0000000001086777
AUTHOR
M. C. Gilardi
Evaluation of Platinum-based Therapy Response in Non-Small Cell Lung Cancer
Aim: To evaluate the clinical value of PET imaging for an early prediction of tumor response to platinum-based therapy in patients with non-small cell lung cancer (NSCLC). In order to avoid unnecessary toxicity of ineffective chemotherapy treatment, an early identification of NSCLC patients who benefit from this therapy is mandatory. Materials and methods: Seventeen patients are enrolled prospectively: 18F-FDG-PET examinations are carried out before treatment and after the first course. The lesions with the highest uptake in each patient are evaluated according to EORTC, PERCIST and RECIST classifications to discriminate between patients who respond (complete and partial response) from thos…
Caveolin-1, breast cancer and ionizing radiation
Breast cancer (BC) recovery has increased in recent years thanks to efforts of Omics-based research in this field. However, despite the important results obtained, BC remains a complex multifactorial pathology that is difficult to treat appropriately. Caveolin-1 (CAV1), the basic constituent protein of specialized plasma membrane invaginations called caveolae, is emerging as a potential therapeutic biomarker in BC. This factor may modulate BC response to chemotherapy and radiation therapy. In addition, recent reports describe the key role of CAV1 during cell response to oxidative stress. The aim of the present review was to describe the biological roles of CAV1 in BC considering its contras…
An Automatic Method for PET Delineation of Cervical Tumors
Aim: PET imaging is increasingly utilized for radiation treatment planning. Nevertheless, accurate segmentation of PET images is a complex and unresolved problem. Aim of this work is the development of an automatic segmentation method of Biological Target Volume (BTV) in patients with cervical cancer. Materials and methods: Random walks (RW) is a graph-based method that represents a DICOM (Digital Imaging and COmmunications in Medicine) image as a graph. The voxels are its nodes and the edges are defined by a cost function which maps a change in image intensity to edge weights. Then, RW partitions the nodes into target and background subsets. To create an automatic method starting from prev…