kwic
risk
risk
right
off
ON
416
1
100
500
strict
ELIZA cgi-bash version rev. 1.91
- Medical English LInking keywords finder for the PubMed Zipped Archive (ELIZA) -
return
kwic search for risk out of >500 occurrences
421954 occurrences (No.40 in the rank) during 5 years in the PubMed. [cache]
--- ABSTRACT ---
--- ABSTRACT END ---
[frequency of next (right) word to risk]
421954 occurrences (No.40 in the rank) during 5 years in the PubMed. [cache]
| 416) 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. |
| 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. |
[
right
kwic]
(1)139  of |
(11)7 prediction |
(21)3 decision |
(31)2 markers |
| (2)49 factors |
(12)6 stratification |
(22)3 or |
(32)2 mitigation |
| (3)46 for |
(13)5 individuals |
(23)3 patients |
(33)2 population |
| (4)21 *null* | (14)4 genes |
(24)2 (OR |
(34)2 ratio |
| (5)19 factor |
(15)4 populations |
(25)2 among |
(35)2 reduction |
| (6)16 and |
(16)4 score |
(26)2 communication |
(36)2 screening |
| (7)13 assessment |
(17)4 to |
(27)2 communication, |
(37)2 strategies |
| (8)12 in |
(18)4 variants |
(28)2 designations |
|
| (9)8 perception |
(19)3 alleles |
(29)2 group |
|
| (10)7 factors, |
(20)3 assessment, |
(30)2 is |
add keyword
--- WordNet output for risk ---