Development of a prediction model of pancreatic fistula after duodenopancreatectomy and soft pancreas by assessing the preoperative image.

BACKGROUND: Pancreatic consistency is one of the most widely accepted risk factors of clinically relevant postoperative pancreatic fistula (CR-POPF) after pancreatectoduodenectomy (PD). The present study aims to identify preoperative characteristics from the preoperative computed tomography (CT) associated with an increased risk. METHODS: Retrospective observational cohort study of patients who underwent PD surgery (January 2010-2019) were enrolled. All patients with available preoperative imaging were included; 103 met the inclusion criteria. Several parameters were measured on preoperative abdominal CT: retrorenal adipose tissue; abdominal perimeter; total adipose tissue, visceral and subcutaneous; skeletal muscle mass; main pancreatic duct (MPD) diameter; pancreatic thickness; remnant pancreatic volume; pancreatic attenuation (pancreas-to-spleen ratio). Primary endpoints were the association of radiological variables with soft pancreatic consistency and POPF development. All variables possibly associated with POPF and soft pancreas were subsequently included into a multivariable logistic regression model. RESULTS: Soft pancreas consistency was found in 43 patients (41.7%) and CR-POPF was higher (51.2% vs. 18%, p < 0.001). Multivariable analysis identified MPD ≤ 3 mm (OR = 7.2, 95%CI 2.3-23, p = 0.001), a remnant pancreatic volume ≥ 20 cm3 (OR = 6.4, 95%CI 2-21, p = 0.041), pancreas-to-spleen < 0.8 (OR = 3.2, 95%CI 1.2-8.4, p = 0.039), and retrorenal adipose tissue ≥ 12 cm3 (OR = 5.3, 95%CI 1.8-15.7, p = 0.013). Multivariable analysis showed MPD ≤ 3 mm (OR = 8.25, 95%CI 2.2-30.8, p = 0.002) and total adipose tissue ≥ 190 cm3 (OR = 3.2, 95%CI 1.1-9.1, p = 0.0027) were independent predictors of CR-POPF. CONCLUSION: The preoperative assessment of MPD, remnant pancreatic volume, pancreas-to-spleen ratio, total adipose tissue, and retrorenal adipose tissue are associated with soft pancreas texture and the risk of CR-POPF.

Delta Radiomics Can Predict Distant Metastasis in Locally Advanced Rectal Cancer: The Challenge to Personalize the Cure.

PURPOSE: Distant metastases are currently the main cause of treatment failure in locally advanced rectal cancer (LARC) patients. The aim of this research is to investigate a correlation between the variation of radiomics features using pre- and post-neoadjuvant chemoradiation (nCRT) magnetic resonance imaging (MRI) with 2 years distant metastasis (2yDM) rate in LARC patients. METHODS AND MATERIALS: Diagnostic pre- and post- nCRT MRI of LARC patients, treated in a single institution from May 2008 to June 2015 with an adequate follow-up time, were retrospectively collected. Gross tumor volumes (GTV) were contoured by an abdominal radiologist and blindly reviewed by a radiation oncologist expert in rectal cancer. The dataset was firstly randomly split into 90% training data, for features selection, and 10% testing data, for the validation. The final set of features after the selection was used to train 15 different classifiers using accuracy as target metric. The models' performance was then assessed on the testing data and the best performing classifier was then selected, maximising the confusion matrix balanced accuracy (BA). RESULTS: Data regarding 213 LARC patients (36% female, 64% male) were collected. Overall 2yDM was 17%. A total of 2,606 features extracted from the pre- and post- nCRT GTV were tested and 4 features were selected after features selection process. Among the 15 tested classifiers, logistic regression proved to be the best performing one with a testing set BA, sensitivity and specificity of 78.5%, 71.4% and 85.7%, respectively. CONCLUSIONS: This study supports a possible role of delta radiomics in predicting following occurrence of distant metastasis. Further studies including a consistent external validation are needed to confirm these results and allows to translate radiomics model in clinical practice. Future integration with clinical and molecular data will be mandatory to fully personalized treatment and follow-up approaches.

Unexpected hosts: imaging parasitic diseases.

Radiologists seldom encounter parasitic diseases in their daily practice in most of Europe, although the incidence of these diseases is increasing due to migration and tourism from/to endemic areas. Moreover, some parasitic diseases are still endemic in certain European regions, and immunocompromised individuals also pose a higher risk of developing these conditions. This article reviews and summarises the imaging findings of some of the most important and frequent human parasitic diseases, including information about the parasite's life cycle, pathophysiology, clinical findings, diagnosis, and treatment. We include malaria, amoebiasis, toxoplasmosis, trypanosomiasis, leishmaniasis, echinococcosis, cysticercosis, clonorchiasis, schistosomiasis, fascioliasis, ascariasis, anisakiasis, dracunculiasis, and strongyloidiasis. The aim of this review is to help radiologists when dealing with these diseases or in cases where they are suspected. Teaching Points • Incidence of parasitic diseases is increasing due to migratory movements and travelling. • Some parasitic diseases are still endemic in certain regions in Europe. • Parasitic diseases can have complex life cycles often involving different hosts. • Prompt diagnosis and treatment is essential for patient management in parasitic diseases. • Radiologists should be able to recognise and suspect the most relevant parasitic diseases.