scholarly journals Bladder paraganglioma: CT and MR imaging characteristics in 16 patients

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jing Zhang ◽  
Xu Bai ◽  
Jing Yuan ◽  
Xiaojing Zhang ◽  
Wei Xu ◽  
...  
Keyword(s):  
Gluteus Maximus ◽  
Peripheral Tissue ◽  
Cystic Degeneration ◽  
Imaging Features ◽  
Tissue Invasion ◽  
Diffusion Weighted Images ◽  
Imaging Characteristics ◽  
Mri Features ◽  
T2 Hyperintensity ◽  
Bladder Tumours

Abstract Background Bladder paraganglioma (BPG) is a rare extra-adrenal pheochromocytoma with variable symptoms and easy to be misdiagnosed and mishandled. The aim of the study was to document the imaging features of BPG using computed tomography (CT) and magnetic resonance imaging (MRI). Patients and methods We retrospectively enrolled consecutive patients with pathology-proven BPG, who underwent CT or MRI examinations before surgery between October 2009 and October 2017. The clinical characteristics, CT, and MRI features of the patients were described and analysed. Results A total of 16 patients with 16 bladder tumours (median age 51 years, 9 females) were included. Among them, 13 patients underwent CT examinations and eight patients underwent MRI examinations preoperatively. Tumour diameters ranged from 1.6−5.4 cm. Most of the tumours grew into the bladder cavity (n = 11) with oval shapes (n = 10) and well-defined margins (n = 14). Intratumour cystic degeneration or necrosis (n = 2) was observed. Two lesions showed peripheral tissue invasion, suggesting malignant BPGs. All 13 lesions imaged with CT exhibited slight hypoattenuation and moderate to marked enhancement. Compared to the gluteus maximus, all lesions showed slight h yperintensity in T2-weighted images, hyperintensity on diffusion-weighted images (DWI), hypointensity on apparent diffusion coefficient maps, hyperintensity on T1-weighted images and a “fast in and slow out” enhanced pattern on contrast-enhanced MRI images. Conclusions BPGs are mostly oval-shaped, broadly-based and hypervascular bladder tumours with hypoattenuation on non-contrast CT, T2 hyperintensity, slight T1 hyperintensity compared to the muscle, marked restricted diffusion on DWI. Peripheral tissue invasion can suggest malignancy of the BPGs. All of these features contribute to preoperative decision-making.

scholarly journals Head and neck osteosarcoma: CT and MR imaging features

2020 ◽  
Vol 49 (2) ◽  
pp. 20190202
Author(s):  
Zhendong Luo ◽  
Weiguo Chen ◽  
Xinping Shen ◽  
Genggeng Qin ◽  
Jianxiang Yuan ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Head And Neck ◽  
Giant Cell ◽  
High Signal ◽  
Imaging Features ◽  
Matrix Mineralization ◽  
Imaging Characteristics ◽  
Mri Features ◽  
Signal Intensities ◽  
Ct And Mri

Objective: This study aims to assess the CT and MRI features of head and neck osteosarcoma (HNO). Methods: 37 HNOs were identified, and the following imaging characteristics were reviewed on CT and MRI. Results: A total of 37 patients(age 41.5 ± 15.0 years old; 16 males, 21 females) were included in the study. Tumours occurred in the maxilla (16, 43.2%), mandible (8, 21.6%), skull base (6, 16.2%), calvarium (5, 13.5%), paranasal sinuses (1, 2.7%) and cervical soft tissue (1, 2.7%). 16 patients received radiotherapy for nasopharyngeal carcinoma. Three patients (8.1%) developed osteosarcomas related to a primary bone disease. 16 of the (43.2%) tumours demonstrated lytic density on CT scans, followed by 13 (35.1%) showing mixed density and 7 (18.9%) with sclerotic density. Matrix mineralization was present in 32 (86.5%). 3 out of 24 (12.5%) tumours showed lamellar periosteal reactions, 21 out of 24 (87.5%) showed spiculated periosteal reactions. 12 tumours showed low signal intensities on T1WI, with 16 having heterogeneous signal intensities. 10 tumours showed high signal intensities on T2WI, and 18 showed heterogeneous signal intensities. With contrast-enhanced images, 3 tumours showed homogeneous enhancement (2 osteoblastic and 1 giant cell-rich), 18 tumours showed heterogeneous enhancement (13 osteoblastic, 4 fibroblastic and 1 giant cell-rich), and 7 tumours showed peripheral enhancement (6 chondroblastic and 1 osteoblastic). These tumours were characterized by soft tissue masses with a diameter of 5.6 ± 1.8 cm. Conclusions: HNO is a rare condition and is commonly associated with previous radiation exposure. This study provides age, sex distribution, location, CT and MRI features of HNO.

scholarly journals Unusual MR Imaging Features in CT Hyperdense Posterior Fossa Dermoids: Report of Two Cases

2020 ◽  
Vol 09 (01) ◽  
pp. 63-66
Author(s):  
Anbazhagan Sathiaprabhu ◽  
Nichanametla Sravani ◽  
Krishnan Nagarajan ◽  
Sekar Sabarish ◽  
Kapil Patil
Keyword(s):  
Magnetic Resonance ◽  
Posterior Fossa ◽  
Magnetization Transfer ◽  
The Body ◽  
Resonance Spectroscopy ◽  
Imaging Features ◽  
Signal Loss ◽  
Mri Features ◽  
Magnetic Resonance Imaging Mri ◽  
T2 Hyperintensity

AbstractDermoids, either intracranial or in the rest of the body, usually have typical imaging findings due to their fat contents as fat density in computed tomography (CT) and T1- and T2-hyperintensity in magnetic resonance imaging (MRI). Variable imaging appearances have been described due to soft tissue contents, hair, calcification, or even tooth. Posterior fossa dermoids have been reported as a specific variant that shows hyperdensity in CT and mixed signal intensity in MRI. We report two cases of posterior fossa CT hyperdense dermoids that showed unusual MRI features in the form of signal loss in magnetization transfer images and lipid peak in magnetic resonance spectroscopy. Both patients underwent surgical resection and histopathological confirmation and the causes of this unusual imaging appearance are discussed.

scholarly journals Extraskeletal Ewing’s sarcoma: outcomes and CT features of endoceliac lesions

2020 ◽  
Author(s):  
Zeyang Chen ◽  
Yang Jiao ◽  
Zining Liu ◽  
Jiejin Yang ◽  
Yuyang Zhang ◽  
...  
Keyword(s):  
Lymph Nodes ◽  
Ewing’S Sarcoma ◽  
Ewing's Sarcoma ◽  
Tumour Size ◽  
Cystic Degeneration ◽  
Imaging Features ◽  
Regional Lymph Nodes ◽  
Imaging Characteristics ◽  
Extraskeletal Ewing’S Sarcoma ◽  
Ct Features

Abstract Background To analyse the clinicopathological features and outcomes of patients with extraskeletal Ewing’s sarcoma (EES). The basic imaging characteristics of endoceliac lesions, which are always misdiagnosed preoperatively, are also summarised.Methods This study involved EES patients admitted to our centre between January 2000 and January 2020. Clinical data from patients with EES (n = 25) and computed tomography (CT) data from patients with endoceliac lesions (n = 8) were retrospectively reviewed.Results The sample comprised 18 males and 7 females with a median age of 30 years (range 1–72 years). Seven patients had EES originating from surface sites and 18 had EES originating from endoceliac sites. The median tumour size was 8.0 cm (range 2.5–17.0 cm). In total, 20% of patients had distant metastasis at diagnosis. In the univariate analyses, tumour size > 8 cm, undergoing surgery, and regional lymph nodes metastasis were risk factors for poor prognosis of EES. In the multivariate analysis, patients undergoing surgery and regional lymph node metastasis were independent predictors of overall survival (OS). Endoceliac EES cases frequently exhibited lobulated contour (87.5%), absence of calcification (75%), severe necrosis or cystic degeneration (75%), heterogeneous enhancement (100%), moderate enhancement (75%), ill-defined borderline (62.5%), and organ invasion (75%). Half of the patients with endoceliac EES had CT features of lymphadenopathy.Conclusions Comprehensive understanding of the clinicopathological and imaging features of EES is beneficial for diagnosis, development of therapeutic strategies, and accurate prediction of prognosis for this rare malignant tumour. The results suggest that evaluation of the status of regional lymph nodes is important for the treatment of EES.

scholarly journals Imaging features of intrahepatic cholangiocarcinoma mimicking a liver abscess: an analysis of 8 cases

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Manrong Liu ◽  
Jiong Chen ◽  
Ruisui Huang ◽  
Jianning Huang ◽  
Lin Li ◽  
...  
Keyword(s):  
Liver Abscess ◽  
Intrahepatic Cholangiocarcinoma ◽  
Pyogenic Liver Abscess ◽  
Restricted Diffusion ◽  
Necrotic Area ◽  
Imaging Features ◽  
Diffusion Weighted Images ◽  
Imaging Results ◽  
Single Mass ◽  
T2 Hyperintensity

Abstract Background In rare cases, intrahepatic cholangiocarcinoma can present as a pyogenic liver abscess and are often misdiagnosed. This study aimed to analyze the imaging features of intrahepatic cholangiocarcinoma mimicking a pyogenic liver abscess. Methods The clinical data and imaging results of eight patients with pathologically confirmed intrahepatic cholangiocarcinoma mimicking a liver abscess were retrospectively collected. Results The mean age was 58 years with a range of 46–68 years. Fever and leukocytosis were present in six patients. All the eight lesions were a single mass. Air–liquid levels were present in two patients. Only one patient showed hepatic lobar atrophy and hepatic capsule retraction. The double target sign of liver abscess was not noticed in the CT/MRI images of all eight patients. The inner wall of the lesion was rough and irregular, with multiple dot/patchy and wall nodule enhancements. The abscess wall and the marginal parenchyma were supplied by the hepatic artery in four patients, and the intralesional arteries were rough and disrupted. Bile duct dilatation was seen adjacent to the lesion. In seven patients, diffusion-weighted images showed irregular patchy restricted diffusion in the marginal parenchyma of the necrotic area in addition to the prominent restricted diffusion in the necrotic area. Two patients with cholangiolithiasis showed patchy slight CT hypodensity, slight T1 hypointensity, slight T2 hyperintensity, and patchy delayed enhancement. Multiple lymph nodes enlargement in the hepatic hilar area and the retroperitoneal space were seen in five patients. Conclusion Intrahepatic cholangiocarcinoma mimicking a pyogenic liver abscess have unique imaging features and require careful image examination to avoid misdiagnosis.

scholarly journals Radiological features of central giant cell granuloma: comparative study of 7 cases and literature review

2021 ◽  
pp. 20200429
Author(s):  
Samip Shrestha ◽  
Jia Zhang ◽  
Jun Yan ◽  
Xiaomin Zeng ◽  
Xiaoyong Peng ◽  
...  
Keyword(s):  
Giant Cell ◽  
Clinical Features ◽  
Bone Destruction ◽  
Cystic Degeneration ◽  
Contrast Study ◽  
Imaging Features ◽  
Giant Cell Granuloma ◽  
Central Giant Cell Granuloma ◽  
Cortical Thinning ◽  
Mri Features

Objective: To review and analyze the clinical and imaging features of central giant cell granuloma patients and to review the relevant literatures for the diagnosis and clinical manifestation of central giant cell granuloma. Methods: Seven cases of central giant cell granuloma were retrospectively selected for the study, all of which were confirmed by pathology and had relevant imaging investigations. All seven cases had undergone CT scan, three cases had undergone MRI scan. Detailed clinical features were compared along with the imaging findings and analysis was done on the basis of their presentation and imaging features. Results: The clinical features, radiologic features were varied according to the site of the lesion. CT features include unevenly dense expansile mass causing bone destruction and cortical thinning. While MRI features with low to iso-intensity in T1- and T2 weighted images. There may be presence of cystic degeneration, hemorrhage or hemosiderin deposits or osteoid formation, which can cause T1 and T2 signal changes. On contrast study, the lesion doesn’t enhance but periphery may enhance mildly. Conclusion: Unevenly dense expansile mass with bone destruction and cortical thinning with low to iso-intensity in T1 weighted and T2 weighted images and mildly enhance peripherally, Central giant cell granuloma should be considered.

Myxofibrosarcoma: clinical and prognostic value of MRI features

2020 ◽  
Vol 16 ◽  
Author(s):  
Paolo Spinnato ◽  
Andrea Sambri ◽  
Tomohiro Fujiwara ◽  
Luca Ceccarelli ◽  
Roberta Clinca ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Local Recurrence ◽  
Contrast Enhancement ◽  
Imaging Modality ◽  
Soft Tissue Sarcomas ◽  
The Elderly ◽  
High Rate ◽  
Imaging Features ◽  
High Grade ◽  
Mri Features

: Myxofibrosarcoma is one of the most common soft tissue sarcomas in the elderly. It is characterized by an extremely high rate of local recurrence, higher than other soft tissue tumors, and a relatively low risk of distant metastases.Magnetic resonance imaging (MRI) is the imaging modality of choice for the assessment of myxofibrosarcoma and plays a key role in the preoperative setting of these patients.MRI features associated with high risk of local recurrence are: high myxoid matrix content (water-like appearance of the lesions), high grade of contrast enhancement, presence of an infiltrative pattern (“tail sign”). On the other hand, MRI features associated with worse sarcoma specific survival are: large size of the lesion, deep location, high grade of contrast enhancement. Recognizing the above-mentioned imaging features of myxofibrosarcoma may be helpful to stratify the risk for local recurrence and disease-specific survival. Moreover, the surgical planning should be adjusted according to the MRI features

scholarly journals Imaging findings of cerebral fat embolism syndrome: a case report

2020 ◽  
Vol 48 (9) ◽  
pp. 030006052095055
Author(s):  
Yali Wang ◽  
Zhihua Si ◽  
Jingzhe Han ◽  
Shuangqing Cao
Keyword(s):  
Magnetic Resonance ◽  
Fat Embolism ◽  
Magnetic Resonance Images ◽  
Resonance Imaging ◽  
Diffusion Weighted Images ◽  
Embolism Syndrome ◽  
Imaging Characteristics ◽  
Fluid Attenuated Inversion Recovery ◽  
Cerebral Fat Embolism Syndrome ◽  
Head Computed Tomography

Cerebral fat embolism (CFE) syndrome is relatively rare in clinical practice. Currently, there is no uniform standard of magnetic resonance imaging for the diagnosis of the disease. In this report, we present head computed tomography and magnetic resonance images (T2-weighted images, fluid-attenuated inversion recovery images, diffusion-weighted images, and susceptibility-weighted images) in a case of CFE. This report explains the imaging characteristics of CFE and improves the clinician’s understanding of this disease and its etiology.

scholarly journals Retrospective analysis of the clinical presentation and imaging of eight primary benign mediastinal schwannomas

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Ramiro Sandoval-Macias ◽  
Irving Daniel Ortiz-Sanchez ◽  
Ana Lilia Remirez-Castellanos ◽  
Luis Mora-Hernandez ◽  
Candelaria Cordova-Uscanga ◽  
...  
Keyword(s):  
Retrospective Analysis ◽  
Signs And Symptoms ◽  
Cystic Degeneration ◽  
Imaging Features ◽  
Posterolateral Thoracotomy ◽  
Accurate Analysis ◽  
Cystic Changes ◽  
History Of ◽  
Histology And Immunohistochemistry

Abstract Objective Mediastinal schwannomas are sometimes confused with other neoplasms during initial radiological studies, especially when there is a history of cancer in another area. In these cases, a more accurate analysis using computed tomography (CT) or even magnetic resonance (MRI) is required. Our study aimed to perform a retrospective analysis of the clinical and imaging features for a series of patients with mediastinal schwannomas that were confirmed by histology and immunohistochemistry. Results We found eight patients, five men and three women, with an average age of 51 years for this study. The main signs and symptoms at diagnosis were chest pain, dyspnea, cough, and dysphagia. CT showed that the tumor was located in the posterior compartment of the chest in 7/8 cases. Tumors > 10 cm were more heterogeneous and showed cystic changes. All patients underwent posterolateral thoracotomy, and radiological follow-up showed no evidence of recurrence. Histological analysis was considered the gold standard to confirm diagnosis, along with at least one neurogenic IHC marker. In conclusion, mediastinal schwannomas are benign encapsulated tumors. According to CT, schwannomas > 10 cm show cystic degeneration more frequently. Posterolateral thoracotomy allows complete resection and is considered the surgical approach of choice.

scholarly journals CTNI-03. IMAGING FEATURES OF LEPTOMENINGEAL METASTASES OF NON-SMALL CELL LUNG CANCER: A SINGLE-CENTER REAL-WORLD STUDY

2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii41-ii41
Author(s):  
Junjie Zhen ◽  
Lei Wen ◽  
Shaoqun Li ◽  
Mingyao Lai ◽  
Changguo Shan ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Type A ◽  
Brain Parenchyma ◽  
Imaging Features ◽  
Type B ◽  
Type D ◽  
Mri Examination ◽  
Mri Features ◽  
Brain And Spinal Cord ◽  
The Brain

Abstract BACKGROUND According to EANO-ESMO clinical practice guidelines, the MRI findings of LM are divided into 4 types, namely linear enhancement (type A), nodular enhancement (type B), linear combined with nodular enhancement (type C), and sign of hydrocephalus (type D). METHODS The MRI features of brain and spinal cord in patients diagnosed with NSCLC-LM in Guangdong Sanjiu Brain Hospital from 2010 until 2019 were investigated, and then were classified into 4 types. The imaging features were analyzed. RESULTS A total of 80 patients were enrolled in the study. The median age of the patients was 53.5 years old, and the median time from the initial diagnosis to the confirmed diagnosis of LM was 11.6 months. The results of enhanced MRI examination of the brain in 79 cases showed that the number of cases with enhancements of type A, B, C and D were 50 (63.3%), 0, 26 (32.9%) and 3 (3.8%), respectively, and that LM with metastases to the brain parenchyma was found in 42 cases (53.2%). The results of enhanced MRI examination of spinal cord in 59 cases showed that there were only enhancements of type A and C in 40 cases (67.8%) and 3 cases (5.0%), and no enhancement sign in the other 16 cases (27.2%). CONCLUSION MRI examination of brain and spinal cord will improve the detection rate of LM. The MRI features of NSCLC-LM in real world are mainly characterized by the linear enhancements of brain and spinal cord, followed by linear combined with nodular enhancement. The enhancements of type B and type D are rare in clinic. Almost half of the patients have LM and metastases to the brain parenchyma. Therefore, the differentiation of tumor metastases is needed to be paid attention to for the early diagnosis and the formulation of reasonable treatment plans.

scholarly journals Multimodal imaging patterns predict survival in recurrent glioblastoma patients treated with bevacizumab

2016 ◽  
Vol 18 (12) ◽  
pp. 1680-1687 ◽  
Author(s):  
Ken Chang ◽  
Biqi Zhang ◽  
Xiaotao Guo ◽  
Min Zong ◽  
Rifaquat Rahman ◽  
...  
Keyword(s):  
Clinical Decision Making ◽  
Progression Free Survival ◽  
Clinical Decision ◽  
Recurrent Glioblastoma ◽  
Machine Learning Techniques ◽  
Imaging Biomarkers ◽  
Imaging Features ◽  
Mri Features ◽  
Fluid Attenuated Inversion Recovery ◽  
Multimodal Mri

Abstract Background Bevacizumab is a humanized antibody against vascular endothelial growth factor approved for treatment of recurrent glioblastoma. There is a need to discover imaging biomarkers that can aid in the selection of patients who will likely derive the most survival benefit from bevacizumab. Methods The aim of the study was to examine if pre- and posttherapy multimodal MRI features could predict progression-free survival and overall survival (OS) for patients with recurrent glioblastoma treated with bevacizumab. The patient population included 84 patients in a training cohort and 42 patients in a testing cohort, separated based on pretherapy imaging date. Tumor volumes of interest were segmented from contrast-enhanced T1-weighted and fluid attenuated inversion recovery images and were used to derive volumetric, shape, texture, parametric, and histogram features. A total of 2293 pretherapy and 9811 posttherapy features were used to generate the model. Results Using standard radiographic assessment criteria, the hazard ratio for predicting OS was 3.38 (P < .001). The hazard ratios for pre- and posttherapy features predicting OS were 5.10 (P < .001) and 3.64 (P < .005) for the training and testing cohorts, respectively. Conclusion With the use of machine learning techniques to analyze imaging features derived from pre- and posttherapy multimodal MRI, we were able to develop a predictive model for patient OS that could potentially assist clinical decision making.

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