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Floricel C, Wentzel A, Mohamed A, Fuller CD, Canahuate G, Marai GE. Roses Have Thorns: Understanding the Downside of Oncological Care Delivery Through Visual Analytics and Sequential Rule Mining. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 2024; 30:1227-1237. [PMID: 38015695 PMCID: PMC10842255 DOI: 10.1109/tvcg.2023.3326939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2023]
Abstract
Personalized head and neck cancer therapeutics have greatly improved survival rates for patients, but are often leading to understudied long-lasting symptoms which affect quality of life. Sequential rule mining (SRM) is a promising unsupervised machine learning method for predicting longitudinal patterns in temporal data which, however, can output many repetitive patterns that are difficult to interpret without the assistance of visual analytics. We present a data-driven, human-machine analysis visual system developed in collaboration with SRM model builders in cancer symptom research, which facilitates mechanistic knowledge discovery in large scale, multivariate cohort symptom data. Our system supports multivariate predictive modeling of post-treatment symptoms based on during-treatment symptoms. It supports this goal through an SRM, clustering, and aggregation back end, and a custom front end to help develop and tune the predictive models. The system also explains the resulting predictions in the context of therapeutic decisions typical in personalized care delivery. We evaluate the resulting models and system with an interdisciplinary group of modelers and head and neck oncology researchers. The results demonstrate that our system effectively supports clinical and symptom research.
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Salama V, Youssef S, Xu T, Wahid KA, Chen J, Rigert J, Lee A, Hutcheson KA, Gunn B, Phan J, Garden AS, Frank SJ, Morrison W, Reddy JP, Spiotto MT, Naser MA, Dede C, He R, Mohamed AS, van Dijk LV, Lin R, Roldan CJ, Rosenthal DI, Fuller CD, Moreno AC. Temporal characterization of acute pain and toxicity kinetics during radiation therapy for head and neck cancer. A retrospective study. ORAL ONCOLOGY REPORTS 2023; 7:100092. [PMID: 38638130 PMCID: PMC11025722 DOI: 10.1016/j.oor.2023.100092] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/20/2024]
Abstract
Objectives Pain during Radiation Therapy (RT) for oral cavity/oropharyngeal cancer (OC/OPC) is a clinical challenge due to its multifactorial etiology and variable management. The objective of this study was to define complex pain profiles through temporal characterization of pain descriptors, physiologic state, and RT-induced toxicities for pain trajectories understanding. Materials and methods Using an electronic health record registry, 351 OC/OPC patients treated with RT from 2013 to 2021 were included. Weekly numeric scale pain scores, pain descriptors, vital signs, physician-reported toxicities, and analgesics were analyzed using linear mixed effect models and Spearman's correlation. Area under the pain curve (AUCpain) was calculated to measure pain burden over time. Results Median pain scores increased from 0 during the weekly visit (WSV)-1 to 5 during WSV-7. By WSV-7, 60% and 74% of patients reported mouth and throat pain, respectively, with a median pain score of 5. Soreness and burning pain peaked during WSV-6/7 (51%). Median AUCpain was 16% (IQR (9.3-23)), and AUCpain significantly varied based on gender, tumor site, surgery, drug use history, and pre-RT pain. A temporal increase in mucositis and dermatitis, declining mean bodyweight (-7.1%; P < 0.001) and mean arterial pressure (MAP) 6.8 mmHg; P < 0.001 were detected. Pulse rate was positively associated while weight and MAP were negatively associated with pain over time (P < 0.001). Conclusion This study provides insight on in-depth characterization and associations between dynamic pain, physiologic, and toxicity kinetics. Our findings support further needs of optimized pain control through temporal data-driven clinical decision support systems for acute pain management.
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Affiliation(s)
- Vivian Salama
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Sara Youssef
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Tianlin Xu
- Department of Biostatistics, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Kareem A. Wahid
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Jaime Chen
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Jillian Rigert
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Anna Lee
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Katherine A. Hutcheson
- Department of Head and Neck Surgery, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Brandon Gunn
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Jack Phan
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Adam S. Garden
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Steven J. Frank
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - William Morrison
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Jay P. Reddy
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Michael T. Spiotto
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Mohamed A. Naser
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Cem Dede
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Renjie He
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Abdallah S.R. Mohamed
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Lisanne V. van Dijk
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
- Department of Radiation Oncology, Medical Center Groningen, University of Groningen, Groningen, NL, USA
| | - Ruitao Lin
- Department of Biostatistics, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Carlos J. Roldan
- Department of Pain Medicine, Division of Anesthesiology, Critical Care Medicine, and Pain Medicine, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - David I. Rosenthal
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Clifton D. Fuller
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Amy C. Moreno
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
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Viganò A, De Felice F, Iacovelli NA, Alterio D, Ingargiola R, Casbarra A, Facchinetti N, Oneta O, Bacigalupo A, Tornari E, Ursino S, Paiar F, Caspiani O, Di Rito A, Musio D, Bossi P, Steca P, Jereczek-Fossa BA, Caso L, Palena N, Greco A, Orlandi E. Quality of life changes over time and predictors in a large head and neck patients' cohort: secondary analysis from an Italian multi-center longitudinal, prospective, observational study-a study of the Italian Association of Radiotherapy and Clinical Oncology (AIRO) head and neck working group. Support Care Cancer 2023; 31:220. [PMID: 36930353 PMCID: PMC10023607 DOI: 10.1007/s00520-023-07661-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 02/24/2023] [Indexed: 03/18/2023]
Abstract
PURPOSE The present study examined the longitudinal trajectories, through hierarchical modeling, of quality of life among patients with head and neck cancer, specifically symptoms burden, during radiotherapy, and in the follow-up period (1, 3, 6, and 12 months after completion of radiotherapy), through the M.D. Anderson Symptom Inventory Head and Neck questionnaire, formed by three factors. Furthermore, analyses were conducted controlling for socio-demographic as well as clinical characteristics. METHODS Multi-level mixed-effects linear regression was used to estimate the association between quality of life and time, age, gender, household, educational level, employment status, ECOG performance status, human papilloma virus (HPV) status, surgery, chemotherapy, alcohol intake, and smoking. RESULTS Among the 166 participants, time resulted to be a predictor of all the three questionnaire factors, namely, general and specific related symptoms and interference with daily life. Moreover, regarding symptom interference with daily activities factor, HPV-positive status played a significant role. Considering only HPV-negative patients, only time predicted patients' quality of life. Differently, among HPV-positive patients, other variables, such as gender, educational level, alcohol use, surgery, age at diagnosis, employment status, and ECOG status, resulted significant. CONCLUSION It was evident that quality of life of patients with head and neck cancer declined during RT, whereas it slowly improved after ending treatment. Our results clarified the role of some socio-demographic and clinical variables, for instance, HPV, which would allow to develop treatments tailored to each patient.
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Affiliation(s)
- Anna Viganò
- Department of Human and Social Sciences, University of Bergamo, Bergamo, Italy
| | - Francesca De Felice
- Department of Radiotherapy, Policlinico Umberto I "Sapienza" University of Rome, Rome, Italy.
| | | | - Daniela Alterio
- Division of Radiation Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Rossana Ingargiola
- Radiotherapy 2 Unit, Fondazione IRCCS Istituto Nazionale Dei Tumori Di Milano, Milan, Italy
| | - Alessia Casbarra
- Division of Radiation Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Nadia Facchinetti
- Radiotherapy 2 Unit, Fondazione IRCCS Istituto Nazionale Dei Tumori Di Milano, Milan, Italy
| | - Olga Oneta
- Division of Radiation Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | | | - Elena Tornari
- Radiation Oncology Policlinico San Martino IRCCS, Genoa, Italy
| | - Stefano Ursino
- Department of Radiation Oncology, S. Chiara University Hospital, Pisa, Italy
| | - Fabiola Paiar
- Department of Radiation Oncology, S. Chiara University Hospital, Pisa, Italy
| | - Orietta Caspiani
- Radiation Oncology Department, Ospedale "S. Giovanni Calibita" Fatebenefratelli, Rome, Italy
| | | | - Daniela Musio
- Department of Radiotherapy, Policlinico Umberto I "Sapienza" University of Rome, Rome, Italy
| | - Paolo Bossi
- Medical Oncology, Department of Medical and Surgical Specialties, Radiological Sciences and Public Health University of Brescia, ASST-Spedali Civili, Brescia, Italy
| | - Patrizia Steca
- Department of Psychology, University of Milan "Bicocca", Milan, Italy
| | - Barbara Alicja Jereczek-Fossa
- Division of Radiation Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Letizia Caso
- Department of Human Sciences, Libera Università Maria SS. Assunta University, Rome, Italy
| | - Nicola Palena
- Department of Human and Social Sciences, University of Bergamo, Bergamo, Italy
| | - Andrea Greco
- Department of Human and Social Sciences, University of Bergamo, Bergamo, Italy
| | - Ester Orlandi
- Radiotherapy 2 Unit, Fondazione IRCCS Istituto Nazionale Dei Tumori Di Milano, Milan, Italy
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van Dijk LV, Mohamed ASR, Ferrarotto R, McCoy LA, Sharafi CS, Jones E, Steele K, Moreno AC, Lai SY, Garden AS, Myers JN, Rosenthal DI, Fuller CD, Hutcheson KA. The impact of induction and/or concurrent chemoradiotherapy on acute and late patient-reported symptoms in oropharyngeal cancer: Application of a mixed-model analysis of a prospective observational cohort registry. Cancer 2021; 127:2453-2464. [PMID: 33788956 PMCID: PMC8359995 DOI: 10.1002/cncr.33501] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 01/15/2021] [Accepted: 01/23/2021] [Indexed: 12/11/2022]
Abstract
BACKGROUND The goal of this study was to comprehensively investigate the association of chemotherapy with trajectories of acute symptom development and late symptom recovery in patients with oropharyngeal cancer (OPC) by comparing symptom burden between induction chemotherapy followed by concurrent chemoradiotherapy (ICRT), concurrent chemo‐radiotherapy (CRT), or radiotherapy (RT) alone. METHODS Among a registry of 717 patients with OPC, the 28‐item patient‐reported MD Anderson Symptom Inventory–Head and Neck Module (MDASI‐HN) symptoms were collected prospectively at baseline, weekly during RT, and 1.5, 3 to 6, 12, and 18 to 24 months after RT. The effect of the treatment regimen (ICRT, CRT, and RT alone) was examined with mixed‐model analyses for the acute and late period. In the CRT cohort, the chemotherapy agent relationship with symptoms was investigated. RESULTS Chemoradiation (ICRT/CRT) compared with RT alone resulted in significantly higher acute symptom scores in the majority of MDASI‐HN symptoms (ie, 21 out of 28). No late symptom differences between treatment with or without chemotherapy were observed that were not attributable to ICRT. Nausea was lower for CRT with carboplatin than for CRT with cisplatin; cetuximab was associated with particularly higher scores for acute and late skin, mucositis, and 6 other symptoms. The addition of ICRT compared with CRT or RT alone was associated with a significant increase in numbness and shortness of breath. CONCLUSION The addition of chemotherapy to definitive RT for OPC patients was associated with significantly worse acute symptom outcomes compared with RT alone, which seems to attenuate in the late posttreatment period. Moreover, induction chemotherapy was specifically associated with worse numbness and shortness of breath during and after treatment. LAY SUMMARY Chemotherapy is frequently used in addition to radiotherapy cancer treatment, yet the (added) effect on treatment‐induced over time is not comprehensively investigated This study shows that chemotherapy adds to the symptom severity reported by patients, especially during treatment
Induction/concurrent chemotherapy significantly augments patient‐reported symptom burden of radiotherapy among patients with oropharyngeal cancer, as worse acute symptom outcomes are observed compared with radiotherapy alone. Induction chemotherapy is associated with greater numbness and shortness of breath during and after treatment.
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Affiliation(s)
- Lisanne V van Dijk
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.,Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Abdallah S R Mohamed
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.,Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Renata Ferrarotto
- Division of Cancer Medicine, Department of Thoracic Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Lance A McCoy
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.,College of Medicine, University of Houston, Houston, Texas
| | - Christina S Sharafi
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Eva Jones
- Texas Undergraduate Medical Academy, Prairie View A&M University, Prairie View, Texas
| | - Kennedy Steele
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.,Texas Undergraduate Medical Academy, Prairie View A&M University, Prairie View, Texas
| | - Amy C Moreno
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Stephen Y Lai
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.,Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.,Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Adam S Garden
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jeffrey N Myers
- Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - David I Rosenthal
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Clifton D Fuller
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Katherine A Hutcheson
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.,Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
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