Related Experiment Video
Updated: Aug 24, 2026

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014
99mTc-MIBI in the evaluation of breast cancer biology
Silvana Del Vecchio1, Marco Salvatore
1Institute of Biostructures and Bioimages of the National Research Council (CNR), Via S. Pansini, 5 Edificio 10, 80131 Naples, Italy. delvecc@unina.it
Abstract:
A major area of interest in nuclear medicine is the scintigraphic in vivo evaluation of complex cellular processes involved in tumour growth, progression and response to treatment with the aim of defining the biological properties that may orient clinicians towards different adjustments of therapy in individual patients. In the last decade, (99m)Tc-labelled lipophilic cations emerged as suitable tools to trace specific cellular processes and functions in a variety of malignant tumours, including breast cancer. Among these agents, (99m)Tc-methoxyisobutylisonitrile (MIBI) is the most widely evaluated tracer and may serve as a paradigm for this class of compounds. Many clinical studies have been performed to correlate (99m)Tc-MIBI uptake or clearance with histological, molecular and biochemical markers of various cellular processes, including apoptosis, proliferation, P-glycoprotein expression and neoangiogenesis. The final picture emerging from these studies is that the early tracer uptake reflects the mitochondrial status, which is affected by both apoptosis and proliferation, whereas the tracer clearance reflects the activity of drug transporters such as P-glycoprotein. On the basis of the imaging parameter chosen for the analysis of (99m)Tc-MIBI scan in breast cancer patients, the biological information provided may be related to different cellular processes that ultimately govern tumour response to treatment.
More Related Videos
08:36Ultrasound Imaging-guided Intracardiac Injection to Develop a Mouse Model of Breast Cancer Brain Metastases Followed by Longitudinal MRI
Published on: March 6, 2014
08:32Using Computer-based Image Analysis to Improve Quantification of Lung Metastasis in the 4T1 Breast Cancer Model
Published on: October 2, 2020