Advances in Nuclear Medicine and Molecular Imaging

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".

Deadline for manuscript submissions: closed (31 August 2025) | Viewed by 563

Special Issue Editor

Special Issue Information

Dear Colleagues,

This Special Issue highlights the latest breakthroughs in nuclear medicine and molecular imaging, showcasing cutting-edge technologies and their transformative impact on diagnostics and therapeutics. Key advancements include the development of novel radiotracers that enhance the precision of imaging modalities, such as PET and SPECT, enabling earlier and more accurate detection of diseases, such as cancer, cardiovascular disorders, and neurodegenerative conditions. The integration of artificial intelligence and machine learning into imaging analysis is also explored, offering improved data interpretation and personalized treatment planning. Additionally, this Special Issue delves into theranostics, a rapidly growing field that combines diagnostic imaging with targeted radionuclide therapy, revolutionizing patient care by tailoring treatments to individual molecular profiles. Contributions from leading experts emphasize the interdisciplinary nature of these innovations, bridging radiology, oncology, and computational sciences. This collection not only underscores the current state of the field but also envisions future directions, emphasizing the potential of nuclear medicine and molecular imaging to redefine precision medicine and improve clinical outcomes globally.

Dr. Gabriele Masselli
Guest Editor

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Keywords

  • cancer
  • cardiovascular imaging
  • neurodegenerative conditions
  • computed tomography
  • molecular imaging
  • neuroimaging
  • positron emission tomography (PET)
  • single-photon emission computed tomography (SPECT)
  • nuclear medicine
  • molecular imaging
  • theranostics
  • response evaluation

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Published Papers (1 paper)

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Research

10 pages, 968 KB  
Article
Prognostic Value of Automated Bone Scan Index (aBSI) in Patients with mCRPC Undergoing Three vs. Six Cycles of 223Ra Therapy
by Sophie C. Siegmund, Harun Ilhan, Antonia Gerull, Andrei Todica, Marcus Unterrainer, Astrid Delker, Franz Josef Gildehaus, Can D. Aydogdu, Christian G. Stief, Rudolf A. Werner, Lena M. Unterrainer and Mathias J. Zacherl
Diagnostics 2025, 15(16), 2007; https://doi.org/10.3390/diagnostics15162007 - 11 Aug 2025
Viewed by 309
Abstract
Background/Objectives: In patients with metastatic castration-resistant prostate cancer (mCRPC) and osseous metastases only, 223Radium therapy represents a valuable therapeutic option. Bone scintigraphy (BS) is typically performed to assess metastasis load, with the BS-derived automated bone scan index (aBSI) used for response [...] Read more.
Background/Objectives: In patients with metastatic castration-resistant prostate cancer (mCRPC) and osseous metastases only, 223Radium therapy represents a valuable therapeutic option. Bone scintigraphy (BS) is typically performed to assess metastasis load, with the BS-derived automated bone scan index (aBSI) used for response assessment. This study aimed to evaluate the prognostic value of aBSI in patients receiving three or six cycles of 223Ra therapy. Methods: We included patients that were diagnosed with extensive osseous tumor load on BS, had no visceral or nodal metastases, had undergone 223Ra therapy. The aBSI prior to and following three or six cycles of therapy, total tumor volume (TTV), SUVmax, and overall survival were analyzed. Results: This study included 49 mCRPC patients (mean age: 70 ± 9 years) with 42 (85.7%) receiving six and 7 (14.3%) receiving three cycles. After three cycles, the mean aBSI (p = 0.369), TTV (p = 0.902), and SUVmax (p = 0.149) remained unchanged. After six cycles, the mean aBSI (p = 0.247) and TTV (p = 0.784) were unchanged, while SUVmax decreased significantly (p = 0.001). The aBSI did not significantly correlate with the mean aBSI (six cycles: χ2 = 1.823, p = 0.177; three cycles: χ2 = 0.308, p = 0.579). Conclusions: Although quantitative changes in TTV and aBSI did not significantly correlate with each other, their respective absolute values consistently indicated stable disease burden under therapy. This highlights its potential as a useful tool for monitoring disease burden while indicating that aBSI alone is insufficient for predicting overall survival. Full article
(This article belongs to the Special Issue Advances in Nuclear Medicine and Molecular Imaging)
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