Advanced Diagnosis of Glioma by Using Emerging Magnetic Resonance Sequences
Glioma, the most common primary brain tumor in adults, can be difficult to discern radiologically from other brain lesions, which affects surgical planning and follow-up treatment. Recent advances in MRI demonstrate that preoperative diagnosis of glioma has stepped into molecular and algorithm-assis...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2021-08-01
|
| Series: | Frontiers in Oncology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2021.694498/full |
| _version_ | 1819130535773995008 |
|---|---|
| author | Ruo-Lun Wei Xin-Ting Wei |
| author_facet | Ruo-Lun Wei Xin-Ting Wei |
| author_sort | Ruo-Lun Wei |
| collection | DOAJ |
| description | Glioma, the most common primary brain tumor in adults, can be difficult to discern radiologically from other brain lesions, which affects surgical planning and follow-up treatment. Recent advances in MRI demonstrate that preoperative diagnosis of glioma has stepped into molecular and algorithm-assisted levels. Specifically, the histology-based glioma classification is composed of multiple different molecular subtypes with distinct behavior, prognosis, and response to therapy, and now each aspect can be assessed by corresponding emerging MR sequences like amide proton transfer-weighted MRI, inflow-based vascular-space-occupancy MRI, and radiomics algorithm. As a result of this novel progress, the clinical practice of glioma has been updated. Accurate diagnosis of glioma at the molecular level can be achieved ahead of the operation to formulate a thorough plan including surgery radical level, shortened length of stay, flexible follow-up plan, timely therapy response feedback, and eventually benefit patients individually. |
| first_indexed | 2024-12-22T09:01:10Z |
| format | Article |
| id | doaj.art-e2163db2a20a4aaaac066dd422dbc393 |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-12-22T09:01:10Z |
| publishDate | 2021-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-e2163db2a20a4aaaac066dd422dbc3932022-12-21T18:31:43ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2021-08-011110.3389/fonc.2021.694498694498Advanced Diagnosis of Glioma by Using Emerging Magnetic Resonance SequencesRuo-Lun WeiXin-Ting WeiGlioma, the most common primary brain tumor in adults, can be difficult to discern radiologically from other brain lesions, which affects surgical planning and follow-up treatment. Recent advances in MRI demonstrate that preoperative diagnosis of glioma has stepped into molecular and algorithm-assisted levels. Specifically, the histology-based glioma classification is composed of multiple different molecular subtypes with distinct behavior, prognosis, and response to therapy, and now each aspect can be assessed by corresponding emerging MR sequences like amide proton transfer-weighted MRI, inflow-based vascular-space-occupancy MRI, and radiomics algorithm. As a result of this novel progress, the clinical practice of glioma has been updated. Accurate diagnosis of glioma at the molecular level can be achieved ahead of the operation to formulate a thorough plan including surgery radical level, shortened length of stay, flexible follow-up plan, timely therapy response feedback, and eventually benefit patients individually.https://www.frontiersin.org/articles/10.3389/fonc.2021.694498/fullgliomaradiomicspreoperative gradingdifferential diagnosis7-T magnetic resonance imagingresponse assessment in neuro-oncology (RANO) |
| spellingShingle | Ruo-Lun Wei Xin-Ting Wei Advanced Diagnosis of Glioma by Using Emerging Magnetic Resonance Sequences Frontiers in Oncology glioma radiomics preoperative grading differential diagnosis 7-T magnetic resonance imaging response assessment in neuro-oncology (RANO) |
| title | Advanced Diagnosis of Glioma by Using Emerging Magnetic Resonance Sequences |
| title_full | Advanced Diagnosis of Glioma by Using Emerging Magnetic Resonance Sequences |
| title_fullStr | Advanced Diagnosis of Glioma by Using Emerging Magnetic Resonance Sequences |
| title_full_unstemmed | Advanced Diagnosis of Glioma by Using Emerging Magnetic Resonance Sequences |
| title_short | Advanced Diagnosis of Glioma by Using Emerging Magnetic Resonance Sequences |
| title_sort | advanced diagnosis of glioma by using emerging magnetic resonance sequences |
| topic | glioma radiomics preoperative grading differential diagnosis 7-T magnetic resonance imaging response assessment in neuro-oncology (RANO) |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2021.694498/full |
| work_keys_str_mv | AT ruolunwei advanceddiagnosisofgliomabyusingemergingmagneticresonancesequences AT xintingwei advanceddiagnosisofgliomabyusingemergingmagneticresonancesequences |