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MRI-based habitat imaging in cancer treatment: current technology, applications, and challenges

Shaolei Li, Yongming Dai, Jiayi Chen, Fuhua Yan, Yingli Yang

2024Cancer Imaging77 citationsDOIOpen Access PDF

Abstract

Extensive efforts have been dedicated to exploring the impact of tumor heterogeneity on cancer treatment at both histological and genetic levels. To accurately measure intra-tumoral heterogeneity, a non-invasive imaging technique, known as habitat imaging, was developed. The technique quantifies intra-tumoral heterogeneity by dividing complex tumors into distinct sub- regions, called habitats. This article reviews the following aspects of habitat imaging in cancer treatment, with a focus on radiotherapy: (1) Habitat imaging biomarkers for assessing tumor physiology; (2) Methods for habitat generation; (3) Efforts to combine radiomics, another imaging quantification method, with habitat imaging; (4) Technical challenges and potential solutions related to habitat imaging; (5) Pathological validation of habitat imaging and how it can be utilized to evaluate cancer treatment by predicting treatment response including survival rate, recurrence, and pathological response as well as ongoing open clinical trials.

Topics & Concepts

MedicineHabitatCancerCancer treatmentCancer imagingPathologicalMedical imagingMedical physicsPathologyRadiologyEcologyBiologyInternal medicineRadiomics and Machine Learning in Medical ImagingCancer Genomics and DiagnosticsMRI in cancer diagnosis
MRI-based habitat imaging in cancer treatment: current technology, applications, and challenges | Litcius