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Dive into the research topics where M. Romanchikova is active.

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Featured researches published by M. Romanchikova.


British Journal of Radiology | 2015

Accumulated dose to the rectum, measured using dose–volume histograms and dose-surface maps, is different from planned dose in all patients treated with radiotherapy for prostate cancer

J.E. Scaife; S.J. Thomas; K. Harrison; M. Romanchikova; M.P.F. Sutcliffe; Julia R. Forman; A.M. Bates; Raj Jena; M Andrew Parker; N.G. Burnet

Objective: We sought to calculate accumulated dose (DA) to the rectum in patients treated with radiotherapy for prostate cancer. We were particularly interested in whether dose–surface maps (DSMs) provide additional information to dose–volume histograms (DVHs). Methods: Manual rectal contours were obtained for kilovoltage and daily megavoltage CT scans for 10 participants from the VoxTox study (380 scans). Daily delivered dose recalculation was performed using a ray-tracing algorithm. Delivered DVHs were summated to create accumulated DVHs. The rectum was considered as a cylinder, cut and unfolded to produce daily delivered DSMs; these were summated to produce accumulated DSMs. Results: Accumulated dose-volumes were different from planned in all participants. For one participant, all DA levels were higher and all volumes were larger than planned. For four participants, all DA levels were lower and all volumes were smaller than planned. For each of these four participants, ≥1% of pixels on the accumulated DSM received ≥5 Gy more than had been planned. Conclusion: Differences between accumulated and planned dose-volumes were seen in all participants. DSMs were able to identify differences between DA and planned dose that could not be appreciated from the DVHs. Further work is needed to extract the dose data embedded in the DSMs. These will be correlated with toxicity as part of the VoxTox Programme. Advances in knowledge: DSMs are able to identify differences between DA and planned dose that cannot be appreciated from DVHs alone and should be incorporated into future studies investigating links between DA and toxicity.


British Journal of Radiology | 2014

Random variation in rectal position during radiotherapy for prostate cancer is two to three times greater than that predicted from prostate motion

J.E. Scaife; K. Harrison; M. Romanchikova; A Parker; M.P.F. Sutcliffe; Simon Bond; S.J. Thomas; Sue Freeman; R. Jena; A.M. Bates; N.G. Burnet

Objective: Radiotherapy for prostate cancer does not explicitly take into account daily variation in the position of the rectum. It is important to accurately assess accumulated dose (DA) to the rectum in order to understand the relationship between dose and toxicity. The primary objective of this work was to quantify systematic (Σ) and random (σ) variation in the position of the rectum during a course of prostate radiotherapy. Methods: The rectum was manually outlined on the kilo-voltage planning scan and 37 daily mega-voltage image guidance scans for 10 participants recruited to the VoxTox study. The femoral heads were used to produce a fixed point to which all rectal contours were referenced. Results: Σ [standard deviation (SD) of means] between planning and treatment was 4.2 mm in the anteroposterior (AP) direction and 1.3 mm left–right (LR). σ (root mean square of SDs) was 5.2 mm AP and 2.7 mm LR. Superior–inferior variation was less than one slice above and below the planning position. Conclusion: Our results for Σ are in line with published data for prostate motion. σ, however, was approximately twice as great as that seen for prostate motion. This suggests that DA may differ from planned dose in some patients treated with radiotherapy for prostate cancer. Advances in knowledge: This work is the first to use daily imaging to quantify Σ and σ of the rectum in prostate cancer. σ was found to be greater than published data, providing strong rationale for further investigation of individual DA.


British Journal of Radiology | 2016

Recalculation of dose for each fraction of treatment on TomoTherapy.

S.J. Thomas; M. Romanchikova; K. Harrison; Michael Andrew Parker; A.M. Bates; J.E. Scaife; M.P.F. Sutcliffe; N.G. Burnet

Objective: The VoxTox study, linking delivered dose to toxicity requires recalculation of typically 20–37 fractions per patient, for nearly 2000 patients. This requires a non-interactive interface permitting batch calculation with multiple computers. Methods: Data are extracted from the TomoTherapy® archive and processed using the computational task-management system GANGA. Doses are calculated for each fraction of radiotherapy using the daily megavoltage (MV) CT images. The calculated dose cube is saved as a digital imaging and communications in medicine RTDOSE object, which can then be read by utilities that calculate dose–volume histograms or dose surface maps. The rectum is delineated on daily MV images using an implementation of the Chan–Vese algorithm. Results: On a cluster of up to 117 central processing units, dose cubes for all fractions of 151 patients took 12 days to calculate. Outlining the rectum on all slices and fractions on 151 patients took 7 h. We also present results of the Hounsfield unit (HU) calibration of TomoTherapy MV images, measured over an 8-year period, showing that the HU calibration has become less variable over time, with no large changes observed after 2011. Conclusion: We have developed a system for automatic dose recalculation of TomoTherapy dose distributions. This does not tie up the clinically needed planning system but can be run on a cluster of independent machines, enabling recalculation of delivered dose without user intervention. Advances in knowledge: The use of a task management system for automation of dose calculation and outlining enables work to be scaled up to the level required for large studies.


Radiotherapy and Oncology | 2017

Delivered dose can be a better predictor of rectal toxicity than planned dose in prostate radiotherapy

L.E.A. Shelley; J.E. Scaife; M. Romanchikova; K. Harrison; Julia R. Forman; A.M. Bates; D.J. Noble; R. Jena; Michael Andrew Parker; M.P.F. Sutcliffe; S.J. Thomas; N.G. Burnet

Background and purpose For the first time, delivered dose to the rectum has been calculated and accumulated throughout the course of prostate radiotherapy using megavoltage computed tomography (MVCT) image guidance scans. Dosimetric parameters were linked with toxicity to test the hypothesis that delivered dose is a stronger predictor of toxicity than planned dose. Material and methods Dose–surface maps (DSMs) of the rectal wall were automatically generated from daily MVCT scans for 109 patients within the VoxTox research programme. Accumulated-DSMs, representing total delivered dose, and planned-DSMs, from planning CT data, were parametrised using Equivalent Uniform Dose (EUD) and ‘DSM dose-width’, the lateral dimension of an ellipse fitted to a discrete isodose cluster. Associations with 6 toxicity endpoints were assessed using receiver operator characteristic curve analysis. Results For rectal bleeding, the area under the curve (AUC) was greater for accumulated dose than planned dose for DSM dose-widths up to 70 Gy. Accumulated 65 Gy DSM dose-width produced the strongest spatial correlation (AUC 0.664), while accumulated EUD generated the largest AUC overall (0.682). For proctitis, accumulated EUD was the only reportable predictor (AUC 0.673). Accumulated EUD was systematically lower than planned EUD. Conclusions Dosimetric parameters extracted from accumulated DSMs have demonstrated stronger correlations with rectal bleeding and proctitis, than planned DSMs.


British Journal of Radiology | 2013

Image guidance protocols: balancing imaging parameters against scan time

A.M. Bates; J.E. Scaife; G S J Tudor; R. Jena; M. Romanchikova; J C Dean; Andrew Hoole; M P D Simmons; N.G. Burnet

OBJECTIVE Optimisation of imaging protocols is essential to maximise the use of image-guided radiotherapy. This article evaluates the time for daily online imaging with TomoTherapy® (Accuray®, Sunnyvale, CA), separating mechanical scan acquisition from radiographer-led image matching, to estimate the time required for a clinical research study (VoxTox). METHODS Over 5 years, 18 533 treatments were recorded for 3 tumour sites of interest (prostate, head and neck and central nervous system). Data were collected for scan length, number of CT slices, slice thickness, scan acquisition time and image matching time. RESULTS The proportion of coarse thickness scans increased over time, with a move of making coarse scans as the default. There was a strong correlation between scan time and scan length. Scan acquisition requires 40 s of processing time. For coarse scans, each additional centimetre requires 8 s for acquisition. Image matching takes approximately 1.5 times as long, so each additional centimetre needs 20 s extra in total. Modest changes to the imaging protocol have minimal impact over the course of the day. CONCLUSION This work quantified the effect of changes to clinical protocols required for research. The results have been found to be reassuring in the busy National Institutes of Health department. ADVANCES IN KNOWLEDGE This novel method of data collection and analysis provides evidence of the minimal impact of research on clinical turnover. Whilst the data relate specifically to TomoTherapy, some aspects may apply to other platforms in the future.


CERN IdeaSquare Journal of Experimental Innovation | 2017

Applying physical science techniques and CERN technology to an unsolved problem in radiation treatment for cancer: the multidisciplinary ‘VoxTox’ research programme

N.G. Burnet; J.E. Scaife; M. Romanchikova; S.J. Thomas; A.M. Bates; Emma Wong; D.J. Noble; L.E.A. Shelley; Simon Bond; Julia R. Forman; A.C.F. Hoole; Gillian C. Barnett; Frederic Brochu; Michael Pd Simmons; Raj Jena; K. Harrison; Ping Lin Yeap; Amelia Drew; Emma Silvester; Patrick Elwood; Hannah Pullen; Andrew Sultana; Shannon Yk Seah; Megan Z Wilson; Simon G. Russell; Richard J Benson; Yvonne Rimmer; S.J. Jefferies; N. Taku; Mark Gurnell

The VoxTox research programme has applied expertise from the physical sciences to the problem of radiotherapy toxicity, bringing together expertise from engineering, mathematics, high energy physics (including the Large Hadron Collider), medical physics and radiation oncology. In our initial cohort of 109 men treated with curative radiotherapy for prostate cancer, daily image guidance computed tomography (CT) scans have been used to calculate delivered dose to the rectum, as distinct from planned dose, using an automated approach. Clinical toxicity data have been collected, allowing us to address the hypothesis that delivered dose provides a better predictor of toxicity than planned dose.


Radiotherapy and Oncology | 2018

Anatomical change during radiotherapy for head and neck cancer, and its effect on delivered dose to the spinal cord

D.J. Noble; Ping-lin Yeap; Shannon Yk Seah; K. Harrison; L.E.A. Shelley; M. Romanchikova; A.M. Bates; Yaolin Zheng; Gillian C. Barnett; Richard Benson; S.J. Jefferies; S.J. Thomas; Raj Jena; N.G. Burnet

Highlights • A cohort of 133 head & neck cancer patients treated with TomoTherapy was examined.• Differences between planned and delivered maximum spinal cord dose were small.• Substantial weight loss and anatomical change during treatment was observed.• No link between weight loss or anatomical change, and dose differences was seen.


Physics in Medicine and Biology | 2017

Automatic contour propagation using deformable image registration to determine delivered dose to spinal cord in head-and-neck cancer radiotherapy

Pl Yeap; D.J. Noble; K. Harrison; A.M. Bates; N.G. Burnet; R. Jena; M. Romanchikova; M.P.F. Sutcliffe; S.J. Thomas; Gillian C. Barnett; Richard Benson; S.J. Jefferies; Michael Andrew Parker

Abstract To determine delivered dose to the spinal cord, a technique has been developed to propagate manual contours from kilovoltage computed-tomography (kVCT) scans for treatment planning to megavoltage computed-tomography (MVCT) guidance scans. The technique uses the Elastix software to perform intensity-based deformable image registration of each kVCT scan to the associated MVCT scans. The registration transform is then applied to contours of the spinal cord drawn manually on the kVCT scan, to obtain contour positions on the MVCT scans. Different registration strategies have been investigated, with performance evaluated by comparing the resulting auto-contours with manual contours, drawn by oncologists. The comparison metrics include the conformity index (CI), and the distance between centres (DBC). With optimised registration, auto-contours generally agree well with manual contours. Considering all 30 MVCT scans for each of three patients, the median CI is \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}


Journal of Physics: Conference Series | 2017

Using computing models from particle physics to investigate dose-toxicity correlations in cancer radiotherapy

Amelia Drew; Pj Elwood; K. Harrison; Michael Andrew Parker; Hl Pullen; M. Romanchikova; E Silvester; Ad Sultana; M.P.F. Sutcliffe; S.J. Thomas; Pl Yeap

0.759 \pm 0.003


Radiotherapy and Oncology | 2016

EP-1894: Evaluation of a novel method for automatic segmentation of rectum on daily MVCT prostate images

M. Romanchikova; D.I. Johnston; K. Harrison; M.P.F. Sutcliffe; J.E. Scaife; S.J. Thomas; N.G. Burnet

\end{document}0.759±0.003, and the median DBC is (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}

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N.G. Burnet

University of Cambridge

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S.J. Thomas

Cambridge University Hospitals NHS Foundation Trust

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K. Harrison

University of Birmingham

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A.M. Bates

University of Cambridge

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J.E. Scaife

University of Cambridge

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R. Jena

University of Cambridge

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D.J. Noble

University of Cambridge

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