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Bansal A, Bedi N, Kaur R, Singh G, Benipal RPS, Dangwal V. Correlation of oral mucosa dose and volume parameters with Grade 3 mucositis, in patients treated with volumetric modulated arc radiotherapy for oropharyngeal cancer? Jpn J Clin Oncol 2022; 53:313-320. [PMID: 36546704 DOI: 10.1093/jjco/hyac194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 11/30/2022] [Indexed: 12/24/2022] Open
Abstract
Abstract
Background
Oral mucositis is the dose-limiting toxicity of chemoradiation in oropharyngeal cancer patients, which can be minimized by giving constraints to oral mucosa. However, the constraints defined in literature are extrapolated from chemoradiation in head and neck cancers as a whole. This study aims to determine oral mucosa dose-volume parameters that can predict grade ≥ 3 acute oral mucositis in oropharyngeal cancer patients treated with volumetric modulated arc radiotherapy.
Methods
This prospective study was done in 52 patients of locally advanced oropharyngeal cancer treated with Volumetric modulated arc radiotherapy. Dose-volume histogram data were extracted and then acute oral mucosa toxicity was analysed. Receiver operating characteristic analysis and logistic regression were carried out to determine predictive factors for grade ≥ 3 mucositis.
Results
Grade ≥ 3 acute oral mucositis occurred in 57.6% (30/52) patients in the study. V30Gy > 53.35% (P = 0.005) was an independent dosimetric factor related to grade ≥ 3 acute toxicity. In the receiver operating characteristic curve, the area under V30Gy was 0.770 (P = 0.001); the cut-off value of V30 was 46.23% (sensitivity, 0.80; specificity, 0.91).
Conclusions
Dose-volume histogram analysis predicts V30 > 53.35% as independent factors for grade ≥ 3 acute oral mucositis in patients with oropharyngeal cancers treated with Volumetric modulated arc radiotherapy. Studies in future with more patient number can further validate the above results.
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Affiliation(s)
- Anshuma Bansal
- Department of Radiation Oncology, Government Medical College, Rajindra Hospital Patiala , Punjab , India
| | - Neeru Bedi
- Department of Radiation Oncology, Government Medical College, Rajindra Hospital Patiala , Punjab , India
| | - Ripanpreet Kaur
- Department of Radiation Oncology, Government Medical College, Rajindra Hospital Patiala , Punjab , India
| | - Gurpreet Singh
- Department of Radiation Oncology, Government Medical College, Rajindra Hospital Patiala , Punjab , India
| | | | - Vinod Dangwal
- Department of Radiation Oncology, Government Medical College, Rajindra Hospital Patiala , Punjab , India
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Kaur RP, Vasudeva K, Singla H, Benipal RPS, Khetarpal P, Munshi A. Analysis of pro‐ and anti‐inflammatory cytokine gene variants and serum cytokine levels as prognostic markers in breast cancer. J Cell Physiol 2018; 233:9716-9723. [DOI: 10.1002/jcp.26901] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2018] [Accepted: 06/12/2018] [Indexed: 12/27/2022]
Affiliation(s)
- Raman Preet Kaur
- Department of Human Genetics and Molecular Medicine Central University of Punjab Bathinda India
| | - Kanika Vasudeva
- Department of Human Genetics and Molecular Medicine Central University of Punjab Bathinda India
| | - Heena Singla
- Department of Human Genetics and Molecular Medicine Central University of Punjab Bathinda India
| | | | - Preeti Khetarpal
- Department of Human Genetics and Molecular Medicine Central University of Punjab Bathinda India
| | - Anjana Munshi
- Department of Human Genetics and Molecular Medicine Central University of Punjab Bathinda India
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