4.4 Review

Microvascular morphometrics of the hypophysis and pituitary tumors: From bench to operating theatre

期刊

MICROVASCULAR RESEARCH
卷 89, 期 -, 页码 7-14

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.mvr.2013.04.009

关键词

-

向作者/读者索取更多资源

The idea that microvasculature might be a histopathological biomarker in the prognosis and treatment of tumors is garnering even more attention in the scientific community. The roles of neovascularity in tumor progression and metastasis, have become a hot-topic of investigation in cancer research. A number of methods of quantitatively analyzing pituitary adenoma microvasculature have been applied, and fractal analysis is emerging as a potential effective model for this aim. Additionally, new and more specific immunological techniques have been developed for the detection of microvessels. CD105 (Endoglin) has been proposed as a valuable antigen that marks only newly formed vessels, rather than the entire tumor microvascular system. The combination of different types of immunostaining techniques for the detection of microvessels in pituitary adenomas with fractal analysis as an objective and computer-aided technique to quantify and describe morphological aspects of microvessels has potential implications in future clinical and surgical applications. Tumor treatments, such as anti-angiogenic therapy, as well as intraoperative tools, stand to be enhanced by increasing advances in microvascular research. We here review the methods used for the quantitative analysis of microvessels of the pituitary in its physiopathological states, with the aim to show the pituitary adenoma as a model for the study of neoplastic angioarchitecture and the importance of the introduction of new techniques for the study of angiogenesis, with the relative scientific, medical and surgical implications. (C) 2013 Elsevier Inc. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Computer Science, Interdisciplinary Applications

Spherical coordinates transformation pre-processing in Deep Convolution Neural Networks for brain tumor segmentation in MRI

Carlo Russo, Sidong Liu, Antonio Di Ieva

Summary: MRI is used for brain tumor assessment, and DCNN has potential in brain tumor segmentation tasks but may fail on different dataset volumes. Utilizing a 3D spherical coordinates transform during preprocessing can improve model accuracy and generalizability.

MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING (2022)

Article Clinical Neurology

Significant venous flow alterations following brain arteriovenous malformation Surgery: Assessment by transcranial colour duplex

Kathryn Busch, Andrew Davidson, Antonio Di Ieva, Nazih Assaad, Mark Butlin, Alberto Avolio, Hosen Kiat

Summary: This study used non-invasive monitoring methods to evaluate the hemodynamic measurements of bAVM patients before and after surgery, and found significant venous changes after surgery. The velocity and pulsatility of the middle cerebral veins increased postoperatively and stabilized within 14 days.

JOURNAL OF CLINICAL NEUROSCIENCE (2022)

Review Clinical Neurology

Artificial Intelligence for Survival Prediction in Brain Tumors on Neuroimaging

Anne Jian, Sidong Liu, Antonio Di Ieva

Summary: Survival prediction for brain tumor patients is crucial for surgical planning, treatment selection, and counseling. However, current clinical factors and radiological characteristics are insufficient for accurately predicting survival, especially in heterogeneous tumors like glioma. Artificial intelligence offers powerful tools to capture hidden imaging features that reflect tumor structure and physiology, improving the accuracy of survival prediction.

NEUROSURGERY (2022)

Article Computer Science, Artificial Intelligence

Colour adaptive generative networks for stain normalisation of

Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song

Summary: Deep learning has been effective in histopathology image analysis, but stain colour variation poses challenges. Existing stain normalisation methods either use paired or unpaired images for training, suffering from domain discrepancies or risk of undertrained/overfitted models. This paper proposes a colour adaptive generative network (CAGAN) that combines supervised and unsupervised learning, introducing extra supervision with source domain images. The model is resistant to stain colour variations and uses histogram loss to ensure target domain colours. Experimental results show that the proposed method produces high-quality stain normalised images and improves benchmark algorithms by 5% to 10%.

MEDICAL IMAGE ANALYSIS (2022)

Article Clinical Neurology

The legacy of Renaissance surgeon Giovanni Andrea Dalla Croce on the history of military surgery and neurosurgery

Antonio Di Ieva, Jeffrey Rosenfeld

Summary: Giovanni Andrea Dalla Croce, a 16th-century Venetian physician, gained fame for his modern treatment of wounds. He served as the military surgeon of the Venetian Republic's naval fleet and published a comprehensive handbook on surgery, medicine, and battlefield wound treatment.

NEUROSURGICAL FOCUS (2022)

Article Chemistry, Analytical

SoftMatch: Comparing Scanpaths Using Combinatorial Spatio-Temporal Sequences with Fractal Curves

Robert Ahadizad Newport, Carlo Russo, Sidong Liu, Abdulla Al Suman, Antonio Di Ieva

Summary: Recent studies in eye gaze pattern matching have relied on string editing methods borrowed from bioinformatics. However, these methods have been found to produce false negative results in certain cases. To address this limitation, this paper introduces a new method called SoftMatch, which uses fractal curves to preserve locality and discrete Frechet distance measurements for fixation matching. Results show high levels of statistical and substantive significance when matching scanpaths during free-form viewing of unfamiliar stimuli.

SENSORS (2022)

Letter Clinical Neurology

Debunking the debulking in glioma surgery

Antonio Di Ieva

NEURO-ONCOLOGY PRACTICE (2023)

Article Medical Laboratory Technology

Artificial Intelligence-Assisted Classification of Gliomas Using Whole Slide Images

Laya Jose, Sidong Liu, Carlo Russo, Cong Cong, Yang Song, Michael Rodriguez, Antonio Di Ieva

Summary: A deep learning-based approach for automated classification of glioma histopathology images was proposed in this study. Two different deep neural network architectures were tested, and the multiclass method outperformed the ensemble method. The proposed method can assist in the diagnosis and classification of glioma histopathology images.

ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE (2023)

Article Biochemistry & Molecular Biology

Inter-Regional Proteomic Profiling of the Human Brain Using an Optimized Protein Extraction Method from Formalin-Fixed Tissue to Identify Signaling Pathways

Jennilee M. Davidson, Stephanie L. Rayner, Sidong Liu, Flora Cheng, Antonio Di Ieva, Roger S. Chung, Albert Lee

Summary: Proteomics has great potential in studying the molecular regulation of the human brain. This study compared the efficiency of two different protein-extraction buffers on formalin-fixed human brains, and found that a lysis buffer containing TrisHCl, SDS, SDC, and Triton X-100 had superior protein extraction performance. The analysis also revealed differential enrichment of proteins in different brain regions, indicating commonalities in the molecular regulation of neuroanatomically-linked brain functions. Overall, the study developed an optimized method for protein extraction from formalin-fixed human brain tissue and demonstrated its suitability for rapid and routine analysis of molecular signaling pathways in the human brain.

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2023)

Article Ecology

A new fractal index to classify forest fragmentation and disorder

Daniel Peptenatu, Ion Andronache, Helmut Ahammer, Marko Radulovic, Jennifer K. Costanza, Herbert F. Jelinek, Antonio Di Ieva, Kohei Koyama, Alexandra Grecu, Andreea Karina Gruia, Adrian-Gabriel Simion, Iulia Daniela Nedelcu, Cosmin Olteanu, Cristian-Constantin Draghici, Marian Marin, Daniel Constantin Diaconu, Rasmus Fensholt, Erica A. Newman

Summary: This study presents a new fractal fragmentation and disorder index (FFDI) that can efficiently quantify the shape and arrangement of fragments in images. Validation results show that FFDI outperforms existing metrics in resolving spatial patterns of disorder and fragmentation. The FFDI improves the monitoring and understanding of forest fragmentation from satellite imagery and may have wider applicability in biology where image analysis is used.

LANDSCAPE ECOLOGY (2023)

Article Neurosciences

The E3 Ubiquitin Ligase SCF Cyclin F Promotes Sequestosome-1/p62 Insolubility and Foci Formation and is Dysregulated in ALS and FTD Pathogenesis

Jennilee M. Davidson, Sharlynn S. L. Wu, Stephanie L. Rayner, Flora Cheng, Kimberley Duncan, Carlo Russo, Michelle Newbery, Kunjie Ding, Natalie M. Scherer, Rachelle Balez, Alberto Garcia-Redondo, Alberto Rabano, Livia Rosa-Fernandes, Lezanne Ooi, Kelly L. Williams, Marco Morsch, Ian P. Blair, Antonio Di Ieva, Shu Yang, Roger S. Chung, Albert Lee

Summary: This study reveals the role of cyclin F in regulating substrate solubility and its contribution to the pathogenesis of ALS and FTD. The ALS and FTD-associated protein p62 is identified as a substrate of cyclin F, and its aggregation is promoted by cyclin F expression. Mutations in cyclin F result in dysregulated p62 solubility and formation of p62 foci, which are associated with ALS and FTD pathogenesis.

MOLECULAR NEUROBIOLOGY (2023)

Review Clinical Neurology

Determining Contemporary Barriers to Effective Multidisciplinary Team Meetings in Neurological Surgery: A Review of the Literature

Miracle C. Anokwute, Veronica Preda, Antonio Di Ieva

Summary: This study reviewed the literature on multidisciplinary team meetings (MDTMs) in neurosurgical care and identified limiting factors that may introduce bias to patient care. Productive MDTMs were found to involve quaternary/tertiary referral centers, a nonhierarchical environment, regularly scheduled meetings, inclusion of nonmedical factors, and use of clinical guidelines and institutional protocols. However, the use of artificial intelligence to reduce bias was not described in the literature.

WORLD NEUROSURGERY (2023)

Review Oncology

Radiomics and Machine Learning in Brain Tumors and Their Habitat: A Systematic Review

Mehnaz Tabassum, Abdulla Al Suman, Eric Suero Molina, Elizabeth Pan, Antonio Di Ieva, Sidong Liu

Summary: Radiomics is a method of extracting quantitative features from medical images, providing more detailed and objective information about tumor features. Machine learning techniques can enhance tumor diagnosis, treatment response assessment, and patient prognosis prediction. However, practical application of radiomics in clinical settings still needs improvement.

CANCERS (2023)

Review Pharmacology & Pharmacy

Combination Drug Therapy of Glioblastoma: Lessons from 3D In Vitro Models and the Roadmap for Future Research

Mahsa Vaezzadeh, Ehsan Kachooei, Shivani Krishnamurthy, Preeti Manandhar, Annemarie Nadort, Gilles J. Guillemin, Antonio Di Ieva, Marina Santiago, Benjamin Heng, Anna Guller

Summary: Combination drug therapy is a promising strategy to improve treatment outcomes for glioblastoma patients. However, there is a lack of clarity in drug testing using 3D in vitro models of glioblastoma. This review explores the available literature on the application of temozolomide (TMZ) in 3D in vitro models of glioblastoma, providing a roadmap for future combination treatment research.

ADVANCED THERAPEUTICS (2023)

Proceedings Paper Computer Science, Artificial Intelligence

Adaptive Unified Contrastive Learning for Imbalanced Classification

Cong Cong, Yixing Yang, Sidong Liu, Maurice Pagnucco, Antonio Di Ieva, Shlomo Berkovsky, Yang Song

Summary: This paper proposes a novel unified feature and classifier learning framework for imbalanced medical image datasets. The model is equipped with an adaptive unified contrastive (AduC) loss to progressively adapt the model learning process. Experimental results show that the proposed method can significantly improve the classification accuracy and F1-score for medical image classification.

MACHINE LEARNING IN MEDICAL IMAGING, MLMI 2022 (2022)

Article Peripheral Vascular Disease

Differences in peripheral microcirculatory blood flow regulation in chronic kidney disease based on wavelet analysis of resting near-infrared spectroscopy

Jingting Yao, Justin D. Sprick, Jinhee Jeong, Jeanie Park, David A. Reiter

Summary: This study used time-frequency spectral analysis of resting near-infrared spectroscopy (NIRS) signals to evaluate the regulation of peripheral microvascular perfusion in CKD patients. The findings suggest that CKD patients have impaired neurogenic and endothelial functions, which may be associated with increased sympathetic activity and reduced endothelial function in CKD.

MICROVASCULAR RESEARCH (2024)

Article Peripheral Vascular Disease

Role of protein kinase D1 in vasoconstriction and haemodynamics in rats

Yoh Sugawara, Yusuke Mizuno, Shinya Oku, Yuri Sawada, Takahisa Goto

Summary: This study investigated the role of Protein kinase D (PKD) in aortic contraction and hemodynamics, finding that PKD1 plays a crucial role in these processes through phosphorylation of MYPT1 and actin polymerization in a calcium-independent manner.

MICROVASCULAR RESEARCH (2024)

Article Peripheral Vascular Disease

Quantitative evaluation of choroidal and retinal microvasculature post-alcohol consumption: A pilot study

Xuenan Zhuang, Guiqin He, Yunkao Zeng, Miaoling Li, Yongyue Su, Xuelin Chen, Yining Zhang, Yuhong Gan, Feng Wen, Xiongze Zhang

Summary: This study assessed the impact of acute, heavy alcohol consumption on the ocular microvasculature. The findings suggest that excessive alcohol consumption leads to vasoconstriction in ocular arterioles and vasodilation in capillaries, particularly evident 1-hour post-consumption.

MICROVASCULAR RESEARCH (2024)

Article Peripheral Vascular Disease

Role of mammalian target of rapamycin in the formation and progression of retinopathy of prematurity-like vascular abnormalities in neonatal rats

Ayuki Nakano, Akane Morita, Shiho Arima, Tohru Nagamitsu, Tsutomu Nakahara

Summary: This study examines the preventative and therapeutic effects of inhibiting mammalian target of rapamycin complex 1 (mTORC1) on abnormal retinal blood vessels in a rat model of retinopathy of prematurity (ROP). The results suggest that mTORC1 activation in proliferating endothelial cells contributes to the appearance and progression of ROP-like retinal blood vessels. Inhibition of mTORC1 may be a promising approach for selectively targeting abnormal retinal blood vessels in ROP.

MICROVASCULAR RESEARCH (2024)

Article Peripheral Vascular Disease

Harnessing the benefits of glycine supplementation for improved pancreatic microcirculation in type 1 diabetes mellitus

Bing Wang, Xiaohong Song, Xu Zhang, Yuan Li, Mengting Xu, Xueting Liu, Bingwei Li, Sunjing Fu, Hao Ling, Yingyu Wang, Xiaoyan Zhang, Ailing Li, Mingming Liu

Summary: This study found that glycine supplementation can improve pancreatic microcirculation in T1DM mice and reverse the production of inflammatory cytokines. Furthermore, glycine supplementation also alleviates damage to pancreatic islet and vascular tissues, suggesting a potential therapeutic effect for T1DM.

MICROVASCULAR RESEARCH (2024)

Article Peripheral Vascular Disease

Apoptosis-inducing, anti-angiogenic and anti-migratory effects of a dinuclear Pd(II) complex on breast cancer: A promising novel compound

Merve Erkisa Genel, Kaan Adacan, Selin Selvi, Deniz Erol Kutucu, Ayca Uvez, Elif Ilkay Armutak, Abdurrahman Sengul, Engin Ulukaya, Ebru Gurel Gurevin

Summary: This study investigated the anti-growth/cytotoxic effect of a dinuclear Pd(II) complex on breast cancer cell lines and confirmed its anti-migration and antiangiogenic properties. The results suggest the potential of this complex in the treatment of breast cancer.

MICROVASCULAR RESEARCH (2024)

Article Peripheral Vascular Disease

Effects of high-intensity interval training on retinal vessel diameters and oxygen saturation in patients with hypertension: A cross-sectional and randomized controlled trial

Cedric Mueller, Christoph Hauser, Justin Carrard, Konstantin Gugleta, Timo Hinrichs, Arno Schmidt-Trucksass, Henner Hanssen, Lukas Streese

Summary: This study aimed to evaluate the differences in microvascular health between normotensive individuals and patients with arterial hypertension and to assess the effects of short-term high-intensity interval training (HIIT) on microvascular health in patients with arterial hypertension. The study found that short-term HIIT can ameliorate hypertension-induced retinal microvascular abnormalities in patients with arterial hypertension.

MICROVASCULAR RESEARCH (2024)

Article Peripheral Vascular Disease

PDGFRA exhibits potential as an indicator of angiogenesis within the tumor microenvironment and is up-regulated in BLCA

Yuyang Hou, Wenjing Du, Qiong Wu, Xinyu Chai, Yinan Wang, Yingqian Mi, Yuan Tian, Mengyan Tang, Jun Li, Dongmei Yan

Summary: This study identified a prognostic signature consisting of four genes in bladder cancer patients and utilized angiogenesis-related genes and molecular subtypes to construct this signature, which could help predict survival outcomes. The study also evaluated immune cell infiltration and predicted chemotherapeutic responses, confirming the effectiveness of this prognostic signature.

MICROVASCULAR RESEARCH (2024)

Article Peripheral Vascular Disease

Vessel Metrics: A software tool for automated analysis of vascular structure in confocal imaging

Sean D. Mcgarry, Cynthia Adjekukor, Suchit Ahuja, Jasper Greysson-Wong, Idy Vien, Kristina D. Rinker, Sarah J. Childs

Summary: The article introduces a software tool called Vessel Metrics for analyzing developmental vascular microscopy images, which can expedite the analysis process and ensure consistency between research groups. The tool includes a segmentation algorithm that accurately quantifies different image types and has been validated in zebrafish and mouse models.

MICROVASCULAR RESEARCH (2024)

Article Peripheral Vascular Disease

Handheld vital microscopy for the identification of microcirculatory alterations in cervical intraepithelial neoplasia and cervical cancer

Y. P. Latul, C. Ince, N. E. van Trommel, A. van den Brandhof-van den Berg, J. P. W. R. Roovers, A. W. Kastelein

Summary: This study evaluated the real-time detection capability of handheld vital microscopy (HVM) for cervical intraepithelial neoplasia (CIN) and cervical cancer (CC). The results showed that HVM enables easy, real-time, and non-invasive assessment of cervical lesions through the detection of microvascular alterations. This method has the potential to be used for point-of-care screening, reducing unnecessary surgical interventions.

MICROVASCULAR RESEARCH (2024)

Article Peripheral Vascular Disease

Astrocytic expression of Yes-associated protein (YAP) regulates retinal neovascularization in a mouse model of oxygen-induced retinopathy

Zhifei Liu, Jieqiong Zhang, Xue Li, Qiumei Hu, Xi Chen, Linlin Luo, Liqianyu Ai, Jian Ye

Summary: The study revealed that astrocytic YAP can alleviate retinal pathological angiogenesis by inhibiting overactivation of astrocytes, thereby suppressing excessive VEGF-A production and neuroinflammation.

MICROVASCULAR RESEARCH (2024)

Article Peripheral Vascular Disease

Evidence of serial connection between the plasma volume and two interstitial fluid compartments

Robert G. Hahn

Summary: The fast-exchange interstitial fluid compartment is directly connected to the circulating blood, while the slow-exchange compartment is not.

MICROVASCULAR RESEARCH (2024)

Review Peripheral Vascular Disease

Gut microbiota dysbiosis-associated obesity and its involvement in cardiovascular diseases and type 2 diabetes. A systematic review

Nadia Hamjane, Mohcine Bennani Mechita, Naima Ghailani Nourouti, Amina Barakat

Summary: Gut microbiota dysbiosis plays a crucial role in the development of obesity-related metabolic abnormalities, including insulin resistance, type 2 diabetes, and cardiovascular diseases. Inflammation is a major mechanism linking gut microbiota dysbiosis to obesity-associated metabolic complications.

MICROVASCULAR RESEARCH (2024)

Article Peripheral Vascular Disease

Design of in vitro biomimetic experimental system and simulation analysis for transvascular transport of nano-preparation

Guangzhen Zhou, Yan Gao, Yanbin Shi, Shengnan Qiu, Guimei Lin, Xinbing Ding, Wenguang Wang, Yihua Feng, Fei Wang, Jinwei Qiao

Summary: This study utilized an in vitro biomimetic experimental system to investigate the transvascular transport of nano-preparations, and found that the pressure gradient between vascular fluid pressure and interstitial fluid pressure determines the existence of the enhanced penetration and retention effect of nanopreparations.

MICROVASCULAR RESEARCH (2024)

Article Peripheral Vascular Disease

Vascularization of the adult mouse lung grafted onto the chick chorioallantoic membrane

Kenji Chamoto, Barry C. Gibney, Willi L. Wagner, Maximilian Ackermann, Hassan A. Khalil, Steven J. Mentzer

Summary: In the study, the process of angiogenesis in adult regenerating tissue was investigated by grafting portions of the regenerating lung onto the chick chorioallantoic membrane. The results showed peri-graft angiogenesis, particularly in the cardiac lobe. Functional vascular connections were observed between the cardiac lobe and the chick chorioallantoic membrane vascular network. Elevated gene expression levels were found in the cardiac lobe compared to other lobes.

MICROVASCULAR RESEARCH (2024)