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- Title
Coverage probability planning for simultaneously integrated boosts of inguinal lymph nodes in vulvar cancer.
- Authors
Mohamed, Sandy; Assenholt, Marianne S.; Fokdal, Lars; Kallehauge, Jesper; Lindegaard, Jacob Chr.; Tanderup, Kari
- Abstract
Strategies for minimizing irradiation of organs at risk (OARs) from pathological inguinal lymph node (PILN) boosting are needed to minimize the risk of morbidity. Coverage probability (CovP) is a conformal planning strategy for simultaneously integrated boost (SIB). Our aim was to investigate if SIB of PILN using CovP can be delivered safely in vulvar cancer. Ten consecutive patients treated with definitive radiotherapy (RT) including SIB of PILN and with daily cone beam CT (CBCT) were included. Dose prescription was 51.2/32 fx to the elective target and 64 Gy/32 fx to the gross disease at the vulva and to positive lymph nodes (LN). PILN were contoured on both planning CT and MRI (GTV-N) and combined to form ITV-N. Each PILN GTV-N was contoured on every third CBCT, in total 11 CBCT for each patient. OARs were subcutaneous tissue (SC), inguinal vessels, skin rim, bowel, and body contour. Three plans were created for every patient: A) Standard CT-based planning; PTV-N based on GTV-NCT with a 10 mm isotropic margin. B) CT and MRI-based planning with smaller margins: PTV-N based on ITV-N with a 5 mm isotropic margin. C) CovP. The total delivered dose to GTV-Ns was estimated by accumulating dose across all fractions based on GTV-Ns contoured on CBCT. Thirty-five PILNs were boosted. There was no significant difference in accumulated GTV-N D98% between the three plans. CovP delivered a higher mean dose to the GTV-N D50% and D2% (p < 0.001). The planned mean doses to the OARs were reduced when applying CovP. SIB of PILN in vulvar cancer based on CovP and a 5 mm PTV margin does not compromise target coverage during RT and reduces the dose to normal tissues in the groin.
- Subjects
DISEASE risk factors; GROIN; VULVAR tumors; LYMPH nodes; MEDICAL care; MAGNETIC resonance imaging; REGRESSION analysis; T-test (Statistics); DESCRIPTIVE statistics; DATA analysis software; HEALTH planning
- Publication
Acta Oncologica, 2022, Vol 61, Issue 11, p1406
- ISSN
0284-186X
- Publication type
Article
- DOI
10.1080/0284186X.2022.2134735