Asunto(s)
Neoplasias de los Conductos Biliares , Colangiocarcinoma , Radiómica , Tomografía Computarizada por Rayos X , Humanos , Neoplasias de los Conductos Biliares/diagnóstico por imagen , Neoplasias de los Conductos Biliares/mortalidad , Neoplasias de los Conductos Biliares/patología , Neoplasias de los Conductos Biliares/cirugía , Colangiocarcinoma/diagnóstico por imagen , Colangiocarcinoma/mortalidad , Colangiocarcinoma/patología , Colangiocarcinoma/cirugía , Pronóstico , Tasa de Supervivencia , Tomografía Computarizada por Rayos X/métodosRESUMEN
BACKGROUND: For many tumors, radiomics provided a relevant prognostic contribution. This study tested whether the computed tomography (CT)-based textural features of intrahepatic cholangiocarcinoma (ICC) and peritumoral tissue improve the prediction of survival after resection compared with the standard clinical indices. METHODS: All consecutive patients affected by ICC who underwent hepatectomy at six high-volume centers (2009-2019) were considered for the study. The arterial and portal phases of CT performed fewer than 60 days before surgery were analyzed. A manual segmentation of the tumor was performed (Tumor-VOI). A 5-mm volume expansion then was applied to identify the peritumoral tissue (Margin-VOI). RESULTS: The study enrolled 215 patients. After a median follow-up period of 28 months, the overall survival (OS) rate was 57.0%, and the progression-free survival (PFS) rate was 34.9% at 3 years. The clinical predictive model of OS had a C-index of 0.681. The addition of radiomic features led to a progressive improvement of performances (C-index of 0.71, including the portal Tumor-VOI, C-index of 0.752 including the portal Tumor- and Margin-VOI, C-index of 0.764, including all VOIs of the portal and arterial phases). The latter model combined clinical variables (CA19-9 and tumor pattern), tumor indices (density, homogeneity), margin data (kurtosis, compacity, shape), and GLRLM indices. The model had performance equivalent to that of the postoperative clinical model including the pathology data (C-index of 0.765). The same results were observed for PFS. CONCLUSIONS: The radiomics of ICC and peritumoral tissue extracted from preoperative CT improves the prediction of survival. Both the portal and arterial phases should be considered. Radiomic and clinical data are complementary and achieve a preoperative estimation of prognosis equivalent to that achieved in the postoperative setting.
Asunto(s)
Neoplasias de los Conductos Biliares , Colangiocarcinoma , Hepatectomía , Radiómica , Tomografía Computarizada por Rayos X , Adulto , Anciano , Femenino , Humanos , Masculino , Persona de Mediana Edad , Neoplasias de los Conductos Biliares/cirugía , Neoplasias de los Conductos Biliares/patología , Neoplasias de los Conductos Biliares/diagnóstico por imagen , Neoplasias de los Conductos Biliares/mortalidad , Colangiocarcinoma/cirugía , Colangiocarcinoma/patología , Colangiocarcinoma/diagnóstico por imagen , Colangiocarcinoma/mortalidad , Estudios de Seguimiento , Hepatectomía/mortalidad , Pronóstico , Estudios Retrospectivos , Tasa de Supervivencia , Tomografía Computarizada por Rayos X/métodosRESUMEN
Standard imaging cannot assess the pathology details of intrahepatic cholangiocarcinoma (ICC). We investigated whether CT-based radiomics may improve the prediction of tumor characteristics. All consecutive patients undergoing liver resection for ICC (2009-2019) in six high-volume centers were evaluated for inclusion. On the preoperative CT, we segmented the ICC (Tumor-VOI, i.e., volume-of-interest) and a 5-mm parenchyma rim around the tumor (Margin-VOI). We considered two types of pathology data: tumor grading (G) and microvascular invasion (MVI). The predictive models were internally validated. Overall, 244 patients were analyzed: 82 (34%) had G3 tumors and 139 (57%) had MVI. For G3 prediction, the clinical model had an AUC = 0.69 and an Accuracy = 0.68 at internal cross-validation. The addition of radiomic features extracted from the portal phase of CT improved the model performance (Clinical data+Tumor-VOI: AUC = 0.73/Accuracy = 0.72; +Tumor-/Margin-VOI: AUC = 0.77/Accuracy = 0.77). Also for MVI prediction, the addition of portal phase radiomics improved the model performance (Clinical data: AUC = 0.75/Accuracy = 0.70; +Tumor-VOI: AUC = 0.82/Accuracy = 0.73; +Tumor-/Margin-VOI: AUC = 0.82/Accuracy = 0.75). The permutation tests confirmed that a combined clinical-radiomic model outperforms a purely clinical one (p < 0.05). The addition of the textural features extracted from the arterial phase had no impact. In conclusion, the radiomic features of the tumor and peritumoral tissue extracted from the portal phase of preoperative CT improve the prediction of ICC grading and MVI.
RESUMEN
BACKGROUND: The most impacting direct costs associated to COPD for the National Health Systems (NHS) are those related to accesses to the emergency room and hospital admissions, due to the onset of one or more COPD exacerbations. At the same time, severe COPD treatment, that often require a combination of medicaments, represents a substantial economic burden for the National Health Systems (NHS). This study aimed to evaluate the potential saving deriving from the implementation in the prescription of the two currently available single-inhaler triple therapies (SITTs) versus the currently used multiple-inhaler triple therapies (MITTs) in an eligible COPD population residing in the Apulia Region. METHODS: A budget impact model was developed hypothesizing the progressive replacement of the different MITTs on the reference market (Scenario A) with the pre-established SITTs, assuming a degree of penetration of 30%, 50% and 100% (Scenario B). Drug costs were based on prices published on the Official Gazette and therapy durations were based on prescribing information over the year 2019 (IQVIA™ prescription dataset). RESULTS: Our analysis showed that the extemporaneous MITT with the highest prevalence on the reference market was the inhaled corticosteroids/long-acting ß2-agonists (ICS/LABA) combination plus a long-acting muscarinic antagonists (LAMA). This association of medicaments was paradoxically also the one associated to the highest expense value. The expanded use of a pre-established ICS/LAMA/LABA SITT was associated to a significant economic saving, ranging from a minimum of - 1,108,814 (SITT use: 30%) to a maximum of - 3,658,950 (SITT use: 100%). The cheapest pre-established SITT contained the fluticasone furoate/umeclidinium/vilanterol (FF/UMEC/VI) combination. CONCLUSION: A pre-fixed ICS/LAMA/LABA SITT is cost-saving, compared to the different currently used extemporaneous MITTs. Clinicians should consider the potential benefits of finding less expensive regimens while maintaining adequate efficacy in the prescriptive decision making process of COPD patients.