OBJECTIVES

The aim of the study is to estimate the cost of breast cancer diagnosis, treatment, and management in the Philippines. Specifically, it aims to identify the resource requirements and interventions related to breast cancer diagnosis, treatment, and management, measure resource volumes (number of units), learn to value resource items (unit costs), and determine the total cost of treatment per disease stage.

The study covered nine tertiary hospitals, seven of which were government hospitals and two were private hospitals, with all tertiary hospitals providing breast cancer services and accredited by Philippine Health Insurance Corporation (PHIC or PhilHealth) for the Z-Benefit Package. Interventions and services related to breast cancer included radiographic procedures, laboratory and imaging tests, chemotherapy drugs and medications, medical and surgical supplies, surgical rates (for breast surgery), accommodation, staff time and salary/professional fees, and other procedure fees. The study conducted in 2022, examined cost prices of breast cancer interventions and services from stage 1–3B.

Purposive and convenience sampling were used based on PhilHealth accreditation and willingness of hospitals to participate in the study. The study conducted a focus group discussion with oncologists, radiologists, anesthesiologists, and other health care providers to validate the clinical guideline used and to solicit inputs to the costing design, analysis framework, and tools for data collection. Data collection of financial cost information (charge price) was conducted using a set of costing matrices filled out by the various departments of the hospitals. Costs and median rates were calculated across hospitals on diagnostics and imaging tests, surgery costs of both public and private facilities, medical treatment, and radiotherapy.

Breast MRI, Breast Panel, and Chest CT Scan are the top 3 most expensive diagnostic procedures ranging from PhP 8,102.00 to PhP 9,800.00 per procedure. Surgical procedures for breast cancer at private hospitals and public hospitals showed huge differences in costs. The cost of a cycle of chemotherapy ranges from PhP 596.70 to PhP 3,700.00 per session, while the cost of targeted therapy can cost up to PhP 46,394.21 per session. A year of hormone therapy ranges from PhP 3,276.00 with the use of Tamoxifen, and up to PhP 68,284.00 with Goserelin. Aromatase inhibitors such as Anastrozole and Letrozole cost from PhP 18,000 to PhP 36,000, respectively. Multiple cycles depending on the diagnosis are prescribed per patient and used in combination with other chemotherapy medications or other therapies such as targeted therapy and hormone therapy are usually taken daily up to 5 to 10 years. Conventional radiotherapy can cost up to PhP 88,150.00 covering 28 sessions, CT simulation, and CT planning.

This cost study provides relevant information and better perspective on benefit development for the PHIC, policy development for Department of Health on where and how to focus their support for the patient’s financial preparedness to address medical and f inancial catastrophes.

PhilHealth needs to guide the health care providers of their costing method and to develop their own integrated, interoperable, and comprehensive cost data library.

It recommends that the government allocate budget and cover for screening and assessment for earlier stage diagnosis of patients and lower health expenditure costs on cancer treatment.

Background: The effect of treatment delays on the quality of life of breast cancer patients undergoing radiotherapy remains to be seen, especially from quarantine measures implemented during the COVID-19 pandemic. Objective: The objective of this study is to assess the health-related quality of life (HR-QOL) of breast cancer patients referred for radiotherapy during the COVID-19 pandemic. Methodology: This cross-sectional analysis included histopathologically proven breast cancer patients referred for radiotherapy at the Philippine General Hospital from June to October 2020. The University of the Philippines-Department of Health Quality of Life Scale for Cancer Patients was used to assess the HR-QOL of the respondents across five domains. Results: A total of 60 respondents (median age of 52, range 33-71) were surveyed and eligible for analysis. College degree holders and good performers were associated with higher HR-QOL scores (p=0.008). The median interval from diagnosis to survey was 10.7 (SD±6.18) months and a longer illness duration was detrimental to HR-QOL. Overall, the global HR-QOL score was high (80.0% of respondents, HR-QOL score of 5.38±0.46). This was observed in all, except for the cognitive domain where HR-QOL was moderate among respondents (4.24±0.76). Conclusion This assessment was conducted within seven months into the pandemic, when an overall high HR-QOL score was observed among breast cancer patients. With further restrictions in treatment census encountered during the pandemic, strategies are recommended to address these indicators of health related QOL in this patient population through equitable and prompt access to needed care, such as radiotherapy.
Breast Neoplasms ; COVID-19 ; Quality of Life ; Radiotherapy

Objective: To identify in what phases in the treatment of head and neck cancer do delays happen at a tertiary hospital and to determine the association between the length of treatment delays and the oncologic outcomes (disease-free survival and overall survival) for patients with head and neck cancer. : Methods Design: Retrospective Cohort Study Setting: Tertiary National University Hospital Participants: Sixty-eight (68) patients who had surgery and adjuvant radiotherapy for invasive head and neck cancer at the Philippine General Hospital during the 5-year period of January 2014 to December 2019 were included in the initial consideration. Only 15 had survival data and were thus eligible for inclusion in this study. Results: The median treatment package time for head and neck cancers in our institution was 27.6 weeks or 193 days. The treatment package time statistically correlated with both overall survival, F(1,13)=12.952, p <0.005, R2=0.499, and disease-free survival, F(1-13)=12.823, p <0.005, R2= 0.497. However, the independent effects of other predictors such as time interval between first consult to histopathologic diagnosis, diagnosis to surgery, and surgery to post-operative radiotherapy, showed no statistically significant association with overall survival and disease free survival. Conclusion All study patients experienced treatment delays from diagnosis to surgery, and surgery to adjuvant radiation therapy, and in their total treatment package time. The positive correlation among treatment package time, and disease-free and overall survival in this study must be further investigated in order to elucidate the true effect of delays across time intervals in the treatment of head and neck cancer in the Philippine General Hospital. Every effort should be made towards timely management of these patients.
Head and Neck Neoplasms ; Radiotherapy ; Survival Rate ; Treatment Outcome ; Time-to-Treatment ; Surgery ; Disease-Free Survival ; Delayed Diagnosis ; Retrospective Studies ; Postoperative Care

Objective: Retrospective analysis of the efficacy and influencing factors of bladder preservation integrated therapy for unresectable invasive bladder cancer confined to the pelvis was done, also including the bladder function preservation and adverse effects analysis. Methods: Sixty-nine patients with unresectable locally invasive bladder cancer who received radiotherapy-based combination therapy from March 1999 to December 2021 at our hospital were selected. Among them, 42 patients received concurrent chemoradiotherapy, 32 underwent neoadjuvant chemotherapyand 43 with transurethral resection of bladder tumors (TURBT) prior to radiotherapy. The late adverse effect of radiotherapy, preservation of bladder function, replase and metastasis and survival were followed-up. Cox proportional hazards models were applied for the multifactorial analysis. Results: The median age was 69 years. There were 63 cases (91.3%) of uroepithelial carcinoma, 64 of stage Ⅲ and 4 of stage Ⅳ. The median duration of follow-up was 76 months. There were 7 grade 2 late genito urinary toxicities, 2 grade 2 gastrointestinal toxicities, no grade 3 or higher adverse events occurred. All patients maintained normal bladder function, except for 8 cases who lost bladder function due to uncontrolled tumor in the bladder. Seventeen cases recurred locally. There were 11 cases in the concurrent chemoradiotherapy group with a local recurrence rate of 26.2% (11/42) and 6 cases in the non-concurrent chemoradiotherapy group with a local recurrence rate of 22.2% (6/27), and the difference in local recurrence rate between the two groups was not statistically significant (P=0.709). There were 23 cases of distant metastasis (including 2 cases of local recurrence with distant metastasis), including 10 cases in the concurrent chemoradiotherapy group with a distant metastasis rate of 23.8% (10/42) and 13 cases in the non-concurrent chemoradiotherapy group with a distant metastasis rate of 48.1% (13/27), and the distant metastasis rate in the non-concurrent chemoradiotherapy group was higher than that in the concurrent chemoradiotherapy group (P=0.036). The median 5-year overall survival (OS) time was 59 months and the OS rate was 47.8%. The 5-year progression-free survival (PFS) time was 20 months and the PFS rate was 34.4%. The 5-year OS rates of concurrent and non-concurrent chemoradiotherapy group were 62.9% and 27.6% (P<0.001), and 5-year PFS rates were 45.4% and 20.0%, respectively (P=0.022). The 5-year OS rates of with or without neoadjuvant chemotherapy were 78.4% and 30.1% (P=0.002), and the 5-year PFS rates were 49.1% and 25.1% (P=0.087), respectively. The 5-year OS rates with or without TURBT before radiotherapy were 45.5% and 51.9% (P=0.233) and the 5-year PFS rates were 30.8% and 39.9% (P=0.198), respectively. Multivariate Cox regression analysis results showed that the clinical stage (HR=0.422, 95% CI: 0.205-0.869) was independent prognostic factor for PFS of invasive bladder cancer. The multivariate analysis showed that clinical stages (HR=0.278, 95% CI: 0.114-0.678), concurrent chemoradiotherapy (HR=0.391, 95% CI: 0.165-0.930), neoadjuvant chemotherapy (HR=0.188, 95% CI: 0.058-0.611), and recurrences (HR=10.855, 95% CI: 3.655-32.638) were independent prognostic factors for OS of invasive bladder cancer. Conclusion: Unresectable localized invasive bladder cancer can achieve satisfactory long-term outcomes with bladder-preserving combination therapy based on radiotherapy, most patients can retain normal bladder function with acceptable late adverse effects and improved survival particularly evident in patients with early, concurrent chemoradiotherapy and neoadjuvant chemotherapy.
Humans ; Aged ; Treatment Outcome ; Retrospective Studies ; Combined Modality Therapy ; Chemoradiotherapy/methods* ; Urinary Bladder Neoplasms/radiotherapy* ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Neoplasm Staging

To investigate the γ pass rate limit of plan verification equipment for volumetric modulated arc therapy (VMAT) plan verification and its sensitivity on the opening and closing errors of multi-leaf collimator (MLC), 50 cases of nasopharyngeal carcinoma VMAT plan with clockwise and counterclockwise full arcs were randomly selected. Eight kinds of MLC opening and closing errors were introduced in 10 cases of them, and 80 plans with errors were generated. Firstly, the plan verification was conducted in the form of field-by-field measurement and true composite measurement. The γ analysis with the criteria of 3% dose difference, distance to agreement of 2 mm, 10% dose threshold, and absolute dose global normalized conditions were performed for these fields. Then gradient analysis was used to investigate the sensitivity of field-by-field measurement and true composite measurement on MLC opening and closing errors, and the receiver operating characteristic curve (ROC) was used to investigate the optimal threshold of γ pass rate for identifying errors. Tolerance limits and action limits for γ pass rates were calculated using statistical process control (SPC) method for another 40 cases. The error identification ability using the tolerance limit calculated by SPC method and the universal tolerance limit (95%) were compared with using the optimal threshold of ROC. The results show that for the true composite measurement, the clockwise arc and the counterclockwise arc, the descent gradients of the γ passing rate with per millimeter MLC opening error are 10.61%, 7.62% and 6.66%, respectively, and the descent gradients with per millimeter MLC closing error are 9.75%, 7.36% and 6.37%, respectively. The optimal thresholds obtained by the ROC method are 99.35%, 97.95% and 98.25%, respectively, and the tolerance limits obtained by the SPC method are 98.98%, 97.74% and 98.62%, respectively. The tolerance limit calculated by SPC method is close to the optimal threshold of ROC, both of which could identify all errors of ±2 mm, while the universal tolerance limit can only partially identify them, indicating that the universal tolerance limit is not sensitive on some large errors. Therefore, considering the factors such as ease of use and accuracy, it is suggested to use the true composite measurement in clinical practice, and to formulate tolerance limits and action limits suitable for the actual process of the institution based on the SPC method. In conclusion, it is expected that the results of this study can provide some references for institutions to optimize the radiotherapy plan verification process, set appropriate pass rate limit, and promote the standardization of plan verification.
Humans ; Radiotherapy, Intensity-Modulated ; Immune Tolerance ; Nasopharyngeal Carcinoma ; ROC Curve ; Nasopharyngeal Neoplasms/radiotherapy*

Humans ; Pulmonary Alveolar Proteinosis/radiotherapy* ; Small Cell Lung Carcinoma/radiotherapy* ; Lung ; Bronchoalveolar Lavage ; Lung Neoplasms/radiotherapy*

Humans ; Extremities ; Sarcoma/radiotherapy* ; Soft Tissue Neoplasms/radiotherapy* ; Neoplasm Recurrence, Local

A 61-year-old male diagnosed with laryngeal squamous cell carcinoma presented with hoarseness, progressive dysphagia leading to aspiration, and dyspnea one month after definitive radiation therapy. Examination revealed a diffusely swollen glottis, paralyzed vocal cords, and post-radiation fibrosis. Several glottic biopsies yielded results negative for malignancy and favored radiation-induced changes. When presented with the option of further diagnostic testing with a positron emission tomography (PET) scan or an outright laryngectomy, the patient decided on the latter. Final histopathologic diagnosis was negative for recurrence of malignancy. This case demonstrates treatment dilemmas for patients with laryngeal carcinoma with uncertain recurrence wherein radical surgical management may prove to be a viable option to achieve both diagnostic certainty and ultimate relief of symptoms.
Laryngeal Neoplasms ; Laryngectomy ; Radiotherapy

OBJECTIVE: To propose an deep learning-based algorithm for automatic prediction of dose distribution in radiotherapy planning for head and neck cancer. METHODS: We propose a novel beam dose decomposition learning (BDDL) method designed on a cascade network. The delivery matter of beam through the planning target volume (PTV) was fitted with the pre-defined beam angles, which served as an input to the convolution neural network (CNN). The output of the network was decomposed into multiple sub-fractions of dose distribution along the beam directions to carry out a complex task by performing multiple simpler sub-tasks, thus allowing the model more focused on extracting the local features. The subfractions of dose distribution map were merged into a distribution map using the proposed multi-voting mechanism. We also introduced dose distribution features of the regions-of-interest (ROIs) and boundary map as the loss function during the training phase to serve as constraining factors of the network when extracting features of the ROIs and areas of dose boundary. Public datasets of radiotherapy planning for head and neck cancer were used for obtaining the accuracy of dose distribution of the BDDL method and for implementing the ablation study of the proposed method. RESULTS: The BDDL method achieved a Dose score of 2.166 and a DVH score of 1.178 (P < 0.05), demonstrating its superior prediction accuracy to that of current state-ofthe-art (SOTA) methods. Compared with the C3D method, which was in the first place in OpenKBP-2020 Challenge, the BDDL method improved the Dose score and DVH score by 26.3% and 30%, respectively. The results of the ablation study also demonstrated the effectiveness of each key component of the BDDL method. CONCLUSION The BDDL method utilizes the prior knowledge of the delivery matter of beam and dose distribution in the ROIs to establish a dose prediction model. Compared with the existing methods, the proposed method is interpretable and reliable and can be potentially applied in clinical radiotherapy.
Humans ; Deep Learning ; Head and Neck Neoplasms/radiotherapy* ; Algorithms ; Neural Networks, Computer

OBJECTIVE: To identify the problems in clinical radiotherapy planning for cervical cancer through quantitative evaluation of the radiotherapy plans to improve the quality of the plans and the radiotherapy process. METHODS: We selected the clinically approved and administered radiotherapy plans for 227 cervical cancer patients undergoing external radiotherapy at Sun Yat-sen University Cancer Center from May, 2019 to January, 2022. These plans were transferred from the treatment planning system to the Plan IQ^TM workstation. The plan quality metrics were determined based on the guidelines of ICRU83 report, the GEC-ESTRO Working Group, and the clinical requirements of our center and were approved by a senior clinician. The problems in the radiotherapy plans were summarized and documented, and those with low scores were re-planned and the differences were analyzed. RESULTS: We identified several problems in the 277 plans by quantitative evaluation. Inappropriate target volume selection (with scores < 60) in terms of GTV, PGTV (CI) and PGTV (V_{66 Gy}) was found in 10.6%, 65.2%, and 1% of the plans, respectively; and the PGTV (CI), GTV, and PCTV (D_98%, HI) had a score of 0 in 0.4%, 10.1%, 0.4%, 0.4% of the plans, respectively. The problems in the organs at risk (OARs) involved mainly the intestines (the rectum, small intestine, and colon), found in 20.7% of the plans, and in occasional cases, the rectum, small intestine, colon, kidney, and the femoral head had a score of 0. Senior planners showed significantly better performance than junior planners in PGTV (V_{60 Gy}, D_98%), PCTV (CI), and CTV (D_98%) (P≤0.046) especially in terms of spinal cord and small intestine protection (P≤0.034). The bowel (the rectum, small intestine and colon) dose was significantly lower in the prone plans than supine plans (P < 0.05), and targets coverage all met clinical requirements. Twenty radiotherapy plans with low scores were selected for re-planning. The re-planned plans had significantly higher GTV (D_min) and PTV (V_{45 Gy}, D_98%) (P < 0.05) with significantly reduced doses of the small intestines (V_{40 Gy} vs V_{30 Gy}), the colon (V_{40 Gy} vs V_{30 Gy}), and the bladder (D_35%) (P < 0.05). CONCLUSION Quantitative evaluation of the radiotherapy plans can not only improve the quality of radiotherapy plan, but also facilitate risk management of the radiotherapy process.
Humans ; Female ; Uterine Cervical Neoplasms/radiotherapy* ; Rectum ; Colon ; Kidney ; Organs at Risk