Multidisciplinary integration in oncology treatment: synergy in radiology & radiotherapy departments
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Palavras-chave

Image-fusion
Magnetic Resonance Imaging
Radiosurgery
RD/RT Sinergy

Como Citar

Costa, F. M., Saraiva, D., Fonseca, F., Casalta Lopes, J., Silva , V., Monteiro, A., … Osório, L. (2025). Multidisciplinary integration in oncology treatment: synergy in radiology & radiotherapy departments. Proceedings of Research and Practice in Allied and Environmental Health, 2(4), 17. https://doi.org/10.26537/prpaeh.v2i4.6458

Resumo

Background: The multidisciplinary impact between magnetic resonance imaging (MRI) and radiosurgery (SRS) has revolutionized cancer treatment, enhancing precision and patient outcomes. MRI provides superior soft tissue contrast in SRS where precise and effective high doses are delivered to small target volumes [1–3]. Image-fusion between MRI and Computed Tomography (CT) provides better visualization of the target and surrounding tissues. To improve the quality of image co-registration, cooperation between the Radiology (RD) and Radiotherapy (RT) departments in patient positioning was tested, incorporating the use of a thermomoldable cervical cushion in both CT and MRI planning [4,5]. Aim: Understand the impact of RD/RT synergy on the image-fusion planning with the use of thermomoldable cushion. Methods: Two hundred co-registrations of patients treated at our institute were analysed. The sample was divided equally into two different acquisition configurations: the diagnostic configuration (A) and the RD/RT synergy configuration (B). Rotational deviations in pitch (X-axis), roll (Y-axis) and yaw (Z-axis) dimensions were extracted from image-matching. For normality assessment Kolmogorov-Smirnov test was used to prove that all data was normally distributed and an independent sample t-test (p<.05) to compare deviations between groups. Results: A significant difference for the absolute value of rotational deviations was observed between the A and B configurations for X-axis (7.44±5.9vs.3.46±2.39 t(120.0)=6.01,p<.001), Y-axis (2.86±2.24vs.1.59±1.36 t(150.3)=4.66,p<.001), and Z-axis (4.18±3.81vs1.7±1.32 t(112.2)=5.91,p<.001). Quartile 1 and 3 values for the different axis and groups were: X(A)=(-23.6;27.4), X(B)=(-9;8.9), Y(A)=(-8.9;11,2), Y(B)=(-6.4;5.1), Z(A)=(-14.9;17.3), and Z(B)=(-5.3,4.6). Conclusions: In image co-registration, rotational deviations in image-matching must tend to zero to reduce resolution adaptation uncertainties. In the two groups, there was a statistical difference in all axis, with group-B obtaining better values, proving the importance of synergy [4].  Cooperation between RD/RT departments proved to be extremely important and had an impact on SRS. Other areas should be studied to improve patient healthcare.

https://doi.org/10.26537/prpaeh.v2i4.6458
PDF (English)

Referências

[1] Heron, DE; FInstP, MSHPDF; MSc, JMHM; editors. Stereotactic Radiosurgery and Stereotactic Body Radiation Therapy, 1st edition; Demos Medical: New York, 2018; pp. 350.

[2] Halperin, EC; Wazer, DE; Perez, CA; Brady, LW; editors. Perez and Brady’s principles and practice of radiation oncology, Seventh Editions; Wolters Kluwer: Philadelphia Baltimore New York, 2019; pp. 2318.

[3] Barrett, A; Morris, S; Dobbs, J; Roques, T. Practical Radiotherapy Planning, 4th Edition; CRC Press: London, 2009; pp. 477.

[4] Liney, G; Heide, U van der; editors. MRI for Radiotherapy: Planning, Delivery, and Response Assessment, 1st ed.; Springer, 2019; pp. 222.

[5] Beyzadeoglu, M; Ozyigit, G; Ebruli, C. Basic Radiation Oncology [Internet], Cham: Springer International Publishing, 2022. Available from: https://link.springer.com/10.1007/978-3-030 87308-0

Creative Commons License

Este trabalho encontra-se publicado com a Licença Internacional Creative Commons Atribuição-NãoComercial-SemDerivações 4.0.

Direitos de Autor (c) 2025 Fernando M. Costa, Daniela Saraiva, Filipa Fonseca, João Casalta Lopes, Vítor Silva , Armanda Monteiro, Ana Catarina Silva , Lígia Osório