東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

Anatomical and Functional Lung Imaging with Volumetric Computed Tomography in Non-Small Cell Lung Cancer.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Anatomical and Functional Lung Imaging with Volumetric Computed Tomography in Non-Small Cell Lung Cancer./
作者:	Young, Heather.
面頁冊數:	1 online resource (144 pages)
附註:	Source: Dissertations Abstracts International, Volume: 84-05, Section: A.
Contained By:	Dissertations Abstracts International84-05A.
標題:	Tomography. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29943780click for full text (PQDT)
ISBN:	9798352980187

Anatomical and Functional Lung Imaging with Volumetric Computed Tomography in Non-Small Cell Lung Cancer.
Young, Heather.

Anatomical and Functional Lung Imaging with Volumetric Computed Tomography in Non-Small Cell Lung Cancer. - 1 online resource (144 pages)

Source: Dissertations Abstracts International, Volume: 84-05, Section: A.

Thesis (Ph.D.)--The University of Western Ontario (Canada), 2022.

Includes bibliographical references

Non-small cell lung cancer (NSCLC) is one of the most diagnosed cancers in Canada, and the leading cause of cancer deaths. A significant challenge in treating NSCLC is balancing aggressive treatment with the potentially severe side effects. In radiation therapy, the management of respiratory motion and the risks of radiation-induced lung injury (RILI) pose significant challenges. 4-dimensional computed tomography (4D-CT) is an important part of motion management, but images often suffer from motion-induced artifacts. Volumetric CT scanners with wide axial field-of-view (aFOV) may reduce these artifacts and present an opportunity to advance CT-based functional lung imaging.Chapter 2 presents a phantom imaging study to investigate the suitability of a 256-slice volumetric CT (vCT) scanner for radiotherapy treatment planning. The density of the highest density materials was under-estimated by the scanner, which can be addressed with the use of an appropriate relative electron density (RED) curve. An average RED curve for all aFOV settings may be used.Chapter 3 presents a study of phantom and NSCLC patient 4D-CT images acquired on a clinical scanner and a vCT scanner. The v4D-CT images were re-sampled to simulate a conventional acquisition using a narrow aFOV clinical scanner. The phantom images demonstrated that target contouring variability decreased in v4D-CT imaging as compared to clinical 4D-CT. In the patient images, mean Hausdorff distance between organs at risk (OAR) contours was significantly correlated to respiratory phase, indicating that motion artifacts contribute to this variability.Chapter 4 presents a novel acquisition and analysis pipeline to image lung ventilation (V), perfusion (Q) and V/Q ratio in a single volumetric CT scan. In a porcine study, these images of V and Q were significantly correlated to standard Xe-enhanced ventilation and PET perfusion images in voxel-wise analysis. In a NSCLC patient study, the images were sensitive to changes in V and Q between baseline imaging and follow-up 6 weeks after radiotherapy.In this thesis, I demonstrate that volumetric CT scanners are suitable for use in radiation therapy simulation and treatment planning, and detail two scanning protocols which may reduce the challenges posed by respiratory motion and RILI risk in NSCLC.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798352980187Subjects--Topical Terms:

836553
Tomography.
Index Terms--Genre/Form:

542853
Electronic books.

Anatomical and Functional Lung Imaging with Volumetric Computed Tomography in Non-Small Cell Lung Cancer.
LDR:03830nmm a2200457K 4500 001 2363902
005 20231127094729.5
006 m o d
007 cr mn ---uuuuu
008 241011s2022 xx obm 000 0 eng d
020 $a 9798352980187
035 $a (MiAaPQ)AAI29943780
035 $a (MiAaPQ)oaiirlibuwocaetd11559
035 $a AAI29943780
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Young, Heather. $3 3704676
245 1 0 $a Anatomical and Functional Lung Imaging with Volumetric Computed Tomography in Non-Small Cell Lung Cancer.
264 0 $c 2022
300 $a 1 online resource (144 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 84-05, Section: A.
500 $a Advisor: Gaede, Stewart;Lee, Ting-Yim.
502 $a Thesis (Ph.D.)--The University of Western Ontario (Canada), 2022.
504 $a Includes bibliographical references
520 $a Non-small cell lung cancer (NSCLC) is one of the most diagnosed cancers in Canada, and the leading cause of cancer deaths. A significant challenge in treating NSCLC is balancing aggressive treatment with the potentially severe side effects. In radiation therapy, the management of respiratory motion and the risks of radiation-induced lung injury (RILI) pose significant challenges. 4-dimensional computed tomography (4D-CT) is an important part of motion management, but images often suffer from motion-induced artifacts. Volumetric CT scanners with wide axial field-of-view (aFOV) may reduce these artifacts and present an opportunity to advance CT-based functional lung imaging.Chapter 2 presents a phantom imaging study to investigate the suitability of a 256-slice volumetric CT (vCT) scanner for radiotherapy treatment planning. The density of the highest density materials was under-estimated by the scanner, which can be addressed with the use of an appropriate relative electron density (RED) curve. An average RED curve for all aFOV settings may be used.Chapter 3 presents a study of phantom and NSCLC patient 4D-CT images acquired on a clinical scanner and a vCT scanner. The v4D-CT images were re-sampled to simulate a conventional acquisition using a narrow aFOV clinical scanner. The phantom images demonstrated that target contouring variability decreased in v4D-CT imaging as compared to clinical 4D-CT. In the patient images, mean Hausdorff distance between organs at risk (OAR) contours was significantly correlated to respiratory phase, indicating that motion artifacts contribute to this variability.Chapter 4 presents a novel acquisition and analysis pipeline to image lung ventilation (V), perfusion (Q) and V/Q ratio in a single volumetric CT scan. In a porcine study, these images of V and Q were significantly correlated to standard Xe-enhanced ventilation and PET perfusion images in voxel-wise analysis. In a NSCLC patient study, the images were sensitive to changes in V and Q between baseline imaging and follow-up 6 weeks after radiotherapy.In this thesis, I demonstrate that volumetric CT scanners are suitable for use in radiation therapy simulation and treatment planning, and detail two scanning protocols which may reduce the challenges posed by respiratory motion and RILI risk in NSCLC.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Tomography. $3 836553
650 4 $a Immunotherapy. $3 597370
650 4 $a Blood vessels. $3 3561732
650 4 $a Cancer therapies. $3 3557730
650 4 $a Medical imaging. $3 3172799
650 4 $a Respiration. $3 610890
650 4 $a Health physics. $3 3557729
650 4 $a Physics. $3 516296
650 4 $a Lung cancer. $3 3561819
650 4 $a Surgery. $3 707153
650 4 $a Planning. $3 552734
650 4 $a Lymphatic system. $3 3685740
650 4 $a Carbon dioxide. $3 587886
650 4 $a Cartilage. $3 924011
650 4 $a Tumors. $3 893964
650 4 $a Pulmonary arteries. $3 3685017
650 4 $a Radiation therapy. $3 3557731
650 4 $a Biomechanics. $3 548685
650 4 $a Chemotherapy. $3 728559
650 4 $a X-rays. $3 604695
650 4 $a Biophysics. $3 518360
650 4 $a Immunology. $3 611031
650 4 $a Medicine. $3 641104
650 4 $a Morphology. $3 591167
650 4 $a Nuclear physics. $3 517741
650 4 $a Oncology. $3 751006
650 4 $a Pharmaceutical sciences. $3 3173021
650 4 $a Therapy. $3 3343697
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0648
690 $a 0605
690 $a 0576
690 $a 0574
690 $a 0786
690 $a 0982
690 $a 0564
690 $a 0287
690 $a 0756
690 $a 0992
690 $a 0572
690 $a 0212
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a The University of Western Ontario (Canada). $3 1017622
773 0 $t Dissertations Abstracts International $g 84-05A.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29943780 $z click for full text (PQDT)