scholarly journals Regression Analysis of Rectal Cancer and Possible Application of Artificial Intelligence (AI) Utilization in Radiotherapy

2022 ◽  
Vol 12 (2) ◽  
pp. 725
Author(s):  
Majdi Alnowami ◽  
Fouad Abolaban ◽  
Hussam Hijazi ◽  
Andrew Nisbet

Artificial Intelligence (AI) has been widely employed in the medical field in recent years in such areas as image segmentation, medical image registration, and computer-aided detection. This study explores one application of using AI in adaptive radiation therapy treatment planning by predicting the tumor volume reduction rate (TVRR). Cone beam computed tomography (CBCT) scans of twenty rectal cancer patients were collected to observe the change in tumor volume over the course of a standard five-week radiotherapy treatment. In addition to treatment volume, patient data including patient age, gender, weight, number of treatment fractions, and dose per fraction were also collected. Application of a stepwise regression model showed that age, dose per fraction and weight were the best predictors for tumor volume reduction rate.

2021 ◽  
Author(s):  
Chi-hsien Huang ◽  
Ting-Chun Lin ◽  
Ming-Yu Lien ◽  
Fu-Ming Cheng ◽  
Kai-Chiun Li ◽  
...  

Abstract BackgroundAim of this study was to evaluate the prognostic of tumor volume reduction rate (TVRR) status post induction chemotherapy (IC) in LA-HNSCC.MethodsPatients with newly diagnosed LA-HNSCC from year 2007 to 2016 at a single center were included in this retrospective study. All patients had received IC as TPF (taxotere, platinum, fluorouracil) followed by daily definitive intensity-modulated radiotherapy (IMRT) for 70 Gy in 35 fractions concurrent with or without cisplatin-based chemotherapy. Tumor volume reduction rate of the primary tumor (TVRR-T) and lymph node (TVRR-N) was measured and calculated by contrast-enhanced CT images at diagnosis, and one month after final IC cycle, and analyzed though a univariate and multivariate Cox regression model.ResultsNinety patients of the primary cancer sites at hypopharynx (31/90, 34.4%), oropharynx (29/90, 32.2%), oral cavity (19/90, 21.1%) and larynx (11/90, 12.2%) were included in this study, with a median follow-up time interval of 3.9 years. In univariate Cox regression analysis, the TVRR-T as the only variable showed a significant difference for disease-free survival (DFS) (hazard ratio [HR] 0.77, 95% confidence interval (CI) 0.63 to 0.96; P = 0.02), aside from cancer site, RECIST, age and IC dose. In multivariate Cox regression analysis, The TVRR-T was also an independently significant prognostic factor for DFS (HR 0.77, 95% CI 0.62 to 0.97; P = 0.02). At a cutoff value using TVRR-T of 50% in Kaplan-Meier survival analysis, the DFS was significant higher with TVRR-T ≥ 50% group (log-rank test, p = 0.024), and also a trend of improved OS. (log-rank test, p = 0.069).ConclusionsTVRR-T was related to improved DFS and trend of improved OS. Other factors including patient’s age at diagnosis, the primary cancer site, and RECIST, were not significantly related to DFS.


2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 3547-3547 ◽  
Author(s):  
Kjersti Flatmark ◽  
Knut Hakon Hole ◽  
Marie Gron Saelen ◽  
Torveig Weum Abrahamsen ◽  
Karianne Giller Fleten ◽  
...  

3547 Background: The use of oxaliplatin (OXA) is well established in adjuvant and palliative treatment of colorectal cancer (CRC), but its role in neoadjuvant treatment of locally advanced rectal cancer (LARC) is controversial. Data from the ACCORD 12/0405, STAR-01 and NSABBP R-04 trials suggest no additional clinical benefit of adding OXA to fluoropyrimidine-based preoperative chemoradiotherapy (CRT) in LARC. However, the possibility of reducing risk of systemic recurrence and the use of OXA-containing neoadjuvant chemotherapy (NACT) in liver metastasis warrant further clarification of the role of OXA in neoadjuvant treatment of LARC. Methods: We report results from a non-randomized phase II trial of neoadjuvant treatment of 72 LARC patients, receiving two courses of the Nordic FLOX regimen prior to CRT (25 x 2 Gy; weekly OXA; daily capecitabine). Tumor volumes were calculated from MRI scans taken before and after NACT and 4 weeks after CRT completion. Using OXA resistant human CRC cell lines, the impact of previous OXA exposure on radiosensitivity (1-5 Gy) was examined. Results: Median baseline tumor volume was 16.6 cm3 (1.1-293 cm3). All tumors, except one, responded to NACT, leaving a median tumor volume of 5.3 cm3 (0.2-157 cm3), representing a median volume reduction of 63%. In all but three patients, additional tumor volume reduction was observed following subsequent CRT (median tumor volume 5.3 cm3; 0.02-119 cm3; median volume reduction of 68%). Exposure of cell lines to increasing concentrations of OXA resulted in resistance towards the drug. OXA resistant models exhibited increased radiosensitivity compared to OXA sensitive counterparts. Conclusions: OXA-containing NACT led to substantial tumor volume reduction. Additional tumor volume reduction was observed in almost all cases, suggesting that pretreatment with OXA-containing NACT did not preclude tumor response to CRT. Results from experimental models rather suggest that pretreatment with OXA might enhance radiosensitivity of surviving OXA resistant cells. Taken together, our results are in favor of continued exploration of OXA-containing NACT in LARC. Clinical trial information: NCT00278694.


2020 ◽  
Vol 08 (10) ◽  
pp. E1511-E1519
Author(s):  
Sabrina Gloria Giulia Testoni ◽  
Gabriele Capurso ◽  
Maria Chiara Petrone ◽  
Maurizio Barbera ◽  
Walter Linzenbold ◽  
...  

Abstract Background and study aims Endoscopic ultrasound (EUS)-guided ablation of pancreatic ductal adenocarcinoma (PDAC) with HybridTherm-Probe (EUS-HTP) is feasible and safe, but the radiological response and ideal tool to measure it have not been investigated yet. The aims of this study were to: 1) assess the radiological response to EUS-HTP evaluating the vital tumor volume reduction rate, Response Evaluation Criteria in Solid Tumors (RECIST1.1) and Choi criteria; 2) determine the prognostic predictive yield of these criteria. Patients and methods A retrospective analysis was performed of patients with locally advanced PDAC after primary treatment or unfit for chemotherapy prospectively treated by EUS-HTP. Computed tomography scan was performed 1 month after EUS-HTP to evaluate: 1) vital tumor volume reduction rate (VTVRR) by measuring necrosis and tumor volumes through a computer-aided detection system; and 2) RECIST1.1 and Choi criteria. Results EUS-HTP was feasible in 22 of 31 patients (71 %), with no severe adverse events. Median post-HTP survival was 7 months (1 – 35). Compared to pre-HTP tumor volume, a significant 1-month VTVRR (mean 21.4 %) was observed after EUS-HTP (P = 0.005). We identified through ROC analysis a VTVRR > 11.46 % as the best cut-off to determine post-HTP 6-month survival outcome (AUC = 0.733; sensitivity = 70.0 %, specificity = 83.3 %). This cut-off was significantly associated with longer overall survival (HR = 0.372; P = 0.039). According to RECIST1.1 and Choi criteria, good responders to EUS-HTP were 60 % and 46.7 %, respectively. Good responders according to Choi, but not to RECIST1.1, had longer survival (HR = 0.407; P = 0.04). Conclusions EUS-HTP induces a significant 1-month VTVRR. This effect is assessed accurately by evaluation of necrosis and tumor volumes. Use of VTVRR and Choi criteria, but not RECIST 1.1 criteria, might identify patients who could benefit clinically from EUS-HTP.


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