scholarly journals Predictability of myometrial, lower uterine segment and cervical invasion with 3D transvaginal ultrasonography and magnetic resonance imaging in endometrial cancer patients: a prospective cohort study

2018 ◽  
Vol 20 (3) ◽  
pp. 348 ◽  
Author(s):  
Nuri Yildirim ◽  
Bahadir Saatli ◽  
Semir Kose ◽  
Ceren Sancar ◽  
Cagnur Ulukus ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Endometrial Cancer ◽  
Magnetic Resonance ◽  
Cancer Patients ◽  
Imaging Techniques ◽  
Three Dimensional ◽  
Lower Uterine Segment ◽  
Transvaginal Ultrasonography ◽  
Resonance Imaging ◽  
Sensitivity Specificity

Aims: The objective of this study is to identify the diagnostic performance of three-dimensional transvaginal ultrasonography (3D-US) and magnetic resonance imaging (MRI) in detecting myometrial, lower uterine segment and/or cervical invasion in endometrial cancer patients.Materials and methods: In this prospective study, 40 patients diagnosed with endometrial cancer were performed 3D-US and MRI, preoperatively. Deep myometrial, lower uterine segment and cervical invasion were evaluated subjectively and results were compared with the final histology as a gold standard.Results: Diagnostic accuracy of 3D-US for detecting deep myometrial, lower uterine segment and cervical invasion were 87.5%, 80% and 85%, respectively. The same results for MRI were 75%, 65% and 70%, respectively. For deep myometrial, lower uterine segment and/or cervical invasion in endometrial cancer, 3D-US had higher sensitivity, specificity, negative and positive predictive value and accuracy than MRI. The combination of these two imaging techniques had an increased sensitivity of detecting all parameters related with tumoral invasion but decreased specificity and the accuracy.Conclusion: 3D-US had better performance in detecting myometrial, lower uterine segment and/or cervical invasion than MRI in endometrial cancer patients. Combination of these techniques was not preferred according to this study.

EVALUATION OF MYOMETRIAL INVASION AND CERVICAL INVOLVEMENT IN TYPE I ENDOMETRIAL CANCER USING DIFFUSION-WEIGHTED MAGNETIC RESONANCE IMAGING

2020 ◽  
pp. 4-6
Author(s):  
HARIYONO WINARTO ◽  
BRIAN PRIMA ARTHA ◽  
SAHAT B. MATONDANG ◽  
TANTRI HELLYANTI ◽  
ARIA KEKALIH
Keyword(s):  
Magnetic Resonance Imaging ◽  
Endometrial Cancer ◽  
Magnetic Resonance ◽  
Cancer Patients ◽  
Myometrial Invasion ◽  
Type I ◽  
Resonance Imaging ◽  
Diffusion Weighted ◽  
Weighted Magnetic Resonance Imaging ◽  
Cervical Involvement

Objective: Surgical procedure and adjuvant treatment of type I endometrial cancer were affected by some variables assessed preoperatively. Diffusion-weighted magnetic resonance imaging (DWI) is a promising modality in evaluating myometrial invasion and cervical involvement, investigating the diagnostic values of DWI in assessing myometrial invasion and cervical involvement. Methods: A cross-sectional study was conducted. This study involved all type I endometrial cancer patients in Dr. Cipto Mangunkusumo Hospital from April 2016 until April 2019. The depth of myometrial invasion and cervical involvement was examined using 1.5-T MR unit. The result was compared to the surgical pathologic findings as the reference standard. Results: 34 types I endometrial cancer patients were enrolled in this study. The sensitivity of DWI in evaluating myometrial invasion and cervical involvement in type I endometrial cancer was 94.12% and 57.14%, while the specificity was 64.71% and 92.59%, respectively. Conclusion: DWI can provide reliable prognostic variable information about the myometrial invasion and cervical involvement in the preoperative preparation of endometrial cancer patients.

scholarly journals Cartilage morphology at 3.0T: Assessment of three-dimensional magnetic resonance imaging techniques

2010 ◽  
Vol 32 (1) ◽  
pp. 173-183 ◽  
Author(s):  
Christina A. Chen ◽  
Richard Kijowski ◽  
Lauren M. Shapiro ◽  
Michael J. Tuite ◽  
Kirkland W. Davis ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Imaging Techniques ◽  
Three Dimensional ◽  
Resonance Imaging ◽  
Magnetic Resonance Imaging Techniques

Diagnostic value of diffusion-weighted magnetic resonance imaging in discriminating between metastatic and non-metastatic pelvic lymph nodes in endometrial cancer

2020 ◽  
Vol 61 (11) ◽  
pp. 1580-1586
Author(s):  
Arvin Arian ◽  
Ahmed Mohamedbaqer Easa ◽  
Mehran Arab-Ahmadi
Keyword(s):  
Magnetic Resonance Imaging ◽  
Endometrial Cancer ◽  
Magnetic Resonance ◽  
Lymph Nodes ◽  
Cancer Patients ◽  
Diagnostic Value ◽  
Resonance Imaging ◽  
Metastatic Lymph Nodes ◽  
Metastatic Lymph ◽  
Weighted Magnetic Resonance Imaging

Background Researchers have recently focused on assessing the accuracy of diffusion-weighted magnetic resonance imaging (DW-MRI) in predicting pelvic lymph node metastases in gynecological malignancies. Purpose To evaluate the diagnostic value of DW-MRI in discriminating between metastatic and non-metastatic pelvic lymph nodes in endometrial cancer patients. Material and Methods This retrospective database study was conducted with 33 women aged 30–84 years with pathologically proven endometrial cancer that had been assessed by DW-MRI before their first treatment initiation at our referral hospital from March 2016 to April 2019. The diffusion technique (b = 50, 400, and 1000 mm2/s) was used in the imaging, and continuous apparent diffusion coefficient (ADC) metrics (ADCmin, ADCmax, ADCmean, ADCSD, and rADC) were compared between the metastatic and non-metastatic lymph nodes. Results In total, 48 lymph nodes from 33 patients were assessed. All metastatic lymph nodes were restricted, while among the non-metastatic lymph nodes, only 19.3% were restricted. Considering pathological reports of metastatic and non-metastatic lymph nodes as the gold standard, DWI-related restricted and non-restricted features had a sensitivity of 80.6%, a specificity of 100%, and an accuracy of 87.5% to discriminate between a metastatic and non-metastatic pattern. ADC metrics of ADCmin, ADCmax, ADCmean, ADCSD, and rADC showed high values enabling differentiation between metastatic and non-metastatic lymph nodes. The best cut-off values were 0.7 × 10−3, 1.2 × 10−3, 1.01 × 10−3, 123, and 0.78, respectively. Conclusion DW-MRI is a useful quantitative tool for differentiating between metastatic and benign lymph nodes in endometrial cancer patients.

Machine Learning Model for Multi-View Visualization of Medical Images

2020 ◽  
Author(s):  
Nitesh Pradhan ◽  
Vijaypal Singh Dhaka ◽  
Geeta Rani ◽  
Himanshu Chaudhary
Keyword(s):  
Magnetic Resonance Imaging ◽  
Machine Learning ◽  
Magnetic Resonance ◽  
Computerized Tomography ◽  
Imaging Techniques ◽  
Three Dimensional ◽  
Resonance Imaging ◽  
X Ray ◽  
Machine Learning Model ◽  
Tomography Scan

Abstract Imaging techniques such as X-ray, computerized tomography scan and magnetic resonance imaging are useful in the correct diagnosis of a disease or deformity in the organ. Two-dimensional imaging techniques such as X-ray give a clear picture of simple bone deformity but fail in visualizing multiple fractures in a bone. Moreover, these lack in providing a multi-angle view of a bone. Three-dimensional techniques such as computerized tomography scan and magnetic resonance imaging present a correct orientation of fracture geometry. Computerized tomography scan is a collection of multiple slices of an image. These slices provide a fair idea about a fracture but fail in the measurement of correct dimensions of a fractured fragment and to observe its geometry. It also exposes a patient with carcinogenic radiations. Magnetic resonance imaging induces a strong magnetic field. So, it becomes ineffective for organs containing metallic implants. The high cost of three-dimensional imaging techniques makes them inaccessible for economic weaker section of society. The limitations of two- and three-dimensional imaging techniques motivate researchers to propose an innovative machine learning model ‘CT slices to $3$-D convertor’ that accepts multiple slices of an image and yields a multi-dimensional view at all possible angles from 0 degree to 360 degree for an input image.

Assessment of myometrial invasion in endometrial cancer using three-dimensional ultrasound and magnetic resonance imaging

2015 ◽  
Vol 95 (1) ◽  
pp. 55-64 ◽  
Author(s):  
Julie W. Christensen ◽  
Margit Dueholm ◽  
Estrid S. Hansen ◽  
Edward Marinovskij ◽  
Erik Lundorf ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Endometrial Cancer ◽  
Magnetic Resonance ◽  
Three Dimensional ◽  
Myometrial Invasion ◽  
Resonance Imaging
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