ABSTRACT
Purpose: Locally advanced cervical cancer was defined by an international consensus panel as a high priority malignancy during the COVID-19 pandemic, recommending prompt initiation of definitive treatment and completion of treatment (PMID 32563593). The objective of this study was to study the clinical outcomes of patients (pts) with cervical cancer treated with definitive chemoradiation (CRT) and brachytherapy (BT) at our institution in 2019 (pre-COVID) and in 2020 (peri-COVID). Material(s) and Method(s): This was a retrospective cohort study of pts with FIGO Stage IB2-IVA cervical cancer at our institutions from 1/1/2019 to 12/31/2020. Pts received CRT followed by intracavitary brachytherapy (IC) with two operative insertions one week apart, or interstitial (IS) BT with one operative insertion. BT treatment was planned using image-guided CT or MR delineation. Pre-COVID was defined by initiation of CRT in 1/2019-12/2019, and peri-COVID was defined by initiation in 1/2020-10/2020. Process changes peri-COVID included limited on-site staff (e.g., minimal OR staff, no trainees, remote physics team), universal implementation of COVID-19 testing prior to surgery, and CT instead of MR-delineation based treatment. Outcomes of interest were time to treatment initiation and completion and differences in treatment planning modality or dosimetry. Fisher's exact and Mann Whitney U tests were used with significance p<0.05. Result(s): Thirty-one pts were included, with 18 patients undergoing treatment pre-COVID and 13 peri-COVID. The median age at diagnosis pre-COVID was 57.7 (range 23-77) and for peri-COVID, 45.5 (range 28-62, p=0.06). There were no differences in non-English speaking pts (44% vs 59%, p=0.71) or uninsured pts (11% vs 33%, p=0.184) between the two cohorts. Median time to initiation of treatment from biopsy diagnosis was 52 days (range 13-209) in 2019 and for peri-COVID, 55.5 (range 20-173, p=0.71). During COVID, four pts had delayed initiation to treatment >100 days: two related to fertility, and one due to fear of COVID-19. For this pt, tumor size progressed from 2.3 cm to 4.2 cm maximal dimension. One pt treated in 2020 tested positive following treatment and did not require hospital admission. All pts except one completed CRT with RT: 25 pts pelvic RT (45 Gy), 3 pelvic and para-aortic RT (45 Gy with 57.5 Gy concomitant boost to nodes), 8 pts pelvic RT (45Gy) with sequential parametrial boost (50.4-59.4 Gy) using IMRT with no dose differences between pre and peri-COVID (Table 1). No pts required treatment breaks and the median overall treatment time was 50 days (range 31-85) in 2019 vs 50 days (range 43-63) in 2020 (p=0.710). Conclusion(s): Despite the significant burden of the COVID-19 pandemic on our health care system, all cervical cancer pts receiving CRT met standard of care including CRT and BT within the recommended time frame with no significant differences in dosimetric treatment parameters pre- and peri-COVID. Delays in treatment initiation of treatment initiation were seen in 30% of pts in the peri-COVID period, suggesting that patients may have had increased barriers to access care. More follow-up is needed to determine how the Covid pandemic impacted cervical cancer outcome measures. Copyright © 2022
ABSTRACT
Purpose: Locally advanced cervical cancer was defined by an international consensus panel as a high priority malignancy during the COVID-19 pandemic, recommending prompt initiation of definitive treatment and completion of treatment (PMID 32563593). The objective of this study was to study the clinical outcomes of patients (pts) with cervical cancer treated with definitive chemoradiation (CRT) and brachytherapy (BT) at our institution in 2019 (pre-COVID) and in 2020 (peri-COVID). Materials and Methods: This was a retrospective cohort study of pts with FIGO Stage IB2-IVA cervical cancer at our institutions from 1/1/2019 to 12/31/2020. Pts received CRT followed by intracavitary brachytherapy (IC) with two operative insertions one week apart, or interstitial (IS) BT with one operative insertion. BT treatment was planned using image-guided CT or MR delineation. Pre-COVID was defined by initiation of CRT in 1/2019-12/2019, and peri-COVID was defined by initiation in 1/2020-10/2020. Process changes peri-COVID included limited on-site staff (e.g., minimal OR staff, no trainees, remote physics team), universal implementation of COVID-19 testing prior to surgery, and CT instead of MR-delineation based treatment. Outcomes of interest were time to treatment initiation and completion and differences in treatment planning modality or dosimetry. Fisher's exact and Mann Whitney U tests were used with significance p<0.05. Results: Thirty-one pts were included, with 18 patients undergoing treatment pre-COVID and 13 peri-COVID. The median age at diagnosis pre-COVID was 57.7 (range 23-77) and for peri-COVID, 45.5 (range 28-62, p=0.06). There were no differences in non-English speaking pts (44% vs 59%, p=0.71) or uninsured pts (11% vs 33%, p=0.184) between the two cohorts. Median time to initiation of treatment from biopsy diagnosis was 52 days (range 13-209) in 2019 and for peri-COVID, 55.5 (range 20-173, p=0.71). During COVID, four pts had delayed initiation to treatment >100 days: two related to fertility, and one due to fear of COVID-19. For this pt, tumor size progressed from 2.3 cm to 4.2 cm maximal dimension. One pt treated in 2020 tested positive following treatment and did not require hospital admission. All pts except one completed CRT with RT: 25 pts pelvic RT (45 Gy), 3 pelvic and para-aortic RT (45 Gy with 57.5 Gy concomitant boost to nodes), 8 pts pelvic RT (45Gy) with sequential parametrial boost (50.4-59.4 Gy) using IMRT with no dose differences between pre and peri-COVID (Table 1). No pts required treatment breaks and the median overall treatment time was 50 days (range 31-85) in 2019 vs 50 days (range 43-63) in 2020 (p=0.710). Conclusions: Despite the significant burden of the COVID-19 pandemic on our health care system, all cervical cancer pts receiving CRT met standard of care including CRT and BT within the recommended time frame with no significant differences in dosimetric treatment parameters pre- and peri-COVID. Delays in treatment initiation of treatment initiation were seen in 30% of pts in the peri-COVID period, suggesting that patients may have had increased barriers to access care. More follow-up is needed to determine how the Covid pandemic impacted cervical cancer outcome measures.
ABSTRACT
Healthcare data often exist in silos and in unstructured formats that limit interoperability and require tedious manual extraction. Our institution has adopted a flexible and scalable big data platform built on Hadoop that integrates data from Epic/Clarity as well as Aria and allows users to leverage modern data science tools to facilitate access. We hypothesize that a data analytics and visualization dashboard can be built using open-source tools that will (1) allow non-technical users to explore de-identified clinical data within our institutional big data platform and (2) connect with repositories of molecular data to demonstrate potential methods of integrating clinical and basic science data. De-identified patient-level radiation oncology data from the institutional big data platform (Hadoop) were extracted with the python packages pyodbc and pandas. For the purposes of this dashboard, radiation oncology specific clinical data elements were queried including the date of first radiation treatment, treatment location, treatment modality (SBRT, external beam, SRS, TBI, LDR/HDR brachytherapy), ICD10 codes, anatomic treatment site, number of fractions, treatment prescription, and dose per fraction. A python client connection with the publicly accessible instance of cBioPortal for Cancer Genomics was established using the Bravado library. Data transformation and cleaning was performed in python using panda's data frames. A web-based dashboard to facilitate user-defined visualizations was implemented using the Dash python library and interactive visualizations of subsets of extracted data were generated in real-time using the plotly plotting library. We developed a web-based dashboard that gives users without extensive programming expertise the ability to explore de-identified clinical data extracted from Hadoop. As proof of principle, the dashboard was used to visualize the clinical impact of the COVID-19 pandemic on radiation oncology patient volumes, revealing a significant decline in new radiation treatments in April and May of 2020 (-54% and -36% compared to 2019) during the initial COVID-19 surge. Furthermore, the dashboard allows users to interact with the cBioPortal for Cancer Genomics repository, which currently houses clinical and molecular data from 301 publicly available studies spanning 869 different cancer types. This interface with cBioPortal illustrates the potential for future integration of clinically meaningful sequencing results with clinical outcomes data. We built an interactive web-based dashboard to enable general users' easy access to de-identified clinical data stored within the institutional big data platform. Additional data sources, including external molecular data can be connected to the dashboard allowing for future integration. [ABSTRACT FROM AUTHOR] Copyright of International Journal of Radiation Oncology, Biology, Physics is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)