Drug-induced lung disease: a brief update for radiologists

Pulmonary adverse events and drug-induced lung disease (DILD) can occur when treating many conditions. The incidence of DILDs in clinical practice and the variety of radiological findings have increased, mainly due to the increased use of novel therapeutic agents. It is crucial to determine whether the newly emerging clinical and imaging findings in these patients are due to the progression of the underlying disease, infection, pulmonary edema, or drug use, as this will change the patient management. Although the diagnosis of DILD is usually obtained by excluding other possible causes, radiologists should be aware of the imaging findings of DILD. This article reviews the essential radiological results of DILD and summarizes the critical clinical and imaging findings with an emphasis on novel therapeutic agents

Reliability, diagnostic value, and diagnostic yield of ultrasound-guided percutaneous core needle biopsy for peritoneal lesions

IntroductionPeritoneal lesions cannot be definitively distinguished based on clinical and imaging characteristics alone. This study aimed to evaluate the reliability, diagnostic value, and diagnostic yield of ultrasound-guided percutaneous core needle biopsy (PCNB) for peritoneal lesions.MethodsA retrospective analysis of 129 patients who underwent PCNB for peritoneal lesions was performed to assessed technical completion and diagnostic yield.ResultsThe results showed that ultrasound-guided PCNB is a safe and reliable diagnostic tool with high diagnostic yield for peritoneal lesions. Technical feasibility and diagnostic yield rates were 100% and 89.9%, respectively. The diagnostic yield was lower for patients with a known history of cancer and a short anteroposterior diameter of the target lesion.ConclusionsThese findings suggest that ultrasound-guided PCNB could be considered as a first-line diagnostic tool for peritoneal lesions, as it offers a minimally invasive and accurate means of obtaining tissue samples for diagnosis. Percutaneous ultrasound-guided needle core biopsy is a safe and reliable diagnostic tool with high diagnostic yield for peritoneal lesions. History of cancer and the anteroposterior diameter of the target lesion affect the diagnostic yield of percutaneous biopsy.imageWe would like to thank Wiley Editing Services () for English language editing

Which Body Composition Parameters on Computed Tomography Are More Successful in Predicting the Prognosis of COVID-19 Patients?

ObjectivesThe aims of the study are to compare the body composition parameters (BCPs), which have been reported to have a prognostic impact, in COVID-19 patients, and to determine the most influential BCP(s) on the prognosis.MethodsUnenhanced chest computed tomography examinations of COVID-19 cases were assessed regarding the severity of pneumonia, pectoralis muscle area and density (PMA, PMD), visceral adipose tissue area (VAA), waist circumference, waist to paravertebral muscle circumference ratio, coronary artery calcification severity, and paravertebral muscle area at the T5 vertebral level. A second observer repeated measurements and an intraclass correlation coefficient score were used for interobserver agreement. The relationship between data and patient outcomes (intubation, death) was investigated using multivariable logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of BCPs in predicting outcomes.ResultsA total of 238 (121 males, median age, 48 years [interquartile range, 36-63 years]) consecutive COVID-19 patients with chest computed tomography were investigated. Twenty-four patients (10.08%) were intubated, and 15 patients (6.3%) died during at least 1 month of follow-up. Waist to paravertebral muscle circumference ratio, PMA, PMD, and T5 vertebral level were significantly associated with intubation in the multivariable analysis. Pectoralis muscle density and PMA were significantly associated with death. Pectoralis muscle density showed the highest AUC for the prediction of intubation and death (AUC of 0.814 and 0.871, respectively). There was a good to excellent agreement between observers (intraclass correlation coefficient range, 0.899-0.998).ConclusionsPectoralis muscle density is the most influential BCP in predicting intubation and death in COVID-19 patients