Literature DB >> 32256219

Predicting toxicity for head and neck cancer patients undergoing radiation therapy: an independent and external validation of MDASI-HN based nomogram.

Nishant Vidyasagar1, Janaki Manur Gururajachar1.   

Abstract

AIM: We conducted a study to validate the MDASI-HN based nomogram, which is used to predict the acute toxicities in head and neck cancer patients undergoing radiation therapy with or without chemotherapy.
BACKGROUND: Tolerance to radiation varies from patient to patient and also depends on various other factors like tumor volume, dose of radiation, chemotherapy. Predicting the toxicities allow us to identify potential candidates who are likely to have a higher toxicity and, in addition, evaluates the nomogram when done on an independent group of patients.
MATERIALS AND METHODS: Sixty biopsy confirmed head and neck cancer patients undergoing radiation were the subjects of the study. The patients completed patient reported outcome instrument (PRO) MDASI-HN questionnaire at the beginning and at the fifth week of radiation. The baseline score obtained was used to obtain the predicted score using nomogram. The nomogram was also externally validated as per the TRIPOD guidelines.
RESULTS: The mean baseline, predicted and score at the fifth week were 27.28 ± 11.04, 73.33 ± 15.51 and 82.62 ± 17.67, respectively, for all sub-sites. A positive, significant correlation (p < 0.01) between the predicted score and the score at the fifth week was seen across all sub sites such as Oral cavity (p = 0.05), Oropharynx (p = 0.02), Hypo pharynx (p = 0.02) and Larynx (p = 0.02).
CONCLUSION: The MDASI-HN questionnaire based nomogram is simple, easily doable and takes into consideration the initial symptoms as well the treatment details; thereby, it is able to predict the toxicities accurately.
© 2020 Greater Poland Cancer Centre. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Head and neck cancer; Mucositis; Nomogram; PRO; Radiotherapy; Toxicity prediction

Year:  2020        PMID: 32256219      PMCID: PMC7103655          DOI: 10.1016/j.rpor.2020.03.005

Source DB:  PubMed          Journal:  Rep Pract Oncol Radiother        ISSN: 1507-1367


  11 in total

Review 1.  Indian National Cancer Control Programme: setting sight on shifting targets.

Authors:  Rajiv Sarin
Journal:  J Cancer Res Ther       Date:  2005 Oct-Dec       Impact factor: 1.805

2.  Effects of nutritional intervention in head and neck cancer patients undergoing radiotherapy: A prospective randomized clinical trial.

Authors:  Wen-Xing Kang; Wentao Li; Shi-Gao Huang; Yazhang Dang; Hongxiang Gao
Journal:  Mol Clin Oncol       Date:  2016-06-30

3.  Trends of prevalence and pathological spectrum of head and neck cancers in North India.

Authors:  Ravi Mehrotra; Mamata Singh; Raj Kishore Gupta; Manish Singh; Anil K Kapoor
Journal:  Indian J Cancer       Date:  2005 Apr-Jun       Impact factor: 1.224

Review 4.  Rethinking nutritional support of the cancer patient: the new field of nutritional oncology.

Authors:  F D Ottery
Journal:  Semin Oncol       Date:  1994-12       Impact factor: 4.929

5.  Parotid-sparing intensity modulated versus conventional radiotherapy in head and neck cancer (PARSPORT): a phase 3 multicentre randomised controlled trial.

Authors:  Christopher M Nutting; James P Morden; Kevin J Harrington; Teresa Guerrero Urbano; Shreerang A Bhide; Catharine Clark; Elizabeth A Miles; Aisha B Miah; Kate Newbold; MaryAnne Tanay; Fawzi Adab; Sarah J Jefferies; Christopher Scrase; Beng K Yap; Roger P A'Hern; Mark A Sydenham; Marie Emson; Emma Hall
Journal:  Lancet Oncol       Date:  2011-01-12       Impact factor: 41.316

6.  Meta-analysis of chemotherapy in head and neck cancer (MACH-NC): an update on 93 randomised trials and 17,346 patients.

Authors:  Jean-Pierre Pignon; Aurélie le Maître; Emilie Maillard; Jean Bourhis
Journal:  Radiother Oncol       Date:  2009-05-14       Impact factor: 6.280

Review 7.  Mucositis incidence, severity and associated outcomes in patients with head and neck cancer receiving radiotherapy with or without chemotherapy: a systematic literature review.

Authors:  Andy Trotti; Lisa A Bellm; Joel B Epstein; Diana Frame; Henry J Fuchs; Clement K Gwede; Eugene Komaroff; Luba Nalysnyk; Marya D Zilberberg
Journal:  Radiother Oncol       Date:  2003-03       Impact factor: 6.280

8.  Nomogram for predicting symptom severity during radiation therapy for head and neck cancer.

Authors:  Tommy Sheu; Clifton David Fuller; Tito R Mendoza; Adam S Garden; William H Morrison; Beth M Beadle; Jack Phan; Steven J Frank; Ehab Y Hanna; Charles Lu; Charles S Cleeland; David I Rosenthal; G Brandon Gunn
Journal:  Otolaryngol Head Neck Surg       Date:  2014-08-07       Impact factor: 3.497

9.  The M. D. Anderson symptom inventory-head and neck module, a patient-reported outcome instrument, accurately predicts the severity of radiation-induced mucositis.

Authors:  David I Rosenthal; Tito R Mendoza; Mark S Chambers; V Shannon Burkett; Adam S Garden; Amy C Hessell; Jan S Lewin; K Kian Ang; Merrill S Kies; Ibrahima Gning; Xin S Wang; Charles S Cleeland
Journal:  Int J Radiat Oncol Biol Phys       Date:  2008-05-22       Impact factor: 7.038

10.  Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration.

Authors:  Karel G M Moons; Douglas G Altman; Johannes B Reitsma; John P A Ioannidis; Petra Macaskill; Ewout W Steyerberg; Andrew J Vickers; David F Ransohoff; Gary S Collins
Journal:  Ann Intern Med       Date:  2015-01-06       Impact factor: 25.391

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.