Deep learning based on 68Ga-PSMA-11 PET/CT for predicting pathological upgrading in patients with prostate cancer.

Objectives: To explore the feasibility and importance of deep learning (DL) based on 68Ga-prostate-specific membrane antigen (PSMA)-11 PET/CT in predicting pathological upgrading from biopsy to radical prostatectomy (RP) in patients with prostate cancer (PCa).

Methods: In this retrospective study, all patients underwent 68Ga-PSMA-11 PET/CT, transrectal ultrasound (TRUS)-guided systematic biopsy, and RP for PCa sequentially between January 2017 and December 2022. Two DL models (three-dimensional [3D] ResNet-18 and 3D DenseNet-121) based on 68Ga-PSMA-11 PET and support vector machine (SVM) models integrating clinical data with DL signature were constructed.

Cervical lymph node metastasis prediction of postoperative papillary thyroid carcinoma before I therapy based on clinical and ultrasound characteristics.

Background: The status of lymph nodes is crucial to determine the dose of radioiodine-131(I) for postoperative papillary thyroid carcinoma (PTC). We aimed to develop a nomogram for predicting residual and recurrent cervical lymph node metastasis (CLNM) in postoperative PTC before I therapy.

Method: Data from 612 postoperative PTC patients who underwent I therapy from May 2019 to December 2020 were retrospectively analyzed.

Evaluation of a respiratory motion-corrected image reconstruction algorithm in 2-[F]FDG and [Ga]Ga-DOTA-NOC PET/CT: impacts on image quality and tumor quantification.

Background: Respiratory motions may cause artifacts on positron emission tomography (PET) images that degrade image quality and quantification accuracy. This study aimed to evaluate the effect of a respiratory motion-corrected image reconstruction (MCIR) algorithm on image quality and tumor quantification compared with nongated/nonmotion-corrected reconstruction.

Methods: We used a phantom consisting of 5 motion spheres immersed in a chamber driven by a motor.

Phantom and clinical evaluation of the effect of a new Bayesian penalized likelihood reconstruction algorithm (HYPER Iterative) on Ga-DOTA-NOC PET/CT image quality.

Background: Bayesian penalized likelihood (BPL) algorithm is an effective way to suppress noise in the process of positron emission tomography (PET) image reconstruction by incorporating a smooth penalty. The strength of the smooth penalty is controlled by the penalization factor. The aim was to investigate the impact of different penalization factors and acquisition times in a new BPL algorithm, HYPER Iterative, on the quality of Ga-DOTA-NOC PET/CT images.

Lu-PSMA-I&T Radioligand Therapy for Treating Metastatic Castration-Resistant Prostate Cancer: A Single-Centre Study in East Asians.

Purpose: There is increasing evidence for convincing efficacy and safety of Lu-labled prostate-specific membrane antigen (PSMA)-targeted radioligand therapy (PRLT) for metastatic castration-resistant prostate cancer (mCRPC). However, data are not available regarding the feasibility of Lu-labled PSMA-targeted RLT in East Asians. The present study summarized the first experience with Lu-PSMA-I&T therapy for mCRPC in China.

Small lesion depiction and quantification accuracy of oncological F-FDG PET/CT with small voxel and Bayesian penalized likelihood reconstruction.

Background: To investigate the influence of small voxel Bayesian penalized likelihood (SVB) reconstruction on small lesion detection compared to ordered subset expectation maximization (OSEM) reconstruction using a clinical trials network (CTN) chest phantom and the patients with F-FDG-avid small lung tumors, and determine the optimal penalty factor for the lesion depiction and quantification.

Methods: The CTN phantom was filled with F solution with a sphere-to-background ratio of 3.81:1.

Dosimetry of Lu-DOTATOC first circle treatment in patients with advanced metastatic neuroendocrine tumors: A pilot study in China.

First cycle dosimetry calculation of Lu-DOTATOC (single activity:1.59-3.49 GBq) was carried out in eight patients with advanced neuroendocrine tumors (NETs) who underwent whole-body planar (0.

Use of Chromogranin A for Monitoring Patients With Pancreatic Neuroendocrine Neoplasms.

Objective: We aimed to assess the role of serum chromogranin A (CgA) in monitoring disease status and treatment response in patients with pancreatic neuroendocrine neoplasms (pNENs).

Methods: We included posttherapy pNENs patients with measured serum CgA levels who underwent 68Ga-labeled tetraazacyclododecanetetraacetic acid-peptide positron emission tomography (PET) imaging between April 2017 and January 2020. Serum CgA levels were determined by enzyme-linked immunosorbent assay.

[Tc]Tc-Galacto-RGD integrin αβ-targeted imaging as a surrogate for molecular phenotyping in lung cancer: real-world data.

Background: Epidermal growth factor receptor tyrosine kinase inhibitors (TKIs) are beneficial in patients with lung cancer. We explored the clinical value of [Tc]Tc-Galacto-RGD single-photon emission computed tomography (SPECT/CT) in patients with lung cancer, integrin αβ expression, and neovascularization in lung cancer subtypes was also addressed.

Methods: A total of 185 patients with lung cancer and 25 patients with benign lung diseases were enrolled in this prospective study from January 2013 to December 2016.

Impact of total variation regularized expectation maximization reconstruction on the image quality of Ga-PSMA PET: a phantom and patient study.

Objectives: To investigate the impact of total variation regularized expectation maximization (TVREM) reconstruction on the image quality of Ga-PSMA-11 PET/CT using phantom and patient data.

Methods: Images of a phantom with small hot sphere inserts and 20 prostate cancer patients were acquired with a digital PET/CT using list-mode and reconstructed with ordered subset expectation maximization (OSEM) and TVREM with seven penalisation factors between 0.01 and 0.

A preliminary study of imaging paclitaxel-induced tumor apoptosis with (99)Tc(m)-His10-Annexin V.

Background: In tumors the process of apoptosis occurs over an interval of time after chemotherapy. It is important to determine the best time for detecting apoptosis by in vivo imaging. In this study, we evaluated the dynamics and feasibility of imaging non-small cell lung cancer (NSCLC) apoptosis induced by paclitaxel treatment using a (99)Tc(m)-labeled Annexin V recombinant with ten consecutive histidines (His10-Annexin V) in a mouse model.

Study on bone density at various skeletal sites for the diagnosis of primary osteoporosis.

The objective of this study was to evaluate the diagnostic value of bone density changes in lumbar vertebrae and femoral necks in patients with primary osteoporosis (OP) at various ages. Dual-energy X-ray absorptiometry (DXA) scans were performed on patients who had their primary visits between March 2008 and February 2009. The bone mineral density (BMD) of the lumbar vertebrae 1-4 (L1-L4) in anteroposterior projection and the proximal femoral neck in lateral projection were measured.

[Technetium-99m labeled synaptotagmin I C2A detection of paclitaxel-induced apoptosis in non-small cell lung cancer].

Unlabelled: Objective To evaluate the efficacy of 99mTc-labeled C2A probe in detection of apoptosis of non-small cell lung cancer (NSCLC) cells after chemotherapy.

Methods: Imaging studies were performed in NSCLC H460-bearing mice. The mice were divided into 2 groups: the paclitaxel-treated group and control group.

[Application of technetium-99m labelled sandostatin Somatostatin receptor imaging in the detection of lung cancer].

Objective: To evaluate the clinical value of (99)Tc(m)-sandostatin receptors imaging ((99)Tc(m)-sandostatin) in detection of lung tumors in comparison with fludeoxyglucose F18 dual head coincidence imaging ((18)F-FDG DHC).

Methods: Fifty-six consecutive patients (40 men, 16 women; mean age: 62 years, range 35 - 80 years) with pulmonary neoplasm were referred for evaluation. All underwent sandostatin scintigraphy using hybrid SPECT/CT.