Cargando…

A Multi-Center Study of CT-Based Neck Nodal Radiomics for Predicting an Adaptive Radiotherapy Trigger of Ill-Fitted Thermoplastic Masks in Patients with Nasopharyngeal Carcinoma

Significant lymph node shrinkage is common in patients with nasopharyngeal carcinoma (NPC) throughout radiotherapy (RT) treatment, causing ill-fitted thermoplastic masks (IfTMs). To deal with this, an ad hoc adaptive radiotherapy (ART) may be required to ensure accurate and safe radiation delivery a...

Descripción completa

Detalles Bibliográficos
Autores principales: Lam, Sai-Kit, Zhang, Jiang, Zhang, Yuan-Peng, Li, Bing, Ni, Rui-Yan, Zhou, Ta, Peng, Tao, Cheung, Andy Lai-Yin, Chau, Tin-Ching, Lee, Francis Kar-Ho, Yip, Celia Wai-Yi, Au, Kwok-Hung, Lee, Victor Ho-Fun, Chang, Amy Tien-Yee, Chan, Lawrence Wing-Chi, Cai, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8876942/
https://www.ncbi.nlm.nih.gov/pubmed/35207528
http://dx.doi.org/10.3390/life12020241
_version_ 1784658289703780352
author Lam, Sai-Kit
Zhang, Jiang
Zhang, Yuan-Peng
Li, Bing
Ni, Rui-Yan
Zhou, Ta
Peng, Tao
Cheung, Andy Lai-Yin
Chau, Tin-Ching
Lee, Francis Kar-Ho
Yip, Celia Wai-Yi
Au, Kwok-Hung
Lee, Victor Ho-Fun
Chang, Amy Tien-Yee
Chan, Lawrence Wing-Chi
Cai, Jing
author_facet Lam, Sai-Kit
Zhang, Jiang
Zhang, Yuan-Peng
Li, Bing
Ni, Rui-Yan
Zhou, Ta
Peng, Tao
Cheung, Andy Lai-Yin
Chau, Tin-Ching
Lee, Francis Kar-Ho
Yip, Celia Wai-Yi
Au, Kwok-Hung
Lee, Victor Ho-Fun
Chang, Amy Tien-Yee
Chan, Lawrence Wing-Chi
Cai, Jing
author_sort Lam, Sai-Kit
collection PubMed
description Significant lymph node shrinkage is common in patients with nasopharyngeal carcinoma (NPC) throughout radiotherapy (RT) treatment, causing ill-fitted thermoplastic masks (IfTMs). To deal with this, an ad hoc adaptive radiotherapy (ART) may be required to ensure accurate and safe radiation delivery and to maintain treatment efficacy. Presently, the entire procedure for evaluating an eligible ART candidate is time-consuming, resource-demanding, and highly inefficient. In the artificial intelligence paradigm, the pre-treatment identification of NPC patients at risk for IfTMs has become greatly demanding for achieving efficient ART eligibility screening, while no relevant studies have been reported. Hence, we aimed to investigate the capability of computed tomography (CT)-based neck nodal radiomics for predicting IfTM-triggered ART events in NPC patients via a multi-center setting. Contrast-enhanced CT and the clinical data of 124 and 58 NPC patients from Queen Elizabeth Hospital (QEH) and Queen Mary Hospital (QMH), respectively, were retrospectively analyzed. Radiomic (R), clinical (C), and combined (RC) models were developed using the ridge algorithm in the QEH cohort and evaluated in the QMH cohort using the median area under the receiver operating characteristics curve (AUC). Delong’s test was employed for model comparison. Model performance was further assessed on 1000 replicates in both cohorts separately via bootstrapping. The R model yielded the highest “corrected” AUC of 0.784 (BCa 95%CI: 0.673–0.859) and 0.723 (BCa 95%CI: 0.534–0.859) in the QEH and QMH cohort following bootstrapping, respectively. Delong’s test indicated that the R model performed significantly better than the C model in the QMH cohort (p < 0.0001), while demonstrating no significant difference compared to the RC model (p = 0.5773). To conclude, CT-based neck nodal radiomics was capable of predicting IfTM-triggered ART events in NPC patients in this multi-center study, outperforming the traditional clinical model. The findings of this study provide valuable insights for future study into developing an effective screening strategy for ART eligibility in NPC patients in the long run, ultimately alleviating the workload of clinical practitioners, streamlining ART procedural efficiency in clinics, and achieving personalized RT for NPC patients in the future.
format Online
Article
Text
id pubmed-8876942
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-88769422022-02-26 A Multi-Center Study of CT-Based Neck Nodal Radiomics for Predicting an Adaptive Radiotherapy Trigger of Ill-Fitted Thermoplastic Masks in Patients with Nasopharyngeal Carcinoma Lam, Sai-Kit Zhang, Jiang Zhang, Yuan-Peng Li, Bing Ni, Rui-Yan Zhou, Ta Peng, Tao Cheung, Andy Lai-Yin Chau, Tin-Ching Lee, Francis Kar-Ho Yip, Celia Wai-Yi Au, Kwok-Hung Lee, Victor Ho-Fun Chang, Amy Tien-Yee Chan, Lawrence Wing-Chi Cai, Jing Life (Basel) Article Significant lymph node shrinkage is common in patients with nasopharyngeal carcinoma (NPC) throughout radiotherapy (RT) treatment, causing ill-fitted thermoplastic masks (IfTMs). To deal with this, an ad hoc adaptive radiotherapy (ART) may be required to ensure accurate and safe radiation delivery and to maintain treatment efficacy. Presently, the entire procedure for evaluating an eligible ART candidate is time-consuming, resource-demanding, and highly inefficient. In the artificial intelligence paradigm, the pre-treatment identification of NPC patients at risk for IfTMs has become greatly demanding for achieving efficient ART eligibility screening, while no relevant studies have been reported. Hence, we aimed to investigate the capability of computed tomography (CT)-based neck nodal radiomics for predicting IfTM-triggered ART events in NPC patients via a multi-center setting. Contrast-enhanced CT and the clinical data of 124 and 58 NPC patients from Queen Elizabeth Hospital (QEH) and Queen Mary Hospital (QMH), respectively, were retrospectively analyzed. Radiomic (R), clinical (C), and combined (RC) models were developed using the ridge algorithm in the QEH cohort and evaluated in the QMH cohort using the median area under the receiver operating characteristics curve (AUC). Delong’s test was employed for model comparison. Model performance was further assessed on 1000 replicates in both cohorts separately via bootstrapping. The R model yielded the highest “corrected” AUC of 0.784 (BCa 95%CI: 0.673–0.859) and 0.723 (BCa 95%CI: 0.534–0.859) in the QEH and QMH cohort following bootstrapping, respectively. Delong’s test indicated that the R model performed significantly better than the C model in the QMH cohort (p < 0.0001), while demonstrating no significant difference compared to the RC model (p = 0.5773). To conclude, CT-based neck nodal radiomics was capable of predicting IfTM-triggered ART events in NPC patients in this multi-center study, outperforming the traditional clinical model. The findings of this study provide valuable insights for future study into developing an effective screening strategy for ART eligibility in NPC patients in the long run, ultimately alleviating the workload of clinical practitioners, streamlining ART procedural efficiency in clinics, and achieving personalized RT for NPC patients in the future. MDPI 2022-02-06 /pmc/articles/PMC8876942/ /pubmed/35207528 http://dx.doi.org/10.3390/life12020241 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lam, Sai-Kit
Zhang, Jiang
Zhang, Yuan-Peng
Li, Bing
Ni, Rui-Yan
Zhou, Ta
Peng, Tao
Cheung, Andy Lai-Yin
Chau, Tin-Ching
Lee, Francis Kar-Ho
Yip, Celia Wai-Yi
Au, Kwok-Hung
Lee, Victor Ho-Fun
Chang, Amy Tien-Yee
Chan, Lawrence Wing-Chi
Cai, Jing
A Multi-Center Study of CT-Based Neck Nodal Radiomics for Predicting an Adaptive Radiotherapy Trigger of Ill-Fitted Thermoplastic Masks in Patients with Nasopharyngeal Carcinoma
title A Multi-Center Study of CT-Based Neck Nodal Radiomics for Predicting an Adaptive Radiotherapy Trigger of Ill-Fitted Thermoplastic Masks in Patients with Nasopharyngeal Carcinoma
title_full A Multi-Center Study of CT-Based Neck Nodal Radiomics for Predicting an Adaptive Radiotherapy Trigger of Ill-Fitted Thermoplastic Masks in Patients with Nasopharyngeal Carcinoma
title_fullStr A Multi-Center Study of CT-Based Neck Nodal Radiomics for Predicting an Adaptive Radiotherapy Trigger of Ill-Fitted Thermoplastic Masks in Patients with Nasopharyngeal Carcinoma
title_full_unstemmed A Multi-Center Study of CT-Based Neck Nodal Radiomics for Predicting an Adaptive Radiotherapy Trigger of Ill-Fitted Thermoplastic Masks in Patients with Nasopharyngeal Carcinoma
title_short A Multi-Center Study of CT-Based Neck Nodal Radiomics for Predicting an Adaptive Radiotherapy Trigger of Ill-Fitted Thermoplastic Masks in Patients with Nasopharyngeal Carcinoma
title_sort multi-center study of ct-based neck nodal radiomics for predicting an adaptive radiotherapy trigger of ill-fitted thermoplastic masks in patients with nasopharyngeal carcinoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8876942/
https://www.ncbi.nlm.nih.gov/pubmed/35207528
http://dx.doi.org/10.3390/life12020241
work_keys_str_mv AT lamsaikit amulticenterstudyofctbasednecknodalradiomicsforpredictinganadaptiveradiotherapytriggerofillfittedthermoplasticmasksinpatientswithnasopharyngealcarcinoma
AT zhangjiang amulticenterstudyofctbasednecknodalradiomicsforpredictinganadaptiveradiotherapytriggerofillfittedthermoplasticmasksinpatientswithnasopharyngealcarcinoma
AT zhangyuanpeng amulticenterstudyofctbasednecknodalradiomicsforpredictinganadaptiveradiotherapytriggerofillfittedthermoplasticmasksinpatientswithnasopharyngealcarcinoma
AT libing amulticenterstudyofctbasednecknodalradiomicsforpredictinganadaptiveradiotherapytriggerofillfittedthermoplasticmasksinpatientswithnasopharyngealcarcinoma
AT niruiyan amulticenterstudyofctbasednecknodalradiomicsforpredictinganadaptiveradiotherapytriggerofillfittedthermoplasticmasksinpatientswithnasopharyngealcarcinoma
AT zhouta amulticenterstudyofctbasednecknodalradiomicsforpredictinganadaptiveradiotherapytriggerofillfittedthermoplasticmasksinpatientswithnasopharyngealcarcinoma
AT pengtao amulticenterstudyofctbasednecknodalradiomicsforpredictinganadaptiveradiotherapytriggerofillfittedthermoplasticmasksinpatientswithnasopharyngealcarcinoma
AT cheungandylaiyin amulticenterstudyofctbasednecknodalradiomicsforpredictinganadaptiveradiotherapytriggerofillfittedthermoplasticmasksinpatientswithnasopharyngealcarcinoma
AT chautinching amulticenterstudyofctbasednecknodalradiomicsforpredictinganadaptiveradiotherapytriggerofillfittedthermoplasticmasksinpatientswithnasopharyngealcarcinoma
AT leefranciskarho amulticenterstudyofctbasednecknodalradiomicsforpredictinganadaptiveradiotherapytriggerofillfittedthermoplasticmasksinpatientswithnasopharyngealcarcinoma
AT yipceliawaiyi amulticenterstudyofctbasednecknodalradiomicsforpredictinganadaptiveradiotherapytriggerofillfittedthermoplasticmasksinpatientswithnasopharyngealcarcinoma
AT aukwokhung amulticenterstudyofctbasednecknodalradiomicsforpredictinganadaptiveradiotherapytriggerofillfittedthermoplasticmasksinpatientswithnasopharyngealcarcinoma
AT leevictorhofun amulticenterstudyofctbasednecknodalradiomicsforpredictinganadaptiveradiotherapytriggerofillfittedthermoplasticmasksinpatientswithnasopharyngealcarcinoma
AT changamytienyee amulticenterstudyofctbasednecknodalradiomicsforpredictinganadaptiveradiotherapytriggerofillfittedthermoplasticmasksinpatientswithnasopharyngealcarcinoma
AT chanlawrencewingchi amulticenterstudyofctbasednecknodalradiomicsforpredictinganadaptiveradiotherapytriggerofillfittedthermoplasticmasksinpatientswithnasopharyngealcarcinoma
AT caijing amulticenterstudyofctbasednecknodalradiomicsforpredictinganadaptiveradiotherapytriggerofillfittedthermoplasticmasksinpatientswithnasopharyngealcarcinoma
AT lamsaikit multicenterstudyofctbasednecknodalradiomicsforpredictinganadaptiveradiotherapytriggerofillfittedthermoplasticmasksinpatientswithnasopharyngealcarcinoma
AT zhangjiang multicenterstudyofctbasednecknodalradiomicsforpredictinganadaptiveradiotherapytriggerofillfittedthermoplasticmasksinpatientswithnasopharyngealcarcinoma
AT zhangyuanpeng multicenterstudyofctbasednecknodalradiomicsforpredictinganadaptiveradiotherapytriggerofillfittedthermoplasticmasksinpatientswithnasopharyngealcarcinoma
AT libing multicenterstudyofctbasednecknodalradiomicsforpredictinganadaptiveradiotherapytriggerofillfittedthermoplasticmasksinpatientswithnasopharyngealcarcinoma
AT niruiyan multicenterstudyofctbasednecknodalradiomicsforpredictinganadaptiveradiotherapytriggerofillfittedthermoplasticmasksinpatientswithnasopharyngealcarcinoma
AT zhouta multicenterstudyofctbasednecknodalradiomicsforpredictinganadaptiveradiotherapytriggerofillfittedthermoplasticmasksinpatientswithnasopharyngealcarcinoma
AT pengtao multicenterstudyofctbasednecknodalradiomicsforpredictinganadaptiveradiotherapytriggerofillfittedthermoplasticmasksinpatientswithnasopharyngealcarcinoma
AT cheungandylaiyin multicenterstudyofctbasednecknodalradiomicsforpredictinganadaptiveradiotherapytriggerofillfittedthermoplasticmasksinpatientswithnasopharyngealcarcinoma
AT chautinching multicenterstudyofctbasednecknodalradiomicsforpredictinganadaptiveradiotherapytriggerofillfittedthermoplasticmasksinpatientswithnasopharyngealcarcinoma
AT leefranciskarho multicenterstudyofctbasednecknodalradiomicsforpredictinganadaptiveradiotherapytriggerofillfittedthermoplasticmasksinpatientswithnasopharyngealcarcinoma
AT yipceliawaiyi multicenterstudyofctbasednecknodalradiomicsforpredictinganadaptiveradiotherapytriggerofillfittedthermoplasticmasksinpatientswithnasopharyngealcarcinoma
AT aukwokhung multicenterstudyofctbasednecknodalradiomicsforpredictinganadaptiveradiotherapytriggerofillfittedthermoplasticmasksinpatientswithnasopharyngealcarcinoma
AT leevictorhofun multicenterstudyofctbasednecknodalradiomicsforpredictinganadaptiveradiotherapytriggerofillfittedthermoplasticmasksinpatientswithnasopharyngealcarcinoma
AT changamytienyee multicenterstudyofctbasednecknodalradiomicsforpredictinganadaptiveradiotherapytriggerofillfittedthermoplasticmasksinpatientswithnasopharyngealcarcinoma
AT chanlawrencewingchi multicenterstudyofctbasednecknodalradiomicsforpredictinganadaptiveradiotherapytriggerofillfittedthermoplasticmasksinpatientswithnasopharyngealcarcinoma
AT caijing multicenterstudyofctbasednecknodalradiomicsforpredictinganadaptiveradiotherapytriggerofillfittedthermoplasticmasksinpatientswithnasopharyngealcarcinoma