Hemorrhagic cerebral venous infarction after vein injury during intraoperative lesion resection: incidence, hemorrhagic stages, risk factors and prognosis.

Objective: Cerebral venous infarction (CVI) after vein injury during intraoperative lesion resection is associated with intracranial hemorrhage. We conducted this study to identify the incidence, clinical and imaging features, and prognosis of hemorrhage CVI. Methods: We performed a retrospective analysis of patients with confirmed CVI after vein injury who underwent craniotomy in our hospital. Postoperative clinical symptoms were observed, and imaging features were compared between patients with and without intracranial hemorrhages through CT examination. Variables were analyzed using univariate and multivariate regression analyses. Results: Among 2,767 patients who underwent craniotomy, 93 cases of injured veins were identified intraoperatively. Hemorrhagic CVI was found in 38% (35/93). Multivariate analysis revealed that midline approach, meningioma, postoperative seizures, disorders of consciousness and interval in hours < 72 h were identified as predictors of hemorrhagic CVI. After 3 months of follow-up, the prognosis was poor in 15 cases (16%, 15/93), including death (two cases), vegetative survival (four cases), and severe disability (nine cases). Conclusions: Hemorrhagic CVI, as a critical complication after venous injury, can have disastrous consequences. Do not injure known veins intraoperatively. In case of injury, requisite remedial measures should be adopted during and after surgery.

Superficial meningioma with bone involvement: surgical strategies and clinical outcomes.

INTRODUCTION: Meningiomas with bone involvement account for 4.5-17% of all intracranial meningiomas. Little is known about whether these meningiomas (WHO grade I) behave differently than meningiomas without bone involvement. We sought to study the relatively uncommon imaging manifestations of meningioma and to evaluate their clinical significance. METHODS: A single-institution retrospective cohort study of surgically treated superficial meningioma patients between 2011 and 2022 was conducted. Age, sex, preoperative imaging, operative data, and surgical outcomes were reviewed. Imaging variables and outcomes were reported for patients with bone-invading meningiomas and compared with those with nonbone-invading meningiomas. Univariate analyses were also conducted. RESULTS: Of 577 total superficial meningiomas treated surgically, 47 (8.1%) exhibited bone invasion. Most bone-invading meningiomas were parasagittal (n = 29, 61.7%). A total of 12.7% (n = 6) of patients with bone-invading meningioma had recurrence, whereas 9.1% (n = 48) of patients with non-bone-invading meningioma had recurrence (p = 0.426). No significant difference in the median time to recurrence was observed between patients with bone-invading meningiomas and patients with nonbone-invading meningiomas (69.8 months, Q1:53.1; Q3:81.4 months vs. 69.7 months, Q1:47.5; Q3:96.7; p = 0.638). CONCLUSIONS: Superficial meningioma with bone involvement had similar outcomes compared to those of superficial meningioma without bone involvement. Hyperostosis in meningioma (WHO grade I) may not be a surrogate for aggressive meningioma behavior.

Nucleus-Aware Self-Supervised Pretraining Using Unpaired Image-to-Image Translation for Histopathology Images.

Self-supervised pretraining attempts to enhance model performance by obtaining effective features from unlabeled data, and has demonstrated its effectiveness in the field of histopathology images. Despite its success, few works concentrate on the extraction of nucleus-level information, which is essential for pathologic analysis. In this work, we propose a novel nucleus-aware self-supervised pretraining framework for histopathology images. The framework aims to capture the nuclear morphology and distribution information through unpaired image-to-image translation between histopathology images and pseudo mask images. The generation process is modulated by both conditional and stochastic style representations, ensuring the reality and diversity of the generated histopathology images for pretraining. Further, an instance segmentation guided strategy is employed to capture instance-level information. The experiments on 7 datasets show that the proposed pretraining method outperforms supervised ones on Kather classification, multiple instance learning, and 5 dense-prediction tasks with the transfer learning protocol, and yields superior results than other self-supervised approaches on 8 semi-supervised tasks. Our project is publicly available at https://github.com/zhiyuns/UNITPathSSL.

Weakly supervised histopathology image segmentation with self-attention.

Accurate segmentation in histopathology images at pixel-level plays a critical role in the digital pathology workflow. The development of weakly supervised methods for histopathology image segmentation liberates pathologists from time-consuming and labor-intensive works, opening up possibilities of further automated quantitative analysis of whole-slide histopathology images. As an effective subgroup of weakly supervised methods, multiple instance learning (MIL) has achieved great success in histopathology images. In this paper, we specially treat pixels as instances so that the histopathology image segmentation task is transformed into an instance prediction task in MIL. However, the lack of relations between instances in MIL limits the further improvement of segmentation performance. Therefore, we propose a novel weakly supervised method called SA-MIL for pixel-level segmentation in histopathology images. SA-MIL introduces a self-attention mechanism into the MIL framework, which captures global correlation among all instances. In addition, we use deep supervision to make the best use of information from limited annotations in the weakly supervised method. Our approach makes up for the shortcoming that instances are independent of each other in MIL by aggregating global contextual information. We demonstrate state-of-the-art results compared to other weakly supervised methods on two histopathology image datasets. It is evident that our approach has generalization ability for the high performance on both tissue and cell histopathology datasets. There is potential in our approach for various applications in medical images.

Iodine-Mediated C═C Double Bond Cleavage toward Pyrido[2,1-b]quinazolinones.

A transition-metal-free C═C double bond cleavage reaction employing molecular iodine is described. In the presence of K2CO3 as the base, I2-mediated C═C bond cleavage followed by intramolecular annulation of N-(2-vinylaryl)pyridin-2-amine substrates produces pyrido[2,1-b]quinazolinones and related heterocyclic compounds. This reaction can be completed on a gram scale and has been successfully applied to the synthesis of compounds with important biological properties, including efflux pump inhibitory and antiallergic activities.

[Fenestration with the spinous process resection in the treatment of central protrusion of lumbar intervertebral disc].

OBJECTIVE: To explore a operative approach and its effect to the central protrusion of lumbar intervertebral disc. METHODS: From February 1999 to December 2005,34 patients with central protrusion of lumbar intervertebral disc were treated with an improved operative procedure. The study involved 25 males and 9 females with an average of 46.4 years (range, 35 to 63 years). The involved level of herniation were at L4,5 in 20 cases and L5S1 in 14 cases. Pains happened on one leg fixedly and seriously with another lightly in 21 cases, on one leg initially and lightly with another seriously later in 8 cases, on bilateral legs alike in 5 cases. Preoperative CT film showed central type in 8 cases and laterocentral type in 26 cases. The corresponding spinous process was resected on the basis of unilateral fenestration. The supraspinous ligament was retained and pulled to the opposite side for revealing spinal canal, and then diskectomy was done. The above procedure was named "fenestration with the spinous process resection". RESULTS: All the 34 patients were followed up for 1 to 5 years. The outcome was evaluated according to the standard of HOU Shu-xun, 20 cases were excellent, 11 good and 3 fair. The total rate of excellent and good was 91.2%. CONCLUSION: The "fenestration with the spinous process resection" not only completed decompression of spinal canal and diskectomy, but also retained opposite lamina and supraspinous ligament and maintained the stability of posterior vertebral column, which are a new improved approach for the central protrusion of lumbar intervertebral disc.