Introduction: We carried out this study to compare the diagnostic accuracy of multiparametric magnetic resonance imaging (mpMRI) and gallium-68 prostate-specific membrane antigen positron emission tomography/computed tomography (Ga-68 PSMA PET/CT) to detect prostatic carcinoma in patients with serum prostate-specific antigen (PSA) between 4 and 20 ng/ml in prebiopsy setting.
Materials And Methods: This prospective study evaluated men with serum PSA values between 4 and 20 ng/ml. All patients underwent mpMRI and Ga-68 PSMA PET/CT, followed by 12-core transrectal ultrasonography (TRUS)-guided biopsy to detect prostatic carcinoma. The diagnostic accuracy of mpMRI and PSMA PET/CT scan was compared with histopathological findings.
Results: There were thirty patients included in the study with a median age of 73 years (age range: 69-79 years). The median total serum PSA was 8.0 ng/ml (5.0-19.9 ng/ml). Of these, 18 had an identifiable lesion on imaging and had histopathological findings suggestive of carcinoma prostate. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of mpMRI were 100%, 92.30%, 94.73%, and 100%, respectively, and that of PSMA PET scan were 94.44%, 100%, 100%, and 92.31%, respectively. The diagnostic accuracy of both was 96.67%.
Conclusion: PSMA PET scan showed higher PPV and specificity while mpMRI showed higher sensitivity and NPV. The accuracy in predicting presence of carcinoma was the same for both. PSMA PET showed higher specificity and PPV and predicted the subsequent need of biopsy. In our study, the NPV of PET, though good, was lower than mpMRI. Prospective trials with larger sample size are needed. In combination, PET/MRI may achieve greater accuracy and may serve as investigation of choice.
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http://dx.doi.org/10.4103/ijnm.ijnm_243_20 | DOI Listing |
Dig Dis Sci
January 2025
Ningxia Medical University, Xing Qing Block, Shengli Street No.1160, Yin Chuan City, 750004, Ningxia Province, People's Republic of China.
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January 2025
Section of Pediatric Nephrology, Department of Pediatrics, Yale University School of Medicine, New Haven, USA.
Purpose Of Review: To review the benefits of ambulatory blood pressure monitoring and home blood pressure monitoring in children and to discuss implementation of guideline-recommended ambulatory blood pressure monitoring.
Recent Findings: Compared with office blood pressure, ambulatory blood pressure monitoring and home blood pressure monitoring provide superior accuracy, reproducibility, and stronger associations with target organ damage although future work is needed to determine the utility of home blood pressure monitoring to predict hypertension status on ambulatory blood pressure monitoring. Due to the benefits of out-of-office blood pressure measurement, ambulatory blood pressure monitoring has been recommended to confirm the diagnosis of hypertension in children and adolescents since publication of the 2017 American Academy of Pediatrics clinical practice guidelines on hypertension.
Indian J Pediatr
January 2025
Department of Pediatrics, All India Institute of Medical Sciences, Jodhpur, India.
Objectives: To evaluate the predictive ability of furosemide stress test (FST), serum and urine cystatin-C in identifying progressive acute kidney injury (AKI) and the need for kidney replacement therapy (KRT).
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Clin Exp Med
January 2025
Department of Thoracic Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
Introduction Recently, immune cells within the tumor microenvironment (TME) have become crucial in regulating cancer progression and treatment responses. The dynamic interactions between tumors and immune cells are emerging as a promising strategy to activate the host's immune system against various cancers. The development and progression of hepatocellular carcinoma (HCC) involve complex biological processes, with the role of the TME and tumor phenotypes still not fully understood.
View Article and Find Full Text PDFBrain Struct Funct
January 2025
Department of Biomedical Engineering, College of Chemistry and Life Sciences, Beijing University of Technology, Beijing, 100124, China.
The brain undergoes atrophy and cognitive decline with advancing age. The utilization of brain age prediction represents a pioneering methodology in the examination of brain aging. This study aims to develop a deep learning model with high predictive accuracy and interpretability for brain age prediction tasks.
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