ELIZA

return kwic search for including out of >500 occurrences
468001 occurrences (No.36 in the rank) during 5 years in the PubMed. [cache]

92) Quantitative metrics including Dice similarity coefficient (DSC), Hausdorff distance 95% (HD95), mean surface distance, and residual mean square distance (RMS) were used to evaluate the proposed method.

--- ABSTRACT ---

PMID:33412527 DOI:10.1088/1361-6560/abd953

2021 Physics in medicine and biology

* Head-and-neck organs-at-risk auto-delineation using dual pyramid networks for CBCT-guided adaptive radiotherapy.

- Organ-at-risk (OAR) delineation is a key step for cone-beam CT (CBCT) based adaptive radiotherapy planning that can be a time-consuming, labor-intensive, and subject-to-variability process. We aim to develop a fully automated approach aided by synthetic MRI for rapid and accurate CBCT multi-organ contouring in head-and-neck (HN) cancer patients. MRI has superb soft-tissue contrasts, while CBCT offers bony-structure contrasts. Using the complementary information provided by MRI and CBCT is expected to enable accurate multi-organ segmentation in HN cancer patients. In our proposed method, MR images are firstly synthesized using a pre-trained cycle-consistent generative adversarial network given CBCT. The features of CBCT and synthetic MRI (sMRI) are then extracted using dual pyramid networks for final delineation of organs. CBCT images and their corresponding manual contours were used as pairs to train and test the proposed model. Quantitative metrics including Dice similarity coefficient (DSC), Hausdorff distance 95% (HD95), mean surface distance, and residual mean square distance (RMS) were used to evaluate the proposed method. The proposed method was evaluated on a cohort of 65 HN cancer patients. CBCT images were collected from those patients who received proton therapy. Overall, DSC values of 0.87 ± 0.03, 0.79 ± 0.10/0.79 ± 0.11, 0.89 ± 0.08/0.89 ± 0.07, 0.90 ± 0.08, 0.75 ± 0.06/0.77 ± 0.06, 0.86 ± 0.13, 0.66 ± 0.14, 0.78 ± 0.05/0.77 ± 0.04, 0.96 ± 0.04, 0.89 ± 0.04/0.89 ± 0.04, 0.83 ± 0.02, and 0.84 ± 0.07 for commonly used OARs for treatment planning including brain stem, left/right cochlea, left/right eye, larynx, left/right lens, mandible, optic chiasm, left/right optic nerve, oral cavity, left/right parotid, pharynx, and spinal cord, respectively, were achieved. This study provides a rapid and accurate OAR auto-delineation approach, which can be used for adaptive radiation therapy.

--- ABSTRACT END ---

[
right
kwic]

[frequency of next (right) word to including]

(1)48 the	(10)3 its	(19)2 disease	(28)2 respiratory
(2)8 a	(11)3 social	(20)2 factors	(29)2 searches
(3)6 an	(12)3 those	(21)2 health	(30)2 severe
(4)4 their	(13)2 Dice	(22)2 hypertension,	(31)2 specific
(5)4 three	(14)2 PubMed,	(23)2 in	(32)2 stem
(6)3 alcohol	(15)2 assessment	(24)2 increased	(33)2 studies
(7)3 but	(16)2 behavioral,	(25)2 multiple
(8)3 cancer	(17)2 both	(26)2 patients
(9)3 healthcare	(18)2 development	(27)2 physical

add keyword

--- WordNet output for including --- =>含む Overview of verb include The verb include has 4 senses (first 4 from tagged texts) 1. (234) include -- (have as a part, be made up out of; "The list includes the names of many famous writers") 2. (32) include -- (consider as part of something; "I include you in the list of culprits") 3. (18) include -- (add as part of something else; put in as part of a set, group, or category; "We must include this chemical element in the group") 4. (8) admit, let in, include -- (allow participation in or the right to be part of; permit to exercise the rights, functions, and responsibilities of; "admit someone to the profession"; "She was admitted to the New Jersey Bar") --- WordNet end ---