Hyeong In Ha

Development of an Automatic Rule-Based Algorithm for the Detection of Ovarian Cancer Recurrence From Electronic Health Records

PURPOSE As the onset of cancer recurrence is not explicitly recorded in the electronic health record (EHR), a high volume of manual chart review is required to detect the cancer recurrence. This study aims to develop an automatic rule-based algorithm for detecting ovarian cancer (OC) recurrence on the basis of minimally preprocessed EHR data. METHODS The automatic rule-based recurrence detection algorithm (Auto-Recur), using notes on image reading (positron emission tomography-computed tomography [PET-CT], CT, magnetic resonance imaging [MRI]), biomarker (CA125), and treatment information (surgery, chemotherapy, radiotherapy), was developed to detect the first OC recurrence. Auto-Recur contains three single algorithms (images, biomarkers, treatments) and hybrid algorithms (combinations of the single algorithms). The performance of Auto-Recur was assessed using sensitivity, specificity, and accuracy of the recurrence time detected. The recurrence-free survival probabilities were estimated and compared with the retrospective chart review results. RESULTS The proposed Auto-Recur considerably reduced human resources and time; it saved approximately 1,340 days when scaled to 100,000 patients compared with the conventional retrospective chart review. The hybrid algorithm on the basis of a combination of image, biomarker, and treatment information was the most efficient (sensitivity: 93.4%, specificity: 97.4%) and precisely captured recurrence time (average time error: 8.5 days). The estimated 3-year recurrence-free survival probability (44%) was close to the estimates by the retrospective chart review (45%, log-rank P value = .894). CONCLUSION Our rule-based algorithm effectively captured the first OC recurrence from large-scale EHR while closely approximating the recurrence-free survival estimates obtained by conventional retrospective chart reviews. The study findings facilitate large-scale EHR analysis, enhancing clinical research opportunities.

Incidence and treatment outcomes of ovarian carcinosarcoma from the national cancer registry of Korea

To investigate the incidence and survival outcomes of ovarian carcinosarcoma in Korea between 1999 and 2018. Patients diagnosed with ovarian carcinosarcoma between 1999 and 2018 were identified from the Korea Central Cancer Registry (KCCR) and their information was collected. Age-standardized incidence rates (ASRs), annual percent changes (APC), and relative survival rates of ovarian carcinosarcoma were calculated and compared to those of epithelial ovarian cancer. According to the KCCR, 458 cases of ovarian carcinosarcoma were detected, and accounted for 1.5% (458/30,679) of all epithelial ovarian cancers in Korea between 1999 and 2018. The ASR of ovarian carcinosarcoma between 1999 and 2018 was 0.064 per 100,000 women. The incidence rate of ovarian carcinosarcoma increased during the study period, with an ASR of 0.029 per 100,000 in 1999 and 0.073 per 100,000 in 2018. The APC of ovarian carcinosarcoma during 1999-2018 was 5.86 (p<0.001). The median overall survival (OS) of patients with ovarian carcinosarcoma was 39 months, and the 5-year OS rate was 42.5%. Among ovarian carcinosarcomas, patients with localized stages showed better clinical outcomes than those with regional or distant stages (5-year OS, 60.8%, 57.9%, and 32.8%, respectively; p<0.001). In addition, younger (<50 years) patients showed better OS than older (≥50 years) patients (5-year OS, 52.6% vs. 40.2%; p<0.001). Our nationwide registry-based study demonstrated that the incidence of ovarian carcinosarcoma increased from 1999 to 2018 in Korea. Patients with advanced-stage disease and older age (≥50 years) had poorer survival outcomes.

Trends in the incidence and survival outcomes of endometrial cancer in Korea: a nationwide population-based cohort study

To evaluate trends in the incidence and survival outcomes of endometrial cancer (EC) based on the year of diagnosis, stage, age, and histologic types. Women with primary EC diagnosed between 1999 and 2018, and who were followed up with until 2019, were identified from the Korea Central Cancer Registry using the International Classification of Diseases, 10th revision. The age-standardized rates (ASRs) of incidence, annual percent changes (APCs), and survival were estimated according to age, stage, histology, and year of diagnosis. The ASR for EC increased from 2.38 per 100,000 in 1999 to 7.29 per 100,000 in 2018 across all histologic types (APCs of 9.82, 15.97, and 7.73 for endometrioid, serous, and clear cell, respectively, p<0.001). There were significant differences in the 5-year survival rates based on histology (90.9%, 55.0%, and 68.5% for endometrioid, serous, and clear cell, respectively, p<0.001), stage (93.4%, 77.0%, and 31.0% for localized, regional, and distant, respectively, p<0.001), and age (93.0% for <50 years and 80.6% for ≥50 years, p<0.001). The 5-year survival was significantly better in the group diagnosed between 2000 and 2018 (85.9%) than that in the 1999-2008 group (83.3%) (p<0.001). This trend was only observed for endometrioid cancer (p<0.001). The incidence of EC increased across the all 3 subtypes. Survival of patients with endometrioid histology improved over the past two decades, but remained static for serous or clear cell histology. Healthcare strategies to prevent EC incidence in at-risk populations and apply effective treatments for high-risk histology are needed.

Reclassification of BRCA1 and BRCA2 variants found in ovarian epithelial, fallopian tube, and primary peritoneal cancers

We investigated the proportions of and reclassified Data from 805 patients who underwent genetic testing for A Approximately 33.3% (36/108) of the specific

Cause-specific mortality rate of ovarian cancer in the presence of competing risks of death: a nationwide population-based cohort study

This nationwide cohort study aimed to evaluate the cause-specific mortality (probability of death by ovarian cancer, probability of death by other causes) under the competing risks of death in women with ovarian cancer. The Korea Central Cancer Registry was searched to identify women with primary ovarian cancer diagnosed between 2006 and 2016. Epithelial ovarian cancer cases were identified using the International Classification of Diseases for Oncology 3rd edition. We estimated the cause-specific mortality according to age (<65 years, ≥65 years), stage (local, regional, and distant), and histology (serous, mucinous, endometrioid, clear cell, and others) under the competing risks framework; moreover, cumulative incidences were estimated. We included 21,446 cases. Cause-specific mortality continuously increased throughout 10 year follow-up. Compared with women aged <65 years, ovarian cancer-specific mortality (5-year, 28.9% vs. 61.9%; 10-year, 39.0% vs. 68.6%, p<0.001) and other cause mortality (5-year, 1.7% vs. 4.8%; 10-year, 2.8% vs. 8.2%, p<0.001) increased in women aged ≥65 years. This trend was consistent across all the stages and histological types. There was a substantial increase in competing risks from 1.1% in women aged <65 years to 8.0% in women aged ≥65 years in patients with early-stage (p<0.001) non-serous ovarian cancer (p<0.001). Older age at diagnosis is associated with increasing ovarian cancer-specific mortality and competing risks. Given the substantial effect of competing risks on elderly patients, there is a need for assessment tools to balance the beneficial and harmful effects to provide optimal treatment.

Quality of life outcomes from the randomized trial of hyperthermic intraperitoneal chemotherapy following cytoreductive surgery for primary ovarian cancer (KOV-HIPEC-01)

To investigate the health-related quality of life (HRQOL) related to hyperthermic intraperitoneal chemotherapy (HIPEC) following primary or interval cytoreductive surgery for primary ovarian cancer. Between 2010 and 2016, a total of 184 patients were randomly assigned to receive cytoreductive surgery with HIPEC (n=92) or without HIPEC (n=92). Quality of life (QOL) assessment was evaluated at baseline (before surgery); on postoperative day 7; after the 3rd and 6th cycle of adjuvant chemotherapy; and at 3, 6, 9, and 12 months after randomization. Patient-reported QOL was assessed using the European Organization for Research and Treatment of Cancer (EORTC) core questionnaire (EORTC-QLQ-C30), ovarian cancer questionnaire modules (QLQ-OV28), and the MD Anderson Symptoms Inventory (MDASI). Of the 184 patients enrolled, 165 (83/92 in the HIPEC group and 82/92 in the control group) participated in the baseline QOL assessment. There were no statistically significant differences in functional scales and symptom scales in QLQ-C30; symptom scales, including gastrointestinal symptoms QLQ-OV28; and severity and impact score in MDASI between the 2 treatment groups until 12 months after randomization. HIPEC with cytoreductive surgery showed no statistically significant difference in HRQOL outcomes. Thus, implementation of HIPEC during either primary or interval cytoreductive surgery does not impair HRQOL. ClinicalTrials.gov Identifier: NCT01091636.

Secondary Cytoreductive Surgery in Platinum-Sensitive Recurrent Ovarian Cancer: A Meta-Analysis

PURPOSEThe survival impact of secondary cytoreductive surgery in patients with platinum-sensitive recurrent ovarian cancer was studied.METHODSWe identified published studies from 1983 to 2021 following our inclusion criteria from MEDLINE, EMBASE, and Cochrane library. To integrate the effect size of single-arm studies, meta-analysis was performed using death rate as a primary outcome. The effect of complete cytoreduction and optimal cytoreduction on survival was evaluated using meta-regression. The pooled death rate was presented with a 95% CI. The publication bias was evaluated with the funnel plot and Egger's test, and sensitivity analysis was performed. To overcome missing death rates, the linear regression model was performed on log-transformed median overall survival (OS) time using study size as a weight.RESULTSThirty-six studies with 2,805 patients reporting death rates were used for this meta-analysis of the 80 eligible studies. There was strong heterogeneity, with the P value of the Cochrane Q test of &lt; 0.0001 and Higgins's I2statistics of 86%; thus, we considered a random effect model. The pooled death rate was 44.2% (95% CI, 39.0 to 49.5), and both the complete and optimal cytoreductions were associated with better survival outcomes as significant moderators in the meta-regression model ( P &lt; .001 and P = .005, respectively). Although 14 studies were located outside the funnel plot, Egger's test indicated no publication bias ( P = .327). A sensitivity analysis excluding 14 studies showed similar results. In the linear regression model on the basis of 57 studies, the median OS time increased by 8.97% and 7.04% when the complete and optimal cytoreduction proportion increased by 10%, respectively, after adjusting other variables.CONCLUSIONSecondary cytoreductive surgery, resulting in maximal tumor resection, significantly prolongs OS in platinum-sensitive recurrent ovarian cancer.

Intraoperative Hyperthermic Intraperitoneal Chemotherapy With Ovarian Cancer

The current standard treatment for ovarian cancer, tubal cancer, and primary peritoneal cancer is maximal cytoreductive surgery followed by chemotherapy. Recent randomized trials of Gynecologic Oncology Group (GOG) revealed the survival gain in intraperitoneal chemotherapy compared to the intravenous chemotherapy after the optimal cytoreduction in ovarian cancer (GOG#104, GOG#114, GOG#172). Experts attributed such survival gain to the earlier cycles of intraperitoneal chemotherapy when adhesion was minimal from extensive cytoreductive procedures. Hyperthermia has an anti-cancer activity itself. Especially, hyperthermia promotes chemotherapy to penetrate deeper into the cancer tissue. Therefore, the combination of intraperitoneal chemotherapy with hyperthermia theoretically could lead to higher response rate and better survival outcomes. \*HIPEC: hyperthermic intraperitoneal chemotherapy There will be an interim analysis when 50% of patients are enrolled. At the interim analysis, a statistical test will be performed. The nominal significance levels will be determined later. The exact nominal significance level will be determined based on the exact number of events at the time of the interim analysis. The Stopping boundaries will be calculated using an O'Brien-Fleming error spending function