Towards Individualized Cancer Treatments via Integrating Oncology, Radiation Oncology, Nuclear Medicine, and Imaging Techniques


Author(s): Shikha Kumari Rajak, Urvashi Jain, Chetan Kumar Sonkar

For a patient to achieve the best possible results from treatment, cancer, due to its complexity and heterogeneity, requires an individualized strategy. Personalized cancer treatment is an emerging trend in medicine that has great promise for better therapeutic efficacy, fewer adverse effects, and better patient outcomes. The current standard treatment methods often fail to adequately address the individual peculiarities of each patient's cancer, resulting in subpar outcomes. Precision medicine in oncology requires the collaboration of many experts and the use of innovative instruments and methods. Data interoperability, interdisciplinary collaboration, treatment planning optimization, and the necessity for real-time decision support systems represent merely few of the obstacles that stand in the way of personalised cancer treatments. Solving these problems calls for creative ways that draw on the strengths of different medical disciplines and make use of available data. An integrated framework called Real-time Biomarker Integration Treatment Adaptation (R-TBITA) is suggested in this research to bring together radiation oncology, nuclear medicine, oncology, and modern imaging tools. The integrative method can be used in a variety of contexts, such as when tailoring radiation therapy dosage and delivery systems to achieve optimal tumor control with minimal collateral harm. Locating unique molecular targets within a patient's cancer and developing more effective chemotherapy or immunotherapy treatments. comprehensive simulation research will be performed to determine the integrated approach's viability and possible benefits. Virtual patient cohorts, treatment optimization, and cost-benefit analysis will all be a part of this investigation. Transformative change in cancer care will benefit patients and healthcare systems alike if obstacles are overcome, new procedures are implemented, and extensive simulation analysis is conducted.

Share this article

Awards Nomination

Editors List

  • Prof. Elhadi Miskeen

    Obstetrics and Gynaecology Faculty of Medicine, University of Bisha, Saudi Arabia

  • Ahmed Hussien Alshewered

    University of Basrah College of Medicine, Iraq

  • Sudhakar Tummala

    Department of Electronics and Communication Engineering SRM University – AP, Andhra Pradesh




  • Alphonse Laya

    Supervisor of Biochemistry Lab and PhD. students of Faculty of Science, Department of Chemistry and Department of Chemis


  • Fava Maria Giovanna


Google Scholar citation report
Citations : 208

Onkologia i Radioterapia received 208 citations as per Google Scholar report

Onkologia i Radioterapia peer review process verified at publons
Indexed In
  • Directory of Open Access Journals
  • Scimago
  • MIAR
  • Euro Pub
  • Google Scholar
  • Medical Project Poland
  • Cancer Index
  • Gdansk University of Technology, Ministry Points 20