Acta radiologica最新文献

Background: Dynamic susceptibility contrast-enhanced magnetic resonance imaging (DSC-MRI) can reflect the angiogenesis of ischemic stroke.

Purpose: To investigate the value of DSC-MRI with ultrasmall superparamagnetic particles of iron oxides (USPIO) in evaluating angiogenesis in the peri-infarction zones in subacute ischemic stroke in a permanent middle cerebral artery occlusion (pMCAO) rat model.

Material and methods: A total of 21 Sprague-Dawley rats were randomly divided into the pMCAO and sham operation groups. Every rat in each group underwent DSC-MRI with USPIO at 3, 5, and 7 days. DSC-MRI parameters of the relative cerebral blood volume (rCBV), relative cerebral blood flow (rCBF), relative mean transit time (rMTT), and relative time to peak (rTTP) were measured, calculated, and compared among the different times. Sequential correlations were analyzed among the histopathological indexes with the microvascular density (MVD) and percentage of vascular area (%VA), the serum factors with vascular endothelial growth factor (VEGF), vascular cell adhesion molecule 1 (VCAM-1), and perfusion parameters, respectively.

Results: The rCBV and rCBF in the peri-infarction area of pMCAO rats were significantly higher on day 7 than on day 3, whereas no significant changes in rMTT and rTTP were observed at 3, 5, and 7 days. Significantly positive correlations were found between rCBV and MVD, %VA, VEGF, VCAM-1, between rCBF and MVD, %VA, VEGF, and VCAM-1 at 3, 5, and 7 days in the pMCAO group.

Conclusion: The rCBV and rCBF deriving from USPIO-DSC may be potentially useful for evaluating the angiogenesis of the peri-infarction zones in the subacute phase of ischemic stroke.

Background: Acute pulmonary embolism (PE) is a disease with a serious prognosis and a high probability of death in the emergency department.

Purpose: To investigate the prediction of PE-related mortality and intensive care admission (ICU) of Qanadli (Qscore), Bova, and simplified Pulmonary Embolism Severity Index (sPESI) scores.

Material and methods: This retrospective observational study consisted of all patients diagnosed with acute PE who were imaged under computed tomography pulmonary angiography (CTPA) for a total of 5 years between 1 June 2018 and 1 June 2023. The prediction of radiological and clinical scores for mortality and ICU admission was examined.

Results: A total of 95 patients were analyzed. Patients who died and those who were admitted to the ICU had a significantly higher frequency of being found to have a high-risk (≥1) sPESI score (P = 0.04 and P = 0.016, respectively). For mortality, the sPESI score was found to be significant; the sensitivity and specificity were observed as 54% and 66% (area under the curve [AUC]=0.670, 95% confidence interval [CI]=0.527-0.814; P = 0.020). For ICU admission, the sensitivity and specificity of the Qscore, sPESI, and Bova scores were 35%, 77%, and 58%, and 78%, 65%, and 84% respectively (AUC=0.626, 95% CI=0.511-0.740, P = 0.031; AUC=0.769, 95% CI=0.674-0.865, P < 0.001; and AUC=0.767, 95% CI=0.671-0.862, P < 0.001, respectively).

Conclusion: It was found that the sPESI score was effective at predicting mortality in patients with acute PE. Qscore, sPESI, and Bova scores have been shown to be useful in predicting ICU admission.

Background: The reliability and diagnostic accuracy of commonly used diagnostic imaging modalities in the classification of lumbosacral transitional vertebrae (LSTV) are poorly known, and comparative studies are scarce.

Purpose: To compare the diagnostic performance of conventional radiography (CR), computed tomography (CT), and magnetic resonance imaging (MRI) in classifying LSTVs.

Material and methods: In this retrospective cross-sectional study, a total of 852 patients undergoing lumbar imaging studies using all three modalities were initially assessed for the presence of LSTV using CT scans. In total, 100 patients with LSTV anatomy were identified. Four readers performed blinded and independent evaluations of these 100 patients on each modality, and an experienced fellowship-trained radiologist performed a gold standard read using all three modalities. Inter-reader reliability metrics were analyzed in comparison to the gold standard. Statistical software R (4.2.1) was used for the analyses.

Results: We found superior diagnostic efficacy for CT: the sensitivity, specificity, accuracy, and balanced accuracy were 76%, 93%, 77%, and 84%, respectively. For MRI, the metrics were 54%, 88%, 56%, and 68%, and for CR 32%, 85%, 42%, and 59%, respectively. Inter-reader reliability was found to be good for CT (κ = 0.63-0.71) and fair for both CR (κ = 0.16-0.32) and MRI (κ = 0.24-0.56).

Conclusion: CT had the highest diagnostic performance in all measured metrics with good inter-reader reliability. MRI and CR showed fairly poor sensitivity and accuracy, and thus consideration should be used when classifying LSTVs with these two modalities.

Background: Low-keV virtual monoenergetic images (VMIs) of dual-energy computed tomography (CT) enhances iodine contrast for detecting small arteries like the Adamkiewicz artery (AKA), but image noise can be problematic. Deep-learning image reconstruction (DLIR) effectively reduces noise without sacrificing image quality.

Purpose: To evaluate whether DLIR on low-keV VMIs of dual-energy CT scans improves the visualization of the AKA.

Material and methods: We enrolled 29 patients who underwent CT angiography before aortic repair. VMIs obtained at 70 and 40 keV were reconstructed using hybrid iterative reconstruction (HIR), and 40 keV VMIs were reconstructed using DLIR. The image noise of the spinal cord, the maximum CT values of the anterior spinal artery (ASA), and the contrast-to-noise ratio (CNR) of the ASA were compared. The overall image quality and the delineation of the AKA were evaluated on a 4-point score (1 = poor, 4 = excellent).

Results: The mean image noise of the spinal cord was significantly lower on 40-keV DLIR than on 40-keV HIR scans; they were significantly higher than on 70-keV HIR images. The CNR of the ASA was highest on the 40-keV DLIR images among the three reconstruction images. The mean image quality scores for 40-keV DLIR and 70-keV HIR scans were comparable, and higher than of 40-keV HIR images. The mean delineation scores for 40-keV HIR and 40-keV DLIR scans were significantly higher than for 70-keV HIR images.

Conclusion: Visualization of the AKA was significantly better on low-keV VMIs subjected to DLIR than conventional HIR images.

Background: Shoulder ultrasonography (US) is commonly employed to differentiate the causes of shoulder pain. However, the correlation between ultrasonographic findings and the individual's functional disability and daily activities remains unexplored.

Purpose: To investigate the relationship between shoulder US findings and physical function, disability, and pain.

Material and methods: The study investigated patients with shoulder pain. Tendons of supraspinatus, infraspinatus, subscapularis, and long head of biceps brachii, acromiohumeral distance, and acromioclavicular joint (ACJ) degeneration were evaluated using US. The QuickDASH questionnaire was employed to evaluate physical function, symptoms, and disability, while the visual analog scale (VAS) was utilized to assess pain levels.

Results: The study included 84 patients (69 [82.1%] women, mean age = 55.7 ± 11.9 years). Ultrasonographic examination revealed ACJ degeneration in 61 (21.4%) patients and biceps tendinitis in 21 (25%) patients. In addition, supraspinatus tendinosis was identified in 51 (61%) patients, while 28 (33%) exhibited a supraspinatus tear. The patients demonstrated a mean VAS score of 7.03 ± 1.49 and mean QuickDASH score of 45.6 ± 15.3. Individuals with a supraspinatus tear exhibited higher VAS (P = 0.008) and QuickDASH (P = 0.016) scores. Patients presenting with ACJ degeneration demonstrated increased VAS scores (P = 0.014), whereas those with biceps tendinopathy showed higher QuickDASH scores (P = 0.035).

Conclusion: The results obtained from our research demonstrate significant correlations between ultrasonographic data and pain, disability, and physical manifestations. The findings of this study indicate that shoulder US provides valuable information regarding the difficulties individuals face in their daily tasks and the degree of pain they endure.

Background: Rapid and accurate measurement of computed tomography (CT) image noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) is a clinical challenge.

Purpose: To explore the feasibility of intelligent measurement of chest CT image noise, SNR, and CNR.

Material and methods: A total of 300 chest CT scans were included in the study, which was divided into research dataset, internal test dataset, and external test dataset. Based on the research dataset, automatically segment and measure the average CT values and standard deviation (SD) of CT values for background air and lung field under different thresholds to obtain noise, SNR, and CNR results. Using the results of manual measurements as the reference standard, we determine the optimal threshold with the highest consistency. Using internal and external test datasets, validate the consistency of automated measurements of noise, SNR, and CNR at the optimal CT threshold with reference standards.

Results: With background air set at -900 HU and lung field at -800 HU as thresholds, the automated measurements of noise, SNR, and CNR demonstrate the highest consistency with the reference standards. At the optimal threshold, the noise, SNR, and CNR measured automatically on both the internal (intraclass correlation coefficient [ICC] = 0.85-0.96) and external (ICC = 0.75-0.85) test datasets exhibit high consistency with their respective reference standards.

Conclusion: The method we explored can intelligently measure the noise, SNR, and CNR of chest CT images, exhibits high consistency with radiologists, and offers a novel tool for image quality evaluation and analysis.

Background: Breast cancer in pediatric patients is rare, but ultrasound (US) is widely utilized for symptomatic cases.

Purpose: To determine biopsy and cancer detection rates of pediatric patients and to assess if breast US can be omitted.

Material and methods: A retrospective review of a 5-year period was conducted of single-center breast US performed in patients aged <19 years. Data regarding presentation, clinical opinion (P1-5 score), and US (U1-5 score) were collected. If biopsy or surgery was performed, pathology was reviewed (B1-5 score).

Results: In total, 579 patients were included (19 boys, 560 girls; mean age=16.2±1.9 years; age range=0-18 years). Clinical examination was normal or benign (P1/P2) in all boys (100%) and 557/560 (99.5%) girls, and P3 in 3 (0.5%) girls. Of US, 52% demonstrated normal findings (U1) for both sexes (300/579); in the remaining cases, the most frequent findings were gynecomastia in 12/19 boys and well-defined breast masses in 208/560 girls. Of the 560 girls, 6 (1%) underwent US-guided biopsy, with final histology of fibroadenoma (B2) in all cases, while 27 (5%) had a surgical excision, with final histology of fibroadenoma (22/27, 81.5%), hamartoma (2/27, 7.4%), benign phyllodes tumor (2/27, 7.4%), and angiomyxoma skin lesion (1/27, 3.7%). No malignant lesions were diagnosed at the time of clinical referral or during the 18-month follow-up in patients with a well-defined mass on US.

Conclusion: Breast malignancy is extremely rare in pediatric population. US can be safely omitted if clinical examination is normal; this approach would have avoided breast US in 52% of patients in this study.

Background: High-resolution computed tomography (HRCT) is dependent on detailed morphology in diagnostic assessment of interstitial lung diseases. Photon-counting CT (PCCT) enables improved resolution while reducing radiation.

Purpose: To compare if the image quality, detailed morphology, and radiation dose in HRCT of the lung improves with PCCT compared to energy-integrated CT (EICT).

Material and methods: HRCT with PCCT in patients with body mass index (BMI) from normal to obese, previously examined with different EICT were included. They were evaluated in a five-step scale for image quality according to Quality Criteria for CT (Diagnostic Requirement of the ImPACT group-European standardization). In addition, ground-glass opacities, bronchiectasis, emphysema, nodules, and subpleural detailed morphology (≤1 cm from the pleural border) were evaluated by three independent thoracic and/or pediatric radiologists. Visual grading characteristics (VGC) were used for comparison of image quality and detailed morphology and Fleiss kappa for intra-observer variability. Dose-length product (DLP) and CT dose index-volume (CTDI_vol) were collected to calculate effective radiation dose.

Results: HRCT with PCCT in 52 women and 48 men (mean age=67.2 ± 13.6 years; age range=27-87 years; BMI=26.9 kg/m²; range=18.6-45 kg/m²) previously examined with EICT (mean age=65.3 ± 13.6 years; age range=27-85 years; BMI=27 kg/m²; range=18.9-45 kg/m²) were included. There were significant differences in image quality for all entities in favor of PCCT. The radiation dose was reduced with PCCT by 47% in all, particularly pronounced in obese with 48.5%.

Conclusion: Image quality, detailed morphology, and radiation dose, particularly in obese patients, were significantly improved in HRCT with PCCT compared to conventional EICT. The new technique enables visualization of subpleural structures.

Background: The status of axillary lymph nodes (ALN) plays a critical role in the management of patients with breast cancer. It is an urgent demand to develop highly accurate, non-invasive methods for predicting ALN status.

Purpose: To evaluate the efficacy of ultrasound radiofrequency (URF) time-series parameters, in combination with clinical data, in predicting ALN metastasis in patients with breast cancer.

Material and methods: We prospectively gathered clinicopathologic and ultrasonic data from patients diagnosed with breast cancer. Various machine-learning (ML) models were developed using all available features to determine the most efficient diagnostic model. Subsequently, distinct prediction models were created using the optimal ML model, and their diagnostic performances were evaluated and compared.

Results: The study encompassed 240 patients, of whom 88 had lymph node metastases. A leave-one-out cross-validation (LOOCV) method was used to split the entire dataset into training and testing subsets. The random forest ML model outperformed the other algorithms, with an area under the curve (AUC) of 0.92. Prediction models based on clinical, ultrasonic, URF parameters, clinical + ultrasonic, clinical + URF, and ultrasonic + URF parameters had AUCs of 0.56, 0.79, 0.78, 0.90, 0.80, and 0.84, respectively, in the testing set. The comprehensive diagnostic model (clinical + ultrasonic + URF parameters) demonstrated strong diagnostic capability, with an AUC of 0.94 in the testing set, exceeding any single prediction model.

Conclusion: The combined model (clinical + ultrasonic + URF parameters) could be used preoperatively to predict lymph node status, offering valuable input for the design of individualized surgical approaches.

Background: Extracellular free water (FW) has important roles in the occurrence and development of white matter hyperintensity (WMH).

Purpose: To explore the correlations between FW and WMH burden.

Material and methods: A prospective analysis was conducted using magnetic resonance imaging (MRI) data from 126 individuals. WMH burden was determined based on WMH volumes and Fazekas scores from deep and periventricular white matter hyperintensity (DWMH and PWMH, respectively) in fluid-attenuated inversion recovery (FLAIR) images. FW values were taken from diffusion tensor imaging (DTI).

Results: Univariate analysis showed that FW values were correlated with WMH burden, including WMH volumes and DWMH and PWMH Fazekas scores (P < 0.05). After multivariate analysis, FW values were correlated with WMH volumes and DWMH and PWMH Fazekas scores when adjusted for age and hypertension (P < 0.05).

Conclusion: Using MRI, increasing extracellular FW was related to WMH burden.