SU-G-TeP4-01: A High Resolution Pre-Treatment VMAT QA Technique Based On EPID for Single Isocenter Multiple Mets Stereotactic Radiosurgery

2016 ◽  
Vol 43 (6Part28) ◽  
pp. 3685-3685
Author(s):  
Q Wu ◽  
J Adamson ◽  
B Liang ◽  
B Liu ◽  
F Zhou
Author(s):  
Juan‐Francisco Calvo‐Ortega ◽  
Peter B. Greer ◽  
Marcelino Hermida‐López ◽  
Sandra Moragues‐Femenía ◽  
Coral Laosa‐Bello ◽  
...  

Cancers ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 3458
Author(s):  
Anna Petoukhova ◽  
Roland Snijder ◽  
Rudolf Wiggenraad ◽  
Linda de Boer-de Wit ◽  
Ivonne Mudde-van der Wouden ◽  
...  

The purpose was to compare linac-based stereotactic radiosurgery and hypofractionated radiotherapy plan quality of automated planning, intensity modulated radiotherapy (IMRT) and manual dynamic conformal arc (DCA) plans as well as single- and multiple-isocenter techniques for multiple brain metastases (BM). For twelve patients with four to ten BM, seven non-coplanar linac-based plans were created: a manually planned DCA plan with a separate isocenter for each metastasis, a single-isocenter dynamic IMRT plan, an automatically generated single-isocenter volumetric modulated arc radiotherapy (VMAT) plan, four automatically generated single-isocenter DCA plans with three or five couch angles, with high or low sparing of normal tissue. Paddick conformity index, gradient index (GI), mean dose, total V12Gy and V5Gy of uninvolved brain, number of monitor units (MUs), irradiation time and pass rate were compared. The GI was significantly higher for VMAT than for separate-isocenter, IMRT, and all automatically generated plans. The number of MUs was lowest for VMAT, followed by automatically generated DCA and IMRT plans and highest for manual DCA plans. Irradiation time was the shortest for automatically planned DCA plans. Automatically generated linac-based single-isocenter plans for multiple BM reduce the number of MUs and irradiation time with at least comparable GI and V5Gy relative to the reference separate-isocenter DCA plans.


Author(s):  
Hisashi Nakano ◽  
Satoshi Tanabe ◽  
Ryuta Sasamoto ◽  
Takeshi Takizawa ◽  
Satoru Utsunomiya ◽  
...  

2012 ◽  
Vol 39 (6Part24) ◽  
pp. 3910-3910 ◽  
Author(s):  
Z Wang ◽  
J Newton ◽  
M Niebanck ◽  
T Juang ◽  
J Kirkpatrick ◽  
...  

2020 ◽  
Vol 21 (12) ◽  
pp. 155-165
Author(s):  
Hisashi Nakano ◽  
Satoshi Tanabe ◽  
Satoru Utsunomiya ◽  
Takumi Yamada ◽  
Ryuta Sasamoto ◽  
...  

Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 1098-1098
Author(s):  
Samantha JL Knight ◽  
Elham Sadighi Akha ◽  
Adele Timbs ◽  
Tariq Enver ◽  
Andrew R Pettitt ◽  
...  

Abstract Abstract 1098 Poster Board I-120 Background B-cell chronic lymphocytic leukaemia (B-CLL) is the most common form of adult leukaemia in the Western World. It is a heterogeneous disease and important biological and clinical differences have been identified. However, the molecular mechanisms underlying emergence and maintenance of B-CLL after treatment remain elusive. Array based comparative genomic hybridization (aCGH) has revolutionized our ability to perform genome wide analyses of copy number variation (CNV) within cancer genomes. Single Nucleotide Polymorphism arrays (aSNP) provide genotyping and copy number variation data and detect regions of copy neutral Loss of Heterozygosity (cnLOH) with the potential to indicate genes involved in leukaemia pathogenesis. Both technologies are evolving rapidly and emerging platforms are thought to allow high resolution (HR) of abnormalities down to a single gene level. Aim The aim of the current study was therefore to test a HR-aCGH and a HR-aSNP platform for their ability to detect large and small CNVs and regions of cnLOH in B-CLL. More specifically, we wanted to: Method We used a high resolution 244K aCGH platform and a 1Mio SNP array in parallel to test and characterize enriched B-CLL peripheral blood samples (>80% CD19+;CD5+) from 44 clinically annotated patients collected at our institution. To distinguish CNVs seen commonly in the general population the results were compared with ‘in house’ control data sets and the Database of Genomic Variants (http://projects.tcag.ca/variation/). Results Our results show that large abnormalities, already noted by FISH, were reliably identified and the boundaries of abnormalities at 11q22.3, 13q14.2 and 17p could be defined more precisely. In addition, novel and recurrent CNVs within the sample set were identified (1p33; 3p24.3; 3p14.2; 4q12; 4q13.3; 6q21; 6q27; 8p22; 10q24; 11p15.4; 11q12; 11q13.4; 11q14.1; 11q22.1; 11q23.3; 13q14.11; 14q21.1; 15q15.1; 15q25.3; 17p13.3; 17q22; 18p11.32; 18p23; 19p13.13; 19p13.12; 19p13.32; 22q11.21; 22q11.22). Interestingly, some of these abnormalities contain single gene alterations involving oncogenes, chemokine receptors, kinases and transcription factors important in B cell development and differentiation. Assessment of smaller CNVs (less then 10 consecutive oligonucleotides) also revealed recurrent CNVs involving single genes that were clustered according to function and pathways. Comparison of paired pre-treatment and relapse samples showed differences in large CNVs in 6 out of the 14 pairs with the majority being losses within the relapse sample. In particular, relapse samples contained new losses within 2q33.1-2q37.1; 4q13.2-4q13.3; 5q31.3-5q34; 7q36.3; 10q23.1-10q25.1 11q12.3 and multiple losses within 13q14.1-13q14.3. Taken together, these data indicates that genomic instability plays a role in clonal evolution and selection after treatment in at least some patients. Analysis of a bigger cohort of matched pre-treatment and relapse samples is on-going. The importance of copy neutral LOH in B-CLL has been a subject of debate. Using the 1Mio HR-aSNP, we were able to detect multiple regions of cnLOH throughout the genome. Examination of the four regions that are known to have prognostic significance when deleted identified cnLOH involving 13q11-13q34(ter) and cnLOH of 13q21.1-q34(ter) outside the FISH region. Deletions of the 17p13.1 locus including the p53 gene confer poor prognosis in B-CLL and direct treatment decisions. Interestingly, we were able to identify cnLOH involving this region in 5% of samples. In addition, we also noticed cnLOH in 17p13.2 containing genes previously implicated in cancer. The exact pathogenetic and prognostic implications of these findings remain to be established. Conclusion Using HR-aCGH and HR-aSNP we have identified novel recurrent CNVs and regions of cnLOH in patients with B-CLL. Sequential analysis of the same patients over time suggests that at least in some patients, clonal complexity and dynamics are driven by genomic instability. Disclosures No relevant conflicts of interest to declare.


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