Numerical study on the effects of blood perfusion and tumor metabolism on tumor temperature for targeted hyperthermia considering a realistic geometrical model of head layers using the finite element method
The main aim of the present work is to determine the temperature distribution in the normal and cancerous tissues to achieve the desired condition of hyperthermia. Hyperthermia can be defined as the mild elevation of the temperature to 40–46 °C, which induces the cancer cell death and enhances the e...
Uloženo v:
| Vydáno v: | SN applied sciences Ročník 3; číslo 4; s. 462 |
|---|---|
| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Cham
Springer International Publishing
01.04.2021
Springer Nature B.V |
| Témata: | |
| ISSN: | 2523-3963, 2523-3971 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | The main aim of the present work is to determine the temperature distribution in the normal and cancerous tissues to achieve the desired condition of hyperthermia. Hyperthermia can be defined as the mild elevation of the temperature to 40–46 °C, which induces the cancer cell death and enhances the effects of the radiotherapy and chemotherapy. In the present research, the realistic geometry of the human head layers and the tumor are modelled, geometrically, and then simulated similar to the real samples of MRI images with the size of 5990 mm
3
. The temperature distribution in the tumor and healthy tissues was obtained based on the solution of Penne’s bio-heat transfer equation utilizing the Finite Element scheme. Employing the accurate boundary conditions for the thermal simulation of the problem, two main layers of the human brain, namely, white matter (WM) and gray matter (GM), as well as the cerebrospinal fluid (CSF) and the skull, are considered in the thermal analysis. In order to examine the hyperthermia conditions, the effects of the different blood perfusion rates and tumor metabolism on the tumor temperature are analyzed. The results showed that by reducing the blood perfusion rate from 0.0016 to 0.0005(ml/(ml.s)), the temperature increased by nearly 0.2 ℃ at the center of the tumor implying that the variations of the blood perfusion rate in the tumor have not a significant influence on its temperature. Moreover, it was found that when the tumor metabolism increases five times (equal to 125 × 10
3
W/m
3
) than its normal value (equal to 25,000 W/m
3
), the temperature reaches to the range needed for ablation of the brain tumor (40–46 ℃). The results also indicated that the manipulation of the cancer tissues metabolic rate via thermal simulation could be efficiently employed to estimate the amount of heat needed for the thermal ablation of the tumor. |
|---|---|
| AbstractList | The main aim of the present work is to determine the temperature distribution in the normal and cancerous tissues to achieve the desired condition of hyperthermia. Hyperthermia can be defined as the mild elevation of the temperature to 40–46 °C, which induces the cancer cell death and enhances the effects of the radiotherapy and chemotherapy. In the present research, the realistic geometry of the human head layers and the tumor are modelled, geometrically, and then simulated similar to the real samples of MRI images with the size of 5990 mm
3
. The temperature distribution in the tumor and healthy tissues was obtained based on the solution of Penne’s bio-heat transfer equation utilizing the Finite Element scheme. Employing the accurate boundary conditions for the thermal simulation of the problem, two main layers of the human brain, namely, white matter (WM) and gray matter (GM), as well as the cerebrospinal fluid (CSF) and the skull, are considered in the thermal analysis. In order to examine the hyperthermia conditions, the effects of the different blood perfusion rates and tumor metabolism on the tumor temperature are analyzed. The results showed that by reducing the blood perfusion rate from 0.0016 to 0.0005(ml/(ml.s)), the temperature increased by nearly 0.2 ℃ at the center of the tumor implying that the variations of the blood perfusion rate in the tumor have not a significant influence on its temperature. Moreover, it was found that when the tumor metabolism increases five times (equal to 125 × 10
3
W/m
3
) than its normal value (equal to 25,000 W/m
3
), the temperature reaches to the range needed for ablation of the brain tumor (40–46 ℃). The results also indicated that the manipulation of the cancer tissues metabolic rate via thermal simulation could be efficiently employed to estimate the amount of heat needed for the thermal ablation of the tumor. The main aim of the present work is to determine the temperature distribution in the normal and cancerous tissues to achieve the desired condition of hyperthermia. Hyperthermia can be defined as the mild elevation of the temperature to 40–46 °C, which induces the cancer cell death and enhances the effects of the radiotherapy and chemotherapy. In the present research, the realistic geometry of the human head layers and the tumor are modelled, geometrically, and then simulated similar to the real samples of MRI images with the size of 5990 mm3. The temperature distribution in the tumor and healthy tissues was obtained based on the solution of Penne’s bio-heat transfer equation utilizing the Finite Element scheme. Employing the accurate boundary conditions for the thermal simulation of the problem, two main layers of the human brain, namely, white matter (WM) and gray matter (GM), as well as the cerebrospinal fluid (CSF) and the skull, are considered in the thermal analysis. In order to examine the hyperthermia conditions, the effects of the different blood perfusion rates and tumor metabolism on the tumor temperature are analyzed. The results showed that by reducing the blood perfusion rate from 0.0016 to 0.0005(ml/(ml.s)), the temperature increased by nearly 0.2 ℃ at the center of the tumor implying that the variations of the blood perfusion rate in the tumor have not a significant influence on its temperature. Moreover, it was found that when the tumor metabolism increases five times (equal to 125 × 103 W/m3) than its normal value (equal to 25,000 W/m3), the temperature reaches to the range needed for ablation of the brain tumor (40–46 ℃). The results also indicated that the manipulation of the cancer tissues metabolic rate via thermal simulation could be efficiently employed to estimate the amount of heat needed for the thermal ablation of the tumor. |
| ArticleNumber | 462 |
| Author | Habibi, Mohammad Reza Akbari Lalimi, Hossein Mazidi Sharfabadi, Mohammad Kazemi Alamouti, Adeleh |
| Author_xml | – sequence: 1 givenname: Adeleh surname: Kazemi Alamouti fullname: Kazemi Alamouti, Adeleh organization: Mechanical Engineering Department, Islamic Azad University – sequence: 2 givenname: Mohammad Reza surname: Habibi fullname: Habibi, Mohammad Reza organization: Development and Optimization of Energy Technologies Division, Research Institute of Petroleum Industry (RIPI) – sequence: 3 givenname: Mohammad surname: Mazidi Sharfabadi fullname: Mazidi Sharfabadi, Mohammad email: mazidim@ripi.ir organization: Development and Optimization of Energy Technologies Division, Research Institute of Petroleum Industry (RIPI) – sequence: 4 givenname: Hossein surname: Akbari Lalimi fullname: Akbari Lalimi, Hossein organization: Department of Medical Physics, Faculty of Medicine, Mashhad University of Medical Sciences |
| BookMark | eNp9kc1u3CAUha0olZKmeYGukLp2y98YvIyi_klRs0nX6BouM0S2mQBezEv2mYrHVSt1ETbA5X7nHnHeNpdznLFp3jP6kVGqPmXJ5Y63lLOWSilVyy6aa77johW9Ypd_z524am5zfqaUctULqcV18-vHMmEKFkaSy-JOJM6kHJCg92hLJtGTYYzRkSMmv-RQn2F2pCxTTGTCAkMcQ57O2LlWcKqtUJaExK93SHss6MjhVOtVOk0BiI1zDq4OnvcESEKoIiVYssdYRTc_U3Q4rgYOCI6McMKUSbVQkdWhD3Mo1eiIE85l9XKI7l3zxsOY8fbPftP8_PL56f5b-_D49fv93UNrRSdKO3QotffMdSCkkwNIrZx2nfDAOCJqL60aZO-gc4zTntKd2jEldc8GZy2Im-bDpntM8WXBXMxzXNJcRxqutJZc11W7-NZlU8w5oTfHFCZIJ8OoWaMzW3SmRmfO0RlWIf0fZEOBUn--JAjj66jY0HxcfxbTP1evUL8ByWS2Jw |
| CitedBy_id | crossref_primary_10_1016_j_xphs_2025_103777 crossref_primary_10_1016_j_hsr_2025_100212 crossref_primary_10_1016_j_jrras_2025_101916 crossref_primary_10_1016_j_jddst_2024_106186 crossref_primary_10_1116_6_0003814 crossref_primary_10_1016_j_heliyon_2024_e34650 crossref_primary_10_3390_biology10121259 crossref_primary_10_1007_s42493_024_00116_8 crossref_primary_10_1007_s10527_023_10314_7 crossref_primary_10_1063_5_0186437 crossref_primary_10_1109_TIM_2023_3242011 crossref_primary_10_1039_D3NH00305A |
| Cites_doi | 10.1155/2013/781603 10.1115/1.3138502 10.1155/2019/1758948 10.3389/fnins.2014.00307 10.1088/0031-9155/53/3/N01 10.1016/j.jmmm.2019.165458 10.2529/PIERS091218133748 10.1111/j.1749-6632.1980.tb50742.x 10.1016/j.jtherbio.2017.10.014 10.1016/j.ijthermalsci.2015.09.014 10.1152/jappl.1948.1.2.93 10.1114/1.1554924 10.1016/j.jtherbio.2019.07.023 10.1140/epjp/i2015-15089-1 10.1016/j.neuroimage.2013.04.090 10.1016/j.procs.2018.01.130 10.1016/j.ijheatmasstransfer.2016.08.094 10.1016/j.icheatmasstransfer.2008.11.006 10.1115/1.3138533 10.5772/22616 10.1115/1.3138585 10.4225/03/5b2c64f668b73 10.9790/3021-03614349 |
| ContentType | Journal Article |
| Copyright | The Author(s) 2021 The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| Copyright_xml | – notice: The Author(s) 2021 – notice: The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| DBID | C6C AAYXX CITATION 3V. 7XB 88I 8FE 8FG 8FK ABJCF ABUWG AEUYN AFKRA ATCPS AZQEC BENPR BGLVJ BHPHI BKSAR CCPQU D1I DWQXO GNUQQ HCIFZ KB. L6V M2P M7S PATMY PCBAR PDBOC PHGZM PHGZT PIMPY PKEHL PQEST PQGLB PQQKQ PQUKI PTHSS PYCSY Q9U |
| DOI | 10.1007/s42452-021-04447-1 |
| DatabaseName | Springer Nature OA/Free Journals CrossRef ProQuest Central (Corporate) ProQuest Central (purchase pre-March 2016) Science Database (Alumni Edition) ProQuest SciTech Collection ProQuest Technology Collection ProQuest Central (Alumni) (purchase pre-March 2016) Materials Science & Engineering Collection ProQuest Central (Alumni Edition) ProQuest One Sustainability ProQuest Central UK/Ireland Agricultural & Environmental Science Collection ProQuest Central Essentials ProQuest Central Technology Collection Natural Science Collection Earth, Atmospheric & Aquatic Science Collection ProQuest One Community College ProQuest Materials Science Collection ProQuest Central Korea ProQuest Central Student SciTech Premium Collection Materials Science Database ProQuest Engineering Collection Science Database Engineering Database Environmental Science Database Earth, Atmospheric & Aquatic Science Database Materials Science Collection ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition Engineering Collection Environmental Science Collection ProQuest Central Basic |
| DatabaseTitle | CrossRef Publicly Available Content Database ProQuest Central Student Technology Collection ProQuest One Academic Middle East (New) ProQuest Central Essentials Materials Science Collection ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest Central Earth, Atmospheric & Aquatic Science Collection ProQuest One Applied & Life Sciences ProQuest One Sustainability ProQuest Engineering Collection Natural Science Collection ProQuest Central Korea Agricultural & Environmental Science Collection Materials Science Database ProQuest Central (New) Engineering Collection ProQuest Materials Science Collection Engineering Database ProQuest Science Journals (Alumni Edition) ProQuest Central Basic ProQuest Science Journals ProQuest One Academic Eastern Edition Earth, Atmospheric & Aquatic Science Database ProQuest Technology Collection ProQuest SciTech Collection Environmental Science Collection ProQuest One Academic UKI Edition Materials Science & Engineering Collection Environmental Science Database ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) |
| DatabaseTitleList | Publicly Available Content Database CrossRef |
| Database_xml | – sequence: 1 dbid: KB. name: Materials Science Database url: http://search.proquest.com/materialsscijournals sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 2523-3971 |
| ExternalDocumentID | 10_1007_s42452_021_04447_1 |
| GroupedDBID | -EM 0R~ 88I AAHNG AAKKN ABDZT ABECU ABEEZ ABFTV ABHQN ABJCF ABKCH ABMQK ABTEG ABTMW ABUWG ABXPI ACACY ACMLO ACOKC ACULB ADKNI ADMLS ADURQ ADYFF AEJRE AEUYN AFGXO AFKRA AFQWF AGDGC AGJBK AILAN AITGF AJZVZ ALMA_UNASSIGNED_HOLDINGS AMKLP ATCPS AXYYD AZQEC BAPOH BENPR BGLVJ BGNMA BHPHI BKSAR C24 C6C CCPQU DWQXO EBLON EBS EJD FINBP FNLPD FSGXE GNUQQ GNWQR GROUPED_DOAJ H13 HCIFZ J-C KB. KOV M2P M4Y M7S NQJWS NU0 OK1 PATMY PCBAR PDBOC PIMPY PTHSS PYCSY RSV SOJ STPWE TSG UOJIU UTJUX VEKWB VFIZW ZMTXR AAYXX ACSTC AFFHD CITATION PHGZM PHGZT PQGLB 3V. 7XB 8FE 8FG 8FK D1I L6V PKEHL PQEST PQQKQ PQUKI Q9U |
| ID | FETCH-LOGICAL-c363t-b6e48ff1d6a34d4ba487d8d63fa12eee8f4c7b49da6d120900575174891bdcca3 |
| IEDL.DBID | C24 |
| ISICitedReferencesCount | 10 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000629769400004&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 2523-3963 |
| IngestDate | Wed Oct 08 14:21:23 EDT 2025 Tue Nov 18 21:07:11 EST 2025 Sat Nov 29 06:34:28 EST 2025 Fri Feb 21 02:49:09 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 4 |
| Keywords | Finite element method Temperature distribution Tumor Metabolism Realistic brain model Hyperthermia |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c363t-b6e48ff1d6a34d4ba487d8d63fa12eee8f4c7b49da6d120900575174891bdcca3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| OpenAccessLink | https://link.springer.com/10.1007/s42452-021-04447-1 |
| PQID | 2788428888 |
| PQPubID | 5758472 |
| ParticipantIDs | proquest_journals_2788428888 crossref_primary_10_1007_s42452_021_04447_1 crossref_citationtrail_10_1007_s42452_021_04447_1 springer_journals_10_1007_s42452_021_04447_1 |
| PublicationCentury | 2000 |
| PublicationDate | 20210400 |
| PublicationDateYYYYMMDD | 2021-04-01 |
| PublicationDate_xml | – month: 4 year: 2021 text: 20210400 |
| PublicationDecade | 2020 |
| PublicationPlace | Cham |
| PublicationPlace_xml | – name: Cham – name: London |
| PublicationTitle | SN applied sciences |
| PublicationTitleAbbrev | SN Appl. Sci |
| PublicationYear | 2021 |
| Publisher | Springer International Publishing Springer Nature B.V |
| Publisher_xml | – name: Springer International Publishing – name: Springer Nature B.V |
| References | Bousselham, Bouattane, Youssfi, Raihani (CR17) 2019 Jayasundar, Singh (CR8) 2002; 50 CR16 Yue, Wang, Wang (CR23) 2013 CR15 Shirkavand, Nazif (CR18) 2019; 84 Lin, Liu (CR24) 2009; 36 Strangman, Zhang, Li (CR26) 2014; 85 Bousselham, Bouattane, Youssfi, Raihani (CR11) 2018; 71 Kengne, Lakhssassi (CR14) 2015; 130 Rast, Harrison (CR27) 2010; 6 CR6 CR5 Wang, Wang, Normoyle, Jackson, Spitler, Sharrock, Miller, Best, Llano, Rose (CR1) 2014; 8 CR7 Tang, Flesch, Jin (CR10) 2019; 490 Majchrzak, Turchan (CR13) 2017; 20 Bousselham, Bouattane, Youssfi, Raihani (CR9) 2018; 127 Zhang (CR21) 2008; 53 CR22 CR20 Diao, Zhu, Wang (CR25) 2003; 31 Pennes (CR2) 1948; 1 Chen, Holmes (CR3) 1980; 335 Stanković, Jovanović, Krstić, Marković, Cvetković (CR19) 2017; 104 Jiji, Weinbaum, Lemons (CR4) 1984 Ma, Liu, Li (CR12) 2016; 100 W Ma (4447_CR12) 2016; 100 A Shirkavand (4447_CR18) 2019; 84 A Bousselham (4447_CR9) 2018; 127 L Rast (4447_CR27) 2010; 6 4447_CR16 HH Pennes (4447_CR2) 1948; 1 E Kengne (4447_CR14) 2015; 130 MM Chen (4447_CR3) 1980; 335 4447_CR15 H Wang (4447_CR1) 2014; 8 4447_CR5 4447_CR6 4447_CR7 LM Jiji (4447_CR4) 1984 A Bousselham (4447_CR17) 2019 A Bousselham (4447_CR11) 2018; 71 GE Strangman (4447_CR26) 2014; 85 Y-D Tang (4447_CR10) 2019; 490 R Jayasundar (4447_CR8) 2002; 50 H Zhang (4447_CR21) 2008; 53 C Diao (4447_CR25) 2003; 31 E Majchrzak (4447_CR13) 2017; 20 C-T Lin (4447_CR24) 2009; 36 4447_CR20 4447_CR22 V Stanković (4447_CR19) 2017; 104 X Yue (4447_CR23) 2013 |
| References_xml | – ident: CR22 – year: 2013 ident: CR23 article-title: Tissue modeling and analyzing with finite element method: a review for cranium brain imaging publication-title: Int J Biomed Imaging doi: 10.1155/2013/781603 – year: 1984 ident: CR4 article-title: Theory and experiment for the effect of vascular microstructure on surface tissue heat transfer—part II: model formulation and solution publication-title: J Biomech Eng doi: 10.1115/1.3138502 – year: 2019 ident: CR17 article-title: Towards reinforced brain tumor segmentation on MRI images based on temperature changes on pathologic area publication-title: Int J Biomed Imaging doi: 10.1155/2019/1758948 – volume: 8 start-page: 307 year: 2014 ident: CR1 article-title: Brain temperature and its fundamental properties: a review for clinical neuroscientists publication-title: Front Neurosci doi: 10.3389/fnins.2014.00307 – ident: CR16 – volume: 53 start-page: N15 year: 2008 ident: CR21 article-title: Lattice Boltzmann method for solving the bioheat equation publication-title: Phys Med Biol doi: 10.1088/0031-9155/53/3/N01 – volume: 50 start-page: 436 year: 2002 end-page: 439 ident: CR8 article-title: In vivo temperature measurements in brain tumors using proton MR spectroscopy publication-title: Neurol India – volume: 490 start-page: 165458 year: 2019 ident: CR10 article-title: Numerical method to evaluate the survival rate of malignant cells considering the distribution of treatment temperature field for magnetic hyperthermia publication-title: J Magn Magn Mater doi: 10.1016/j.jmmm.2019.165458 – ident: CR6 – volume: 6 start-page: 690 year: 2010 end-page: 694 ident: CR27 article-title: Computational modeling of electromagnetically induced heating of magnetic nanoparticle materials for hyperthermic cancer treatment publication-title: PIERS Online doi: 10.2529/PIERS091218133748 – volume: 335 start-page: 137 year: 1980 end-page: 150 ident: CR3 article-title: Microvascular contributions in tissue heat transfer publication-title: Ann N Y Acad Sci doi: 10.1111/j.1749-6632.1980.tb50742.x – volume: 71 start-page: 52 year: 2018 end-page: 61 ident: CR11 article-title: 3D brain tumor localization and parameter estimation using thermographic approach on GPU publication-title: J Therm Biol doi: 10.1016/j.jtherbio.2017.10.014 – volume: 100 start-page: 66 year: 2016 end-page: 74 ident: CR12 article-title: Analytical heat transfer model for targeted brain hypothermia publication-title: Int J Therm Sci doi: 10.1016/j.ijthermalsci.2015.09.014 – volume: 1 start-page: 93 year: 1948 end-page: 122 ident: CR2 article-title: Analysis of tissue and arterial blood temperatures in the resting human forearm publication-title: J Appl Physiol doi: 10.1152/jappl.1948.1.2.93 – volume: 31 start-page: 346 year: 2003 end-page: 353 ident: CR25 article-title: Cooling and rewarming for brain ischemia or injury: theoretical analysis publication-title: Ann Biomed Eng doi: 10.1114/1.1554924 – ident: CR15 – volume: 84 start-page: 339 year: 2019 end-page: 350 ident: CR18 article-title: Numerical study on the effects of blood perfusion and body metabolism on the temperature profile of human forearm in hyperthermia conditions publication-title: J Therm Biol doi: 10.1016/j.jtherbio.2019.07.023 – volume: 20 start-page: 123 year: 2017 end-page: 131 ident: CR13 article-title: Numerical analysis of tissue heating using the bioheat transfer porous model publication-title: Comput Assisted Methods Eng Sci – volume: 130 start-page: 1 year: 2015 end-page: 18 ident: CR14 article-title: Analytico-numerical study of bio-heat transfer problems with temperature-dependent perfusion publication-title: Eur Phys J Plus doi: 10.1140/epjp/i2015-15089-1 – volume: 85 start-page: 136 year: 2014 end-page: 149 ident: CR26 article-title: Scalp and skull influence on near infrared photon propagation in the Colin27 brain template publication-title: Neuroimage doi: 10.1016/j.neuroimage.2013.04.090 – volume: 127 start-page: 336 year: 2018 end-page: 343 ident: CR9 article-title: Brain tumor temperature effect extraction from MRI imaging using bioheat equation publication-title: Procedia Comput Sci doi: 10.1016/j.procs.2018.01.130 – ident: CR5 – ident: CR7 – volume: 104 start-page: 559 year: 2017 end-page: 565 ident: CR19 article-title: Temperature distribution and specific absorption rate inside a child’s head publication-title: Int J Heat Mass Transf doi: 10.1016/j.ijheatmasstransfer.2016.08.094 – volume: 36 start-page: 241 year: 2009 end-page: 244 ident: CR24 article-title: Estimation for the heating effect of magnetic nanoparticles in perfused tissues publication-title: Int Commun Heat Mass Transf doi: 10.1016/j.icheatmasstransfer.2008.11.006 – ident: CR20 – volume: 71 start-page: 52 year: 2018 ident: 4447_CR11 publication-title: J Therm Biol doi: 10.1016/j.jtherbio.2017.10.014 – ident: 4447_CR5 doi: 10.1115/1.3138533 – year: 1984 ident: 4447_CR4 publication-title: J Biomech Eng doi: 10.1115/1.3138502 – volume: 50 start-page: 436 year: 2002 ident: 4447_CR8 publication-title: Neurol India – volume: 20 start-page: 123 year: 2017 ident: 4447_CR13 publication-title: Comput Assisted Methods Eng Sci – volume: 130 start-page: 1 year: 2015 ident: 4447_CR14 publication-title: Eur Phys J Plus doi: 10.1140/epjp/i2015-15089-1 – volume: 53 start-page: N15 year: 2008 ident: 4447_CR21 publication-title: Phys Med Biol doi: 10.1088/0031-9155/53/3/N01 – volume: 84 start-page: 339 year: 2019 ident: 4447_CR18 publication-title: J Therm Biol doi: 10.1016/j.jtherbio.2019.07.023 – volume: 31 start-page: 346 year: 2003 ident: 4447_CR25 publication-title: Ann Biomed Eng doi: 10.1114/1.1554924 – ident: 4447_CR16 – ident: 4447_CR6 doi: 10.5772/22616 – year: 2019 ident: 4447_CR17 publication-title: Int J Biomed Imaging doi: 10.1155/2019/1758948 – volume: 490 start-page: 165458 year: 2019 ident: 4447_CR10 publication-title: J Magn Magn Mater doi: 10.1016/j.jmmm.2019.165458 – volume: 36 start-page: 241 year: 2009 ident: 4447_CR24 publication-title: Int Commun Heat Mass Transf doi: 10.1016/j.icheatmasstransfer.2008.11.006 – volume: 6 start-page: 690 year: 2010 ident: 4447_CR27 publication-title: PIERS Online doi: 10.2529/PIERS091218133748 – volume: 335 start-page: 137 year: 1980 ident: 4447_CR3 publication-title: Ann N Y Acad Sci doi: 10.1111/j.1749-6632.1980.tb50742.x – ident: 4447_CR7 doi: 10.1115/1.3138585 – volume: 127 start-page: 336 year: 2018 ident: 4447_CR9 publication-title: Procedia Comput Sci doi: 10.1016/j.procs.2018.01.130 – year: 2013 ident: 4447_CR23 publication-title: Int J Biomed Imaging doi: 10.1155/2013/781603 – volume: 1 start-page: 93 year: 1948 ident: 4447_CR2 publication-title: J Appl Physiol doi: 10.1152/jappl.1948.1.2.93 – volume: 104 start-page: 559 year: 2017 ident: 4447_CR19 publication-title: Int J Heat Mass Transf doi: 10.1016/j.ijheatmasstransfer.2016.08.094 – ident: 4447_CR15 – volume: 85 start-page: 136 year: 2014 ident: 4447_CR26 publication-title: Neuroimage doi: 10.1016/j.neuroimage.2013.04.090 – volume: 8 start-page: 307 year: 2014 ident: 4447_CR1 publication-title: Front Neurosci doi: 10.3389/fnins.2014.00307 – ident: 4447_CR20 doi: 10.4225/03/5b2c64f668b73 – ident: 4447_CR22 doi: 10.9790/3021-03614349 – volume: 100 start-page: 66 year: 2016 ident: 4447_CR12 publication-title: Int J Therm Sci doi: 10.1016/j.ijthermalsci.2015.09.014 |
| SSID | ssj0002793483 ssib051670015 |
| Score | 2.2080555 |
| Snippet | The main aim of the present work is to determine the temperature distribution in the normal and cancerous tissues to achieve the desired condition of... |
| SourceID | proquest crossref springer |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 462 |
| SubjectTerms | Ablation Applied and Technical Physics Blood Boundary conditions Brain Brain cancer Brain research Brain tumors Cancer Cell death Cerebrospinal fluid Chemistry/Food Science Chemotherapy Earth Sciences Engineering Engineering: Computational Biomechanics Environment Fever Finite element analysis Finite element method Geometry Head Heat transfer Human body Hyperthermia Materials Science Mathematical analysis Metabolic rate Metabolism Perfusion Physical properties Radiation therapy Research Article Simulation Substantia alba Substantia grisea Temperature distribution Thermal analysis Thermal simulation Tissues Tumors Veins & arteries |
| SummonAdditionalLinks | – databaseName: ProQuest Central dbid: BENPR link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwELZgywEOvBELBc2BG1isH5vHCQFqxQGtKgSot8iJ7bJVHks225_Z38SM43QBiV7ILQ9bjvJlHp6Zbxh7hRp9qcplxVGdKK5zK3hujONGG536Re5MCLR__5yuVtnpaX4SN9y2Ma1ykolBUNuuoj3ytxJ9NTSV8Xi3-cmpaxRFV2MLjZvsgJjK9IwdfDhanXyZELUUVIUSFd55CLPlSgduTokeGFcIv1hJE-rpKAwoOWUtEI1aysWf2mpvgv4VNQ3K6Pje_77GfXY3mqHwfsTNA3bDtQ_Znd_ICR-xy9VujObUEDhooWsBrUWIGSDQeQhZ77Bxvd_RphuY1sKwa7oeGjcguur1tgnDwjViwYoUzuDpPCShOws_0BfuyRBt1gaq2EEU1wAG0KStA5U0nLmuoe5ftJ7QvocWgJrEQm3IbQDK4D8LK_RrMqTBjZnxMDbJfsy-HR99_fiJx-4PvFKJGniZOJ15L2xilLa6NOha2cwmyhshnXOZ11VaIrpMYqkAmMpqiXY7y0VpEZfqCZu1XeueMjBugVoXpdfCB9pTIyv0y70k86SUMp0zMX3loorU6NShoy6uSJ0DMgpERhGQUYg5e301ZjMSg1z79OEEhyIKiW2xx8KcvZkAtb_979meXT_bc3ZbjhjmC3HIZkO_cy_YrepiWG_7l_EX-QWl-RnI priority: 102 providerName: ProQuest |
| Title | Numerical study on the effects of blood perfusion and tumor metabolism on tumor temperature for targeted hyperthermia considering a realistic geometrical model of head layers using the finite element method |
| URI | https://link.springer.com/article/10.1007/s42452-021-04447-1 https://www.proquest.com/docview/2788428888 |
| Volume | 3 |
| WOSCitedRecordID | wos000629769400004&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 2523-3971 dateEnd: 20231231 omitProxy: false ssIdentifier: ssj0002793483 issn: 2523-3963 databaseCode: DOA dateStart: 20210101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 2523-3971 dateEnd: 20231231 omitProxy: false ssIdentifier: ssib051670015 issn: 2523-3963 databaseCode: M~E dateStart: 20190101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: Earth, Atmospheric & Aquatic Science Database customDbUrl: eissn: 2523-3971 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0002793483 issn: 2523-3963 databaseCode: PCBAR dateStart: 20190101 isFulltext: true titleUrlDefault: https://search.proquest.com/eaasdb providerName: ProQuest – providerCode: PRVPQU databaseName: Engineering Database customDbUrl: eissn: 2523-3971 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0002793483 issn: 2523-3963 databaseCode: M7S dateStart: 20190101 isFulltext: true titleUrlDefault: http://search.proquest.com providerName: ProQuest – providerCode: PRVPQU databaseName: Environmental Science Database customDbUrl: eissn: 2523-3971 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0002793483 issn: 2523-3963 databaseCode: PATMY dateStart: 20190101 isFulltext: true titleUrlDefault: http://search.proquest.com/environmentalscience providerName: ProQuest – providerCode: PRVPQU databaseName: Materials Science Database customDbUrl: eissn: 2523-3971 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0002793483 issn: 2523-3963 databaseCode: KB. dateStart: 20190101 isFulltext: true titleUrlDefault: http://search.proquest.com/materialsscijournals providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 2523-3971 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0002793483 issn: 2523-3963 databaseCode: BENPR dateStart: 20190101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Publicly Available Content Database customDbUrl: eissn: 2523-3971 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0002793483 issn: 2523-3963 databaseCode: PIMPY dateStart: 20190101 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest – providerCode: PRVPQU databaseName: Science Database customDbUrl: eissn: 2523-3971 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0002793483 issn: 2523-3963 databaseCode: M2P dateStart: 20190101 isFulltext: true titleUrlDefault: https://search.proquest.com/sciencejournals providerName: ProQuest – providerCode: PRVAVX databaseName: SpringerOpen customDbUrl: eissn: 2523-3971 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0002793483 issn: 2523-3963 databaseCode: C24 dateStart: 20210101 isFulltext: true titleUrlDefault: https://link.springer.com/search?facet-content-type=%22Journal%22 providerName: Springer Nature |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lj9MwELbQLgc48EYUlmoO3MCodtI8jttqVyDYKloeWk6RE9tLUR6rNOVn8puYcZwWECBBDo7a2tFI_uqZycx8w9gz1OjzoJiXHNVJwMNUC54qZbgKVRjbWWqUC7R_fBuvVsnFRZr5orDNmO0-hiTdSb0rdqMYneSUUkAcZzFHn-dwLpKUcL3cc47PBVWeeCX3xYXW0iB0fJwSvS4eIOR89czvH_uzhtqbnb9ESp0COr39f6LfYbe8wQnHA0Lusmumucdu_kBDeJ99W22HuE0Fjm0W2gbQLgSf6wGtBZffDlems1t6vQaq0dBv67aD2vSIo2q9qd0y9x3xXXmyZrD02aWbGw2f0evtyOSs1wpK3ysUZQAFaLxWjjQaLk1bU58vksc16iEBUGdoqBQ5CEC5-pdOQrsmkxnMkAMPQzvsB-zD6cn75Svu-zzwMoiCnheRCRNrhY5UEOqwUOhE6URHgVVCGmMSG5ZxgThSkaZSXyqgJYLtJBWFRgQGD9lB0zbmEQNlZqhf8ZyaWUdwqmSJHriVZIgUUsYTJsa9zUtPgk69OKp8R9_s9irHvcrdXuViwp7v1lwNFCB_nX00Qib3x8Eml3GSoJ-H14S9GCGy__nPT3v8b9OfsBtyQBmfiSN20Hdb85RdL7_26003ZYeLk1V2PnV_l6l7-4Djm8VLHM9kRmP8Dmdly8XxOd1fn2WfvgP_tBYb |
| linkProvider | Springer Nature |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9NAEF6VFIly4I0IFJgDnGBFvOv4cUAIAVWjplEOBZWTWXt3Syo_guOA-FP8FH4TM2u7ASR66wHf_FqN7W93Zjwz3zD2BDX6WKbjjKM6kdyPtcdjpQxXvvJDO4qNcoH2D9NwNouOj-P5FvvR18JQWmW_JrqFWlcZ_SN_IdBXQ1MZt1fLL5y6RlF0tW-h0cLiwHz_hi7b6uXkLX7fp0LsvTt6s8-7rgI8k4FseBoYP7LW04GSvvZThSa7jnQgrfKEMSayfhamKLUKNBWWUrkm0TlHsZdqfF6J415i2z6CPRqw7fnkcP6xR_DYo6qXTsGeurBeLH3HBSrQ4-MS4d5V7rj6PQo7Ck5ZEkTbFnLvT-24MXn_itI65bd3_X97bTfYtc7MhtftvLjJtkx5i139jXzxNvs5W7fRqhwcxy5UJaA1DF2GC1QWXFY_LE1t1_RTEVSpoVkXVQ2FaXD25ItV4W5zx4jlq6OoBkv7LsneaPiMvn5NhnaxUJB1HVJRBlCAJnvuqLLhxFQFdTcjeVx7IhIANaWGXJFbBFShcOIktAtyFMC0mf_QNgG_w95fyAu9ywZlVZp7DJQZoVWBq_PIOlpXJbJIhlaQ-ZUKEQ6Z16MqyTrqd-pAkidnpNUOiQkiMXFITLwhe3Z2z7IlPjn36t0efkm3CK6SDfaG7HkP4M3pf492__zRHrMr-0eH02Q6mR08YDuinT985O2yQVOvzUN2OfvaLFb1o256Avt00dD-BRXReFY |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9NAEF6VFCE48EYNFJgDnGBVe-34cUCotERUraIIAerNrL27JZUfIXFA_Wv8CH4TM-t1A0j01gNH2_Fq7Xy7841n5hvGnqFFHwX5qOBoTgIepsrnqZSay1CGsfFSLW2g_dNRPJkkx8fpdIP96GthKK2y3xPtRq2agr6R7wj01ZAqk8NmXFrEdH_8ev6VUwcpirT27TQ6iBzqs-_ovi1fHezjf_1ciPHbD3vvuOswwIsgClqeRzpMjPFVJINQhblE-q4SFQVG-kJrnZiwiHN8AhkpKjKl0k2Sdk5SP1f47AGOe4VtJlHsiQHbnO692X3fo3nkUwWMM7anNsSXBqHVBRXo_fEAoe-qeGwtH4UgBaeMCZJwi7n_p6Vc09-_IrbWEI5v_c-v8Da76eg37Hbr5Q7b0PVdduM3UcZ77Odk1UWxSrDau9DUgCwZXOYLNAZstj_M9cKs6GMjyFpBu6qaBVS6xVVVzpaVvc2eI_UvJ10Nho5t8r1W8OUMzxMBr2YSCtc5FecAEpDKl1ZCG050U1HXM5qPbVtEE0ALqqCU5C4BVS6c2BmaGTkQoLuKAOiag99nHy_lhT5gg7qp9RYDqT1kG7hre8bKvUpRJEFsBNGyXIh4yPweYVnhJOGpM0mZnYtZW1RmiMrMojLzh-zF-T3zThDlwl9v91DM3Oa4zNY4HLKXPZjXl_892sOLR3vKriGes6ODyeEjdl10S4l7_jYbtIuVfsyuFt_a2XLxxK1UYJ8vG9m_AAGEgMY |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Numerical+study+on+the+effects+of+blood+perfusion+and+tumor+metabolism+on+tumor+temperature+for+targeted+hyperthermia+considering+a+realistic+geometrical+model+of+head+layers+using+the+finite+element+method&rft.jtitle=SN+applied+sciences&rft.au=Kazemi+Alamouti%2C+Adeleh&rft.au=Habibi%2C+Mohammad+Reza&rft.au=Mazidi+Sharfabadi%2C+Mohammad&rft.au=Akbari+Lalimi%2C+Hossein&rft.date=2021-04-01&rft.pub=Springer+International+Publishing&rft.issn=2523-3963&rft.eissn=2523-3971&rft.volume=3&rft.issue=4&rft_id=info:doi/10.1007%2Fs42452-021-04447-1&rft.externalDocID=10_1007_s42452_021_04447_1 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2523-3963&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2523-3963&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2523-3963&client=summon |