Editorial: Recent developments in pancreatic cancer radiotherapy
Bibliographic record
Abstract
For patients with unresectable pancreatic cancer undergoing definitive radiotherapy, Chen et al carried out a detailed risk analysis on the treatment outcomes based on potential factors such as overall survival, local progression, distant metastases, carbohydrate antigen, neutrophil-to-lymphocyte ratio and so on. They analyzed the biological effective doses in this retrospective study, and found that incorporating new systemic treatments during and after a higher biological effective doses from radiotherapy for locally advanced pancreatic cancer is warranted. For novel treatment technique in pancreatic cancer, Feng et al developed a Haar feature-based method to track the endoscopic ultrasound probe in diagnostic CT and MRI scans for guiding the hydrogel injection in pancreatic cancer radiotherapy. The advantage of this method is that no external tracking hardware is needed when tracking the ultrasound probe. They tested and implemented this method using phantom and patient images, and concluded that their method can find the best matched endoscopic ultrasound image from the dictionary based on simulated images. The pancreas movement was tracked and studied using the synchrony respiratory tracking system in CyberKnife treatment by Jing et al. The pancreatic displacement was calculated from the patients' x-ray image set and the mean motion amplitudes in the SI, LR and AP directions were determined. They found that the tracking accuracy was affected by the tumour motion amplitude, location and treatment time. Jing et al therefore concluded that tumours at different locations should be treated differently for the best dose coverage. A retrospective study on stereotactic body radiotherapy combined with chemotherapy was carried out by Lee et al. The overall survival and local progression-free survival were determined for patients with the median follow-up period of 21.1 months. Lee et al found that stereotactic body radiotherapy followed by chemotherapy was an effective treatment strategy for selected patients with unresectable pancreatic cancer. Moreover, they found that simultaneous integrated protection and the MR-guided adaptive technique were worthwhile to implement in order to minimize the risk of adverse events. Carbon-ion beam has the advantage of a sharp dose distribution due to the characteristic of Bragg peak in pancreatic cancer radiotherapy. In the treatment planning of carbon-ion therapy, Kusano et al used the CT value replacement method to improve the plan dosimetry due to the influence of the gastrointestinal gas in the patient. They concluded that their method can directly be implemented in clinical practice without additional software and equipment.A retrospective patient study was carried out by Broggi et al to evaluate the patient outcomes for locally advanced pancreatic cancer treated with a combination of chemotherapy and hypofractionated radiotherapy in 15 fractions. Based on the dose-volume results, Broggi et al found that the risk of duodenal or gastric toxicities was related to the duodenum or stomach dose-volume histogram. The radiation delivery was evaluated by Arumugam et al using an in-house position monitoring system in pancreas stereotactic body radiotherapy. This in-house system is an online image-based position monitoring system using the radiopaque marker and the Elekta XVI imaging system. In the evaluation, the dosimetric impact due to position deviations and actual delivered dose after position corrections were assessed. From the dosimetric results, Arumugam et al concluded that their position monitoring system can improve the treatment accuracy using only a general linear accelerator. Another retrospective study was carried out by Cao et al to investigate the dose in the organs-at-risk and gastrointestinal toxicity, when re-irradiation of stereotactic body radiotherapy was needed for pancreatic cancer patient usually having local recurrence. Using the deformable image registration method, Cao et al determined various dose-volume variables such as V10 of the stomach and Dmean of the intestine in the re-irradiation. Jung et al conducted a clinical outcome evaluation for FOLFIRINOX as a popular systemic regimen followed by stereotactic body radiotherapy in locally advanced pancreatic cancer. In this retrospective study, patient outcome parameters such as overall survival, progression-free survival, resection rate, stereotactic body radiotherapy-related adverse events and prognostic factors were determined. From the result analysis, Jung et al concluded that the induction of FOLFIRINOZ followed by stereotactic body radiotherapy for locally advanced pancreatic cancer can lead to a better survival rate with manageable toxicities. On the radiation delivery, Ma et al proposed to carry out intensity-modulated electron therapy using mechanical scanning with a robotic arm on a linear accelerator. The beam scan is based on a zigzag pattern generated by an algorithm controlling various delivery parameters such as beam position, beam energy and stepand-shoot discrete scanning. The algorithm was evaluated using CT image set of 10 pancreatic cancer patients and from the result Ma et al concluded that intensity modulated electron therapy is potentially feasible in pancreatic cancer treatment undergoing intraoperative radiotherapy.We hope the results and findings in this book can be useful to our colleagues, clinicians and researchers in pancreatic cancer radiotherapy. We would also like to thank and congratulate all authors who contributed their insightful and significant works to this book.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.014 | 0.020 |
| Insufficient payload (model declined to judge) | 0.013 | 0.012 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".