David Tuch
University of Hertfordshire
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Featured researches published by David Tuch.
Clinical and Translational Imaging | 2016
Maarten Grootendorst; Maurizio Cariati; Ashutosh S. Kothari; David Tuch; Anusha Purushotham
Cerenkov luminescence imaging (CLI) is a novel molecular optical imaging technique based on the detection of optical Cerenkov photons emitted by positron emission tomography (PET) imaging agents. The ability to use clinically approved tumour-targeted tracers in combination with small-sized imaging equipment makes CLI a particularly interesting technique for image-guided cancer surgery. The past few years have witnessed a rapid increase in proof-of-concept preclinical studies in this field, and several clinical trials are currently underway. This article provides an overview of the basic principles of Cerenkov radiation and outlines the challenges of CLI-guided surgery for clinical use. The preclinical and clinical trial literature is examined including applications focussed on image-guided lymph node detection and Cerenkov luminescence endoscopy, and the ongoing clinical studies and technological developments are highlighted. By intraoperatively guiding the oncosurgeon towards more accurate and complete resections, CLI has the potential to transform current surgical practice, and improve oncological and cosmetic outcomes for patients.
The Journal of Nuclear Medicine | 2017
Maarten Grootendorst; Massimiliano Cariati; Sarah Pinder; Ashutosh Kothari; Michael Douek; Tibor Kovacs; H Hamed; Amit Pawa; Fiona Nimmo; Julie Owen; Vernie Ramalingam; Sweta Sethi; Sanjay Mistry; Kunal Vyas; David Tuch; Alan Britten; Mieke Van Hemelrijck; Gary Cook; Chris Sibley-Allen; Sarah Allen; Arnie Purushotham
In early-stage breast cancer, the primary treatment option for most women is breast-conserving surgery (BCS). There is a clear need for more accurate techniques to assess resection margins intraoperatively, because on average 20% of patients require further surgery to achieve clear margins. Cerenkov luminescence imaging (CLI) combines optical and molecular imaging by detecting light emitted by 18F-FDG. Its high-resolution and small size imaging equipment make CLI a promising technology for intraoperative margin assessment. A first-in-human study was conducted to evaluate the feasibility of 18F-FDG CLI for intraoperative assessment of tumor margins in BCS. Methods: Twenty-two patients with invasive breast cancer received 18F-FDG (5 MBq/kg) 45–60 min before surgery. Sentinel lymph node biopsy was performed using an increased 99mTc-nanocolloid activity of 150 MBq to facilitate nodal detection against the γ-probe background signal (cross-talk) from 18F-FDG. The cross-talk and 99mTc dose required was evaluated in 2 lead-in studies. Immediately after excision, specimens were imaged intraoperatively in an investigational CLI system. The first 10 patients were used to optimize the imaging protocol; the remaining 12 patients were included in the analysis dataset. Cerenkov luminescence images from incised BCS specimens were analyzed postoperatively by 2 surgeons blinded to the histopathology results, and mean radiance and margin distance were measured. The agreement between margin distance on CLI and histopathology was assessed. Radiation doses to staff were measured. Results: Ten of the 12 patients had an elevated tumor radiance on CLI. Mean radiance and tumor-to-background ratio were 560 ± 160 photons/s/cm2/sr and 2.41 ± 0.54, respectively. All 15 assessable margins were clear on CLI and histopathology. The agreement in margin distance and interrater agreement was good (κ = 0.81 and 0.912, respectively). Sentinel lymph nodes were successfully detected in all patients. The radiation dose to staff was low; surgeons received a mean dose of 34 ± 15 μSv per procedure. Conclusion: Intraoperative 18F-FDG CLI is a promising, low-risk technique for intraoperative assessment of tumor margins in BCS. A randomized controlled trial will evaluate the impact of this technique on reexcision rates.
Molecular-Guided Surgery: Molecules, Devices, and Applications IV | 2018
Thomy Mertzanidou; Kunal Vyas; Maarten Grootendorst; David Tuch; Danail Stoyanov; Simon R. Arridge; Sven Macholl
Autoradiography potentially offers high molecular sensitivity and spatial resolution for tumor margin estimation. However, conventional autoradiography requires sectioning the sample which is destructive and labor-intensive. Here we describe a novel autoradiography technique that uses a flexible ultra-thin scintillator which conforms to the sample surface. Imaging with the flexible scintillator enables direct, high-resolution and high-sensitivity imaging of beta particle emissions from targeted radiotracers. The technique has the potential to identify positive tumor margins in fresh unsectioned samples during surgery, eliminating the processing time demands of conventional autoradiography. We demonstrate the feasibility of the flexible autoradiography approach to directly image the beta emissions from radiopharmaceuticals using lab experiments and GEANT-4 simulations to determine i) the specificity for 18F compared to 99mTc-labeled tracers ii) the sensitivity to detect signal from various depths within the tissue. We found that an image resolution of 1.5 mm was achievable with a scattering background and we estimate a minimum detectable activity concentration of 0.9 kBq/ml for 18F. We show that the flexible autoradiography approach has high potential as a technique for molecular imaging of tumor margins using 18F-FDG in a tumor xenograft mouse model imaged with a radiation-shielded EMCCD camera. Due to the advantage of conforming to the specimen, the flexible scintillator showed significantly better image quality in terms of tumor signal to whole-body background noise compared to rigid and optimally thick CaF2:Eu and BC400. The sensitivity of the technique means it is suitable for clinical translation.
Archive | 2013
David Tuch; Nicholas Collier; Kunal Vyas; Euan Morrison
Ejso | 2015
Constance Michel; Alex Freeman; Charles Jameson; Wendy Waddington; David Tuch; Morten Harboe; Paul Cathcart
Archive | 2013
David Tuch; Nicholas Collier; Kunal Vyas; Euan Morrison
Ejso | 2015
Maarten Grootendorst; Ashutosh Kothari; Massimiliano Cariati; Hisham Hamed; Michael Douek; Tibor Kovacs; Gary Cook; Sarah Allen; Chris Sibley-Allen; Alan J. Britten; Amit Pawa; Fiona Nimmo; Kunal Vyas; David Tuch; Sarah Pinder; Arnie Purushotham
Ejso | 2016
Massimiliano Cariati; Maarten Grootendorst; Ashutosh Kothari; Michael Douek; Tibor Kovacs; Hisham Hamed; Amit Pawa; Fiona Nimmo; Vernie Ramalingam; Sweta Sethi; Sanjay Mistry; Kunal Vyas; David Tuch; Alan Britten; Mieke Van Hemelrijck; Gary Cook; Sarah Allen; Christopher Sibley-Allen; Sarah Pinder; Arnie Purushotham
Archive | 2015
Alan Green; Vyas Kunal; David Tuch
Archive | 2015
David Tuch; Kunal Vyas; Alan Green