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Chorioangiomas are the most common non‐trophoblastic benign vascular tumor of the placenta, highly associated with perinatal death rate. Herewith, we are reporting the prenatal diagnosis, management and postnatal outcome of a fetus referred at 33 weeks gestation with massive cardiomegaly secondary to placenta chorioangioma.

The counseling regarding the treatment option is an important objective in the management of early stages breast cancer. The purpose of this study is to present a comparison between the dosimetric aspects of 3DCRT and IMRT in the whole breast radiotherapy. Methods: Both right and left sided computed tomography simulations of 14 women with early stage breast cancer were used for our retrospective study to compare the 3DCRT and IMRT. The dose prescribed was 50 Gray (Gy) in 25 fractions to the whole breast PTV. The PTV was defined by adding unequal margins to the directional safety margin status of each lumpectomy cavity (i.e., medial, lateral, superior, inferior and deep margins measured from the tumor front after the examination of the surgical specimen: 2, 1.5, and 1 cm for resection margins < 1 cm, 1-2 cm, and > 2cm, respectively) and then modified so that it was no longer closer than 3 mm to the skin surface and was no deep than the lung-chest interface. The prescribed dose delivered in 5 fractions per week schedule. Treatment plans were compared for target minimum dose, maximum dose, mean dose, conformity index, heterogeneity index and doses to organs at risk were compared and analyzed. Results: The target coverage was achieved with 90% prescription to the 95% volume of the PTV. Conformity to the PTV was significantly higher with 3DCRT technique than IMRT. 3DCRT technique seems better in sparing critical organs parameters like lung V20 and Mean, heart, V25, Maximum, both lungs V20, Mean and Dose to the Normal Healthy tissue. Conclusion: We conclude from our study that treatment technique selection for whole Breast irradiation is an important factor in sparing the adjacent normal structures and in determining the associated risk. 3DCRT produces better conformity and heterogeneity indices of the target volume, also reduces dose to OARs and reduces the risk of radiation induced heart diseases.

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The associative classification method integrates association rule mining and classification. Constructing an efficient classifier with a small set of high quality rules is a highly important but indeed a challenging task. The lazy learning associative classification method successfully removes the need for a classifier but suffers from high computation costs. This paper proposes a Compact Highest Subset Confidence-Based Associative Classification scheme that generates compact subsets based on information gain and classifies the new samples without constructing classifiers. Experimental results show that the proposed system out performs both the traditional and the existing lazy learning associative classification methods.