The study team set out to identify the role of radiomic
patterns both within the
as well as a peri-tumor
area to predict response to chemotherapy, overall survival as well as the risk
of progression in patients with
The findings of the study suggest that analysis of radiomic
patterns both within the tumor and the area surrounding the tumor
.
"This is the first study to demonstrate that computer-extracted
patterns of heterogeneity, or diversity, from outside the tumor were predictive
of response to chemotherapy," Dr. Khunger said.
"This
is very critical because it could allow for predicting in advance of therapy
which patients with lung cancer are likely to respond or not. This, in turn, could
help identify patients who are
likely to not respond to chemotherapy for alternative therapies such as
radiation or immunotherapy." Although, the possible reason for the difference in
response to chemotherapy is not clear, the study team believes that increased
fibrous tissue content of tumor may make it more responsive to chemotherapy.
Summary
Analyzing unique radiomic patterns of CT images can help
predict patient response to chemotherapy in lung cancer as well as rate of
progression and risk of tumor recurrence. This information will help treating
doctors plan management accordingly.
Reference: - Combination of Peri- and Intratumoral Radiomic Features on Baseline CT Scans Predicts Response to Chemotherapy in Lung Adenocarcinoma - (https://pubs.rsna.org/doi/10.1148/ryai.2019180012)
Source: Medindia