Key Concepts in Prostate Cancer Imaging and Theranostics: A Practical Terminology Guide for Nuclear Medicine Professionals.
2/5 보강
OpenAlex 토픽 ·
Radiology practices and education
Advances in Oncology and Radiotherapy
Medical Imaging Techniques and Applications
Key terminology related to theranostics in prostate cancer has been consolidated into concise reference tables.
APA
Geoffrey M. Currie, C. David Gilmore, et al. (2026). Key Concepts in Prostate Cancer Imaging and Theranostics: A Practical Terminology Guide for Nuclear Medicine Professionals.. Journal of nuclear medicine technology. https://doi.org/10.2967/jnmt.126.272482
MLA
Geoffrey M. Currie, et al.. "Key Concepts in Prostate Cancer Imaging and Theranostics: A Practical Terminology Guide for Nuclear Medicine Professionals.." Journal of nuclear medicine technology, 2026.
PMID
41974551 ↗
Abstract 한글 요약
Key terminology related to theranostics in prostate cancer has been consolidated into concise reference tables. The definitions are simplified to emphasize practical clinical understanding and working language. Enhanced understanding and familiarity with this shared language supports ongoing professional development and the practical translation of scientific concepts into safe and effective clinical practice.
🏷️ 키워드 / MeSH 📖 같은 키워드 OA만
같은 제1저자의 인용 많은 논문 (2)
🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반
- Prostate Cancer Care for Men with an Intellectual Disability: A Population-based Cohort Study of Symptoms, Diagnosis, Treatment, and Survival.
- Association between polygenic risk scores and cardiovascular events in prostate cancer patients receiving androgen deprivation therapy in Han Chinese.
- Diagnostic accuracy of Ga-PSMA PET/CT versus multiparametric MRI for preoperative pelvic invasion in the patients with prostate cancer.
- Comprehensive analysis of androgen receptor splice variant target gene expression in prostate cancer.
- Whole-body MRI for staging and follow-up of primary musculoskeletal tumours: a systematic review.
- Functional-based multi-omics early prediction of radiation pneumonitis in NSCLC using AI-generated perfusion and ventilation from planning CT.