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  1. Article: Patient selection, inter-fraction plan robustness and reduction of toxicity risk with deep inspiration breath hold in intensity-modulated radiotherapy of locally advanced non-small cell lung cancer.

    Fjellanger, Kristine / Rossi, Linda / Heijmen, Ben J M / Pettersen, Helge Egil Seime / Sandvik, Inger Marie / Breedveld, Sebastiaan / Sulen, Turid Husevåg / Hysing, Liv Bolstad

    Frontiers in oncology

    2022  Volume 12, Page(s) 966134

    Abstract: Background: State-of-the-art radiotherapy of locally advanced non-small cell lung cancer (LA-NSCLC) is performed with intensity-modulation during free breathing (FB). Previous studies have found encouraging geometric reproducibility and patient ... ...

    Abstract Background: State-of-the-art radiotherapy of locally advanced non-small cell lung cancer (LA-NSCLC) is performed with intensity-modulation during free breathing (FB). Previous studies have found encouraging geometric reproducibility and patient compliance of deep inspiration breath hold (DIBH) radiotherapy for LA-NSCLC patients. However, dosimetric comparisons of DIBH with FB are sparse, and DIBH is not routinely used for this patient group. The objective of this simulation study was therefore to compare DIBH and FB in a prospective cohort of LA-NSCLC patients treated with intensity-modulated radiotherapy (IMRT).
    Methods: For 38 LA-NSCLC patients, 4DCTs and DIBH CTs were acquired for treatment planning and during the first and third week of radiotherapy treatment. Using automated planning, one FB and one DIBH IMRT plan were generated for each patient. FB and DIBH was compared in terms of dosimetric parameters and NTCP. The treatment plans were recalculated on the repeat CTs to evaluate robustness. Correlations between ΔNTCPs and patient characteristics that could potentially predict the benefit of DIBH were explored.
    Results: DIBH reduced the median D
    Conclusion: Compared to FB, DIBH allowed for smaller target volumes and similar target coverage. DIBH reduced the lung and heart dose, as well as the risk of radiation pneumonitis and 2-year mortality, for 92% and 74% of LA-NSCLC patients, respectively. However, the advantages varied considerably between patients, and the ability to reduce the risk of 2-year mortality was dependent on tumor location. Evaluation of repeat CTs showed similar robustness of the dose distributions with each technique.
    Language English
    Publishing date 2022-08-30
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2649216-7
    ISSN 2234-943X
    ISSN 2234-943X
    DOI 10.3389/fonc.2022.966134
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Improving knowledge-based treatment planning for lung cancer radiotherapy with automatic multi-criteria optimized training plans.

    Fjellanger, Kristine / Hordnes, Marte / Sandvik, Inger Marie / Sulen, Turid Husevåg / Heijmen, Ben J M / Breedveld, Sebastiaan / Rossi, Linda / Pettersen, Helge Egil Seime / Hysing, Liv Bolstad

    Acta oncologica (Stockholm, Sweden)

    2023  Volume 62, Issue 10, Page(s) 1194–1200

    Abstract: Background: Knowledge-based planning (KBP) is a method for automated radiotherapy treatment planning where appropriate optimization objectives for new patients are predicted based on a library of training plans. KBP can save time and improve organ at- ... ...

    Abstract Background: Knowledge-based planning (KBP) is a method for automated radiotherapy treatment planning where appropriate optimization objectives for new patients are predicted based on a library of training plans. KBP can save time and improve organ at-risk sparing and inter-patient consistency compared to manual planning, but its performance depends on the quality of the training plans. We used another system for automated planning, which generates multi-criteria optimized (MCO) plans based on a wish list, to create training plans for the KBP model, to allow seamless integration of knowledge from a new system into clinical routine. Model performance was compared for KBP models trained with manually created and automatic MCO treatment plans.
    Material and methods: Two RapidPlan models with the same 30 locally advanced non-small cell lung cancer patients included were created, one containing manually created clinical plans (RP_CLIN) and one containing fully automatic multi-criteria optimized plans (RP_MCO). For 15 validation patients, model performance was compared in terms of dose-volume parameters and normal tissue complication probabilities, and an oncologist performed a blind comparison of the clinical (CLIN), RP_CLIN, and RP_MCO plans.
    Results: The heart and esophagus doses were lower for RP_MCO compared to RP_CLIN, resulting in an average reduction in the risk of 2-year mortality by 0.9 percentage points and the risk of acute esophageal toxicity by 1.6 percentage points with RP_MCO. The oncologist preferred the RP_MCO plan for 8 patients and the CLIN plan for 7 patients, while the RP_CLIN plan was not preferred for any patients.
    Conclusion: RP_MCO improved OAR sparing compared to RP_CLIN and was selected for implementation in the clinic. Training a KBP model with clinical plans may lead to suboptimal output plans, and making an extra effort to optimize the library plans in the KBP model creation phase can improve the plan quality for many future patients.
    MeSH term(s) Humans ; Lung Neoplasms/radiotherapy ; Carcinoma, Non-Small-Cell Lung/radiotherapy ; Radiotherapy, Intensity-Modulated/methods ; Radiotherapy Dosage ; Radiotherapy Planning, Computer-Assisted/methods ; Organs at Risk
    Chemical Substances MCO (56369-20-1)
    Language English
    Publishing date 2023-08-17
    Publishing country England
    Document type Journal Article
    ZDB-ID 896449-x
    ISSN 1651-226X ; 0349-652X ; 0284-186X ; 1100-1704
    ISSN (online) 1651-226X
    ISSN 0349-652X ; 0284-186X ; 1100-1704
    DOI 10.1080/0284186X.2023.2238882
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  3. Article: Enhancing Radiotherapy for Locally Advanced Non-Small Cell Lung Cancer Patients with iCE, a Novel System for Automated Multi-Criterial Treatment Planning Including Beam Angle Optimization.

    Fjellanger, Kristine / Hysing, Liv Bolstad / Heijmen, Ben J M / Pettersen, Helge Egil Seime / Sandvik, Inger Marie / Sulen, Turid Husevåg / Breedveld, Sebastiaan / Rossi, Linda

    Cancers

    2021  Volume 13, Issue 22

    Abstract: In this study, the novel iCE radiotherapy treatment planning system (TPS) for automated multi-criterial planning with integrated beam angle optimization (BAO) was developed, and applied to optimize organ at risk (OAR) sparing and systematically ... ...

    Abstract In this study, the novel iCE radiotherapy treatment planning system (TPS) for automated multi-criterial planning with integrated beam angle optimization (BAO) was developed, and applied to optimize organ at risk (OAR) sparing and systematically investigate the impact of beam angles on radiotherapy dose in locally advanced non-small cell lung cancer (LA-NSCLC). iCE consists of an in-house, sophisticated multi-criterial optimizer with integrated BAO, coupled to a broadly used commercial TPS. The in-house optimizer performs fluence map optimization to automatically generate an intensity-modulated radiotherapy (IMRT) plan with optimal beam angles for each patient. The obtained angles and dose-volume histograms are then used to automatically generate the final deliverable plan with the commercial TPS. For the majority of 26 LA-NSCLC patients, iCE achieved improved heart and esophagus sparing compared to the manually created clinical plans, with significant reductions in the median heart D
    Language English
    Publishing date 2021-11-13
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2527080-1
    ISSN 2072-6694
    ISSN 2072-6694
    DOI 10.3390/cancers13225683
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  4. Article ; Online: Clinical iterative model development improves knowledge-based plan quality for high-risk prostate cancer with four integrated dose levels.

    Hundvin, Johanna Austrheim / Fjellanger, Kristine / Pettersen, Helge Egil Seime / Nygaard, Britt / Revheim, Kari / Sulen, Turid Husevåg / Ekanger, Christian / Hysing, Liv Bolstad

    Acta oncologica (Stockholm, Sweden)

    2020  Volume 60, Issue 2, Page(s) 237–244

    Abstract: Background: Manual volumetric modulated arc therapy (VMAT) treatment planning for high-risk prostate cancer receiving whole pelvic radiotherapy (WPRT) with four integrated dose levels is complex and time consuming. We have investigated if the ... ...

    Abstract Background: Manual volumetric modulated arc therapy (VMAT) treatment planning for high-risk prostate cancer receiving whole pelvic radiotherapy (WPRT) with four integrated dose levels is complex and time consuming. We have investigated if the radiotherapy planning process and plan quality can be improved using a well-tuned model developed through a commercial system for knowledge-based planning (KBP).
    Material and methods: Treatment plans from 69 patients treated for high-risk prostate cancer with manually planned VMAT were used to develop an initial KBP model (RapidPlan, RP). Prescribed doses were 50, 60, 67.5, and 72.5 Gy in 25 fractions to the pelvic lymph nodes, prostate and seminal vesicles, prostate gland, and prostate tumour(s), respectively. This RP model was in clinical use from July 2019 to February 2020, producing another set of 69 clinically delivered treatment plans for a new patient group, which were used to develop a second RP model. Both models were validated on an independent group of 40 patients. Plan quality was compared by
    Results: Target coverage and conformity was similar between manually created and RP treatment plans. Compared to the manually created treatment plans, the final RP model reduced average
    Conclusion: KBP improved plan quality and consistency among treatment plans for high-risk prostate cancer. Model tuning using KBP-based clinical plans further improved model outcome.
    MeSH term(s) Humans ; Male ; Organs at Risk ; Prostatic Neoplasms/radiotherapy ; Radiotherapy Dosage ; Radiotherapy Planning, Computer-Assisted ; Radiotherapy, Intensity-Modulated
    Language English
    Publishing date 2020-10-08
    Publishing country England
    Document type Journal Article
    ZDB-ID 896449-x
    ISSN 1651-226X ; 0349-652X ; 0284-186X ; 1100-1704
    ISSN (online) 1651-226X
    ISSN 0349-652X ; 0284-186X ; 1100-1704
    DOI 10.1080/0284186X.2020.1828619
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Impact of RBE variations on risk estimates of temporal lobe necrosis in patients treated with intensity-modulated proton therapy for head and neck cancer.

    Engeseth, Grete May / Hysing, Liv Bolstad / Yepes, Pablo / Pettersen, Helge Egil Seime / Mohan, Radhe / Fuller, Clifton Dave / Stokkevåg, Camilla Hanquist / Wu, Richard / Zhang, Xiaodong / Frank, Steven Jay / Gunn, Gary Brandon

    Acta oncologica (Stockholm, Sweden)

    2021  Volume 61, Issue 2, Page(s) 215–222

    Abstract: Background: Temporal lobe necrosis (TLN) is a potential late effect after radiotherapy for skull base head and neck cancer (HNC). Several photon-derived dose constraints and normal tissue complication probability (NTCP) models have been proposed, ... ...

    Abstract Background: Temporal lobe necrosis (TLN) is a potential late effect after radiotherapy for skull base head and neck cancer (HNC). Several photon-derived dose constraints and normal tissue complication probability (NTCP) models have been proposed, however variation in relative biological effectiveness (RBE) may challenge the applicability of these dose constraints and models in proton therapy. The purpose of this study was therefore to investigate the influence of RBE variations on risk estimates of TLN after Intensity-Modulated Proton Therapy for HNC.
    Material and methods: Seventy-five temporal lobes from 45 previously treated patients were included in the analysis. Sixteen temporal lobes had radiation associated Magnetic Resonance image changes (TLIC) suspected to be early signs of TLN. Fixed (RWD
    Results: RWD
    Conclusion: NTCP estimates were significantly influenced by RBE variations. D
    MeSH term(s) Head and Neck Neoplasms/radiotherapy ; Humans ; Necrosis ; Probability ; Proton Therapy/adverse effects ; Radiotherapy Dosage ; Radiotherapy Planning, Computer-Assisted ; Radiotherapy, Intensity-Modulated/adverse effects ; Relative Biological Effectiveness ; Temporal Lobe
    Language English
    Publishing date 2021-09-17
    Publishing country England
    Document type Journal Article
    ZDB-ID 896449-x
    ISSN 1651-226X ; 0349-652X ; 0284-186X ; 1100-1704
    ISSN (online) 1651-226X
    ISSN 0349-652X ; 0284-186X ; 1100-1704
    DOI 10.1080/0284186X.2021.1979248
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  6. Article ; Online: Mixed Effect Modeling of Dose and Linear Energy Transfer Correlations With Brain Image Changes After Intensity Modulated Proton Therapy for Skull Base Head and Neck Cancer.

    Engeseth, Grete May / He, Renjie / Mirkovic, Dragan / Yepes, Pablo / Mohamed, Abdallah Sherif Radwan / Stieb, Sonja / Fuller, Clifton Dave / Wu, Richard / Zhang, Xiadong / Hysing, Liv Bolstad / Pettersen, Helge Egil Seime / Stokkevåg, Camilla Hanquist / Mohan, Radhe / Frank, Steven Jay / Gunn, Gary Brandon

    International journal of radiation oncology, biology, physics

    2021  Volume 111, Issue 3, Page(s) 684–692

    Abstract: Purpose: Intensity modulated proton therapy (IMPT) could yield high linear energy transfer (LET) in critical structures and increased biological effect. For head and neck cancers at the skull base this could potentially result in radiation-associated ... ...

    Abstract Purpose: Intensity modulated proton therapy (IMPT) could yield high linear energy transfer (LET) in critical structures and increased biological effect. For head and neck cancers at the skull base this could potentially result in radiation-associated brain image change (RAIC). The purpose of the current study was to investigate voxel-wise dose and LET correlations with RAIC after IMPT.
    Methods and materials: For 15 patients with RAIC after IMPT, contrast enhancement observed on T1-weighted magnetic resonance imaging was contoured and coregistered to the planning computed tomography. Monte Carlo calculated dose and dose-averaged LET (LET
    Results: An overall statistically significant RAIC association with dose and LET
    Conclusions: Our results suggest that the LET
    MeSH term(s) Brain ; Head and Neck Neoplasms/diagnostic imaging ; Head and Neck Neoplasms/radiotherapy ; Humans ; Linear Energy Transfer ; Monte Carlo Method ; Proton Therapy ; Radiotherapy Dosage ; Radiotherapy Planning, Computer-Assisted ; Relative Biological Effectiveness ; Skull Base
    Language English
    Publishing date 2021-06-19
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 197614-x
    ISSN 1879-355X ; 0360-3016
    ISSN (online) 1879-355X
    ISSN 0360-3016
    DOI 10.1016/j.ijrobp.2021.06.016
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  7. Article ; Online: Optic nerve constraints for carbon ion RT at CNAO - Reporting and relating outcome to European and Japanese RBE.

    Dale, Jon Espen / Molinelli, Silvia / Vitolo, Viviana / Vischioni, Barbara / Bonora, Maria / Magro, Giuseppe / Pettersen, Helge Egil Seime / Mairani, Andrea / Hasegawa, Azusa / Dahl, Olav / Valvo, Francesca / Fossati, Piero

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

    2019  Volume 140, Page(s) 175–181

    Abstract: Background and purpose: Until now, carbon ion RT (CIRT) dose constraints for the optic nerve (ON) have only been validated and reported in the NIRS RBE-weighted dose (D: Material and methods: A total of 65 ONs from 38 patients treated with CIRT to ... ...

    Abstract Background and purpose: Until now, carbon ion RT (CIRT) dose constraints for the optic nerve (ON) have only been validated and reported in the NIRS RBE-weighted dose (D
    Material and methods: A total of 65 ONs from 38 patients treated with CIRT to the head and neck region in the period 2013-14 were analyzed. The absorbed dose (D
    Results: Median FU was 47 (26-67) months. Visual acuity was preserved for the 56 ONs in which the old constraints were respected. Three ONs developed visual decline at D
    Conclusion: New D
    MeSH term(s) Adolescent ; Adult ; Aged ; Aged, 80 and over ; Female ; Heavy Ion Radiotherapy/adverse effects ; Humans ; Male ; Middle Aged ; Optic Nerve/radiation effects ; Radiotherapy Dosage ; Relative Biological Effectiveness ; Young Adult
    Language English
    Publishing date 2019-07-13
    Publishing country Ireland
    Document type 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.2019.06.028
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  8. Article ; Online: Exploration of differentiability in a proton computed tomography simulation framework.

    Aehle, Max / Alme, Johan / Gábor Barnaföldi, Gergely / Blühdorn, Johannes / Bodova, Tea / Borshchov, Vyacheslav / van den Brink, Anthony / Eikeland, Viljar / Feofilov, Gregory / Garth, Christoph / Gauger, Nicolas R / Grøttvik, Ola / Helstrup, Håvard / Igolkin, Sergey / Keidel, Ralf / Kobdaj, Chinorat / Kortus, Tobias / Kusch, Lisa / Leonhardt, Viktor /
    Mehendale, Shruti / Ningappa Mulawade, Raju / Harald Odland, Odd / O'Neill, George / Papp, Gábor / Peitzmann, Thomas / Pettersen, Helge Egil Seime / Piersimoni, Pierluigi / Pochampalli, Rohit / Protsenko, Maksym / Rauch, Max / Ur Rehman, Attiq / Richter, Matthias / Röhrich, Dieter / Sagebaum, Max / Santana, Joshua / Schilling, Alexander / Seco, Joao / Songmoolnak, Arnon / Sudár, Ákos / Tambave, Ganesh / Tymchuk, Ihor / Ullaland, Kjetil / Varga-Kofarago, Monika / Volz, Lennart / Wagner, Boris / Wendzel, Steffen / Wiebel, Alexander / Xiao, RenZheng / Yang, Shiming / Zillien, Sebastian

    Physics in medicine and biology

    2023  Volume 68, Issue 24

    Abstract: Objective. ...

    Abstract Objective.
    MeSH term(s) Computer Simulation ; Protons ; Phantoms, Imaging ; Tomography, X-Ray Computed/methods ; Software ; Algorithms ; Monte Carlo Method
    Chemical Substances Protons
    Language English
    Publishing date 2023-12-15
    Publishing country England
    Document type Review ; Journal Article
    ZDB-ID 208857-5
    ISSN 1361-6560 ; 0031-9155
    ISSN (online) 1361-6560
    ISSN 0031-9155
    DOI 10.1088/1361-6560/ad0bdd
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  9. Article ; Online: Uncertainty-aware spot rejection rate as quality metric for proton therapy using a digital tracking calorimeter.

    Schilling, Alexander / Aehle, Max / Alme, Johan / Barnaföldi, Gergely Gábor / Bodova, Tea / Borshchov, Vyacheslav / van den Brink, Anthony / Eikeland, Viljar / Feofilov, Gregory / Garth, Christoph / Gauger, Nicolas R / Grøttvik, Ola / Helstrup, Håvard / Igolkin, Sergey / Keidel, Ralf / Kobdaj, Chinorat / Kortus, Tobias / Leonhardt, Viktor / Mehendale, Shruti /
    Ningappa Mulawade, Raju / Harald Odland, Odd / O'Neill, George / Papp, Gábor / Peitzmann, Thomas / Pettersen, Helge Egil Seime / Piersimoni, Pierluigi / Protsenko, Maksym / Rauch, Max / Ur Rehman, Attiq / Richter, Matthias / Röhrich, Dieter / Santana, Joshua / Seco, Joao / Songmoolnak, Arnon / Sudár, Ákos / Tambave, Ganesh / Tymchuk, Ihor / Ullaland, Kjetil / Varga-Kofarago, Monika / Volz, Lennart / Wagner, Boris / Wendzel, Steffen / Wiebel, Alexander / Xiao, RenZheng / Yang, Shiming / Zillien, Sebastian

    Physics in medicine and biology

    2023  Volume 68, Issue 19

    Abstract: Objective. ...

    Abstract Objective.
    MeSH term(s) Proton Therapy ; Uncertainty ; Protons ; Machine Learning ; Neural Networks, Computer
    Chemical Substances Protons
    Language English
    Publishing date 2023-09-20
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 208857-5
    ISSN 1361-6560 ; 0031-9155
    ISSN (online) 1361-6560
    ISSN 0031-9155
    DOI 10.1088/1361-6560/acf5c2
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  10. Article ; Online: Investigating particle track topology for range telescopes in particle radiography using convolutional neural networks.

    Pettersen, Helge Egil Seime / Aehle, Max / Alme, Johan / Barnaföldi, Gergely Gábor / Borshchov, Vyacheslav / van den Brink, Anthony / Chaar, Mamdouh / Eikeland, Viljar / Feofilov, Grigory / Garth, Christoph / Gauger, Nicolas R / Genov, Georgi / Grøttvik, Ola / Helstrup, Håvard / Igolkin, Sergey / Keidel, Ralf / Kobdaj, Chinorat / Kortus, Tobias / Leonhardt, Viktor /
    Mehendale, Shruti / Mulawade, Raju Ningappa / Odland, Odd Harald / Papp, Gábor / Peitzmann, Thomas / Piersimoni, Pierluigi / Protsenko, Maksym / Rehman, Attiq Ur / Richter, Matthias / Santana, Joshua / Schilling, Alexander / Seco, Joao / Songmoolnak, Arnon / Sølie, Jarle Rambo / Tambave, Ganesh / Tymchuk, Ihor / Ullaland, Kjetil / Varga-Kofarago, Monika / Volz, Lennart / Wagner, Boris / Wendzel, Steffen / Wiebel, Alexander / Xiao, RenZheng / Yang, Shiming / Yokoyama, Hiroki / Zillien, Sebastian / Röhrich, Dieter

    Acta oncologica (Stockholm, Sweden)

    2021  Volume 60, Issue 11, Page(s) 1413–1418

    Abstract: Background: Proton computed tomography (pCT) and radiography (pRad) are proposed modalities for improved treatment plan accuracy and : Material and methods: The CNN was trained by simulation and reconstruction of tens of millions of proton and helium ...

    Abstract Background: Proton computed tomography (pCT) and radiography (pRad) are proposed modalities for improved treatment plan accuracy and
    Material and methods: The CNN was trained by simulation and reconstruction of tens of millions of proton and helium tracks. The CNN filter was then compared to simple energy loss threshold methods using the Area Under the Receiver Operating Characteristics curve (AUROC), and by comparing the image quality and Water Equivalent Path Length (WEPL) error of proton and helium radiographs filtered with the same methods.
    Results: The CNN method led to a considerable improvement of the AUROC, from 74.3% to 97.5% with protons and from 94.2% to 99.5% with helium. The CNN filtering reduced the WEPL error in the helium radiograph from 1.03 mm to 0.93 mm while no improvement was seen in the CNN filtered pRads.
    Conclusion: The CNN improved the filtering of proton and helium tracks. Only in the helium radiograph did this lead to improved image quality.
    MeSH term(s) Humans ; Image Processing, Computer-Assisted ; Monte Carlo Method ; Neural Networks, Computer ; Phantoms, Imaging ; Radiography ; Telescopes
    Language English
    Publishing date 2021-07-14
    Publishing country England
    Document type Journal Article
    ZDB-ID 896449-x
    ISSN 1651-226X ; 0349-652X ; 0284-186X ; 1100-1704
    ISSN (online) 1651-226X
    ISSN 0349-652X ; 0284-186X ; 1100-1704
    DOI 10.1080/0284186X.2021.1949037
    Database MEDical Literature Analysis and Retrieval System OnLINE

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