Dataset Information

Temporal Characteristics of Radiologists' and Novices' Lesion Detection in Viewing Medical Images Presented Rapidly and Sequentially.

ABSTRACT: Although viewing multiple stacks of medical images presented on a display is a relatively new but useful medical task, little is known about this task. Particularly, it is unclear how radiologists search for lesions in this type of image reading. When viewing cluttered and dynamic displays, continuous motion itself does not capture attention. Thus, it is effective for the target detection that observers' attention is captured by the onset signal of a suddenly appearing target among the continuously moving distractors (i.e., a passive viewing strategy). This can be applied to stack viewing tasks, because lesions often show up as transient signals in medical images which are sequentially presented simulating a dynamic and smoothly transforming image progression of organs. However, it is unclear whether observers can detect a target when the target appears at the beginning of a sequential presentation where the global apparent motion onset signal (i.e., signal of the initiation of the apparent motion by sequential presentation) occurs. We investigated the ability of radiologists to detect lesions during such tasks by comparing the performances of radiologists and novices. Results show that overall performance of radiologists is better than novices. Furthermore, the temporal locations of lesions in CT image sequences, i.e., when a lesion appears in an image sequence, does not affect the performance of radiologists, whereas it does affect the performance of novices. Results indicate that novices have greater difficulty in detecting a lesion appearing early than late in the image sequence. We suggest that radiologists have other mechanisms to detect lesions in medical images with little attention which novices do not have. This ability is critically important when viewing rapid sequential presentations of multiple CT images, such as stack viewing tasks.

SUBMITTER: Nakashima R

PROVIDER: S-EPMC5054019 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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Temporal Characteristics of Radiologists' and Novices' Lesion Detection in Viewing Medical Images Presented Rapidly and Sequentially.

Nakashima Ryoichi R Komori Yuya Y Maeda Eriko E Yoshikawa Takeharu T Yokosawa Kazuhiko K

Frontiers in psychology 20161007

Although viewing multiple stacks of medical images presented on a display is a relatively new but useful medical task, little is known about this task. Particularly, it is unclear how radiologists search for lesions in this type of image reading. When viewing cluttered and dynamic displays, continuous motion itself does not capture attention. Thus, it is effective for the target detection that observers' attention is captured by the onset signal of a suddenly appearing target among the continuou ...[more]

PMID: 27774080

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Project description:BackgroundCharacteristic chest computed tomography (CT) manifestation of 2019 novel coronavirus (COVID-19) was added as a diagnostic criterion in the Chinese National COVID-19 management guideline. Whether the characteristic findings of Chest CT could differentiate confirmed COVID-19 cases from other positive nucleic acid test (NAT)-negative patients has not been rigorously evaluated.PurposeWe aim to test whether chest CT manifestation of 2019 novel coronavirus (COVID-19) can be differentiated by a radiologist or a computer-based CT image analysis system.MethodsWe conducted a retrospective case-control study that included 52 laboratory-confirmed COVID-19 patients and 80 non-COVID-19 viral pneumonia patients between 20 December, 2019 and 10 February, 2020. The chest CT images were evaluated by radiologists in a double blind fashion. A computer-based image analysis system (uAI System, Lianying Inc., Shanghai, China) detected the lesions in 18 lung segments defined by Boyden classification system and calculated the infected volume in each segment. The number and volume of lesions detected by radiologist and computer system was compared with Chi-square test or Mann-Whitney U test as appropriate.ResultsThe main CT manifestations of COVID-19 were multi-lobar/segmental peripheral ground-glass opacities and patchy air space infiltrates. The case and control groups were similar in demographics, comorbidity, and clinical manifestations. There was no significant difference in eight radiologist identified CT image features between the two groups of patients. There was also no difference in the absolute and relative volume of infected regions in each lung segment.ConclusionWe documented the non-differentiating nature of initial chest CT image between COVID-19 and other viral pneumonia with suspected symptoms. Our results do not support CT findings replacing microbiological diagnosis as a critical criterion for COVID-19 diagnosis. Our findings may prompt re-evaluation of isolated patients without laboratory confirmation.

Project description:BackgroundAlthough patient data is available through electronic portals, little information exists about the benefits and/or challenges of providing patients with online access to their radiology images.ObjectiveThe aims of this quality improvement project were to understand patient attitudes toward being able to view their radiology images online and determine how information should be presented to ensure the images are helpful to the patients, rather than causing confusion and anxiety.MethodsAn online survey of consumers was conducted to evaluate attitudes toward online access to personal radiological images.ResultsA total of 105 responses were received from 686 community members (15.3%). Of 105 consumers, 94 (89.5%) reported a desire to have access to the radiology images within their online patient portal; 86.7% (91/105) believed it would help them better understand their medical conditions and 81.0% (85/105) said this would help them feel more in control of their care. Most respondents (74/105, 70.5%) said it would help them feel reassured that their doctor was doing the right thing, and 63.8% (67/105) said it would increase their level of trust in their doctor. Among surveyed patients, 78.1% (82/105) valued viewing their radiology images online, while 92.4% (97/105) valued their online radiology reports. Most patients (69/105, 65.7%) wished to discuss their results with their ordering clinician, 29.5% (31/105) wished to discuss with their interpreting radiologist, and 3.8% (4/105) wished to share their images on social media. The biggest potential concern among 23.8% (25/105) was that the images would be confusing.ConclusionsA large majority of surveyed patients desired the ability to view their radiology images online and anticipated many benefits and few risks. Health care organizations with electronic health records and online patient portals should consider augmenting their existing portals with this highly desired feature. To avoid the biggest patient concern, radiology reports should accompany images. Patients wanted to discuss their results with their ordering physician and their interpreting radiologist. Some even would like to share results on social media. Further research on the actual experience with such a tool will be needed.

Dataset Information

Temporal Characteristics of Radiologists' and Novices' Lesion Detection in Viewing Medical Images Presented Rapidly and Sequentially.

Publications

Temporal Characteristics of Radiologists' and Novices' Lesion Detection in Viewing Medical Images Presented Rapidly and Sequentially.

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