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کاربرد نوع شرط:
- جایگاه : پژوهشی
- مجله: Asian Pacific Journal of Cancer Prevention
- نوع مقاله: Journal Article
- کلمات کلیدی: Quality of Life,gynecological cancer,Women’s health, EORTC QLQ-C30, HADS
- چکیده:
- چکیده انگلیسی: Introduction: Gynecological cancers are common in adult women. One of the most important goals in the management of these patients is to improve quality of life, along with survival as a traditional outcome. The aim of this study was to evaluate quality of life in gynecological cancers in Iran. Methods: This cross-sectional study was performed on a sample of patients with gynecological cancers including uterine, ovarian, cervical, and vulvovaginal attending a teaching hospital affiliated to Tehran University of Medical Sciences between 2014 and 2019. The data was collected by a web-based platform with validated self-administered questionnaires including demographic information, the EORTC QLQ-C30 and the Hospital Anxiety and Depression (HADS). The data were analyzed using appropriate tests. Results: In all 251 patients were studied. The mean age of patients was 52.8±12.4 years and 43% had uterine, 30% had ovarian, 25% had cervical, and 2% had vulvovaginal cancer. The mean global quality of life score as measured by the EORTC QLQ-C30 was 59.8 ± 24.9. Women with ovarian cancer had the highest and women with cervical cancer had the lowest global quality of life score. There were significant differences in emotional, cognitive and global quality of life by cancer diagnosis (p <0.05). Although not significant, overall physical, role, cognitive and social functioning was found to be better in women who had been treated with surgery. The mean anxiety and depression score were 8.7± 5.0 and 7.1 ± 5.2, respectively. Conclusion: The results demonstrated that patients with gynecological cancers had a low quality of life, and experience higher anxiety and depression.
- انتشار مقاله: 25-09-1398
- نویسندگان: Elham Shirali,Fariba Yarandi,Marjan Ghaemi,Ali Montazeri
- مشاهده
- جایگاه : پژوهشی
- مجله: Asian Pacific Journal of Cancer Prevention
- نوع مقاله: Journal Article
- کلمات کلیدی: Complex adnexal mass,dynamic contrast-enhanced MRI,Pharmacokinetic modeling,Semi-quantitative analysis
- چکیده:
- چکیده انگلیسی: Background: To evaluate the utility of the pharmacokinetic modeling derived from dynamic contrast-enhanced
magnetic resonance imaging (DCE-MRI) in differentiating benign from malignant adnexal masses. Methods: A total of
43 patients with 49 complex adnexal masses (27 benign, 3 borderline, and 19 malignant lesions) underwent preoperative
DCE-MRI examinations on a 3 Tesla MRI. Using extended Tofts’ model, quantitative analysis was performed in the
solid components of all tumors. Three pharmacokinetic parameters were defined as volume transfer coefficient (Ktrans),
the rate constant (Kep), and the plasma volume (Vp). Semi-quantitative analysis was also performed and the values
of relative signal intensity (SI rel) wash-in-rate (WIR), the initial area under the curve (iAUC60), time-to-peak (TTP)
and wash-out-rate (WOR) were calculated. Receiver operating characteristic (ROC) curve analysis was performed to
evaluate diagnostic characteristics of each DCE-MRI parameter in differentiating borderline/malignant tumors from
benign lesions and to provide the optimal cutoff values for these variables. Results: SI rel had the highest diagnostic value
(AUC=0.872; p<0.001; cut-off=121.4 associated with an overall accuracy=79.6%, sensitivity=95.5%, specificity=66.7%,
NPV=94.8% and PPV=70.0%). Ktrans had the second highest AUC=0.836 (p<0.001; cut-off=0.034 associated with an
overall accuracy=79.6%, sensitivity=86.4%, specificity=74.1%, NPV=87.0% and PPV=73.1%). The other factors found
to be acceptable diagnostic parameters for borderline/malignant lesions included WIR (AUC=0.816; p<0.001), iAUC60
(AUC=0.808; p<0.001), Vp (AUC=0.795; p<0.001), SI max (AUC=0.737, p=0.005), SI peak (AUC=0.737; p=0.005)
and Kep (AUC=0.681; p=0.031). Conclusion: Quantitative DCE-MRI is a relevant tool for differentiating benign from
malignant adnexal masses. Among all the DCE parameters, SI rel and Ktrans are the most accurate discriminators.- انتشار مقاله: 23-04-1397
- نویسندگان: Masoumeh Gity,Sara Parviz,Hamidreza Saligheh Rad,Anahita Fathi Kazerooni,Elham Shirali,Madjid Shakiba,Masoud Baikpour
- مشاهده