The Role of Tc-Sestamibi Single-photon Emission Computed Tomography/Computed Tomography in the Diagnostic Pathway for Renal Masses: A Systematic Review and Meta-analysis.

Context: The diagnostic accuracy of current imaging techniques in differentiating benign from malignant neoplasms in the case of indeterminate renal masses is still suboptimal.

Objective: To evaluate the diagnostic accuracy of Tc-sestamibi (SestaMIBI) single-photon emission tomography computed tomography (SPECT)/CT in characterizing indeterminate renal masses by differentiating renal oncocytoma and hybrid oncocytic/chromophobe tumor (HOCT) from (1) all other renal lesions and (2) all malignant renal lesions. Secondary outcomes were: (1) benign versus malignant; (2) renal oncocytoma and HOCT versus clear cell (ccRCC) and papillary (pRCC) renal cell carcinoma; and (3) renal oncocytoma and HOCT versus chromophobe renal cell carcinoma (chRCC).

Multimodal Detection and Targeting of Biopsy-Proven Myocardial Inflammation in Genetic Cardiomyopathies: A Pilot Report.

The authors present a clinical report focused on the overlap between myocarditis and genetic cardiomyopathies of the dilated and arrhythmogenic spectrum. Our cohort was composed of 25 patients undergoing extensive baseline characterization and prospective reassessment by a dedicated multidisciplinary disease unit during a median follow-up of 69 months. We showed that the use of multimodal imaging allowed both discrimination of specific genotypes and identification of myocardial inflammation proven using endomyocardial biopsy.

Somatostatin receptor activity assessed by Ga-DOTATOC PET can preoperatively predict DAXX/ATRX loss of expression in well-differentiated pancreatic neuroendocrine tumors.

Purpose: To evaluate the role of Ga-DOTATOC PET parameters in predicting DAXX/ATRX loss of expression in patients with Pancreatic neuroendocrine tumors (PanNET) candidate to surgery.

Methods: This retrospective study included 72 consecutive patients with PanNET (January 2018-March 2022) who underwent to Ga-DOTATOC PET for preoperative staging. Image analysis: qualitative assessment and extraction of SUVmax, SUV mean, somatostatin receptor density (SRD), and total lesion somatostatin receptor density (TLSRD) from primary PanNET.

Role of [Ga]Ga-PSMA-11 PET radiomics to predict post-surgical ISUP grade in primary prostate cancer.

Purpose: The aim of this study is to investigate the role of [Ga]Ga-PSMA-11 PET radiomics for the prediction of post-surgical International Society of Urological Pathology (ISUP) grade in primary prostate cancer (PCa).

Methods: This retrospective study included 47 PCa patients who underwent [Ga]Ga-PSMA-11 PET at IRCCS San Raffaele Scientific Institute before radical prostatectomy. The whole prostate was manually contoured on PET images and 103 image biomarker standardization initiative (IBSI)-compliant radiomic features (RFs) were extracted.

Role of Machine Learning (ML)-Based Classification Using Conventional F-FDG PET Parameters in Predicting Postsurgical Features of Endometrial Cancer Aggressiveness.

Purpose: to investigate the preoperative role of ML-based classification using conventional F-FDG PET parameters and clinical data in predicting features of EC aggressiveness.

Methods: retrospective study, including 123 EC patients who underwent F-FDG PET (2009-2021) for preoperative staging. Maximum standardized uptake value (SUVmax), SUVmean, metabolic tumour volume (MTV), and total lesion glycolysis (TLG) were computed on the primary tumour.