Giant placenta chorioangioma with postpartum bleeding and uterine atony

Chorioangioma is the most commonly occurring vascular, non-malignant placental tumor in pregnancy, with a reported incidence of 1% in all examined placentas. Nonetheless, real tumor incidence remains unknown because of small specimen sizes, which contributes to a lack of detection throughout the entire gestational period. Prenatal detection and diagnosis may be possible with ultrasound screening; however, most placental chorioangioma diagnoses are postnatal, based upon histopathological studies. This article report the case of postnatal diagnosis and associated complications in a 35-year-old patient with a 6 cm × 4 cm × 4 cm placental chorioangioma.

Real-World Diagnostic Accuracy and Use of Immunohistochemical Markers in Lung Cancer Diagnostics

Objectives: Accurate and reliable diagnostics are crucial as histopathological type influences selection of treatment in lung cancer. The aim of this study was to evaluate real-world accuracy and use of immunohistochemical (IHC) staining in lung cancer diagnostics. Materials and Methods: The diagnosis and used IHC stains for small specimens with lung cancer on follow-up resection were retrospectively investigated for a 15-month period at two major sites in Sweden. Additionally, 10 pathologists individually suggested diagnostic IHC staining for 15 scanned bronchial and lung biopsies and cytological specimens. Results: In 16 (4.7%) of 338 lung cancer cases, a discordant diagnosis of potential clinical relevance was seen between a small specimen and the follow-up resection. In half of the cases, there was a different small specimen from the same investigational work-up with a concordant diagnosis. Diagnostic inaccuracy was often related to a squamous marker not included in the IHC panel (also seen for the scanned cases), the case being a neuroendocrine tumor, thyroid transcription factor-1 (TTF-1) expression in squamous cell carcinomas (with clone SPT24), or poor differentiation. IHC was used in about 95% of cases, with a higher number of stains in biopsies and in squamous cell carcinomas and especially neuroendocrine tumors. Pre-surgical transthoracic samples were more often diagnostic than bronchoscopic ones (72–85% vs. 9–53% for prevalent types). Conclusions: Although a high overall diagnostic accuracy of small specimens was seen, small changes in routine practice (such as consequent inclusion of p40 and TTF-1 clone 8G7G3/1 in the IHC panel for non-small cell cancer with unclear morphology) may lead to improvement, while reducing the number of IHC stains would be preferable from a time and cost perspective.

Small specimen techniques for estimation of tensile, fatigue, fracture and crack propagation material model parameters

Small specimen mechanical testing is an exciting and rapidly developing field in which fundamental deformation behaviours can be observed from experiments performed on comparatively small amounts of material. These methods are particularly useful when there is limited source material to facilitate a sufficient number of standard specimen tests, if any at all. Such situations include the development of new materials or when performing routine maintenance/inspection studies of in-service components, requiring that material conditions are updated with service exposure. The potentially more challenging loading conditions and complex stress states experienced by small specimens, in comparison with standard specimen geometries, has led to a tendency for these methods to be used in ranking studies rather than for fundamental material parameter determination. Classifying a specimen as ‘small’ can be subjective, and in the present work the focus is to review testing methods that utilise specimens with characteristic dimensions of less than 50 mm. By doing this, observations made here will be relevant to industrial service monitoring problems, wherein small samples of material are extracted and tested from operational components in such a way that structural integrity is not compromised. Whilst recently the majority of small specimen test techniques development have focused on the determination of creep behaviour/properties as well as sub-size tensile testing, attention is given here to small specimen testing methods for determining specific tensile, fatigue, fracture and crack growth properties. These areas are currently underrepresented in published reviews. The suitability of specimens and methods is discussed here, along with associated advantages and disadvantages.

A Complementary Relation of Fluctuations between Energy and Temperature in a Small Specimen

Research on fluctuations in energy and temperature is presented for a small specimen. The small specimen in contact with a heat bath shows energy fluctuations, [Formula: see text], at the constant temperature. On the other hand, when this small specimen is isolated from the reservoir and adiabatic isolation is kept, it exhibits temperature fluctuations, [Formula: see text], at the constant energy. This means that the temperature is unsharp if a sharp energy is assigned. A complementary relation between [Formula: see text] and [Formula: see text] is proposed in a simple formula. The connection between [Formula: see text] and [Formula: see text] is mediated by the heat capacity [Formula: see text]. This complementary relation is valid in general and it does not depend on the amount of substance. If the constituent number[Formula: see text] of the system is of the order of Avogadro’s number, then the fluctuations have been masked by large [Formula: see text]and we cannot see the influence of the fluctuations. However, when the number [Formula: see text] decreases, the intrinsic features of fluctuations come out gradually. This paper presents the quantitative analyses of the fluctuations in the energy and temperature for several physical models. Typical characteristics in the fluctuations can be clearly seen only in a small specimen, which are shown in the graphical representations. It is stressed that the values of [Formula: see text] and [Formula: see text] are defined for the different prescribed conditions specified above.

Two unusual keyhole limpets (Mollusca: Gastropoda: Fissurellidae) from southern California

Two small keyhole limpets (Mollusca: Gastropoda: Fissurellidae) were collected live by the senior author and his father (Charles Powell) in the winters of 1967 and 1968 from the side/bottom of moderately flat rocks in the low intertidal zone at Doheny Beach State Park, Dana Point, Orange County, southern California. The larger specimen was collected in the winter of 1968 and the small specimen was collected in winter of 1967. These specimens resemble the genus Lucapinella yet do not quite match any of the known species. The shells are also somewhat similar to Dendrofissurella scutellum from South Africa and two species of Amblychilepas from Australia, however neither of the Dohney Beach specimens can be attributed to those species. This possible new species is assigned to the genus Lucapinella and remains unnamed until additional specimens can be located to determine if they are a new species, a rare exotic species, or a very unusual, miniature L. callomarginata.

Automated histologic diagnosis of CNS tumors with machine learning

The discovery of a new mass involving the brain or spine typically prompts referral to a neurosurgeon to consider biopsy or surgical resection. Intraoperative decision-making depends significantly on the histologic diagnosis, which is often established when a small specimen is sent for immediate interpretation by a neuropathologist. Access to neuropathologists may be limited in resource-poor settings, which has prompted several groups to develop machine learning algorithms for automated interpretation. Most attempts have focused on fixed histopathology specimens, which do not apply in the intraoperative setting. The greatest potential for clinical impact probably lies in the automated diagnosis of intraoperative specimens. Successful future studies may use machine learning to automatically classify whole-slide intraoperative specimens among a wide array of potential diagnoses.