Objectives: The objective of this research is to apply machine learning (ML) algorithms to predict the survival of cervical cancer patients. The aim was to address the limitations of traditional statistical methods, which often fail to provide accurate answers due to the complexity of the problem. Methods: This research employed visualization techniques for initial data understanding. Subsequently, ML algorithms were used to develop both classification and regression models for survival prediction. In the classification models, we trained the algorithms to predict the time interval between the initial diagnosis and the patient’s death. The intervals were categorized as “<6 months,” “6 months to 3 years,” “3 years to 5 years,” and “>5 years.” The regression model aimed to predict survival time (in months). We used attribute weights to gain insights into the model, highlighting features with a significant impact on predictions and offering valuable insights into the model’s behavior and decision-making process. Results: The gradient boosting trees algorithm achieved an 81.55% accuracy in the classification model, while the random forest algorithm excelled in the regression model, with a root mean square error of 22.432. Notably, radiation doses around the affected areas significantly influenced survival duration. Conclusions Machine learning demonstrated the ability to provide high-accuracy predictions of survival periods in both classification and regression problems. This suggests its potential use as a decision-support tool in the process of treatment planning and resource allocation for each patient.

We present a case of cervical cancer treated by concurrent chemoradiation. In radiation therapy part, the combination of the whole pelvic helical tomotherapy plus image-guided brachytherapy with megavoltage computed tomography of helical tomotherapy was performed. We propose this therapeutic approach could be considered in a curative setting in some problematic situation as our institution.
Brachytherapy* ; Radiotherapy, Intensity-Modulated ; Uterine Cervical Neoplasms*

We present a case of cervical cancer treated by concurrent chemoradiation. In radiation therapy part, the combination of the whole pelvic helical tomotherapy plus image-guided brachytherapy with megavoltage computed tomography of helical tomotherapy was performed. We propose this therapeutic approach could be considered in a curative setting in some problematic situation as our institution.
Brachytherapy* ; Radiotherapy, Intensity-Modulated ; Uterine Cervical Neoplasms*

Purpose: Specific radiation delivered to tumors by stereotactic radiosurgery (SRS) has become widely used in the treatment of brain metastasis. This study aimed to compare radiation therapy planning and its parameters from SRS using three different modalities: helical tomotherapy (HT), volumetric modulated arc therapy (VMAT), and cone-based linac radiosurgery (Cone-based). Materials and Methods: Each contouring dataset of patents who experienced one to four brain metastasis received SRS in our center was re-planned to create radiation therapy planning in all three treatment systems (HT, VMAT, and Cone-based). The parameters of conformity index (CI), homogeneity index (HI), CI50, and gradient index (CGI) were analyzed to compare the effects of the three techniques. Decision score analysis was used to evaluate the performance on dosimetric and organs-at-risk parameters among the different techniques by applying the Cone-based technique as a benchmark. Results: A total of 21 patients with 39 lesions were included in this study. The results from the decision score analysis demonstrated statistically identical CI, CI50, and CGI values between Cone-based and VMAT for single lesions. For multiple lesions, VMAT also provided better CI when compared to Cone-based technique while HT exhibited the poorest dosimetric parameters. Moreover, VMAT exhibited the lowest BrainV5Gy value and displayed the shortest beam-on time calculation. Conclusion We have conducted a comprehensive comparison of SRS planning approaches. The Cone-based technique revealed the highest HI value, while VMAT provided the best estimated beam-on time value. HT displayed a feasible SRS modality for single lesions, but not for multiple lesions.

OBJECTIVE: To compare response rate and survivals of locally advanced stage cervical cancer patients who had standard concurrent chemoradiation therapy (CCRT) alone to those who had adjuvant chemotherapy (ACT) after CCRT. METHODS: Patients aged 18–70 years who had International Federation of Gynecology and Obstetrics stage IIB–IVA without para-aortic lymph node enlargement, Eastern Cooperative Oncology Group scores 0–2, and non-aggressive histopathology were randomized to have CCRT with weekly cisplatin followed by observation (arm A) or by ACT with paclitaxel plus carboplatin every 4 weeks for 3 cycles (arm B). RESULTS: Data analysis of 259 patients showed no significant difference in complete responses at 4 months after treatment between arm A (n=129) and arm B (n=130): 94.1% vs. 87.0% (p=0.154) respectively. With the median follow-up of 27.4 months, 15.5% of patients in arm A and 10.8% in arm B experienced recurrences (p=0.123). There were no significant differences of overall or loco-regional failure. However, systemic recurrences were significantly lower in arm B than arm A: 5.4% vs. 10.1% (p=0.029). The 3-year progression-free survival (PFS) and 3-year overall survival (OS) of the patients in both arms were not significantly different. The hazard ratio of PFS and OS of arm B compared to arm A were 1.26 (95% CI=0.82–1.96; p=0.293) and 1.42 (95% CI=0.81–2.49; p=0.221) respectively. CONCLUSIONS: ACT with paclitaxel plus carboplatin after CCRT did not improve response rate and survival compared to CCRT alone. Only significant decrease of systemic recurrences with ACT was observed, but not overall or loco-regional failure. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02036164 Thai Clinical Trials Registry Identifier: TCTR 20140106001
Arm ; Asian Continental Ancestry Group ; Carboplatin ; Chemoradiotherapy ; Chemotherapy, Adjuvant ; Cisplatin ; Disease-Free Survival ; Follow-Up Studies ; Gynecology ; Humans ; Lymph Nodes ; Obstetrics ; Paclitaxel ; Recurrence ; Statistics as Topic ; Uterine Cervical Neoplasms