scholarly journals Sclerosing stromal tumor of the ovary a case series and review of literature

2021 ◽  
Author(s):  
Christof Mittermair ◽  
Teresa Margarida Cunha ◽  
Romana Urbas ◽  
Horst Koch ◽  
Rosemarie Forstner

Sclerosing stromal tumor of the ovary is a rare benign sex-cord stromal tumor that affects primarily young females. In a series of 6 patients (mean 24,6, median 19 years) findings of 6 MRIs and 1 CT were analyzed. Unilateral tumors ranging from 6 to 8 cm were found in all patients. The tumors were well encapsulated and polylobulated. The morphology was mixed solid and cystic in three and solid in 3 patients. In CT, a hypervascular tumor with centripetal enhancement was seen. In MRI T2WI showed low signal intensity of the solid tissue in all cases and low DWI signal of the solid tissue in high b value DWI in 3 patients. Contrast enhancement was avid with extension from the periphery in all patients. Knowledge of these distinct radiological features of sclerosing stromal tumor is important, as in the O-RADS risk classification system this may be scored as O-RADS 5. Because of its non-aggressive clinical course, preoperative imaging assists to avoid unnecessary extensive surgery and to preserve the patient’s fertility by only resecting the tumor and preserving the ovary. Sclerosing stromal tumor of the ovary presents pathognomonic features in MRI that allow a specific preoperative diagnosis and selecting candidates for fertility-sparing surgery.

2017 ◽  
Vol 99 (6) ◽  
pp. e165-e171 ◽  
Author(s):  
JM Ali ◽  
A Ali ◽  
M Van Leuven ◽  
WR Bartosik

A small proportion of tumours can undergo malignant transformation. We report a case series of five patients diagnosed with giant solitary fibrous tumours of the pleura. These cases highlight the unpredictable nature of this disease process, with significant variability in clinical course observed, from indolence to aggressive progression. Three patients were found to have malignant disease on explant, with two of these having preoperative imaging and histology suggesting benign pathology. This finding emphasises that accurately differentiating between benign and malignant disease on imaging and/or biopsy has low specificity and sensitivity and cannot be relied upon in guiding the management of these tumours. Patients with solitary fibrous tumours of the pleura should be managed cautiously, owing to the unpredictable and potentially aggressive clinical course. We would advocate the position that all patients with solitary fibrous tumours of the pleura should be managed as if they have malignant disease. Prolonged follow-up is required due to the risk of disease recurrence, even in patients with benign disease.


2006 ◽  
Vol preprint (2007) ◽  
pp. 1
Author(s):  
Odette Hall ◽  
Judy Pascasio ◽  
Jennifer Morrissette ◽  
Christopher Newton ◽  
Marshall Schwartz ◽  
...  

Diagnostics ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 739
Author(s):  
Alessandro Bevilacqua ◽  
Margherita Mottola ◽  
Fabio Ferroni ◽  
Alice Rossi ◽  
Giampaolo Gavelli ◽  
...  

Predicting clinically significant prostate cancer (csPCa) is crucial in PCa management. 3T-magnetic resonance (MR) systems may have a novel role in quantitative imaging and early csPCa prediction, accordingly. In this study, we develop a radiomic model for predicting csPCa based solely on native b2000 diffusion weighted imaging (DWIb2000) and debate the effectiveness of apparent diffusion coefficient (ADC) in the same task. In total, 105 patients were retrospectively enrolled between January–November 2020, with confirmed csPCa or ncsPCa based on biopsy. DWIb2000 and ADC images acquired with a 3T-MRI were analyzed by computing 84 local first-order radiomic features (RFs). Two predictive models were built based on DWIb2000 and ADC, separately. Relevant RFs were selected through LASSO, a support vector machine (SVM) classifier was trained using repeated 3-fold cross validation (CV) and validated on a holdout set. The SVM models rely on a single couple of uncorrelated RFs (ρ < 0.15) selected through Wilcoxon rank-sum test (p ≤ 0.05) with Holm–Bonferroni correction. On the holdout set, while the ADC model yielded AUC = 0.76 (95% CI, 0.63–0.96), the DWIb2000 model reached AUC = 0.84 (95% CI, 0.63–0.90), with specificity = 75%, sensitivity = 90%, and informedness = 0.65. This study establishes the primary role of 3T-DWIb2000 in PCa quantitative analyses, whilst ADC can remain the leading sequence for detection.


2021 ◽  
Vol 34 (4) ◽  
Author(s):  
M. Muge Karaman ◽  
Jiaxuan Zhang ◽  
Karen L. Xie ◽  
Wenzhen Zhu ◽  
Xiaohong Joe Zhou

2009 ◽  
Vol 19 (7) ◽  
pp. 1794-1798 ◽  
Author(s):  
Reiji Sugita ◽  
Tetsuro Yamazaki ◽  
Akemi Furuta ◽  
Kei Itoh ◽  
Naotaka Fujita ◽  
...  

2011 ◽  
Vol 52 (10) ◽  
pp. 1155-1158 ◽  
Author(s):  
Masaaki Hori ◽  
Utaroh Motosug ◽  
Zareen Fatima ◽  
Keiichi Ishigame ◽  
Tsutomu Araki

2008 ◽  
Vol 19 (4) ◽  
pp. 270 ◽  
Author(s):  
Hyun Sik Youm ◽  
Dong Soo Cha ◽  
Kyoung Hee Han ◽  
Eun Young Park ◽  
Naomi Nahyoung Hyon ◽  
...  

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