Cost-utility analysis of adjuvant chemotherapy after concurrent chemoradiation in patients with locally advanced cervical cancer

Cost analysis of three-dimensional radiation therapy versus intensity-modulated chemoradiotherapy for locally advanced cervical cancer in Peruvian citizens

Background and objectives

The standard treatment for locally advanced cervical cancer (CC) is chemoradiotherapy (CTRT) followed by high-dose-rate brachytherapy (HDRBT). The ideal scenario would be under novel intensity-modulated radiation therapy (IMRT) volumetric-modulated arc therapy (VMAT) radiation techniques over three-dimensional (3D) radiation therapy. However, radiotherapy (RT) centres in low- and middle-income countries have limited equipment for teletherapy services like HDRBT. This is why the 3D modality is still in use. The objective of this study was to analyse costs in a comparison of 3D versus IMRT versus VMAT based on clinical staging.

Materials and methods

From 02/01/2022 to 05/01/2023 a prospective registry of the costs for oncological management was carried out for patients with locally advanced CC who received CTRT ± HDRBT. This included the administration of radiation with chemotherapy. The cost associated with patient and family transfers and hours in the hospital was also identified. These expenses were used to project the direct and indirect costs of 3D versus IMRT versus VMAT.

Results

The treatment regimens for stage IIIC2, including 3D and novel techniques, are those with the highest costs. The administration of 3D RT for IIIC2 and novel IMRT or VMAT techniques, is $3,881.69, $3,374.76, and $2,862.80, respectively. The indirect cost from stage IIB to IIIC1 in descending order is IMRT, 3D and VMAT, but in IIIC2 the novel technique regimens reduce by up to 33.99% compared to 3D.

Conclusion

In RT centres with an available supply of RT equipment, VMAT should be preferred over IMRT/3D since it reduces costs and toxicity. However, in RT centres where demand exceeds supply in the VMAT technique planning systems, the use of 3D teletherapy over IMRT/VMAT could continue to be used in patients with stage IIB to IIIC1.

Chemotherapy and immune check point inhibitors in the management of cervical cancer

Management of locally advanced cervix cancer underwent major change 2 decades back when concurrent chemotherapy (CCRT) (with cisplatin alone or in combination) along with definite radiation therapy (external + brachytherapy) was found to be superior compared to radiation alone in a series of randomized trials. Since then CCRT has been the standard treatment approach; this has resulted in 5-year overall survival rate of 66% and disease-free survival (DFS) of 58%. About 30% to 40% of patients with locally advanced cervical cancer continue to have treatment failure. Also, some patients experience early and late side effects of treatment with negative impact on quality of life. To improve the outcome further - recent approaches have explored use of weekly paclitaxel and carboplatin for 4 to 6 weeks as dose dense chemotherapy prior to CCRT, adjuvant chemotherapy after CCRT in high risk patients. For patients with early stage disease (IA2-IIA), short course chemotherapy prior to surgery is associated with improved outcome in many studies. Bevacizumab- an inhibitor of vascular endothelial growth factor - is associated with improved survival. More recently, addition of treatment with immune check inhibitors (to boost the ability of T cells to destroy cancer cells) have improved responses and survival in the treatment of recurrent and metastatic cervical cancer. Whether these and other similar novel agents targeting molecular pathways could be brought in front line treatment along with cytotoxic chemotherapy along with bevacizumab are potential areas of current research.

Optimisation and evaluation of the random forest model in the efficacy prediction of chemoradiotherapy for advanced cervical cancer based on radiomics signature from high-resolution T2 weighted images

PURPOSE

Our objective was to establish a random forest model and to evaluate its predictive capability of the treatment effect of neoadjuvant chemotherapy-radiation therapy.

METHODS

This retrospective study included 82 patients with locally advanced cervical cancer who underwent scanning from March 2013 to May 2018. The random forest model was established and optimised based on the open source toolkit scikit-learn. Byoptimising of the number of decision trees in the random forest, the criteria for selecting the final partition index and the minimum number of samples partitioned by each node, the performance of random forest in the prediction of the treatment effect of neoadjuvant chemotherapy-radiation therapy on advanced cervical cancer (> IIb) was evaluated.

RESULTS

The number of decision trees in the random forests influenced the model performance. When the number of decision trees was set to 10, 25, 40, 55, 70, 85 and 100, the performance of random forest model exhibited an increasing trend first and then a decreasing one. The criteria for the selection of final partition index showed significant effects on the generation of decision trees. The Gini index demonstrated a better effect compared with information gain index. The area under the receiver operating curve for Gini index attained a value of 0.917.

CONCLUSION

The random forest model showed potential in predicting the treatment effect of neoadjuvant chemotherapy-radiation therapy based on high-resolution T2WIs for advanced cervical cancer (> IIb).