E-146 Quantitative evaluation of factors affecting tumor size reduction on wide angle fundus camera following retinoblastoma chemosurgery

Abstract Background Pleomorphic xanthoastrocytomas (PXA) are circumscribed gliomas that typically have a favorable prognosis. Limited studies have revealed factors affecting survival outcomes in PXA. Here, we analyzed the largest PXA dataset in the literature and identify factors associated with outcomes. Methods Using the Surveillance, Epidemiology, and End Results (SEER) 18 Registries database, we identified histologically confirmed PXA patients between 1994 and 2016. Overall survival (OS) was analyzed using Kaplan-Meier survival and multivariable Cox proportional hazard models. Results In total, 470 patients were diagnosed with PXA (males = 53%; median age = 23 years [14-39 years]), the majority were Caucasian (n = 367; 78%). The estimated mean OS was 193 months [95% CI: 179-206]. Multivariate analysis revealed that greater age at diagnosis (≥39 years) (3.78 [2.16-6.59], P < .0001), larger tumor size (≥30 mm) (1.97 [1.05-3.71], P = .034), and postoperative radiotherapy (RT) (2.20 [1.31-3.69], P = .003) were independent predictors of poor OS. Pediatric PXA patients had improved survival outcomes compared to their adult counterparts, in which chemotherapy (CT) was associated with worse OS. Meanwhile, in adults, females and patients with temporal lobe tumors had an improved survival; conversely, tumor size ≥30 mm and postoperative RT were associated with poor OS. Conclusions In PXA, older age and larger tumor size at diagnosis are risk factors for poor OS, while pediatric patients have remarkably improved survival. Postoperative RT and CT appear to be ineffective treatment strategies while achieving GTR confer an improved survival in male patients and remains the cornerstone of treatment. These findings can help optimize PXA treatment while minimizing side effects. However, further studies of PXAs with molecular characterization are needed.

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Use of Contrast-Enhanced Ultrasound with Sonazoid for Evaluating the Radiotherapy Efficacy for Hepatocellular Carcinoma

Diagnostics ◽

10.3390/diagnostics11030486 ◽

2021 ◽

Vol 11 (3) ◽

pp. 486

Author(s):

Akihiro Funaoka ◽

Kazushi Numata ◽

Atsuya Takeda ◽

Yusuke Saigusa ◽

Yuichirou Tsurugai ◽

...

Keyword(s):

Hepatocellular Carcinoma ◽

Retrospective Study ◽

Local Recurrence ◽

Tumor Size ◽

Size Reduction ◽

Contrast Enhanced Ultrasound ◽

Tumor Vascularity ◽

Contrast Enhanced

Radiotherapy is one of the available curative therapies for hepatocellular carcinoma (HCC). We investigate the use of contrast-enhanced ultrasound using Sonazoid (SCEUS) in evaluating the efficacy of radiotherapy for HCC. We enrolled 59 patients with 59 HCCs in this retrospective study. Tumor size and tumor vascularity were evaluated using SCEUS before and 1, 3, 7, 10, and 13 months after radiotherapy. The median follow-up period was 44.5 months (range: 16–82 months). Of the HCCs, 95% (56/59) had no local recurrence, while 5% (3/59) did. At 13 months after radiotherapy, in cases with no local recurrence, SCEUS showed a reduction in tumor vascularity in all cases, while tumor size reduction (>30% reduction, compared with pre-radiotherapy) was observed in 82.1% (46/56). In all three cases of local recurrence, vascularity and tumor size reduction were not observed during the follow-up period and residual HCCs were demonstrated pathologically. Compared with cases with local recurrence, tumor size reduction and reduction in tumor vascularity (p < 0.001) were significantly greater in cases with no local recurrence at 13 months after radiotherapy. SCEUS may be useful in evaluating radiotherapy efficacy for HCC.

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Artwork Identification in a Museum Environment: A Quantitative Evaluation of Factors Affecting Identification Accuracy

Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection - Lecture Notes in Computer Science ◽

10.1007/978-3-030-73043-7_50 ◽

2021 ◽

pp. 588-595

Author(s):

A. Lanitis ◽

Z. Theodosiou ◽

H. Partaourides

Keyword(s):

Quantitative Evaluation ◽

Identification Accuracy ◽

Factors Affecting ◽

Museum Environment

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Quantitative evaluation of factors affecting foamy oil recovery in the development of heavy hydrocarbon reservoirs

International Journal of Hydrogen Energy ◽

10.1016/j.ijhydene.2016.04.031 ◽

2016 ◽

Vol 41 (35) ◽

pp. 15624-15631 ◽

Cited By ~ 11

Author(s):

Pengcheng Liu ◽

Wenhui Li ◽

Mingqiang Hao ◽

Yongbin Wu ◽

Xiuluan Li

Keyword(s):

Quantitative Evaluation ◽

Oil Recovery ◽

Hydrocarbon Reservoirs ◽

Factors Affecting ◽

Heavy Hydrocarbon ◽

Foamy Oil

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Quantitative evaluation in tumor SPECT and the effect of tumor size: Fundamental study with phantom

Annals of Nuclear Medicine ◽

10.1007/bf03164760 ◽

1997 ◽

Vol 11 (1) ◽

pp. 51-54 ◽

Cited By ~ 5

Author(s):

Takashi Togawa ◽

Nobuharu Yui ◽

Fujimi Kinoshita ◽

Masamichi Yanagisawa

Keyword(s):

Quantitative Evaluation ◽

Tumor Size ◽

Fundamental Study

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Accuracy of breast MRI in predicting pathologic tumor size.

Journal of Clinical Oncology ◽

10.1200/jco.2012.30.15_suppl.1109 ◽

2012 ◽

Vol 30 (15_suppl) ◽

pp. 1109-1109 ◽

Cited By ~ 1

Author(s):

Kimberly Anne Caprio ◽

Anees B. Chagpar ◽

Regina Hooley ◽

Fattaneh Tavassoli ◽

Helen Honarpishe ◽

...

Keyword(s):

Breast Cancer ◽

Tumor Size ◽

Breast Mri ◽

Invasive Disease ◽

Lesion Size ◽

Planning Tool ◽

Imaging Data ◽

Factors Affecting ◽

Modest Correlation

1109 Background: MRI use as a preoperative planning tool is increasing in women with breast cancer, yet the correlation between MRI and pathologic size of cancers is unclear. The purpose of this study was to determine the accuracy of MRI in predicting pathologic tumor size, and factors that affect this correlation. Methods: Clinicopathologic and imaging data from 84 patients diagnosed with invasive or in situ breast cancer from September 2010 to October 2011 who had preoperative MRI were reviewed. 12 patients who had neoadjuvant chemotherapy were excluded. MRI detected 147 lesions in the remaining 72 patients. Concordance between MRI and pathology size was determined using Spearman rho coefficients, and factors affecting the accuracy of MRI in predicting tumor size within +/- 0.5 cm were determined. Results: There was a modest correlation between MRI and pathology size for all MRI detected lesions (benign or malignant) with a Spearman coefficient of 0.53. Of the 147 MRI detected lesions, 45 (30.6%) had pathologic and MRI size correlating within +/- 0.5 cm; 76 (51.7%) were overestimated (>0.5cm) by MRI, and 26 (17.7%) were underestimated (>0.5cm). 101 (68.7%) of the 147 lesions were found to be malignant (either with invasive disease or DCIS). In this subgroup, 35 lesions (34.7%) had an MRI size within +/- 0.5 cm of the pathologic size; 40 (39.6%) were overestimated by MRI and 26 (25.7%) were underestimated. Patient age, tumor histology, LVI and grade did not predict concordance between pathologic and MRI size. However, small MRI lesion size more accurately correlated with pathologic tumor size. While 51.1% of tumors that had concordant MRI and pathologic findings within 0.5 cm were <1 cm on MRI, no tumor found to be > 5 cm on MRI was within +/-0.5 cm on final pathology (p=0.001). Conclusions: MRI accurately predicts pathologic tumor size only when the size of the lesion on MRI is <1 cm.

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