Will haptic feedback speed up medical imaging? An application to radiation treatment planning

Anderlind, Eva; Noz, Marilyn E.; Sallnäs, Eva-Lotta; Lind, Bengt K.; Maguire, Gerald Q.

doi:10.1080/02841860701534535

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…Interestingly, they also observed that radiation oncologists were the slowest performers of ROI contouring tasks. The presented findings of this series, using more elaborate target volumespecific tasks designed to approximate clinical cases, correlate with those observed in simple geometric/anatomical shapes by Larsson et al Work by Anderlind et al [46], using a pen UID with haptic feedback, furthermore suggests that the addition of tactile information might even further improve contouring efficiency.…”

Section: Discussionsupporting

confidence: 85%

Human–Computer Interaction in Radiotherapy Target Volume Delineation: A Prospective, Multi-institutional Comparison of User Input Devices

et al. 2010

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The purpose of this study was the prospective comparison of objective and subjective effects of target volume region of interest (ROI) delineation using mousekeyboard and pen-tablet user input devices (UIDs). The study was designed as a prospective test/retest sequence, with Wilcoxon signed rank test for matchedpair 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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Section: Discussionsupporting

confidence: 85%

Human–Computer Interaction in Radiotherapy Target Volume Delineation: A Prospective, Multi-institutional Comparison of User Input Devices

et al. 2010

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“…Another focus in our project is to see how haptic feedback can be used in a discussion where radiologist and surgeons discuss a patient case (cf. Anderlind 2008). Radiologists are used to look at radiology pictures and to communicate the radiological diagnosis.…”

Section: Introductionmentioning

confidence: 99%

Team Meetings within Clinical Domains – Exploring the Use of Routines and Technical Support for Communication

Groth

Lantz

Sallnäs

et al. 2009

Human-Computer Interaction – INTERACT 2009

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Breast lesion shape and margin evaluation: BI-RADS based metrics understate radiologists' actual levels of agreement

Rawashdeh

Lewis

Zaitoun

et al. 2018

Computers in Biology and Medicine

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Will haptic feedback speed up medical imaging? An application to radiation treatment planning

Cited by 3 publications

References 7 publications

Human–Computer Interaction in Radiotherapy Target Volume Delineation: A Prospective, Multi-institutional Comparison of User Input Devices

Human–Computer Interaction in Radiotherapy Target Volume Delineation: A Prospective, Multi-institutional Comparison of User Input Devices

Team Meetings within Clinical Domains – Exploring the Use of Routines and Technical Support for Communication

Breast lesion shape and margin evaluation: BI-RADS based metrics understate radiologists' actual levels of agreement

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