Publications by authors named "Ruby Kemna"
Article Synopsis
- The study evaluated the prognostic significance of total tumor volume (TTV) in predicting early recurrence and overall survival in patients with colorectal liver metastases (CRLM) who received systemic therapy followed by local treatment.
- Results showed that both baseline TTV and changes in TTV after treatment were significantly associated with early recurrence and overall survival, while conventional measures like RECIST1.1 did not show predictive value.
- Findings were validated in an external patient cohort, confirming that TTV provides important prognostic information beyond traditional clinical factors for patients with initially unresectable CRLM.
Article Synopsis
- Researchers developed deep learning models to automate the segmentation of tumors and assess total tumor volume (TTV) in patients with colorectal liver metastases (CRLM).
- The study used CT scans from 259 patients, dividing them into training, validation, and testing sets, resulting in highly accurate segmentation models with a global Dice similarity coefficient of 0.86 for CRLM.
- The findings suggest that these models can significantly reduce the workload for radiologists by allowing for quick and reliable TTV assessments in patients with CRLM.
Purpose To evaluate interobserver variability in the morphologic tumor response assessment of colorectal liver metastases (CRLM) managed with systemic therapy and to assess the relation of morphologic response with gene mutation status, targeted therapy, and Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1 measurements. Materials and Methods Participants with initially unresectable CRLM receiving different systemic therapy regimens from the randomized, controlled CAIRO5 trial (NCT02162563) were included in this prospective imaging study.
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