ELIZA cgi-bash version rev. 1.91
- Medical English LInking keywords finder for the PubMed Zipped Archive (ELIZA) -

return kwic search for used out of >500 occurrences
821596 occurrences (No.5 in the rank) during 5 years in the PubMed. [cache]
184) A cohort of 57 head-and-neck cancer patients with DECT and MRI pairs were used to validate the performance of the proposed framework.
--- ABSTRACT ---
PMID:33596558 DOI:10.1088/1361-6560/abe736
2021 Physics in medicine and biology
* Synthetic dual-energy CT for MRI-only based proton therapy treatment planning using label-GAN.
- MRI-only treatment planning is highly desirable in the current proton radiation therapy workflow due to its appealing advantages such as bypassing MR-CT co-registration, avoiding x-ray CT exposure dose and reduced medical cost. However, MRI alone cannot provide stopping power ratio (SPR) information for dose calculations. Given that dual energy CT (DECT) can estimate SPR with higher accuracy than conventional single energy CT, we propose a deep learning-based method in this study to generate synthetic DECT (sDECT) from MRI to calculate SPR. Since the contrast difference between high-energy and low-energy CT (LECT) is important, and in order to accurately model this difference, we propose a novel label generative adversarial network-based model which can not only discriminate the realism of sDECT but also differentiate high-energy CT (HECT) and LECT from DECT. A cohort of 57 head-and-neck cancer patients with DECT and MRI pairs were used to validate the performance of the proposed framework. The results of sDECT and its derived SPR maps were compared with clinical DECT and the corresponding SPR, respectively. The mean absolute error for synthetic LECT and HECT were 79.98 ± 18.11 HU and 80.15 ± 16.27 HU, respectively. The corresponding SPR maps generated from sDECT showed a normalized mean absolute error as 5.22% ± 1.23%. By comparing with the traditional Cycle GANs, our proposed method significantly improves the accuracy of sDECT. The results indicate that on our dataset, the sDECT image form MRI is close to planning DECT, and thus shows promising potential for generating SPR maps for proton therapy.
--- ABSTRACT END ---
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(1)184 to (7)8 the (13)2 Arksey (19)2 over
(2)52 in (8)7 and (14)2 VR-HMD (20)2 qualitative
(3)46 for (9)7 with (15)2 an (21)2 quantitative
(4)25 as (10)6 by (16)2 included (22)2 single-cell
(5)20 a (11)3 among (17)2 mixed
(6)14 *null* (12)3 were (18)2 model

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--- WordNet output for used --- =>1.〜に慣れて, 2.用いられた, 中古の Overview of verb use The verb use has 6 senses (first 3 from tagged texts) 1. (603) use, utilize, utilise, apply, employ -- (put into service; make work or employ for a particular purpose or for its inherent or natural purpose; "use your head!"; "we only use Spanish at home"; "I can't use this tool"; "Apply a magnetic field here"; "This thinking was applied to many projects"; "How do you utilize this tool?"; "I apply this rule to get good results"; "use the plastic bags to store the food"; "He doesn't know how to use a computer") 2. (12) use, habituate -- (take or consume (regularly or habitually); "She uses drugs rarely") 3. (8) use, expend -- (use up, consume fully; "The legislature expended its time on school questions") 4. use -- (seek or achieve an end by using to one's advantage; "She uses her influential friends to get jobs"; "The president's wife used her good connections") 5. practice, apply, use -- (avail oneself to; "apply a principle"; "practice a religion"; "use care when going down the stairs"; "use your common sense"; "practice non-violent resistance") 6. use -- (habitually do something (use only in the past tense); "She used to call her mother every week but now she calls only occasionally"; "I used to get sick when I ate in that dining hall"; "They used to vacation in the Bahamas") Overview of adj used The adj used has 3 senses (first 3 from tagged texts) 1. (4) used -- (employed in accomplishing something; "the principle of surprise is the most used and misused of all the principles of war"- H.H.Arnold & I.C.Eaker) 2. (1) exploited, ill-used, put-upon, used, victimized, victimised -- (of persons; taken advantage of; "after going out of his way to help his friend get the job he felt not appreciated but used") 3. (1) secondhand, used -- (previously used or owned by another; "bought a secondhand (or used) car") --- WordNet end ---