A retrospective study of the epidemiology and histological subtypes of ovarian epithelial neoplasms at Charlotte Maxeke Johannesburg Academic Hospital

Pillay, Lusela; Wadee, Reubina

doi:10.1080/20742835.2021.1962084

Cited by 4 publications

(2 citation statements)

References 48 publications

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“…Almost half of the ovarian cancer patients in this study had an early-stage disease at the time of diagnosis. Consistent with previous studies [ 20 , 21 , 22 ], we found that most patients with early-stage ovarian cancer were classified as EOC (87.88%). However, the most common histology type in our cohort was the mucinous subtype (58.62%).…”

Section: Discussionsupporting

confidence: 92%

Clinical Performance of a Multivariate Index Assay in Detecting Early-Stage Ovarian Cancer in Filipino Women

Velayo

Reforma

Sicam

et al. 2022

IJERPH

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This study evaluated the clinical performance and overall utility of a multivariate index assay in detecting early-stage ovarian cancer in a Filipino population. This is a prospective cohort study among Filipino women undergoing assessment for an ovarian mass in a tertiary center. Patients diagnosed with early-stage ovarian cancer and who underwent a physical examination before level III specialist ultrasonographic and Doppler evaluation, multivariate index assay (MIA2G), and surgery for an adnexal mass were included in this study. Ovarian tumors were classified as high-risk for malignancy based on the IOTA-LR2 score. The ovarian imaging and biomarker results were correlated with the reference standard: surgico-pathologic findings. The MIA2G exhibited the best overall performance among individual classifiers with a sensitivity of 91.7% and NPV of 84.7%, with a concomitant higher sensitivity in early-stage disease, whether as an individual classifier (93.5%) or in serial combination with ultrasound (85.5%). The performance of biomarkers (specificity, positive predictive values, and AUROC) such as MIA2G and CA-125 significantly improved when combined with an ultrasound risk scoring approach (p < 0.01). MIA2G showed a higher sensitivity for detecting lesions among EOC and late-stage ovarian cancers than otherwise. The application of biomarkers for evaluating ovarian masses in our local setting is secondary to ultrasound but adopting multivariate index assays rather than CA-125 would increase the detection of early-stage ovarian cancers regardless of menopausal status. This is most relevant in areas where level III sonographers or gynecologic oncologists are limited and preoperative referrals to these specialists can improve the survival of our patients.

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Section: Discussionsupporting

confidence: 92%

Clinical Performance of a Multivariate Index Assay in Detecting Early-Stage Ovarian Cancer in Filipino Women

Velayo

Reforma

Sicam

et al. 2022

IJERPH

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“…Most of the study revealed the different age distribution of gynecological cancers. 1,7,8 In this study, Majority of cervical cancer patients diagnosed between 35 years and 64 years. At NICRH, cervical cancer peaked at 50 years.…”

Section: Resultsmentioning

confidence: 99%

Clinical Audit of Gynecological Cancers at National Institute of Cancer Research and Hospital, Dhaka, Bangladesh

Haque,

Pervin,

Ara

et al. 2024

J. Bangladesh Coll. Phys.

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The aim of this audit was to assess the trend of the gynecological cancers for the year of 2022. This is an observational study on retrospectively collected data of gynecological cancer patients at National Institute of Cancer Research and Hospital (NICRH), Dhaka. All cases of cancer seen at the gynecology outpatient department and cases admitted in the gynecological oncology ward at NICRH, between the months of January to December 2022 were audited. The results shown that about 5.8% of all the new cases were young women aged below 25 years. The majority of gynecological cancers were among women aged between 35 and 64 years (73.17%) and only 2.6% patients were aged above 75 years. Cervical cancer (59%) was the leading gynecological cancer among all female cancers attended at NICRH. In ovarian malignancy, most of the patients(61%) had stage lll disease and no patient in stage IV diseases. Due to improper evaluation of abnormal uterine bleeding, majority of the endometrial carcinoma patients (64%) presented with histopathology reports after hysterectomy. This study might help to get a in depth understanding of the trend of major gynecological cancers. J Bangladesh Coll Phys Surg 2024; 42: 43-48

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Identification of serous ovarian tumors based on polarization imaging and correlation analysis with clinicopathological features

Huang¹,

Hou²,

Wang³

et al. 2022

J. Innov. Opt. Health Sci.

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Ovarian cancer is one of the most aggressive and heterogeneous female tumors in the world, and serous ovarian cancer (SOC) is of particular concern for being the leading cause of ovarian cancer death. Due to its clinical and biological complexities, ovarian cancer is still considered one of the most difficult tumors to diagnose and manage. In this study, three datasets were assembled, including 30 cases of serous cystadenoma (SCA), 30 cases of serous borderline tumor (SBT), and 45 cases of serous adenocarcinoma (SAC). Mueller matrix microscopy is used to obtain the polarimetry basis parameters (PBPs) of each case, combined with a machine learning (ML) model to derive the polarimetry feature parameters (PFPs) for distinguishing serous ovarian tumor (SOT). The correlation between the mean values of PBPs and the clinicopathological features of serous ovarian cancer was analyzed. The accuracies of PFPs obtained from three types of SOT for identifying dichotomous groups (SCA versus SAC, SCA versus SBT, and SBT versus SAC) were 0.91, 0.92, and 0.8, respectively. The accuracy of PFP for identifying triadic groups (SCA versus SBT versus SAC) was 0.75. Correlation analysis between PBPs and the clinicopathological features of SOC was performed. There were correlations between some PBPs ([Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text], rqcross, [Formula: see text], [Formula: see text], [Formula: see text], and [Formula: see text]) and clinicopathological features, including the International Federation of Gynecology and Obstetrics (FIGO) stage, pathological grading, preoperative ascites, malignant ascites, and peritoneal implantation. The research showed that PFPs extracted from polarization images have potential applications in quantitatively differentiating the SOTs. These polarimetry basis parameters related to the clinicopathological features of SOC can be used as prognostic factors.

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A retrospective study of the epidemiology and histological subtypes of ovarian epithelial neoplasms at Charlotte Maxeke Johannesburg Academic Hospital

Cited by 4 publications

References 48 publications

Clinical Performance of a Multivariate Index Assay in Detecting Early-Stage Ovarian Cancer in Filipino Women

Clinical Performance of a Multivariate Index Assay in Detecting Early-Stage Ovarian Cancer in Filipino Women

Clinical Audit of Gynecological Cancers at National Institute of Cancer Research and Hospital, Dhaka, Bangladesh

Identification of serous ovarian tumors based on polarization imaging and correlation analysis with clinicopathological features

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