A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma.

PURPOSE: Given its heterogeneity and diverse clinical outcomes, precise subclassification of Barcelona Clinic Liver Cancer stage C (BCLC-C) hepatocellular carcinoma (HCC) is required for appropriately determining patient prognosis and selecting treatment. EXPERIMENTAL DESIGN: We recruited 2,626 patients with BCLC-C HCC from multiple centers, comprising training/test (n = 1,693) and validation cohorts (n = 933). The XGBoost model was chosen for maximum performance among the machine learning (ML) models. Patients were categorized into low-, intermediate-, high-, and very high-risk subgroups based on the estimated prognosis, and this subclassification was named the CLAssification via Machine learning of BCLC-C (CLAM-C). RESULTS: The areas under the receiver operating characteristic curve of the CLAM-C for predicting the 6-, 12-, and 24-month survival of patients with BCLC-C were 0.800, 0.831, and 0.715, respectively-significantly higher than those of the conventional models, which were consistent in the validation cohort. The four subgroups had significantly different median overall survivals, and this difference was maintained among various patient subgroups and treatment modalities. Immune-checkpoint inhibitors and transarterial therapies were associated with significantly better survival than tyrosine kinase inhibitors (TKI) in the low- and intermediate-risk subgroups. In cases with first-line systemic therapy, the CLAM-C identified atezolizumab-bevacizumab as the best therapy, particularly in the high-risk group. In cases with later-line systemic therapy, nivolumab had better survival than TKIs in the low-to-intermediate-risk subgroup, whereas TKIs had better survival in the high- to very high-risk subgroup. CONCLUSIONS: ML modeling effectively subclassified patients with BCLC-C HCC, potentially aiding treatment allocation. Our study underscores the potential utilization of ML modeling in terms of prognostication and treatment allocation in patients with BCLC-C HCC.

Intracranial dural arteriovenous fistulas: analysis of 60 patients.

OBJECTIVE: To analyze and update the clinical symptomatology, CT and MRI findings, angiographic features, and therapeutic outcomes of patients with dural arteriovenous fistulas (DAVFs). BACKGROUND: Studies of DAVFs in a large number of patients have seldom appeared in neurology literature. METHODS: The authors investigated 60 consecutive patients with DAVFs who were admitted between January 1991 and January 2001. The DAVFs were graded into five types according to the classification of Cognard et al. [Radiology 1995;194:671-680]. Presumable etiologies, clinical features, imaging findings and therapeutic outcomes were evaluated on the basis of the location and type of DAVFs. RESULTS: Sinus thrombosis, previous trauma, craniotomy, cerebral infarction and acupuncture were detected as possible etiologic factors of DAVFs. The cavernous sinus (57%) was the most common location of DAVFs. Although the neurological symptoms were closely related to the location of the DAVFs, in some patients, there were also symptoms that did not reflect the location. Although the women outnumbered the men, the men presented with aggressive neurological manifestations more often (p < 0.05). Ten out of 12 patients (83%) with DAVFs involving locations other than the large sinuses presented with aggressive neurological manifestations. 70% of brain CTs and 81% of brain MRIs showed abnormal findings suggestive of DAVFs. Of 33 patients who underwent only endovascular embolization, 29 patients (88%) were cured or improved. Radiosurgery and surgical excision done in some patients provided fair results. Patients with DAVFs involving large sinuses showed a better therapeutic outcome than those in whom locations other than the large sinuses were involved, while patients without venous ectasia had more a favorable outcome than those with it (each, p < 0.01). CONCLUSIONS: DAVFs result from various etiologic factors, show diverse manifestations usually reflecting the location and can be treated successfully in most patients. Factors related to poor clinical outcome include male sex, the presence of venous ectasia and involved locations other than the large sinuses.