Search: onr:"swepub:oai:DiVA.org:ri-56926" > Effects of lung tis...
Fältnamn | Indikatorer | Metadata |
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000 | 05706naa a2200757 4500 | |
001 | oai:DiVA.org:ri-56926 | |
003 | SwePub | |
008 | 211122s2021 | |||||||||||000 ||eng| | |
009 | oai:gup.ub.gu.se/310618 | |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-569262 URI |
024 | 7 | a https://doi.org/10.1016/j.ejmp.2021.09.0092 DOI |
024 | 7 | a https://gup.ub.gu.se/publication/3106182 URI |
040 | a (SwePub)rid (SwePub)gu | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a ref2 swepub-contenttype |
072 | 7 | a art2 swepub-publicationtype |
100 | 1 | a Andersson, Patriku Gothenburg University,Göteborgs universitet,RISE,University of Gothenburg, Sweden,Institutionen för kliniska vetenskaper, Avdelningen för radiologi,Institute of Clinical Sciences, Department of Radiology4 aut0 (Swepub:ri)patrik.andersson@ri.se |
245 | 1 0 | a Effects of lung tissue characterization in radiotherapy of breast cancer under deep inspiration breath hold when using Monte Carlo dosimetry |
264 | 1 | b Associazione Italiana di Fisica Medica,c 2021 |
338 | a print2 rdacarrier | |
500 | a Funding details: Västra Götalandsregionen; Funding details: Strålsäkerhetsmyndigheten, SSM; Funding text 1: Financial support of King Gustav the V Jubilee Clinic Foundation, The Swedish Radiation Safety Authority and The Healthcare Committee, Region Västra Götaland are greatly acknowledged. | |
520 | a Purpose: To investigate the sensitivity of Monte Carlo (MC) calculated lung dose distributions to lung tissue characterization in external beam radiotherapy of breast cancer under Deep Inspiration Breath Hold (DIBH). Methods: EGSnrc based MC software was employed. Mean lung densities for one hundred patients were analysed. CT number frequency and clinical dose distributions were calculated for 15 patients with mean lung density below 0.14 g/cm3. Lung volume with a pre-defined CT numbers was also considered. Lung tissue was characterized by applying different CT calibrations in the low-density region and air-lung tissue thresholds. Dose impact was estimated by Dose Volume Histogram (DVH) parameters. Results: Mean lung densities below 0.14 g/cm3 were found in 10% of the patients. CT numbers below −960 HU dominated the CT frequency distributions with a high rate of CT numbers at −990 HU. Mass density conversion approach influenced the DVH shape. V4Gy and V8Gy varied by 7% and 5% for the selected patients and by 9% and 3.5% for the pre-defined lung volume. V16Gy and V20Gy, were within 2.5%. Regions above 20 Gy were affected. Variations in air- lung tissue differentiation resulted in DVH parameters within 1%. Threshold at −990 HU was confirmed by the CT number frequency distributions. Conclusions: Lung dose distributions were more sensitive to variations in the CT calibration curve below lung (inhale) density than to air-lung tissue differentiation. Low dose regions were mostly affected. The dosimetry effects were found to be potentially important to 10% of the patients treated under DIBH. | |
650 | 7 | a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Cancer och onkologi0 (SwePub)302032 hsv//swe |
650 | 7 | a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Cancer and Oncology0 (SwePub)302032 hsv//eng |
650 | 7 | a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Radiologi och bildbehandling0 (SwePub)302082 hsv//swe |
650 | 7 | a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Radiology, Nuclear Medicine and Medical Imaging0 (SwePub)302082 hsv//eng |
653 | a Absorbed dose | |
653 | a Breast cancer radiotherapy | |
653 | a DIBH | |
653 | a Lung tissue characterization | |
653 | a Monte Carlo simulations | |
653 | a Article | |
653 | a breast cancer | |
653 | a breath holding | |
653 | a cancer radiotherapy | |
653 | a computer assisted tomography | |
653 | a deep inspiration breath hold | |
653 | a dose volume histogram | |
653 | a dosimetry | |
653 | a external beam radiotherapy | |
653 | a human | |
653 | a inspiratory capacity | |
653 | a lung parenchyma | |
653 | a lung volume | |
653 | a major clinical study | |
653 | a patient selection | |
653 | a radiation dose distribution | |
653 | a respiratory airflow | |
653 | a tissue characterization | |
653 | a Absorbed dose | |
653 | a Breast cancer radiotherapy | |
653 | a DIBH | |
653 | a Lung tissue characterization | |
653 | a Monte Carlo simulations | |
700 | 1 | a Pettersson, Niclasu Sahlgrenska University Hospital, Sweden4 aut |
700 | 1 | a Lindberg, Andreasu Sahlgrenska University Hospital, Sweden4 aut |
700 | 1 | a Swanpalmer, John,d 1958u Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för medicinsk strålningsvetenskap,Institute of Clinical Sciences, Department of Medical Radiation Sciences4 aut0 (Swepub:gu)xswajo |
700 | 1 | a Chakarova, Roumianau Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för medicinsk strålningsvetenskap,Institute of Clinical Sciences, Department of Medical Radiation Sciences4 aut0 (Swepub:gu)xchakr |
710 | 2 | a RISEb University of Gothenburg, Sweden4 org |
773 | 0 | t Physica medica (Testo stampato)d : Associazione Italiana di Fisica Medicag 90, s. 83-90q 90<83-90x 1120-1797x 1724-191X |
856 | 4 | u https://doi.org/10.1016/j.ejmp.2021.09.009y Fulltext |
856 | 4 | u http://www.physicamedica.com/article/S1120179721003082/pdf |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-56926 |
856 | 4 8 | u https://doi.org/10.1016/j.ejmp.2021.09.009 |
856 | 4 8 | u https://gup.ub.gu.se/publication/310618 |
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