A 61-year-old man was referred to our outpatient clinic because of severe bilateral upper leg pain for 1 year. On admission, the patient had anemia and a high serum alkaline phosphatase level. Lumbar and femoral neck T-scores were +10.5 and +9.6, respectively. His radius 33 % T-score was -2.8. Plain radiographs of the patient's pelvis, spine, and long bones revealed osteosclerosis. The patient had previously undergone a prostate biopsy, which showed prostate adenocarcinoma (Gleason score 3 + 4). The patient's total and free prostate-specific antigen were very high. According to previous records, the patient did not have anemia, and his serum alkaline phosphatase (ALP) level was normal. An abdominal radiograph taken 2 years earlier revealed a normal spine and pelvic bone. Bone scintigraphy yielded nontypical findings for prostate cancer metastasis. Computed tomography of the patient's thorax and abdomen showed heterogeneous sclerotic areas in all bones consistent with prostate cancer metastasis. A bone marrow biopsy disclosed disseminated carcinomatosis of bone marrow in association with prostate cancer. Clinicians should be aware of the possibility of prostate malignancy as a cause of high bone mineral density (BMD), even in the absence of typical localized findings on plain radiographs.
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http://dx.doi.org/10.1007/s00198-013-2545-9 | DOI Listing |
Int Urol Nephrol
January 2025
Department of Urology and Urosurgery, Medical Faculty Mannheim, University Medical Centre Mannheim (UMM), University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Baden-Württemberg, Germany.
Purpose: To identify prognostic factors for overall survival (OS) and develop a prognostic score in patients receiving docetaxel in metastatic castration-resistant prostate cancer (mCRPC).
Methods: Retrospective analysis was conducted on mCRPC patients treated with docetaxel at a German tertiary center between March 2010 and November 2023. Prognostic clinical and laboratory factors were analyzed using uni- and multivariable logistic regression.
Eur J Nucl Med Mol Imaging
January 2025
The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
Purpose: The study explores the role of multimodal imaging techniques, such as [F]F-PSMA-1007 PET/CT and multiparametric MRI (mpMRI), in predicting the ISUP (International Society of Urological Pathology) grading of prostate cancer. The goal is to enhance diagnostic accuracy and improve clinical decision-making by integrating these advanced imaging modalities with clinical variables. In particular, the study investigates the application of few-shot learning to address the challenge of limited data in prostate cancer imaging, which is often a common issue in medical research.
View Article and Find Full Text PDFJ Gen Intern Med
January 2025
Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
Background: Active surveillance (AS) is the guideline-recommended treatment for low-risk prostate cancer and involves routine provider visits, lab tests, imaging, and prostate biopsies. Despite good uptake, adherence to AS, in terms of receiving recommended follow-up testing and remaining on AS in the absence of evidence of cancer progression, remains challenging.
Objective: We sought to better understand urologist, primary care providers (PCPs), and patient experiences with AS care delivery to identify opportunities to improve adherence.
Prostate Cancer Prostatic Dis
January 2025
Department of Urology, The Second Hospital of Tianjin Medical University, Tianjin, 300211, China.
Objectives: To develop and validate a lesion-based grading system using clinicopathological and MRI features for predicting positive surgical margin (PSM) following robotic-assisted laparoscopic prostatectomy (RALP) among prostate cancer (PCa) patients.
Methods: Consecutive MRI examinations of patients undergoing RALP for PCa were retrospectively collected from two medical institutions. Patients from center 1 undergoing RALP between January 2020 and December 2021 were included in the derivation cohort and those between January 2022 and December 2022 were allocated to the validation cohort.
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