The Diagnostic Value of Contrast Enhanced Ultrasound for Localization of Parathyroid Lesions in Primary Hyperparathyroidism: Comparison With Color Doppler Ultrasound: Comparison With Color Doppler Ultrasound.

OBJECTIVES: Preoperative localization of pathological parathyroid glands with imaging is essential for focused unilateral neck exploration and minimally invasive techniques. Recently published studies suggested that contrast-enhanced ultrasonography (CEUS) had high accuracy in the localization of hyperfunctioning parathyroid glands, with a general increase in the sensitivity as compared to conventional sonography. The purpose of this study was to determine the usefulness of CEUS in the localization of parathyroid lesions relating to surgical and histopathological data, in comparison to color Doppler ultrasound (CDUS), in the same series of patients. METHODS: Records of 142 patients who underwent parathyroidectomy were retrospectively examined comparing imaging and intraoperative/histopathologic findings. RESULTS: The overall sensitivity of CEUS was 77.6% compared with 74.6% for CDUS, although no significative differences were found (P = .516). Conversely, CDUS has shown higher sensitivity than CEUS in the group of patients with associated thyroid pathology but there was no statistical difference (P = .529). The sensitivity for detection of multiple adenomas was the same for both procedures. CONCLUSIONS: We found no significative superior sensitivity of CEUS also in case of concomitant thyroid pathology and multiple glands disease.

A roadmap to parathyroidectomy for kidney transplant candidates.

Chronic kidney disease mineral and bone disorder may persist after successful kidney transplantation. Persistent hyperparathyroidism has been identified in up to 80% of patients throughout the first year after kidney transplantation. International guidelines lack strict recommendations about the management of persistent hyperparathyroidism. However, it is associated with adverse graft and patient outcomes, including higher fracture risk and an increased risk of all-cause mortality and allograft loss. Secondary hyperparathyroidism may be treated medically (vitamin D, phosphate binders and calcimimetics) or surgically (parathyroidectomy). Guideline recommendations suggest medical therapy first but do not clarify optimal parathyroid hormone targets or indications and timing of parathyroidectomy. There are no clear guidelines or long-term studies about the impact of hyperparathyroidism therapy. Parathyroidectomy is more effective than medical treatment, although it is associated with increased short-term risks. Ideally parathyroidectomy should be performed before kidney transplantation to prevent persistent hyperparathyroidism and improve graft outcomes. We now propose a roadmap for the management of secondary hyperparathyroidism in patients eligible for kidney transplantation that includes the indications and timing (pre- or post-kidney transplantation) of parathyroidectomy, the evaluation of parathyroid gland size and the integration of parathyroid gland size in the decision-making process by a multidisciplinary team of nephrologists, radiologists and surgeons.

Erratum to: A roadmap to parathyroidectomy for kidney transplant candidates.

[This corrects the article DOI: 10.1093/ckj/sfac050.].

Radiation-Induced Pneumonitis in the Era of the COVID-19 Pandemic: Artificial Intelligence for Differential Diagnosis.

(1) Aim: To test the performance of a deep learning algorithm in discriminating radiation therapy-related pneumonitis (RP) from COVID-19 pneumonia. (2) Methods: In this retrospective study, we enrolled three groups of subjects: pneumonia-free (control group), COVID-19 pneumonia and RP patients. CT images were analyzed by mean of an artificial intelligence (AI) algorithm based on a novel deep convolutional neural network structure. The cut-off value of risk probability of COVID-19 was 30%; values higher than 30% were classified as COVID-19 High Risk, and values below 30% as COVID-19 Low Risk. The statistical analysis included the Mann-Whitney U test (significance threshold at p < 0.05) and receiver operating characteristic (ROC) curve, with fitting performed using the maximum likelihood fit of a binormal model. (3) Results: Most patients presenting RP (66.7%) were classified by the algorithm as COVID-19 Low Risk. The algorithm showed high sensitivity but low specificity in the detection of RP against COVID-19 pneumonia (sensitivity = 97.0%, specificity = 2%, area under the curve (AUC = 0.72). The specificity increased when an estimated COVID-19 risk probability cut-off of 30% was applied (sensitivity 76%, specificity 63%, AUC = 0.84). (4) Conclusions: The deep learning algorithm was able to discriminate RP from COVID-19 pneumonia, classifying most RP cases as COVID-19 Low Risk.

Deep Learning Algorithm Trained with COVID-19 Pneumonia Also Identifies Immune Checkpoint Inhibitor Therapy-Related Pneumonitis.

BACKGROUND: Coronavirus disease 2019 (COVID-19) pneumonia and immune checkpoint inhibitor (ICI) therapy-related pneumonitis share common features. The aim of this study was to determine on chest computed tomography (CT) images whether a deep convolutional neural network algorithm is able to solve the challenge of differential diagnosis between COVID-19 pneumonia and ICI therapy-related pneumonitis. METHODS: We enrolled three groups: a pneumonia-free group (n = 30), a COVID-19 group (n = 34), and a group of patients with ICI therapy-related pneumonitis (n = 21). Computed tomography images were analyzed with an artificial intelligence (AI) algorithm based on a deep convolutional neural network structure. Statistical analysis included the Mann-Whitney U test (significance threshold at p < 0.05) and the receiver operating characteristic curve (ROC curve). RESULTS: The algorithm showed low specificity in distinguishing COVID-19 from ICI therapy-related pneumonitis (sensitivity 97.1%, specificity 14.3%, area under the curve (AUC) = 0.62). ICI therapy-related pneumonitis was identified by the AI when compared to pneumonia-free controls (sensitivity = 85.7%, specificity 100%, AUC = 0.97). CONCLUSIONS: The deep learning algorithm is not able to distinguish between COVID-19 pneumonia and ICI therapy-related pneumonitis. Awareness must be increased among clinicians about imaging similarities between COVID-19 and ICI therapy-related pneumonitis. ICI therapy-related pneumonitis can be applied as a challenge population for cross-validation to test the robustness of AI models used to analyze interstitial pneumonias of variable etiology.

Pre-operative imaging workup for surgical intervention in primary hyperparathyroidism: A tertiary referral center experience.

PURPOSE: Preoperative imaging in patients with primary hyperparathyroidism provides important localization information, allowing the surgeon to perform a focused surgery. However there are no evidence-based guidelines suggesting which preoperative imaging should be used, resulting in a risk of excessive prescription of exams and waste of economic resources. The main purpose of this study was to describe our experience on the performance of various imaging techniques for the preoperative localization of abnormal parathyroid gland/s, with a focus on the sensitivity and specificity of each technique. Secondly, we carried out an analysis of the cost utility of each technique in order to determine the most clinical and cost-effective combination of localization studies. MATERIALS AND METHODS: Records of 336 patients who underwent parathyroidectomy were retrospectively examined comparing imaging and intraoperative/histopathologic findings to evaluate the accuracy in parathyroid detection of each imaging technique. Costs were determined by regional health system reimbursement. RESULTS: We found that the sensitivity of color Doppler US was significantly higher than SPECT (p 0,023), while the sensitivity of 4D-CT was significantly better than US (p 0,029) and SPECT (p 0,0002). CONCLUSIONS: In experienced hands color Doppler US is a highly sensitive technique especially in patients with no thyroid diseases. In patients with concomitant thyroid pathology, the combination of US and 4D-CT represents a reliable localization technique.

Virtual autopsy in hanging.

The aim of the study was to compare postmortem computed tomographic (CT) imaging findings from a case of hanging with the autopsy findings. The CT showed a good match with autopsy findings especially for bone, soft tissue, and spinal injuries. The CT images of the injuries of the neck obtained by CT scan clearly showed the ligature mark, the hemorrhagic suffusion in the soft tissue (thickening of derma) and in the muscles (sternocleidomastoid) of the neck. Furthermore, CT 3-dimensional reconstruction showed brain edema, fracture of the left posterior horn of the hyoid bone, and a grade 1 retrolisthesis of C5 on C6. This last finding was not detected by autopsy because of the anterior approach that is frequently used in necropsy technique. Nevertheless, the CT virtual autopsy did not show vascular findings (like Amussat mark) because a barium mixture was not injected in the body.

Virtual autopsy with multidetector computed tomography of three cases of charred bodies.

Herein, we report a comparison of multidetector computed tomography (MDCT) and autopsy in the evaluation of three cases of charred human bodies. Interestingly, MDCT identified several findings useful for forensic purposes, including traumatic injuries not related to the fire, relevant vital reaction signs and detection of foreign bodies. Our results, in addition to data gathered in previous studies, indicate that MDCT is an excellent tool for imaging in postmortem investigations and that it has great potential for the forensic documentation and examination of charred bodies.

Does gabexate mesilate affect serum concentrations of acute phase proteins after endoscopic retrograde cholangiopancreatography examination?

BACKGROUND/AIMS: To explore the possibility that the preventive effect of gabexate mesilate on endoscopic retrograde cholangiopancreatography-related acute pancreatitis may be mediated by its modulation of acute phase proteins. METHODOLOGY: Thirty consecutive patients who underwent endoscopic retrograde cholangiopancreatography were randomly assigned to receive 1g of gabexate mesilate (13 patients) or a placebo (17 patients) by continuous i.v. infusion starting 30 minutes before the endoscopy session and continuing for 12 hours afterward. In all patients, C-reactive protein, serum amyloid A and interleukin 6 serum concentrations were determined before endoscopy and 4, 8, 12 and 24 hours afterward. RESULTS: Interleukin 6 basal serum concentrations were not statistically different between patients who had been treated with gabexate mesilate and those who had received the placebo (P = 0.279), whereas C-reactive protein (P = 0.033) and serum amyloid A (P = 0.022) basal values were significantly lower in the gabexate mesilate group than in the placebo group. Compared to basal values, serum interleukin 6 concentrations significantly increased at 4 (P = 0.048) and at 8 (P = 0.025) hours; the increase of serum interleukin 6 concentrations was not significant at 12 (P = 0.092), but became significant at 24 (P = 0.025) hours. C-reactive protein and serum amyloid A serum concentrations increased significantly only at 12 (P = 0.001, P = 0.012, respectively) and 24 (P < 0.001, P = 0.013, respectively) hours. The modifications of serum concentrations of interleukin 6, C-reactive protein and serum amyloid A were not significantly different between the gabexate mesilate and the placebo groups. CONCLUSIONS: Gabexate mesilate does not affect serum concentrations of acute phase proteins after endoscopic retrograde cholangiopancreatography examination and it is able to prevent acute pancreatitis related to endoscopic retrograde cholangiopancreatography via a different mechanism than that explored in this study.