The aim of this study is to investigate the correlation between the magnetic resonance imaging (MRI) and intraoperative ndings of deep in ltrating endometriosis using the #ENZIAN score. MethodsThis retrospective study included 64 patients who underwent surgery for deep in ltrating endometriosis between January 2017 and August 2020. Preoperative abdominopelvic MRI assessment was evaluated and scored using the #ENZIAN classi cation. Operative scores were considered the gold standard, and the sensitivity, speci city, and positive and negative predictive values (PPV and NPV) of MRI for each category were calculated. ResultsMRI has higher sensitivity and speci city in showing the lesions of the compartments O (ovarian lesions), A (rectovaginal septum and posterior vaginal fornix), and B (uterosacral ligaments and parametrium) (100-100%, 100-100%, and 97-100%, respectively, p<0.001) compared to the other compartments. The lowest sensitivity, speci city, accuracy, and PPV of the MRI was found in compartment P (14%, 76%, 70%, and 7%, respectively). ConclusionWe demonstrated that the #ENZIAN classi cation in MRI reports has signi cant sensitivity and speci city in compartments A, B (uterosacral ligaments and parametrium), and O. Furthermore, the determination of peritoneal lesions via MRI is inadequate.
Objective Shear wave elastography (SWE) is an adjunct to grayscale ultrasound examinations for evaluating breast masses. This study aimed to determine the SWE features that correlated with prognostic parameters for breast cancer. Methods Between January 2018 and May 2018, 80 patients who were confirmed to have invasive cancers by core-needle biopsy and who were scheduled for surgery were imaged using B-mode ultrasound and SWE. Measurements were taken from a region of interest positioned over the stiffest part of the peripheral zone and mass. Three measurements were taken, and the average of the mean stiffness value was used for analysis. Results The mean tumor size, elasticity value of tumors, and elasticity of the peripheral zone were 2.9 ± 1.48 cm (range, 0.6–8 cm), 154.8 ± 8.55 kPa (range, 116.25–179 kPa), and 171.34 ± 5.22 kPa (range, 150.95–182.43 kPa), respectively. The types of breast cancer included were invasive ductal carcinoma (n = 71 [88.75%]; 69 invasive ductal carcinoma not otherwise specified, 1 solid papillary carcinoma, and 1 invasive micropapillary carcinoma), invasive lobular carcinoma (n = 2 [2.5%]), mixed invasive ductal and lobular carcinoma (n = 4 [5%]), mucinous carcinoma (n = 2 [2.5%]), and metaplastic cancer (n = 1 [1.25%]). A strong correlation was found between mean elasticity values and tumor grade (P = 0.018) and between mean elasticity values and lymphovascular invasion (LVI) positivity (P = 0.008). There were no significant differences between SWE values and tumor diameter or between histological tumor characteristics and SWE. Conclusions We found that some clinicohistopathologic features of poor prognosis had higher elasticity values than those of favorable prognosis.
Background: Through Diffusion Weighted Imaging (DWI), information related to early molecular changes, changes in the permeability of cell membranes, and early morphologic and physiologic changes such as cell swelling can be obtained. Aims: We investigated the correlation between the prognostic factors of breast cancer and apparent diffusion coefficient (ADC) in DWI sequences of malignant lesions. Study Design: Retrospective cross-sectional study. Methods: Patients who were referred to our clinic between September 2012 and September 2013, who underwent dynamic breast MRI before or after biopsy and whose biopsy results were determined as malignant, were included in our study. Before the dynamic analysis, DWI sequences were taken. ADC relationship with all prognostic factors was investigated. Pearson correlation test was used to compare the numerical data, while Spearman correlation and Fisher exact tests were used to compare the categorical data. The advanced relationships were evaluated with linear regression analysis and univariate analysis. The efficiency of the parameters was evaluated using ROC analysis. The significance level (P) was accepted as 0.05. Results: In total, 41 female patients with an average age of 49.4 years (age interval 21-77) and 44 lesions were included into the study. In the Pearson correlation test, no statistically significant difference was determined between ADC and the patient's age and tumor size. In the Spearman correlation test, a statistically significant difference was determined between nuclear grade (NG) and ADC (r=-0.424, p=0.04); no statistically significant correlation was observed between the other prognostic factors with each other and ADC values. In the linear regression analysis, the relationship of NG with ADC was found to be more significant alone than when comparing all parameters (corrected r2=0.196, p=0.005). Further evaluations between the NG and ADC correlation were carried out with ROC analysis. A statistically significant difference was determined when NG 1 separately was compared with NG 2 and 3 (p=0.03). A statistically significant difference was also determined (p=0.05) in the comparison of NG 1 with only NG 3. No statistically significant difference was determined when NG 2 separately was compared with NG 1 and NG 3 and when NG 3 separately was compared with NG 1 and 2 (p=0.431, p=0.097), Conclusion: We found that ADC values obtained by breast DWI showed a higher correlation with the NG of breast cancer, which is an important factor in the patient's treatment. Predictions can be made about NG by analyzing the ADC values. Additional studies are needed, however, and the ADC value of the lesion can be used as a prognostic factor proving the aggressiveness.
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