score based on typical features from both conventional ultrasound and CEUS could accurately differentiate HAE from ICC.
| S-EPMC7453544 | biostudies-literature
Project description:ObjectiveTo compare the diagnostic value of contrast-enhanced ultrasonography (CEUS) with baseline ultrasound (B-US) in ureteral neoplasms.MethodsRetrospective analysis, comprising clinical presentation, image appearances, and diagnostic results on B-ultrasound and CEUS, considering pathological result as a gold-standard, was conducted on the clinical information of 39 patients with ureteral neoplasms. CT urography was used to detect and confirm the presence of ureteral neoplasms. Both B-ultrasound and CEUS investigations of those 39 patients under study were performed by a senior radiologist.ResultsPathological outcomes established 27 ureteral malignancies and 12 ureteral benignancies. Ureteral malignancies were observed to occur in older patients than benignancies (p = 0.002). Only the morphological indicator of the ureteric wall on B-ultrasound was different in ureteral malignancies and benignancies (p = 0.030). Tumors with hyperenhancement, larger width, and hyperenhanced ureteric wall were easily diagnosed as malignant on CEUS, whereas iso-/hypoenhanced, narrower, and iso-/hypoenhanced ureteric wall indicated benign tumors. Moreover, the lesion widths, enhanced morphologies of the ureteric wall, and the ureteral wall's linear boundaries on CEUS were different between high- and low-stage ureteral urothelial carcinomas (p = 0.012, 0.002, 0.001, respectively).ConclusionThe display of microvessels in ureteral neoplasms was significantly enhanced by CEUS, thus contributing to the differential diagnosis of ureteral neoplasms while assisting the staging of ureteral urothelial carcinoma.Advances in knowledgeThe imaging features of different ureteral neoplasms on CEUS were analyzed in this study. The diagnostic performances of CEUS and B-ultrasound in ureteral urothelial carcinomas were also explored.
| S-EPMC8553196 | biostudies-literature
Project description:Purpose:The purpose of our study was to evaluate the role of contrast-enhanced ultrasound (CEUS) with magnetic resonance imaging (MRI) and computed tomography (CT) in the pathological diagnosis of pancreatic cystic neoplasms (PCNs). Methods:A total of 90 patients (66 women, 24 men) aged 18-71 years were studied prospectively. CEUS was performed in all patients, whereas MRI was performed in 85 patients and CT in 69 patients. We analyzed the sensitivity and accuracy of these three imaging modalities to diagnose the PCNs. Neoplasm size, location, shape, intralesional mural nodules, septa and duct dilatation were also assessed by different radiologists. Results:There were no significant differences in sensitivity for discriminating PCNs from pancreatic cystic lesions between CEUS and MRI (p=0.614) or between CEUS and CT (p=0.479). The diagnostic accuracy of CEUS for classifying PCNs was 64.4% (58/90), which was higher than that of CT (53.6%, 37/69, P=0.017), and lower than that of MRI (70.6%, 60/85, p=0.791). Regarding tumor size for lesions larger than 3 cm, CEUS was superior to CT in differentiating the specific type of PCN (p=0.041), and CEUS had the same value as MRI (p=0.774). Furthermore, CEUS is valuable for precisely characterizing internal structures, for instance, septa (p=0.003, compared with CT; p=0.443, compared with MRI) and nodules (p= 0.018, compared with CT; p=0.033, compared with MRI). The number of septa (p=0.033) and cyst morphology (p=0.016) were meaningful indicators in differentiating serous and mucinous adenoma. There was no significant difference in evaluating size and detecting duct dilatation among the three imaging methods. Conclusion:CEUS compares favorably with MRI in displaying the inner structure of PCNs and offers advantages over CT. CEUS can contribute in an important way to the diagnosis of pancreatic cystic neoplasms.
| S-EPMC7196192 | biostudies-literature
Project description:Pancreatic cystic neoplasms (PCNs) are a group of heterogeneous diseases with distinct prognosis. Existing differential diagnosis methods require invasive biopsy or prolonged monitoring. We sought to develop an inexpensive, non-invasive differential diagnosis system for PCNs based on radiomics features and clinical characteristics for a higher total PCN screening rate. We retrospectively analyzed computed tomography images and clinical data from 129 patients with PCN, including 47 patients with intraductal papillary mucinous neoplasms (IPMNs), 49 patients with serous cystadenomas (SCNs), and 33 patients with mucinous cystic neoplasms (MCNs). Six clinical characteristics and 944 radiomics features were tested, and nine features were finally selected for model construction using DXScore algorithm. A five-fold cross-validation algorithm and a test group were applied to verify the results. In the five-fold cross-validation section, the AUC value of our model was 0.8687, and the total accuracy rate was 74.23%, wherein the accuracy rates of IPMNs, SCNs, and MCNs were 74.26%, 78.37%, and 68.00%, respectively. In the test group, the AUC value was 0.8462 and the total accuracy rate was 73.61%. In conclusion, our research constructed an end-to-end powerful PCN differential diagnosis system based on radiomics method, which could assist decision-making in clinical practice.
| S-EPMC9802410 | biostudies-literature
Project description:Pancreatic cancer is one of the most lethal cancers, largely related to the difficulties with early detection, as it typically presents in later stages. Pancreatic cystic neoplasms (PCN) are commonly diagnosed as incidental findings on routine imaging. PCN is becoming more frequently detected with the increasing ease and frequency of obtaining cross-sectional images. Certain subtypes of pancreatic cysts have the potential to progress to malignancy, and therefore, clinicians are tasked with creating a patient-centered management plan. The decision of whether to undergo surgical resection or interval surveillance can be challenging given the criteria, including PCN size, pancreatic duct dilation, presence of a mural nodule, and clinical symptoms that play a potential role in risk stratification. Furthermore, the guidelines available from the major gastrointestinal societies all differ in their management recommendations. In this review, we detail an overview of the different types of PCNs and compare major guidelines for both diagnosis and management. We include emerging evidence for next-generation sequencing as well as confocal needle endomicroscopy to aid in the diagnosis and determination of malignancy potential and diagnosis.
| S-EPMC9857870 | biostudies-literature
Project description:Transthoracic and transesophageal echocardiography detected a left atrial mass attached to the intra-atrialseptum. Intravenous contrast agent ruled out atrial thrombus, sugesting a left atrial myxoma. This highlights theimportance of contrast echocardiography for differential diagnosis of left atrial findings.
| S-EPMC10673719 | biostudies-literature
Project description:Background and study aims To assess the diagnostic value of contrast-enhanced endoscopic ultrasound (CE-EUS) for autoimmune pancreatitis and other solid pancreatic masses. Patients and methods A systematic search of PubMed, Embase, and Web of Science was performed from inception to October 2022. We calculated individual and pooled sensitivities and specificities to determine the diagnostic ability of CE-EUS. In addition, we calculated I 2 to test for heterogeneity and explored the source of heterogeneity by meta-regression analysis. Results A total of 472 patients from seven eligible studies were included. The mean sensitivity and specificity of the Bivariate analysis were 0.84 (95% CI 0.71-0.92) and 0.95 (95% CI 0.84-0.99), respectively. The diagnostic advantage ratio was 107.91 (95% confidence interval [CI] 22.22-524.13), and the area under the summary receiver operating characteristics curve was 0.91 (95% CI 0.88-0.93). The overall heterogeneity of the studies is negligible (I 2 =0, 95% CI 0-100). However, notable heterogeneity was observed in the combined specificity ( P <0.01, I 2 =74.82) and diagnostic odds ratio ( P =0.05, I 2 =51.54). The heterogeneity in these aspects could be elucidated through sensitivity analysis. Conclusions Our analysis showed that CE-EUS is useful in identifying autoimmune pancreatitis. However, further large sample size, multicenter, prospective studies are needed to demonstrate its utility.
| S-EPMC11466521 | biostudies-literature
Project description:A 43-year-old male presented to the emergency department with acute left testicular pain. Physical exam showed a tender left testicle and epididymis with mild swelling. Doppler and contrast enhanced ultrasound revealed a heterogeneous, avascular lesion with hyper vascularized surrounding. Follow-up contrast enhanced ultrasound performed a few days later showed persistence of the sparsely vascularized lesion with more hypoechoic echo structure. Despite the tumor markers being negative, a necrotic tumor could not be ruled out and a left orchiectomy was performed. Pathology report described an extensive segmental testicular infarction with no evidence of malignant tissue. We present the ultrasound and pathology findings, differential diagnostic pearls and clinical perspective of segmental testicular infarction.
| S-EPMC8515411 | biostudies-literature
Project description:BackgroundUsing serum carbohydrate antigen 19-9 (CA 19-9) in discriminating between benign and malignant pancreatic disease remains controversial. We aim to evaluate the diagnostic value of serum CA 19-9 in predicting malignant pancreatic cystic lesions.MethodsEligible studies were identified through searching MEDLINE and EMBASE prior to March 2016. Studies were assessed for quality using the Quality Assessment for Studies of Diagnostic Accuracy, 2nd version (QUADAS-2). Pooled sensitivity and specificity with 95% confidence interval (CI) were calculated using random-effects models. Summary receiver operator characteristic (SROC) curves and the area under curve (AUC) were performed.ResultsA total of thirteen studies including 1437 patients were enrolled in this meta-analysis. The pooled sensitivity and specificity were 0.47(95% CI: 0.35-0.59), and 0.88(95% CI: 0.86-0.91), respectively, and the AUC was 0.87(95% CI, 0.84-0.90). Meta-regression analysis showed that sample size, region and reference standards were not the main sources of heterogeneity.ConclusionsSerum CA 19-9 has satisfying pooled specificity while poor pooled sensitivity for discriminating benign from malignant PCNs. It deserves to be widely used as complementary to other clinical diagnostic methods.
| S-EPMC5105948 | biostudies-literature