68Ga-DOTANOC and 18F-DOPA PET/CT: a site-specific approach to the imaging of parangliomas of the head and neck and of the abdomen

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A [68Ga]Ga-DOTANOC PET/CT radiomic model for non-invasive prediction of tumour grade in pancreatic neuroendocrine tumours

Predicting grade 1 (G1) and 2 (G2) primary pancreatic neuroendocrine tumour (panNET) is crucial to foresee panNET clinical behaviour. 51 patients with G1-G2 primary panNET demonstrated by pre-surgical [68Ga]Ga-DOTANOC PET/CT and diagnostic conventional imaging were grouped according to the tumour grade assessment method: histology on the whole excised primary lesion (HS) or biopsy (BS). First-order and second-order radiomic features (RFs) were computed from SUV maps for the whole tumour volume on HS. The RFs showing the lowest p-values and the highest Area Under the Curve (AUC) were selected. Three radiomic models were assessed: A (trained on HS, validated on BS), B (trained on BS, validated on HS), C (using the cross-validation on the whole dataset). The second-order Normalized homogeneity and Entropy was the most effective RFs couple predicting G2 and G1. The best performance was achieved by model A (test AUC=0.90, sensitivity=0.88, specificity=0.89), followed by model C (median test AUC=0.87, sensitivity=0.83, specificity=0.82). Model B performed worse. Using HS to train a radiomic model leads to the best prediction, although a “hybrid” (HS+BS) population performs better than biopsy-only. The non-invasive prediction of panNET grading may be especially useful in lesions not amenable to biopsy while [68Ga]Ga-DOTANOC heterogeneity might recommend FDG PET/CT

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

Atypical HRCT manifestations of pulmonary sarcoidosis

Purpose: To present our experience of cases of pulmonary sarcoidosis with atypical HRCT patterns found during 2016 focusing on the differential diagnosis to contribute to the difficult role of the radiologist in the disease identification and to help the clinicians to reach the diagnosis. Materials and methods: The HRCT examinations of 47 patients with sarcoidosis were studied retrospectively. All patients had a histopathological confirm of the disease. 29 (61.7%) show a typical pulmonary pattern and 18 (38.3%) an atypical pattern. The latter were evaluated by three experienced radiologists dedicated to thoracic disease to radiologically define the predominant pattern of presentation. Results: In the 18 patients (38.3%) with atypical sarcoidosis, the following parenchymal patterns were observed: four patients (22.2%) had interstitial fibrotic alterations, three patients (16.6%) with reticular pattern with inter–intralobular septal thickening, two patients (11.1%) with small-airway involvement with mosaic oligoemia, two patients (11.1%) with pleural involvement (pneumothorax and pleural plaques), one patient (5.5%) with fibrocystic changes, 1 (5.5%) with halo-sign, 1 (5.5%) with diffuse bilateral ground-glass opacities, and 1 (5.5%) with isolated lung mass; in addition, three patients (16.6%) with atypical lymph node pattern were also found. Conclusions and Discussion: The atypical pulmonary alterations found in CT examination can be confused with other lung diseases and they are always a challenge even for the most experienced radiologist. In our experience, cases with atypical pulmonary sarcoidosis patterns evaluated in the study are consistent with similar cases described in the literature, both in lymph node and atypical parenchymal involvement. All the atypical characteristics of the work should alert the radiologist to consider sarcoidosis among the possible differential diagnoses, always correlating the results of the computed tomography examination with appropriate clinical-laboratory evaluations. © 2017 Italian Society of Medical Radiolog

A [68Ga]Ga-DOTANOC PET/CT Radiomic Model for Non-Invasive Prediction of Tumour Grade in Pancreatic Neuroendocrine Tumours

Predicting grade 1 (G1) and 2 (G2) primary pancreatic neuroendocrine tumour (panNET) is crucial to foresee panNET clinical behaviour. Fifty-one patients with G1-G2 primary panNET demonstrated by pre-surgical [68Ga]Ga-DOTANOC PET/CT and diagnostic conventional imaging were grouped according to the tumour grade assessment method: histology on the whole excised primary lesion (HS) or biopsy (BS). First-order and second-order radiomic features (RFs) were computed from SUV maps for the whole tumour volume on HS. The RFs showing the lowest p-values and the highest area under the curve (AUC) were selected. Three radiomic models were assessed: A (trained on HS, validated on BS), B (trained on BS, validated on HS), and C (using the cross-validation on the whole dataset). The second-order normalized homogeneity and entropy was the most effective RFs couple predicting G2 and G1. The best performance was achieved by model A (test AUC = 0.90, sensitivity = 0.88, specificity = 0.89), followed by model C (median test AUC = 0.87, sensitivity = 0.83, specificity = 0.82). Model B performed worse. Using HS to train a radiomic model leads to the best prediction, although a “hybrid” (HS+BS) population performs better than biopsy-only. The non-invasive prediction of panNET grading may be especially useful in lesions not amenable to biopsy while [68Ga]Ga-DOTANOC heterogeneity might recommend FDG PET/CT

Theragnostic Use of Radiolabelled Dota-Peptides in Meningioma: From Clinical Demand to Future Applications

Meningiomas account for approximately 30% of all new diagnoses of intracranial masses. The 2016 World Health Organization's (WHO) classification currently represents the clinical standard for meningioma's grading and prognostic stratification. However, watchful waiting is frequently the chosen treatment option, although this means the absence of a certain histological diagnosis. Consequently, MRI (or less frequently CT) brain imaging currently represents the unique available tool to define diagnosis, grading, and treatment planning in many cases. Nonetheless, these neuroimaging modalities show some limitations, particularly in the evaluation of skull base lesions. The emerging evidence supporting the use of radiolabelled somatostatin receptor analogues (such as dota-peptides) to provide molecular imaging of meningiomas might at least partially overcome these limitations. Moreover, their potential therapeutic usage might enrich the current clinical offering for these patients. Starting from the strengths and weaknesses of structural and functional neuroimaging in meningiomas, in the present article we systematically reviewed the published studies regarding the use of radiolabelled dota-peptides in surgery and radiotherapy planning, in the restaging of treated patients, as well as in peptide-receptor radionuclide therapy of meningioma

[68Ga]Ga-DOTANOC Uptake at Pancreatic Head/Uncinate Process: Is It a Persistent Diagnostic Pitfall Over Time?

Purpose: [68Ga]Ga-DOTA-peptide uptake in the pancreatic head/uncinate process (UP) is a frequent PET/CT finding. Although mostly physiologic, it can represent a pitfall in PET/CT reading, especially when focal. An increased frequency of UP uptake has been reported in patients (pts) affected by diabetes mellitus (DM). The aim of the study is to describe the frequency of [68Ga]Ga-DOTANOC UP uptake to evaluate its variations over time and its possible correlation with DM. Methods: In September 2017, a monocentric prospective observational electronic archive was initiated at our center to collect clinical and imaging data of pts undergoing [68Ga]Ga-DOTANOC PET/CT. Among the pts enrolled in the first 6 months (Sept 2017 to Feb 2018), those presenting [68Ga]Ga-DOTANOC PET/CT uptake at UP level were included. Pts with UP lesions already documented on CT/MRI or those that underwent surgical excision of UP before PET/CT were excluded from the analysis. [68Ga]Ga-DOTANOC UP uptake was classified as diffuse or focal and compared with the pattern observed in previous PET/CT scans performed at our center. An increased frequency of UP uptake was also correlated with the presence of DM. Results: In the first 6 months, 253 pts were enrolled in the archive and 172 out of them were included in the analysis. UP increased uptake was frequently observed (77/172, 44.8%) and was mostly diffuse (62/77). In 75/172 pts (43.6%), previous [68Ga]Ga-DOTANOC PET/CT scans were available (overall 268 scans; number of previous PET per pt range: 1–20) and were retrospectively reviewed. Despite the fact that, in most pts, the uptake pattern was stable over time (54/75 pts, 72%), it changed in approximately one third of cases (21/75, 28%). Among DM pts (29/172), only 10/29 (34.4%) presented increased UP uptake. Conclusions: UP [68Ga]Ga-DOTANOC uptake is a frequent non-malignant finding (slightly higher than previously reported), mostly presenting with a diffuse pattern. However, contrary to previous reports, our data show that the pattern of uptake may vary over time in approximately one third of the cases and it is not more frequently observed in pts with DM

Real-Life Use of [68Ga]Ga-DOTANOC PET/CT in Confirmed and Suspected NETs from a Prospective 5-Year Electronic Archive at an ENETS Center of Excellence: More Than 2000 Scans in More Than 1500 Patients

The recent introduction of novel treatments for advanced neuroendocrine tumors (NETs) and the well-established impact of clinical case discussion within dedicated multidisciplinary teams indicates the need to promote the centralization of rare diseases, such as NENs (neuroendocrine neoplasms). Data on the real-life use of and indications for [68Ga]Ga-DOTANOC PET/CT were collected from a prospective monocentric 5-year electronic archive including consecutive patients with confirmed and suspected NETs (September 2017 to May 2022). Overall, 2082 [68Ga]Ga-DOTANOC PET/CT scans (1685 confirmed NETs, 397 suspected NETs) were performed in 1537 patients. A high positivity rate was observed across different clinical settings (approximately 70%). Approximately 910/2082 scans were requested by the local oncology ward (851 confirmed NETs, 59 suspected NETs). The following observations were found: (i) the detection rate across all indications was 73.2% (higher for staging, peptide receptor radioligand therapy (PRRT) selection, and treatment response assessment); (ii) in suspected NETs, PET was more often positive when based on radiological findings. This systematic data collection in a high-volume diagnostic center represents a reliable cohort reflecting the global trends in the use of [68Ga]Ga-DOTANOC PET/CT for different clinical indications and primary tumor sites, but prompts the need for further multicenter data sharing in such a rare and slowly progressive disease setting