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Your search keyword '"Theuws, Jacqueline"' showing total 29 results
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29 results on '"Theuws, Jacqueline"'

5. Breast conserving surgery with intraoperative electron beam radiation therapy for low‐risk breast cancer: Five‐year follow‐up of 306 patients.

Author

de Jonge, Charlotte, Schipper, Robert‐Jan, Walstra, Coco J. E. F., Van Riet, Yvonne E., Verrijssen, An‐Sofie E., Voogd, Adri C., van der Sangen, Maurice J. C., Theuws, Jacqueline, Degreef, Ellen, Gielens, Maaike P. M., Bloemen, Johanne G., van den Berg, Hetty A., and Nieuwenhuijzen, Grard A. P.

Subjects
SENTINEL lymph node biopsy, PATIENT selection, ELECTRON beams, BREAST surgery, DISEASE relapse
Abstract

Recent studies have reported a higher than expected risk of ipsilateral breast tumor recurrence (IBTR) after breast conserving surgery (BCS) and a single dose of electron beam intra‐operative radiotherapy (IORT). This finding was the rationale to perform a retrospective single center cohort study evaluating the oncologic results of consecutive patients treated with BCS and IORT. Women were eligible if they had clinical low‐risk (N0, ≤2 cm unifocal, Bloom and Richardson grade 1–2), estrogen receptor‐positive and human‐epidermal‐growth‐factor‐receptor‐2‐negative breast cancer. Prior to BCS, pN0 status was determined by sentinel lymph node biopsy. Data on oncologic follow‐up were analyzed. Between 2012 and 2019, 306 consecutive patients were treated and analyzed, with a median age of 67 (50–86) years at diagnosis. Median follow‐up was 60 (8–120) months. Five‐year cumulative risk of IBTR was 13.4% (95% confidence interval [CI] 9.4–17.4). True in field recurrence was present in 3.9% of the patients. In 4.6% of the patients, the IBRT was classified as a local recurrence due to seeding of tumor cells in the cutis or subcutis most likely related to percutaneous biopsy. In 2.9% of the patients, the IBRT was a new outfield primary tumor. Three patients had a regional lymph node recurrence and two had distant metastases as first event. One breast cancer‐related death was observed. Estimated 5‐year overall survival was 89.8% (95% CI 86.0–93.6). In conclusion, although some of IBTR cases could have been prevented by adaptations in biopsy techniques and patient selection, BCS followed by IORT was associated with a substantial risk of IBTR. [ABSTRACT FROM AUTHOR]

Published
2024
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7. Radiotherapy quality assurance for mesorectum treatment planning within the multi-center phase II STAR-TReC trial: Dutch results

Author

van den Ende, Roy P. J., Peters, Femke P., Harderwijk, Ernst, Rütten, Heidi, Bouwmans, Liza, Berbee, Maaike, Canters, Richard A. M., Stoian, Georgiana, Compagner, Kim, Rozema, Tom, de Smet, Mariska, Intven, Martijn P. W., Tijssen, Rob H. N., Theuws, Jacqueline, van Haaren, Paul, van Triest, Baukelien, Eekhout, Dave, Marijnen, Corrie A. M., van der Heide, Uulke A., and Kerkhof, Ellen M.

Published
2020
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8. Clinical evaluation of a deep learning segmentation model including manual adjustments afterwards for locally advanced breast cancer

Author

Bakx, Nienke, primary, Rijkaart, Dorien, additional, van der Sangen, Maurice, additional, Theuws, Jacqueline, additional, van der Toorn, Peter-Paul, additional, Verrijssen, An-Sofie, additional, van der Leer, Jorien, additional, Mutsaers, Joline, additional, van Nunen, Thérèse, additional, Reinders, Marjon, additional, Schuengel, Inge, additional, Smits, Julia, additional, Hagelaar, Els, additional, van Gruijthuijsen, Dave, additional, Bluemink, Hanneke, additional, and Hurkmans, Coen, additional

Published
2023
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10. Narrowing the difference in dose delivery for IOERT and IOBT for locally advanced and locally recurrent rectal cancer

Author

Verrijssen, An-Sofie E, Dries, Wim J F, Cnossen, Jeltsje S, Theuws, Jacqueline, Peulen, Heike M U, van den Berg, Hetty A, Rijkaart, Dorien C, Voogt, Eva L K, Kolkman-Deurloo, Inger-Karine, Nuyttens, Joost, Rutten, Harm J T, Burger, Jacobus W A, Bimmel-Nagel, Cathryn Huibregtse, Radiation Oncology, Radiotherapie, RS: GROW - R3 - Innovative Cancer Diagnostics & Therapy, RS: GROW - R2 - Basic and Translational Cancer Biology, and Surgery

Subjects
Oncology, SDG 3 - Good Health and Well-being, Radiology, Nuclear Medicine and imaging
Abstract

Purpose: Intra-operative radiotherapy (IORT) has been used as a tool to provide a high-dose radiation boost to a limited volume of patients with fixed tumors with a likelihood of microscopically involved resection margins, in order to improve local control. Two main techniques to deliver IORT include high-dose-rate (HDR) brachytherapy, termed 'intra-operative brachytherapy' (IOBT), and electrons, termed 'intra-operative electron radiotherapy' (IOERT), both having very different dose distributions. A recent paper described an improved local recurrence-free survival favoring IOBT over IOERT for patients with locally advanced or recurrent rectal cancer and microscopically irradical resections. Although several factors may have contributed to this result, an important difference between the two techniques was the higher surface dose delivered by IOBT. This article described an adaptation of IOERT technique to achieve a comparable surface dose as dose delivered by IOBT.Material and methods: Two steps were taken to increase the surface dose for IOERT: 1. Introducing a bolus to achieve a maximum dose on the surface, and 2. Re-normalizing to allow for the same prescribed dose at reference depth.Conclusions: We describe and propose an adaptation of IOERT technique to increase surface dose, decreasing the differences between these two techniques, with the aim of further improving local control. In addition, an alternative method of dose prescription is suggested, to consider improved comparison with other techniques in the future.

Published
2022

11. Narrowing the difference in dose delivery for IOERT and IOBT for locally advanced and locally recurrent rectal cancer

Author

Verrijssen, An Sofie E., Dries, Wim J.F., Cnossen, Jeltsje S., Theuws, Jacqueline, Peulen, Heike M.U., van den Berg, Hetty A., Rijkaart, Dorien C., Voogt, Eva L.K., Kolkman-Deurloo, Inger Karine, Nuyttens, Joost, Rutten, Harm J.T., Burger, Jacobus W.A., Bimmel-Nagel, Cathryn Huibregtse, Verrijssen, An Sofie E., Dries, Wim J.F., Cnossen, Jeltsje S., Theuws, Jacqueline, Peulen, Heike M.U., van den Berg, Hetty A., Rijkaart, Dorien C., Voogt, Eva L.K., Kolkman-Deurloo, Inger Karine, Nuyttens, Joost, Rutten, Harm J.T., Burger, Jacobus W.A., and Bimmel-Nagel, Cathryn Huibregtse

Abstract

Purpose: Intra-operative radiotherapy (IORT) has been used as a tool to provide a high-dose radiation boost to a limited volume of patients with fixed tumors with a likelihood of microscopically involved resection margins, in order to improve local control. Two main techniques to deliver IORT include high-dose-rate (HDR) brachytherapy, termed ‘intra-operative brachytherapy’ (IOBT), and electrons, termed ‘intra-operative electron radiotherapy’ (IOERT), both having very different dose distributions. A recent paper described an improved local recurrence-free survival favoring IOBT over IOERT for patients with locally advanced or recurrent rectal cancer and microscopically irradical resections. Although several factors may have contributed to this result, an important difference between the two techniques was the higher surface dose delivered by IOBT. This article described an adaptation of IOERT technique to achieve a comparable surface dose as dose delivered by IOBT. Material and methods: Two steps were taken to increase the surface dose for IOERT: 1. Introducing a bolus to achieve a maximum dose on the surface, and 2. Re-normalizing to allow for the same prescribed dose at reference depth. Conclusions: We describe and propose an adaptation of IOERT technique to increase surface dose, decreasing the differences between these two techniques, with the aim of further improving local control. In addition, an alternative method of dose prescription is suggested, to consider improved comparison with other techniques in the future.

Published
2022

13. Additional file 1 of Clinical evaluation of two AI models for automated breast cancer plan generation

Author

Kneepkens, Esther, Bakx, Nienke, van der Sangen, Maurice, Theuws, Jacqueline, van der Toorn, Peter-Paul, Rijkaart, Dorien, van der Leer, Jorien, van Nunen, Th��r��se, Hagelaar, Els, Bluemink, Hanneke, and Hurkmans, Coen

Subjects
ComputingMethodologies_DOCUMENTANDTEXTPROCESSING
Abstract

Additional file 1. Content: more elaborate model description and additional figures and tables as referenced to in the main manuscript text.

Published
2022
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15. Radiotherapy quality assurance for mesorectum treatment planning within the multi-center phase II STAR-TReC trial : Dutch results

Author

Van Den Ende, Roy P.J., Peters, Femke P., Harderwijk, Ernst, Rütten, Heidi, Bouwmans, Liza, Berbee, Maaike, Canters, Richard A.M., Stoian, Georgiana, Compagner, Kim, Rozema, Tom, De Smet, Mariska, Intven, Martijn P.W., Tijssen, Rob H.N., Theuws, Jacqueline, Van Haaren, Paul, Van Triest, Baukelien, Eekhout, Dave, Marijnen, Corrie A.M., Van Der Heide, Uulke A., Kerkhof, Ellen M., Van Den Ende, Roy P.J., Peters, Femke P., Harderwijk, Ernst, Rütten, Heidi, Bouwmans, Liza, Berbee, Maaike, Canters, Richard A.M., Stoian, Georgiana, Compagner, Kim, Rozema, Tom, De Smet, Mariska, Intven, Martijn P.W., Tijssen, Rob H.N., Theuws, Jacqueline, Van Haaren, Paul, Van Triest, Baukelien, Eekhout, Dave, Marijnen, Corrie A.M., Van Der Heide, Uulke A., and Kerkhof, Ellen M.

Published
2020

16. Radiotherapy quality assurance for mesorectum treatment planning within the multi-center phase II STAR-TReC trial: Dutch results

Author

MS Radiotherapie, Cancer, Klinische Fysica RT, Van Den Ende, Roy P.J., Peters, Femke P., Harderwijk, Ernst, Rütten, Heidi, Bouwmans, Liza, Berbee, Maaike, Canters, Richard A.M., Stoian, Georgiana, Compagner, Kim, Rozema, Tom, De Smet, Mariska, Intven, Martijn P.W., Tijssen, Rob H.N., Theuws, Jacqueline, Van Haaren, Paul, Van Triest, Baukelien, Eekhout, Dave, Marijnen, Corrie A.M., Van Der Heide, Uulke A., Kerkhof, Ellen M., MS Radiotherapie, Cancer, Klinische Fysica RT, Van Den Ende, Roy P.J., Peters, Femke P., Harderwijk, Ernst, Rütten, Heidi, Bouwmans, Liza, Berbee, Maaike, Canters, Richard A.M., Stoian, Georgiana, Compagner, Kim, Rozema, Tom, De Smet, Mariska, Intven, Martijn P.W., Tijssen, Rob H.N., Theuws, Jacqueline, Van Haaren, Paul, Van Triest, Baukelien, Eekhout, Dave, Marijnen, Corrie A.M., Van Der Heide, Uulke A., and Kerkhof, Ellen M.

Published
2020

17. P2.05-040 Interobserver Variability in the Definition of the Primary Lung Cancer and Lymph Nodes on Different 4DCT Reconstructions

Author

Mercieca, Susan, primary, De Jaeger, Katrien, additional, Schinagl, Dominic, additional, Van Der Voort Van Zijp, Noëlle, additional, Pomp, Jacqueline, additional, Khalifa, Jonathan, additional, Van De Vaart, Paul, additional, Theuws, Jacqueline, additional, Belderbos, José, additional, and Van Herk, Marcel, additional

Published
2017
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18. Cardiovascular Disease Risk in a Large, Population-Based Cohort of Breast Cancer Survivors

Author

Boekel, Naomi B., primary, Schaapveld, Michael, additional, Gietema, Jourik A., additional, Russell, Nicola S., additional, Poortmans, Philip, additional, Theuws, Jacqueline C.M., additional, Schinagl, Dominic A.X., additional, Rietveld, Derek H.F., additional, Versteegh, Michel I.M., additional, Visser, Otto, additional, Rutgers, Emiel J.T., additional, Aleman, Berthe M.P., additional, and van Leeuwen, Flora E., additional

Published
2016
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19. Feasibility of Pathology-Correlated Lung Imaging for Accurate Target Definition of Lung Tumors

Author

Stroom, Joep, primary, Blaauwgeers, Hans, additional, van Baardwijk, Angela, additional, Boersma, Liesbeth, additional, Lebesque, Joos, additional, Theuws, Jacqueline, additional, van Suylen, Robert-Jan, additional, Klomp, Houke, additional, Liesker, Koen, additional, van Pel, Renée, additional, Siedschlag, Christian, additional, and Gilhuijs, Kenneth, additional

Published
2007
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24. Radiation pneumonitis as a function of mean lung dose: an analysis of pooled data of 540 patients

Author

Kwa, Stefan L.S., primary, Lebesque, Joos V., additional, Theuws, Jacqueline C.M., additional, Marks, Lawrence B., additional, Munley, Mike T., additional, Bentel, Gunilla, additional, Oetzel, Dieter, additional, Spahn, Uwe, additional, Graham, Mary V., additional, Drzymala, Robert E., additional, Purdy, James A., additional, Lichter, Allen S., additional, Martel, Mary K., additional, and Ten Haken, Randall K., additional

Published
1998
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29. Comparison of the use of a clinically implemented deep learning segmentation model with the simulated study setting for breast cancer patients receiving radiotherapy.

Author

Bakx N, Van der Sangen M, Theuws J, Bluemink J, and Hurkmans C

Subjects
Humans, Female, Pilot Projects, Retrospective Studies, Middle Aged, Breast Neoplasms radiotherapy, Breast Neoplasms pathology, Deep Learning, Radiotherapy Planning, Computer-Assisted methods, Organs at Risk radiation effects
Abstract

Background: Deep learning (DL) models for auto-segmentation in radiotherapy have been extensively studied in retrospective and pilot settings. However, these studies might not reflect the clinical setting. This study compares the use of a clinically implemented in-house trained DL segmentation model for breast cancer to a previously performed pilot study to assess possible differences in performance or acceptability., Material and Methods: Sixty patients with whole breast radiotherapy, with or without an indication for locoregional radiotherapy were included. Structures were qualitatively scored by radiotherapy technologists and radiation oncologists. Quantitative evaluation was performed using dice-similarity coefficient (DSC), 95th percentile of Hausdorff Distance (95%HD) and surface DSC (sDSC), and time needed for generating, checking, and correcting structures was measured., Results: Ninety-three percent of all contours in clinic were scored as clinically acceptable or usable as a starting point, comparable to 92% achieved in the pilot study. Compared to the pilot study, no significant changes in time reduction were achieved for organs at risks (OARs). For target volumes, significantly more time was needed compared to the pilot study for patients including lymph node levels 1-4, although time reduction was still 33% compared to manual segmentation. Almost all contours have better DSC and 95%HD than inter-observer variations. Only CTVn4 scored worse for both metrics, and the thyroid had a higher 95%HD value., Interpretation: The use of the DL model in clinical practice is comparable to the pilot study, showing high acceptability rates and time reduction.

Published
2024
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