| contributor author | Singh, Amritpal | |
| contributor author | Kumar, Neeraj | |
| date accessioned | 2022-05-08T09:23:19Z | |
| date available | 2022-05-08T09:23:19Z | |
| date copyright | 1/18/2022 12:00:00 AM | |
| date issued | 2022 | |
| identifier issn | 0022-1481 | |
| identifier other | ht_144_03_031201.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4285072 | |
| description abstract | In this work, effects of tumor shape on magnetic nanoparticle hyperthermia (MNPH) are investigated and evaluated using four categories (spherical, oblate, prolate, and egg-shape) of tumor models having different morphologies. These tumors have equal volume | |
| description abstract | however, due to the differences in their shapes, they have different surface areas. The shape of tumors is quantified in terms of shape factor (ζ). Simulations for MNPH are done on the physical model constituting tumor tissue enclosed within the healthy tissue. Magnetic hyperthermia is applied (frequency 150 kHz, and magnetic field amplitude 20.5 kA/m) to all tumor models, for 1 h, after injection of magnetic nanoparticles (MNPs) at the respective tumor centroids. The distribution of MNPs after injection is considered Gaussian. The governing model (Pennes' bioheat model) of heat transfer in biological media is solved with the finite volume-immersed boundary (FV-IB) method to simulate MNPH. Therapeutic effects are calculated using the Arrhenius tissue damage model, cumulative equivalent minutes at 43 °C (CEM 43), and heterogeneity in temperature profiles of the tumors. Results show that the therapeutic effects of MNPH depend significantly on the shape of a tumor. Tumors with higher shape factors receive less therapeutic effects in comparison to the tumors having lower shape factors. An empirical thermal damage model is also developed to assess the MNPH efficacy in real complex-shaped tumors. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Parameterizing the Effects of Tumor Shape in Magnetic Nanoparticle Thermotherapy Through a Computational Approach | |
| type | Journal Paper | |
| journal volume | 144 | |
| journal issue | 3 | |
| journal title | Journal of Heat Transfer | |
| identifier doi | 10.1115/1.4052967 | |
| journal fristpage | 31201-1 | |
| journal lastpage | 31201-12 | |
| page | 12 | |
| tree | Journal of Heat Transfer:;2022:;volume( 144 ):;issue: 003 | |
| contenttype | Fulltext | |