Emanuel Stutz

Dr. Emanuel Stutz


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 February 2018 in Acta Oncologica
Verified
Journal Article
Open access
Niloy Ranjan DattaNiloy Ranjan Datta
Niloy Ranjan Datta
ESEmanuel Stutz
Emanuel Stutz
SRSusanne Rogers
Susanne Rogers
Stephan BodisStephan Bodis
Stephan Bodis
Background: The α/β values for prostate cancer (PCa) are usually assumed to be low (1.0–1.8 Gy). This study estimated the α/β values of PCa from phase III randomized trials of conventional (CRT) versus hypofractionated (HRT) external beam radiotherapy (RT), reported as isoeffective in terms of their 5-year biochemical (BF) or biochemical and/or clinical failure (BCF) rates. Material and methods: The α/β for each trial was estimated from the equivalent biological effective doses using the linear-quadratic model for each of their HRT and CRT schedules. The cumulative outcomes of these trials were evaluated by meta-analysis for odds ratio (OR), risk ratio (RR) and risk difference (RD). Results: Eight trials from seven studies, randomized 6993 patients between CRT (n = 2941) and HRT (n = 4052). RT treatment varied between the two treatment groups in terms of dose/fraction, total dose, overall treatment time and %patients on androgen deprivation therapy (ADT). Differences in OR, RR, and RD for both BF and BCF were nonsignificant. The computed α/β ranged from 1.3 to 11.1 Gy (4.9 ± 3.9 Gy; 95% CI: 1.6–8.2). On multivariate regression, %ADT was the sole determinant of computed α/β (model R2: 0.98, p < .001). Conclusions: Clinically estimated α/β for PCa from isoeffective randomized trials using known variables in the linear-quadratic expression ranged between 1.3 and 11.1 Gy. The estimated α/β values were inversely related to %ADT usage, which should be considered when planning future RT dose-fractionation schedules.


3 August 2021 in Cancers
Verified
Journal Article
Open access
PDF file
MNMarkus Notter
Markus Notter
ESEmanuel Stutz
Emanuel Stutz
ATAndreas Thomsen
Andreas Thomsen
PVPeter Vaupel
Peter Vaupel
Background: Radiation-associated angiosarcoma of the breast (RAASB) is a rare, challenging disease, with surgery being the accepted basic therapeutic approach. In contrast, the role of adjuvant and systemic therapies is a subject of some controversy. Local recurrence rates reported in the literature are mostly heterogeneous and are highly dependent on the extent of surgery. In cases of locally recurrent or unresectable RAASB, prognosis is very poor. Methods: We retrospectively report on 10 consecutive RAASB patients, most of them presenting with locally recurrent or unresectable RAASB, which were treated with thermography-controlled water-filtered infrared-A (wIRA) superficial hyperthermia (HT) immediately followed by re-irradiation (re-RT). Patients with RAASB were graded based on their tumor extent before onset of radiotherapy (RT). Results: We recorded a local control (LC) rate dependent on tumor extent ranging from a high LC rate of 100% (two of two patients) in the adjuvant setting with an R0 or R2 resection to a limited LC rate of 33% (one of three patients) in patients with inoperable, macroscopic tumor lesions. Conclusion: Combined HT and re-RT should be considered as an option (a) for adjuvant treatment of RAASB, especially in cases with positive resection margins and after surgery of local recurrence (LR), and (b) for definitive treatment of unresectable RAASB.

24 February 2022 in Cancers
Verified
Journal Article
Open access
PDF file
ESEmanuel Stutz
Emanuel Stutz
EPEmsad Puric
Emsad Puric
AAAdela Ademaj
Adela Ademaj
AKArnaud Künzi
Arnaud Künzi
RKReinhardt Krcek
Reinhardt Krcek
Oliver RiestererOliver Riesterer
Oliver Riesterer
Background: Moderate hyperthermia is a potent and evidence-based radiosensitizer. Several indications are reimbursed for the combination of deep hyperthermia with radiotherapy (dHT+RT). We evaluated the current practice of dHT+RT in Switzerland. Methods: All indications presented to the national hyperthermia tumor board for dHT between January 2017 and June 2021 were evaluated and treatment schedules were analyzed using descriptive statistics. Results: Of 183 patients presented at the hyperthermia tumor board, 71.6% were accepted and 54.1% (99/183) finally received dHT. The most commonly reimbursed dHT indications were “local recurrence and compression” (20%), rectal (14.7%) and bladder (13.7%) cancer, respectively. For 25.3% of patients, an individual request for insurance cover was necessary. 47.4% of patients were treated with curative intent; 36.8% were in-house patients and 63.2% were referred from other hospitals. Conclusions: Approximately two thirds of patients were referred for dHT+RT from external hospitals, indicating a general demand for dHT in Switzerland. The patterns of care were diverse with respect to treatment indication. To the best of our knowledge, this study shows for the first time the pattern of care in a national cohort treated with dHT+RT. This insight will serve as the basis for a national strategy to evaluate and expand the evidence for dHT.


26 March 2026 in medRxiv
Verified
Preprint
Open access
PDF file
FDFabio Dennstädt
Fabio Dennstädt
NCNikola Cihoric
Nikola Cihoric
NBNicolas Bachmann
Nicolas Bachmann
IFIrina Filchenko
Irina Filchenko
LBLuc Maxime Berclaz
Luc Maxime Berclaz
ESEmanuel Stutz
Emanuel Stutz
Background: Large Language Models (LLMs) have demonstrated expert-level performance across many medical domains, suggesting potential utility in clinical practice. However, their reliability in the highly specialized domain of moderate hyperthermia (HT) remains unknown. We therefore evaluated the performance of three modern LLMs in answering HT-related questions. Methods: We conducted an evaluation study by posing 40 open-ended questions—22 clinical and 18 physics-related—to three modern LLMs (DeepSeek-V3, Llama-3.3-70B-Instruct, and GPT-4o). Responses were blinded, randomized, and evaluated by 19 international experts with either a clinical or physics background for quality (5-point Likert scale: 1=very bad, 2=bad, 3=acceptable, 4=good to 5=very good) and for potential harmfulness in clinical decision-making. Results: A total of 1144 quality evaluation responses were collected. Overall reported mean quality scores were similar across models, with DeepSeek scoring 3.26, Llama 3.18, and GPT-4o 3.07, corresponding to an “acceptable” rating. Across expert evaluations, responses were considered potentially harmful in 17.8% of cases for DeepSeek, 19.3% for Llama, and 15.3% for GPT-4o. Notably, despite “acceptable” mean scores, approximately 25% of responses were rated “bad” to “very bad,” and potentially harmful answers occurred in ∼15–19% of evaluations, indicating a non-trivial risk if used without domain expertise. Conclusion: Our findings indicate that the performance of LLMs in HT in versions available at the time of investigation is only partially satisfactory. The proportion of poor-quality responses is too high and may lead non-domain experts to misinterpret the available clinical evidence and draw inappropriate clinical conclusions.