Polish journal of radiology最新文献

Photon-counting detector computed tomography (PCD-CT) devices have recently been introduced into practice, despite photon-counting detector technology having been studied for many years. PCD-CT devices are expected to provide advantages in dose reduction, tissue specificity, artifact-free imaging, and multi-contrast demonstration capacity. Noise reduction and increased spatial resolution are expected using PCD-CT, even under challenging scanning conditions. Some experimental or preliminary studies support this hypothesis. This pictorial review illustrates the features of PCD-CT systems, particularly in the interventional field. PCD-CT offers superior image quality and better lesion discrimination than conventional CT techniques for various conditions. PCD-CT shows significant improvements in many aspects of vascular imaging. It is still in its early stages, and several challenges have been identified. Also, PCD-CT devices have some important caveats. The average cost of these devices is 3 to 4 times higher than conventional CT units. This additional cost must be justified by improved clinical benefits or reduced clinical harms. Further investigations will be needed to resolve these issues.

Introduction: Modern imaging techniques such as computed tomography (CT) can help in the assessment of coronary sinus volume in a vitro manner, but there is no comprehensive research on this topic so far. Hence, we decided to develop a methodology for measuring the volume of the coronary sinus in multi-detector CT and to try to apply it in practice.

Material and methods: Forty-nine patients (22 men) were included in this research, with a mean age of 70.08 ± 13.6 years. Scanning with retrospective ECG-gating was performed using a Toshiba Aquilion 64 (slice: 0.5 mm; helical pitch: 12.8; rotation time: 0.4 s). 80 ± 20 cm³ of non-ionic contrast was administered to each patient. The volume of coronary sinus and other data measurements were performed using Vitrea 2 workstations. The organ volume measurement function was used to measure volume objects in CT scans. To standardise the measurements, they were all performed to the place where the vein of Marshall reaches the coronary sinus. In cases of loss of vein of Marshall, the first lateral vein was used as the junction between the coronary sinus and the great cardiac vein.

Results: The coronary sinus volume varied from 0.96 cm³ to 8.52 cm³. The average volume was 3.71 ± 1.64 cm³. There was a significant correlation between end diastolic volume and coronary sinus volume (r = 0.33, p = 0.02). In most cases the quality of visualisation was good - the average was calculated as 4.16 ± 0.87. The Thebesian valve was present in 22 cases (44.9%); however, no statistical relationship between the presence of the Thebesian valve and coronary sinus was observed.

Conclusion: It is possible to visualise and calculate the volume of the coronary sinus in cardiac CT.

Purpose: The aim of this study was to evaluate the diagnostic accuracy of an artificial intelligence (AI) tool in detecting endoleaks in patients undergoing endovascular aneurysm repair (EVAR) using dual-energy computed tomography angiography (CTA).

Material and methods: The study involved 95 patients who underwent EVAR and subsequent CTA follow-up. Dualenergy scans were performed, and images were reconstructed as linearly blended (LB) and 40 keV virtual monoenergetic (VMI) images. The AI tool PRAEVAorta^®2 was used to assess arterial phase images for endoleaks. Two experienced readers independently evaluated the same images, and their consensus served as the reference standard. Key metrics, including accuracy, precision, recall, F1 score, and area under the receiver operating characteristic (ROC) curve (AUC), were calculated.

Results: The final analysis included 94 patients. The AI tool demonstrated an accuracy of 78.7%, precision of 67.6%, recall of 10 71.9%, F1 score of 69.7%, and an AUC of 0.77 using LB images. However, the tool failed to process 40 keV VMI images correctly, limiting further analysis of these datasets.

Conclusions: The AI tool showed moderate diagnostic accuracy in detecting endoleaks using LB images but failed to achieve the reliability needed for clinical use due to the significant number of misdiagnoses.

The objective was to assess the diagnostic accuracy of microvascular flow imaging ultrasound (MVUS) for the detection of endoleak after endovascular aortic aneurysm repair. A systematic search of the literature published until January 2024 was performed according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses of Diagnostic Test Accuracy (PRISMA-DTA) guidelines. The pooled rates of sensitivity, specificity, and diagnostic odds ratio of MVUS in endoleak detection with computed tomography angiography as the reference standard were estimated using univariate random-effect analysis with 95% confidence intervals. Three studies were considered eligible for inclusion. Superb micro-vascular imaging (SMI) was used as an MVUS technique in all cases. The total number of paired scans was 209. Sensitivity and specificity of the individual studies ranged 0.75-1.00 and 0.93-1.00, respectively. Pooled sensitivity and specificity of the SMI method was 0.91 (CI: 0.82-0.96) and 0.98 (CI: 0.94-1.00), respectively. The pooled diagnostic odds ratio was 635 (95% CI: 128-3140). The findings of the present study support the use of the MVUS for endoleak detection. However, further research is warranted to explore the broader application of MVUS, providing a more comprehensive understanding and establishing robust criteria for its role in clinical practice.

Purpose: So far, there have been published several meta-analyses which focused on hepatocellular carcinoma (HCC) detection with hepatobiliary phase (HBP) contrast agents. However, only a few of them aimed at establishing whether there is any added value of the HBP itself for HCC diagnosis. To answer the question, we performed a systematic literature search with the time limit going back to 2010.

Material and methods: True positive, false positive, false negative, and true negative values with and without the HBP were extracted from the included studies. Pooled sensitivities and specificities with and without the HBP were calculated and summary receiver operating characteristics curves were drawn to assess the diagnostic performance of the studies with and without the HBP.

Results: A total of 13 studies were included involving 1184 HCC lesions. In 13 studies without the HBP, the pooled sensitivity, specificity, and area under the curve (AUC) were 0.83, 0.89 and 0.94 respectively. In 13 studies with the HBP, the pooled sensitivity, specificity and AUC were 0.91, 0.85 and 0.98 respectively.

Conclusions: We found no statistically significant differences in sensitivities between studies with and without the HBP (p = 0.1651).

Purpose: The purpose of this study was a retrospective cross-sectional study of the Polish subpopulation, performed to evaluate the quality of endodontic treatment (ET) and the condition of the periapical tissues of permanent teeth based on cone-beam computed tomography (CBCT) images.

Material and methods: The retrospective study included a group of patients who underwent CBCT at the University Dental Clinic of the Pomeranian Medical University in Szczecin. An endodontically treated tooth index (ETTI) was used to evaluate ET. Once apical periodontitis was recognised, the size, extent, and ratio of adjacent anatomical structures were assessed using the complex periapical index (COPI).

Results: Analysis of the CBCT images showed that ET was performed in 9.9% of the teeth examined, of which 52.7% of the canals were treated correctly, while 28.1% of the root canals were found to be underfilled, 6.8% were overfilled, 9.3% of the root canals were not obturated at all, and in 3.1% of the teeth examined, the filling material was only visible in the pulp chamber. Apical periodontitis was observed in 6% of all teeth examined, while the percentage of teeth following ET was 38.5%.

Conclusions: The quality of the ET provided to the Polish subpopulation is unsatisfactory. Lack of root canal filling homogeneity is a significant risk factor for ET failure. Improper ET and poor quality of crown restoration after ET have an impact on the increased risk of occurrence, size, degree of root coverage, and extent of inflammatory periapical lesions in relation to adjacent anatomical structures.

The intricate development and physiological dynamics of the mammary glands, orchestrated by a delicate interplay of hormones, are crucial for reproductive function and lactation. Beginning with intrauterine clusters evolving into mature glands, hormonal fluctuations throughout puberty and the menstrual cycle finely tune mammary tissue growth. Oestrogens stimulate the proliferation of epithelial cells, while progesterone orchestrates the formation of lactiferous glands. During pregnancy, oestrogen and progesterone induces hyperplasia of lobules and ducts, preparing the breast for lactation. Prolactin is vital for lactation and stimulates milk production during pregnancy and postpartum. As shown by ultrasonography, physiological changes during lactation reflect glandular tissue transformation for milk secretion. Clinical and physiological changes, including increased blood flow, contribute to mammary growth and firmness, complicating clinical examination. Ultrasonographic findings reveal variability in women's glandular and fat tissue distribution, suggesting that milk production is not solely determined by anatomical factors. Though not directly linked to milk production, blood flow dynamics hint at a threshold for optimal lactation. Understanding these complex hormonal and physiological mechanisms is crucial for comprehending mammary development, function, and clinical assessment.

Purpose: To evaluate the extent to which magnetic resonance spectroscopy (MRS) lipid metabolites are accurate in predicting high-grade cervical cancer.

Material and methods: This prospective single-centre pilot study included 20 cases with pathologically proven cervical cancer. They underwent pelvic magnetic resonance imaging (MRI) with MRS. Two radiologists, blinded to the histopathological results, with 10 years of experience in gynaecological imaging, independently analysed the MRI images and MRS curves, and a third one resolved any disagreement. Using the histopathological results as a standard test, the receiver operating characteristics (ROC) curve was utilised to calculate the optimal lipid peak (1.3 ppm) cutoff for predicting high-grade cervical cancer. The difference in MRS metabolites between low- and high-grade cervical cancer groups was estimated using the Mann-Whitney test.

Results: The study included 11 high-grade and nine low-grade cervical cancer cases based on the histopathological evaluation. A lipid (1.3 ppm) peak of 29.9 was the optimal cutoff for predicting high-grade cervical cancer with 100% sensitivity, 77.8%, specificity, and 90% accuracy. Moreover, there was a significant difference between low- and high-grade cervical cancer cases concerning lipid peak at 0.9 ppm, lipid peak at 1.3 ppm, and the peak of choline with (p-value 0.025, 0.001, and 0.023), respectively.

Conclusions: MRS might be considered a useful imaging technique for assessing the grade of cervical cancer and improving the planning of treatment. It shows a good diagnostic accuracy. Therefore, it can be adopted in clinical practice for better patient outcome.

Purpose: To detect foot ulcers in diabetic patients by analysing thermal images of the foot using a deep learning model and estimate the effectiveness of the proposed model by comparing it with some existing studies.

Material and methods: Open-source thermal images were used for the study. The dataset consists of two types of images of the feet of diabetic patients: normal and abnormal foot images. The dataset contains 1055 total images; among these, 543 are normal foot images, and the others are images of abnormal feet of the patient. The study's dataset was converted into a new and pre-processed dataset by applying canny edge detection and watershed segmentation. This pre-processed dataset was then balanced and enlarged using data augmentation, and after that, for prediction, a deep learning model was applied for the diagnosis of an ulcer in the foot. After applying canny edge detection and segmentation, the pre-processed dataset can enhance the model's performance for correct predictions and reduce the computational cost.

Results: Our proposed model, utilizing ResNet50 and EfficientNetB0, was tested on both the original dataset and the pre-processed dataset after applying edge detection and segmentation. The results were highly promising, with ResNet50 achieving 89% and 89.1% accuracy for the two datasets, respectively, and EfficientNetB0 surpassing this with 96.1% and 99.4% accuracy for the two datasets, respectively.

Conclusions: Our study offers a practical solution for foot ulcer detection, particularly in situations where expert analysis is not readily available. The efficacy of our models was tested using real images, and they outperformed other available models, demonstrating their potential for real-world application.

Purpose: To compare the diagnostic performance of virtual monoenergetic imaging (VMI), computed tomography (CT), and magnetic resonance imaging (MRI) in patients with endometrial cancer (EC).

Material and methods: This retrospective study analysed 45 EC patients (mean age: 62 years, range: 44-84 years) undergoing contrast-enhanced CT with dual-energy CT (DECT) and MRI between September 2021 and October 2022. Dual-energy CT generated conventional CT (C-CT) and 40 keV VMI. Quantitative analysis compared contrast-to-noise ratio (CNR) of tumour to myometrium between C-CT and VMI. Qualitative assessment by 5 radiologists compared C-CT, VMI, and MRI for myometrial invasion (MI), cervical invasion, and lymph node metastasis. Sensitivity, specificity, accuracy, and area under the receiver operating characteristic curve (AUC) were calculated and compared for each diagnostic parameter.

Results: Virtual monoenergetic imaging showed significantly higher CNR than C-CT (p < 0.001) and a higher sensitivity for MI than C-CT (p = 0.027) and MRI (p = 0.011) but lower specificity than MRI (p = 0.018). C-CT had a higher sensitivity and AUC for cervical invasion than MRI (p = 0.018 and 0.004, respectively).

Conclusions: The study found no significant superiority of MRI over CT across all diagnostic parameters. VMI demonstrated heightened sensitivity for MI, and C-CT showed greater sensitivity and AUC for cervical invasion than MRI. This suggests that combining VMI with C-CT holds promise as a comprehensive preoperative staging tool for EC when MRI cannot be performed.