• 2022-09
  • 2022-08
  • 2022-07
  • 2022-06
  • 2022-05
  • 2022-04
  • 2021-03
  • 2020-08
  • 2020-07
  • 2020-03
  • 2019-11
  • 2019-10
  • 2019-09
  • 2019-08
  • 2019-07
  • br Acknowledgement br The authors are grateful to the


    The authors are grateful to the African Development Bank- HEST project for providing funds for this research, and the Commonwealth Scholarship Commission for the split-site scholarship to William Wasswa, in partnership with the University of Strathclyde. The authors are also grateful to Mr Abraham Birungi, from the Pathology Department at Mbarara University of Science and Technology, Uganda, for providing support with pap-images. Thanks also to Dr Mario Giardini, from the University of Strathclyde, for providing support with some image analysis.
    [25] Ragothaman S, Narasimhan S, Basavaraj MG, Dewar R. Unsupervised segmentation of cervical cell images using Gaussian mixture model. IEEE comput. Soc. Conf. Comput. Vis. Pattern recognit. Work 2016. 173.
    [32] Marinakis Y, Dounias G, Jantzen J. Pap smear diagnosis using a hybrid intelligent scheme focusing on genetic algorithm based feature selection and nearest neighbor classification. Comput Biol Med 2009;39:69–78. compbiomed.2008.11.006.
    [39] zur Hausen H. Papillomaviruses and cancer: from basic studies to clinical  Informatics in Medicine Unlocked 14 (2019) 23–33
    [77] Bora K, Chowdhury M, Mahanta LB, Kundu MK, Kumar Das A, Das AK. Automated classification of pap smear image to detect cervical dysplasia. Comput Methods Progr Biomed 2017. [78] Lakshmi K. Automated extraction of cytoplasm and nuclei from cervical EPZ-6438 images by fuzzy thresholding and active contours. Int J Comput Appl 2013;73:3–8. [79] Maheswari PS, Jayasudha K, Revathy R, Yogalakshmi K. Predicting the severity of cervical cancer using. Int J Res Appl Sci Eng Technol 2015;3:141–4. [80] Sá Junior JJ de M, Backes AR. A gravitational model for grayscale texture  Informatics in Medicine Unlocked 14 (2019) 23–33
    Contents lists available at ScienceDirect
    Gynecologic Oncology
    Cervical cancer radiation therapy compliance rates based on location of radiation therapy
    Corinne Calo , John O. Elliott, Aine Clements, Gary Reid, Kellie Rath
    Ohio Heath Gynecologic Cancer Surgeons, Riverside Methodist Hospital, Medical Education, United States of America
    • Patients who underwent portions of their radiation therapy at different locations had protracted treatment courses.
    • Patients who underwent all of their RT at one location finished their therapy an average of 16.4 days sooner.
    • Patients with prolonged treatment courses who underwent RT at multiple locations had poorer overall survival.
    Article history:
    Cervical cancer
    Radiation therapy
    Objective. Completion of radiation therapy (RT) within 60 days has been proposed as a national quality mea-sure for patients with carcinoma of the cervix as protracted RT has been associated with worse oncologic out-comes. The objective of this study was to compare compliance rates based on location of RT administration. Methods. This was a retrospective chart review of patients diagnosed with cervical cancer between January of 2000 to December of 2016 who were planned to undergo primary treatment with sensitizing chemotherapy and RT. Patients who completed both external beam radiation therapy (EBRT) and brachytherapy (BT) at the primary institution were compared to patients who completed a portion or all of their RT elsewhere. The primary out-come measured was completion of RT within 60 days. Secondary outcomes included compliance with sensitizing chemotherapy, total radiation dose, recurrence rate, progression free survival (PFS) and overall survival (OS). The groups were compared using standard statistical analysis.