<i>n-Spectra</i>: A New IM for Improved Structural Response Assessment

Graf, William P.; Lee, Y.; Goulet, Christine A.

doi:10.1061/41131(370)9

Cited by 4 publications

(4 citation statements)

References 7 publications

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“…14 Furthermore, a review by the German Society of Pediatric Oncology and Hematology (GPOH) of patients with BWT reported that maximum tumor shrinkage occurred in the first 12 weeks of chemotherapy. 32 Based on these considerations, an aim of AREN0534 was for 75% of patients to undergo definitive surgery by 12 weeks. To facilitate earlier surgical resection, all patients received three-drug therapy with vincristine/dactinomycin/doxorubicin rather than starting with just vincristine/dactinomycin and escalating if response was inadequate.…”

Section: Discussionmentioning

confidence: 99%

Results of the First Prospective Multi-institutional Treatment Study in Children With Bilateral Wilms Tumor (AREN0534)

et al. 2017

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Objective The Children's Oncology Group (COG) study AREN0534 aimed to improve EFS and OS while preserving renal tissue by intensifying pre-operative chemotherapy, completing definitive surgery by 12 weeks from diagnosis, and modifying post-operative chemotherapy based on histologic response. Summary Background Data No prospective therapeutic clinic trials in children with bilateral Wilms tumors (BWT) exist. Historical outcomes for this group were poor and often involved prolonged chemotherapy; on NWTS-5, 4-year event-free-survival (EFS) for all children with bilateral Wilms tumor was 56%. Methods Patients were enrolled and imaging studies were centrally reviewed to assess for bilateral renal lesions. They were treated with 3-drug induction chemotherapy (vincristine, dactinomycin and doxorubicin) for 6 or 12 weeks based on radiographic response followed by surgery and further chemotherapy determined by histology. Radiation therapy was provided for post-chemotherapy stage III and IV disease. Results 189/208 patients were evaluable. 4-year EFS and OS were 82.1% (95% CI: 73.5%-90.8%) and 94.9% (95% CI: 90.1%-99.7%. 23 patients relapsed and 7 had disease progression. After induction chemotherapy 163/189 (84.0%) underwent definitive surgical treatment in at least one kidney by 12 weeks and 39% retained parts of both kidneys. Surgical approaches included: unilateral total nephrectomy with contralateral partial nephrectomy (48%), bilateral partial nephrectomy (35%), unilateral total nephrectomy (10.5%), unilateral partial nephrectomy (4%) and bilateral total nephrectomies (2.5%). Conclusions This treatment approach including standardized three-drug preoperative chemotherapy, surgical resection within 12 weeks of diagnosis and response and histology-based post-operative therapy improved EFS and OS and preservation of renal parenchyma compared to historical outcomes for children with BWT.

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Section: Discussionmentioning

confidence: 99%

Results of the First Prospective Multi-institutional Treatment Study in Children With Bilateral Wilms Tumor (AREN0534)

et al. 2017

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“…14 Furthermore, a review by the German Society of Pediatric Oncology and Hematology (GPOH) of patients with BWT reported that maximum tumor shrinkage occurred in the first 12 weeks of chemotherapy. 32 Based on these considerations, an aim of AREN0534 was for 75% of patients to undergo definitive surgery by 12 weeks. To facilitate earlier surgical resection, all patients received three-drug therapy with vincristine/dactinomycin/doxorubicin rather than starting with just vincristine/ dactinomycin and escalating if response was inadequate.…”

Section: Discussionmentioning

confidence: 99%

Results of the First Prospective Multi-institutional Treatment Study in Children With Bilateral Wilms Tumor (AREN0534) A Report From the Children's Oncology Group

2018

Annals of Surgery

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Objective-The Children's Oncology Group (COG) study AREN0534 aimed to improve EFS and OS while preserving renal tissue by intensifying pre-operative chemotherapy, completing definitive surgery by 12 weeks from diagnosis, and modifying post-operative chemotherapy based on histologic response.Summary Background Data-No prospective therapeutic clinic trials in children with bilateral Wilms tumors (BWT) exist. Historical outcomes for this group were poor and often involved prolonged chemotherapy; on NWTS-5, 4-year event-free-survival (EFS) for all children with bilateral Wilms tumor was 56%.Methods-Patients were enrolled and imaging studies were centrally reviewed to assess for bilateral renal lesions. They were treated with 3-drug induction chemotherapy (vincristine, dactinomycin and doxorubicin) for 6 or 12 weeks based on radiographic response followed by surgery and further chemotherapy determined by histology. Radiation therapy was provided for post-chemotherapy stage III and IV disease.Results-189/208 patients were evaluable. 4-year EFS and OS were 82.1% (95% CI: 73.5%-90.8%) and 94.9% (95% CI: 90.1%-99.7%. 23 patients relapsed and 7 had disease progression. After induction chemotherapy 163/189 (84.0%) underwent definitive surgical treatment in at least one kidney by 12 weeks and 39% retained parts of both kidneys. Surgical approaches included: unilateral total nephrectomy with contralateral partial nephrectomy (48%), bilateral partial nephrectomy (35%), unilateral total nephrectomy (10.5%), unilateral partial nephrectomy (4%) and bilateral total nephrectomies (2.5%).Conclusions-This treatment approach including standardized three-drug preoperative chemotherapy, surgical resection within 12 weeks of diagnosis and response and histology-based post-operative therapy improved EFS and OS and preservation of renal parenchyma compared to historical outcomes for children with BWT.

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“…Computation of the R S x spectra is schematically shown in Figure 6. The RSx spectra is conceptually similar to “n-spectra” introduced by (Graf et al, 2010), although its computation is more straightforward and directly related to elastic spectral acceleration. The intuition behind R S x spectra is that it complements Sa and Da predictors by adding period specific information about the sustained amplitude of the ground motion.…”

Section: Feature Selection—efficient Ims For Collapse Predictionmentioning

confidence: 99%

Efficient intensity measures and machine learning algorithms for collapse prediction of tall buildings informed by SCEC CyberShake ground motion simulations

2020

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In contrast to approaches based on scaling of recorded seismograms, using extensive inventories of numerically simulated earthquakes avoids the need for any selection and scaling of motions which implicitly requires assumptions on intensity measures (IMs) that correlate with structural response. This study has the objectives to examine seismogram features that control the collapse response of tall buildings and to develop efficient and reliable collapse classification algorithms. To that end, machine learning techniques are applied to the results of nonlinear response history analyses of a 20-story tall building performed using about two million simulated ground motions. Feature selection of ground motion IMs generally confirms current understanding of collapse predictors based on previous studies using scaled recorded motions. In addition, interrogations of the large collection of hazard-consistent simulations demonstrate the utility of different IMs for collapse risk assessment in a way that is not possible with recorded motions. Finally, a small subset of IMs is identified and used in development of an efficient collapse classification algorithm which is tested on benchmark simulated data at several sites in the Los Angeles basin.

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n-Spectra: A New IM for Improved Structural Response Assessment

Cited by 4 publications

References 7 publications

Results of the First Prospective Multi-institutional Treatment Study in Children With Bilateral Wilms Tumor (AREN0534)

Results of the First Prospective Multi-institutional Treatment Study in Children With Bilateral Wilms Tumor (AREN0534)

Results of the First Prospective Multi-institutional Treatment Study in Children With Bilateral Wilms Tumor (AREN0534) A Report From the Children's Oncology Group

Efficient intensity measures and machine learning algorithms for collapse prediction of tall buildings informed by SCEC CyberShake ground motion simulations

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