1
|
Kiafi P, Kouri MA, Patatoukas G, Kougioumtzopoulou A, Chalkia M, Nicolatou-Galitis O, Kouloulias V, Kyrodimos E, Platoni K. Unravelling Quality of Life for Head and Neck Cancer Patients after VMAT Radiation Therapy: Insights from Toxicity, Dosimetry and Symptoms Correlation. Clin Pract 2024; 14:1085-1099. [PMID: 38921264 PMCID: PMC11202948 DOI: 10.3390/clinpract14030086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Revised: 05/23/2024] [Accepted: 05/29/2024] [Indexed: 06/27/2024] Open
Abstract
(1) Background: Head and neck cancer treatment, including advanced techniques like Volumetric Modulated Arc Therapy (VMAT), presents challenges for maintaining patient quality of life (QoL). Thus, thoroughly investigating how radiation therapy (RT) affects patients has been proved essential. Derived by that, this study aims to understand the complex interactions between not only RT and QoL but also symptom severity, and treatment-related toxicities in three distinct time points of patient's treatment; (2) Methods: To achieve that, EORTC-QLQ-C30 and EORTC QLQ-H&N35 questionnaires were used in combination with EORTC_RTOG scoring criteria and Spearman's rho statistical analysis for 74 patients with cancer undergoing VMAT radiation therapy; (3) Results: The results revealed a significant improvement in the Overall Health Index post-treatment, indicating a temporary decline during therapy followed by subsequent recovery, often surpassing pre-treatment QoL levels. Concurrently a reduction in symptomatology was observed, notably in pain, swallowing difficulties, and dry mouth, aligning with prior research indicating decreased symptom burden post-treatment. However, Spearman's correlation coefficient analysis at two distinct time points during therapy uncovered varying degrees of correlation between dosimetric data at Organs at Risk (OARs) and reported symptoms, highlighting potential limitations in using QoL questionnaires as sole indicators of treatment efficacy. Our investigation into the correlation between dosimetric data, toxicity, and symptoms focused on the relationship between radiation doses and oral mucositis levels, a common toxicity in head and neck cancer patients. Significant associations were identified between toxicity levels and dosimetric parameters, particularly with OARs such as the parotid glands, oral cavity, and swallowing muscles, underlining the utility of the EORTC method as a reliable toxicity assessment tool; (4) Conclusions: To summarize, current research attempts to underscore the importance of refining QoL assessments for enhanced patient care. The integration of dosimetric data, symptom severity, and treatment-related toxicities in the QoL outcomes of head and neck cancer patients undergoing VMAT radiation therapy, can lead towards the optimization of treatment strategies and the improvement of patient outcomes in future patient-centered radiation therapy practices.
Collapse
Affiliation(s)
- Panagiota Kiafi
- 2nd Department of Radiology, Medical School, Attikon University Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece; (M.A.K.); (G.P.); (A.K.); (M.C.); (V.K.)
| | - Maria Anthi Kouri
- 2nd Department of Radiology, Medical School, Attikon University Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece; (M.A.K.); (G.P.); (A.K.); (M.C.); (V.K.)
| | - Georgios Patatoukas
- 2nd Department of Radiology, Medical School, Attikon University Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece; (M.A.K.); (G.P.); (A.K.); (M.C.); (V.K.)
| | - Andromachi Kougioumtzopoulou
- 2nd Department of Radiology, Medical School, Attikon University Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece; (M.A.K.); (G.P.); (A.K.); (M.C.); (V.K.)
| | - Marina Chalkia
- 2nd Department of Radiology, Medical School, Attikon University Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece; (M.A.K.); (G.P.); (A.K.); (M.C.); (V.K.)
| | - Ourania Nicolatou-Galitis
- Oral Oncology Unit, Clinic of Hospital Dentistry, Dental School, University of Athens, Bouboulinas 41, N. Psyhico, 15451 Athens, Greece;
| | - Vassilis Kouloulias
- 2nd Department of Radiology, Medical School, Attikon University Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece; (M.A.K.); (G.P.); (A.K.); (M.C.); (V.K.)
| | - Efthimios Kyrodimos
- 2nd Department of Otolaryngology-Head and Neck Surgery, Hippokration General Hospital, University of Athens, 15451 Athens, Greece;
| | - Kalliopi Platoni
- 2nd Department of Radiology, Medical School, Attikon University Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece; (M.A.K.); (G.P.); (A.K.); (M.C.); (V.K.)
| |
Collapse
|
2
|
Topkan E, Somay E, Selek U, Pehlivan B. Letter re: Reduced-dose radiotherapy for Epstein-Barr virus DNA selected staged III nasopharyngeal carcinoma: A single-arm, phase 2 trial. Eur J Cancer 2024; 200:113459. [PMID: 38057215 DOI: 10.1016/j.ejca.2023.113459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Accepted: 11/18/2023] [Indexed: 12/08/2023]
Affiliation(s)
- Erkan Topkan
- Department of Radiation Oncology, Faculty of Medicine, Baskent University, Adana, Turkey
| | - Efsun Somay
- Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, Baskent University, Ankara, Turkey; Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, University of Kyrenia, Girne, North Cyprus.
| | - Ugur Selek
- Department of Radiation Oncology, Faculty of Medicine, Koc University, Istanbul, Turkey
| | - Berrin Pehlivan
- Department of Radiation Oncology, Faculty of Medicine, Bahcesehir University, Istanbul, Turkey
| |
Collapse
|
3
|
Chen L, Platzer P, Reschl C, Schafasand M, Nachankar A, Lukas Hajdusich C, Kuess P, Stock M, Habraken S, Carlino A. Validation of a deep-learning segmentation model for adult and pediatric head and neck radiotherapy in different patient positions. Phys Imaging Radiat Oncol 2024; 29:100527. [PMID: 38222671 PMCID: PMC10787237 DOI: 10.1016/j.phro.2023.100527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 12/15/2023] [Accepted: 12/18/2023] [Indexed: 01/16/2024] Open
Abstract
Background and purpose Autocontouring for radiotherapy has the potential to significantly save time and reduce interobserver variability. We aimed to assess the performance of a commercial autocontouring model for head and neck (H&N) patients in eight orientations relevant to particle therapy with fixed beam lines, focusing on validation and implementation for routine clinical use. Materials and methods Autocontouring was performed on sixteen organs at risk (OARs) for 98 adult and pediatric patients with 137 H&N CT scans in eight orientations. A geometric comparison of the autocontours and manual segmentations was performed using the Hausdorff Distance 95th percentile, Dice Similarity Coefficient (DSC) and surface DSC and compared to interobserver variability where available. Additional qualitative scoring and dose-volume-histogram (DVH) parameters analyses were performed for twenty patients in two positions, consisting of scoring on a 0-3 scale based on clinical usability and comparing the mean (Dmean) and near-maximum (D2%) dose, respectively. Results For the geometric analysis, the model performance in head-first-supine straight and hyperextended orientations was in the same range as the interobserver variability. HD95, DSC and surface DSC was heterogeneous in other orientations. No significant geometric differences were found between pediatric and adult autocontours. The qualitative scoring yielded a median score of ≥ 2 for 13/16 OARs while 7/32 DVH parameters were significantly different. Conclusions For head-first-supine straight and hyperextended scans, we found that 13/16 OAR autocontours were suited for use in daily clinical practice and subsequently implemented. Further development is needed for other patient orientations before implementation.
Collapse
Affiliation(s)
- Linda Chen
- MedAustron Ion Therapy Center, Department of Medical Physics, Wiener Neustadt, Austria
- Erasmus MC Cancer Institute, University Medical Center, Department of Radiotherapy, Rotterdam, the Netherlands
- Delft University of Technology, Faculty of Mechanical, Maritime and Materials Engineering, Delft, the Netherlands
- Leiden University Medical Center, Faculty of Medicine, Leiden, the Netherlands
| | - Patricia Platzer
- MedAustron Ion Therapy Center, Department of Medical Physics, Wiener Neustadt, Austria
- Fachhochschule Wiener Neustadt, Department MedTech, Wiener Neustadt, Austria
| | - Christian Reschl
- MedAustron Ion Therapy Center, Department of Medical Physics, Wiener Neustadt, Austria
| | - Mansure Schafasand
- MedAustron Ion Therapy Center, Department of Medical Physics, Wiener Neustadt, Austria
- Medical University of Vienna, Department of Radiation Oncology, Vienna, Austria
- Karl Landsteiner University of Health Sciences, Department of Oncology, Krems an der Donau, Austria
| | - Ankita Nachankar
- MedAustron Ion Therapy Center, Department of Medical Physics, Wiener Neustadt, Austria
- ACMIT Gmbh, Department of Medicine, Wiener Neustadt, Austria
| | | | - Peter Kuess
- Medical University of Vienna, Department of Radiation Oncology, Vienna, Austria
| | - Markus Stock
- MedAustron Ion Therapy Center, Department of Medical Physics, Wiener Neustadt, Austria
- Karl Landsteiner University of Health Sciences, Department of Oncology, Krems an der Donau, Austria
| | - Steven Habraken
- Erasmus MC Cancer Institute, University Medical Center, Department of Radiotherapy, Rotterdam, the Netherlands
- Holland Proton Therapy Center, Department of Medical Physics & Informatics, Delft, the Netherlands
| | - Antonio Carlino
- MedAustron Ion Therapy Center, Department of Medical Physics, Wiener Neustadt, Austria
| |
Collapse
|
4
|
Salans M, Karunamuni R, Unnikrishnan S, Qian A, Connor M, Gudipati S, Yip A, Huynh-Le MP, Tibbs M, Reyes A, Stasenko A, Schadler A, McDonald C, Hattangadi-Gluth JA. Microstructural Cerebellar Injury Independently Associated With Processing Speed in Adult Patients With Primary Brain Tumors: Implications for Cognitive Preservation. Int J Radiat Oncol Biol Phys 2023; 117:1107-1117. [PMID: 37414262 DOI: 10.1016/j.ijrobp.2023.06.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 05/08/2023] [Accepted: 06/13/2023] [Indexed: 07/08/2023]
Abstract
PURPOSE The cerebellum's role in posttreatment neurocognitive decline is unexplored. This study investigated associations between cerebellar microstructural integrity using quantitative neuroimaging biomarkers and neurocognition among patients with primary brain tumors receiving partial-brain radiation therapy (RT). METHODS AND MATERIALS In a prospective trial, 65 patients underwent volumetric brain magnetic resonance imaging, diffusion tensor imaging, and memory, executive function, language, attention, and processing speed (PS) assessment before RT and at 3, 6, and 12 months after RT. Delis-Kaplan Executive Function System-Trail Making (D-KEFS-TM) visual scanning and number and letter sequencing and Wechsler Adult Intelligence Scale, Fourth Edition, coding were used to evaluate PS. The cerebellar cortex and white matter (WM) and supratentorial structures subserving the previously mentioned cognitive domains were autosegmented. Volume was measured within each structure at each time point along with diffusion biomarkers (fractional anisotropy and mean diffusivity) in WM structures. Linear mixed-effects models assessed cerebellar biomarkers as predictors of neurocognitive scores. If associated, cerebellar biomarkers were evaluated as independent predictors of cognitive scores controlling for domain-specific supratentorial biomarkers. RESULTS Left (P = .04) and right (P < .001) cerebellar WM volume declined significantly over time. Cerebellar biomarkers were not associated with memory, executive function, or language. Smaller left cerebellar cortex volume was associated with worse D-KEFS-TM number (P = .01) and letter (P = .01) sequencing scores. A smaller right cerebellar cortex volume correlated with worse D-KEFS-TM visual scanning (P = .02) and number (P = .03) and letter (P = .02) sequencing scores. Greater right cerebellar WM mean diffusivity, indicating WM injury, was associated with worse D-KEFS-TM visual scanning performance (P = .03). Associations remained significant after controlling for corpus callosum and intrahemispheric WM injury biomarkers. CONCLUSIONS Injury to the cerebellum as measured with quantitative biomarkers correlates with worse post-RT PS, independent of corpus callosum and intrahemispheric WM damage. Efforts to preserve cerebellar integrity may preserve PS.
Collapse
Affiliation(s)
- Mia Salans
- Department of Radiation Oncology, University of California, San Francisco, California; Department of Radiation Medicine and Applied Sciences, University of California, San Diego, California
| | - Roshan Karunamuni
- Department of Radiation Medicine and Applied Sciences, University of California, San Diego, California
| | - Soumya Unnikrishnan
- Department of Radiation Medicine and Applied Sciences, University of California, San Diego, California
| | - Alexander Qian
- Department of Radiation Oncology, University of California, San Francisco, California; Department of Radiation Medicine and Applied Sciences, University of California, San Diego, California
| | - Michael Connor
- Department of Radiation Medicine and Applied Sciences, University of California, San Diego, California
| | - Suma Gudipati
- Department of Radiation Medicine and Applied Sciences, University of California, San Diego, California
| | - Anthony Yip
- Department of Radiation Medicine and Applied Sciences, University of California, San Diego, California
| | | | - Michelle Tibbs
- Department of Radiation Medicine and Applied Sciences, University of California, San Diego, California
| | - Anny Reyes
- Department of Psychiatry, University of California, San Diego, California
| | - Alena Stasenko
- Department of Psychiatry, University of California, San Diego, California
| | - Adam Schadler
- Department of Psychiatry, University of California, San Diego, California
| | - Carrie McDonald
- Department of Psychiatry, University of California, San Diego, California
| | - Jona A Hattangadi-Gluth
- Department of Radiation Medicine and Applied Sciences, University of California, San Diego, California.
| |
Collapse
|
5
|
Thaduri A, Ahuja R, Kaul P, Malhotra M, Garg PK. Exploring the landscape of oral cancer care: real-world scenario. Eur Arch Otorhinolaryngol 2023; 280:5151-5152. [PMID: 37658877 DOI: 10.1007/s00405-023-08215-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 08/25/2023] [Indexed: 09/05/2023]
Affiliation(s)
- Abhinav Thaduri
- Department of ENT, Prathima Relief Medical College, Warangal, India
| | - Rachit Ahuja
- Department of Radiation Oncology, Shri Guru Ram Rai Institute of Medical and Health Sciences, Dehradun, India
| | - Pallvi Kaul
- Department of Otorhinolaryngology and Head Neck Surgery, All India Institute of Medical Sciences, Rishikesh, India
| | - Manu Malhotra
- Department of Surgical Oncology, Shri Guru Ram Rai Institute of Medical and Health Sciences, Patel Nagar, Dehradun, Uttarakhand, 248001, India
| | - Pankaj Kumar Garg
- Department of Surgical Oncology, Shri Guru Ram Rai Institute of Medical and Health Sciences, Patel Nagar, Dehradun, Uttarakhand, 248001, India.
| |
Collapse
|
6
|
Topkan E, Somay E, Selek U. Letter to the Editor regarding "Long‑term swallow outcomes and factors affecting swallowing dysfunction and quality of life among oral cancer patients: a prospective observational study" by Thaduri et al. Eur Arch Otorhinolaryngol. 2023 Aug 7. doi: 10.1007/s00405-023-08155-x. Eur Arch Otorhinolaryngol 2023; 280:5149-5150. [PMID: 37594546 DOI: 10.1007/s00405-023-08189-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 08/11/2023] [Indexed: 08/19/2023]
Affiliation(s)
- Erkan Topkan
- Department of Radiation Oncology, Faculty of Medicine, Baskent University, Adana, Turkey
| | - Efsun Somay
- Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, Baskent University, 82, Street No. 26 Bahcelievler, Ankara, Turkey.
| | - Uğur Selek
- Department of Radiation Oncology, Faculty of Medicine, Koc University, Istanbul, Turkey
| |
Collapse
|
7
|
Topkan E, Somay E, Selek U. Letter to the Editor: Serial Changes in Parotid Gland Volume and Symptoms After Radiation Therapy in Oropharyngeal Cancer. EAR, NOSE & THROAT JOURNAL 2023:1455613231197284. [PMID: 37688437 DOI: 10.1177/01455613231197284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/10/2023] Open
Affiliation(s)
- Erkan Topkan
- Faculty of Medicine, Department of Radiation Oncology, Baskent University, Adana, Turkey
| | - Efsun Somay
- Faculty of Dentistry, Department of Oral and Maxillofacial Surgery, Baskent University, Ankara, Turkey
| | - Uğur Selek
- Faculty of Medicine, Department of Radiation Oncology, Koc University, Istanbul, Turkey
| |
Collapse
|
8
|
Liu Q, Lun L, Sun M, Wang Z, Qu Y, Huang X, Chen X, Wang J, Zhang J, Wang K, Wu R, Zhang Y, Yi J, Luo J. Feasibility of omitting contralateral neck irradiation in patients with node-negative sinonasal squamous cell carcinoma crossing the midline. Head Neck 2023; 45:2237-2245. [PMID: 37448305 DOI: 10.1002/hed.27462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Revised: 07/01/2023] [Accepted: 07/05/2023] [Indexed: 07/15/2023] Open
Abstract
BACKGROUND Identifying the lymph node target volume in patients with node-negative sinonasal squamous cell carcinoma (SNSCC) crossing the midline poses a challenge. This study aims to address this. METHODS We retrospectively reviewed clinically N0 patients with tumors crossing the midline who received elective neck irradiation (ENI) from two centers between 1999 and 2019. The main endpoint was regional relapse-free survival (RRFS). RESULTS We included 104 patients: 64 received bilateral ENI, and 40 received ipsilateral-only ENI (median follow-up time was 89.99 and 95.01 months, respectively). At 5 years, the RRFS rates were comparable (57.68% vs. 55.83%, p = 0.372), as were the contralateral RRFS (57.68% vs. 61.62%, p = 0.541). Five-year OS, LRFS, and DMFS showed no significant difference between two groups. CONCLUSIONS Our findings provide preliminary evidence suggesting the potential for avoiding contralateral ENI in SNSCC patients with midline crossing tumors who undergo ipsilateral ENI, covering at least level II. Validation through future prospective studies is necessary.
Collapse
Affiliation(s)
- Qian Liu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lixin Lun
- Department of Head and Neck Radiotherapy, Harbin Medical University Cancer Hospital, Harbin, China
| | - Meng Sun
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zekun Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuan Qu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaodong Huang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xuesong Chen
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jingbo Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jianghu Zhang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Kai Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Runye Wu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ye Zhang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Junlin Yi
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jingwei Luo
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| |
Collapse
|
9
|
Liu Q, Lun L, Sun M, Wang Z, Huang X, Chen X, Wang J, Zhang J, Qu Y, Wang K, Wu R, Zhang Y, Xiao J, Yi J, Luo J. Feasibility of ipsilateral elective neck irradiation of levels Ib and II without level III in patients with node-negative sinonasal squamous cell carcinoma. Head Neck 2023; 45:775-782. [PMID: 36533694 DOI: 10.1002/hed.27278] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Revised: 11/21/2022] [Accepted: 11/30/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND The necessity of level III irradiation in patients with node-negative advanced sinonasal squamous cell carcinoma (SNSCC) is unclear. METHODS Seventy-eight patients with advanced SNSCC were included. Survival rates were estimated and compared between treatment groups. RESULTS Twenty-five patients received ipsilateral levels Ib and II irradiation (group 1) and 53 patients received ipsilateral levels Ib and II plus level III irradiation (group 2). The median follow-up time was 75.56 months. Five-year survival rates (regional relapse-free survival, overall survival, local relapse-free survival, and distant metastasis-free survival) were similar between groups 1 and 2 (all p > 0.05). Irradiation doses to the thyroid and larynx were significantly lower in group 1 than in group 2. CONCLUSIONS Ipsilateral irradiation of levels Ib and II neck provides similar regional control and results as irradiation of these levels plus level III, with lower irradiation doses to normal neck tissue, in patients with node-negative advanced SNSCC.
Collapse
Affiliation(s)
- Qian Liu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lixin Lun
- Department of Head and Neck Radiotherapy, Harbin Medical University Cancer Hospital, Harbin, China
| | - Meng Sun
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zekun Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaodong Huang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xuesong Chen
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jingbo Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jianghu Zhang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuan Qu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Kai Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Runye Wu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ye Zhang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jianping Xiao
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Junlin Yi
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jingwei Luo
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| |
Collapse
|
10
|
Dong Y, Zhang J, Lam S, Zhang X, Liu A, Teng X, Han X, Cao J, Li H, Lee FK, Yip CW, Au K, Zhang Y, Cai J. Multimodal Data Integration to Predict Severe Acute Oral Mucositis of Nasopharyngeal Carcinoma Patients Following Radiation Therapy. Cancers (Basel) 2023; 15:cancers15072032. [PMID: 37046693 PMCID: PMC10093711 DOI: 10.3390/cancers15072032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 03/21/2023] [Accepted: 03/26/2023] [Indexed: 04/14/2023] Open
Abstract
(1) Background: Acute oral mucositis is the most common side effect for nasopharyngeal carcinoma patients receiving radiotherapy. Improper or delayed intervention to severe AOM could degrade the quality of life or survival for NPC patients. An effective prediction method for severe AOM is needed for the individualized management of NPC patients in the era of personalized medicine. (2) Methods: A total of 242 biopsy-proven NPC patients were retrospectively recruited in this study. Radiomics features were extracted from contrast-enhanced CT (CECT), contrast-enhanced T1-weighted (cT1WI), and T2-weighted (T2WI) images in the primary tumor and tumor-related area. Dosiomics features were extracted from 2D or 3D dose-volume histograms (DVH). Multiple models were established with single and integrated data. The dataset was randomized into training and test sets at a ratio of 7:3 with 10-fold cross-validation. (3) Results: The best-performing model using Gaussian Naive Bayes (GNB) (mean validation AUC = 0.81 ± 0.10) was established with integrated radiomics and dosiomics data. The GNB radiomics and dosiomics models yielded mean validation AUC of 0.6 ± 0.20 and 0.69 ± 0.14, respectively. (4) Conclusions: Integrating radiomics and dosiomics data from the primary tumor area could generate the best-performing model for severe AOM prediction.
Collapse
Affiliation(s)
- Yanjing Dong
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Jiang Zhang
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Saikt Lam
- Research Institute for Smart Ageing, The Hong Kong Polytechnic University, Hong Kong SAR, China
- Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Xinyu Zhang
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Anran Liu
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Xinzhi Teng
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Xinyang Han
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Jin Cao
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Hongxiang Li
- Department of Radiology, Fujian Medical University Union Hospital, Fujian Medical University, Fuzhou 350000, China
| | - Francis Karho Lee
- Department of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong SAR, China
| | - Celia Waiyi Yip
- Department of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong SAR, China
| | - Kwokhung Au
- Department of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong SAR, China
| | - Yuanpeng Zhang
- Department of Medical Informatics, Nantong University, Nantong 226000, China
| | - Jing Cai
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China
- Research Institute for Smart Ageing, The Hong Kong Polytechnic University, Hong Kong SAR, China
- The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen 518000, China
| |
Collapse
|