Athletic Injuries ; diagnosis ; Biomechanical Phenomena ; Humans ; Knee Injuries ; diagnosis ; physiopathology ; Magnetic Resonance Imaging

INTRODUCTIONWe aimed to compare the malignancy risk stratification of histologically proven thyroid nodules using the 2015 American Thyroid Association (ATA) Management Guidelines, 2014 British Thyroid Association (BTA) Guidelines for the Management of Thyroid Cancer and the Thyroid Imaging Reporting and Data System (TIRADS).

METHODSThyroid nodules measuring > 1 cm resected over 5.5 years were retrospectively studied. Demographic information as well as cytology and histopathology results were collected. Static ultrasonography (US) images and radiologists' reports of each resected nodules were reviewed and classified based on the above risk classification systems.

RESULTSA total of 167 thyroid nodules from 150 patients were examined. More malignant nodules were solid (78.4% vs. 62.5%; p = 0.049) or hypoechoic (70.6% vs. 28.6%; p < 0.001), and had irregular margins (35.3% vs. 8.0%; p < 0.001), taller-than-wide morphology (9.8% vs. 2.7%; p = 0.031), microcalcifications (33.3% vs. 8.0%; p < 0.001), disrupted rim calcifications (9.8% vs. 0.9%; p = 0.012) or associated abnormal cervical lymphadenopathy (13.7% vs. 0.9%; p = 0.001) compared with benign nodules. The guidelines' diagnostic performance was: ATA - sensitivity 98.0%, specificity 17.3%, positive predictive value (PPV) 35.0%, negative predictive value (NPV) 95.0%; BTA - sensitivity 90%, specificity 50.9%, PPV 45.5%, NPV 91.8%; and TIRADS - sensitivity 94.0%, specificity 28.2%, PPV 37.3%%, NPV 91.2%.

CONCLUSIONSonographic patterns outlined by the three guidelines displayed high sensitivity and NPV. Although isolated suspicious US features cannot predict malignancy risk, they should be considered when risk stratifying nodules that do not fit into particular sonographic patterns based on current guidelines.

Background: Sexually transmitted infections (STIs) are common worldwide. This study aims to determine the patterns of STIs among attendees in the Genito-Urinary Medicine (GUM) clinic of Sarawak General Hospital (SGH). Methods: This is a retrospective study. Medical records of new cases referred to GUM clinic, SGH between the year 2018 and 2020 were reviewed. Demography data, diagnosis, and clinical characteristics of STIs were reviewed and analysed using SPSS software. Results: There was a total of 225 patients with newly diagnosed STIs. Their mean age was 30.9 years old. There were 124 (55.1%) males and 101 (44.9%) females. Nearly half (46.7%) of the patients were Malay, followed by Sarawak indigenous groups (33.3%), and Chinese (18.7%). Most patients (n=119, 52.9%) were single at the time of diagnosis. Three quarters (73.3%) of the patients were heterosexual, while 47 (20.9%) patients were homosexual or bisexual, and missing data in the remaining 5.8%. Anogenital wart was the commonest STI (49.8%), followed by syphilis (n=91, 40.4%), genital herpes (n=24,10.7%) and gonorrhoea (n= 15, 6.7%). The commonest symptoms were genital growth (n= 107, 47.6%), followed by pelvic discharge (n=22, 9.8%). Conclusion The most common STIs in our study are anogenital warts, syphilis, genital herpes and gonorrhea. Effective national sexuality education in Malaysia is paramount in reducing premarital sex and STIs. Human Papillomavirus (HPV) vaccines are effective to reduce genital warts and HPV related malignancies.
Sexually Transmitted Diseases ; Papillomavirus Vaccines ; Genito-Urinary Medicine Clinic, Sarawak General Hospital (Malaysia)

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.