Brachytherapy in gynecological malignancies at a tertiary care hospital: An analysis.

Purpose: Brachytherapy plays a crucial role in the standard of care for locally advanced gynecological malignancies. In this report, we present the experience from a tertiary teaching hospital, which is a referral center for image-guided brachytherapy (IGBT) in the management of locally advanced gynecological malignancies. Material and methods: This was a retrospective study of 130 patients referred to our hospital for IGBT after receiving initial external beam radiotherapy in their primary healthcare facilities, from January 2021 till January 2023. CT-based planning was done to delineate high-risk clinical target volume (HR-CTV). Dose of 6-7.5 Gy in 3-4 fractions was prescribed. Overall treatment time (OTT) was calculated, and patients were assessed for clinical response and toxicity after three months. Results: All patients received IGBT using an intra-cavitary or interstitial technique. The D90 HR-CTV mean EQD2 dose was 28.34 ±2.78 Gy. The mean EQD2 dose to 2 cc of the bladder, rectum, and sigmoid was 18.31 ±5.19 Gy, 14.14 ±5.76 Gy, and 17.43 ±4.75 Gy, respectively. The median interval time between the last fraction of external beam radiation therapy (EBRT) and first evaluation in the hospital was 19 (range, 13-28) days (interquartile range [IQR]). The median time between the completion of chemoradiation and brachytherapy procedure was 25 (range, 19-33) days (IQR). The mean overall treatment time (OTT) was 63.5 ±14.7 days. Conclusions: This study highlights the established advantages of image-guided interstitial brachytherapy and associated challenges. To optimize the overall treatment duration, it is imperative to prioritize and update the referral processes for brachytherapy centers.

Organ-Sparing in Radiotherapy for Head-and-Neck Cancer: Improving Quality of Life.

This is an overview of select studies characterizing the effect of radiation on normal tissues in the treatment of head-and-neck cancer. Recommendations for organ-at-risk dose constraints aiming to reduce risks of xerostomia and dysphagia, the factors which have the highest effect on patient quality of life, are discussed, along with their supporting evidence. Recent advances in technology and biology, and their implications for reducing toxicity are explored. Considerations related to organ-sparing in the setting of treatment deintensification for good-prognosis head-and-neck cancer are also discussed.

Lung diaphragm tracking in CBCT images using spatio-temporal MRF.

In EBRT in order to monitor the intra fraction motion of thoracic and abdominal tumors, one of the standard approaches is to use the lung diaphragm apex as an internal marker. However, tracking the position of the apex from image based observations is a challenging problem, as it undergoes both position and shape variation. The purpose of this paper is to propose an alternative method for tracking the ipsi-lateral hemidiaphragm apex (IHDA) position on Cone Beam Computed Tomography (CBCT) projection images. A hierarchical method is proposed to track the IHDA position across the frames. The diaphragm state is modeled as a spatio-temporal Markov Random Field (MRF). The likelihood function is derived from the votes based on 4D-Hough space. The optimal state of the diaphragm is obtained by solving the associated energy minimization problem using graph-cuts. A heterogeneous GPU implementation is provided for the method using CUDA framework and the performance is compared with that of CPU implementation. The method was tested using 15 clinical CBCT images. The results demonstrate that the MRF formulation outperforms the full search method in terms of accuracy. The GPU based heterogeneous implementation of the proposed algorithm takes about 25s, which is 16% improvement over the existing benchmark. The proposed MRF formulation considers all the possible combinations from the 4D-Hough space and therefore results in better tracking accuracy. The GPU based implementation exploits the inherent parallelism in our algorithm to accelerate the performance thereby increasing the viability of the approach for clinical use.