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  1. AU="van der Horst, A."
  2. AU="Di Mattia, A" AU="Di Mattia, A"
  3. AU="Di Pumpo, Marcello"
  4. AU="Doung, Yee-Cheen"
  5. AU="Saha, Moumita"
  6. AU="Wertz, Ashlee E"
  7. AU="Cowan, Michael J"
  8. AU=Togliatto Gabriele
  9. AU="Bassett, Dani S."
  10. AU="James Lemon"
  11. AU="Gros, Stephanie J"
  12. AU="Saeed Khademi"
  13. AU="Lallet-Daher, Helene"
  14. AU="Greenblatt, M"
  15. AU="Patwa, Ajay K"
  16. AU=Mastaglia F L
  17. AU="De Croock, Femke"
  18. AU=Robinson Michael J
  19. AU=Singh Romil
  20. AU="Martin, S J"
  21. AU="Szendrői, Miklós"
  22. AU="Moncel, Marie-Hélène"
  23. AU=Otu Akaninyene AU=Otu Akaninyene
  24. AU="Chiba, Kentaro"
  25. AU="Zhou, Jihua"
  26. AU="Ronald Bartels"
  27. AU="Liñares, J"
  28. AU="Valle, Valentina"
  29. AU="Tóth, András"
  30. AU="Pawar, Atul Darasing"
  31. AU="Semper, Chelsea"
  32. AU="Kraus, Joanne F"

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  1. Artikel ; Online: Prediction of hematocrit decline and the impact of peri-operative fluid use in lumbar spinal fusion surgery.

    Walker, I S / Vlok, A J / Esterhuizen, T M / van der Horst, A

    European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society

    2023  Band 33, Heft 1, Seite(n) 307–313

    Abstract: Purpose: Peri-operative blood loss unaccounted for and post-operative hematocrit decline could have a significant impact on the outcome of elective spinal surgery patients. The study assesses the accuracy of predictive models of hematocrit decline and ... ...

    Abstract Purpose: Peri-operative blood loss unaccounted for and post-operative hematocrit decline could have a significant impact on the outcome of elective spinal surgery patients. The study assesses the accuracy of predictive models of hematocrit decline and blood loss in spinal surgery and determines the impact of peri-operative fluid administration on hematocrit levels of patients undergoing first-time single level lumbar fusion surgery for degenerative spine disease and the trend thereof in the first 24 h post-operatively.
    Methods: Clinical and biochemical parameters were prospectively collected in patients undergoing single level lumbar spinal surgery. Predictive models were applied to assess their accuracy in intra-operative blood loss and post-operative hematocrit decline.
    Results: High correlation (0.98 Pearson correlation coefficient) occurred between calculated (predicted) and recorded hematocrit from hours 2 to 6 post-operatively. Predictive accuracy declined thereafter yet remained moderate. Patients received an average intra-operative fluid volume of 545.45 ml per hour (47% of estimated total blood volume). A significant hematocrit decline occurred post-induction (43.47-39.78%, p < 0.001) with total fluid volume received being the significant contributing variable (p < 0.001). Hypertensive patients were the only subgroup to drop below the safe hematocrit threshold of 30%.
    Conclusion: Iatrogenic hemodilution can accurately be predicted for the first six hours post-operatively, with high risk patients identifiable. Fluid therapy should be goal directed rather than generic, and good communication between the surgeon and anesthesiologist remains the cornerstone to manage physiological changes secondary to blood loss. Although helpful, predictive formulas are not universally applicable to all phenotypes.
    Mesh-Begriff(e) Humans ; Spinal Fusion/adverse effects ; Hematocrit ; Spinal Diseases ; Blood Loss, Surgical/prevention & control ; Lumbar Vertebrae/surgery ; Retrospective Studies
    Sprache Englisch
    Erscheinungsdatum 2023-11-30
    Erscheinungsland Germany
    Dokumenttyp Journal Article
    ZDB-ID 1115375-1
    ISSN 1432-0932 ; 0940-6719
    ISSN (online) 1432-0932
    ISSN 0940-6719
    DOI 10.1007/s00586-023-07977-x
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel ; Online: Stomach Motion and Deformation: Implications for Preoperative Gastric Cancer Radiation Therapy.

    Bleeker, Margot / Hulshof, Maarten C C M / Bel, Arjan / Sonke, Jan-Jakob / van der Horst, Astrid

    International journal of radiation oncology, biology, physics

    2023  Band 118, Heft 2, Seite(n) 543–553

    Abstract: Purpose: Selection and development of image guided strategies for preoperative gastric radiation therapy requires quantitative knowledge of the various sources of anatomic changes of the stomach. This study aims to investigate the magnitude of ... ...

    Abstract Purpose: Selection and development of image guided strategies for preoperative gastric radiation therapy requires quantitative knowledge of the various sources of anatomic changes of the stomach. This study aims to investigate the magnitude of interfractional and intrafractional stomach motion and deformation using fiducial markers and 4-dimensional (4D) imaging.
    Methods and materials: Fourteen patients who underwent preoperative gastric cancer radiation therapy received 2 to 6 fiducial markers distributed throughout the stomach (total of 54 markers) and additional imaging (ie, 1 planning 4D computed tomography [pCT], 20-25 pretreatment 4D cone beam [CB] CTs, 4-5 posttreatment 4D CBCTs). Marker coordinates on all end-exhale (EE) and end-inhale (EI) scans were obtained after a bony anatomy match. Interfractional marker displacements (ie, between EE pCT and all EE CBCTs) were evaluated for 5 anatomic regions (ie, cardia, small curvature, proximal and distal large curvature, and pylorus). Motion was defined as displacement of the center-of-mass of available markers (COM
    Results: The interfractional marker displacement varied per anatomic region and direction, with systematic and random errors ranging from 1.6-8.8 mm and 2.2-8.2 mm, respectively. Respiratory motion varied per patient (median, 3-dimensional [3D] amplitude 5.2-20.0 mm) and day (interquartile range, 0.8-4.2 mm). Regarding COM
    Conclusions: The demonstrated sizable stomach motions and deformations during radiation therapy stress the need for generous nonuniform planning target volume margins for preoperative gastric cancer radiation therapy. These margins can be decreased by daily image guidance and adaptive radiation therapy.
    Mesh-Begriff(e) Humans ; Stomach Neoplasms/diagnostic imaging ; Stomach Neoplasms/radiotherapy ; Fiducial Markers ; Motion ; Radiotherapy Planning, Computer-Assisted/methods ; Cone-Beam Computed Tomography/methods
    Sprache Englisch
    Erscheinungsdatum 2023-08-25
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 197614-x
    ISSN 1879-355X ; 0360-3016
    ISSN (online) 1879-355X
    ISSN 0360-3016
    DOI 10.1016/j.ijrobp.2023.08.049
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  3. Artikel ; Online: Benefits, Recruitment, Dropout, and Acceptability of the Strength Back Digital Health Intervention for Patients Undergoing Spinal Surgery: Nonrandomized, Qualitative, and Quantitative Pilot Feasibility Study.

    van der Horst, Annemieke / Meijer, Laura / van Os-Medendorp, Harmieke / Jukema, Jan S / Bohlmeijer, Ernst / Schreurs, Karlein Mg / Kelders, Saskia

    JMIR formative research

    2024  Band 8, Seite(n) e54600

    Abstract: Background: Patients undergoing spinal surgery report high levels of insecurity, pain, stress, and anxiety before and after surgery. Unfortunately, there is no guarantee that surgery will resolve all issues; postsurgical recovery often entails moderate ... ...

    Abstract Background: Patients undergoing spinal surgery report high levels of insecurity, pain, stress, and anxiety before and after surgery. Unfortunately, there is no guarantee that surgery will resolve all issues; postsurgical recovery often entails moderate to severe postoperative pain, and some patients undergoing spinal surgery do not experience (long-term) pain relief after surgery. Therefore, focusing on sustainable coping skills and resilience is crucial for these patients. A digital health intervention based on acceptance and commitment therapy (ACT) and positive psychology (PP) was developed to enhance psychological flexibility and well-being and reduce postsurgical pain.
    Objective: The objective of this study was 3-fold: to explore the potential benefits for patients undergoing spinal surgery of the digital ACT and PP intervention Strength Back (research question [RQ] 1), explore the feasibility of a future randomized controlled trial in terms of recruitment and dropout (RQ 2), and assess the acceptability of Strength Back by patients undergoing spinal surgery (RQ 3).
    Methods: We used a nonrandomized experimental design with an intervention group (n=17) and a control group (n=20). To explore the potential benefits of the intervention, participants in both groups filled out questionnaires before and after surgery. These questionnaires included measurements of pain intensity (Numeric Pain Rating Scale), pain interference (Multidimensional Pain Inventory), anxiety and depression (Hospital Anxiety and Depression Scale), valued living (Engaged Living Scale), psychological flexibility (Psychological Inflexibility in Pain Scale), and mental well-being (Mental Health Continuum-Short Form). Semistructured interviews combined with log data and scores on the Twente Engagement With eHealth Technologies Scale were used to assess the acceptability of the intervention.
    Results: A significant improvement over time in emotional (V=99; P=.03) and overall (V=55; P=.004) well-being (Mental Health Continuum-Short Form) was observed only in the intervention group. In addition, the intervention group showed a significantly larger decline in pain intensity (Numeric Pain Rating Scale) than did the control group (U=75; P=.003). Of the available weekly modules on average 80% (12/15) was completed by patients undergoing spinal fusion and 67% (6/9) was completed by patients undergoing decompression surgery. A total of 68% (17/25) of the participants used the intervention until the final interview. Most participants (15/17, 88%) in the intervention group would recommend the intervention to future patients.
    Conclusions: This pilot feasibility study showed that combining ACT and PP in a digital health intervention is promising for patients undergoing spinal surgery as the content was accepted by most of the participants and (larger) improvements in pain intensity and well-being were observed in the intervention group. A digital intervention for patients undergoing (spinal) surgery can use teachable moments, when patients are open to learning more about the surgery and rehabilitation afterward. A larger randomized controlled trial is now warranted.
    Sprache Englisch
    Erscheinungsdatum 2024-02-07
    Erscheinungsland Canada
    Dokumenttyp Journal Article
    ISSN 2561-326X
    ISSN (online) 2561-326X
    DOI 10.2196/54600
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  4. Artikel ; Online: Effect of gastrointestinal gas on the temperature distribution in pancreatic cancer hyperthermia treatment planning.

    van der Horst, Astrid / Kok, H Petra / Crezee, Johannes

    International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group

    2021  Band 38, Heft 1, Seite(n) 229–240

    Abstract: Purpose: In pancreatic cancer treatment, hyperthermia can be added to increase efficacy of chemo- and/or radiotherapy. Gas in stomach, intestines and colon is often in close proximity to the target volume. We investigated the impact of variations in ... ...

    Abstract Purpose: In pancreatic cancer treatment, hyperthermia can be added to increase efficacy of chemo- and/or radiotherapy. Gas in stomach, intestines and colon is often in close proximity to the target volume. We investigated the impact of variations in gastrointestinal gas (GG) on temperature distributions during simulated hyperthermia treatment (HT).
    Methods: We used sets of one CT and eight cone-beam CT (CBCT) scans obtained prior to/during fractionated image-guided radiotherapy in four pancreatic cancer patients. In Plan2Heat, we simulated locoregional heating by an ALBA-4D phased array radiofrequency system and calculated temperature distributions for (i) the segmented CT (sCT), (ii) sCT with GG replaced by muscle (sCT
    Results: GG volume on CBCT varied greatly (9-991 cm
    Conclusions: Considerable changes in volume and position of gastrointestinal gas can occur and are associated with clinically relevant tumor temperature differences.
    Mesh-Begriff(e) Cone-Beam Computed Tomography ; Humans ; Hyperthermia ; Hyperthermia, Induced ; Pancreatic Neoplasms ; Radiotherapy Dosage ; Temperature
    Sprache Englisch
    Erscheinungsdatum 2021-02-05
    Erscheinungsland England
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 632526-9
    ISSN 1464-5157 ; 0265-6736
    ISSN (online) 1464-5157
    ISSN 0265-6736
    DOI 10.1080/02656736.2021.1882709
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  5. Artikel ; Online: Quantifying intrafractional gastric motion using auto-segmentation on MRI: Deformation and respiratory-induced displacement compared.

    Driever, Theo / Hulshof, Maarten C C M / Bel, Arjan / Sonke, Jan-Jakob / van der Horst, Astrid

    Journal of applied clinical medical physics

    2022  Band 24, Heft 4, Seite(n) e13864

    Abstract: Background and purpose: For accurate pre-operative gastric radiotherapy, intrafractional changes must be taken into account. The aim of this study is to quantify local gastric deformations and compare these deformations with respiratory-induced ... ...

    Abstract Background and purpose: For accurate pre-operative gastric radiotherapy, intrafractional changes must be taken into account. The aim of this study is to quantify local gastric deformations and compare these deformations with respiratory-induced displacement.
    Materials and methods: Coronal 2D MRI scans (15-16 min; 120 repetitions of 25-27 interleaved slices) were obtained for 18 healthy volunteers. A deep-learning network was used to auto-segment the stomach. To separate out respiratory-induced displacements, auto-segmentations were rigidly shifted in superior-inferior (SI) direction to align the centre of mass (CoM) within every slice. From these shifted auto-segmentations, 3D iso-probability surfaces (isosurfaces) were established: a reference surface for P
    Results: Larger deformations were mostly seen in the antrum and pyloric region. Median SD
    Conclusion: Locally, gastric deformations can be large. Overall, however, these deformations are limited compared to respiratory-induced displacement. Therefore, unless respiratory motion is considerably reduced, the need to separately include these deformation uncertainties in the treatment margins may be limited.
    Mesh-Begriff(e) Humans ; Motion ; Magnetic Resonance Imaging
    Sprache Englisch
    Erscheinungsdatum 2022-12-24
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 2010347-5
    ISSN 1526-9914 ; 1526-9914
    ISSN (online) 1526-9914
    ISSN 1526-9914
    DOI 10.1002/acm2.13864
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  6. Artikel: Endoscopically placed fiducial markers for image-guided radiotherapy in preoperative gastric cancer: Technical feasibility and potential benefit.

    Bleeker, Margot / van der Horst, Astrid / Bel, Arjan / Sonke, Jan-Jakob / van Hooft, Jeanin E / Pouw, R E / Hulshof, Maarten C C M

    Endoscopy international open

    2023  Band 11, Heft 9, Seite(n) E866–E872

    Abstract: Background and study ... ...

    Abstract Background and study aims
    Sprache Englisch
    Erscheinungsdatum 2023-09-21
    Erscheinungsland Germany
    Dokumenttyp Journal Article
    ZDB-ID 2761052-4
    ISSN 2196-9736 ; 2364-3722
    ISSN (online) 2196-9736
    ISSN 2364-3722
    DOI 10.1055/a-2129-2840
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  7. Artikel ; Online: Dosimetric benefit of a library of plans versus single-plan strategy for pre-operative gastric cancer radiotherapy.

    Bleeker, Margot / Visser, Jorrit / Goudschaal, Karin / Bel, Arjan / Hulshof, Maarten C C M / Sonke, Jan-Jakob / van der Horst, Astrid

    Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology

    2023  Band 182, Seite(n) 109582

    Abstract: Background and purpose: The stomach experiences large volume and shape changes during pre-operative gastric radiotherapy. This study evaluates the dosimetric benefit for organs-at-risk (OARs) of a library of plans (LoP) compared to the traditional ... ...

    Abstract Background and purpose: The stomach experiences large volume and shape changes during pre-operative gastric radiotherapy. This study evaluates the dosimetric benefit for organs-at-risk (OARs) of a library of plans (LoP) compared to the traditional single-plan (SP) strategy.
    Materials and methods: Twelve patients who received SP CBCT-guided pre-operative gastric radiotherapy (45 Gy; 25 fractions) were included. Clinical target volume (CTV) consisted of CTV
    Results: The non-isotropic PTV
    Conclusion: A LoP strategy for pre-operative gastric cancer reduced average PTV and reduced OAR dose compared to a SP strategy, thereby potentially reducing risks for radiation-induced toxicities.
    Mesh-Begriff(e) Humans ; Radiotherapy Dosage ; Stomach Neoplasms/radiotherapy ; Radiotherapy, Intensity-Modulated ; Radiotherapy Planning, Computer-Assisted ; Organs at Risk
    Sprache Englisch
    Erscheinungsdatum 2023-02-25
    Erscheinungsland Ireland
    Dokumenttyp Journal Article
    ZDB-ID 605646-5
    ISSN 1879-0887 ; 0167-8140
    ISSN (online) 1879-0887
    ISSN 0167-8140
    DOI 10.1016/j.radonc.2023.109582
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  8. Artikel ; Online: Gastric deformation models for adaptive radiotherapy: Personalized vs population-based strategy.

    Bleeker, Margot / Hulshof, Maarten C C M / Bel, Arjan / Sonke, Jan-Jakob / van der Horst, Astrid

    Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology

    2021  Band 166, Seite(n) 126–132

    Abstract: Background and purpose: To create a library of plans (LoP) for gastric cancer adaptive radiotherapy, accurate predictions of shape changes due to filling variations are essential. The ability of two strategies (personalized and population-based) to ... ...

    Abstract Background and purpose: To create a library of plans (LoP) for gastric cancer adaptive radiotherapy, accurate predictions of shape changes due to filling variations are essential. The ability of two strategies (personalized and population-based) to predict stomach shape based on filling was evaluated for volunteer and patient data to explore the potential for use in a LoP.
    Materials and methods: For 19 healthy volunteers, stomachs were delineated on MRIs with empty (ES), half-full (HFS) and full stomach (FS). For the personalized strategy, a deformation vector field from HFS to corresponding ES was acquired and extrapolated to predict FS. For the population-based strategy, the average deformation vectors from HFS to FS of 18 volunteers were applied to the HFS of the remaining volunteer to predict FS (leave-one-out principle); thus, predictions were made for each volunteer. Reversed processes were performed to predict ES. To validate, for seven gastric cancer patients, the volunteer population-based model was applied to their pre-treatment CT to predict stomach shape on 2-3 repeat CTs. For all predictions, volume was made equal to true stomach volume.
    Results: FS predictions were satisfactory, with median Dice similarity coefficient (mDSC) of 0.91 (population-based) and 0.89 (personalized). ES predictions were poorer: mDSC = 0.82 for population-based; personalized strategy yielded unachievable volumes. Population-based shape predictions (both ES and FS) were comparable between patients (mDSC = 0.87) and volunteers (0.88).
    Conclusion: The population-based model outperformed the personalized model and demonstrated its ability in predicting filling-dependent stomach shape changes and, therefore, its potential for use in a gastric cancer LoP.
    Mesh-Begriff(e) Humans ; Radiotherapy Planning, Computer-Assisted ; Radiotherapy, Image-Guided ; Radiotherapy, Intensity-Modulated ; Stomach Neoplasms/diagnostic imaging ; Stomach Neoplasms/radiotherapy
    Sprache Englisch
    Erscheinungsdatum 2021-11-30
    Erscheinungsland Ireland
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 605646-5
    ISSN 1879-0887 ; 0167-8140
    ISSN (online) 1879-0887
    ISSN 0167-8140
    DOI 10.1016/j.radonc.2021.11.028
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  9. Artikel ; Online: Improved prospective risk analysis for clinical laboratories compensated for the throughput in processes.

    Janssens, Pim M W / van der Horst, Armando

    Clinical chemistry and laboratory medicine

    2018  Band 56, Heft 11, Seite(n) 1878–1885

    Abstract: Background: Practical application of prospective risk analysis (PRA) in clinical laboratories should reflect processes as they are carried out, while making the PRA results obtained from different processes comparable. This means that not only STAT and ... ...

    Abstract Background: Practical application of prospective risk analysis (PRA) in clinical laboratories should reflect processes as they are carried out, while making the PRA results obtained from different processes comparable. This means that not only STAT and standard testing and testing for critical and less critical parameters should be distinguished (as published), but also that the throughput in processes and process steps should be taken into account.
    Methods: Building on our previously published PRA, a method was developed to compensate for the throughput in processes and process steps. A factor T, related to the actually observed throughput, was introduced in the risk score calculation. Introduction of this compensation factor leads to different overall risk scores. The criteria by which the risk scores are evaluated were modified accordingly.
    Results: Introduction of a factor in the PRA to compensate for throughput leads to a change in the risk score for various conceivable failures in process steps. As compared to the PRA in which no compensation for throughput is made, in a process with low throughput the risk score for various conceivable failures in process steps comes out higher after introduction of the compensation factor, while in a process with high throughput various risk scores come out lower.
    Conclusions: Introduction of a factor to account for the throughput in a process (and process steps) leads to an improved, more realistic PRA, the results of which makes the risk scores of different processes (and process steps) better comparable to each other.
    Mesh-Begriff(e) Clinical Laboratory Services/standards ; Clinical Laboratory Techniques/standards ; Risk Assessment
    Sprache Englisch
    Erscheinungsdatum 2018-05-04
    Erscheinungsland Germany
    Dokumenttyp Journal Article
    ZDB-ID 1418007-8
    ISSN 1437-4331 ; 1434-6621 ; 1437-8523
    ISSN (online) 1437-4331
    ISSN 1434-6621 ; 1437-8523
    DOI 10.1515/cclm-2018-0109
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  10. Artikel ; Online: Automated prediction of low ferritin concentrations using a machine learning algorithm.

    Kurstjens, Steef / de Bel, Thomas / van der Horst, Armando / Kusters, Ron / Krabbe, Johannes / van Balveren, Jasmijn

    Clinical chemistry and laboratory medicine

    2022  Band 60, Heft 12, Seite(n) 1921–1928

    Abstract: Objectives: Computational algorithms for the interpretation of laboratory test results can support physicians and specialists in laboratory medicine. The aim of this study was to develop, implement and evaluate a machine learning algorithm that ... ...

    Abstract Objectives: Computational algorithms for the interpretation of laboratory test results can support physicians and specialists in laboratory medicine. The aim of this study was to develop, implement and evaluate a machine learning algorithm that automatically assesses the risk of low body iron storage, reflected by low ferritin plasma levels, in anemic primary care patients using a minimal set of basic laboratory tests, namely complete blood count and C-reactive protein (CRP).
    Methods: Laboratory measurements of anemic primary care patients were used to develop and validate a machine learning algorithm. The performance of the algorithm was compared to twelve specialists in laboratory medicine from three large teaching hospitals, who predicted if patients with anemia have low ferritin levels based on laboratory test reports (complete blood count and CRP). In a second round of assessments the algorithm outcome was provided to the specialists in laboratory medicine as a decision support tool.
    Results: Two separate algorithms to predict low ferritin concentrations were developed based on two different chemistry analyzers, with an area under the curve of the ROC of 0.92 (Siemens) and 0.90 (Roche). The specialists in laboratory medicine were less accurate in predicting low ferritin concentrations compared to the algorithms, even when knowing the output of the algorithms as support tool. Implementation of the algorithm in the laboratory system resulted in one new iron deficiency diagnosis on average per day.
    Conclusions: Low ferritin levels in anemic patients can be accurately predicted using a machine learning algorithm based on routine laboratory test results. Moreover, implementation of the algorithm in the laboratory system reduces the number of otherwise unrecognized iron deficiencies.
    Mesh-Begriff(e) Humans ; Machine Learning ; Algorithms ; Iron Deficiencies ; Anemia/diagnosis ; C-Reactive Protein ; Ferritins
    Chemische Substanzen C-Reactive Protein (9007-41-4) ; Ferritins (9007-73-2)
    Sprache Englisch
    Erscheinungsdatum 2022-03-08
    Erscheinungsland Germany
    Dokumenttyp Journal Article
    ZDB-ID 1418007-8
    ISSN 1437-4331 ; 1434-6621 ; 1437-8523
    ISSN (online) 1437-4331
    ISSN 1434-6621 ; 1437-8523
    DOI 10.1515/cclm-2021-1194
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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