Imaging features associated with H3 K27-altered and H3 G34-mutant gliomas : a narrative systematic review
© 2022. The Author(s)..
BACKGROUND: Advances in molecular diagnostics accomplished the discovery of two malignant glioma entities harboring alterations in the H3 histone: diffuse midline glioma, H3 K27-altered and diffuse hemispheric glioma, H3 G34-mutant. Radiogenomics research, which aims to correlate tumor imaging features with genotypes, has not comprehensively examined histone-altered gliomas (HAG). The aim of this research was to synthesize the current published data on imaging features associated with HAG.
METHODS: A systematic search was performed in March 2022 using PubMed and the Cochrane Library, identifying studies on the imaging features associated with H3 K27-altered and/or H3 G34-mutant gliomas.
RESULTS: Forty-seven studies fulfilled the inclusion criteria, the majority on H3 K27-altered gliomas. Just under half (21/47) were case reports or short series, the remainder being diagnostic accuracy studies. Despite heterogeneous methodology, some themes emerged. In particular, enhancement of H3 K27M-altered gliomas is variable and can be less than expected given their highly malignant behavior. Low apparent diffusion coefficient values have been suggested as a biomarker of H3 K27-alteration, but high values do not exclude this genotype. Promising correlations between high relative cerebral blood volume values and H3 K27-alteration require further validation. Limited data on H3 G34-mutant gliomas suggest some morphologic overlap with 1p/19q-codeleted oligodendrogliomas.
CONCLUSIONS: The existing data are limited, especially for H3 G34-mutant gliomas and artificial intelligence techniques. Current evidence indicates that imaging-based predictions of HAG are insufficient to replace histological assessment. In particular, H3 K27-altered gliomas should be considered when occurring in typical midline locations irrespective of enhancement characteristics.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2022 |
|---|---|
| Erschienen: |
2022 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:22 |
|---|---|
| Enthalten in: |
Cancer imaging : the official publication of the International Cancer Imaging Society - 22(2022), 1 vom: 17. Nov., Seite 63 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Lasocki, Arian [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
H3 G34-mutant glioma |
|---|
| Anmerkungen: |
Date Completed 22.11.2022 Date Revised 22.11.2022 published: Electronic Citation Status MEDLINE |
|---|
| doi: |
10.1186/s40644-022-00500-3 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM349104247 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM349104247 | ||
| 003 | DE-627 | ||
| 005 | 20231226041828.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231226s2022 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1186/s40644-022-00500-3 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1163.xml |
| 035 | |a (DE-627)NLM349104247 | ||
| 035 | |a (NLM)36397143 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Lasocki, Arian |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Imaging features associated with H3 K27-altered and H3 G34-mutant gliomas |b a narrative systematic review |
| 264 | 1 | |c 2022 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 22.11.2022 | ||
| 500 | |a Date Revised 22.11.2022 | ||
| 500 | |a published: Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2022. The Author(s). | ||
| 520 | |a BACKGROUND: Advances in molecular diagnostics accomplished the discovery of two malignant glioma entities harboring alterations in the H3 histone: diffuse midline glioma, H3 K27-altered and diffuse hemispheric glioma, H3 G34-mutant. Radiogenomics research, which aims to correlate tumor imaging features with genotypes, has not comprehensively examined histone-altered gliomas (HAG). The aim of this research was to synthesize the current published data on imaging features associated with HAG | ||
| 520 | |a METHODS: A systematic search was performed in March 2022 using PubMed and the Cochrane Library, identifying studies on the imaging features associated with H3 K27-altered and/or H3 G34-mutant gliomas | ||
| 520 | |a RESULTS: Forty-seven studies fulfilled the inclusion criteria, the majority on H3 K27-altered gliomas. Just under half (21/47) were case reports or short series, the remainder being diagnostic accuracy studies. Despite heterogeneous methodology, some themes emerged. In particular, enhancement of H3 K27M-altered gliomas is variable and can be less than expected given their highly malignant behavior. Low apparent diffusion coefficient values have been suggested as a biomarker of H3 K27-alteration, but high values do not exclude this genotype. Promising correlations between high relative cerebral blood volume values and H3 K27-alteration require further validation. Limited data on H3 G34-mutant gliomas suggest some morphologic overlap with 1p/19q-codeleted oligodendrogliomas | ||
| 520 | |a CONCLUSIONS: The existing data are limited, especially for H3 G34-mutant gliomas and artificial intelligence techniques. Current evidence indicates that imaging-based predictions of HAG are insufficient to replace histological assessment. In particular, H3 K27-altered gliomas should be considered when occurring in typical midline locations irrespective of enhancement characteristics | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Review | |
| 650 | 4 | |a Systematic Review | |
| 650 | 4 | |a H3 G34-mutant glioma | |
| 650 | 4 | |a H3 K27M-altered glioma | |
| 650 | 4 | |a Magnetic resonance imaging | |
| 650 | 4 | |a Radiogenomics | |
| 650 | 7 | |a Histones |2 NLM | |
| 700 | 1 | |a Abdalla, Gehad |e verfasserin |4 aut | |
| 700 | 1 | |a Chow, Geoffrey |e verfasserin |4 aut | |
| 700 | 1 | |a Thust, Stefanie C |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Cancer imaging : the official publication of the International Cancer Imaging Society |d 2000 |g 22(2022), 1 vom: 17. Nov., Seite 63 |w (DE-627)NLM15769819X |x 1470-7330 |7 nnns |
| 773 | 1 | 8 | |g volume:22 |g year:2022 |g number:1 |g day:17 |g month:11 |g pages:63 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1186/s40644-022-00500-3 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 22 |j 2022 |e 1 |b 17 |c 11 |h 63 | ||