Establishing ADC-Based Histogram and Texture Features for Early Treatment-Induced Changes in Head and Neck Squamous Cell Carcinoma
Anna Rodrigues, Kelly Loman, Jeff Nawrocki, Jenny K. Hoang, Zheng Chang, Yvonne M. Mowery, Taofik Oyekunle, Donna Niedzwiecki, David M. Brizel, Oana Craciunescu
The purpose of this study was to assess baseline variability in histogram and texture features derived from apparent diffusion coefficient (ADC) maps from diffusion-weighted MRI (DW-MRI) examinations and to identify early treatment-induced changes to these features in patients with head and neck squamous cell carcinoma (HNSCC) undergoing definitive chemoradiation. Patients with American Joint Committee on Cancer Stage III–IV (7th edition) HNSCC were prospectively enrolled on an IRB-approved study to undergo two pre-treatment baseline DW-MRI examinations, performed 1 week apart, and a third early intra-treatment DW-MRI examination during the second week of chemoradiation. Forty texture and six histogram features were derived from ADC maps. Repeatability of the features from the baseline ADC maps was assessed with the intra-class correlation coefficient (ICC). A Wilcoxon signed-rank test compared average baseline and early treatment feature changes. Data from nine patients were used for this study. Comparison of the two baseline ADC maps yielded 11 features with an ICC ≥ 0.80, indicating that these features had excellent repeatability: Run Gray-Level Non-Uniformity, Coarseness, Long Zone High Gray-Level, Variance (Histogram Feature), Cluster Shade, Long Zone, Variance (Texture Feature), Run Length Non-Uniformity, Correlation, Cluster Tendency, and ADC Median. The Wilcoxon signed-rank test resulted in four features with significantly different early treatment-induced changes compared to the baseline values: Run Gray-Level Non-Uniformity (p = 0.005), Run Length Non-Uniformity (p = 0.005), Coarseness (p = 0.006), and Variance (Histogram) (p = 0.006). The feasibility of histogram and texture analysis as a potential biomarker is dependent on the baseline variability of each metric, which disqualifies many features.
Frontiers in Oncology
https://doi.org/10.3389/fonc.2021.708398
DW-MRI
early treatment assessment
repeatability
texture analysis
10.3389/fonc.2021.708398
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Squamous Cell Carcinoma of Head and Neck Medicine & Life Sciences 100%
Diffusion Magnetic Resonance Imaging Medicine & Life Sciences 63%
Research Ethics Committees Medicine & Life Sciences 18%
Neoplasms Medicine & Life Sciences 5%
Rodrigues, A., Loman, K., Nawrocki, J., Hoang, J. K., Chang, Z., Mowery, Y. M., Oyekunle, T., Niedzwiecki, D., Brizel, D. M., & Craciunescu, O. (2021). Establishing ADC-Based Histogram and Texture Features for Early Treatment-Induced Changes in Head and Neck Squamous Cell Carcinoma. Frontiers in Oncology, 11, [708398]. https://doi.org/10.3389/fonc.2021.708398
Establishing ADC-Based Histogram and Texture Features for Early Treatment-Induced Changes in Head and Neck Squamous Cell Carcinoma. / Rodrigues, Anna; Loman, Kelly; Nawrocki, Jeff et al.
In: Frontiers in Oncology, Vol. 11, 708398, 02.09.2021.
Rodrigues, A, Loman, K, Nawrocki, J, Hoang, JK, Chang, Z, Mowery, YM, Oyekunle, T, Niedzwiecki, D, Brizel, DM & Craciunescu, O 2021, 'Establishing ADC-Based Histogram and Texture Features for Early Treatment-Induced Changes in Head and Neck Squamous Cell Carcinoma', Frontiers in Oncology, vol. 11, 708398. https://doi.org/10.3389/fonc.2021.708398
Rodrigues A, Loman K, Nawrocki J, Hoang JK, Chang Z, Mowery YM et al. Establishing ADC-Based Histogram and Texture Features for Early Treatment-Induced Changes in Head and Neck Squamous Cell Carcinoma. Frontiers in Oncology. 2021 Sep 2;11:708398. doi: 10.3389/fonc.2021.708398
Rodrigues, Anna ; Loman, Kelly ; Nawrocki, Jeff et al. / Establishing ADC-Based Histogram and Texture Features for Early Treatment-Induced Changes in Head and Neck Squamous Cell Carcinoma. In: Frontiers in Oncology. 2021 ; Vol. 11.
@article{5584890158974c97b5af4835dc21a663,
title = "Establishing ADC-Based Histogram and Texture Features for Early Treatment-Induced Changes in Head and Neck Squamous Cell Carcinoma",
abstract = "The purpose of this study was to assess baseline variability in histogram and texture features derived from apparent diffusion coefficient (ADC) maps from diffusion-weighted MRI (DW-MRI) examinations and to identify early treatment-induced changes to these features in patients with head and neck squamous cell carcinoma (HNSCC) undergoing definitive chemoradiation. Patients with American Joint Committee on Cancer Stage III–IV (7th edition) HNSCC were prospectively enrolled on an IRB-approved study to undergo two pre-treatment baseline DW-MRI examinations, performed 1 week apart, and a third early intra-treatment DW-MRI examination during the second week of chemoradiation. Forty texture and six histogram features were derived from ADC maps. Repeatability of the features from the baseline ADC maps was assessed with the intra-class correlation coefficient (ICC). A Wilcoxon signed-rank test compared average baseline and early treatment feature changes. Data from nine patients were used for this study. Comparison of the two baseline ADC maps yielded 11 features with an ICC ≥ 0.80, indicating that these features had excellent repeatability: Run Gray-Level Non-Uniformity, Coarseness, Long Zone High Gray-Level, Variance (Histogram Feature), Cluster Shade, Long Zone, Variance (Texture Feature), Run Length Non-Uniformity, Correlation, Cluster Tendency, and ADC Median. The Wilcoxon signed-rank test resulted in four features with significantly different early treatment-induced changes compared to the baseline values: Run Gray-Level Non-Uniformity (p = 0.005), Run Length Non-Uniformity (p = 0.005), Coarseness (p = 0.006), and Variance (Histogram) (p = 0.006). The feasibility of histogram and texture analysis as a potential biomarker is dependent on the baseline variability of each metric, which disqualifies many features.",
keywords = "DW-MRI, early treatment assessment, head and neck cancer, repeatability, texture analysis",
author = "Anna Rodrigues and Kelly Loman and Jeff Nawrocki and Hoang, {Jenny K.} and Zheng Chang and Mowery, {Yvonne M.} and Taofik Oyekunle and Donna Niedzwiecki and Brizel, {David M.} and Oana Craciunescu",
note = "Funding Information: The authors would like to acknowledge helpful discussions on texture analysis interpretation with Kyle Lafata and Chunhao Wang. Publisher Copyright: {\textcopyright} Copyright {\textcopyright} 2021 Rodrigues, Loman, Nawrocki, Hoang, Chang, Mowery, Oyekunle, Niedzwiecki, Brizel and Craciunescu.",
doi = "10.3389/fonc.2021.708398",
journal = "Frontiers in Oncology",
T1 - Establishing ADC-Based Histogram and Texture Features for Early Treatment-Induced Changes in Head and Neck Squamous Cell Carcinoma
AU - Rodrigues, Anna
AU - Loman, Kelly
AU - Nawrocki, Jeff
AU - Hoang, Jenny K.
AU - Chang, Zheng
AU - Mowery, Yvonne M.
AU - Oyekunle, Taofik
AU - Niedzwiecki, Donna
AU - Brizel, David M.
AU - Craciunescu, Oana
N1 - Funding Information: The authors would like to acknowledge helpful discussions on texture analysis interpretation with Kyle Lafata and Chunhao Wang. Publisher Copyright: © Copyright © 2021 Rodrigues, Loman, Nawrocki, Hoang, Chang, Mowery, Oyekunle, Niedzwiecki, Brizel and Craciunescu.
N2 - The purpose of this study was to assess baseline variability in histogram and texture features derived from apparent diffusion coefficient (ADC) maps from diffusion-weighted MRI (DW-MRI) examinations and to identify early treatment-induced changes to these features in patients with head and neck squamous cell carcinoma (HNSCC) undergoing definitive chemoradiation. Patients with American Joint Committee on Cancer Stage III–IV (7th edition) HNSCC were prospectively enrolled on an IRB-approved study to undergo two pre-treatment baseline DW-MRI examinations, performed 1 week apart, and a third early intra-treatment DW-MRI examination during the second week of chemoradiation. Forty texture and six histogram features were derived from ADC maps. Repeatability of the features from the baseline ADC maps was assessed with the intra-class correlation coefficient (ICC). A Wilcoxon signed-rank test compared average baseline and early treatment feature changes. Data from nine patients were used for this study. Comparison of the two baseline ADC maps yielded 11 features with an ICC ≥ 0.80, indicating that these features had excellent repeatability: Run Gray-Level Non-Uniformity, Coarseness, Long Zone High Gray-Level, Variance (Histogram Feature), Cluster Shade, Long Zone, Variance (Texture Feature), Run Length Non-Uniformity, Correlation, Cluster Tendency, and ADC Median. The Wilcoxon signed-rank test resulted in four features with significantly different early treatment-induced changes compared to the baseline values: Run Gray-Level Non-Uniformity (p = 0.005), Run Length Non-Uniformity (p = 0.005), Coarseness (p = 0.006), and Variance (Histogram) (p = 0.006). The feasibility of histogram and texture analysis as a potential biomarker is dependent on the baseline variability of each metric, which disqualifies many features.
AB - The purpose of this study was to assess baseline variability in histogram and texture features derived from apparent diffusion coefficient (ADC) maps from diffusion-weighted MRI (DW-MRI) examinations and to identify early treatment-induced changes to these features in patients with head and neck squamous cell carcinoma (HNSCC) undergoing definitive chemoradiation. Patients with American Joint Committee on Cancer Stage III–IV (7th edition) HNSCC were prospectively enrolled on an IRB-approved study to undergo two pre-treatment baseline DW-MRI examinations, performed 1 week apart, and a third early intra-treatment DW-MRI examination during the second week of chemoradiation. Forty texture and six histogram features were derived from ADC maps. Repeatability of the features from the baseline ADC maps was assessed with the intra-class correlation coefficient (ICC). A Wilcoxon signed-rank test compared average baseline and early treatment feature changes. Data from nine patients were used for this study. Comparison of the two baseline ADC maps yielded 11 features with an ICC ≥ 0.80, indicating that these features had excellent repeatability: Run Gray-Level Non-Uniformity, Coarseness, Long Zone High Gray-Level, Variance (Histogram Feature), Cluster Shade, Long Zone, Variance (Texture Feature), Run Length Non-Uniformity, Correlation, Cluster Tendency, and ADC Median. The Wilcoxon signed-rank test resulted in four features with significantly different early treatment-induced changes compared to the baseline values: Run Gray-Level Non-Uniformity (p = 0.005), Run Length Non-Uniformity (p = 0.005), Coarseness (p = 0.006), and Variance (Histogram) (p = 0.006). The feasibility of histogram and texture analysis as a potential biomarker is dependent on the baseline variability of each metric, which disqualifies many features.
KW - DW-MRI
KW - early treatment assessment
KW - head and neck cancer
KW - repeatability
KW - texture analysis
U2 - 10.3389/fonc.2021.708398
DO - 10.3389/fonc.2021.708398
JO - Frontiers in Oncology
JF - Frontiers in Oncology