Cargando…

Is PET/CT Able to Predict Histology in Thymic Epithelial Tumours? A Narrative Review

SIMPLE SUMMARY: Thymic epithelial tumours are rare and insidious malignancies. Histologically, they can be divided into different WHO subtypes and relapse risk classes. Pre-treatment biopsy is not always feasible or accurate in distinguishing WHO classes. (18)FDG PET/CT scan has been reported to pla...

Descripción completa

Detalles Bibliográficos
Autores principales: Chiappetta, Marco, Mendogni, Paolo, Cattaneo, Margherita, Evangelista, Jessica, Farina, Piero, Pizzuto, Daniele Antonio, Annunziata, Salvatore, Castello, Angelo, Congedo, Maria Teresa, Tabacco, Diomira, Sassorossi, Carolina, Castellani, Massimo, Nosotti, Mario, Margaritora, Stefano, Lococo, Filippo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818128/
https://www.ncbi.nlm.nih.gov/pubmed/36611390
http://dx.doi.org/10.3390/diagnostics13010098
_version_ 1784864909114212352
author Chiappetta, Marco
Mendogni, Paolo
Cattaneo, Margherita
Evangelista, Jessica
Farina, Piero
Pizzuto, Daniele Antonio
Annunziata, Salvatore
Castello, Angelo
Congedo, Maria Teresa
Tabacco, Diomira
Sassorossi, Carolina
Castellani, Massimo
Nosotti, Mario
Margaritora, Stefano
Lococo, Filippo
author_facet Chiappetta, Marco
Mendogni, Paolo
Cattaneo, Margherita
Evangelista, Jessica
Farina, Piero
Pizzuto, Daniele Antonio
Annunziata, Salvatore
Castello, Angelo
Congedo, Maria Teresa
Tabacco, Diomira
Sassorossi, Carolina
Castellani, Massimo
Nosotti, Mario
Margaritora, Stefano
Lococo, Filippo
author_sort Chiappetta, Marco
collection PubMed
description SIMPLE SUMMARY: Thymic epithelial tumours are rare and insidious malignancies. Histologically, they can be divided into different WHO subtypes and relapse risk classes. Pre-treatment biopsy is not always feasible or accurate in distinguishing WHO classes. (18)FDG PET/CT scan has been reported to play a remarkable role in the prediction of histology in these tumours (the so-called “non-invasive biopsy”). The present narrative review would like to summarise current evidence on this topic and discuss potential applications. ABSTRACT: Background: The usefulness of (18)FDG PET/CT scan in the evaluation of thymic epithelial tumours (TETs) has been reported by several authors, but data are still limited and its application in clinical practice is far from being defined. Methods: We performed a narrative review of pertinent literature in order to clarify the role of (18)FDG PET/CT in the prediction of TET histology and to discuss clinical implications and future perspectives. Results: There is only little evidence that (18)FDG PET/CT scan may distinguish thymic hyperplasia from thymic epithelial tumours. On the other hand, it seems to discriminate well thymomas from carcinomas and, even more, to predict the grade of malignancy (WHO classes). To this end, SUVmax and other PET variables (i.e., the ratio between SUVmax and tumour dimensions) have been adopted, with good results. Finally, however promising, the future of PET/CT and theranostics in TETs is far from being defined; more robust analysis of imaging texture on thymic neoplasms, as well as new exploratory studies with “stromal PET tracers,” are ongoing. Conclusions: PET may play a role in predicting histology in TETs and help physicians in the management of these insidious malignancies.
format Online
Article
Text
id pubmed-9818128
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-98181282023-01-07 Is PET/CT Able to Predict Histology in Thymic Epithelial Tumours? A Narrative Review Chiappetta, Marco Mendogni, Paolo Cattaneo, Margherita Evangelista, Jessica Farina, Piero Pizzuto, Daniele Antonio Annunziata, Salvatore Castello, Angelo Congedo, Maria Teresa Tabacco, Diomira Sassorossi, Carolina Castellani, Massimo Nosotti, Mario Margaritora, Stefano Lococo, Filippo Diagnostics (Basel) Review SIMPLE SUMMARY: Thymic epithelial tumours are rare and insidious malignancies. Histologically, they can be divided into different WHO subtypes and relapse risk classes. Pre-treatment biopsy is not always feasible or accurate in distinguishing WHO classes. (18)FDG PET/CT scan has been reported to play a remarkable role in the prediction of histology in these tumours (the so-called “non-invasive biopsy”). The present narrative review would like to summarise current evidence on this topic and discuss potential applications. ABSTRACT: Background: The usefulness of (18)FDG PET/CT scan in the evaluation of thymic epithelial tumours (TETs) has been reported by several authors, but data are still limited and its application in clinical practice is far from being defined. Methods: We performed a narrative review of pertinent literature in order to clarify the role of (18)FDG PET/CT in the prediction of TET histology and to discuss clinical implications and future perspectives. Results: There is only little evidence that (18)FDG PET/CT scan may distinguish thymic hyperplasia from thymic epithelial tumours. On the other hand, it seems to discriminate well thymomas from carcinomas and, even more, to predict the grade of malignancy (WHO classes). To this end, SUVmax and other PET variables (i.e., the ratio between SUVmax and tumour dimensions) have been adopted, with good results. Finally, however promising, the future of PET/CT and theranostics in TETs is far from being defined; more robust analysis of imaging texture on thymic neoplasms, as well as new exploratory studies with “stromal PET tracers,” are ongoing. Conclusions: PET may play a role in predicting histology in TETs and help physicians in the management of these insidious malignancies. MDPI 2022-12-29 /pmc/articles/PMC9818128/ /pubmed/36611390 http://dx.doi.org/10.3390/diagnostics13010098 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 Review
Chiappetta, Marco
Mendogni, Paolo
Cattaneo, Margherita
Evangelista, Jessica
Farina, Piero
Pizzuto, Daniele Antonio
Annunziata, Salvatore
Castello, Angelo
Congedo, Maria Teresa
Tabacco, Diomira
Sassorossi, Carolina
Castellani, Massimo
Nosotti, Mario
Margaritora, Stefano
Lococo, Filippo
Is PET/CT Able to Predict Histology in Thymic Epithelial Tumours? A Narrative Review
title Is PET/CT Able to Predict Histology in Thymic Epithelial Tumours? A Narrative Review
title_full Is PET/CT Able to Predict Histology in Thymic Epithelial Tumours? A Narrative Review
title_fullStr Is PET/CT Able to Predict Histology in Thymic Epithelial Tumours? A Narrative Review
title_full_unstemmed Is PET/CT Able to Predict Histology in Thymic Epithelial Tumours? A Narrative Review
title_short Is PET/CT Able to Predict Histology in Thymic Epithelial Tumours? A Narrative Review
title_sort is pet/ct able to predict histology in thymic epithelial tumours? a narrative review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818128/
https://www.ncbi.nlm.nih.gov/pubmed/36611390
http://dx.doi.org/10.3390/diagnostics13010098
work_keys_str_mv AT chiappettamarco ispetctabletopredicthistologyinthymicepithelialtumoursanarrativereview
AT mendognipaolo ispetctabletopredicthistologyinthymicepithelialtumoursanarrativereview
AT cattaneomargherita ispetctabletopredicthistologyinthymicepithelialtumoursanarrativereview
AT evangelistajessica ispetctabletopredicthistologyinthymicepithelialtumoursanarrativereview
AT farinapiero ispetctabletopredicthistologyinthymicepithelialtumoursanarrativereview
AT pizzutodanieleantonio ispetctabletopredicthistologyinthymicepithelialtumoursanarrativereview
AT annunziatasalvatore ispetctabletopredicthistologyinthymicepithelialtumoursanarrativereview
AT castelloangelo ispetctabletopredicthistologyinthymicepithelialtumoursanarrativereview
AT congedomariateresa ispetctabletopredicthistologyinthymicepithelialtumoursanarrativereview
AT tabaccodiomira ispetctabletopredicthistologyinthymicepithelialtumoursanarrativereview
AT sassorossicarolina ispetctabletopredicthistologyinthymicepithelialtumoursanarrativereview
AT castellanimassimo ispetctabletopredicthistologyinthymicepithelialtumoursanarrativereview
AT nosottimario ispetctabletopredicthistologyinthymicepithelialtumoursanarrativereview
AT margaritorastefano ispetctabletopredicthistologyinthymicepithelialtumoursanarrativereview
AT lococofilippo ispetctabletopredicthistologyinthymicepithelialtumoursanarrativereview