Benign and Borderline Tumors of the Lungs and Pleura

Author(s):  
Mark R. Wick ◽  
Stacey E. Mills
2010 ◽  
Vol 29 (2) ◽  
pp. 108-112 ◽  
Author(s):  
Andres G. Chiesa ◽  
Michael T. Deavers ◽  
Emanuela Veras ◽  
Elvio G. Silva ◽  
David Gershenson ◽  
...  

2005 ◽  
Vol 184 (3) ◽  
pp. 999-1003 ◽  
Author(s):  
Nandita M. deSouza ◽  
Richard O'Neill ◽  
G. Angus McIndoe ◽  
Roberto Dina ◽  
W. Patrick Soutter

2010 ◽  
Vol 18 (1) ◽  
pp. 40-48 ◽  
Author(s):  
Martin Koskas ◽  
Catherine Uzan ◽  
Sebastien Gouy ◽  
Patricia Pautier ◽  
Catherine Lhommé ◽  
...  

Author(s):  
AA Gerasimova ◽  
LA Asyrafyan ◽  
IB Manuchin ◽  
MV Shamarakova ◽  
MS Miryasova ◽  
...  

Currently, surgical treatment aimed to exclude the malignant ovarian tumors is performed in almost 90% of patients with decidualized endometrial cysts (DEC). However, unnecessary surgical interventions increase the risk to maternal and fetal health. The study was aimed to perform a differential diagnosis of DEC in pregnant women in order to define the rational treatment. A total of 82 female patients were included in the study: 63 had endometrial cysts (EC), 16 had DEC, 3 had rare forms of endometriosis, and 10 had ovarian serous papillary borderline tumors. When performing the diagnostic ultrasound, our proposed model was used. The ultrasound imaging data obtained were juxtaposed with the concentration of the protein tumor markers (СА-125), the risk of malignancy index (RMI) was calculated, and the morphological assessment of the masses was performed. The ultrasound imaging parameters, being the most valuable for differential diagnosis of EC, DEC, and serous borderline tumors, were as follows: the altered mass wall thickness, the existence and shape of papillary masses, avascular echogenic inclusions with blurry contour, blood circulation and arrangement of blood vessels, ascites. The frequency analysis revealed the differences between groups based on the ultrasound imaging data (in 60–100% of observations). Histological examination revealed the differences between groups in 100% of observations. Our findings have made it impossible to prolong pregnancy in patients with DEC without performing surgery. The results of treatment provided to patients with DEC during pregnancy were worse compared to those in patients with no prominent decidualization in ovarian EC. Today, the diagnosis of DEC and the treatment of patients during pregnancy remain unsophisticated. Further clinical observation and the search for more reliable methods of the diagnosis and rational treatment of pregnant women with DEC are required.


2021 ◽  
Author(s):  
Xuefen Liu ◽  
Tianping Wang ◽  
Guofu Zhang ◽  
Keqin Hua ◽  
Hua Jiang ◽  
...  

Abstract Background: Accurate discrimination between ovarian borderline tumors (BOTs) and malignancies with imaging play an important role in management.Purpose: To evaluate the ability of T2-weighted imaging (T2WI)-based radiomics to discriminate ovarian borderline tumors (BOTs) from malignancies based on two-dimensional (2D) and three-dimensional (3D) lesion segmentation methods.Methods: A total of 95 patients with pathologically proven ovarian BOTs and 101 patients with malignancies were retrospectively included in this study. We evaluated the diagnostic performance of the signatures derived from T2WI-based radiomics in their ability to differentiate between BOTs and malignancies and compared the performance differences in the 2D and 3D segmentation models. The least absolute shrinkage and selection operator method (LASSO) was used for radiomics feature selection and machine learning processing.Results: The radiomics score between BOTs and malignancies in four types of selected T2WI-based radiomics models differed significantly at the statistical level (p < 0.0001). For the classification between BOTs and malignant masses, the 2D and 3D coronal T2WI-based radiomics models yielded accuracy values of 0.79 and 0.83 in the testing group, respectively; the 2D and 3D sagittal fat-suppressed (fs) T2WI-based radiomics models yielded an accuracy of 0.78 and 0.99, respectively.Conclusion: Our results suggest that T2WI-based radiomic features were highly correlated with ovarian tumor subtype classification. 3D-sagittal MRI radiomics features may help clinicians differentiate ovarian BOTs from malignancies with high accuracy (ACC).


2021 ◽  
Vol 76 (7) ◽  
pp. 408-410
Author(s):  
Mandy Spaan ◽  
Alexandra W. van den Belt-Dusebout ◽  
Cornelis B. Lambalk ◽  
Hester H. van Boven ◽  
Roel Schats ◽  
...  

2007 ◽  
Vol 86 (5) ◽  
pp. 620-626 ◽  
Author(s):  
Elin Ødegaard ◽  
Anne Cathrine Staff ◽  
Anton Langebrekke ◽  
Vibeke Engh ◽  
Mathias Onsrud

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