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Article

Morphological, Functional and Texture Analysis Magnetic Resonance Imaging Features in the Assessment of Radiotherapy-Induced Xerostomia in Oropharyngeal Cancer

1
Radiodiagnostic Unit n.2, Department of Experimental and Clinical Biomedical Sciences, University of Florence-Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla 3, 50134 Florence, Italy
2
Department of Information Engineering, University of Florence, Via S. Marta, 3, 50139 Florence, Italy
3
Rheumatology Unit, Department of Clinical and Experimental Medicine, University of Florence, 50134 Florence, Italy
4
Department of Radiological Sciences, Oncology and Pathology, Policlinico Umberto I, Sapienza University, 00185 Rome, Italy
5
Department of Radiology, University of Florence-Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla 3, 50134 Florence, Italy
6
Radiation Oncology, University of Florence-Azienda Ospedaliero-Universitaria Careggi, 50134 Florence, Italy
7
Radiotherapy Unit, Department of Experimental and Clinical Biomedical Sciences, University of Florence-Azienda Ospedaliero-Universitaria Careggi, Viale Morgagni 85, 50134 Florence, Italy
*
Author to whom correspondence should be addressed.
Appl. Sci. 2023, 13(2), 810; https://doi.org/10.3390/app13020810
Submission received: 14 December 2022 / Revised: 2 January 2023 / Accepted: 3 January 2023 / Published: 6 January 2023

Abstract

The aim of this single-center, observational, retrospective study was to investigate magnetic resonance imaging (MRI) biomarkers for the assessment of radiotherapy (RT)-induced xerostomia. Twenty-seven patients who underwent radiation therapy for oropharyngeal cancer were divided into three groups according to the severity of their xerostomia—mild, moderate, and severe—clinically confirmed with the Common Terminology Criteria for Adverse Events (CTCAE). No severe xerostomia was found. Conventional and functional MRI (perfusion- and diffusion- weighted imaging) performed both pre- and post-RT were studied for signal intensity, mean apparent diffusion coefficient (ADC) values, k-trans, and area under the perfusion curves. Contrast-enhanced T1 images and ADC maps were imported into 3D slicer software, and salivary gland volumes were segmented. A total of 107 texture features were derived. T-Student and Wilcoxon signed-rank tests were performed on functional MRI parameters and texture analysis features to identify the differences between pre- and post-RT populations. A p-value < 0.01 was defined as acceptable. Receiver operating characteristic (ROC) curves were plotted for significant parameters to discriminate the severity of xerostomia in the pre-RT population. Conventional and functional MRI did not yield statistically significant results; on the contrary, five texture features showed significant variation between pre- and post-RT on the ADC maps, of which only informational measure of correlation 1 (IMC 1) was able to discriminate the severity of RT-induced xerostomia in the pre-RT population (area under the curve (AUC) > 0.7). Values lower than the cut-off of −1.473 × 10−11 were associated with moderate xerostomia, enabling the differentiation of mild xerostomia from moderate xerostomia with a 73% sensitivity, 75% specificity, and 75% diagnostic accuracy. Therefore, the texture feature IMC 1 on the ADC maps allowed the distinction between different degrees of severity of RT-induced xerostomia in the pre-RT population. Accordingly, texture analysis on ADC maps should be considered a useful tool to evaluate salivary gland radiosensitivity and help identify patients at risk of developing more serious xerostomia before radiation therapy is administered.
Keywords: xerostomia; magnetic resonance imaging; texture analysis; radiomics; head and neck xerostomia; magnetic resonance imaging; texture analysis; radiomics; head and neck

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MDPI and ACS Style

Calamandrei, L.; Mariotti, L.; Bicci, E.; Calistri, L.; Barcali, E.; Orlandi, M.; Landini, N.; Mungai, F.; Bonasera, L.; Bonomo, P.; et al. Morphological, Functional and Texture Analysis Magnetic Resonance Imaging Features in the Assessment of Radiotherapy-Induced Xerostomia in Oropharyngeal Cancer. Appl. Sci. 2023, 13, 810. https://doi.org/10.3390/app13020810

AMA Style

Calamandrei L, Mariotti L, Bicci E, Calistri L, Barcali E, Orlandi M, Landini N, Mungai F, Bonasera L, Bonomo P, et al. Morphological, Functional and Texture Analysis Magnetic Resonance Imaging Features in the Assessment of Radiotherapy-Induced Xerostomia in Oropharyngeal Cancer. Applied Sciences. 2023; 13(2):810. https://doi.org/10.3390/app13020810

Chicago/Turabian Style

Calamandrei, Leonardo, Luca Mariotti, Eleonora Bicci, Linda Calistri, Eleonora Barcali, Martina Orlandi, Nicholas Landini, Francesco Mungai, Luigi Bonasera, Pierluigi Bonomo, and et al. 2023. "Morphological, Functional and Texture Analysis Magnetic Resonance Imaging Features in the Assessment of Radiotherapy-Induced Xerostomia in Oropharyngeal Cancer" Applied Sciences 13, no. 2: 810. https://doi.org/10.3390/app13020810

APA Style

Calamandrei, L., Mariotti, L., Bicci, E., Calistri, L., Barcali, E., Orlandi, M., Landini, N., Mungai, F., Bonasera, L., Bonomo, P., Desideri, I., Bocchi, L., & Nardi, C. (2023). Morphological, Functional and Texture Analysis Magnetic Resonance Imaging Features in the Assessment of Radiotherapy-Induced Xerostomia in Oropharyngeal Cancer. Applied Sciences, 13(2), 810. https://doi.org/10.3390/app13020810

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