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Recent Advancements in Nuclear Medicine and Radiology: 2nd Edition
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Recent Advancements in Nuclear Medicine and Radiology: 2nd Edition

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Nuclear Medicine & Radiology".

Deadline for manuscript submissions: 20 December 2026 | Viewed by 1808

Editor

Prof. Dr. Adriaan A. Lammertsma

E-Mail Website
Guest Editor
Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
Interests: PET; medical imaging physics; medical imaging; nuclear medicine; medical image analysis; neuroimaging
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In our previous Special Issue, entitled “Recent Advancements in Nuclear Medicine and Radiology”  (https://www.mdpi.com/journal/jcm/special_issues/18TCAI80S0), we published seven high-quality original research papers, together with comprehensive review papers, describing recent advances in radiology and nuclear medicine. Since then, there have been significant positive developments in scanner technology, tracer procedures, and image analysis techniques. In addition, the evolution of artificial intelligence in clinical practice is only just beginning. To capture these new developments, I am pleased to invite you to contribute to this Special Issue entitled “Recent Advancements in Nuclear Medicine and Radiology: 2nd Edition”.

Prof. Dr. Adriaan A. Lammertsma
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Clinical Medicine is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • PET
  • SPECT
  • CT
  • MRI
  • AI
  • image analysis
  • kinetic analysis

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Related Special Issue

Published Papers (2 papers)

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Research

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18 pages, 22560 KB  
Article
Data-Driven Motion Correction Algorithm: Validation in [13N]NH3 Dynamic PET/CT Scans
by Oscar Isaac Mendoza-Ibañez, Riemer H. J. A. Slart, Charles Hayden, Tonantzin Samara Martínez-Lucio, Friso M. van der Zant, Remco J. J. Knol and Sergiy V. Lazarenko
J. Clin. Med. 2026, 15(3), 984; https://doi.org/10.3390/jcm15030984 - 26 Jan 2026
Cited by 1 | Viewed by 635
Abstract
Background: Motion is a long-standing problem in cardiac PET/CT. An automated data-driven motion correction (DDMC) algorithm for within-reconstruction motion correction (MC) has been developed and validated in static images from [13N]NH3 and 82Rb PET/CT. This study aims to [...] Read more.
Background: Motion is a long-standing problem in cardiac PET/CT. An automated data-driven motion correction (DDMC) algorithm for within-reconstruction motion correction (MC) has been developed and validated in static images from [13N]NH3 and 82Rb PET/CT. This study aims to validate DDMC in dynamic [13N]NH3 PET/CT, and to explore the added value of DDMC in the evaluation of myocardial motion. Methods: Thirty-six PET/CT studies from normal patients and forty-three scans from patients with myocardial ischemia were processed using QPET software without MC (NMC), using manual in-software MC (ISMC), and DDMC. Differences in the mean values of rest-, stress-MBF, and CFR; and differences in effect size related to the use and type of MC method were explored. Moreover, motion vectors provided by DDMC were analyzed to evaluate differences in myocardial motion between scan phases and axes, and to elucidate changes in MBF quantification in relation to the motion extent. Results: In both subgroups, repeated measures ANOVA showed that the use of MC significantly increased regional and global stress-MBF and CFR values (p < 0.05), regardless of the MC method. Paired t-test analysis demonstrated a comparable ES between MC tools, despite minor differences in Cx, RCA and global rest-MBF values. High-intensity motion (>6 mm) proved to be present almost exclusively in the Z (cranio-caudal) direction. In the same axis, motion was significantly higher during stress than rest, regardless of patients’ subgroup. Finally, the Jonckheere trend test showed a significant trend caused by motion in s-MBF values, in which lower stress-MBF values were observed in response to motion extent increments. Conclusions: DDMC is feasible to perform in [13N]NH3 dynamic acquisitions and provides similar MBF/CFR values than manual ISMC. The use of DDMC reduces post-processing times and observer variability, and allows a more extensive evaluation of motion. MC is highly recommended when using QPET, as motion in the Z-axis during stress scans negatively impacts stress-MBF quantification. Full article
(This article belongs to the Special Issue Recent Advancements in Nuclear Medicine and Radiology: 2nd Edition)
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7 pages, 1695 KB  
Case Report
Hepatic Ectopic Pregnancy: A Diagnostic Challenge Highlighted by Multimodal Imaging
by Puja Punukollu, Lindsey Grater, Claudia Szlek, Rebecca Joseph, John Lue, James Maher and Lawrence Devoe
J. Clin. Med. 2026, 15(6), 2388; https://doi.org/10.3390/jcm15062388 - 20 Mar 2026
Viewed by 867
Abstract
Background: Ectopic pregnancy occurs in about 1–2% of all pregnancies, with 95% implanting in the fallopian tubes. Hepatic implantation is one of the rarest and most dangerous forms of abdominal ectopic pregnancy. Its diagnosis is often delayed because of nonspecific symptoms, and it [...] Read more.
Background: Ectopic pregnancy occurs in about 1–2% of all pregnancies, with 95% implanting in the fallopian tubes. Hepatic implantation is one of the rarest and most dangerous forms of abdominal ectopic pregnancy. Its diagnosis is often delayed because of nonspecific symptoms, and it is also often difficult for routine ultrasound imaging to visualize ectopic pregnancy sites that are not in the pelvis. Since this type of pregnancy carries a risk of severe hemorrhage, early identification is crucial. Case: A 30-year-old woman, gravida 3 para 2, presented with a serum β-hCG of 66,408 mIU/mL, but no intrauterine pregnancy was detected on ultrasound imaging. At an outside facility, a laparoscopy was performed, which also failed to show a pelvic ectopic pregnancy. The patient then received her first dose of methotrexate and was subsequently transferred to a tertiary care center for further evaluation. MRI and liver ultrasound showed a 2.3 cm subcapsular lesion in segment 5 of the liver that was suspicious for a hepatic ectopic pregnancy. However, these imaging studies could not exclude a gestational trophoblastic disease or hepatic neoplasm. A dilation and curettage revealed no trophoblastic tissue. The patient next received two additional doses of methotrexate on hospital days 4 and 7 due to an inadequate decline in interval β-hCG; β-hCG levels declined gradually but steadily over several months until they became undetectable and indicated a successful medical treatment of her hepatic ectopic pregnancy. Conclusions: This case highlights the complex diagnostic and treatment challenges presented by a hepatic ectopic pregnancy. Multimodal imaging, serial monitoring of β-hCG levels, and the engagement of a multidisciplinary team were essential factors in achieving a safe, nonsurgical, and successful resolution of this condition. When a pregnancy of unknown location is suspected, extended imaging studies are critical tools for patient evaluation after initial imaging studies and laparoscopy are inconclusive. Full article
(This article belongs to the Special Issue Recent Advancements in Nuclear Medicine and Radiology: 2nd Edition)
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