Literature DB >> 20978922

Human-computer interaction in radiotherapy target volume delineation: a prospective, multi-institutional comparison of user input devices.

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Abstract

The purpose of this study was the prospective comparison of objective and subjective effects of target volume region of interest (ROI) delineation using mouse-keyboard and pen-tablet user input devices (UIDs). The study was designed as a prospective test/retest sequence, with Wilcoxon signed rank test for matched-pair comparison. Twenty-one physician-observers contoured target volume ROIs on four standardized cases (representative of brain, prostate, lung, and head and neck malignancies) twice: once using QWERTY keyboard/scroll-wheel mouse UID and once with pen-tablet UID (DTX2100, Wacom Technology Corporation, Vancouver, WA, USA). Active task time, ROI manipulation task data, and subjective survey data were collected. One hundred twenty-nine target volume ROI sets were collected, with 62 paired pen-tablet/mouse-keyboard sessions. Active contouring time was reduced using the pen-tablet UID, with mean ± SD active contouring time of 26 ± 23 min, compared with 32 ± 25 with the mouse (p ≤ 0.01). Subjective estimation of time spent was also reduced from 31 ± 26 with mouse to 27 ± 22 min with the pen (p = 0.02). Task analysis showed ROI correction task reduction (p = 0.045) and decreased panning and scrolling tasks (p < 0.01) with the pen-tablet; drawing, window/level changes, and zoom commands were unchanged (p = n.s.) Volumetric analysis demonstrated no detectable differences in ROI volume nor intra- or inter-observer volumetric coverage. Fifty-two of 62 (84%) users preferred the tablet for each contouring task; 5 of 62 (8%) denoted no preference, and 5 of 62 (8%) chose the mouse interface. The pen-tablet UID reduced active contouring time and reduced correction of ROIs, without substantially altering ROI volume/coverage.

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Year:  2011        PMID: 20978922      PMCID: PMC3180541          DOI: 10.1007/s10278-010-9341-2

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  45 in total

1.  Alternative input devices for efficient navigation of large CT angiography data sets.

Authors:  Anthony J Sherbondy; Djamila Holmlund; Geoffrey D Rubin; Pamela K Schraedley; Terry Winograd; Sandy Napel
Journal:  Radiology       Date:  2005-02       Impact factor: 11.105

2.  Evaluating different radiology workstation interaction techniques with radiologists and laypersons.

Authors:  A Moise; M S Atkins; R Rohling
Journal:  J Digit Imaging       Date:  2005-06       Impact factor: 4.056

3.  Radiation oncology career decision variables for graduating trainees seeking positions in 2003-2004.

Authors:  Lynn D Wilson; Daniel F Flynn; Bruce G Haffty
Journal:  Int J Radiat Oncol Biol Phys       Date:  2005-06-01       Impact factor: 7.038

4.  Perception research in medical imaging.

Authors:  D J Manning; A Gale; E A Krupinski
Journal:  Br J Radiol       Date:  2005-08       Impact factor: 3.039

5.  Contouring structures for 3-dimensional treatment planning.

Authors:  R J Dowsett; J M Galvin; E Cheng; R Smith; R Epperson; R Harris; G Henze; M Needham; R Payne; M A Peterson
Journal:  Int J Radiat Oncol Biol Phys       Date:  1992       Impact factor: 7.038

Review 6.  OsiriX: an open-source software for navigating in multidimensional DICOM images.

Authors:  Antoine Rosset; Luca Spadola; Osman Ratib
Journal:  J Digit Imaging       Date:  2004-06-29       Impact factor: 4.056

Review 7.  Target definition in prostate, head, and neck.

Authors:  Coen Rasch; Roel Steenbakkers; Marcel van Herk
Journal:  Semin Radiat Oncol       Date:  2005-07       Impact factor: 5.934

8.  Definition of the prostate in CT and MRI: a multi-observer study.

Authors:  C Rasch; I Barillot; P Remeijer; A Touw; M van Herk; J V Lebesque
Journal:  Int J Radiat Oncol Biol Phys       Date:  1999-01-01       Impact factor: 7.038

9.  Quality assessment of medical decision making in radiation oncology: variability in target volume delineation for brain tumours.

Authors:  G Leunens; J Menten; C Weltens; J Verstraete; E van der Schueren
Journal:  Radiother Oncol       Date:  1993-11       Impact factor: 6.280

10.  Variability of target volume delineation in cervical esophageal cancer.

Authors:  P Tai; J Van Dyk; E Yu; J Battista; L Stitt; T Coad
Journal:  Int J Radiat Oncol Biol Phys       Date:  1998-09-01       Impact factor: 7.038

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  10 in total

1.  Development of a software for quantitative evaluation radiotherapy target and organ-at-risk segmentation comparison.

Authors:  Jayashree Kalpathy-Cramer; Musaddiq Awan; Steven Bedrick; Coen R N Rasch; David I Rosenthal; Clifton D Fuller
Journal:  J Digit Imaging       Date:  2014-02       Impact factor: 4.056

2.  Evaluation of user input methods for manipulating a tablet personal computer in sterile techniques.

Authors:  Akira Yamada; Daisuke Komatsu; Takeshi Suzuki; Masahiro Kurozumi; Yasunari Fujinaga; Kazuhiko Ueda; Masumi Kadoya
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-08-29       Impact factor: 2.924

3.  Stylus/tablet user input device for MRI heart wall segmentation: efficiency and ease of use.

Authors:  Bedros Taslakian; Antonio Pires; Dan Halpern; James S Babb; Leon Axel
Journal:  Eur Radiol       Date:  2018-05-02       Impact factor: 5.315

4.  Prospective randomized double-blind study of atlas-based organ-at-risk autosegmentation-assisted radiation planning in head and neck cancer.

Authors:  Gary V Walker; Musaddiq Awan; Randa Tao; Eugene J Koay; Nicholas S Boehling; Jonathan D Grant; Dean F Sittig; Gary Brandon Gunn; Adam S Garden; Jack Phan; William H Morrison; David I Rosenthal; Abdallah Sherif Radwan Mohamed; Clifton David Fuller
Journal:  Radiother Oncol       Date:  2014-09-09       Impact factor: 6.280

Review 5.  Metrics to evaluate the performance of auto-segmentation for radiation treatment planning: A critical review.

Authors:  Michael V Sherer; Diana Lin; Sharif Elguindi; Simon Duke; Li-Tee Tan; Jon Cacicedo; Max Dahele; Erin F Gillespie
Journal:  Radiother Oncol       Date:  2021-05-11       Impact factor: 6.901

6.  Evaluation of measures for assessing time-saving of automatic organ-at-risk segmentation in radiotherapy.

Authors:  Femke Vaassen; Colien Hazelaar; Ana Vaniqui; Mark Gooding; Brent van der Heyden; Richard Canters; Wouter van Elmpt
Journal:  Phys Imaging Radiat Oncol       Date:  2019-12-17

7.  Feasibility, Method and Early Outcome of Image-Guided Volumetric Modulated Arc Radiosurgery Followed by Resection for AJCC Stage IIA-IIIB High-Risk Large Intraocular Melanoma.

Authors:  Maja Guberina; Ekaterina Sokolenko; Nika Guberina; Sami Dalbah; Christoph Pöttgen; Wolfgang Lübcke; Frank Indenkämpen; Manfred Lachmuth; Dirk Flühs; Ying Chen; Christian Hoffmann; Cornelius Deuschl; Leyla Jabbarli; Miltiadis Fiorentzis; Andreas Foerster; Philipp Rating; Melanie Ebenau; Tobias Grunewald; Nikolaos Bechrakis; Martin Stuschke
Journal:  Cancers (Basel)       Date:  2022-09-28       Impact factor: 6.575

8.  User Interaction in Semi-Automatic Segmentation of Organs at Risk: a Case Study in Radiotherapy.

Authors:  Anjana Ramkumar; Jose Dolz; Hortense A Kirisli; Sonja Adebahr; Tanja Schimek-Jasch; Ursula Nestle; Laurent Massoptier; Edit Varga; Pieter Jan Stappers; Wiro J Niessen; Yu Song
Journal:  J Digit Imaging       Date:  2016-04       Impact factor: 4.056

9.  The feasibility of atlas-based automatic segmentation of MRI for H&N radiotherapy planning.

Authors:  Kieran Wardman; Robin J D Prestwich; Mark J Gooding; Richard J Speight
Journal:  J Appl Clin Med Phys       Date:  2016-07-08       Impact factor: 2.102

10.  Generating High-Quality Lymph Node Clinical Target Volumes for Head and Neck Cancer Radiation Therapy Using a Fully Automated Deep Learning-Based Approach.

Authors:  Carlos E Cardenas; Beth M Beadle; Adam S Garden; Heath D Skinner; Jinzhong Yang; Dong Joo Rhee; Rachel E McCarroll; Tucker J Netherton; Skylar S Gay; Lifei Zhang; Laurence E Court
Journal:  Int J Radiat Oncol Biol Phys       Date:  2020-10-14       Impact factor: 8.013

  10 in total

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