Clinical and imaging features of carcinosarcoma of the uterus and cervix

Abstract Aim The purpose of our study was to analyze the clinical and imaging features of uterine carcinosarcoma (UCS) and cervical carcinosarcoma (CCS), and to explore the diagnostic and staging accuracy of computed tomography (CT) and magnetic resonance imaging (MRI) examinations. Methods 41 patients including 37 with UCS and 4 with CCS from July 2011 to September 2020 were enrolled in the study. Of the 37 UCS cases, 7 had CT images, 27 had MRI images, and 3 had both CT and MRI images. The Clinical data, CT or MRI imaging findings were analyzed. Diagnosis and staging accuracy of CT and MRI images were also analyzed. Results Carcinosarcoma usually occurs in postmenopausal women (40/41), with the typical clinical symptom being vaginal bleeding (33/41). The CA125 degree was significantly different between the two invasion depth groups (p = 0.011). Most uterine carcinosarcomas showed unclear boundaries, uneven density, low or equal signal on T1WI, high or mixed signal on T2WI, uneven high signal on diffusion-weighted image (DWI), and mild enhancement. The diagnostic accuracies of CT and MRI for carcinosarcoma were 0% and 3.33%, respectively. The diagnostic accuracy for malignant tumors on CT and MRI was 50% and 83.33%, respectively. Conclusions Carcinosarcoma lesions presented with huge mass filling in the cavity, and some presented with small polypoid lesions or endometrial thickening. Evaluation of lymph node metastasis is a significant challenge for imaging staging.

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Bone-related disorders of the jaw: A clinico-radiological diagnostic algorithm

The Neuroradiology Journal ◽

10.1177/1971400921998967 ◽

2021 ◽

pp. 197140092199896

Author(s):

Ahmed Abdel Khalek Abdel Razek

Keyword(s):

Diagnostic Algorithm ◽

Imaging Features ◽

Resonance Imaging ◽

Specific Diagnosis ◽

Clinical Presentations ◽

Neoplastic Lesions ◽

Lesion Extension ◽

Magnetic Resonance Imaging Mri ◽

The Relationship ◽

Ct And Mri

Bone-related disorders of the jaw (BRDJ) include a spectrum of non-neoplastic and neoplastic lesions of the maxillofacial region that have been recently classified into fibro-osseous lesions, giant cell lesions and osseous tumours. The histopathological features of BRDJ can be similar and overlie each other. Imaging is important in order to reach a specific diagnosis. However, the appearance of BRDJ on imaging is non-specific in some cases. Computed tomography (CT) and magnetic resonance imaging (MRI) are used for accurate localisation, characterisation of the tumour matrix, delineation of the lesion extension and establishment of the relation of BRDJ to the surrounding structures. Imaging is usually done to detect the relationship with the adjacent surrounding vital structures and to diagnose aggressive forms, malignant transformation and associated syndromes. The correlation of the demographic findings, the location and the clinical presentations with the imaging features are important for the diagnosis of BRDJ. The proposed clinico-radiological diagnostic algorithm with CT and MRI helps a specific diagnosis to be reached in some cases.

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Imaging features of primary renal lymphoma

Acta Radiologica ◽

10.1177/0284185117706202 ◽

2017 ◽

Vol 59 (1) ◽

pp. 114-120 ◽

Cited By ~ 5

Author(s):

Qingqiang Zhu ◽

Wenrong Zhu ◽

Jingtao Wu ◽

Wenxin Chen

Keyword(s):

Multislice Computed Tomography ◽

Low Grade ◽

Imaging Features ◽

Mri Imaging ◽

Abdominal Vessels ◽

Renal Lymphoma ◽

Renal Enlargement ◽

Magnetic Resonance Imaging Mri ◽

Mri Characteristics ◽

Ct And Mri

Background Cases of primary renal lymphoma (PRL) are quite rare and are often mistaken for renal cell carcinoma. Purpose To determine the multislice computed tomography (MSCT) and magnetic resonance imaging (MRI) characteristics of PRL. Materials and Methods Twenty-three patients with PRL were identified by CT and MRI, and their tumor characteristics were assessed. Results Tumors exhibited single or multifocal nodules (n = 19) and diffuse renal enlargement (n = 4). Twenty-two tumors exhibited an infiltrative appearance. There was no evidence of calcification in any of the cases. Twenty-one tumors displaced or wrapped around abdominal vessels rather than encasing them. Enlarged retroperitoneal nodes were observed in three cases. Neither extension into the venous system nor distant metastasis was found. Tumor enhancement was of low attenuation compared with that of normal renal cortex and medulla ( P < 0.05). PRL was isointense on T1-weighted imaging, slightly hypointense on T2-weighted imaging and hyperintense on diffusion-weighted imaging. Twenty-two patients exhibited biopsy-confirmed PRN. There were four, 12, and seven cases of low-grade, intermediate-grade, and high-grade tumors, respectively. Patient were followed up over 16 to 166 months. Six patients died within three years and five patients died within five years. Conclusion Infiltrative appearance and tumor displacement or extension around abdominal vessels rather than vessel encasement are common findings on CT or MRI imaging and may suggest a diagnosis of PRL.

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Atypical magnetic resonance imaging features and differential diagnosis of hepatocellular carcinoma

Journal of International Medical Research ◽

10.1177/0300060520943415 ◽

2020 ◽

Vol 48 (10) ◽

pp. 030006052094341

Author(s):

Shuang-Yu Wang ◽

Lei Yin ◽

Chen Wang ◽

Ming-Ping Ma

Keyword(s):

Magnetic Resonance Imaging ◽

Hepatocellular Carcinoma ◽

Magnetic Resonance ◽

Diagnostic Accuracy ◽

Central Star ◽

High Signal ◽

Imaging Features ◽

Resonance Imaging ◽

Mri Features ◽

Magnetic Resonance Imaging Mri

Objective Hepatocellular carcinoma (HCC) is the most common primary malignant tumor of the liver. We aimed to summarize and analyze the atypical magnetic resonance imaging (MRI) features of HCC to improve its diagnostic accuracy. Methods We retrospectively analyzed MRI data for 66 patients with HCC with atypical MRI features confirmed by operation and pathology. Results Twelve patients had high signals and 18 patients had significant decreases in opposed phase signals in T1WI plain scans. Nine patients had high signals and six patients had large cystic lesions in apparent diffusion coefficient images. Dynamic enhancement showed progressive enhancement in 15 patients, ring enhancement in three, irregular patchy enhancement in three, ‘nodule-in-nodule’ enhancement in six, delayed central patchy enhancement in six, delayed central ‘star-like aristate scars’ (T2WI revealed high signal intensity) in 21, and poor blood supply in three patients. Conclusions MRI can make a clear diagnosis of typical HCC, and atypical cases can also be distinguished from other tumors or tumor-like lesions by MRI. The analysis of atypical signs may improve the diagnostic accuracy of MRI for HCC.

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Magnetic Resonance Imaging (MRI) Differential Diagnosis of Meningiomas Using ANOVA

Contrast Media & Molecular Imaging ◽

10.1155/2021/4799116 ◽

2021 ◽

Vol 2021 ◽

pp. 1-8

Author(s):

Jinhuan Liu ◽

Jun Chen ◽

Yunfei Zha ◽

Yabin Huang ◽

Feifei Zeng

Keyword(s):

Age Distribution ◽

Diagnostic Value ◽

High Signal ◽

Mrna Levels ◽

Mri Imaging ◽

Resonance Imaging ◽

Research Subjects ◽

Immunohistochemical Assay ◽

Magnetic Resonance Imaging Mri ◽

Imaging Signs

This work explored the diagnostic value of different subtypes of meningiomas under T2WI low signal based on analysis of variance (ANOVA), and the expression differences of Ki67, VEGF, and P73 in different subtypes were analyzed. 67 patients with meningioma confirmed surgically and pathologically in hospital were selected as the research subjects, whose pathological classification occurs with obvious low signal on T2WI. First, the age distribution of the subjects and the distribution of different subtypes were counted. Then, ANOVA was adopted to analyze the MRI imaging signs of patients with different subtypes of meningioma. Finally, the differences of Ki67, VEGF, and P73 proteins and mRNA expression levels in different subtypes were detected via immunohistochemical assay and qPCR. The results showed that the proportion of patients with transitional meningioma was the most, which was 43.28%, while the proportion of patients with meningeal melanoma was the least, which was 7.46%. In patients with transitional meningioma, the MRI images showed mixed signals in different layers. Fibrous MRI images showed hyalinosis and calcification of collagen fibers in the tumor, with low T2WI signal. Sand-shape MRI images showed double low signals. MRI images of meningeal melanoma showed high signal on T1-weighted Imaging (T1WI) and low signal on T2WI. The protein expression and mRNA levels of Ki67 and P73 in transitional meningioma were evidently higher in contrast to those in fibrous meningioma ( P < 0.05 ). The expression level of VEGF protein and mRNA in meningeal melanoma were notably higher in contrast to those in fibro meningioma ( P < 0.05 ). It was revealed that the MRI images of the four subtypes of meningiomas under ANOVA-based T2WI low signal were quite different, and the expressions of Ki67, P73, and VEGF in different subtypes had significant differences. This work provided a reference basis for the preoperative diagnosis, treatment, and prognosis of meningiomas.

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CT and MRI imaging of glomus tumors of the temporal bone

Medical Visualization ◽

10.24835/1607-0763-2018-3-26-32 ◽

2018 ◽

pp. 26-32

Author(s):

E. A. Stepanova ◽

М. V. Vishnyakova ◽

V. I. Sambulov ◽

I. Т. Mukhamedov

Keyword(s):

Magnetic Resonance ◽

Diagnostic Imaging ◽

Temporal Bone ◽

Glomus Tumor ◽

Magnetic Resonance Tomography ◽

Mri Imaging ◽

Glomus Tumors ◽

Magnetic Resonance Imaging Mri ◽

Temporal Bone Tumor ◽

Ct And Mri

Glomus tumor is one of the most common temporal bone tumors. Most of them are benign and locally invasive, some are occasionally able to metastasize and have signs of malignancy. Diagnostic imaging is necessary before treatment. Computer tomography (CT) is traditionally used as a primary method of diagnosis, to recognize changes in the temporal bone. Role of magnetic resonance imaging (MRI) in temporal bone tumor diagnosis is not definitively determined.Purpose. To assess the possibilities of computer and magnetic resonance tomography, to develop an algorithm for the application of diagnostic imaging methods in the diagnosis of glomus tumors of the temporal bone.Material and methods. The article presents the experience of diagnosing 30 patients with glomus tumors.Results. The tympanic form of the glomus tumor was observed in 11 cases (37%), tympano-yugular in 19 cases (63%). CT and MRI data totally coincided in cases of small tumors (type A and B). In the presence of extended forms CT ability of assessing bone invasion, involvement of the internal carotid artery, internal jugular vein, and dural sinuses was lower than the MRI.

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Head and neck osteosarcoma: CT and MR imaging features

Dentomaxillofacial Radiology ◽

10.1259/dmfr.20190202 ◽

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.

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Magnetic resonance imaging of spinal arteriovenous malformations

Journal of Neurosurgery ◽

10.3171/jns.1987.66.6.0830 ◽

1987 ◽

Vol 66 (6) ◽

pp. 830-834 ◽

Cited By ~ 75

Author(s):

John L. Doppman ◽

Giovanni Di Chiro ◽

Andrew J. Dwyer ◽

Joseph L. Frank ◽

Edward H. Oldfield

Keyword(s):

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Arteriovenous Malformations ◽

High Signal ◽

Resonance Imaging ◽

Content Type ◽

Spinal Arteriovenous Malformations ◽

Magnetic Resonance Imaging Mri ◽

Spinal Avm ◽

Fine Print

✓ Magnetic resonance imaging (MRI) was performed on 12 patients with spinal arteriovenous malformations (AVM's). Six lesions were intramedullary, five were dural, and one was in a posterior extramedullary location. Serpentine filling defects similar to the classic myelographic findings were demonstrated within the high-signal cerebrospinal fluid on T2-weighted coronal scans. The intramedullary nidus was identified by MRI as an area of low-signal intensity within the cord in all six intramedullary AVM's. Neither the dural nor the posterior extramedullary lesions showed intramedullary components. It is concluded that MRI may noninvasively provide the initial diagnosis of a spinal AVM and distinguish intramedullary from dural and extramedullary lesions.

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MRI features of different types of sinonasan rhabdomyosarcomas: a series of eleven cases

Dentomaxillofacial Radiology ◽

10.1259/dmfr.20210030 ◽

2021 ◽

pp. 20210030

Author(s):

Junjie Zeng ◽

Lan Liu ◽

Jiayong Li ◽

Qiling Huang ◽

Leiming Pi ◽

...

Keyword(s):

Bone Destruction ◽

Imaging Features ◽

Resonance Imaging ◽

Bone Invasion ◽

Mri Features ◽

Different Types ◽

Magnetic Resonance Imaging Mri ◽

Haematogenous Metastasis ◽

Ethmoid Sinuses ◽

Pathological Subtypes

Objective: To retrospectively analyze magnetic resonance imaging (MRI) features of various pathological subtypes of sinonasal rhabdomyosarcoma (RMS) and explore correlations between imaging features and pathological subtypes. Methods: In total, 11 cases with embryonal, alveolar or pleomorphic sinonasal RMSs, confirmed by surgical pathology, were selected. Their characteristics and distinctive imaging features were analysed, and the correlation between pathology and imaging features was explored. Results: Bone destruction was observed in all 11 cases with RMS. Expansive growth was predominant in three alveolar and three embryonal RMS cases, and creeping growth was predominant in two alveolar, two embryonal and one pleomorphic RMS cases. Signs of residual mucosa were observed in all 11 cases, and 10 cases showed involvement of multiple sinus cavities and orbital cavities. All cases exhibited mild-to-intermediate enhancement. Conclusion: Sinonasal RMSs have the following characteristic MRI features: ethmoid sinuses and middle nasal conchae are the prevalent sites; lesions are mainly of mild enhancement; tumours exhibit signs of residual mucosa, mild-to-intermediate enhancement and frequent orbital involvement; bone invasion and bone destruction are frequently observed; and haematogenous metastasis is not as common as lymphatic metastasis. RMSs of various pathological subtypes were not significantly distinct by imaging.

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Nonconventional Options for Tumor Localization in Breast and Axillary Lymph Nodes: A Pictorial How-To

Journal of Clinical Imaging Science ◽

10.4103/jcis.jcis_57_18 ◽

2018 ◽

Vol 8 ◽

pp. 54 ◽

Cited By ~ 4

Author(s):

Naziya Samreen ◽

Christine U Lee ◽

Asha A Bhatt

Keyword(s):

Breast Lesion ◽

Preoperative Localization ◽

Axillary Lymph Nodes ◽

Axillary Lymph ◽

Resonance Imaging ◽

Node Localization ◽

Magnetic Resonance Imaging Mri ◽

Lesion Localization ◽

Ct And Mri ◽

Breast Malignancies

Preoperative localization of breast malignancies using traditional ultrasound and digital techniques can be challenging, particularly after neoadjuvant chemotherapy when the target is not conspicuous. The purpose of this paper is to pictorially present nontraditional techniques that have been helpful in preoperative localization before surgery. We will discuss techniques for breast lesion localization using computed tomography (CT) and magnetic resonance imaging (MRI) as well as axillary lymph node localization using tomosynthesis, CT, and MRI.

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Value of Magnetic Resonance Imaging Features in Diagnosis and Treatment of Breast Cancer under Intelligent Algorithms

Scientific Programming ◽

10.1155/2021/5289128 ◽

2021 ◽

Vol 2021 ◽

pp. 1-8

Author(s):

Shuang Liu ◽

Min Tang ◽

Shuqin Ruan ◽

Feng Wei ◽

Jiaxi Lu

Keyword(s):

Breast Cancer ◽

Magnetic Resonance Imaging ◽

Breast Mri ◽

Imaging Features ◽

Mri Imaging ◽

Resonance Imaging ◽

Intelligent Algorithms ◽

Mri Diagnosis ◽

Diagnosis Model ◽

Mri Image

This study was to analyze the clinical application value of magnetic resonance imaging (MRI) image features based on intelligent algorithms in the diagnosis and treatment of breast cancer and to provide an effective reference assessment for breast cancer diagnosis. The MRI diagnosis model (ACO-MRI) based on the ant colony algorithm (ACO) was proposed, which was compared with the diagnosis methods based on support vector machine (SVM) and proximity (KNN) algorithm, and the proposed algorithm was applied to MRI images to diagnose breast cancer. The results showed that the accuracy, sensitivity, and specificity of the ACO-MRI model were greater than those of the KNN and SVM algorithm. Moreover, the specificity was statistically considerable compared with the two algorithms of KNN and SVM ( P < 0.05 ). By comparing 1/5 number of ants and the average gray path of the ACO-MRI model under 1/8 number of ants, it was found that the average gray path value of 1/8 number of ants was greatly higher than the average gray path value of 1/5 number of ants ( P < 0.05 ). The differences in the overall distribution of breast MRI imaging features among Luminal A, Luminal B, HER-2 overexpression, and TN were compared. There were considerable differences in the overall distribution of the three breast MRI imaging features of the boundaries, morphology, and enhancement methods among the four groups ( P < 0.05 ). In short, MRI image based on the intelligent algorithm ACO-MRI diagnosis model can effectively improve the diagnosis effect of breast cancer. Its image feature boundaries, morphology, and enhancement methods had good imaging features in the diagnosis of breast cancer.

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