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All Journal PHARMACOLOGY, MEDICAL REPORTS, ORTHOPEDIC, AND ILLNESS DETAILS (COMORBID)
Abdulloh, Arizal
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Biochemistry, Genetics & Molecular Biology Medicine & Pharmacology Neuroscience Nursing

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LIMITED EVIDENCE ON IMAGING FOR DETECTING PROSTATE CANCER: A SYSTEMATIC REVIEW Abdulloh, Arizal
PHARMACOLOGY, MEDICAL REPORTS, ORTHOPEDIC, AND ILLNESS DETAILS Vol. 1 No. 4 (2022): OCTOBER
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/comorbid.v1i4.728

Abstract

This research aims to assess the diagnostic accuracy of imaging technology in detecting prostate cancer in patients with high PSA levels or suspicious findings in clinical examinations. The method involved searching for articles from the Medline, EMBASE, and Cochrane databases from 2011 to 2023. The selected articles used predefined inclusion criteria, and the risk of bias in individual studies was assessed using QUADAS-2. The abstracts and full texts were independently evaluated by the authors to assess the sensitivity and specificity of the imaging. The selection process followed the PRISMA 2020 guidelines. The literature search yielded 5421 abstracts, which were independently reviewed by the authors. Out of this number, 5401 abstracts were excluded due to irrelevance to the research title and abstract. Subsequently, a full review was conducted on 20 articles to assess their quality. Among the 20 articles, 14 studies were excluded because they were not original research, the PICO was not relevant, or the methods and populations used were not adequately described. Finally, six studies were included in this research, with four studies concerning MRI and two studies involving transrectal ultrasound with Doppler. Overall, the research findings indicate that the current number of imaging studies with adequate scientific quality is still limited to recommend their use beyond clinical trials for patients with high PSA levels or suspicious findings in clinical examinations. Therefore, further research is needed to strengthen and generalize these findings before imaging technology can be widely used as a diagnostic method for prostate cancer in this patient group.
IMAGING OF THE ANTERIOR COMMUNICATING ARTERY: NORMAL AND ABNORMAL FINDINGS RELATED TO ANEURYSM Abdulloh, Arizal
PHARMACOLOGY, MEDICAL REPORTS, ORTHOPEDIC, AND ILLNESS DETAILS Vol. 2 No. 1 (2023): JANUARY
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/comorbid.v2i1.753

Abstract

The anterior communicating artery (AComA) is a critical component of the Circle of Willis, serving as a vital conduit that connects the bilateral anterior cerebral arteries. This study aims to provide a comprehensive overview of the imaging characteristics of the AComA, encompassing both normal variations and abnormal findings associated with aneurysm development. Utilizing advanced imaging techniques, a thorough analysis of the AComA complex was conducted in a cohort of subjects. Normal anatomical variants were meticulously documented, highlighting variations in length, diameter, and branching patterns. Abnormal findings indicative of potential aneurysm markers was carefully assessed, encompassing variations in morphology, hemodynamic flow patterns, and wall integrity. Special attention was given to elucidate the factors contributing to aneurysm initiation within the AComA complex. The clinical significance of distinguishing between normal anatomical variations and potential pathological findings was underscored, emphasizing the critical importance of early detection and intervention to mitigate the risks associated with aneurysm rupture. The findings of this study contribute valuable insights to the field of neurovascular diagnostics and therapeutic strategies. By enhancing our understanding of the AComA and its role in aneurysm development, this research aims to empower clinicians with the knowledge needed for informed decision-making and proactive management. Ultimately, the comprehensive examination of AComA imaging, encompassing both normal and abnormal variants, holds the potential to drive advancements in cerebrovascular care and improve patient outcomes.
BI-RADS CLASSIFICATION FOR BREAST ULTRASOUND : A REVIEW Abdulloh, Arizal; Ni'mah, Ana Qomariyatun
PHARMACOLOGY, MEDICAL REPORTS, ORTHOPEDIC, AND ILLNESS DETAILS Vol. 2 No. 2 (2023): APRIL
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/comorbid.v2i2.840

Abstract

Breast cancer is the most common form of cancer in women worldwide. According to statistics from GLOBOCAN 2020, 1.2 million women are diagnosed with breast cancer each year, and 410,000 (35%) will die from this disease. Breast cancer is the most prevalent type of cancer among women in Indonesia, accounting for 30.8% of all female cancer cases in 2020 and causing 20.4% of female cancer-related deaths in the same year. Breast cancer screening plays a vital role in reducing deaths caused by breast cancer. Various breast cancer imaging techniques have been introduced for diagnosing breast cancer, such as Magnetic Resonance (MR) mammography, Ultrasound, Elastography, Mammography, and Automated Breast Ultrasound (ABUS). Ultrasound (US) and mammography are the two most important modalities for breast imaging. In younger women under the age of 35, ultrasound is the primary tool used to investigate breast problems. Even in the older age group, ultrasound plays a crucial role in breast imaging, particularly for the assessment of mass lesions. Breast ultrasound can be used for both screening and diagnostic purposes. Ultrasound evaluates breast tissue without the use of ionizing radiation or the injection of contrast material and is affordable, readily available, and well-tolerated by patients. The American College of Radiology (ACR) proposed the Breast Imaging Reporting and Data System (BI-RADS) to standardize the characterization of sonographic breast lesions according to five criteria categories: mass shape, orientation, margin, echo pattern, and posterior features.
Co-Authors Ni'mah, Ana Qomariyatun