Noninfectious Granulomatous Lung Disease: Radiological Findings and Differential Diagnosis.

Granulomatous lung diseases (GLDs) are a heterogeneous group of pathological entities that can have different clinical presentations and outcomes. Granulomas are histologically defined as focal aggregations of activated macrophages, Langerhans cells, and lymphocytes, and may form in the lungs when the immune system cannot eliminate a foreign antigen and attempts to barricade it. The diagnosis includes clinical evaluation, laboratory testing, and radiological imaging, which especially consists of high-resolution computed tomography. bronchoalveolar lavage, transbronchial needle aspiration or cryobiopsy, positron emission tomography, while genetic evaluation can improve the diagnostic accuracy. Differential diagnosis is challenging due to the numerous different imaging appearances with which GLDs may manifest. Indeed, GLDs include both infectious and noninfectious, and necrotizing and non-necrotizing granulomatous diseases and the imaging appearance of some GLDs may mimic malignancy, leading to confirmatory biopsy. The purposes of our review are to report the different noninfectious granulomatous entities and to show their various imaging features to help radiologists recognize them properly and make an accurate differential diagnosis.

Comparison between two packages for pectoral muscle removal on mammographic images.

BACKGROUND: Pectoral muscle removal is a fundamental preliminary step in computer-aided diagnosis systems for full-field digital mammography (FFDM). Currently, two open-source publicly available packages (LIBRA and OpenBreast) provide algorithms for pectoral muscle removal within Matlab environment. PURPOSE: To compare performance of the two packages on a single database of FFDM images. METHODS: Only mediolateral oblique (MLO) FFDM was considered because of large presence of pectoral muscle on this type of projection. For obtaining ground truth, pectoral muscle has been manually segmented by two radiologists in consensus. Both LIBRA's and OpenBreast's removal performance with respect to ground truth were compared using Dice similarity coefficient and Cohen-kappa reliability coefficient; Wilcoxon signed-rank test has been used for assessing differences in performances; Kruskal-Wallis test has been used to verify possible dependence of the performance from the breast density or image laterality. RESULTS: FFDMs from 168 consecutive women at our institution have been included in the study. Both LIBRA's Dice-index and Cohen-kappa were significantly higher than OpenBreast (Wilcoxon signed-rank test P < 0.05). No dependence on breast density or laterality has been found (Kruskal-Wallis test P > 0.05). CONCLUSION: Libra has a better performance than OpenBreast in pectoral muscle delineation so that, although our study has not a direct clinical application, these results are useful in the choice of packages for the development of complex systems for computer-aided breast evaluation.

Can Craniometry Play a Role in Cluster Headache Diagnosis? A Pilot Exploratory TC-3D Based Study.

BACKGROUND: Since the pioneering reports of the so-called leonine face in cluster headache (CH) patients, cranial and facial features of these patients have been poorly investigated with conflicting results. We aimed to investigate whether abnormalities in craniometric measurements could characterize male CH patients and represent reliable and reproducible diagnostic biomarkers able to identify CH patients. METHODS: Brain CT images were recorded between 2018 and 2020 in 24 male patients with CH and in 24 matched healthy controls (HC). Then, craniometric measurements were obtained, and logistic regression and receiver operating characteristic curves analyses were used to identify the craniometric abnormalities able to distinguish CH patients from HC. RESULTS: Logistic regression analyses showed that frontal bone height and facial width were able to discriminate, one independently from the other, CH patients from HC with an overall accuracy of 77%. The optimal cutoff score in detecting the probable presence of CH was 11.50 cm for frontal bone height and 13.30 cm for facial width. DISCUSSION: In the present study we found, for the first time by means of brain 3D computed tomography approach, abnormal craniometric measurements in CH patients when compared with HC. The absence of differences in smoke and alcohol intake suggests that the observed craniometric abnormalities may represent a specific feature of CH patients. CONCLUSION: The craniometric evaluation by means of brain 3D computed tomography could represent a widespread, noninvasive, and accurate tool to support CH diagnosis to avoid frequent misdiagnosis or delay in the diagnostic process.

Piezoelectric bone surgery in the treatment of an osteoma associated with an impacted inferior third molar: a case report.

Operative removal of impacted mandibular third molars is a common and not riskless surgical procedure. We present an emblematic case of an osteoma closely associated with an impacted third left mandibular molar treated by Mectron Piezosurgery medical ultrasonic device.