Texture analysis of 18F-FDG PET images for the detection of cervical lymph node metastases in patients with oral squamous cell carcinoma

Objectives: This study aimed to determine whether texture analysis of positron emission tomography (PET) images from patients with oral squamous cell carcinoma (OSCC) can accurately diagnose cervical lymph node (LN) metastases. Methods: We conducted a retrospective chart review of 166 patients with...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	M. Kimura, I. Kato, K. Ishibashi, K. Hashimoto, H. Tsuji, Y. Sone, M. Umemura, T. Nagao
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2022
Materias:	Oral cancer Lymph node Heterogeneity Positron emission tomography Textural indices Internal medicine RC31-1245 Surgery RD1-811
Acceso en línea:	https://doaj.org/article/700557e736d84a08ab72418e30441a46
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:700557e736d84a08ab72418e30441a46
record_format	dspace
spelling	oai:doaj.org-article:700557e736d84a08ab72418e30441a462021-11-24T04:35:31ZTexture analysis of 18F-FDG PET images for the detection of cervical lymph node metastases in patients with oral squamous cell carcinoma2667-147610.1016/j.adoms.2021.100228https://doaj.org/article/700557e736d84a08ab72418e30441a462022-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S266714762100217Xhttps://doaj.org/toc/2667-1476Objectives: This study aimed to determine whether texture analysis of positron emission tomography (PET) images from patients with oral squamous cell carcinoma (OSCC) can accurately diagnose cervical lymph node (LN) metastases. Methods: We conducted a retrospective chart review of 166 patients with newly pathologically diagnosed OSCC. The patient inclusion criteria were LNs exhibiting high 18F-fluorodeoxyglucose uptake [maximum standardised uptake value (SUVmax) ≥2.5] and/or LNs diagnosed as metastatic cervical LNs by a board-certified nuclear medicine physician, irrespective of the SUVmax value. The patient exclusion criteria were LNs with a metabolic tumour volume (MTV) of ≤1.0 cm3. The primary predictor variables were 31 textural indices, SUVmax and MTV. The diagnostic performance was evaluated by receiver operating characteristic (ROC) curve analysis. Results: Analyses of 91 cervical LNs (48 positives, 43 negatives) indicated that long-run emphasis (LRE) could demonstrate the highest area under the ROC curve (AUC) of 0.809. Comparison of the AUCs between SUVmax and LRE indicated that the AUC of LRE was marginally higher than that of SUVmax (p = 0.067). Furthermore, the diagnostic performance of the combination of SUVmax and LRE was more accurate than that of SUVmax alone (p = 0.04). Conclusions: The combination of SUVmax and LRE may improve the diagnostic accuracy of determining cervical LN metastases.M. KimuraI. KatoK. IshibashiK. HashimotoH. TsujiY. SoneM. UmemuraT. NagaoElsevierarticleOral cancerLymph nodeHeterogeneityPositron emission tomographyTextural indicesInternal medicineRC31-1245SurgeryRD1-811ENAdvances in Oral and Maxillofacial Surgery, Vol 5, Iss , Pp 100228- (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	Oral cancer Lymph node Heterogeneity Positron emission tomography Textural indices Internal medicine RC31-1245 Surgery RD1-811
spellingShingle	Oral cancer Lymph node Heterogeneity Positron emission tomography Textural indices Internal medicine RC31-1245 Surgery RD1-811 M. Kimura I. Kato K. Ishibashi K. Hashimoto H. Tsuji Y. Sone M. Umemura T. Nagao Texture analysis of 18F-FDG PET images for the detection of cervical lymph node metastases in patients with oral squamous cell carcinoma
description	Objectives: This study aimed to determine whether texture analysis of positron emission tomography (PET) images from patients with oral squamous cell carcinoma (OSCC) can accurately diagnose cervical lymph node (LN) metastases. Methods: We conducted a retrospective chart review of 166 patients with newly pathologically diagnosed OSCC. The patient inclusion criteria were LNs exhibiting high 18F-fluorodeoxyglucose uptake [maximum standardised uptake value (SUVmax) ≥2.5] and/or LNs diagnosed as metastatic cervical LNs by a board-certified nuclear medicine physician, irrespective of the SUVmax value. The patient exclusion criteria were LNs with a metabolic tumour volume (MTV) of ≤1.0 cm3. The primary predictor variables were 31 textural indices, SUVmax and MTV. The diagnostic performance was evaluated by receiver operating characteristic (ROC) curve analysis. Results: Analyses of 91 cervical LNs (48 positives, 43 negatives) indicated that long-run emphasis (LRE) could demonstrate the highest area under the ROC curve (AUC) of 0.809. Comparison of the AUCs between SUVmax and LRE indicated that the AUC of LRE was marginally higher than that of SUVmax (p = 0.067). Furthermore, the diagnostic performance of the combination of SUVmax and LRE was more accurate than that of SUVmax alone (p = 0.04). Conclusions: The combination of SUVmax and LRE may improve the diagnostic accuracy of determining cervical LN metastases.
format	article
author	M. Kimura I. Kato K. Ishibashi K. Hashimoto H. Tsuji Y. Sone M. Umemura T. Nagao
author_facet	M. Kimura I. Kato K. Ishibashi K. Hashimoto H. Tsuji Y. Sone M. Umemura T. Nagao
author_sort	M. Kimura
title	Texture analysis of 18F-FDG PET images for the detection of cervical lymph node metastases in patients with oral squamous cell carcinoma
title_short	Texture analysis of 18F-FDG PET images for the detection of cervical lymph node metastases in patients with oral squamous cell carcinoma
title_full	Texture analysis of 18F-FDG PET images for the detection of cervical lymph node metastases in patients with oral squamous cell carcinoma
title_fullStr	Texture analysis of 18F-FDG PET images for the detection of cervical lymph node metastases in patients with oral squamous cell carcinoma
title_full_unstemmed	Texture analysis of 18F-FDG PET images for the detection of cervical lymph node metastases in patients with oral squamous cell carcinoma
title_sort	texture analysis of 18f-fdg pet images for the detection of cervical lymph node metastases in patients with oral squamous cell carcinoma
publisher	Elsevier
publishDate	2022
url	https://doaj.org/article/700557e736d84a08ab72418e30441a46
work_keys_str_mv	AT mkimura textureanalysisof18ffdgpetimagesforthedetectionofcervicallymphnodemetastasesinpatientswithoralsquamouscellcarcinoma AT ikato textureanalysisof18ffdgpetimagesforthedetectionofcervicallymphnodemetastasesinpatientswithoralsquamouscellcarcinoma AT kishibashi textureanalysisof18ffdgpetimagesforthedetectionofcervicallymphnodemetastasesinpatientswithoralsquamouscellcarcinoma AT khashimoto textureanalysisof18ffdgpetimagesforthedetectionofcervicallymphnodemetastasesinpatientswithoralsquamouscellcarcinoma AT htsuji textureanalysisof18ffdgpetimagesforthedetectionofcervicallymphnodemetastasesinpatientswithoralsquamouscellcarcinoma AT ysone textureanalysisof18ffdgpetimagesforthedetectionofcervicallymphnodemetastasesinpatientswithoralsquamouscellcarcinoma AT mumemura textureanalysisof18ffdgpetimagesforthedetectionofcervicallymphnodemetastasesinpatientswithoralsquamouscellcarcinoma AT tnagao textureanalysisof18ffdgpetimagesforthedetectionofcervicallymphnodemetastasesinpatientswithoralsquamouscellcarcinoma
_version_	1718415917946241024

Texture analysis of 18F-FDG PET images for the detection of cervical lymph node metastases in patients with oral squamous cell carcinoma

Ejemplares similares