1.Bilateral Adrenal Histoplasmosis: Endoscopic Ultrasound – guided Fine Needle Aspiration as a Method of Diagnosis and Assessment
J Khairul Azhar ; H S G Jacqueline ; L K H Tony ; B H Tan ; J M Steven
The Medical Journal of Malaysia 2011;66(5):504-506
We report a case of a healthy 78 -year- old indonesian man
who presented with chronic weight loss, poor appetite and
lethargy. CT abdomen showed bilateral adrenal masses.
EUS – guided FNA was performed on the left adrenal gland.
Histopathology report was Histoplasma Capsulatum. He
recovered well with antifungal treatment without any
complication. In this case, we found that the role of EUS –
guided FNA was not only limited to diagnosis but also
helped in the prognosis of the disease since the method
was able to assess the general anatomy of the adrenal gland
better than other imaging modalities due to its close
proximity and direct visualization.
2.Bilateral adrenal histoplasmosis: endoscopic ultrasound-guided fine needle aspiration as a method of diagnosis and assessment.
Azhar, J Khairul ; Jacqueline, H S G ; Tony, L K H ; Tan, B H ; Steven, J M
The Medical Journal of Malaysia 2011;66(5):504-6
We report a case of a healthy 78-year-old indonesian man who presented with chronic weight loss, poor appetite and lethargy. CT abdomen showed bilateral adrenal masses. EUS-guided FNA was performed on the left adrenal gland. Histopathology report was Histoplasma Capsulatum. He recovered well with antifungal treatment without any complication. In this case, we found that the role of EUS -guided FNA was not only limited to diagnosis but also helped in the prognosis of the disease since the method was able to assess the general anatomy of the adrenal gland better than other imaging modalities due to its close proximity and direct visualization.
3.COVID-19 guidance on the resumption of eye surgery
Jacqueline H. King ; Jubaida M. Aquino ; Rachelle G. Anzures ; John Mark S. de Leon ; Maria Victoria A. Rondaris ; Maria Donna D. Santiago ; Cynthia V. Verzosa
Philippine Journal of Ophthalmology 2021;46(1):2-14
This document offers guidance to help the ophthalmologist plan for the safe resumption of elective surgical care.
There are 4 sections: (I) COVID-19 Awareness, (II) Preparedness, (III) Patient Issues, and (IV) Delivery of Safe
and High-Quality Care. Each section contains key issues to be addressed before elective surgery may be safely
reinstituted.
Understanding the capabilities of health facilities (e.g., testing, operating rooms) as well as the potential limitations
in manpower and supplies will remain important, while keeping an eye out on subsequent waves of COVID-19.
COVID-19
4.COVID-19 testing recommendations prior to elective ophthalmic surgeries
Jacqueline H. King ; Jubaida M. Aquino ; Rachelle G. Anzures ; John Mark S. de Leon ; Maria Victoria A. Rondaris ; Maria Donna D. Santiago ; Cynthia V. Verzosa
Philippine Journal of Ophthalmology 2021;46(1):15-19
With the resumption of elective surgeries during this COVID-19 pandemic, surgeons and facilities should implement
infection prevention and control measures to ensure the safety of patients and health care workers. This advisory
highlights the key principles, risk stratification considerations, and recommended approach regarding Covid-19
testing prior to elective ophthalmic surgeries.
COVID-19
5.DPHL:A DIA Pan-human Protein Mass Spectrometry Library for Robust Biomarker Discovery
Zhu TIANSHENG ; Zhu YI ; Xuan YUE ; Gao HUANHUAN ; Cai XUE ; Piersma R. SANDER ; Pham V. THANG ; Schelfhorst TIM ; Haas R.G.D. RICHARD ; Bijnsdorp V. IRENE ; Sun RUI ; Yue LIANG ; Ruan GUAN ; Zhang QIUSHI ; Hu MO ; Zhou YUE ; Winan J. Van Houdt ; Tessa Y.S. Le Large ; Cloos JACQUELINE ; Wojtuszkiewicz ANNA ; Koppers-Lalic DANIJELA ; B(o)ttger FRANZISKA ; Scheepbouwer CHANTAL ; Brakenhoff H. RUUD ; Geert J.L.H. van Leenders ; Ijzermans N.M. JAN ; Martens W.M. JOHN ; Steenbergen D.M. RENSKE ; Grieken C. NICOLE ; Selvarajan SATHIYAMOORTHY ; Mantoo SANGEETA ; Lee S. SZE ; Yeow J.Y. SERENE ; Alkaff M.F. SYED ; Xiang NAN ; Sun YAOTING ; Yi XIAO ; Dai SHAOZHENG ; Liu WEI ; Lu TIAN ; Wu ZHICHENG ; Liang XIAO ; Wang MAN ; Shao YINGKUAN ; Zheng XI ; Xu KAILUN ; Yang QIN ; Meng YIFAN ; Lu CONG ; Zhu JIANG ; Zheng JIN'E ; Wang BO ; Lou SAI ; Dai YIBEI ; Xu CHAO ; Yu CHENHUAN ; Ying HUAZHONG ; Lim K. TONY ; Wu JIANMIN ; Gao XIAOFEI ; Luan ZHONGZHI ; Teng XIAODONG ; Wu PENG ; Huang SHI'ANG ; Tao ZHIHUA ; Iyer G. NARAYANAN ; Zhou SHUIGENG ; Shao WENGUANG ; Lam HENRY ; Ma DING ; Ji JIAFU ; Kon L. OI ; Zheng SHU ; Aebersold RUEDI ; Jimenez R. CONNIE ; Guo TIANNAN
Genomics, Proteomics & Bioinformatics 2020;18(2):104-119
To address the increasing need for detecting and validating protein biomarkers in clinical specimens, mass spectrometry (MS)-based targeted proteomic techniques, including the selected reaction monitoring (SRM), parallel reaction monitoring (PRM), and massively parallel data-independent acquisition (DIA), have been developed. For optimal performance, they require the fragment ion spectra of targeted peptides as prior knowledge. In this report, we describe a MS pipe-line and spectral resource to support targeted proteomics studies for human tissue samples. To build the spectral resource, we integrated common open-source MS computational tools to assemble a freely accessible computational workflow based on Docker. We then applied the workflow to gen-erate DPHL, a comprehensive DIA pan-human library, from 1096 data-dependent acquisition (DDA) MS raw files for 16 types of cancer samples. This extensive spectral resource was then applied to a proteomic study of 17 prostate cancer (PCa) patients. Thereafter, PRM validation was applied to a larger study of 57 PCa patients and the differential expression of three proteins in prostate tumor was validated. As a second application, the DPHL spectral resource was applied to a study consisting of plasma samples from 19 diffuse large B cell lymphoma (DLBCL) patients and 18 healthy control subjects. Differentially expressed proteins between DLBCL patients and healthy control subjects were detected by DIA-MS and confirmed by PRM. These data demonstrate that the DPHL supports DIA and PRM MS pipelines for robust protein biomarker discovery. DPHL is freely accessible at https://www.iprox.org/page/project.html?id=IPX0001400000.