Katrine Riklund
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View article: 10-year longitudinal dopamine D2-receptor losses are associated with cognitive decline in healthy aging
10-year longitudinal dopamine D2-receptor losses are associated with cognitive decline in healthy aging Open
Aging-related dopamine decline has been suggested as a key factor behind individual differences in cognitive decline at older ages. Thus far, the hypothesized age-dopamine-cognition triad has been extrapolated from cross-sectional studies,…
View article: Ultra-hypofractionated radiotherapy with focal boost for high-risk localized prostate cancer (HYPO-RT-PC-boost): in silico evaluation with histological reference
Ultra-hypofractionated radiotherapy with focal boost for high-risk localized prostate cancer (HYPO-RT-PC-boost): in silico evaluation with histological reference Open
Background and purpose: The study aims to evaluate dosimetric properties of hypofractionated treatment plans integrating focal boost, using registered whole-mount histopathology (WMHP) as reference standard. Methods: Fifteen men from the P…
View article: qDESH: a method to quantify disproportionately enlarged subarachnoid space hydrocephalus
qDESH: a method to quantify disproportionately enlarged subarachnoid space hydrocephalus Open
Background and purpose Disproportionately enlarged subarachnoid space hydrocephalus (DESH) is a radiological biomarker for idiopathic normal pressure hydrocephalus (iNPH). DESH is a subjective measure, based on visual assessments, which ma…
View article: Cost-effectiveness analysis of artificial intelligence (AI) in earlier detection of liver lesions in cirrhotic patients at risk of hepatocellular carcinoma in Italy
Cost-effectiveness analysis of artificial intelligence (AI) in earlier detection of liver lesions in cirrhotic patients at risk of hepatocellular carcinoma in Italy Open
This study suggests that an AI-based approach to detect HCC earlier in cirrhotic patients can be cost-effective. By incorporating cost-effective AI-based approaches in clinical practice, patient outcomes and healthcare efficiency are impro…
View article: FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare
FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare Open
Despite major advances in artificial intelligence (AI) research for healthcare, the deployment and adoption of AI technologies remain limited in clinical practice. This paper describes the FUTURE-AI framework, which provides guidance for t…
View article: Respiratory influence on cerebral blood flow and blood volume – A 4D flow MRI study
Respiratory influence on cerebral blood flow and blood volume – A 4D flow MRI study Open
Variations in cerebral blood flow and blood volume interact with intracranial pressure and cerebrospinal fluid dynamics, all of which play a crucial role in brain homeostasis. A key physiological modulator is respiration, but its impact on…
View article: Aging-related losses in dopamine D2/3 receptor availability are linked to working-memory decline across five years
Aging-related losses in dopamine D2/3 receptor availability are linked to working-memory decline across five years Open
Although age differences in the dopamine system have been suggested to contribute to age-related cognitive decline based on cross-sectional data, recent large-scale cross-sectional studies reported only weak evidence for a correlation amon…
View article: Characterizing long- and short-survival glioblastoma patients with FLT-PET/MRI and metabolomics
Characterizing long- and short-survival glioblastoma patients with FLT-PET/MRI and metabolomics Open
Background Glioblastoma is the most aggressive and malignant brain tumor, characterized by a high degree of heterogeneity, invasiveness, and resistance to treatment. Patients with glioblastoma have a very poor prognosis despite multimodal …
View article: New implementation of data standards for AI in oncology: Experience from the EuCanImage project
New implementation of data standards for AI in oncology: Experience from the EuCanImage project Open
Background An unprecedented amount of personal health data, with the potential to revolutionize precision medicine, is generated at health care institutions worldwide. The exploitation of such data using artificial intelligence (AI) relies…
View article: Histopathology-validated gross tumor volume delineations of intraprostatic lesions using PSMA-positron emission tomography/multiparametric magnetic resonance imaging
Histopathology-validated gross tumor volume delineations of intraprostatic lesions using PSMA-positron emission tomography/multiparametric magnetic resonance imaging Open
The combined use of mpMRI or PSMA-PET/mpMRI shows promise, achieving higher DSC and lesion coverage while minimizing non-malignant tissue inclusion, in comparison to the use of a single image type with an added CTV margin.
View article: Accuracy of gross tumour volume delineation with [68Ga]-PSMA-PET compared to histopathology for high-risk prostate cancer
Accuracy of gross tumour volume delineation with [68Ga]-PSMA-PET compared to histopathology for high-risk prostate cancer Open
Background: The delineation of intraprostatic lesions is vital for correct delivery of focal radiotherapy boost in patients with prostate cancer (PC). Errors in the delineation could translate into reduced tumour control and potentially in…
View article: The influence of hippocampal dopamine D2 receptor losses on episodic-memory decline across 5 years is moderated by BDNF and KIBRA polymorphisms
The influence of hippocampal dopamine D2 receptor losses on episodic-memory decline across 5 years is moderated by BDNF and KIBRA polymorphisms Open
Losses in dopamine (DA) functioning may contribute to aging-related decline in cognition. Hippocampal DA is necessary for successful episodic memory formation. Previously, we reported that higher DA D2 receptor (D2DR) availability in hippo…
View article: New implementation of data standards for AI in oncology. Experience from the EuCanImage project
New implementation of data standards for AI in oncology. Experience from the EuCanImage project Open
Background An unprecedented amount of personal health data, with the potential to revolutionise precision medicine, is generated at healthcare institutions worldwide. The exploitation of such data using artificial intelligence relies on th…
View article: Histopathology-validated lesion detection rates of clinically significant prostate cancer with mpMRI, [68Ga]PSMA-11-PET and [11C]Acetate-PET
Histopathology-validated lesion detection rates of clinically significant prostate cancer with mpMRI, [68Ga]PSMA-11-PET and [11C]Acetate-PET Open
Objective PET/CT and multiparametric MRI (mpMRI) are important diagnostic tools in clinically significant prostate cancer (csPC). The aim of this study was to compare csPC detection rates with [ 68 Ga]PSMA-11-PET (PSMA)-PET, [ 11 C]Acetate…
View article: FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare Open
Despite major advances in artificial intelligence (AI) for medicine and healthcare, the deployment and adoption of AI technologies remain limited in real-world clinical practice. In recent years, concerns have been raised about the technic…
View article: 5‐Year Associations among Cerebral Arterial Pulsatility, Perivascular Space Dilation, and White Matter Lesions
5‐Year Associations among Cerebral Arterial Pulsatility, Perivascular Space Dilation, and White Matter Lesions Open
Objective High cerebral arterial pulsatility index (PI), white matter lesions (WMLs), enlarged perivascular spaces (PVSs), and lacunar infarcts are common findings in the elderly population, and considered indicators of small vessel diseas…