Is a two-hour monitoring period sufficient and safe for patients undergoing ultrasound-guided percutaneous liver mass biopsy?: A prospective and multicenter experience.

PURPOSE: To investigate whether patients undergoing percutaneous liver mass biopsy (PLMB) can be safely discharged following a two-hour monitoring period. METHODS: A multi-center prospective analysis was conducted for 375 patients (196 males and 179 females), mean age 63 ± 12.45 years (range 37-89) who underwent PLMB between August 2023 and March 2024. Patients were monitored for 24 h, and complications were classified as minor or major. The timing of complications was categorized into three groups: within the first two hours, between the 2nd and 24th hours, and within 1 week after 24 hours. RESULTS: Minor complications occurred in 18.93% (71/375) and major complications in 2.13% (8/375). Most minor complications (80.2%, 57/71) appeared within the first two hours, 12.7% (9/71) between 2 and 24 h, and 7.1% (5/71) after 24 h. All major complications (62.5%, 5/8) except late-onset cases, occurred within the first two hours. No major complications occurred between 2 and 24 h. Late-onset major complications occurred in 37.5% (3/8) after 24 h. CONCLUSION: The two-hour monitoring period did not adversely impact patient management regarding minor complications and is safe for identifying all major complications except for late-onset ones. Extending the post-biopsy recovery period does not significantly improve patient care.

Prediction of Response of Hepatocellular Carcinoma to Radioembolization: Machine Learning Using Preprocedural Clinical Factors and MR Imaging Radiomics.

PURPOSE: To create and evaluate the ability of machine learning-based models with clinicoradiomic features to predict radiologic response after transarterial radioembolization (TARE). MATERIALS AND METHODS: 82 treatment-naïve patients (65 responders and 17 nonresponders; median age: 65 years; interquartile range: 11) who underwent selective TARE were included. Treatment responses were evaluated using the European Association for the Study of the Liver criteria at 3-month follow-up. Laboratory, clinical, and procedural information were collected. Radiomic features were extracted from pretreatment contrast-enhanced T1-weighted magnetic resonance images obtained within 3 months before TARE. Feature selection consisted of intraclass correlation, followed by Pearson correlation analysis and finally, sequential feature selection algorithm. Support vector machine, logistic regression, random forest, and LightGBM models were created with both clinicoradiomic features and clinical features alone. Performance metrics were calculated with a nested 5-fold cross-validation technique. The performances of the models were compared by Wilcoxon signed-rank and Friedman tests. RESULTS: In total, 1,128 features were extracted. The feature selection process resulted in 12 features (8 radiomic and 4 clinical features) being included in the final analysis. The area under the receiver operating characteristic curve values from the support vector machine, logistic regression, random forest, and LightGBM models were 0.94, 0.94, 0.88, and 0.92 with clinicoradiomic features and 0.82, 0.83, 0.82, and 0.83 with clinical features alone, respectively. All models exhibited significantly higher performances when radiomic features were included (P = .028, .028, .043, and .028, respectively). CONCLUSIONS: Based on clinical and imaging-based information before treatment, machine learning-based clinicoradiomic models demonstrated potential to predict response to TARE.

Diagnostic Performance of COVID-19 Reporting and Data System Classification Across Residents and Radiologists: A Retrospective Study.

OBJECTIVE: The aim of the study was to evaluate the interobserver agreement and diagnostic accuracy of COVID-19 Reporting and Data System (CO-RADS), in patients suspected COVID-19 pneumonia. METHODS: Two hundred nine nonenhanced chest computed tomography images of patients with clinically suspected COVID-19 pneumonia were included. The images were evaluated by 2 groups of observers, consisting of 2 residents-radiologists, using CO-RADS. Reverse transcriptase-polymerase chain reaction (PCR) was used as a reference standard for diagnosis in this study. Sensitivity, specificity, area under receiver operating characteristic curve (AUC), and intraobserver/interobserver agreement were calculated. RESULTS: COVID-19 Reporting and Data System was able to distinguish patients with positive PCR results from those with negative PCR results with AUC of 0.796 in the group of residents and AUC of 0.810 in the group of radiologists. There was moderate interobserver agreement between residents and radiologist with κ values of 0.54 and 0.57. CONCLUSIONS: The diagnostic performance of CO-RADS for predicting COVID-19 pneumonia showed moderate interobserver agreement between residents and radiologists.

Primary and Metastatic Liver Malignancy: Utility Low and High B Value (1600-2000) in 3 Tesla MRI.

BACKGROUND/AIMS: To determine the utility of the quantitative apparent diffusion coefficient (ADC) values at various b values, in the differentiation of malignant hepatic masses on 3.0 Tesla (T) MRI. METHODOLOGY: We evaluated 81 consecutive patients presenting with 529 malignant masses in the liver. Of those patients 27 had a primary hepatic malignancy while the other 54 patients had metastases in the liver. Quantitative ADC values of malignant hepatic masses was measured at four b values (b 400, b 800, b 1600, b 2000 mm2/s) on MR-DWI. We compared the primary and metastatic tumors within their groups and also with each other in terms of their ADC values. RESULTS: In 4 various b value measurements, the mean ADC values of the primary and metastatic hepatic masses were 1. x 10(-3), 1.06 x 10(-3), 0.87 x 10(-3), and 0.736 x 10(-3)mm2/ seconds, 1.30 x 10(-3), 1.10 x 10(-3), 0.84 x 10(-3), and 0.715 x 10(-3) mm2/seconds respectively. There was no significant difference between mean ADC values of HCCs and metastases at b 400, 800, 1600 and 2000 gradients (P > 0.05). CONCLUSIONS: The ADC values obtained at intermediate (400, 800) and high (b 1600, 2000) diffusion gradients are not helpful in differentiation between HCCs and liver metastases.

Sonographic findings of hepatobiliary fascioliasis accompanied by extrahepatic expansion and ectopic lesions.

OBJECTIVES: The aim of the study was to describe the sonographic findings of hepatobiliary fascioliasis with extrahepatic expansion and ectopic lesions. METHODS: The study included 45 patients with fascioliasis. All diagnoses were confirmed via serologic enzyme-linked immunosorbent assays. Sonographic findings in the hepatobiliary system, extrahepatic expansion, and ectopic lesions were defined. RESULTS: The most common hepatic lesions were subcapsular localized, small, confluent, multiple hypoechoic nodules with poorly defined borders. We also detected ectopic lesion in 5 patients (11.1%) and live parasites in the gallbladder and bile duct in 11 (24.4%). CONCLUSIONS: The large spectrum of entities in the differential diagnosis of hepatobiliary fascioliasis may lead to misdiagnosis and incorrect treatment. However, the diagnosis can be made when the characteristic sonographic features are seen, such as heterogeneity of the liver with multiple poorly defined hypoechoic-isoechoic lesions and multiple echogenic nonshadowing particles in the gallbladder or common bile ducts. Nonetheless, the differential diagnosis of fascioliasis versus other hepatic lesions may still be difficult. In these situations, pathologic confirmation should be performed to exclude the possibility of malignancy.

Investigation of the retrorenal colon frequency using computed tomography in patients with advanced scoliosis.

PURPOSE: The aim of this study is to investigate the frequency of retrorenal colon in patients with advanced scoliosis. MATERIALS AND METHODS: The existence of retrorenal colon was retrospectively investigated in 550 patients with vertebral scoliosis who had undergone abdominal CT scans at our institution between January 2008 and March 2012. The investigation was also carried out on a control group of 200 patients without scoliosis. RESULTS: Among the 550 patients with scoliosis, 100 patients had advanced scoliosis necessitating treatment. Among these 100 patients with advanced scoliosis, retrorenal colon was detected in a total of 25 patients (25 %). The variation was observed on the right side in eight patients (two males, six females) (8 %), on the left side in 15 patients (five males, ten females) (15 %), and bilaterally in two patients (both females) (2 %). In the control group consisting of 200 individuals, retrorenal colon was detected in seven subjects (3.5 %), among which six were on the left and one was on the right. The difference between the incidence of retrorenal colon observed in the patients with advanced scoliosis and those without scoliosis was found to be statistically significant (p < 0.001). CONCLUSION: Since the frequency of retrorenal colon in patients with advanced scoliosis is significantly higher than the control group without scoliosis, the risk of experiencing complications during renal interventions including renal biopsy is also higher. Therefore, these patients should undergo a detailed CT examination before these procedures, and renal interventions should be planned according to findings.

Is there any significance of lung cancer histology to compare the diagnostic accuracies of (18)F-FDG-PET/CT and (99m)Tc-MDP BS for the detection of bone metastases in advanced NSCLC?

AIM OF THE STUDY: Bone scintigraphy (BS) and fluorine-18 deoxyglucose positron emission tomography computed tomography ((18)F-FDG-PET/CT) are widely used for the detection of bone involvement. The optimal imaging modality for the detection of bone metastases in histological subgroups of non-small cell lung cancer (NSCLC) remains ambiguous. The aim of this study was to compare the efficacy of (18)F-FDG-PET/C and 99mTc-methylene diphosphonate ((99m)Tc-MDP) BS in the detection of bone metastases of patients in NSCLC. Specifically, we compared the diagnostic accuracies of these imaging techniques evaluating bone metastasis in histological subgroups of NSCLC. MATERIAL AND METHODS: Fifty-three patients with advanced NSCLC, who had undergone both (18)F-FDG-PET/CT and BS and were eventually diagnosed as having bone metastasis, were enrolled in this retrospective study. RESULTS: The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of (18)F-FDG-PET/CT and BS were 90.4%, 99.4%, 98.1%, 96.6%, 97.0% and 84.6%, 93.1%, 82.5%, 93.2, 90.8%, respectively. The κ statistics were calculated for (18)F-FDG-PET/CT and BS. The κ-value was 0.67 between (18)F-FDG-PET/CT and BS in all patients. On the other hand, the κ-value was 0.65 in adenocarcinoma, and 0.61 in squamous cell carcinoma between (18)F-FDG-PET/CT and BS. The κ-values suggested excellent agreement between all patients and histological subgroups of NSCLC. CONCLUSIONS: (18)F-FDG-PET/CT was more favorable than BS in the screening of metastatic bone lesions, but the trend did not reach statistical significance in all patients and histological subgroups of NSCLC. Our results need to be validated in prospective and larger study clinical trials to further clarify this topic.

The distribution of stylohyoid chain anatomic variations by age groups and gender: an analysis using MDCT.

The aim of this study is to investigate the frequency of the SHC variations, and the distribution of the SP lengths in different age and sex groups using MDCT. MDCT scans were performed in 805 patients (401 males, 404 females). The patients were divided into six groups according to their ages. The length of the styloid process (SP) and its angulation on the transverse (TA) and sagittal (SA) planes were measured. Structural variations of the SHC were observed by means of three-dimensional (3D) and multiplanar reconstruction (MPR) images. Absence of the styloid process (n = 10), double proximal origin (n = 13), segmentation (n = 223), complete ossification (n = 24), and an SP with three proximal parts in one patient were among the anomalies detected. The mean length of the SP was greater in males than in females (33.2 ± 13.2 vs. 29.6 ± 10.5 mm, P < 0.001). Elongated SP (ESP) was observed in 56 % of the patients in the study group, and this ratio was the highest in Group 3 with 65.4 % (P < 0.05). TA and SA were 70.2° ± 4.1°, 69.9° ± 4.2° and 86.6° ± 6.5°, 88.3° ± 6.6° for the right and left sides, respectively. Besides, 3D and MPR images also present detailed and reliable data to radiologists and surgeons for the evaluation of the SHC. ESP has been detected in more than half of the patients, being more frequent in males and in individuals in the fifth decade of life. For an accurate diagnosis, clinicians should consider the ESP while evaluating the patients in this age group.

Echogenic splenic lesions in a child with type B Niemann-Pick disease.

We report the case of a 15-year-old boy with Niemann-Pick disease type B with characteristic sonographic findings of splenic involvement. There were multiple well-defined echogenic nodular lesions within the spleen parenchyma, and these lesions were surrounded by ring-like blood flow on color Doppler imaging. Most of the patients with Niemann-Pick disease type B are children and they undergo repeated imaging studies. Therefore, familiarity with sonographic findings of the disease is required.

Relation between electrophysiological findings and diffusion weighted magnetic resonance imaging in ulnar neuropathy at the elbow.

AIM: As only a limited number of studies have used diffusion-weighted imaging (DWI) and conventional magnetic resonance imaging (MRI) in patients with ulnar neuropathy at the elbow (UNE), the present study aimed to investigate the diagnostic value of the non-invasive DWI technique in patients with UNE. METHODS: A total of 26 elbows in 19 healthy controls (age range: 22-56 years) with no symptoms and 24 elbows in 21 symptomatic patients (age range: 21-46 years) with cubital tunnel syndrome underwent DWI. The electrophysiological and clinical criteria for the diagnosis of UNE were examined. RESULTS: No pathological signal from the ulnar nerve was detected in the healthy controls, whereas there was an increase in signals on DWI in all patients with UNE. On T2-weighted (T2W) imaging, there was increased signal intensity in 20 elbows, while low signal intensity was observed in the remaining four. A positive correlation was found between disease duration and presence of hyperintensity (P=0.044, r=0.42) on T2W images. CONCLUSION: DWI can be used together with electrophysiological methods for the diagnosis of UNE. Furthermore, DWI might be preferred in some cases, as it is non-invasive compared with the electrophysiological method for UNE diagnosis.

Display with 64-detector MDCT angiography of cerebral vascular variations.

PURPOSE: The aim of this study was to assess the cerebral variations and observe their frequency in the patients who have undergone angiographies with the state of the art 64-slice multidetector computed tomography (MDCT) angiography technique due to various reasons. METHODS: 500 patients (253 women, 247 men) who had CT scan in the period of April 2008 to March 2010 at Dicle University Medicine Faculty Hospital Radiology Unit were surveyed in this study. Patients who had CT scan with brain CT angio protocol were evaluated using multiplanar, maximum intensity projection (MIP) and volume rendering (VR) images in work station. RESULTS: 773 variations were totally detected among 500 patients. Variations were categorized as Willis polygon, fenestration and other variations. Frequent variations were detected at Willis polygon and posterior communicating artery (PCOA) hypoplasia was detected as the prevalent variation. CONCLUSIONS: In the present study, we have demonstrated that cerebral vascular variations are frequent and that these variations can be detected in a non-invasive manner using the MDCT angiography. The results obtained from our study may serve as preoperative guidelines for the units performing surgical procedures.

3-T MRI of the biliary tract variations.

PURPOSE: The gallbladder and the biliary tract are structures in close connection with the adjacent organs and may show a number of variations and anomalies. It is therefore important for surgical purposes to know their anatomy and variations in detail. Various methods are used in the imaging of the variations of the biliary tract and its pathologies, including ultrasonography, computed tomography; direct cholangiographic methods like endoscopic retrograde cholangiopancreatography, percutaneous transhepatic cholangiography, intravenous cholangiography and T-tube cholangiography, as well as indirect methods like magnetic resonance cholangiopancreatography (MRCP) or cholescintigraphy. The aim of this study is to investigate the frequency of the anatomic variations of the biliary tract using 3-T MRCP and to compare the findings with the data in the literature. MATERIALS AND METHODS: For the purposes of this study, patients who underwent MRCP at our hospital (Dicle University Hospital) between November 2009 and February 2012 were investigated retrospectively. A total of 590 patients (between 6 and 88 years of age; mean age: 51 ± 9 years) were included in the study. The MRCP imaging was carried out with an magnetic resonance imaging (MRI) device supplied with 3-T magnetic power and by obtaining T2-weighted images through the single-shot fast spin echo technique using the standard body coil. The axial and coronal source images and the reformatted images were evaluated together in terms of the possible anatomic variations. RESULTS: Among the 590 patients included in the study, of 233 (39.5 %) showed anatomic variations at different levels in the intra- and extrahepatic biliary tracts. Among these variations, a right posterior hepatic duct insertion to the left hepatic duct at the level of the bifurcation has been observed in 71 patients (12.1 %), trifurcation was observed in 30 patients (5.1 %) and insertion into the main hepatic duct at the proximal aspect of the cystic duct was observed in 18 patients (3.1 %). At the level of the cystic duct, medial insertion of the cystic duct was viewed in 58 patients (9.8 %), distal medial insertion was seen in 40 patients (6.8 %), a short cystic duct was detected in 10 patients (1.7 %), pancreatobiliary junction anomaly was viewed in two patients (0.4 %) and duplicate anatomic variations have been observed in 42 patients (7.2 %). CONCLUSION: MRCP studies conducted using 3-T MRI devices may reveal similar or greater numbers of variations when compared to the existing MRCP studies in the literature. 3-T MRI shows a couple of variations. Pointing out these anatomical variations before the surgical intervention may prevent possible iatrogenic traumas. Donors with unsuitable variations for liver transplant may be spotted out at an early phase through the MRCP and certain operations with a high morbidity rate may thus be avoided.

An incidental case of biliary fascioliasis with subtle clinical findings: US and MRCP findings.

BACKGROUND: Fascioliasis is a disease caused by the trematode Fasciola hepatica. Cholangitis is a common clinical manifestation. Although fascioliasis may show various radiological and clinical features, cases without biliary dilatation are rare. CASE REPORT: We present unique ultrasound (US) and magnetic resonance cholangiopancreatography (MRCP) findings of a biliary fascioliasis case which doesn't have biliary obstruction or cholestasis. Radiologically, curvilinear parasites compatible with juvenile and mature Fasciola hepatica within the gallbladder and common bile duct were found. The parasites appear as bright echogenic structures with no acoustic shadow on US and hypo-intense curvilinear lesions on T2 weighted MRCP images. CONCLUSIONS: Imaging studies may significantly contribute to the diagnosis of patients with subtle clinical and laboratory findings, particularly in endemic regions.

Machine Learning Models in Prediction of Treatment Response After Chemoembolization with MRI Clinicoradiomics Features.

PURPOSE: To evaluate machine learning models, created with radiomics and clinicoradiomics features, ability to predict local response after TACE. MATERIALS AND METHODS: 188 treatment-naïve patients (150 responders, 38 non-responders) with HCC who underwent TACE were included in this retrospective study. Laboratory, clinical and procedural information were recorded. Local response was evaluated by European Association for the Study of the Liver criteria at 3-months. Radiomics features were extracted from pretreatment pre-contrast enhanced T1 (T1WI) and late arterial-phase contrast-enhanced T1 (CE-T1) MRI images. After data augmentation, data were split into training and test sets (70/30). Intra-class correlations, Pearson's correlation coefficients were analyzed and followed by a sequential-feature-selection (SFS) algorithm for feature selection. Support-vector-machine (SVM) models were trained with radiomics and clinicoradiomics features of T1WI, CE-T1 and the combination of both datasets, respectively. Performance metrics were calculated with the test sets. Models' performances were compared with Delong's test. RESULTS: 1128 features were extracted. In feature selection, SFS algorithm selected 18, 12, 24 and 8 features in T1WI, CE-T1, combined datasets and clinical features, respectively. The SVM models area-under-curve was 0.86 and 0.88 in T1WI; 0.76, 0.71 in CE-T1 and 0.82, 0.91 in the combined dataset, with and without clinical features, respectively. The only significant change was observed after inclusion of clinical features in the combined dataset (p = 0.001). Higher WBC and neutrophil levels were significantly associated with lower treatment response in univariant analysis (p = 0.02, for both). CONCLUSION: Machine learning models created with clinical and MRI radiomics features, may have promise in predicting local response after TACE. LEVEL OF EVIDENCE: Level 4, Case-control study.

Machine Learning Insights: Predicting Hepatic Encephalopathy After TIPS Placement.

PURPOSE: To develop and assess machine learning (ML) models' ability to predict post-procedural hepatic encephalopathy (HE) following transjugular intrahepatic portosystemic shunt (TIPS) placement. MATERIALS AND METHODS: In this retrospective study, 327 patients who underwent TIPS for hepatic cirrhosis between 2005 and 2019 were analyzed. Thirty features (8 clinical, 10 laboratory, 12 procedural) were collected, and HE development regardless of severity was recorded one month follow-up. Univariate statistical analysis was performed with numeric and categoric data, as appropriate. Feature selection is used with a sequential feature selection model with fivefold cross-validation (CV). Three ML models were developed using support vector machine (SVM), logistic regression (LR) and CatBoost, algorithms. Performances were evaluated with nested fivefold-CV technique. RESULTS: Post-procedural HE was observed in 105 (32%) patients. Patients with variceal bleeding (p = 0.008) and high post-porto-systemic pressure gradient (p = 0.004) had a significantly increased likelihood of developing HE. Also, patients having only one indication of bleeding or ascites were significantly unlikely to develop HE as well as Budd-Chiari disease (p = 0.03). The feature selection algorithm selected 7 features. Accuracy ratios for the SVM, LR and CatBoost, models were 74%, 75%, and 73%, with area under the curve (AUC) values of 0.82, 0.83, and 0.83, respectively. CONCLUSION: ML models can aid identifying patients at risk of developing HE after TIPS placement, providing an additional tool for patient selection and management.

Prediction of carcinogenic human papillomavirus types in cervical cancer from multiparametric magnetic resonance images with machine learning-based radiomics models.

PURPOSE: This study aimed to evaluate the potential of machine learning-based models for predicting carcinogenic human papillomavirus (HPV) oncogene types using radiomics features from magnetic resonance imaging (MRI). METHODS: Pre-treatment MRI images of patients with cervical cancer were collected retrospectively. An HPV DNA oncogene analysis was performed based on cervical biopsy specimens. Radiomics features were extracted from contrast-enhanced T1-weighted images (CE-T1) and T2-weighted images (T2WI). A third feature subset was created as a combined group by concatenating the CE-T1 and T2WI subsets. Feature selection was performed using Pearson's correlation coefficient and wrapper- based sequential-feature selection. Two models were built with each feature subset, using support vector machine (SVM) and logistic regression (LR) classifiers. The models were validated using a five-fold cross-validation technique and compared using Wilcoxon's signed rank and Friedman's tests. RESULTS: Forty-one patients were enrolled in the study (26 were positive for carcinogenic HPV oncogenes, and 15 were negative). A total of 851 features were extracted from each imaging sequence. After feature selection, 5, 17, and 20 features remained in the CE-T1, T2WI, and combined groups, respectively. The SVM models showed 83%, 95%, and 95% accuracy scores, and the LR models revealed 83%, 81%, and 92.5% accuracy scores in the CE-T1, T2WI, and combined groups, respectively. The SVM algorithm performed better than the LR algorithm in the T2WI feature subset (P = 0.005), and the feature sets in the T2WI and the combined group performed better than CE-T1 in the SVM model (P = 0.033 and 0.006, respectively). The combined group feature subset performed better than T2WI in the LR model (P = 0.023). CONCLUSION: Machine learning-based radiomics models based on pre-treatment MRI can detect carcinogenic HPV status with discriminative accuracy.

Visceral to subcutaneous fat ratio predicts short-term mortality in patients with Covid 19. A multicenter study.

OBJECTIVE: To evaluate the association of body composition parameters with outcomes in Covid-19. METHODS: 173 patients hospitalized for Covid-19 infection in 6 European centers were included in this retrospective study. Measurements were performed at L3-level and comprised skeletal muscle index (SMI), muscle density (MD), and adipose tissue measurements [visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), intramuscular adipose tissue (IMAT), visceral-to-subcutaneous-adipose-tissue-area-ratio (VSR)]. The association with mortality, the need for intubation (MV), and the need for admission to ICU within 30 days were evaluated. RESULTS: Higher SAT density was associated with a greater risk of MV (OR = 1.071, 95%CI=(1.034;1.110), p < 0.001). Higher VAT density was associated with admission to ICU (OR = 1.068, 95%CI=(1.029;1.109), p < 0.001). Higher MD was a protective factor for MV and ICU admission (OR = 0.914, 95%CI=(0.870;0.960), p < 0.001; OR = 0.882, 95%CI=(0.832;0.934), p = 0.028). Higher VSR was associated with mortality (OR = 2.147, 95%CI=(1.022;4.512), p = 0.044). Male sex showed the strongest influence on the risk of ICU admission and MV. SMI was not associated with either parameter. CONCLUSION: In patients hospitalized for Covid-19 infection, higher VSR seems to be a strong prognostic factor of short-term mortality. Weak associations with clinical course were found for MD and adipose tissue measurements. Male sex was the strongest prognostic factor of adverse clinical course. ADVANCES IN KNOWLEDGE: VSR is a prognostic biomarker for 30-day mortality in patients hospitalized for Covid-19 disease.

Variations of renal artery in 820 patients using 64-detector CT-angiography.

PURPOSE: Renal artery variations are important for clinical reasons. The aim of this study is to determine the originating level and variations of renal arteries with 64-channel multidetector computed tomography (MDCT). MATERIALS AND METHODS: In a university hospital, 820 patients who underwent MDCT angiography of the abdominal aorta were retrospectively evaluated. The number, early division (ED), and originating level of renal artery were evaluated retrospectively. Variations of the renal artery on both sides, the difference between the genders with variations of the renal artery, were compared with chi-square test. RESULTS: Renal artery originating from the level of L1-L2 intervertebral disc was found in 37.0% and 38.9% of patients on the right and left sides, respectively. Renal artery variations, including extrarenal artery (ERA), were found in 27% and ED in 26.7% of the patients. Significant differences were found in ED and ERA prevalence for genders (p = 0.006 and p = 0.043, respectively). The prevalence of both variations is higher in males. CONCLUSIONS: An awareness of renal vascular variations is very important for both surgeons and radiologists. In this series, renal arterial variations were found in approximately one-fourth of the study population.

Course anomalies of extracranial internal carotid artery and their relationship with pharyngeal wall: an evaluation with multislice CT.

PURPOSE: The goal of our study was to measure the prevalence of anomalies in the extracranial segment of internal carotid artery (ICA), to measure the carotid-pharyngeal distance (CPD). METHODS: Computed tomography (CT) angiography images of 607 patients were retrospectively examined. The course anomaly and CPD were obtained at different image plane. The patients were divided into four groups according to their age. RESULTS: The incidence of course anomaly in ICA was shown to be 60.3 %. Prevalence of course anomaly showed an increase with age (p < 0.001). Women had more ICAs with a course anomaly than men (p < 0.001). Mean CPD among all ICAs was found to be 11.13 mm. When CPD values were compared between the groups, group 1 and group 2 did not have a significant difference, however, there was a significant difference between other groups (p < 0.05). The CPD significantly decreased with age (p < 0.001). In ICAs that showed a straight course, the mean CPD was 13.0 mm, while in ICAs that showed course anomaly, the mean CPD was determined to be 9.49, showing a significant difference (p < 0.05). CONCLUSION: In conclusion, the number of ICAs that show a course anomaly increases with age, while the CPD decreases. The CPD is decreased in groups that show anomalies. The detection of a decreased CPD before surgery may lower the chance of a perioperative hemorrhage due to artery damage during pharyngeal procedures. Hence, while reporting neck CT angiographies, it may be valuable to also report the presence of ICA anomalies and CPD.

Classification of retinoblastoma-1 gene mutation with machine learning-based models in bladder cancer.

Purpose: This study aims to evaluate the potential of machine learning algorithms built with radiomics features from computed tomography urography (CTU) images that classify RB1 gene mutation status in bladder cancer. Method: The study enrolled CTU images of 18 patients with and 54 without RB1 mutation from a public database. Image and data preprocessing were performed after data augmentation. Feature selection steps were consisted of filter and wrapper methods. Pearson's correlation analysis was the filter, and a wrapper-based sequential feature selection algorithm was the wrapper. Models with XGBoost, Random Forest (RF), and k-Nearest Neighbors (kNN) algorithms were developed. Performance metrics of the models were calculated. Models' performances were compared by using Friedman's test. Results: 8 features were selected from 851 total extracted features. Accuracy, sensitivity, specificity, precision, recall, F1 measure and AUC were 84%, 80%, 88%, 86%, 80%, 0.83 and 0.84, for XGBoost; 72%, 80%, 65%, 67%, 80%, 0.73 and 0.72 for RF; 66%, 53%, 76%, 67%, 53%, 0.60 and 0.65 for kNN, respectively. XGBoost model had outperformed kNN model in Friedman's test (p = 0.006). Conclusions: Machine learning algorithms with radiomics features from CTU images show promising results in classifying bladder cancer by RB1 mutation status non-invasively.