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Open Access PERSPECTIVE: Cryosurgery process applications: a mathematical review

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This article is Open Access under the terms of the Creative Commons CC BY-NC-ND licence.

The present study reviews some of the prominent mathematical models that are used to simulate the cryosurgery treatment of tumor tissues, i.e., destruction of tumor tissues via controlled freezing with cryoprobes with minimizing the impact on surrounding healthy tissues. Numerical simulation of the appropriate mathematical models that reflect practical situations may help the physicians to design a planning framework for the treatment, which includes total number of cryoprobes to be used, their placement design and the duration of optimal freezing, etc. Finite element method, meshfree method, and finite volume method are some of the suitable numerical techniques for simulating bio-heat transfer process within complex tissues during treatment.

Keywords: BIOHEAT EQUATION; DOUBLE PHASE LAG; NECROSIS ANALYSIS; NUMERICAL SOLUTION; PHASE TRANSITION; SINGLE PHASE LAG; VASCULAR NETWORK

Document Type: Research Article

Affiliations: 1: Department of Mathematics, University of Delhi, Delhi, India 2: Cluster Innovation Centre, University of Delhi, Delhi, India 3: Shaheed Bhagat Singh College, University of Delhi, Delhi, India

Publication date: September 1, 2024

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  • CryoLetters is a bimonthly international journal for low temperature sciences, including cryobiology, cryopreservation or vitrification of cells and tissues, chemical and physical aspects of freezing and drying, and studies involving ecology of cold environments, and cold adaptation

    The journal publishes original research reports, authoritative reviews, technical developments and commissioned book reviews of studies of the effects produced by low temperatures on a wide variety of scientific and technical processes, or those involving low temperature techniques in the investigation of physical, chemical, biological and ecological problems.

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