GLORIA

GEOMAR Library Ocean Research Information Access

X

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • Springer Science and Business Media LLC  (3)
  • Scherfler, Christoph  (3)
  • 2020-2024  (3)
  • 1
    Online Resource
    Online Resource
    ADC textural features in patients with single brain metastases improve clinical risk models
    Springer Science and Business Media LLC ; 2022
    In:  Clinical & Experimental Metastasis Vol. 39, No. 3 ( 2022-06), p. 459-466
    Details
    In: Clinical & Experimental Metastasis, Springer Science and Business Media LLC, Vol. 39, No. 3 ( 2022-06), p. 459-466
    Abstract: In this retrospective study we performed a quantitative textural analysis of apparant diffusion coefficient (ADC) images derived from diffusion weighted MRI (DW-MRI) of single brain metastases (BM) patients from different primary tumors and tested whether these imaging parameters may improve established clinical risk models. Methods We identified 87 patients with single BM who had a DW-MRI at initial diagnosis. Applying image segmentation, volumes of contrast-enhanced lesions in T1 sequences, hyperintense T2 lesions (peritumoral border zone (T2PZ)) and tumor-free gray and white matter compartment (GMWMC) were generated and registered to corresponding ADC maps. ADC textural parameters were generated and a linear backward regression model was applied selecting imaging features in association with survival. A cox proportional hazard model with backward regression was fitted for the clinical prognostic models (diagnosis-specific graded prognostic assessment score (DS-GPA) and the recursive partitioning analysis (RPA)) including these imaging features. Results Thirty ADC textural parameters were generated and linear backward regression identified eight independent imaging parameters which in combination predicted survival. Five ADC texture features derived from T2PZ, the volume of the T2PZ, the normalized mean ADC of the GMWMC as well as the mean ADC slope of T2PZ. A cox backward regression including the DS-GPA, RPA and these eight parameters identified two MRI features which improved the two risk scores (HR = 1.14 [1.05;1.24] for normalized mean ADC GMWMC and HR = 0.87 [0.77;0.97] ) for ADC 3D kurtosis of the T2PZ.) Conclusions Textural analysis of ADC maps in patients with single brain metastases improved established clinical risk models. These findings may aid to better understand the pathogenesis of BM and may allow selection of patients for new treatment options.
    Type of Medium: Online Resource
    ISSN: 0262-0898 , 1573-7276
    URL: Article
    DOI: 10.1007/s10585-022-10160-z
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 1496876-9
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 2
    Online Resource
    Online Resource
    Occupation-related effects on motor cortex thickness among older, cognitive healthy individuals
    Springer Science and Business Media LLC ; 2021
    In:  Brain Structure and Function Vol. 226, No. 4 ( 2021-05), p. 1023-1030
    Details
    In: Brain Structure and Function, Springer Science and Business Media LLC, Vol. 226, No. 4 ( 2021-05), p. 1023-1030
    Abstract: Both, decline of sensorimotor functions and cortical thickness are known processes in healthy aging. Physical activity has been suggested to enhance the execution of daily routine activities and to extend the time of functional independence in advanced age. We hypothesized that cortical thickness of motor areas in retired individuals could be related to physical demands of the profession carried out during working life. Depending on their former occupations, 69 cognitively healthy individuals (range 70–85 years) were divided into higher and lower physically complex occupations (HPCO n  = 27 and LPCO n  = 42) according to the international standard classification of occupations (ISCO-08). Participants underwent a high-resolution 3T T1-weighted MRI scan. Surface-based analysis revealed higher cortical thickness in the left precentral ( P  = 0.001) and postcentral gyrus ( P   〈  0.001) and right postcentral gyrus ( P  = 0.001) for the HPCO relative to the LPCO group (corrected for multiple comparisons, sex, age and leisure activities in the past 20 years). Physical leisure activities associated with exertion were positively correlated with cortical thickness in the left pre- and postcentral gyrus ( P  = 0.037) of the LPCO group. Time since retirement was negatively associated with cortical thickness in the left postcentral gyrus ( P  = 0.004) of the HPCO group. Executing a higher physically complex occupation before retirement was related to relative higher cortical thickness in the primary motor and somatosensory cortex in later life, supporting the hypothesis that physical activity contributes to neural reserve in these regions. However, these benefits appear to vanish when physical activity is reduced due to retirement.
    Type of Medium: Online Resource
    ISSN: 1863-2653 , 1863-2661
    URL: Article
    DOI: 10.1007/s00429-021-02223-w
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 2303775-1
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 3
    Online Resource
    Online Resource
    Somatostatin receptor subtype expression and radiomics from DWI-MRI represent SUV of [68Ga]Ga-DOTATOC PET in patients with meningioma
    Springer Science and Business Media LLC ; 2023
    In:  Journal of Neuro-Oncology
    Details
    In: Journal of Neuro-Oncology, Springer Science and Business Media LLC
    Abstract: This retrospective study aimed to analyse the correlation between somatostatin receptor subtypes (SSTR 1–5) and maximum standardized uptake value (SUV max ) in meningioma patients using Gallium-68 DOTA-D-Phe1-Tyr3-octreotide Positron Emission Tomography ([68Ga]Ga-DOTATOC PET). Secondly, we developed a radiomic model based on apparent diffusion coefficient (ADC) maps derived from diffusion weighted magnetic resonance images (DWI MRI) to reproduce SUV max . Method The study included 51 patients who underwent MRI and [68Ga]Ga-DOTATOC PET before meningioma surgery. SUV max values were quantified from PET images and tumour areas were segmented on post-contrast T1-weighted MRI and mapped to ADC maps. A total of 1940 radiomic features were extracted from the tumour area on each ADC map. A random forest regression model was trained to predict SUV max and the model’s performance was evaluated using repeated nested cross-validation. The expression of SSTR subtypes was quantified in 18 surgical specimens and compared to SUV max values. Results The random forest regression model successfully predicted SUV max values with a significant correlation observed in all 100 repeats (p  〈  0.05). The mean Pearson’s r was 0.42 ± 0.07 SD, and the root mean square error (RMSE) was 28.46 ± 0.16. SSTR subtypes 2A, 2B, and 5 showed significant correlations with SUV max values (p  〈  0.001, R2 = 0.669; p = 0.001, R2 = 0.393; and p = 0.012, R2 = 0.235, respectively). Conclusion SSTR subtypes 2A, 2B, and 5 correlated significantly with SUV max in meningioma patients. The developed radiomic model based on ADC maps effectively reproduces SUV max using [68Ga]Ga-DOTATOC PET.
    Type of Medium: Online Resource
    ISSN: 0167-594X , 1573-7373
    URL: Article
    DOI: 10.1007/s11060-023-04414-3
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2007293-4
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...