Early Prediction of Response of Hepatocellular Carcinoma to Yttrium-90 Radiation Segmentectomy Using a Machine Learning MR Imaging Radiomic Approach.

Purpose: To assess the accuracy of a machine learning (ML) approach based on magnetic resonance (MR) imaging radiomic quantification obtained before treatment and early after treatment for prediction of early hepatocellular carcinoma (HCC) response to yttrium-90 transarterial radioembolization (TARE).

Materials And Methods: In this retrospective single-center study of 76 patients with HCC, baseline and early (1-2 months) post-TARE MR images were collected. Semiautomated tumor segmentation facilitated extraction of shape, first-order histogram, and custom signal intensity-based radiomic features, which were then trained (n = 46) using a ML XGBoost model and validated on a separate cohort (n = 30) not used in training to predict treatment response assessed at 4-6 months (based on modified Response and Evaluation Criteria in Solid Tumors criteria).

Multi-timepoint imaging with PSMA-targeted [F]F-Florastamin PET/CT: lesion detection and comparison to conventional imaging.

Objective: The aims of this study were to investigate the utility of [F]F-Florastamin, a novel prostate-specific membrane antigen (PSMA)-targeted PET radiotracer with facile radiochemistry, relative to the conventional imaging for the detection of sties of disease and evaluate the effect of multi-timepoint imaging with [F]F-Florastamin PET on lesion detectability.

Methods: Eight prostate cancer patients with known or suspected recurrence who underwent [F]F-Florastamin PET/CT at 1-h and 2-h imaging time-points were included in this prospective pilot study. [F]F-Florastamin PET images were interpreted visually and quantitatively at both time points and compared with CIM.

Diagnostic performance of IQ·SPECT with high-speed scanning: A preliminary quality control study in obese patients.

Background: IQ·SPECT is a recently introduced collimator design for myocardial perfusion imaging (MPI). Little data exist on use of this collimator type in obese patients, particularly Class 2 or 3 [body mass index (BMI) > 35 kg/m].

Methods: Two consecutive rest-stress MPI scans were prospectively acquired using a conventional collimator and IQ·SPECT (acquisition times of 20 and 7 minutes, respectively) in 20 patients with a BMI of >30 kg/m.

Tumour-to-normal tissue (T/N) dosimetry ratios role in assessment of Y selective internal radiation therapy (SIRT).

Objective: The purpose of our work is to assess the role of tumour-to-normal tissue (T/N) dosimetry ratios for predicting response in patients undergoing locoregional therapy to the liver with Y microspheres.

Methods: A total of 39 patients (7 female:32 male, mean age 68.3 ± 7.

Asymptomatic SARS-CoV-2 infection: Incidental findings on FDG PET/CT.

Rationale And Objectives: Identify the incidental findings of Covid-19 pneumonitis on F-FDG PET/CT scan in asymptomatic oncologic patients. The goal was to detect clinically unsuspected Covid-19 infections to prevent community spread.

Materials And Methods: Retrospective analysis was conducted to recognize the pattern of metabolic and radiographic alterations on F-FDG PET/CT scans in Covid-19 patients.