Publications by authors named "B C Odisio"
Objective: To evaluate the relevance of established surgical risk calculators (SRCs) for predicting complications in patients undergoing percutaneous lung cryoablation (PLC).
Methods: The institution's database was queried for PLC procedures from March 2015 to May 2024, excluding those patients with concomitant local therapies or five or more lesions treated in a single setting. Demographics, frailty metrics as defined by the surgical literature, and procedural variables were collected.
Purpose: To develop a machine-learning algorithm to improve hepatic resection selection for metastatic colorectal cancer patients by predicting post-PVE outcomes.
Material & Methods: This multicenter retrospective study (2000-2020) included 200 consecutive patients with CRC liver-metastases planned for PVE before surgery. Radiomic features and lab values were collected.
Background: Liver venous deprivation (LVD) is known to induce better future liver remnant (FLR) hypertrophy than portal vein embolization (PVE). The role of LVD, compared with PVE, in inducing FLR hypertrophy and allowing safe hepatectomy for patients with extensive colorectal liver metastases (CLM) and high-risk factors for inadequate hypertrophy remains unclear.
Methods: Patients undergoing LVD (n = 22) were matched to patients undergoing PVE (n = 279) in a 1:3 ratio based on propensity scores, prior to planned hepatectomy for CLM at a single center (1998-2023).
Article Synopsis
- The study investigates the effectiveness of radiation therapy (RT) for intrahepatic cholangiocarcinoma (iCCA) and explores a new approach to assess treatment response using quantitative measures rather than traditional size-based methods.
- By analyzing CT scans from 154 patients, researchers found that changes in viable tumor volume after RT are better indicators of overall survival (OS) compared to standard RECIST criteria, with a notable threshold of a 33% reduction in viable volume signaling optimal treatment response.
- The findings highlight the potential for personalized RT approaches based on individual tumor characteristics, suggesting that mathematical models derived from CT imaging can improve patient outcomes by identifying optimal treatment protocols.
Identification of A0 minimum ablative margins for colorectal liver metastases: multicentre, retrospective study using deformable CT registration and artificial intelligence-based autosegmentation.
Br J Surg
August 2024
Article Synopsis
- Several new software methods have been developed to assess the minimum ablative margin during thermal ablation of colorectal liver metastases, aiming to enhance patient outcomes in a multi-institutional context.
- This retrospective study analyzed 400 cases of thermal ablation over 13 years, focusing on minimum ablative margins and their correlation with local disease progression rates.
- Results showed that a minimum ablative margin of 5 mm or more significantly reduces the risk of local tumor progression, confirming the importance of this margin across various institutions.