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Prognostic Value of Radiological Extranodal Extension Detected by Computed Tomography for Predicting Outcomes in Patients With Locally Advanced Head and Neck Squamous Cell Cancer Treated With Radical Concurrent Chemoradiotherapy
OBJECTIVE: Extra Nodal Extension (ENE) assessment in locally advanced head and neck cancers (LAHNCC) treated with concurrent chemo radiotherapy (CCRT) is challenging and hence the American Joint Committee on Cancer (AJCC) N staging. We hypothesized that radiology-based ENE (rENE) may directly impact...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9202501/ https://www.ncbi.nlm.nih.gov/pubmed/35719994 http://dx.doi.org/10.3389/fonc.2022.814895 |
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author | Mahajan, Abhishek Chand, Ankur Agarwal, Ujjwal Patil, Vijay Vaish, Richa Noronha, Vanita Joshi, Amit Kapoor, Akhil Sable, Nilesh Ahuja, Ankita Shukla, Shreya Menon, Nandini Agarwal, Jai Prakash Laskar, Sarbani Ghosh D’ Cruz, Anil Chaturvedi, Pankaj Chaukar, Devendra Pai, P. S. Pantvaidya, Gouri Thiagarajan, Shivakumar Rane, Swapnil Prabhash, Kumar |
author_facet | Mahajan, Abhishek Chand, Ankur Agarwal, Ujjwal Patil, Vijay Vaish, Richa Noronha, Vanita Joshi, Amit Kapoor, Akhil Sable, Nilesh Ahuja, Ankita Shukla, Shreya Menon, Nandini Agarwal, Jai Prakash Laskar, Sarbani Ghosh D’ Cruz, Anil Chaturvedi, Pankaj Chaukar, Devendra Pai, P. S. Pantvaidya, Gouri Thiagarajan, Shivakumar Rane, Swapnil Prabhash, Kumar |
author_sort | Mahajan, Abhishek |
collection | PubMed |
description | OBJECTIVE: Extra Nodal Extension (ENE) assessment in locally advanced head and neck cancers (LAHNCC) treated with concurrent chemo radiotherapy (CCRT) is challenging and hence the American Joint Committee on Cancer (AJCC) N staging. We hypothesized that radiology-based ENE (rENE) may directly impact outcomes in LAHNSCC treated with radical CCRT. MATERIALS AND METHODS: Open-label, investigator-initiated, randomized controlled trial (RCT) (2012–2018), which included LAHNSCC planned for CCRT. Patients were randomized 1:1 to radical radiotherapy (66–70 grays) with concurrent weekly cisplatin (30 mg/m(2)) [cisplatin radiation arm (CRT)] or same schedule of CRT with weekly nimotuzumab (200 mg) [nimotuzumab plus CRT (NCRT)]. A total of 536 patients were accrued and 182 were excluded due to the non-availability of Digital Imaging and Communications in Medicine (DICOM) computed tomography (CT) data. A total of 354 patients were analyzed for rENE. Metastatic nodes were evaluated based on five criteria and further classified as rENE as positive/negative based on three-criteria capsule irregularity with fat stranding, fat invasion, and muscle/vessel invasion. We evaluated the association of rENE and disease-free survival (DFS), loco-regional recurrence-free survival (LRRFS), and overall survival (OS). RESULTS: A total of 244 (68.9%) patients had radiologically metastatic nodes (rN), out of which 140 (57.3%) had rENE. Distribution of rENE was balanced in the two study groups CRT or NCRT (p-value 0.412). The median follow-up period was 39 months (ranging from 35.5 to 42.8 months). Complete response (CR) was seen in 204 (57.6%); incomplete response (IR), i.e., partial response plus stable disease (PR + SD), in 126 (35.6%); and progressive disease (PD) in 24 (6.8%). rENE-positive group had poor survival compared to rENE-negative group 3-year OS (46.7% vs. 63.6%), poor DFS (48.8% vs. 87%), and LRRFS (39.9% vs. 60.4%). rENE positive had 1.71 times increased risk of IR than rENE negative. Overall stage, site, clinical metastatic node (cN), response, and rENE were the significant factors for predicting OS, DFS, and LRRFS on univariate analysis. After making adjustment on multivariate analysis, rENE was an independent prognostic factor for DFS and trending to be significant for OS. CONCLUSION: Pre-treatment rENE is an independent prognostic marker for survival in patients with LAHNSCC treated radically with CCRT that can be used as a potential predictive marker for response to treatment and hence stratify patients into responders vs. non-responders. We propose the mahajan rENE grading system applicable on CT, magnetic resonance imaging, positron emission tomography–contrast-enhanced CT, and ultrasound. |
format | Online Article Text |
id | pubmed-9202501 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92025012022-06-17 Prognostic Value of Radiological Extranodal Extension Detected by Computed Tomography for Predicting Outcomes in Patients With Locally Advanced Head and Neck Squamous Cell Cancer Treated With Radical Concurrent Chemoradiotherapy Mahajan, Abhishek Chand, Ankur Agarwal, Ujjwal Patil, Vijay Vaish, Richa Noronha, Vanita Joshi, Amit Kapoor, Akhil Sable, Nilesh Ahuja, Ankita Shukla, Shreya Menon, Nandini Agarwal, Jai Prakash Laskar, Sarbani Ghosh D’ Cruz, Anil Chaturvedi, Pankaj Chaukar, Devendra Pai, P. S. Pantvaidya, Gouri Thiagarajan, Shivakumar Rane, Swapnil Prabhash, Kumar Front Oncol Oncology OBJECTIVE: Extra Nodal Extension (ENE) assessment in locally advanced head and neck cancers (LAHNCC) treated with concurrent chemo radiotherapy (CCRT) is challenging and hence the American Joint Committee on Cancer (AJCC) N staging. We hypothesized that radiology-based ENE (rENE) may directly impact outcomes in LAHNSCC treated with radical CCRT. MATERIALS AND METHODS: Open-label, investigator-initiated, randomized controlled trial (RCT) (2012–2018), which included LAHNSCC planned for CCRT. Patients were randomized 1:1 to radical radiotherapy (66–70 grays) with concurrent weekly cisplatin (30 mg/m(2)) [cisplatin radiation arm (CRT)] or same schedule of CRT with weekly nimotuzumab (200 mg) [nimotuzumab plus CRT (NCRT)]. A total of 536 patients were accrued and 182 were excluded due to the non-availability of Digital Imaging and Communications in Medicine (DICOM) computed tomography (CT) data. A total of 354 patients were analyzed for rENE. Metastatic nodes were evaluated based on five criteria and further classified as rENE as positive/negative based on three-criteria capsule irregularity with fat stranding, fat invasion, and muscle/vessel invasion. We evaluated the association of rENE and disease-free survival (DFS), loco-regional recurrence-free survival (LRRFS), and overall survival (OS). RESULTS: A total of 244 (68.9%) patients had radiologically metastatic nodes (rN), out of which 140 (57.3%) had rENE. Distribution of rENE was balanced in the two study groups CRT or NCRT (p-value 0.412). The median follow-up period was 39 months (ranging from 35.5 to 42.8 months). Complete response (CR) was seen in 204 (57.6%); incomplete response (IR), i.e., partial response plus stable disease (PR + SD), in 126 (35.6%); and progressive disease (PD) in 24 (6.8%). rENE-positive group had poor survival compared to rENE-negative group 3-year OS (46.7% vs. 63.6%), poor DFS (48.8% vs. 87%), and LRRFS (39.9% vs. 60.4%). rENE positive had 1.71 times increased risk of IR than rENE negative. Overall stage, site, clinical metastatic node (cN), response, and rENE were the significant factors for predicting OS, DFS, and LRRFS on univariate analysis. After making adjustment on multivariate analysis, rENE was an independent prognostic factor for DFS and trending to be significant for OS. CONCLUSION: Pre-treatment rENE is an independent prognostic marker for survival in patients with LAHNSCC treated radically with CCRT that can be used as a potential predictive marker for response to treatment and hence stratify patients into responders vs. non-responders. We propose the mahajan rENE grading system applicable on CT, magnetic resonance imaging, positron emission tomography–contrast-enhanced CT, and ultrasound. Frontiers Media S.A. 2022-05-27 /pmc/articles/PMC9202501/ /pubmed/35719994 http://dx.doi.org/10.3389/fonc.2022.814895 Text en Copyright © 2022 Mahajan, Chand, Agarwal, Patil, Vaish, Noronha, Joshi, Kapoor, Sable, Ahuja, Shukla, Menon, Agarwal, Laskar, D’ Cruz, Chaturvedi, Chaukar, Pai, Pantvaidya, Thiagarajan, Rane and Prabhash https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Mahajan, Abhishek Chand, Ankur Agarwal, Ujjwal Patil, Vijay Vaish, Richa Noronha, Vanita Joshi, Amit Kapoor, Akhil Sable, Nilesh Ahuja, Ankita Shukla, Shreya Menon, Nandini Agarwal, Jai Prakash Laskar, Sarbani Ghosh D’ Cruz, Anil Chaturvedi, Pankaj Chaukar, Devendra Pai, P. S. Pantvaidya, Gouri Thiagarajan, Shivakumar Rane, Swapnil Prabhash, Kumar Prognostic Value of Radiological Extranodal Extension Detected by Computed Tomography for Predicting Outcomes in Patients With Locally Advanced Head and Neck Squamous Cell Cancer Treated With Radical Concurrent Chemoradiotherapy |
title | Prognostic Value of Radiological Extranodal Extension Detected by Computed Tomography for Predicting Outcomes in Patients With Locally Advanced Head and Neck Squamous Cell Cancer Treated With Radical Concurrent Chemoradiotherapy |
title_full | Prognostic Value of Radiological Extranodal Extension Detected by Computed Tomography for Predicting Outcomes in Patients With Locally Advanced Head and Neck Squamous Cell Cancer Treated With Radical Concurrent Chemoradiotherapy |
title_fullStr | Prognostic Value of Radiological Extranodal Extension Detected by Computed Tomography for Predicting Outcomes in Patients With Locally Advanced Head and Neck Squamous Cell Cancer Treated With Radical Concurrent Chemoradiotherapy |
title_full_unstemmed | Prognostic Value of Radiological Extranodal Extension Detected by Computed Tomography for Predicting Outcomes in Patients With Locally Advanced Head and Neck Squamous Cell Cancer Treated With Radical Concurrent Chemoradiotherapy |
title_short | Prognostic Value of Radiological Extranodal Extension Detected by Computed Tomography for Predicting Outcomes in Patients With Locally Advanced Head and Neck Squamous Cell Cancer Treated With Radical Concurrent Chemoradiotherapy |
title_sort | prognostic value of radiological extranodal extension detected by computed tomography for predicting outcomes in patients with locally advanced head and neck squamous cell cancer treated with radical concurrent chemoradiotherapy |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9202501/ https://www.ncbi.nlm.nih.gov/pubmed/35719994 http://dx.doi.org/10.3389/fonc.2022.814895 |
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