Incidental imaging findings of congenital rib abnormalities – a case series and review of developmental concepts

Background: Congenital rib abnormalities are found in approximately 2% of the general population. Usually, they occur in isolation and are rarely symptomatic, but they can also be associated with other malformations. Materials and methods: We reviewed imaging examinations performed over a period of 2 years (2014–2015), enabling us to identify isolated rib abnormalities in 6 adult patients. Results: The case series consisted in 3 cases with bilateral cervical ribs and 1 case each with bifid rib, costal fusion and rib pseudarthrosis. In all patients, the costal anomalies were discovered incidentally. All rib malformations were detected at thoracic radiography, except for the rib pseudarthrosis, which was identified at computed tomography (CT) scan. Differential diagnosis was made between cer­vical ribs and abnormalities of the C7 transverse process and of the first rib, while the other costal malformations were distinguished from tumoural, traumatic or inflammatory lesions of the chest wall, lung and pleura. Considering the existing knowledge on rib development, we suggest a classification of the most common types of rib malformations in three categories: (I) results of homeotic transforma­tion, referring to numerical aberrations; (II) segmentation errors, including costal fusion and bridging; (III) anomalies of resegmentation, resulting in bifid ribs. Conclusions: It is important that radiologists are familiarised with the imaging features of rib abnormalities, since these anomalies can be misinterpreted as lesions with different implications. We are convinced that the developmental classification proposed in this paper can contribute to a better understanding of this pathology. (Folia Morphol 2018; 77, 2: 386–392

The Marine Microbial Eukaryote Transcriptome Sequencing Project (MMETSP): Illuminating the Functional Diversity of Eukaryotic Life in the Oceans through Transcriptome Sequencing

Microbial ecology is plagued by problems of an abstract nature. Cell sizes are so small and population sizes so large that both are virtually incomprehensible. Niches are so far from our everyday experience as to make their very definition elusive. Organisms that may be abundant and critical to our survival are little understood, seldom described and/or cultured, and sometimes yet to be even seen. One way to confront these problems is to use data of an even more abstract nature: molecular sequence data. Massive environmental nucleic acid sequencing, such as metagenomics or metatranscriptomics, promises functional analysis of microbial communities as a whole, without prior knowledge of which organisms are in the environment or exactly how they are interacting. But sequence-based ecological studies nearly always use a comparative approach, and that requires relevant reference sequences, which are an extremely limited resource when it comes to microbial eukaryotes

The PHEMU15 catalogue and astrometric results of the Jupiter's Galilean satellite mutual occultation and eclipse observations made in 2014-2015

During the 2014-2015 mutual events season, the Institut de Mécanique Céleste et de Calcul des Éphémérides (IMCCE), Paris, France, and the Sternberg Astronomical Institute (SAI), Moscow, Russia, led an international observation campaign to record ground-based photometric observations of Galilean moon mutual occultations and eclipses.We focused on processing the complete photometric observations data base to compute new accurate astrometric positions. We used our method to derive astrometric positions from the light curves of the events. We developed an accurate photometric model of mutual occultations and eclipses, while correcting for the satellite albedos, Hapke's light scattering law, the phase effect, and the limb darkening. We processed 609 light curves, and we compared the observed positions of the satellites with the theoretical positions from IMCCE NOE-5-2010-GAL satellite ephemerides and INPOP13c planetary ephemeris. The standard deviation after fitting the light curve in equatorial positions is ±24 mas, or 75 km at Jupiter. The rms (O-C) in equatorial positions is ±50 mas, or 150 km at Jupiter. © 2017 The Author(s)