ABSTRACT
Purpose: We aimed to establish a nomogram model based on computed tomography (CT) imaging radiomic signature and clinical factors to predict the risk of local recurrence in nasopharyngeal carcinoma (NPC) after intensity-modulated radiotherapy (IMRT). Methods: This was a retrospective study consisting of 156 NPC patients treated with IMRT. Radiomics features were extracted from the gross tumor volume for nasopharynx (GTVnx) in pretreatment CT images for patients with or without local recurrence. Discriminative radiomics features were selected after t-test and the least absolute shrinkage and selection operator (LASSO) analysis. The most stable model was obtained to generate radiomics signature (Rad_Score) by using machine learning models including Logistic Regression, K-Nearest neighbor, Naive Bayes, Decision Tree, Stochastic Gradient Descent, Gradient Booting Tree and Linear Support Vector Classification. A nomogram for local recurrence was established based on Rad_Score and clinical factors. The predictive performance of nomogram was evaluated by discrimination ability and calibration ability. Decision Curve Analysis (DCA) was used to evaluate the clinical benefits of the multi-factor nomogram in predicting local recurrence after IMRT. Results: Local recurrence occurred in 42 patients. A total of 1,452 radiomics features were initially extracted and seven stable features finally selected after LASSO analysis were used for machine learning algorithm modeling to generate Rad_Score. The nomogram showed that the greater Rad_Score was associated with the higher risk of local recurrence. The concordance index, specificity and sensitivity in the training cohort were 0.931 (95%CI:0.8765-0.9856), 91.2 and 82.8%, respectively; whereas, in the validation cohort, they were 0.799 (95%CI: 0.6458-0.9515), 79.4, and 69.2%, respectively. Conclusion: The nomogram based on radiomics signature and clinical factors can predict the risk of local recurrence after IMRT in patients with NPC and provide evidence for early clinical intervention.
ABSTRACT
PURPOSE: We aimed to evaluate the long-term survival outcomes of concurrent chemoradiotherapy (CCRT) combined with nimotuzumab followed by surgery in patients with locally advanced cervical cancer (LACC). PATIENTS AND METHODS: Patients received whole pelvic intensity-modulated radiation therapy (IMRT) and concomitantly with weekly cisplatin (40 mg/m2) or nedaplatin (30 mg/m2) and weekly nimotuzumab (200 mg). After assessment of the treatment response, patients then underwent radical surgery. RESULTS: Between June 2013 and July 2016, 33 patients with FIGO IB2-IIIB cervical cancer were recruited. Clinical complete response and partial response were observed in 8 (24.3%) and 23 patients (69.7%), respectively. Twenty-seven patients (81.8%) were successfully treated with radical hysterectomy and pelvic lymphadenectomy: 9 (33.3%) showed pathological complete response; 10 (37.1%) showed partial response and 8 (29.6%) presented with persistent macroscopic/microscopic residual carcinoma. For the intention-to-treat population, the median follow-up time was 53.7 months. Locoregional recurrence and distant metastases were observed in three and seven patients, respectively. The 5-year overall survival, progression-free survival, locoregional recurrence-free survival, and distant metastasis-free survival were 81.5%, 72.7%, 90.9%, and 78.3%, respectively. Both acute and late toxicities were manageable and mainly limited to grade 1 or 2. CONCLUSION: Concurrent chemoradiotherapy combined with nimotuzumab followed by surgery for patients with LACC is safe and results in excellent long-term treatment outcomes. Further randomized controlled studies are warranted to confirm the findings.
