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  1. 2341
    “…The dataset of 91 patients received CT‐based BT of cervical cancer was used to train and test DSD‐UNET model for auto‐segmentation of high‐risk clinical target volume (HR‐CTV) and organs at risk (OARs). Automatic applicator reconstruction was achieved with DSD‐UNET‐based segmentation of applicator components followed by 3D skeletonization and polynomial curve fitting. …”
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  2. 2342
    “…For the 15 patients using the Fletcher applicator, we utilized dose-volume histogram (DVH) parameters of HR-CTV (D(100%), V(150%)) and organs at risk (OARs) (D(0.1cc), D(1cc), D(2cc)) to evaluate the difference between the GBPO plans and the IPSA (Inverse Planning Simulated Annealing) plans, as well as the GBPO plans and the Graphic plans. …”
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  3. 2343
    “…CONCLUSIONS: By comprehensive consideration, POA-VMAT efficiently generate acceptable treatment plans for CTEC without dose escalation to OARs and overall superior to manual planning which is a good option for treating CTEC.…”
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  4. 2344
    “…Dosimetric metrics for BTV and PTV coverage, maximal doses for serial OARs, integral dose, conformation numbers, and dose contrast indexes were used to analyze the dosimetric results. …”
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  5. 2345
    “…CONCLUSIONS: The in-house designed application has the function of quickly reading dose-volume histogram (DVH) parameters from the treatment planning system, which allows for balance between the total dose to target volumes and organs at risk (OARs). Excel forms based on EQD(2) automatic calculation presents high predictive accuracy.…”
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  6. 2346
  7. 2347
    “…Target volume coverage and doses to organs-at-risk (OARs) were calculated for each technique. Outcomes were compared with one-way analysis of variance and the Bonferroni test, with p-values <0.05 considered significant. …”
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  8. 2348
    “…PTV and organs at risk (OARs) doses were analyzed quantitatively using dose–volume histograms (DVHs) to meet plan objectives. …”
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  9. 2349
    “…Improvements in acute toxicity were presented for VMAT patients due to its ability to spare OARs. Odds ratio (OR) for acute salivary toxicity, between VMAT and 3DCRT, was 4.67 (p = 0.02). …”
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  10. 2350
    “…Dosimetric parameters for organs at risk (OARs), including ipsilateral and contralateral lungs, heart, contralateral breast, skin, and ribs, were evaluated with the help of dose-volume histograms (DVH). …”
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  11. 2351
  12. 2352
    “…Doses of PTV (D2%, D98%, D50%, homogeneity index (HI), conformity index (CI), coverage) and organs at risk (OARs) (V50%, V35%, V25%, V5%, and V95%) were analyzed. …”
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  13. 2353
    “…CONCLUSIONS: A review of patients treated with a customized vaginal mould and interstitial needles showed acceptable doses to CTV, with local control achieved in 67% of patients, and reasonable doses to organs at risk (OARs) and acceptable toxicity.…”
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  14. 2354
    “…Finally, dosimetric comparisons were performed in order to obtain how contour differences affect the doses to target and organs at risk (OARs). RESULTS: In general, mean volumes of the automatic contours were larger than manual contours for both T-R and T-O insertions. …”
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  15. 2355
  16. 2356
    “…BACKGROUND: Radiation therapy (RT) dose for inoperable pancreatic ductal adenocarcinoma (PDAC) has historically been non-ablative to avoid injuring gastrointestinal (GI) organs at risk (OARs). Accruing data suggest that dose escalation, in select patients, may significantly improve clinical outcomes. …”
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  17. 2357
    “…In each case, both methods satisfied the treatment constraints for neighboring OARs. CONCLUSION: The study simulates the concept of the IMBT with inverse planning using the 3D printed applicator design. …”
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  18. 2358
    “…Auto-segmentation model based on convolutional neural networks (CNN) was developed to delineate clinical target volumes (CTVs) and organs at risk (OARs) in cervical cancer radiotherapy. A total of 300 retrospective patients from multiple cancer centers were used to train and validate the model, and 75 independent cases were selected as testing data. …”
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  19. 2359
    “…Improved sparing of organs at risk (OARs) was also obtained by SACAO. In particular, the SACAO method significantly (p < 0.01) reduced the field size (76.59 ± 32.55 vs. 131.95 ± 56.71 cm(2)) and MUs (655.35 ± 71.99 vs. 729.85 ± 73.52) by 41.11%. …”
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  20. 2360
    “…The average percentage deviation (APD) of D(90) of HRCTV and D(2cc) of OARs was less than 1% between rCT-based and corrected CBCT-based plans. …”
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