| Literature DB >> 34868945 |
Thomas Noh1, Parikshit Juvekar2, Raymond Huang3, Gunnar Lee1, Christian T Ogasawara1, Alexandra J Golby2.
Abstract
PURPOSE: The safety and effectiveness of laser interstitial thermal therapy (LITT) relies critically on the ability to continuously monitor the ablation based on real-time temperature mapping using magnetic resonance thermometry (MRT). This technique uses gradient recalled echo (GRE) sequences that are especially sensitive to susceptibility effects from air and blood. LITT for brain tumors is often preceded by a biopsy and is anecdotally associated with artifact during ablation. Thus, we reviewed our experience and describe the qualitative signal dropout that can interfere with ablation.Entities:
Keywords: LITT; MRT; artifact; biopsy; brain tumors; laser interstitial thermal therapy; magnetic resonance thermometry; signal dropout
Year: 2021 PMID: 34868945 PMCID: PMC8637457 DOI: 10.3389/fonc.2021.746416
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 6.244
Figure 1(A) Panel displaying a typical inline view on a contrast-enhanced T1-weighted MRI that is perpendicular to the laser catheter. Yellow TDT lines indicate the areas where tumor (pink) has reached 43°C as measured by MRT. (B) Patient 1. Intraoperative ablation showing central zones of signal “dropout” (gray voxels) on MRT and interference with TDT lines at the tumor (pink) borders. (C) (left) Unenhanced T1-weighted MRI, (middle) Contrast-enhanced T1-weighted MRI, and (right) T2-weighted MR image showing mixed hyper- and hypo-intensities in biopsy cavity. (D) Patient 2. Intraoperative panels showing three sequential inline cuts along the laser catheter with zones of signal dropout and interference with MRT at the tumor (pink) borders. (E) Post-operative coronal CT showing air and blood within the ablated tumor.
Patients who underwent LITT for brain tumor ablation, with or without preceding biopsy.
| Patient | Age/Sex | Pathology | Blood/air on post-operative scan | # biopsies | Artifact present |
|---|---|---|---|---|---|
| 1 | 30s/M | Recurrent GBM | MRI, yes | 3 | Yes |
| 2 | 60s/F | Recurrent GBM | CT, yes | 6 | Yes |
| 3 | 50s/M | Recurrent GBM | MRI, yes | 4 | Yes |
| 4 | 40s/M | GBM | MRI, yes | 4 | Yes |
| 5 | 60s/M | Small Cell Lung Cancer | MRI, yes | 4 | Yes |
| 6 | 60s/M | Recurrent Metastases | MRI, yes, cystic | 1 | Yes |
| 7 | 50s/M | Recurrent GBM | MRI, no | No | |
| 8 | 50s/M | Recurrent NSCLC metastasis vs necrosis | CT, no | No | |
| 9 | 60s,F | Breast metastases | CT, no | No | |
| 10 | 50s/F | Recurrent GBM | CT, no | No | |
| 11 | 20s/M | Recurrent Grade III astrocytoma | MRI, no | No | |
| 12 | 70s/F | Recurrent GBM | MRI, yes, complicated by IVH | No | |
| 13 | 60s/M | Multiple recurrent metastases | CT, no | No | |
| 14 | 60s/F | Recurrent Small cell metastasis | CT, no | No | |
| 15 | 40s/F | Recurrent GBM | CT, no | No | |
| 16 | 50s/F | Recurrent metastases | MRI, no | No | |
| 17 | 50s/F | Breast metastases | MRI, no | No |