The use of precision radiotherapy for the management of cancer related pain in the abdomen DOI
Aisling Glynn, Yaacov Richard Lawrence, Laura A. Dawson

et al.

Current Opinion in Supportive and Palliative Care, Journal Year: 2024, Volume and Issue: 19(1), P. 51 - 58

Published: Dec. 12, 2024

Abdominal pain due to cancer is a significant and debilitating symptom for patients, which commonly undertreated. Radiotherapy (RT) the management of abdominal underused, with limited awareness its benefit. This review presents discussion on current precision RT options in abdomen. Precision focuses delivering targeted effective radiation doses while minimizing damage surrounding healthy tissues. In patients primary or secondary liver cancer, has been shown significantly improve related majority patients. Also, sequelae tumour thrombus may be relieved use palliative RT. Similarly, single dose, high stereotactic celiac plexus pancreatic cancer. Pain response adrenal metastases less investigated, but small series suggest that body reduce alleviate pain. an option treatment should considered within multidisciplinary armamentarium, successfully integrated, alone conjunction other modalities, cancer-related

Language: Английский

Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives DOI
Nian‐Nian Zhong, Hanqi Wang, Xinyue Huang

et al.

Seminars in Cancer Biology, Journal Year: 2023, Volume and Issue: 95, P. 52 - 74

Published: July 18, 2023

Language: Английский

Citations

45
The Integration of Deep Learning in Radiotherapy: Exploring Challenges, Opportunities, and Future Directions through an Umbrella Review DOI Creative Commons
Andrea Lastrucci,

Yannick Wandael,

Renzo Ricci

et al.

Diagnostics, Journal Year: 2024, Volume and Issue: 14(9), P. 939 - 939

Published: April 30, 2024

This study investigates, through a narrative review, the transformative impact of deep learning (DL) in field radiotherapy, particularly light accelerated developments prompted by COVID-19 pandemic. The proposed approach was based on an umbrella review following standard checklist and qualification process. selection process identified 19 systematic studies. Through analysis current research, highlights revolutionary potential DL algorithms optimizing treatment planning, image analysis, patient outcome prediction radiotherapy. It underscores necessity further exploration into specific research areas to unlock full capabilities technology. Moreover, emphasizes intricate interplay between digital radiology revealing how advancements one can significantly influence other. interdependence is crucial for addressing complex challenges advancing integration cutting-edge technologies clinical practice. Collaborative efforts among researchers, clinicians, regulatory bodies are deemed essential effectively navigate evolving landscape By fostering interdisciplinary collaborations conducting thorough investigations, stakeholders fully leverage power enhance care refine therapeutic strategies. Ultimately, this promises usher new era personalized optimized radiotherapy improved outcomes.

Language: Английский

Citations

9
The Future of Oral Oncology: How Artificial Intelligence is Redefining Surgical Procedures and Patient Management DOI Creative Commons

Marwan Al‐Raeei

International Dental Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 1, 2024

The future of oral oncology is significantly influenced by the incorporation artificial intelligence (AI) technologies, such as surgical robotics and early histopathological diagnosis detection diseases. This article aims to explore transformative effects AI on identification cancer, emphasising potential improvements in patient outcomes effectiveness treatment options.

Language: Английский

Citations

6
Three-dimensional in vitro models in head and neck cancer: current trends and applications DOI

Masoumeh Amiri,

Tayebeh Sadat Tabatabai,

Zahra Seifi

et al.

Medical Oncology, Journal Year: 2025, Volume and Issue: 42(6)

Published: May 5, 2025

Language: Английский

Citations

0
Artificial intelligence in head and neck surgery: Potential applications and future perspectives DOI
Bartosz Wojtera, Mateusz Szewczyk, Piotr Pieńkowski

et al.

Journal of Surgical Oncology, Journal Year: 2024, Volume and Issue: 129(6), P. 1051 - 1055

Published: Feb. 28, 2024

Abstract Artificial intelligence (AI) has the potential to improve surgical treatment of patients with head and neck cancer. AI algorithms can analyse a wide range data, including images, voice, molecular expression raw clinical data. In field oncology, there are numerous practical applications, diagnostics treatment. also develop predictive models assess prognosis, overall survival, likelihood occult metastases, risk complications hospital length stay.

Language: Английский

Citations

3
Optimization of Replanning Processes for Volumetric Modulated Arc Therapy Plans at Risk of QA Failure Predicted by a Machine Learning Model DOI Creative Commons
Nicola Lambri,

Caterina Zaccone,

Monica Bianchi

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(14), P. 6103 - 6103

Published: July 12, 2024

Patient-specific quality assurance (PSQA) procedures ensure the safe delivery of volumetric modulated arc therapy (VMAT) plans. PSQA requires extensive time and resources may cause treatment delays if replanning is needed due to failures. Recently, our group developed a machine learning (ML) model predicting gamma passing rate (GPR) for VMAT arcs. This study explores automatable strategies plans identified at risk failure, aiming improve deliverability while maintaining dosimetric quality. Between 2022 2023, ML analyzed 1252 Ten patients having predicted GPR (pGPR) <95% were selected. Replanning consisted limiting monitor units (MUlimit) employing aperture shape controller (ASC) tool. Re-optimized compared with originals in terms dose volume constraints (DVCs) target organs-at-risk (OARs), using modulation complexity score (MCS), pGPR, measured (mGPR). Forty-five re-optimizations performed. led an increase DVCs OARs reduction target. Complexity decreased, reflected by MCS from 0.17 0.21 0.20 (ASC). The improved, pGPR increasing 93.3% 94.4% 95.1% (ASC), mGPR 99.3% 99.7% 99.8% Limiting MUs or utilizing ASC reduced improved without compromising These can be used automate procedures, reduce workload related PSQA, patient safety.

Language: Английский

Citations

1
The use of precision radiotherapy for the management of cancer related pain in the abdomen DOI
Aisling Glynn, Yaacov Richard Lawrence, Laura A. Dawson

et al.

Current Opinion in Supportive and Palliative Care, Journal Year: 2024, Volume and Issue: 19(1), P. 51 - 58

Published: Dec. 12, 2024

Abdominal pain due to cancer is a significant and debilitating symptom for patients, which commonly undertreated. Radiotherapy (RT) the management of abdominal underused, with limited awareness its benefit. This review presents discussion on current precision RT options in abdomen. Precision focuses delivering targeted effective radiation doses while minimizing damage surrounding healthy tissues. In patients primary or secondary liver cancer, has been shown significantly improve related majority patients. Also, sequelae tumour thrombus may be relieved use palliative RT. Similarly, single dose, high stereotactic celiac plexus pancreatic cancer. Pain response adrenal metastases less investigated, but small series suggest that body reduce alleviate pain. an option treatment should considered within multidisciplinary armamentarium, successfully integrated, alone conjunction other modalities, cancer-related

Language: Английский

Citations

0