دورية أكاديمية
أعرض في EDS

Cluster-Based Toxicity Estimation of Osteoradionecrosis Via Unsupervised Machine Learning: Moving Beyond Single Dose-Parameter Normal Tissue Complication Probability by Using Whole Dose-Volume Histograms for Cohort Risk Stratification.

التفاصيل البيبلوغرافية
العنوان: Cluster-Based Toxicity Estimation of Osteoradionecrosis Via Unsupervised Machine Learning: Moving Beyond Single Dose-Parameter Normal Tissue Complication Probability by Using Whole Dose-Volume Histograms for Cohort Risk Stratification.
المؤلفون: Hosseinian S; Department of Mechanical and Materials Engineering, University of Cincinnati, Cincinnati, Ohio. Electronic address: s.hosseinian@uc.edu., Hemmati M; School of Industrial and Systems Engineering, University of Oklahoma, Norman, Oklahoma., Dede C; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas., Salzillo TC; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas., van Dijk LV; Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands., Mohamed ASR; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas; Department of Radiation Oncology, Baylor College of Medicine, Houston, Texas., Lai SY; Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas., Schaefer AJ; Department of Computational Applied Mathematics & Operations Research, Rice University, Houston, Texas., Fuller CD; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas; Department of Computational Applied Mathematics & Operations Research, Rice University, Houston, Texas. Electronic address: cdfuller@mdanderson.org.
المصدر: International journal of radiation oncology, biology, physics [Int J Radiat Oncol Biol Phys] 2024 Aug 01; Vol. 119 (5), pp. 1569-1578. Date of Electronic Publication: 2024 Mar 10.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Elsevier, Inc Country of Publication: United States NLM ID: 7603616 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-355X (Electronic) Linking ISSN: 03603016 NLM ISO Abbreviation: Int J Radiat Oncol Biol Phys Subsets: MEDLINE
أسماء مطبوعة: Publication: New York, NY : Elsevier, Inc
Original Publication: Elmsford, N. Y., Pergamon Press.
مواضيع طبية MeSH: Osteoradionecrosis*/etiology , Unsupervised Machine Learning* , Head and Neck Neoplasms*/radiotherapy , Mandible*/radiation effects, Humans ; Retrospective Studies ; Male ; Female ; Middle Aged ; Risk Assessment ; Aged ; Radiotherapy Dosage ; Cluster Analysis ; Probability ; Organs at Risk/radiation effects ; Adult ; Mandibular Diseases/etiology ; Support Vector Machine
مستخلص: Purpose: Given the limitations of extant models for normal tissue complication probability estimation for osteoradionecrosis (ORN) of the mandible, the purpose of this study was to enrich statistical inference by exploiting structural properties of data and provide a clinically reliable model for ORN risk evaluation through an unsupervised-learning analysis that incorporates the whole radiation dose distribution on the mandible.
Methods and Materials: The analysis was conducted on retrospective data of 1259 patients with head and neck cancer treated at The University of Texas MD Anderson Cancer Center between 2005 and 2015. During a minimum 12-month posttherapy follow-up period, 173 patients in this cohort (13.7%) developed ORN (grades I to IV). The (structural) clusters of mandibular dose-volume histograms (DVHs) for these patients were identified using the K-means clustering method. A soft-margin support vector machine was used to determine the cluster borders and partition the dose-volume space. The risk of ORN for each dose-volume region was calculated based on incidence rates and other clinical risk factors.
Results: The K-means clustering method identified 6 clusters among the DVHs. Based on the first 5 clusters, the dose-volume space was partitioned by the soft-margin support vector machine into distinct regions with different risk indices. The sixth cluster entirely overlapped with the others; the region of this cluster was determined by its envelopes. For each region, the ORN incidence rate per preradiation dental extraction status (a statistically significant, nondose related risk factor for ORN) was reported as the corresponding risk index.
Conclusions: This study presents an unsupervised-learning analysis of a large-scale data set to evaluate the risk of mandibular ORN among patients with head and neck cancer. The results provide a visual risk-assessment tool for ORN (based on the whole DVH and preradiation dental extraction status) as well as a range of constraints for dose optimization under different risk levels.
(Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)
التعليقات: Update of: medRxiv. 2023 Mar 29:2023.03.24.23287710. doi: 10.1101/2023.03.24.23287710. (PMID: 37034700)
References: Int J Radiat Oncol Biol Phys. 2016 Nov 15;96(4):820-831. (PMID: 27788955)
Int J Radiat Oncol Biol Phys. 2013 Feb 1;85(2):514-21. (PMID: 22583606)
Eur J Surg Oncol. 2008 Oct;34(10):1123-34. (PMID: 18455907)
Int J Radiat Oncol Biol Phys. 1980 May;6(5):543-8. (PMID: 7410128)
Radiother Oncol. 2014 Oct;113(1):95-101. (PMID: 25443500)
Radiother Oncol. 2012 Apr;103(1):82-7. (PMID: 22444242)
Clin Transl Radiat Oncol. 2018 Jan;8:27-39. (PMID: 29399642)
Int J Radiat Oncol Biol Phys. 2021 Oct 1;111(2):549-558. (PMID: 33965514)
Cancer Treat Rev. 2002 Feb;28(1):65-74. (PMID: 12027415)
Int J Radiat Oncol Biol Phys. 2010 Mar 1;76(3 Suppl):S10-9. (PMID: 20171502)
Int J Nurs Sci. 2019 Jun 03;6(3):278-282. (PMID: 31508447)
Int Dent J. 2018 Feb;68(1):22-30. (PMID: 28649774)
Radiother Oncol. 2012 Oct;105(1):86-93. (PMID: 21632133)
Int J Part Ther. 2021 Jun 25;8(1):95-107. (PMID: 34285939)
Cancer Treat Rev. 2018 Sep;69:177-187. (PMID: 30055439)
Anticancer Res. 2019 Dec;39(12):6787-6798. (PMID: 31810944)
Oral Oncol. 2010 Nov;46(11):795-801. (PMID: 20843728)
Acta Oncol. 2019 Oct;58(10):1373-1377. (PMID: 31364903)
Int J Radiat Oncol Biol Phys. 2013 Feb 1;85(2):415-20. (PMID: 22795804)
Curr Opin Otolaryngol Head Neck Surg. 2005 Aug;13(4):217-21. (PMID: 16012245)
J Oral Maxillofac Surg. 1983 Jun;41(6):351-7. (PMID: 6574217)
Radiother Oncol. 2021 Apr;157:147-154. (PMID: 33545258)
Semin Oncol. 2019 Jun;46(3):210-218. (PMID: 31506196)
Radiother Oncol. 2012 Oct;105(1):101-6. (PMID: 22516776)
Radiother Oncol. 2016 Jul;120(1):21-7. (PMID: 27240717)
Med Phys. 2012 Mar;39(3):1386-409. (PMID: 22380372)
Int J Radiat Oncol Biol Phys. 2009 Nov 15;75(4):1084-91. (PMID: 19327914)
Radiother Oncol. 2023 Sep;186:109736. (PMID: 37315578)
Int J Radiat Oncol Biol Phys. 1989 Jun;16(6):1623-30. (PMID: 2722599)
Radiother Oncol. 2020 Jun;147:15-21. (PMID: 32224314)
معلومات مُعتمدة: T32 CA261856 United States CA NCI NIH HHS; P30 CA016672 United States CA NCI NIH HHS; R01 DE025248 United States DE NIDCR NIH HHS; R21 CA259839 United States CA NCI NIH HHS; R01 CA258827 United States CA NCI NIH HHS; R01 CA257814 United States CA NCI NIH HHS; R01 DE028290 United States DE NIDCR NIH HHS; TL1 TR003169 United States TR NCATS NIH HHS; U01 DE032168 United States DE NIDCR NIH HHS; R01 CA280980 United States CA NCI NIH HHS
تواريخ الأحداث: Date Created: 20240310 Date Completed: 20240722 Latest Revision: 20240802
رمز التحديث: 20240802
مُعرف محوري في PubMed: PMC11262961
DOI: 10.1016/j.ijrobp.2024.02.021
PMID: 38462018
قاعدة البيانات: MEDLINE
الوصف
تدمد:1879-355X
DOI:10.1016/j.ijrobp.2024.02.021