{"title":"[Parametric imaging of the breast-a paradigm shift?]","authors":"Maximilian Reiser, R Schulz-Wendtland","doi":"10.1007/s00117-025-01420-6","DOIUrl":"https://doi.org/10.1007/s00117-025-01420-6","url":null,"abstract":"","PeriodicalId":74635,"journal":{"name":"Radiologie (Heidelberg, Germany)","volume":"65 3","pages":"151-153"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143470161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kapetas Panagiotis, Roberto Lo Gullo, Daphne Resch, Katja Pinker
{"title":"[Molecular breast imaging : Positron emission tomography/magnetic resonance imaging and targeted tracers].","authors":"Kapetas Panagiotis, Roberto Lo Gullo, Daphne Resch, Katja Pinker","doi":"10.1007/s00117-024-01403-z","DOIUrl":"10.1007/s00117-024-01403-z","url":null,"abstract":"<p><strong>Background: </strong>Molecular imaging has been introduced into breast imaging in recent years, in order to improve breast cancer (BC) depiction as well as our understanding of cancer-associated processes at a cellular and molecular level.</p><p><strong>Objectives: </strong>This review offers an overview of the various molecular imaging modalities implemented in breast imaging as well as of the most significant novel radiotracers and their potential role for the functional evaluation of BC.</p><p><strong>Materials and methods: </strong>The applications and the diagnostic potential of different imaging modalities (scintimammography [SM], breast-specific γ imaging [BSGI], positron emission tomography [PET] mammography [PEM] and PET/MRI) as well as specific tracers (18-fluormisonidazole [<sup>18</sup>F‑MISO], 18-fluoro-L-thymidine [<sup>18</sup>FLT], 18-fluoroestradiol [<sup>18</sup>FES], 89-zirconium-trastuzumab, 18-Fluoroethylcholine [<sup>18</sup>FEC] and 68-gallium-fibroblast activation protein inhibitor [<sup>68</sup>Ga-FAPI]) will be discussed.</p><p><strong>Results: </strong>BSGI increases the sensitivity of SM for small (< 1 cm) lesions, while PEM is more sensitive than whole-body PET scans. Hybrid PET/MRI is the most promising imaging modality for the assessment of BC. While 18F-FDG illustrates the glucose metabolism of cancer cells, novel tracers have other, tumor-specific targets: <sup>18</sup>F‑MISO assesses tumor hypoxia, <sup>18</sup>FLT the metabolism of DNA, <sup>18</sup>FES and <sup>89</sup>Zr-trastuzumab the tumor receptor status, <sup>18</sup>FEC the metabolism of choline and <sup>68</sup>Ga-FAPI cancer-associated fibroblasts.</p><p><strong>Conclusion: </strong>It can be expected that molecular imaging will gain importance for breast imaging in the future, enabling an improved diagnosis, staging, and treatment follow-up.</p>","PeriodicalId":74635,"journal":{"name":"Radiologie (Heidelberg, Germany)","volume":" ","pages":"170-177"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143124125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Annika S Behrens, Matthias W Beckmann, Peter A Fasching, Hanna Huebner, Julius Emons
{"title":"[Personalized profiling in the field of senology].","authors":"Annika S Behrens, Matthias W Beckmann, Peter A Fasching, Hanna Huebner, Julius Emons","doi":"10.1007/s00117-024-01410-0","DOIUrl":"10.1007/s00117-024-01410-0","url":null,"abstract":"<p><strong>Background: </strong>The concept of personalized medicine is becoming increasingly important. The possibilities of diagnostics include not only genetic and molecular tumor profiles, but also the use of precise and individual imaging techniques.</p><p><strong>Objectives: </strong>The development and implementation of suitable diagnostic procedures with high sensitivity and specificity, which are at the same time tailored to the individual risk factors and biological characteristics of the patient, remain a challenge.</p><p><strong>Materials and methods: </strong>To enable personalized profiling, comprehensive diagnostics must be established that take into account all parameters such as imaging, molecular and genetic markers as well as real-world data and the use of artificial intelligence. This article sheds light on different approaches to personalized diagnostics in breast cancer and highlights the current clinical standard, innovative areas of research and the resulting challenges.</p><p><strong>Conclusion: </strong>The highest hurdles for newer imaging techniques are the standardization of image analysis and the validation of these techniques in large clinical trials. The use of artificial intelligence requires not only appropriate technical and medical expertise, but also a sensitive approach to issues such as data protection and patient privacy. Real-world registries offer insights into real world treatment situations and are therefore of great importance.</p>","PeriodicalId":74635,"journal":{"name":"Radiologie (Heidelberg, Germany)","volume":" ","pages":"194-200"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143026090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Matthias Dietzel, Alexandra Resch, Pascal A T Baltzer
{"title":"[Artificial intelligence in breast imaging : Hopes and challenges].","authors":"Matthias Dietzel, Alexandra Resch, Pascal A T Baltzer","doi":"10.1007/s00117-024-01409-7","DOIUrl":"10.1007/s00117-024-01409-7","url":null,"abstract":"<p><strong>Clinical/methodical issue: </strong>Artificial intelligence (AI) is being increasingly integrated into clinical practice. However, the specific benefits are still unclear to many users.</p><p><strong>Standard radiological methods: </strong>In principle, AI applications are available for all imaging modalities, with a particular focus on mammography in breast diagnostics.</p><p><strong>Methodical innovations: </strong>AI promises to filter examinations into negative and clearly positive findings, and thereby reduces part of the radiological workload. Other applications are not yet as widely established.</p><p><strong>Performance: </strong>AI methods for mammography, and to a lesser extent tomosynthesis, have already reached the diagnostic quality of radiologists.</p><p><strong>Achievements: </strong>Except for second-opinion applications/triage in mammography, most methods are still under development.</p><p><strong>Practical recommendations: </strong>Currently, most AI applications must be critically evaluated by potential users regarding their maturity and practical benefits.</p>","PeriodicalId":74635,"journal":{"name":"Radiologie (Heidelberg, Germany)","volume":" ","pages":"187-193"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11845416/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143366426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"[Importance of parametric and molecular imaging for therapeutic management of breast cancer].","authors":"C C Hack, M Wetzl, D Schmidt, M W Beckmann","doi":"10.1007/s00117-024-01394-x","DOIUrl":"10.1007/s00117-024-01394-x","url":null,"abstract":"<p><strong>Background: </strong>In recent years, various magnetic resonance (MRI) and positron emission tomography (PET) parameters have been investigated in breast cancer. Parametric imaging focuses on the visualization and quantification of biological, physiological, and pathological processes at the cellular and molecular level. It therefore provides important insights into the key processes in carcinogenesis and tumor progression. This article aims to illustrate the importance for the management of breast cancer.</p><p><strong>Materials and methods: </strong>Based on the current literature, an overview of the current state of parametric breast imaging and its importance in therapy management is given. Moreover, future opportunities and challenges are highlighted.</p><p><strong>Results: </strong>Parametric imaging in breast cancer includes MRI, nuclear medicine procedures such as PET, the combination of different techniques (PET-CT, PET-MRI) and the use of specific radiotracers. Parametric MRI of the breast mainly uses T2 and diffusion-weighted imaging (DWI) as well as dynamic contrast-enhanced MRI (CM-MRI). Quantitative and qualitative imaging biomarkers provide insights into tumor biology and allow conclusions to be drawn about the molecular subtype or prognosis.</p><p><strong>Conclusions: </strong>Recently, parametric imaging has become established in breast diagnostics. It is constantly evolving and will continue to gain in importance in the forthcoming years. It offers the opportunity to improve the diagnosis and treatment management of breast cancer.</p>","PeriodicalId":74635,"journal":{"name":"Radiologie (Heidelberg, Germany)","volume":" ","pages":"154-161"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142792958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Daniela Prinz, Silvester J Bartsch, Viktoria Ehret, Joachim Friske, Katja Pinker, Thomas H Helbich
{"title":"[Multiparametric magnetic resonance imaging of the breast : What can we expect from the future?]","authors":"Daniela Prinz, Silvester J Bartsch, Viktoria Ehret, Joachim Friske, Katja Pinker, Thomas H Helbich","doi":"10.1007/s00117-024-01390-1","DOIUrl":"10.1007/s00117-024-01390-1","url":null,"abstract":"<p><strong>Background: </strong>The combination of different MRI methods is described as multiparametric MRI (mpMRI) and plays a significant role in breast cancer diagnostics. Currently, mpMRI includes contrast-enhanced and diffusion-weighted MRI. For a more comprehensive characterization of the key processes involved in cancer development, additional MRI methods that capture functional processes at the cellular and molecular levels are necessary. In the context of preclinical studies, MRI methods that enable contrast-free evaluation of key processes at the metabolic and molecular levels are being developed for future clinical applications.</p><p><strong>Objectives: </strong>What does multiparametric MRI in breast cancer look like in the future?</p><p><strong>Methods: </strong>Systematic literature analysis focusing on preclinical research with regard to mpMRI as well as development and modification of noninvasive MRI methods.</p><p><strong>Results: </strong>Some of the most promising MRI methods for the evaluation of breast cancer that can answer functional and metabolic questions are BOLD (blood oxygen level dependent), IVIM (intravoxel incoherent motion), DMI (deuterium metabolic imaging) and CEST (chemical exchange saturation transfer). A combination and, therefore, a multiparametric approach allows for a noninvasive differentiation of breast cancer subtypes and early detection of treatment response which is crucial for the future development of the disease.</p><p><strong>Conclusion: </strong>Standardization of quantification methods as well as improvement and expansion of MRI methods enable such a multiparametric, functional, and metabolic evaluation of the tumor. Many of these are initially developed in preclinical settings before they can be translated into clinical practice.</p>","PeriodicalId":74635,"journal":{"name":"Radiologie (Heidelberg, Germany)","volume":" ","pages":"162-169"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11845421/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142752614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"[Parametric imaging in breast diagnostics : Computed tomography].","authors":"R Schulz-Wendtland, T Wacker","doi":"10.1007/s00117-024-01392-z","DOIUrl":"10.1007/s00117-024-01392-z","url":null,"abstract":"<p><strong>Background: </strong>The complementary breast diagnostics (CMD) include the clinical examination, ultrasound, mammography and magnetic resonance imaging (MRI) of the breast and the assessment of conspicuous findings by interventional methods.</p><p><strong>Objective: </strong>In recent years special breast computed tomography (BCT) systems have been developed and the question arises as to what significance this technology has in comparison to the established MRI procedure.</p><p><strong>Material and methods: </strong>Presentation of the two dedicated BCT systems with different concepts, which are currently commercially available.</p><p><strong>Results: </strong>In comparison to the Koning® (San Jose, CA, USA) BCT (CBBCT) system there are advantages to the SBCT system from AB-CT® (Erlangen, Germany) such as: 1) direct conversion of the photons at the detector resulting in a reduction of possible data loss, which eliminates an intermediate step as with scintillation imaging, 2) higher resolution, 3) lower patient dose and 4) more precise diagnostics of microcalcification.</p><p><strong>Conclusion: </strong>Based on the CMD the SBCT system includes the indications for MRI in the assessment and opens up new perspectives in terms of recognition and three-dimensional visualization of microcalcification, which is not possible with MRI. It remains to be seen whether SBCT will complement or replace MRI in the clarification or assessment of findings.</p>","PeriodicalId":74635,"journal":{"name":"Radiologie (Heidelberg, Germany)","volume":" ","pages":"178-186"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142808839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"[Misdiagnoses in the diagnostics of the abdomen and pelvis].","authors":"Andreas G Schreyer, Markus Juchems","doi":"10.1007/s00117-025-01425-1","DOIUrl":"https://doi.org/10.1007/s00117-025-01425-1","url":null,"abstract":"<p><p>Misdiagnoses in abdominal radiology are a frequent source of clinical errors, often stemming from cognitive biases and perception errors. Typical sources of error include perceptual and interpretative issues, frequently influenced by cognitive mechanisms, such as anchoring and confirmation biases or the satisfaction of search bias. Technical errors, such as suboptimal windowing in computed tomography, also contribute to diagnostic inaccuracies. Enhancing diagnostic accuracy requires awareness of these biases and a systematic reflection on the diagnostic process. This approach enables early error prevention and improves the diagnostic quality in abdominal imaging.</p>","PeriodicalId":74635,"journal":{"name":"Radiologie (Heidelberg, Germany)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143506575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anna Fink, Alexander Rau, Elmar Kotter, Fabian Bamberg, Maximilian Frederik Russe
{"title":"[Optimized interaction with Large Language Models : A practical guide to Prompt Engineering and Retrieval-Augmented Generation].","authors":"Anna Fink, Alexander Rau, Elmar Kotter, Fabian Bamberg, Maximilian Frederik Russe","doi":"10.1007/s00117-025-01416-2","DOIUrl":"https://doi.org/10.1007/s00117-025-01416-2","url":null,"abstract":"<p><strong>Background: </strong>Given the increasing number of radiological examinations, large language models (LLMs) offer promising support in radiology. Optimized interaction is essential to ensure reliable results.</p><p><strong>Objectives: </strong>This article provides an overview of interaction techniques such as prompt engineering, zero-shot learning, and retrieval-augmented generation (RAG) and gives practical tips for their application in radiology.</p><p><strong>Materials and methods: </strong>Demonstration of interaction techniques based on practical examples with concrete recommendations for their application in routine radiological practice.</p><p><strong>Results: </strong>Advanced interaction techniques allow task-specific adaptation of LLMs without the need for retraining. The creation of precise prompts and the use of zero-shot and few-shot learning can significantly improve response quality. RAG enables the integration of current and domain-specific information into LLM tools, increasing the accuracy and relevance of the generated content.</p><p><strong>Conclusions: </strong>The use of prompt engineering, zero-shot and few-shot learning, and RAG can optimize interaction with LLMs in radiology. Through these targeted strategies, radiologists can efficiently integrate general chatbots into routine practice to improve patient care.</p>","PeriodicalId":74635,"journal":{"name":"Radiologie (Heidelberg, Germany)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143470156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}