Evaluating different radiotherapy treatment plans, in terms of critical organ scoring index, conformity index, tumor control probability, and normal tissue complication probability calculations in early glottic larynx carcinoma

Inal, Aysun; Duman, Evrim; Ozkan, Elif E

doi:10.4103/jcrt.jcrt_888_18

Cited by 6 publications

(3 citation statements)

References 38 publications

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“…It is worth noting that significant efforts have been made to move away from conventional radiotherapy for early-stage glottic cancer and toward alternative planning techniques such as IMRT or VMAT [17][18][19] . Our study reveals that the use of 3D-CRT with oblique beams, as opposed to conventional techniques with opposed lateral fields, produces results that approach those of IMRT.…”

Section: Discussionmentioning

confidence: 99%

Comparison of Carotid Artery Dose in Early-Stage Glottic Cancer Treated with 3D-Conformal, Helical-IMRT and VMAT

Pires,

Rothwell,

Guimarães

et al. 2022

Forum of Clinical Oncology

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Background The aim of this study was to compare the dosimetry of carotid arteries (CAs) using three radiation therapy (RT) techniques, three-dimensional conformal RT (3D-CRT), helical tomotherapy-intensity-modulated RT (HT-IMRT), and volumetric modulated arc therapy (VMAT), in patients with early-stage glottic cancer. Patients and Methods A retrospective analysis of 28 patients was performed, and the right and left CAs were delineated. Mean and maximum dose (Dmax) values were compared across the three treatment techniques. Results The results indicate that 3D-CRT plans had the highest mean and maximum doses to CAs, while VMAT plans had the lowest doses. Conclusions Our study demonstrates the feasibility of sparing CAs with newer RT modalities. Further clinical studies are needed to determine if these techniques can reduce carotid stenosis-related events.

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Section: Discussionmentioning

confidence: 99%

Comparison of Carotid Artery Dose in Early-Stage Glottic Cancer Treated with 3D-Conformal, Helical-IMRT and VMAT

Pires,

Rothwell,

Guimarães

et al. 2022

Forum of Clinical Oncology

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“…The anatomical structure on which the radiation oncologist’s attention is most focused is the spinal cord of the cervical tract, which often after an adjuvant or exclusive treatment at a variable dose between 64 and 70 Gy, has already absorbed a medium-high dose of radiation (about 25–35 Gy). The main consequence is that re-irradiation is not always feasible in these patients [ 13 , 14 , 15 ].…”

Section: The Evolving Role Of Re-irradiation (Curative or Palliative Intent)mentioning

confidence: 99%

Recurrent/Metastatic Squamous Cell Carcinoma of the Head and Neck: A Big and Intriguing Challenge Which May Be Resolved by Integrated Treatments Combining Locoregional and Systemic Therapies

Ionna¹,

Bossi

Guida³

et al. 2021

Cancers

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Squamous cell carcinoma of the head and neck (SCCHN) is a complex group of malignancies, posing several challenges to treating physicians. Most patients are diagnosed with a locally advanced disease and treated with strategies integrating surgery, chemotherapy, and radiotherapy. About 50% of these patients will experience a recurrence of disease. Recurrent/metastatic SCCHN have poor prognosis with a median survival of about 12 months despite treatments. In the last years, the strategy to manage recurrent/metastatic SCCHN has profoundly evolved. Salvage treatments (surgery or re-irradiation) are commonly employed in patients suffering from locoregional recurrences and their role has gained more and more importance in the last years. Re-irradiation, using some particularly fractionating schedules, has the dual task of reducing the tumor mass and eliciting an immune response against cancer (abscopal effect). In this review, we will analyze the main systemic and/or locoregional strategies aimed at facing the recurrent/metastatic disease, underlining the enormous importance of the multidisciplinary approach in these types of patients.

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“…Treatment planning for HNC is challenging: expertise in both the medical (i.e., knowledge of complex HN anatomy and patterns of disease recurrence, awareness of tolerance of healthy tissues to irradiation) and in the physical field (i.e., coverage of irregularly shaped target volumes, multiple dose prescription levels) is required, and timely delivery of radiotherapy (RT) is mandatory not to compromise oncological outcomes ( 33 ). In recent years, an increasing body of evidence has demonstrated that geometrical and anatomical variations can occur during the course of curative-intent treatments for HNC, thus leading to potentially meaningful modifications in dose distribution.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning for Head and Neck Cancer: A Safe Bet?—A Clinically Oriented Systematic Review for the Radiation Oncologist

et al. 2021

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Background and PurposeMachine learning (ML) is emerging as a feasible approach to optimize patients’ care path in Radiation Oncology. Applications include autosegmentation, treatment planning optimization, and prediction of oncological and toxicity outcomes. The purpose of this clinically oriented systematic review is to illustrate the potential and limitations of the most commonly used ML models in solving everyday clinical issues in head and neck cancer (HNC) radiotherapy (RT).Materials and MethodsElectronic databases were screened up to May 2021. Studies dealing with ML and radiomics were considered eligible. The quality of the included studies was rated by an adapted version of the qualitative checklist originally developed by Luo et al. All statistical analyses were performed using R version 3.6.1.ResultsForty-eight studies (21 on autosegmentation, four on treatment planning, 12 on oncological outcome prediction, 10 on toxicity prediction, and one on determinants of postoperative RT) were included in the analysis. The most common imaging modality was computed tomography (CT) (40%) followed by magnetic resonance (MR) (10%). Quantitative image features were considered in nine studies (19%). No significant differences were identified in global and methodological scores when works were stratified per their task (i.e., autosegmentation).Discussion and ConclusionThe range of possible applications of ML in the field of HN Radiation Oncology is wide, albeit this area of research is relatively young. Overall, if not safe yet, ML is most probably a bet worth making.

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Evaluating different radiotherapy treatment plans, in terms of critical organ scoring index, conformity index, tumor control probability, and normal tissue complication probability calculations in early glottic larynx carcinoma

Cited by 6 publications

References 38 publications

Comparison of Carotid Artery Dose in Early-Stage Glottic Cancer Treated with 3D-Conformal, Helical-IMRT and VMAT

Comparison of Carotid Artery Dose in Early-Stage Glottic Cancer Treated with 3D-Conformal, Helical-IMRT and VMAT

Recurrent/Metastatic Squamous Cell Carcinoma of the Head and Neck: A Big and Intriguing Challenge Which May Be Resolved by Integrated Treatments Combining Locoregional and Systemic Therapies

Machine Learning for Head and Neck Cancer: A Safe Bet?—A Clinically Oriented Systematic Review for the Radiation Oncologist

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