Polish journal of radiology最新文献

{"title":"Reply to \"Neurocysticercosis: unwinding the radiological conundrum\" by Goddu Govindappa SK <i>et al</i>.","authors":"Venkatraman Indiran","doi":"10.5114/pjr/200627","DOIUrl":"https://doi.org/10.5114/pjr/200627","url":null,"abstract":"","PeriodicalId":94174,"journal":{"name":"Polish journal of radiology","volume":"90 ","pages":"e138-e139"},"PeriodicalIF":0.0,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12049154/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144030244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An adaptive convolution neural network model for tuberculosis detection and diagnosis using semantic segmentation.","authors":"Sayali Abhijeet Salkade, Sheetal Vikram Rathi","doi":"10.5114/pjr/200628","DOIUrl":"https://doi.org/10.5114/pjr/200628","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Purpose: &lt;/strong&gt;Tuberculosis (TB) continues to be a major cause of death from infectious diseases globally. TB is treatable with antibiotics, but it is often misdiagnosed or left untreated, particularly in rural and resource-constrained regions. While chest X-rays are a key tool in TB diagnosis, their effectiveness is hindered by the variability in radiological presentations and the lack of trained radiologists in high-prevalence areas. Deep learning-based imaging techniques offer a promising approach to computer-aided diagnosis for TB, enabling precise and timely detection while alleviating the burden on healthcare professionals. This study aims to enhance TB detection in chest X-ray images by developing deep learning models. We have observed upper and lower lobe consolidation, pleural effusion, calcification, cavity formation and military nodules. A proposed preprocessing technique has been also introduced in our work based on gamma correction and gradient based technique for contrast enhancement. We leverage the Res-UNet architecture for image segmentation and introduce a novel deep learning network for classification, targeting improved accuracy and precision in diagnostic performance.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Material and methods: &lt;/strong&gt;A Res-UNet segmentation model was trained using 704 chest X-ray images sourced from the Montgomery County and Shenzhen Hospital datasets. Following training, the model was applied to segment lung regions in 1400 chest X-ray scans, encompassing both TB cases and normal controls, obtained from the National Institute of Allergy and Infectious Diseases (NIAID) TB Portal program dataset. The segmented lung regions were subsequently classified as either TB or normal using a deep learning model. A gradient based technique was used for contrast enhancement by capturing intensity changes in image by comparing each pixel with its neighbour with pyramid reduction unique mapping and histogram matching along with gamma correction is used. This integrated approach of segmentation and classification aims to enhance the accuracy and precision of TB detection in chest X-ray images. Classification of segmented images was done using customised convolutional neural network, and visualisation was done using Grad-CAM.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;The Res-UNet model demonstrated excellent performance for segmentation, achieving an accuracy of 98.18%, recall of 98.40%, precision of 97.45%, F1-score of 97.97%, Dice coefficient of 96.33%, and Jaccard index of 96.05%. Similarly, the classification model exhibited outstanding results, with a classification accuracy of 99.45%, precision of 99.29%, recall of 99.29%, F1-score of 99.29%, and an AUC of 99.9%. Enhanced gradient based method showed ambe of 16.51, entropy of 6.7370, CII of 86.80, psnr of 28.71, ssim of 86.83 which are quite satisfactory.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;The findings demonstrate the efficiency of our system in diagnosing TB from chest X-rays, potentia","PeriodicalId":94174,"journal":{"name":"Polish journal of radiology","volume":"90 ","pages":"e124-e137"},"PeriodicalIF":0.0,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12049158/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143995825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A nomogram model for predicting lymph node metastasis of rectal cancer by combining preoperative magnetic resonance imaging signs and tumour markers.","authors":"Meihai Xu, Zheng Wang, Xiu-Feng Qiao, Hai Liao, Dan-Ke Su","doi":"10.5114/pjr/200612","DOIUrl":"https://doi.org/10.5114/pjr/200612","url":null,"abstract":"<p><strong>Purpose: </strong>This study aimed to explore the diagnostic value of high-resolution magnetic resonance images and tumour markers in predicting lymph node metastasis of rectal cancer.</p><p><strong>Material and methods: </strong>The clinical, imaging, and pathological data of patients with suspected rectal cancer were collected. The baseline data, and surgical and pathological characteristics were compared between the lymph node metastasis group and no metastasis group. Univariate and multivariate logistic regression were used to analyse the clinical and pathological factors, and preoperative magnetic resonance imaging (MRI) signs of extramural vascular invasion and rectal cancer lymph node metastasis. A nomogram model was established with statistically significant factors.</p><p><strong>Results: </strong>150 patients were included. Among them, 50 (33.3%) presented with vascular tumour thrombus, and 72 (48.0%) had lymph node metastasis. The detection of regional lymph nodes (DWI-LN) was an independent risk factor for lymph node metastasis. The area under curve of the nomogram model was 0.804.</p><p><strong>Conclusion: </strong>Preoperative serum CA19.9, and the relationship between tumour and peritoneal reflection in preoperative MRI and DWI-LN have clinical value in predicting lymph node metastasis in patients with rectal cancer.</p>","PeriodicalId":94174,"journal":{"name":"Polish journal of radiology","volume":"90 ","pages":"e114-e123"},"PeriodicalIF":0.0,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12049155/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144056438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diffusion imaging in gliomas: how ADC values forecast glioma genetics.","authors":"Paulina Śledzińska-Bebyn, Jacek Furtak, Marek Bebyn, Alicja Bartoszewska-Kubiak, Zbigniew Serafin","doi":"10.5114/pjr/200967","DOIUrl":"10.5114/pjr/200967","url":null,"abstract":"<p><strong>Purpose: </strong>This study investigates the relationship between diffusion-weighted imaging (DWI) and mean apparent diffusion coefficient (ADC) values in predicting the genetic and molecular features of gliomas. The goal is to enhance non-invasive diagnostic methods and support personalised treatment strategies by clarifying the association between imaging biomarkers and tumour genotypes.</p><p><strong>Material and methods: </strong>A total of 91 glioma patients treated between August 2023 and March 2024 were included in the analysis. All patients underwent preoperative magnetic resonance imaging (MRI), including DWI, and had available histopathological and genetic test results. Clinical data, tumour characteristics, and genetic markers such as <i>IDH1</i> mutation, <i>MGMT</i> promoter methylation, <i>EGFR</i> amplification, <i>TERT</i> pathogenic variant, and <i>CDKN2A</i> deletion were collected. Statistical analysis was performed to identify correlations between ADC values, MRI perfusion parameters, and genetic characteristics.</p><p><strong>Results: </strong>Significant associations were found between lower ADC values and aggressive tumour features, including <i>IDH1</i>-wildtype, <i>MGMT</i> unmethylated status, <i>TERT</i> pathogenic variant, and <i>EGFR</i> amplification. Additionally, distinct ADC patterns were observed in gliomas with <i>CDKN2A</i>, <i>TP53</i>, and <i>PTEN</i> gene deletions. These findings were further supported by contrast enhancement and other MRI parameters, indicating their role in tumour characterisation.</p><p><strong>Conclusions: </strong>DWI and ADC measurements demonstrate strong potential as non-invasive tools for predicting glioma genetics. These imaging biomarkers can aid in tumour characterisation and provide valuable insights for guiding personalised treatment strategies.</p>","PeriodicalId":94174,"journal":{"name":"Polish journal of radiology","volume":"90 ","pages":"e103-e113"},"PeriodicalIF":0.0,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11973703/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143805227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diagnostic value of the standardised uptake value (SUV) ratio of mediastinal lymph node to primary tumour in lung cancer.","authors":"Błażej Kużdżał, Adam Kużdżał, Karolina Gambuś, Adam Ćmiel, Konrad Moszczyński, Sofiia Popovchenko, Monika Bryndza, Lucyna Rudnicka, Katarzyna Żanowska, Łukasz Trybalski, Janusz Warmus, Piotr Kocoń","doi":"10.5114/pjr/200009","DOIUrl":"10.5114/pjr/200009","url":null,"abstract":"<p><strong>Purpose: </strong>This study aimed to determine whether the mediastinal lymph node/tumour ratio (NTR) of the standardised uptake value (SUV) predicts N2 involvement more accurately than node SUV in patients with non-small cell lung cancer (NSCLC).</p><p><strong>Material and methods: </strong>We retrospectively analysed consecutive patients with lung cancer at clinical stages I-IVA. All patients underwent positron emission tomography-computed tomography (PET-CT), followed by mediastinal staging using endobronchial ultrasound and endoscopic ultrasound imaging, and curative-intent lung resection with systematic lymph node dissection. Pathological examination of the surgical specimen was performed for confirmation.</p><p><strong>Results: </strong>The data from 774 patients were analysed. There was a significant correlation between the risk of false-negative PET results for N2 disease and both the SUV of the mediastinal nodes (<i>p</i> = 0.012) and NTR (<i>p</i> = 0.030). The NTR outperformed node SUV in predictive ability; the Akaike information criterion was 307.268 for NTR compared to 308.498 for node SUV. Three factors were significantly associated with the positive predictive value of PET: patient age (<i>p</i> = 0.021), female sex (<i>p</i> = 0.012), and adenocarcinoma histology (<i>p</i> = 0.036). There were no significant correlations between PET sensitivity, specificity, and negative predictive value (NPV), and age, sex, body mass index (BMI), tumour grade, lobar location, or histological type.</p><p><strong>Conclusions: </strong>The NTR may be a useful tool for excluding N2 disease in NSCLC. PET sensitivity and NPV for detecting N2 disease are not influenced by age, sex, BMI, tumour grade, lobar location, or histological type.</p>","PeriodicalId":94174,"journal":{"name":"Polish journal of radiology","volume":"90 ","pages":"e97-e102"},"PeriodicalIF":0.0,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11973702/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143805224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The reproductive system and breast metastases - a narrative review and case series of metastases from soft tissue and bone sarcomas in girls.","authors":"Paulina Sobieraj, Katarzyna Bilska, Monika Bekiesinska-Figatowska","doi":"10.5114/pjr/200008","DOIUrl":"10.5114/pjr/200008","url":null,"abstract":"<p><p>Four cases of girls with metastases of soft tissue or bone sarcomas to the reproductive system or breasts are reported. Two patients had metastases to the breast from rhabdomyosarcoma (RMS) of the limbs, one had metastases to the ovary from RMS of the foot, and one had metastases to the uterine venous plexus from chondrosarcoma of the sacrum. In each case, the appearance of metastases was shown in various imaging methods: ultrasound, magnetic resonance imaging, and computed tomography. A thorough literature review confirmed that only a few cases of soft tissue and bone sarcoma metastasis to the locations of primary interest of this article in girls have been described, especially in the context of reproductive organs. Despite the rare occurrence of this type of metastases, the malignant tumours mentioned above should be considered when differentiating the source. These rare clinical situations are woven into a review of malignant neoplasms' metastases to the reproductive organs and breast.</p>","PeriodicalId":94174,"journal":{"name":"Polish journal of radiology","volume":"90 ","pages":"e84-e96"},"PeriodicalIF":0.0,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11973706/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143805245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Transthoracic ultrasound as an assessment tool for pleural effusion, pleural adhesion, and pleural thickening in patients undergoing thoracoscopy.","authors":"Charu Smita Thakur, Yugal Kumar Sharma Thakur, Sushma Makhaik, Ashwani Tomar, Rs Negi, Shruti Thakur","doi":"10.5114/pjr/199775","DOIUrl":"10.5114/pjr/199775","url":null,"abstract":"<p><strong>Purpose: </strong>The purpose of this study was to evaluate the use of the transthoracic ultrasonography (US) for pleural adhesions and pleural thickening and to quantify pleural effusion by standardised sonographic techniques and its comparison with thoracoscopic findings. An assessment of the association between pleural thickness and pleural nodularity with histopathological examination findings was also attempted.</p><p><strong>Material and methods: </strong>Thirty-one patients with suspected chest pathologies were initially assessed by transthoracic US followed by videothoracospy. Findings observed were noted and appropriately analysed statistically.</p><p><strong>Results: </strong>Transthoracic US is 100% sensitive and specific for detecting pleural septations in the presence of pleural effusion with 100% accuracy. Gliding sign is a highly sensitive and specific sign to detect the pleural septations in absence of pleural effusion. There was no significant association of thickness of pleural septation with the pleural malignancy.</p><p><strong>Conclusions: </strong>Transthoracic US plays an important role in the quantification of pleural effusion, assessment of the pleura and pleural space for pleural adhesion, pleural thickening, and guiding trocar insertion.</p>","PeriodicalId":94174,"journal":{"name":"Polish journal of radiology","volume":"90 ","pages":"e74-e83"},"PeriodicalIF":0.0,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11973705/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143805248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predictive intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) parameters in the staging of fibrosis in hepatitis B patients.","authors":"Sevde Nur Emir, Fatma Kulali, Ilkay Tosun, Yasar Bukte","doi":"10.5114/pjr/199686","DOIUrl":"10.5114/pjr/199686","url":null,"abstract":"<p><strong>Purpose: </strong>Our aim was to evaluate the diagnostic efficacy of intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) parameters [<i>D</i>, <i>D*</i>, <i>f</i>, and apparent diffusion coefficient (ADC) values] in the detection and staging of liver fibrosis in patients with hepatitis B virus (HBV).</p><p><strong>Material and methods: </strong>In this prospective study, a patient group of 64 consecutive patients (with a mean age of 43 years, 30 women and 34 men) with HBV, who scheduled liver biopsy, and a control group of 30 healthy individuals without liver disease underwent IVIM-DWI scan. A total of 94 IVIM-DWI examinations were analysed. IVIM-DWI parameters were measured in the right lobe of the liver. The IVIM-DWI parameters of the patient and control groups were compared by Mann-Whitney <i>U</i> test. The patient group was classified into subgroups according to fibrosis stage of histopathological results. Receiver operating characteristic (ROC) analysis was conducted to assess the sensitivity and specificity of each parameter for detection and staging fibrosis.</p><p><strong>Results: </strong><i>D</i> and ADC values were significantly lower in the patient group compared to the control group (<i>p</i> < 0.05), while <i>D*</i> values were significantly higher (<i>p</i> < 0.05). No significant difference was observed in <i>f</i> values between the 2 groups. <i>D*</i> had the highest diagnostic performance, with a sensitivity of 78.1% and specificity of 73.3%, with a cut-off value of 1.4 × 10^-3 mm²/s in the differentiation of fibrosis stages.</p><p><strong>Conclusions: </strong>IVIM-DWI, particularly the <i>D</i>, <i>D*</i>, and ADC parameters, is an adjunctive non-invasive alternative to biopsy in the staging of HBV-related liver fibrosis, especially for the prediction of advanced fibrosis.</p>","PeriodicalId":94174,"journal":{"name":"Polish journal of radiology","volume":"90 ","pages":"e66-e73"},"PeriodicalIF":0.0,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11973707/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143805241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative analysis of diagnostic performance of automatic breast ultrasound and spectral mammography as complementary methods to mammography examination.","authors":"Marta Pawlak, Wojciech Rudnicki, Tadeusz Popiela, Lukasz Brandt, Malgorzata Dobrowolska, Milena Lipinska, Elżbieta Łuczyńska","doi":"10.5114/pjr/199755","DOIUrl":"10.5114/pjr/199755","url":null,"abstract":"<p><strong>Purpose: </strong>This single-centre study includes a comparative analysis of the diagnostic performance of contrast-enhanced mammography (CEM) and automatic breast ultrasound (ABUS). The study involved 81 patients with focal breast lesions, who underwent ABUS, full-field digital mammography (FFDM), and CEM.</p><p><strong>Material and methods: </strong>A total of 169 focal lesions were found in 81 patients, of which 110 lesions were histopathologically verified, 92 were malignant, 5 were B3 lesions, and 13 were benign. On CEM 19 additional lesions not visible on other imaging examinations were found, and as many as 36 new lesions were detected on ABUS. The number of lesions detected in patients with multiple lesions were 106 from 169 on ABUS, 65 on FFDM, and 88 on CEM. The highest correlation between the lesion's margin and its histopathological character was found in FFDM (<i>p</i> < 0.00), then ABUS (<i>p</i> = 0.038), and the lowest in CEM (<i>p</i> = 0.043). Compliance in determining the lesions' size comparing to histopathology as a gold standard was the highest for ABUS (<i>p</i> = 0.258) and lower for CEM (<i>p</i> = 0.012).</p><p><strong>Results: </strong>The sensitivity of ABUS, FFDM, and CEM was, respectively: 80.43, 90.22, and 93.48; specificity: 27.78, 11.11, and 11.11; positive predictive value (PPV): 85.06, 83.84, and 84.31; negative predictive value (NPV): 21.74, 18.18, and 25; and accuracy: 71.82, 77.27, and 80. The sensitivity and accuracy of the combination of FFDM and ABUS were, respectively, 100 (<i>p</i> = 0.02) and 84.55 (AUC = 0.947) and for the combination of FFDM + CEM 93.48 (<i>p</i> = 0.25) and 79.09 (AUC = 0.855).</p><p><strong>Conclusions: </strong>The study confirms that both ABUS and CEM may serve as a valuable complementary method for FFDM.</p>","PeriodicalId":94174,"journal":{"name":"Polish journal of radiology","volume":"90 ","pages":"e55-e65"},"PeriodicalIF":0.0,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11973704/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143805221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Split cord malformation - a simple, current classification based on CT and MRI neuroimaging studies.","authors":"Jadwiga Kleinrok, Krzysztof Kleinrok, Tadeusz Jan Popiela","doi":"10.5114/pjr/199683","DOIUrl":"10.5114/pjr/199683","url":null,"abstract":"<p><p>The aim of this paper is to present the currently used classification of split cord malformation. Split cord malformation (SCM) is a developmental defect arising during neurulation, resulting in abnormal neural tube development, with the formation of a division within the spinal cord and dural sac. The terms diastematomyelia and diplomyelia are used in the literature to describe this defect. In 1992, Pang proposed the term SCM to describe all dysraphic spinal cord defects and classified them into type I and type II, depending on the nature of the sagittal septum within the spinal canal and the presence or absence of a divided dural sac. SCM type I includes cases with a bony septum and a divided dural sac, while SCM type II includes cases without a divided dural sac but with a fibrous septum present. Depending on the type of defect, and the location and extent of the split, the condition is accompanied by neurological symptoms of varying localisation and severity. As symptoms may worsen with the child's growth, surgical intervention to remove the septum is usually necessary. In this article, the authors present the defect based on literature data, describe the current terminology regarding the defect and associated anomalies, and present a set of features that should be assessed to classify lesions.</p>","PeriodicalId":94174,"journal":{"name":"Polish journal of radiology","volume":"90 ","pages":"e46-e54"},"PeriodicalIF":0.0,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11891551/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143607534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}