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An adaptive convolution neural network model for tuberculosis detection and diagnosis using semantic segmentation. 基于语义分割的自适应卷积神经网络肺结核检测与诊断模型。
Pub Date : 2025-03-14 eCollection Date: 2025-01-01 DOI: 10.5114/pjr/200628
Sayali Abhijeet Salkade, Sheetal Vikram Rathi
<p><strong>Purpose: </strong>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.</p><p><strong>Material and methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>The findings demonstrate the efficiency of our system in diagnosing TB from chest X-rays, potentia
目的:结核病仍然是全球传染病致死的一个主要原因。结核病可以用抗生素治疗,但常常被误诊或未得到治疗,特别是在农村和资源有限的地区。虽然胸部x光片是结核病诊断的一项关键工具,但由于放射表现的差异和高流行地区缺乏训练有素的放射科医生,其有效性受到了阻碍。基于深度学习的成像技术为结核病的计算机辅助诊断提供了一种很有前途的方法,可以实现精确和及时的检测,同时减轻医疗保健专业人员的负担。本研究旨在通过开发深度学习模型来增强胸部x线图像中的结核病检测。我们观察到上下肺叶实变、胸腔积液、钙化、空腔形成和军事结节。本文还介绍了一种基于伽马校正和梯度的对比度增强预处理技术。我们利用Res-UNet架构进行图像分割,并引入一种新的深度学习网络进行分类,目标是提高诊断性能的准确性和精度。材料和方法:使用来自蒙哥马利县和深圳医院数据集的704张胸部x线图像训练Res-UNet分割模型。经过训练后,该模型被应用于1400个胸部x射线扫描的肺区域片段,包括结核病病例和正常对照,这些扫描来自美国国家过敏和传染病研究所(NIAID)结核病门户项目数据集。随后使用深度学习模型将分割的肺区域分类为TB或正常。使用基于梯度的技术,通过将每个像素与其相邻像素进行比较来捕获图像中的强度变化,并使用独特的映射和直方图匹配以及伽马校正来增强对比度。这种分割与分类相结合的方法旨在提高胸部x线图像结核检测的准确性和精密度。使用定制的卷积神经网络对分割后的图像进行分类,并使用Grad-CAM进行可视化。结果:Res-UNet模型的分割准确率为98.18%,召回率为98.40%,精密度为97.45%,f1评分为97.97%,Dice系数为96.33%,Jaccard指数为96.05%。同样,该分类模型的分类准确率为99.45%,准确率为99.29%,召回率为99.29%,f1得分为99.29%,AUC为99.9%。增强梯度法的ambe值为16.51,熵值为6.7370,CII值为86.80,psnr值为28.71,ssim值为86.83。结论:研究结果证明了我们的系统在胸部x光诊断结核病方面的效率,可能超过临床水平的精度。这强调了其作为诊断工具的有效性,特别是在资源有限、获得放射专业知识受限的环境中。此外,与标准的U-Net相比,改进后的Res-UNet模型表现出卓越的性能,突出了其实现更高诊断准确性的潜力。
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引用次数: 0
A nomogram model for predicting lymph node metastasis of rectal cancer by combining preoperative magnetic resonance imaging signs and tumour markers. 结合术前磁共振影像征象与肿瘤标志物预测直肠癌淋巴结转移的nomogram模型。
Pub Date : 2025-03-07 eCollection Date: 2025-01-01 DOI: 10.5114/pjr/200612
Meihai Xu, Zheng Wang, Xiu-Feng Qiao, Hai Liao, Dan-Ke Su

Purpose: 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.

Material and methods: 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.

Results: 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.

Conclusion: 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.

目的:探讨高分辨率磁共振影像及肿瘤标志物在预测直肠癌淋巴结转移中的诊断价值。材料与方法:收集疑似直肠癌患者的临床、影像学及病理资料。比较淋巴结转移组和无转移组的基线资料、手术及病理特征。采用单因素和多因素logistic回归分析临床和病理因素,以及术前磁共振成像(MRI)的外血管侵犯和直肠癌淋巴结转移征象。建立具有统计学显著因素的nomogram模型。结果:纳入150例患者。其中血管肿瘤血栓50例(33.3%),淋巴结转移72例(48.0%)。区域淋巴结检测(DWI-LN)是淋巴结转移的独立危险因素。模态图模型曲线下面积为0.804。结论:术前血清CA19.9、肿瘤与术前MRI腹膜反射的关系及DWI-LN对预测直肠癌患者淋巴结转移具有临床价值。
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引用次数: 0
Diffusion imaging in gliomas: how ADC values forecast glioma genetics. 胶质瘤的扩散成像:ADC值如何预测胶质瘤遗传学。
Pub Date : 2025-02-20 eCollection Date: 2025-01-01 DOI: 10.5114/pjr/200967
Paulina Śledzińska-Bebyn, Jacek Furtak, Marek Bebyn, Alicja Bartoszewska-Kubiak, Zbigniew Serafin

Purpose: 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.

Material and methods: 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 IDH1 mutation, MGMT promoter methylation, EGFR amplification, TERT pathogenic variant, and CDKN2A deletion were collected. Statistical analysis was performed to identify correlations between ADC values, MRI perfusion parameters, and genetic characteristics.

Results: Significant associations were found between lower ADC values and aggressive tumour features, including IDH1-wildtype, MGMT unmethylated status, TERT pathogenic variant, and EGFR amplification. Additionally, distinct ADC patterns were observed in gliomas with CDKN2A, TP53, and PTEN gene deletions. These findings were further supported by contrast enhancement and other MRI parameters, indicating their role in tumour characterisation.

Conclusions: 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.

目的:探讨扩散加权成像(DWI)与平均表观扩散系数(ADC)在预测胶质瘤遗传和分子特征中的关系。目标是通过澄清成像生物标志物和肿瘤基因型之间的关联,增强非侵入性诊断方法,支持个性化治疗策略。材料和方法:共有91例胶质瘤患者在2023年8月至2024年3月期间接受了治疗。所有患者术前均行磁共振成像(MRI),包括DWI,并有可用的组织病理学和基因检测结果。收集临床资料、肿瘤特征、IDH1突变、MGMT启动子甲基化、EGFR扩增、TERT致病变异、CDKN2A缺失等遗传标记。通过统计分析确定ADC值、MRI灌注参数和遗传特征之间的相关性。结果:低ADC值与侵袭性肿瘤特征之间存在显著关联,包括idh1野生型、MGMT未甲基化状态、TERT致病性变异和EGFR扩增。此外,在CDKN2A、TP53和PTEN基因缺失的胶质瘤中观察到不同的ADC模式。这些发现进一步得到了对比增强和其他MRI参数的支持,表明它们在肿瘤特征中的作用。结论:DWI和ADC测量显示了作为预测胶质瘤遗传学的非侵入性工具的强大潜力。这些成像生物标志物可以帮助肿瘤表征,并为指导个性化治疗策略提供有价值的见解。
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引用次数: 0
Diagnostic value of the standardised uptake value (SUV) ratio of mediastinal lymph node to primary tumour in lung cancer. 肺癌纵隔淋巴结与原发肿瘤的标准化摄取值比值的诊断价值。
Pub Date : 2025-02-18 eCollection Date: 2025-01-01 DOI: 10.5114/pjr/200009
Błażej Kużdżał, Adam Kużdżał, Karolina Gambuś, Adam Ćmiel, Konrad Moszczyński, Sofiia Popovchenko, Monika Bryndza, Lucyna Rudnicka, Katarzyna Żanowska, Łukasz Trybalski, Janusz Warmus, Piotr Kocoń

Purpose: 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).

Material and methods: 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.

Results: 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 (p = 0.012) and NTR (p = 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 (p = 0.021), female sex (p = 0.012), and adenocarcinoma histology (p = 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.

Conclusions: 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.

目的:本研究旨在确定标准化摄取值(SUV)的纵隔淋巴结/肿瘤比(NTR)是否比淋巴结SUV更准确地预测非小细胞肺癌(NSCLC)患者的N2累及。材料和方法:我们回顾性分析连续I-IVA期肺癌患者。所有患者都接受了正电子发射断层扫描-计算机断层扫描(PET-CT),随后通过支气管内超声和内镜超声成像进行纵隔分期,并进行了系统性淋巴结清扫的治疗目的肺切除术。手术标本病理检查证实。结果:分析了774例患者的资料。纵隔淋巴结的SUV (p = 0.012)和NTR (p = 0.030)与N2疾病PET假阴性的风险有显著相关性。NTR的预测能力优于节点SUV;NTR的Akaike信息标准为307.268,节点SUV的Akaike信息标准为308.498。三个因素与PET阳性预测值显著相关:患者年龄(p = 0.021)、女性性别(p = 0.012)和腺癌组织学(p = 0.036)。PET敏感性、特异性和阴性预测值(NPV)与年龄、性别、体重指数(BMI)、肿瘤分级、脑叶位置或组织学类型之间没有显著相关性。结论:NTR可能是排除NSCLC N2疾病的有用工具。PET检测N2疾病的敏感性和NPV不受年龄、性别、BMI、肿瘤分级、肺叶位置或组织学类型的影响。
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引用次数: 0
The reproductive system and breast metastases - a narrative review and case series of metastases from soft tissue and bone sarcomas in girls. 生殖系统和乳房转移-女孩软组织和骨肉瘤转移的叙述回顾和病例系列。
Pub Date : 2025-02-13 eCollection Date: 2025-01-01 DOI: 10.5114/pjr/200008
Paulina Sobieraj, Katarzyna Bilska, Monika Bekiesinska-Figatowska

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.

报告了四例软组织或骨肉瘤转移到生殖系统或乳房的女孩病例。其中两名患者的四肢横纹肌肉瘤(RMS)转移至乳房,一名患者的足部横纹肌肉瘤转移至卵巢,一名患者的骶骨软骨肉瘤转移至子宫静脉丛。在每个病例中,转移灶的外观都通过不同的成像方法显示出来:超声波、磁共振成像和计算机断层扫描。全面的文献回顾证实,只有少数病例描述过女孩软组织和骨肉瘤转移到本文主要关注的部位,尤其是生殖器官。尽管这种类型的转移很少发生,但在区分来源时,仍应考虑上述恶性肿瘤。这些罕见的临床情况被编织成一篇关于恶性肿瘤转移到生殖器官和乳房的综述。
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引用次数: 0
Transthoracic ultrasound as an assessment tool for pleural effusion, pleural adhesion, and pleural thickening in patients undergoing thoracoscopy. 经胸超声作为评估胸腔镜患者胸膜积液、胸膜粘连和胸膜增厚的工具。
Pub Date : 2025-02-11 eCollection Date: 2025-01-01 DOI: 10.5114/pjr/199775
Charu Smita Thakur, Yugal Kumar Sharma Thakur, Sushma Makhaik, Ashwani Tomar, Rs Negi, Shruti Thakur

Purpose: 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.

Material and methods: Thirty-one patients with suspected chest pathologies were initially assessed by transthoracic US followed by videothoracospy. Findings observed were noted and appropriately analysed statistically.

Results: 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.

Conclusions: 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.

目的:本研究的目的是评估经胸超声(US)对胸膜粘连和胸膜增厚的应用,并通过标准化超声技术量化胸膜积液,并将其与胸腔镜检查结果进行比较。评估胸膜厚度和胸膜结节与组织病理学检查结果之间的关系也进行了尝试。材料和方法:对31例疑似胸部病变的患者进行经胸超声心动图评估,然后进行录像胸腔镜检查。观察到的结果被记录下来并进行适当的统计分析。结果:经胸超声在胸膜积液中检测胸膜间隔具有100%的敏感性和特异性,准确率为100%。滑翔征是一种高度敏感和特异的征象,可以在没有胸腔积液的情况下发现胸膜分隔。胸膜间隔厚度与胸膜恶性肿瘤无显著相关性。结论:经胸超声在定量胸膜积液、评估胸膜及胸膜间隙是否粘连、胸膜增厚、引导套管针置入等方面具有重要作用。
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引用次数: 0
Predictive intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) parameters in the staging of fibrosis in hepatitis B patients. 预测体素内非相干运动弥散加权成像(IVIM-DWI)参数在乙型肝炎患者纤维化分期中的应用
Pub Date : 2025-02-07 eCollection Date: 2025-01-01 DOI: 10.5114/pjr/199686
Sevde Nur Emir, Fatma Kulali, Ilkay Tosun, Yasar Bukte

Purpose: Our aim was to evaluate the diagnostic efficacy of intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) parameters [D, D*, f, and apparent diffusion coefficient (ADC) values] in the detection and staging of liver fibrosis in patients with hepatitis B virus (HBV).

Material and methods: 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 U 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.

Results: D and ADC values were significantly lower in the patient group compared to the control group (p < 0.05), while D* values were significantly higher (p < 0.05). No significant difference was observed in f values between the 2 groups. D* 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.

Conclusions: IVIM-DWI, particularly the D, D*, 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.

目的:评价体素内非相干运动弥散加权成像(IVIM-DWI)参数[D, D*, f和表观弥散系数(ADC)值]对乙型肝炎病毒(HBV)患者肝纤维化的检测和分期的诊断价值。材料和方法:在这项前瞻性研究中,连续64例HBV患者(平均年龄43岁,女性30例,男性34例)进行肝活检,对照组30例无肝脏疾病的健康个体进行了IVIM-DWI扫描。对94例IVIM-DWI检查结果进行分析。测量肝右叶IVIM-DWI参数。采用Mann-Whitney U检验比较患者与对照组的IVIM-DWI参数。根据组织病理学结果的纤维化分期将患者组分为亚组。进行受试者工作特征(ROC)分析,以评估检测和分期纤维化各参数的敏感性和特异性。结果:患者组D、ADC值显著低于对照组(p < 0.05), D*值显著高于对照组(p < 0.05)。两组间f值差异无统计学意义。D*具有最高的诊断效能,敏感性为78.1%,特异性为73.3%,在纤维化分期分化方面的临界值为1.4 × 10-3 mm2/s。结论:IVIM-DWI,特别是D、D*和ADC参数,在hbv相关肝纤维化分期中是一种辅助的非侵入性替代活检方法,特别是用于预测晚期纤维化。
{"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<sup>-3</sup> mm<sup>2</sup>/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}
引用次数: 0
Comparative analysis of diagnostic performance of automatic breast ultrasound and spectral mammography as complementary methods to mammography examination. 乳腺自动超声与乳腺x线造影作为乳腺x线造影检查补充方法诊断效能的比较分析。
Pub Date : 2025-02-03 eCollection Date: 2025-01-01 DOI: 10.5114/pjr/199755
Marta Pawlak, Wojciech Rudnicki, Tadeusz Popiela, Lukasz Brandt, Malgorzata Dobrowolska, Milena Lipinska, Elżbieta Łuczyńska

Purpose: 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.

Material and methods: 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 (p < 0.00), then ABUS (p = 0.038), and the lowest in CEM (p = 0.043). Compliance in determining the lesions' size comparing to histopathology as a gold standard was the highest for ABUS (p = 0.258) and lower for CEM (p = 0.012).

Results: 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 (p = 0.02) and 84.55 (AUC = 0.947) and for the combination of FFDM + CEM 93.48 (p = 0.25) and 79.09 (AUC = 0.855).

Conclusions: The study confirms that both ABUS and CEM may serve as a valuable complementary method for FFDM.

目的:本单中心研究包括对比分析对比增强乳房x线摄影(CEM)和自动乳房超声(ABUS)的诊断性能。该研究纳入了81例局灶性乳腺病变患者,他们接受了ABUS、全视野数字乳房x线摄影(FFDM)和CEM。材料与方法:81例患者共发现局灶性病变169个,经组织病理学证实病变110个,恶性92个,B3型病变5个,良性13个。在CEM上发现了19个其他影像学检查未见的额外病变,ABUS上发现了多达36个新病变。ABUS组169例,FFDM组65例,CEM组88例,多病变患者中检出病变数为106例。病变边缘与组织病理学特征的相关性以FFDM最高(p < 0.00),其次为ABUS (p = 0.038), CEM最低(p = 0.043)。与组织病理学相比,确定病变大小作为金标准的依从性在ABUS中最高(p = 0.258),在CEM中较低(p = 0.012)。结果:ABUS、FFDM、CEM的敏感性分别为80.43、90.22、93.48;特异性:27.78、11.11和11.11;阳性预测值(PPV)分别为85.06、83.84和84.31;阴性预测值(NPV)分别为21.74、18.18和25;准确率分别为71.82、77.27和80。FFDM与ABUS联合检测的灵敏度和准确度分别为100 (p = 0.02)和84.55 (AUC = 0.947), FFDM + CEM联合检测的灵敏度和准确度分别为93.48 (p = 0.25)和79.09 (AUC = 0.855)。结论:本研究证实ABUS和CEM都可以作为FFDM的有价值的补充方法。
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引用次数: 0
Split cord malformation - a simple, current classification based on CT and MRI neuroimaging studies. 脊髓分裂畸形--基于 CT 和 MRI 神经影像学研究的简单现行分类。
Pub Date : 2025-01-30 eCollection Date: 2025-01-01 DOI: 10.5114/pjr/199683
Jadwiga Kleinrok, Krzysztof Kleinrok, Tadeusz Jan Popiela

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.

本文的目的是介绍目前使用的分类劈裂脊髓畸形。脊髓分裂畸形(SCM)是一种在神经发育过程中出现的发育缺陷,导致神经管发育异常,在脊髓和硬膜囊内形成分裂。术语纵裂和双裂在文献中被用来描述这种缺陷。1992年,Pang提出了SCM一词来描述所有的脊髓畸形,并根据椎管内矢状隔的性质和是否存在分离的硬脑膜囊,将其分为I型和II型。SCM I型包括骨间隔和硬脊膜囊分裂的病例,而SCM II型包括无硬脊膜囊分裂但存在纤维间隔的病例。根据缺陷的类型,以及分裂的位置和程度,这种情况伴随着不同部位和严重程度的神经系统症状。由于症状可能随着儿童的成长而恶化,手术干预通常是必要的。在这篇文章中,作者根据文献资料介绍了缺陷,描述了关于缺陷和相关异常的当前术语,并提出了一组应该评估的特征来分类病变。
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引用次数: 0
Comparing myocardial injury patterns and outcomes in cardiac magnetic resonance imaging between COVID-19- and non-COVID-19-related myocarditis. 比较COVID-19相关和非COVID-19相关心肌炎心肌损伤模式和心脏磁共振成像结果
Pub Date : 2025-01-22 eCollection Date: 2025-01-01 DOI: 10.5114/pjr/199445
Shokoufeh Hajsadeghi, Mohammad Kasaei, Hamidreza Pouraliakbar, Sepehr Jamalkhani, Shayan Mirshafiee

Purpose: Despite the low incidence of COVID myocarditis, its influence on outcomes is substantial. The pivotal role of cardiac magnetic resonance (CMR) in diagnosing myocarditis is considered to be associated with disease prognosis. The primary objective of this study was to conduct a comparative analysis of myocardial injury patterns, CMR pathologic features, outcomes, and their correlation with CMR findings in COVID- and non-COVID-related myocarditis.

Material and methods: This historical cohort study involved 124 patients diagnosed with myocarditis (COVID-19 or non-COVID-19), who underwent CMR between 2018 and 2021. The COVID group consisted of 70 individuals with a definite history of COVID-19 infection within 4 weeks, and the non-COVID group comprised 54 individuals who had no prior exposure to the SARS-CoV-2 virus. All patients were monitored for one year to assess the incidence of major adverse cardiovascular events (MACE). Additionally, baseline and follow-up echocardiography data were obtained with a minimum 3-month interval.

Results: In comparison between two groups regarding to indices of CMR, left ventricular (LV) ejection fraction (p < 0.001), right ventricular (RV) ejection fraction (p < 0.001) were significantly lower in non-COVID group, and significant LV and RV systolic dysfunction were meaningfully lower in the COVID group. Extension of late gadolinium enhancement (LGE) was significantly greater in COVID group. Finally, the incidence of MACE and mean event-free survival did not have significant difference between two groups.

Conclusions: Although CMR findings differed between the 2 groups, there was no significant difference in the risk of MACE or survival during one-year follow-up. Notably, LV and RV dysfunction were more prevalent in the non-COVID group, while extension of LGE was greater in the COVID group.

目的:尽管COVID - 19心肌炎发病率较低,但其对预后的影响很大。心脏磁共振(CMR)在诊断心肌炎中的关键作用被认为与疾病预后有关。本研究的主要目的是对COVID- 19和非COVID- 19相关性心肌炎的心肌损伤模式、CMR病理特征、结局及其与CMR结果的相关性进行比较分析。材料和方法:本历史队列研究纳入124例诊断为心肌炎(COVID-19或非COVID-19)的患者,这些患者在2018年至2021年间接受了CMR。COVID组由70名在4周内有明确COVID-19感染史的人组成,非COVID组由54名先前未接触过SARS-CoV-2病毒的人组成。对所有患者进行为期一年的监测,以评估主要不良心血管事件(MACE)的发生率。此外,基线和随访超声心动图数据至少间隔3个月。结果:两组CMR指标比较,非COVID组左室(LV)射血分数(p < 0.001)、右室(RV)射血分数(p < 0.001)明显降低,COVID组左室、右室收缩功能明显降低。晚期钆增强延长(LGE)在COVID组显著增加。最后,两组间MACE发生率和平均无事件生存期无显著差异。结论:尽管CMR结果在两组之间存在差异,但在一年的随访期间,MACE的风险或生存没有显著差异。值得注意的是,非COVID组的左、右心室功能障碍更为普遍,而COVID组的LGE延长更大。
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引用次数: 0
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Polish journal of radiology
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