Abstract: Staging of cancers, as part of diagnosis, helps in classifying the growth of cancerous cells according to the size of the tumor and also provides information on the extent of their spread. Traditional methods of diagnosis, such as invasive cancer diagnosis, which includes techniques such as tissue core biopsies, have been employed to sample tumors and assess any potential malignancy. However, they can cause significant discomfort or pain for patients in certain cases. While non-invasive approaches, like contrast MRI, aid in discerning specific tumor characteristics, they may not provide sufficient confirmation. Minimally invasive cancer detection, such as liquid biopsy, has recently emerged as a promising alternative. Additionally, the use of artificial intelligence in cancer detection has gained widespread popularity among clinicians. Thus, the future landscape of non-invasive cancer diagnostics envisions an amalgamation of imaging, AI-based systems, and liquid biopsy techniques working collaboratively to achieve reliable and expedited cancer detection.
Cancers and their staging
Cancers are characterized by an unregulated growth of cells, which ultimately spreads to other parts of the body, causing disruption of normal cellular processes, eventually leading to death. Staging of the cancer helps in classifying the cancer according to the size of the tumor. It also provides information on its spread and the extent of spread. Staging is done through methods such as TNM staging[1], where T stands for the size of the tumor, N refers to the number of nearby lymph nodes that have cancer presence and provides information on whether or not the tumor has metastasized to other locations in the body.