Enhanced Design and Analysis of a Minimally Invasive Antenna for Microwave Ablation in Hepatocellular Carcinoma
Bibliographic record
Abstract
Hepatocellular carcinoma's significant mortality rates have driven the exploration of advanced ablation techniques, with microwave ablation emerging as a promising thermal method. However, in-vivo analysis feasibility is limited, necessitating precise computational models. In this work, we designed and analyzed an externally tapped intertwined helical antenna with 3T-Rings for MWA. The antenna was tested on a tissue model using the High-Frequency Structure Simulator (HFSS), and the results showed a reflection coefficient S11 of –24.36dB and a gain of -0.86dB. Temperature-dependent permittivity, electrical conductivity, and thermal conductivity along with phase change effect due to temperature reaching above 100°C are incorporated using finite element method model in COMSOL. To optimize the ablation zone size, a Taguchi L27 orthogonal array is utilized. The simulation results underscore the potential of an intertwined helical antenna for MWA applications, offering insights into enhancing treatment efficacy while minimizing damage to surrounding healthy tissue.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".