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Is PET/CT Able to Predict Histology in Thymic Epithelial Tumours? A Narrative Review
The usefulness of 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. We performed a narrative review of pertinent literature in order to clarify the...
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| Published in: | Diagnostics (Basel) 2022-12, Vol.13 (1), p.98 |
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| creator | 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 |
| description | The usefulness of
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.
We performed a narrative review of pertinent literature in order to clarify the role of
FDG PET/CT in the prediction of TET histology and to discuss clinical implications and future perspectives.
There is only little evidence that
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.
PET may play a role in predicting histology in TETs and help physicians in the management of these insidious malignancies. |
| doi_str_mv | 10.3390/diagnostics13010098 |
| format | article |
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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.
We performed a narrative review of pertinent literature in order to clarify the role of
FDG PET/CT in the prediction of TET histology and to discuss clinical implications and future perspectives.
There is only little evidence that
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.
PET may play a role in predicting histology in TETs and help physicians in the management of these insidious malignancies.</description><identifier>ISSN: 2075-4418</identifier><identifier>EISSN: 2075-4418</identifier><identifier>DOI: 10.3390/diagnostics13010098</identifier><identifier>PMID: 36611390</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>18F-FDG PET/CT ; Biopsy ; Cancer ; Classification ; CT imaging ; Diagnosis ; Endocrine gland tumors ; Health aspects ; Histology ; Hyperplasia ; Investigations ; Medical imaging ; Medical prognosis ; Meta-analysis ; Metabolism ; Methods ; PET imaging ; radiometabolic assessment ; Review ; thymic epithelial tumour ; thymoma ; Thymus ; Thymus gland ; Tomography ; Tumors ; WHO</subject><ispartof>Diagnostics (Basel), 2022-12, Vol.13 (1), p.98</ispartof><rights>COPYRIGHT 2022 MDPI AG</rights><rights>2022 by the authors. 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/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 by the authors. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c566t-f4c30bd8bee09563cd1f68fc5005a837bc9792db7f18ef5bffd84fe95fb40633</citedby><cites>FETCH-LOGICAL-c566t-f4c30bd8bee09563cd1f68fc5005a837bc9792db7f18ef5bffd84fe95fb40633</cites><orcidid>0000-0002-9217-3456 ; 0000-0002-9383-5554 ; 0000-0003-1176-9184 ; 0000-0002-4303-6244 ; 0000-0002-0835-1142 ; 0000-0001-5563-0331 ; 0000-0002-3807-6911 ; 0000-0002-5868-3372</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2761097417/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2761097417?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25731,27901,27902,36989,36990,44566,53766,53768,74869</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36611390$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chiappetta, Marco</creatorcontrib><creatorcontrib>Mendogni, Paolo</creatorcontrib><creatorcontrib>Cattaneo, Margherita</creatorcontrib><creatorcontrib>Evangelista, Jessica</creatorcontrib><creatorcontrib>Farina, Piero</creatorcontrib><creatorcontrib>Pizzuto, Daniele Antonio</creatorcontrib><creatorcontrib>Annunziata, Salvatore</creatorcontrib><creatorcontrib>Castello, Angelo</creatorcontrib><creatorcontrib>Congedo, Maria Teresa</creatorcontrib><creatorcontrib>Tabacco, Diomira</creatorcontrib><creatorcontrib>Sassorossi, Carolina</creatorcontrib><creatorcontrib>Castellani, Massimo</creatorcontrib><creatorcontrib>Nosotti, Mario</creatorcontrib><creatorcontrib>Margaritora, Stefano</creatorcontrib><creatorcontrib>Lococo, Filippo</creatorcontrib><title>Is PET/CT Able to Predict Histology in Thymic Epithelial Tumours? A Narrative Review</title><title>Diagnostics (Basel)</title><addtitle>Diagnostics (Basel)</addtitle><description>The usefulness of
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.
We performed a narrative review of pertinent literature in order to clarify the role of
FDG PET/CT in the prediction of TET histology and to discuss clinical implications and future perspectives.
There is only little evidence that
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.
PET may play a role in predicting histology in TETs and help physicians in the management of these insidious malignancies.</description><subject>18F-FDG PET/CT</subject><subject>Biopsy</subject><subject>Cancer</subject><subject>Classification</subject><subject>CT imaging</subject><subject>Diagnosis</subject><subject>Endocrine gland tumors</subject><subject>Health aspects</subject><subject>Histology</subject><subject>Hyperplasia</subject><subject>Investigations</subject><subject>Medical imaging</subject><subject>Medical prognosis</subject><subject>Meta-analysis</subject><subject>Metabolism</subject><subject>Methods</subject><subject>PET imaging</subject><subject>radiometabolic assessment</subject><subject>Review</subject><subject>thymic epithelial tumour</subject><subject>thymoma</subject><subject>Thymus</subject><subject>Thymus gland</subject><subject>Tomography</subject><subject>Tumors</subject><subject>WHO</subject><issn>2075-4418</issn><issn>2075-4418</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkt1rUzEYxg-iuDH3FwgS8MabbsnJ941SSnWFoUPOfchnm3J6UpPTSv97s3XOVZZcJLx5nl_Ik7dp3iN4hbGE1y7q5ZDKGG1BGCIIpXjVnLeQ0wkhSLx-tj9rLktZwzokwqKlb5szzBhCFXPedIsC7ubd9awDU9N7MCZwl72LdgQ3sYypT8sDiAPoVodNtGC-jePK91H3oNtt0i6XL2AKvuuc9Rj3Hvz0--h_v2veBN0Xf_m4XjTd13k3u5nc_vi2mE1vJ5YyNk4CsRgaJ4z3UFKGrUOBiWAphFQLzI2VXLbO8ICED9SE4AQJXtJgCGQYXzSLI9YlvVbbHDc6H1TSUT0UUl4qnWtCvVcEWhRMS3wbPBGSC0uNZM4EyKSTGFXW5yNruzMb76wfxqz7E-jpyRBXapn2SgokUCsq4NMjIKdfO19GtYnF-r7Xg0-7olrOkORcSFKlH_-TrmuSQ03qQQUlJ4j_Uy11fUAcQqr32nuomnJCa0iS0aq6ekFVp_P1v9LgQ6z1EwM-GmxOpWQfnt6IoLpvLfVCa1XXh-fxPHn-NhL-A_hQyvw</recordid><startdate>20221229</startdate><enddate>20221229</enddate><creator>Chiappetta, Marco</creator><creator>Mendogni, Paolo</creator><creator>Cattaneo, Margherita</creator><creator>Evangelista, Jessica</creator><creator>Farina, Piero</creator><creator>Pizzuto, Daniele Antonio</creator><creator>Annunziata, Salvatore</creator><creator>Castello, Angelo</creator><creator>Congedo, Maria Teresa</creator><creator>Tabacco, Diomira</creator><creator>Sassorossi, Carolina</creator><creator>Castellani, Massimo</creator><creator>Nosotti, Mario</creator><creator>Margaritora, Stefano</creator><creator>Lococo, Filippo</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7XB</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-9217-3456</orcidid><orcidid>https://orcid.org/0000-0002-9383-5554</orcidid><orcidid>https://orcid.org/0000-0003-1176-9184</orcidid><orcidid>https://orcid.org/0000-0002-4303-6244</orcidid><orcidid>https://orcid.org/0000-0002-0835-1142</orcidid><orcidid>https://orcid.org/0000-0001-5563-0331</orcidid><orcidid>https://orcid.org/0000-0002-3807-6911</orcidid><orcidid>https://orcid.org/0000-0002-5868-3372</orcidid></search><sort><creationdate>20221229</creationdate><title>Is PET/CT Able to Predict Histology in Thymic Epithelial Tumours? 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A Narrative Review</atitle><jtitle>Diagnostics (Basel)</jtitle><addtitle>Diagnostics (Basel)</addtitle><date>2022-12-29</date><risdate>2022</risdate><volume>13</volume><issue>1</issue><spage>98</spage><pages>98-</pages><issn>2075-4418</issn><eissn>2075-4418</eissn><abstract>The usefulness of
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.
We performed a narrative review of pertinent literature in order to clarify the role of
FDG PET/CT in the prediction of TET histology and to discuss clinical implications and future perspectives.
There is only little evidence that
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.
PET may play a role in predicting histology in TETs and help physicians in the management of these insidious malignancies.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>36611390</pmid><doi>10.3390/diagnostics13010098</doi><orcidid>https://orcid.org/0000-0002-9217-3456</orcidid><orcidid>https://orcid.org/0000-0002-9383-5554</orcidid><orcidid>https://orcid.org/0000-0003-1176-9184</orcidid><orcidid>https://orcid.org/0000-0002-4303-6244</orcidid><orcidid>https://orcid.org/0000-0002-0835-1142</orcidid><orcidid>https://orcid.org/0000-0001-5563-0331</orcidid><orcidid>https://orcid.org/0000-0002-3807-6911</orcidid><orcidid>https://orcid.org/0000-0002-5868-3372</orcidid><oa>free_for_read</oa></addata></record> |
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| source | Publicly Available Content Database; PubMed Central |
| subjects | 18F-FDG PET/CT Biopsy Cancer Classification CT imaging Diagnosis Endocrine gland tumors Health aspects Histology Hyperplasia Investigations Medical imaging Medical prognosis Meta-analysis Metabolism Methods PET imaging radiometabolic assessment Review thymic epithelial tumour thymoma Thymus Thymus gland Tomography Tumors WHO |
| title | Is PET/CT Able to Predict Histology in Thymic Epithelial Tumours? A Narrative Review |
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