ABSTRACT
BACKGROUND: Several ablation confirmation software methods for minimum ablative margin assessment have recently been developed to improve local outcomes for patients undergoing thermal ablation of colorectal liver metastases. Previous assessments were limited to single institutions mostly at the place of development. The aim of this study was to validate the previously identified 5 mm minimum ablative margin (A0) using autosegmentation and biomechanical deformable image registration in a multi-institutional setting. METHODS: This was a multicentre, retrospective study including patients with colorectal liver metastases undergoing CT- or ultrasound-guided microwave or radiofrequency ablation during 2009-2022, reporting 3-year local disease progression (residual unablated tumour or local tumour progression) rates by minimum ablative margin across all institutions and identifying an intraprocedural contrast-enhanced CT-based minimum ablative margin associated with a 3-year local disease progression rate of less than 1%. RESULTS: A total of 400 ablated colorectal liver metastases (median diameter of 1.5 cm) in 243 patients (145 men; median age of 62 [interquartile range 54-70] years) were evaluated, with a median follow-up of 26 (interquartile range 17-40) months. A total of 119 (48.9%) patients with 186 (46.5%) colorectal liver metastases were from international institutions B, C, and D that were not involved in the software development. Three-year local disease progression rates for 0 mm, >0 and <5 mm, and 5 mm or larger minimum ablative margins were 79%, 15%, and 0% respectively for institution A (where the software was developed) and 34%, 19%, and 2% respectively for institutions B, C, and D combined. Local disease progression risk decreased to less than 1% with an intraprocedurally confirmed minimum ablative margin greater than 4.6 mm. CONCLUSION: A minimum ablative margin of 5 mm or larger demonstrates optimal local oncological outcomes. It is proposed that an intraprocedural minimum ablative margin of 5 mm or larger, confirmed using biomechanical deformable image registration, serves as the A0 for colorectal liver metastasis thermal ablation.
Subject(s)
Artificial Intelligence , Colorectal Neoplasms , Liver Neoplasms , Margins of Excision , Tomography, X-Ray Computed , Humans , Colorectal Neoplasms/pathology , Colorectal Neoplasms/diagnostic imaging , Liver Neoplasms/secondary , Liver Neoplasms/surgery , Liver Neoplasms/diagnostic imaging , Male , Retrospective Studies , Female , Middle Aged , Aged , Disease Progression , Radiofrequency Ablation/methodsABSTRACT
In the last years, several studies demonstrated that low-aggressive (Grade Group (GG) ≤ 2) and high-aggressive (GG ≥ 3) prostate cancers (PCas) have different prognoses and mortality. Therefore, the aim of this study was to develop and externally validate a radiomic model to noninvasively classify low-aggressive and high-aggressive PCas based on biparametric magnetic resonance imaging (bpMRI). To this end, 283 patients were retrospectively enrolled from four centers. Features were extracted from apparent diffusion coefficient (ADC) maps and T2-weighted (T2w) sequences. A cross-validation (CV) strategy was adopted to assess the robustness of several classifiers using two out of the four centers. Then, the best classifier was externally validated using the other two centers. An explanation for the final radiomics signature was provided through Shapley additive explanation (SHAP) values and partial dependence plots (PDP). The best combination was a naïve Bayes classifier trained with ten features that reached promising results, i.e., an area under the receiver operating characteristic (ROC) curve (AUC) of 0.75 and 0.73 in the construction and external validation set, respectively. The findings of our work suggest that our radiomics model could help distinguish between low- and high-aggressive PCa. This noninvasive approach, if further validated and integrated into a clinical decision support system able to automatically detect PCa, could help clinicians managing men with suspicion of PCa.
ABSTRACT
BACKGROUND: The case describes a successful endovascular thrombectomy using the ClotTriever System for an acute subclavian thrombosis in venous thoracic outlet syndrome. To the best of our knowledge, this is the first case report on use of Inari ClotTriever for acute upper extremity deep venous thrombosis due to venous thoracic outlet syndrome. The rapid technical and clinical success of our intervention may be an interesting cue for interventional radiologist colleagues. CASE PRESENTATION: Upper extremity deep vein thrombosis in the setting of venous thoracic outlet syndrome generally occurs in young adults after excessive arm activity and can sometimes be managed with anticoagulation. In this case, a 29-year-old male diagnosed with acute effort-induced thrombosis of the left subclavian vein and persistent symptoms following low-molecular-weight heparin therapy underwent mechanical thrombectomy. Successful thrombectomy was completed with > 90% thrombus burden reduction and no complication. The patient experienced immediate symptom relief and vein patency was confirmed via imaging 3 months post procedure. CONCLUSIONS: Mechanical thrombectomy is a promising treatment technique for thrombosis associated with venous thoracic outlet syndrome.