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Featured researches published by Detlef Imhoff.


Radiotherapy and Oncology | 2016

Local tumor control probability modeling of primary and secondary lung tumors in stereotactic body radiotherapy

Matthias Guckenberger; Rainer J. Klement; Michael Allgäuer; Nicolaus Andratschke; Oliver Blanck; Judit Boda-Heggemann; Karin Dieckmann; Marciana Nona Duma; Iris Ernst; Ute Ganswindt; Peter Hass; Christoph Henkenberens; Richard Holy; Detlef Imhoff; H. Kahl; Robert Krempien; Fabian Lohaus; Ursula Nestle; Meinhard Nevinny-Stickel; Cordula Petersen; Sabine Semrau; Jan Streblow; Thomas G. Wendt; Andrea Wittig; Michael Flentje; Florian Sterzing

BACKGROUND AND PURPOSE To evaluate whether local tumor control probability (TCP) in stereotactic body radiotherapy (SBRT) varies between lung metastases of different primary cancer sites and between primary non-small cell lung cancer (NSCLC) and secondary lung tumors. MATERIALS AND METHODS A retrospective multi-institutional (n=22) database of 399 patients with stage I NSCLC and 397 patients with 525 lung metastases was analyzed. Irradiation doses were converted to biologically effective doses (BED). Logistic regression was used for local tumor control probability (TCP) modeling and the second-order bias corrected Akaike Information Criterion was used for model comparison. RESULTS After median follow-up of 19 months and 16 months (n.s.), local tumor control was observed in 87.7% and 86.7% of the primary and secondary lung tumors (n.s.), respectively. A strong dose-response relationship was observed in the primary NSCLC and metastatic cohort but dose-response relationships were not significantly different: the TCD90 (dose to achieve 90% TCP; BED of maximum planning target volume dose) estimates were 176 Gy (151-223) and 160 Gy (123-237) (n.s.), respectively. The dose-response relationship was not influenced by the primary cancer site within the metastatic cohort. CONCLUSIONS Dose-response relationships for local tumor control in SBRT were not different between lung metastases of various primary cancer sites and between primary NSCLC and lung metastases.


Lung Cancer | 2016

Stereotactic body radiotherapy (SBRT) for medically inoperable lung metastases—A pooled analysis of the German working group “stereotactic radiotherapy”

Juliane Rieber; Jan Streblow; Lorenz Uhlmann; Michael Flentje; Marciana Nona Duma; Iris Ernst; Oliver Blanck; A. Wittig; Judit Boda-Heggemann; Robert Krempien; Fabian Lohaus; N.D. Klass; Michael J. Eble; Detlef Imhoff; H. Kahl; Cordula Petersen; S. Gerum; Christoph Henkenberens; Sonja Adebahr; Peter Hass; Elsge Schrade; Thomas G. Wendt; Guido Hildebrandt; Nicolaus Andratschke; Florian Sterzing; Matthias Guckenberger

OBJECTIVES The current literature on stereotactic body radiotherapy (SBRT) for oligometastatic disease is characterized by small patient cohorts with heterogeneous primary tumors, metastases location and dose regimes. Hence, this study established a multi-institutional database of 700 patients treated with SBRT for pulmonary metastases to identify prognostic factors influencing survival and local control. MATERIALS AND METHODS All German radiotherapy departments were contacted and invited to participate in this analysis. A total number of 700 patients with medically inoperable lung metastases treated with SBRT in 20 centers between 1997 and 2014 were included in a database. Primary and metastatic tumor characteristics, treatment characteristics and follow-up data including survival, local control, distant metastases, and toxicity were evaluated. Lung metastases were treated with median PTV-encompassing single doses of 12.5Gy (range 3.0-33.0Gy) in a median number of 3 fractions (range 1-13). RESULTS After a median follow-up time of 14.3 months, 2-year local control (LC) and overall survival (OS) were 81.2% and 54.4%, respectively. In multivariate analysis, OS was most significantly influenced by pretreatment performance status, maximum metastasis diameter, primary tumor histology, time interval between primary tumor diagnosis and SBRT treatment and number of metastases. For LC, independent prognostic factors were pretreatment performance status, biological effective dose (BED) at PTV isocenter (BEDISO) and single fraction (PTV-encompassing) dose in multivariate analysis. Radiation-induced pneumonitis grade 2 or higher was observed in 6.5% of patients. The only factor significantly influencing toxicity was BEDISO (p=0.006). CONCLUSION SBRT for medically inoperable patients with pulmonary metastases achieved excellent local control and promising overall survival. Important prognostic factors were identified for selecting patients who might benefit most from this therapy approach.


Radiotherapy and Oncology | 2018

Stereotactic body radiotherapy (SBRT) for multiple pulmonary oligometastases: Analysis of number and timing of repeat SBRT as impact factors on treatment safety and efficacy

Rainer J. Klement; Juliane Hoerner-Rieber; S. Adebahr; Nicolaus Andratschke; Oliver Blanck; Judit Boda-Heggemann; Marciana Nona Duma; Michael J. Eble; H.C. Eich; Michael Flentje; S. Gerum; Peter Hass; Christoph Henkenberens; Guido Hildebrandt; Detlef Imhoff; K.H. Kahl; N.D. Klass; Robert Krempien; Fabian Lohaus; Cordula Petersen; E. Schrade; Thomas G. Wendt; A. Wittig; Matthias Guckenberger

BACKGROUND Stereotactic body radiotherapy (SBRT) for oligometastatic disease is characterized by an excellent safety profile; however, experiences are mostly based on treatment of one single metastasis. It was the aim of this study to evaluate safety and efficacy of SBRT for multiple pulmonary metastases. PATIENTS AND METHODS This study is based on a retrospective database of the DEGRO stereotactic working group, consisting of 637 patients with 858 treatments. Cox regression and logistic regression were used to analyze the association between the number of SBRT treatments or the number and the timing of repeat SBRT courses with overall survival (OS) and the risk of early death. RESULTS Out of 637 patients, 145 patients were treated for multiple pulmonary metastases; 88 patients received all SBRT treatments within one month whereas 57 patients were treated with repeat SBRT separated by at least one month. Median OS for the total patient population was 23.5 months and OS was not significantly influenced by the overall number of SBRT treatments or the number and timing of repeat SBRT courses. The risk of early death within 3 and 6 months was not increased in patients treated with multiple SBRT treatments, and no grade 4 or grade 5 toxicity was observed in these patients. CONCLUSIONS In appropriately selected patients, synchronous SBRT for multiple pulmonary oligometastases and repeat SBRT may have a comparable safety and efficacy profile compared to SBRT for one single oligometastasis.


Frontiers in Oncology | 2018

Clinical Results of Mean GTV Dose Optimized Robotic-Guided Stereotactic Body Radiation Therapy for Lung Tumors

René Baumann; M Chan; Florian Pyschny; Susanne Stera; Bettina Malzkuhn; Stefan Wurster; Stefan Huttenlocher; Marcella Szücs; Detlef Imhoff; Christian Keller; Panagiotis Balermpas; Dirk Rades; Claus Rödel; Jürgen Dunst; Guido Hildebrandt; Oliver Blanck

Introduction We retrospectively evaluated the efficacy and toxicity of gross tumor volume (GTV) mean dose optimized stereotactic body radiation therapy (SBRT) for primary and secondary lung tumors with and without robotic real-time motion compensation. Materials and methods Between 2011 and 2017, 208 patients were treated with SBRT for 111 primary lung tumors and 163 lung metastases with a median GTV of 8.2 cc (0.3–174.0 cc). Monte Carlo dose optimization was performed prioritizing GTV mean dose at the potential cost of planning target volume (PTV) coverage reduction while adhering to safe normal tissue constraints. The median GTV mean biological effective dose (BED)10 was 162.0 Gy10 (34.2–253.6 Gy10) and the prescribed PTV BED10 ranged 23.6–151.2 Gy10 (median, 100.8 Gy10). Motion compensation was realized through direct tracking (44.9%), fiducial tracking (4.4%), and internal target volume (ITV) concepts with small (≤5 mm, 33.2%) or large (>5 mm, 17.5%) motion. The local control (LC), progression-free survival (PFS), overall survival (OS), and toxicity were analyzed. Results Median follow-up was 14.5 months (1–72 months). The 2-year actuarial LC, PFS, and OS rates were 93.1, 43.2, and 62.4%, and the median PFS and OS were 18.0 and 39.8 months, respectively. In univariate analysis, prior local irradiation (hazard ratio (HR) 0.18, confidence interval (CI) 0.05–0.63, p = 0.01), GTV/PTV (HR 1.01–1.02, CI 1.01–1.04, p < 0.02), and PTV prescription, mean GTV, and maximum plan BED10 (HR 0.97–0.99, CI 0.96–0.99, p < 0.01) were predictive for LC while the tracking method was not (p = 0.97). For PFS and OS, multivariate analysis showed Karnofsky Index (p < 0.01) and tumor stage (p ≤ 0.02) to be significant factors for outcome prediction. Late radiation pneumonitis or chronic rip fractures grade 1–2 were observed in 5.3% of the patients. Grade ≥3 side effects did not occur. Conclusion Robotic SBRT is a safe and effective treatment for lung tumors. Reducing the PTV prescription and keeping high GTV mean doses allowed the reduction of toxicity while maintaining high local tumor control. The use of real-time motion compensation is strongly advised, however, well-performed ITV motion compensation may be used alternatively when direct tracking is not feasible.


Radiation Oncology | 2016

Clinical results of mean GTV dose optimized robotic guided SBRT for liver metastases

Nicolaus Andratschke; Alan Parys; Susanne Stadtfeld; Stefan Wurster; Stefan Huttenlocher; Detlef Imhoff; Müjdat Yildirim; Dirk Rades; Claus Rödel; Jürgen Dunst; Guido Hildebrandt; Oliver Blanck


International Journal of Radiation Oncology Biology Physics | 2017

Influence of Institutional Experience and Technological Advances on Outcome of Stereotactic Body Radiation Therapy for Oligometastatic Lung Disease.

Juliane Rieber; Nasrin Abbassi-Senger; Sonja Adebahr; Nicolaus Andratschke; Oliver Blanck; Marciana Nona Duma; Michael J. Eble; Iris Ernst; Michael Flentje; S. Gerum; Peter Hass; Christoph Henkenberens; Guido Hildebrandt; Detlef Imhoff; H. Kahl; N.D. Klass; Robert Krempien; Fabian Lohaus; Frank Lohr; Cordula Petersen; Elsge Schrade; Jan Streblow; Lorenz Uhlmann; A. Wittig; Florian Sterzing; Matthias Guckenberger


Journal of Applied Clinical Medical Physics | 2016

Inverse treatment planning for spinal robotic radiosurgery: an international multi-institutional benchmark trial

Oliver Blanck; L Wang; Wolfgang W. Baus; Jimm Grimm; T. Lacornerie; Joakim Nilsson; Sergii Luchkovskyi; Isabel Palazon Cano; Zhenyu Shou; Myriam Ayadi; Harald Treuer; Romain Viard; Frank-Andre Siebert; M Chan; Guido Hildebrandt; Jürgen Dunst; Detlef Imhoff; Stefan Wurster; Robert Wolff; Pantaleo Romanelli; E. Lartigau; Robert Semrau; Scott G. Soltys; Achim Schweikard


International Journal of Radiation Oncology Biology Physics | 2016

Bayesian Cure Rate Modeling of Local Tumor Control: Evaluation in Stereotactic Body Radiation Therapy for Pulmonary Metastases

Rainer J. Klement; Michael Allgäuer; Nicolaus Andratschke; Oliver Blanck; Judit Boda-Heggemann; Karin Dieckmann; Marciana Nona Duma; Iris Ernst; Michael Flentje; Ute Ganswindt; Peter Hass; Christoph Henkenberens; Detlef Imhoff; H. Kahl; Robert Krempien; Fabian Lohaus; Ursula Nestle; Meinhard Nevinny-Stickel; Cordula Petersen; Vanessa Schmitt; Sabine Semrau; Florian Sterzing; Jan Streblow; Thomas G. Wendt; Andrea Wittig; Matthias Guckenberger


Strahlentherapie Und Onkologie | 2018

Breathing-motion-compensated robotic guided stereotactic body radiation therapy

Susanne Stera; Panagiotis Balermpas; M Chan; Stefan Huttenlocher; Stefan Wurster; Christian Keller; Detlef Imhoff; Dirk Rades; Jürgen Dunst; Claus Rödel; Guido Hildebrandt; Oliver Blanck


Strahlentherapie Und Onkologie | 2014

New possibilities for volumetric-modulated arc therapy using the AgilityTM 160-leaf multileaf collimator

Nadine Blümer; Christian Scherf; Janett Köhn; Eugen Kara; Britta Loutfi-Krauß; Detlef Imhoff; Claus Rödel; Ulla Ramm; Jörg Licher

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A. Wittig

University of Marburg

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Fabian Lohaus

Dresden University of Technology

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