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1.
Acta Oncol ; 62(5): 451-457, 2023 May.
Article in English | MEDLINE | ID: mdl-37129994

ABSTRACT

BACKGROUND: We primarily aimed to determine whether the presence of enlarged cardiophrenic lymph nodes (CPLNs), visualized by computed tomography (CT), and CA-125 can be used to assess diaphragmatic carcinomatosis and residual disease (RD) in advanced ovarian cancer (AOC) patients treated with upfront surgery. The secondary aim was to determine the prognostic role of CT-CPLNs in overall survival (OS). MATERIAL AND METHODS: A single-center, retrospective, population-based study was conducted of patients who underwent surgery for AOC from January 1, 2014-December 31, 2018. Suspicious CT-CPLNs were defined as having a short axis ≥5 mm. The median survival and rate of survival were calculated with the Kaplan-Meier method using multivariate Cox regression analyses, including comparisons of complete cytoreductive surgery (CCS; defined as the complete removal of all intra-abdominal tumor) versus noncomplete cytoreductive surgery (non-CCS) and analyses related to CT-CPLN status and preoperative CA-125 values. RESULTS: We included 208 patients. CT-CPLNs correlated with both diaphragmatic carcinomatosis (OR 3.59, 95% CI 1.81-7.16, p < 0.01) and RD (OR 2.54, 95% CI 1.38-4.6, p = 0.003). When CCS was achieved, no differences in survival between patients with suspicious or nonsuspicious CT-CPLNs were found. The relationships between CA-125 ≥ 500 U/ml and diaphragmatic carcinomatosis (OR 3.51, 95% CI 1.86-6.64, p < 0.01) and RD (OR 2.41, 95% CI 1.33-4.38, p = 0.004) were positive. All data were adjusted for age and ECOG performance status. Survival analyses were also adjusted for RD. CONCLUSION: Enlarged CPLNs on CT scans and CA-125 levels correlate with diaphragmatic carcinomatosis and RD at the end of the surgery. The strongest prognostic factor for OS remains CCS, regardless of the CT-CPLN status.


Subject(s)
Ovarian Neoplasms , Female , Humans , Carcinoma, Ovarian Epithelial/pathology , Lymph Nodes/diagnostic imaging , Lymph Nodes/surgery , Lymph Nodes/pathology , Neoplasm Staging , Ovarian Neoplasms/diagnostic imaging , Ovarian Neoplasms/surgery , Retrospective Studies , Treatment Outcome , CA-125 Antigen/metabolism
2.
Arch Gynecol Obstet ; 306(4): 1235-1243, 2022 10.
Article in English | MEDLINE | ID: mdl-35235024

ABSTRACT

PURPOSE: Epithelial ovarian cancer is usually diagnosed in the advanced stages. To choose the best therapeutic approach, an accurate preoperative assessment of the tumour extent is crucial. This study aimed to determine whether the peritoneal cancer index (PCI), the amount of ascites, and the presence of cardiophrenic nodes (CPLNs) visualized by computed tomography (CT) can assess the tumour extent (S-PCI) and residual disease (RD) for advanced ovarian cancer (AOC) patients treated with upfront surgery. METHODS: In total, 118 AOC cases were included between January 2016 and December 2018 at Skåne University Hospital, Lund, Sweden. Linear regression and interclass correlation (ICC) analyses were used to determine the relationship between CT-PCI and S-PCI. The patients were stratified in complete cytoreductive surgery (CCS) with no RD or to non-CCS with RD of any size. The amount of ascites on CT (CT-ascites), CA-125 and the presence of radiological enlarged CPLNs (CT-CPLN) were analysed to evaluate their impact on estimating RD. RESULTS: CT-PCI correlated well with S-PCI (0.397; 95% CI 0.252-0.541; p < 0.001). The risk of RD was also related to CT-PCI (OR 1.069 (1.009-1.131), p < 0.023) with a cut-off of 21 for CT-PCI (0.715, p = 0.000). The sensitivity, specificity, positive predictive value and negative predictive value were 58.5, 70.3, 52.2 and 75.4%, respectively. CT-ascites above 1000 ml predicted RD (OR 3.510 (1.298-9.491) p < 0.013). CONCLUSION: CT is a reliable tool to assess the extent of the disease in advanced ovarian cancer. Higher CT-PCI scores and large volumes of ascites estimated on CT predicted RD of any size.


Subject(s)
Ascites , Ovarian Neoplasms , Ascites/diagnostic imaging , Ascites/etiology , Ascites/pathology , Carcinoma, Ovarian Epithelial/diagnostic imaging , Carcinoma, Ovarian Epithelial/pathology , Carcinoma, Ovarian Epithelial/surgery , Female , Humans , Neoplasm Staging , Neoplasm, Residual/diagnostic imaging , Neoplasm, Residual/pathology , Ovarian Neoplasms/diagnostic imaging , Ovarian Neoplasms/pathology , Ovarian Neoplasms/surgery , Retrospective Studies , Tomography, X-Ray Computed/methods
3.
Gynecol Oncol ; 128(3): 449-53, 2013 Mar.
Article in English | MEDLINE | ID: mdl-23022593

ABSTRACT

OBJECTIVE: To compare the diagnostic accuracy of ultrasound (US) and magnetic resonance imaging (MRI) in the preoperative assessment of early-stage cervical cancer using pathologic findings as the reference standard. PATIENTS AND METHODS: Prospective multi-center trial enrolling 209 consecutive women with early-stage cervical cancer (FIGO IA2-IIA) scheduled for surgery. The following parameters were assessed on US and MRI and compared to pathology: remaining tumor, size, tumor stromal invasion<2/3 (superficial) or ≥2/3 (deep), and parametrial invasion. RESULTS: Complete data were available for 182 patients. The agreement between US and pathology was excellent for detecting tumors, correctly classifying bulky tumors (>4cm), and detecting deep stromal invasion (kappa values 0.84, 0.82, and 0.81 respectively); and good for classifying small tumors (<2cm) and detecting parametrial invasion (kappa values 0.78 and 0.75, respectively). The agreement between MRI and histology was good for classifying tumors as <2cm, or >4cm, and detecting deep stromal invasion (kappa values 0.71, 0.76, and 0.77, respectively). It was moderately accurate in tumor detection, and in assessing parametrial invasion (kappa values 0.52 and 0.45, respectively). The agreement between histology and US was significantly better in assessing residual tumor (p<0.001) and parametrial invasion (p<0.001) than the results obtained by MRI. Imaging methods were not significantly influenced by previous cone biopsy. CONCLUSION: US and MRI are highly accurate for the preoperative assessment of women with early-stage cervical cancer, although US may be more accurate in detecting residual tumors and assessing parametrial invasion.


Subject(s)
Magnetic Resonance Imaging/methods , Uterine Cervical Neoplasms/diagnostic imaging , Uterine Cervical Neoplasms/pathology , Europe , Female , Humans , Middle Aged , Neoplasm Staging , Prospective Studies , Ultrasonography , Uterine Cervical Neoplasms/surgery
4.
Soc Sci Med ; 56(12): 2493-503, 2003 Jun.
Article in English | MEDLINE | ID: mdl-12742612

ABSTRACT

There is scant knowledge of the effects of country of birth on the health of individuals in the years prior to and after retirement. The aim of this study was to consider country of birth in relation to health status, instrumental activities of daily living (IADL) and all-cause mortality when adjusted for socioeconomic status (SES). Cross-sectional data were collected between 1986 and 1991 on 8959 individuals between the ages of 55 and 74. Self-reported data were analysed using a logistic regression model while the mortality data were analysed by means of a proportional hazard model. In the present study, immigrants from Southern Europe, Eastern Europe and Finland carried significantly increased risks of poor health even after adjustment for SES. Southern Europeans, refugees from Developing countries and Finns exhibited an increased risk of impaired IADL compared to Swedes, even after adjustment for SES. In conclusion, country of birth was associated with poor health status and impaired IADL. This association remained after adjustment for SES. In accordance with pre-study expectations, mortality was predicted by impaired IADL and male gender. Country of birth was not associated with all-cause mortality.


Subject(s)
Activities of Daily Living/classification , Attitude to Health , Emigration and Immigration/classification , Health Status Indicators , Self-Assessment , Aged , Cross-Sectional Studies , Developing Countries , Educational Status , Emigration and Immigration/statistics & numerical data , Europe/ethnology , Female , Finland/ethnology , Humans , Logistic Models , Male , Middle Aged , Mortality , Proportional Hazards Models , Residence Characteristics/classification , Social Support , Sweden/epidemiology
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