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Purpose: To evaluate acute toxicity and dosimetric outcomes in cervical cancer treated with daily iterative cone beam computed tomography (iCBCT) guided online adaptive radiation therapy (oART) using reduced planning target volume (PTV) margin.
Methods And Materials: From February 2023 to November 2023, 27 patients with stages I to III cervical cancer were prospectively enrolled in this study. All patients received daily iCBCT guided oART (prescribed 50.4 Gy in 28 fractions) with concurrent weekly chemotherapy followed by brachytherapy. A uniform 10-mm margin was used to cover more variable uterus (PTV-U), and 5-mm margin was used for other PTV. The dosimetric results for each oART fraction were recorded. Both clinician- and patient-reported acute toxicities were assessed before treatment, weekly during treatment, 1 month and 3 months after treatment.
Results: The average total treatment time was 22 minutes and 54 seconds, and the adapted plan was selected for all fractions. The adapted plans showed superior coverage for the target volume and dosimetric improvement of organs at risk compared with the scheduled plan. Overall, no patient had grade ≥ 4 acute toxicities. Grades 1, 2, and 3 acute gastrointestinal toxicity were 26%, 19%, and 4%, respectively, among which diarrhea was the most common. Only grade 1 acute genitourinary toxicity was observed in 2 cases (7%). The low incidence of acute toxicity was supported by patient-reported outcome data, which showed significant decreases in mean standard scores on function subscales and significant increases on symptom subscales/items following the initiation of oART. Most of these scales returned to baseline average scores by the 1-month follow-up.
Conclusions: This prospective study of daily oART in patients with cervical cancer observed dosimetric benefits and a low incidence of acute toxicity, both in clinician- and patient-reported outcome measurements.
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http://dx.doi.org/10.1016/j.ijrobp.2025.03.051 | DOI Listing |
Cancer Causes Control
September 2025
College of Public Health, Iowa Cancer Registry, Epidemiology Department, University of Iowa, Iowa City, IA, USA.
Purpose: Human papillomavirus (HPV) causes oral and anogenital cancers, the incidence of which is increasing. Late-stage diagnosis is associated with increased mortality. Neighborhood-level characteristics and distance to place of diagnosis may impact timely diagnosis.
View Article and Find Full Text PDFJpn J Clin Oncol
September 2025
International Health Program, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Linong St., Beitou Dist., Taipei City 112, Taipei, Taiwan.
Objectives: Treatment delay can adversely affect cancer prognosis and public health. However, previous studies have not examined the association between cancer treatment delay and 5-year mortality risk for various cancer types in a single study population.
Methods: We used retrospective cohort data from 21 740 patients diagnosed with common cancers between 2000 and 2017, with mortality follow-up to 2022, from the Philippines' Department of Health-Rizal Cancer Registry to understand how treatment delay of <30, 30-90, or >90 days was associated with 5-year all-cause mortality risk, by cancer type and stage at diagnosis.
Int J Gen Med
September 2025
Suzhou Medical College of Soochow University, Suzhou, Jiangsu, People's Republic of China.
Purpose: The fourth most common cause of cancer-related deaths in women is cervical cancer. Though treatment of early-stage cervical cancer is often effective, middle and advanced stage cervical cancer is hard to treat and prone to recurrence. We sought to explore the mechanism underlying cervical cancer progression to identify new therapeutic approaches.
View Article and Find Full Text PDFFront Immunol
September 2025
Department of Medicine, Division of Hematology, Bioclinicum and Center for Molecular Medicine, Karolinska Institute and Karolinska University Hospital Solna, Stockholm, Sweden.
Background: Metabolic reprogramming is an important hallmark of cervical cancer (CC), and extensive studies have provided important information for translational and clinical oncology. Here we sought to determine metabolic association with molecular aberrations, telomere maintenance and outcomes in CC.
Methods: RNA sequencing data from TCGA cohort of CC was analyzed for their metabolic gene expression profile and consensus clustering was then performed to classify tumors into different groups/subtypes.