AB066. From imaging to molecular diagnosis: VASARI magnetic resonance imaging features to predict isocitrate dehydrogenase mutation status in glioma.

BACKGROUND: Glioma, the most common brain tumor, poses significant challenges in patient care and economic burden. Clinicians often struggle with management strategies, especially under the 2021 World Health Organization (WHO) central nervous system (CNS) classification emphasizing molecular diagnosis. Isocitrate dehydrogenase (IDH) mutation status is crucial in glioma management. However, many facilities lack the capability for comprehensive molecular tests, and not all patients are candidates for invasive biopsies. MRI offers a non-invasive method to evaluate glioma characteristics. The Visually Accessible Rembrandt Images (VASARI) MRI feature set provides a systematic approach to analyzing brain glioma. This study examines the association of VASARI features with IDH mutation status and their predictive capability. METHODS: This study included 105 glioma patients treated between 2017 and 2022 who had not undergone surgery, chemotherapy, or radiotherapy. Brain MRIs were assessed using VASARI MRI features by two blinded radiologists. Pathological and molecular examinations were conducted per the 2021 WHO CNS tumor classification. IDH mutations were assessed using polymerase chain reaction (PCR) followed by DNA sequencing. Chi-squared analysis identified VASARI features significantly associated with IDH mutation status. A random forest model predicted IDH mutation status using these features. RESULTS: Brain MRI assessments using VASARI terminology showed good inter-observer agreement (kappa =0.714-0.831) and excellent intra-observer agreement (kappa =0.910). Thirteen VASARI features were significantly associated with IDH mutation status. The prediction model based on VASARI MRI features achieved an area under the curve (AUC) of 0.97, with 93.75% sensitivity, 75% specificity, and 84.38% accuracy on test data. CONCLUSIONS: The VASARI MRI feature set is a reliable method for evaluating glioma patients and is feasible for routine radiological practice. Several VASARI features significantly associate with IDH mutation status, aiding glioma patient management. The IDH mutation prediction model based on VASARI features performs excellently and warrants further validation before routine implementation.

AB084. T2-fluid-attenuated inversion recovery (T2-FLAIR) mismatch as predictive MRI findings of diffuse astrocytoma: a case report.

BACKGROUND: Diffuse astrocytomas are a subtype of astrocytic tumors classified as World Health Organization (WHO) grade II tumors. Magnetic resonance imaging is a useful diagnostic tool for assessing diffuse astrocytomas. However, their growth pattern resembles other low-grade gliomas, such as oligodendroglioma. The potential magnetic resonance imaging (MRI) feature, T2-fluid-attenuated inversion recovery (T2-FLAIR) mismatch, may be predictive in identifying diffuse astrocytomas. This involves a hyperintense signal in T2-weighted and a hypointense signal in T2-FLAIR, which oligodendroglioma does not exhibit. CASE DESCRIPTION: A 30-year-old female seeks medical advice regarding her complaint of persistent headaches. The clinical findings suggested an anaplastic oligodendroglioma, and an MRI examination was requested to confirm. At first glance, MRI findings showed multiple cystic intratumoral and calcification, which is prone to oligodendroglioma diagnosis. However, a T2-FLAIR mismatch was observed upon closer examination, with a hyperintense signal in T2-weighted imaging and a hypointense signal in T2-FLAIR, potentially leading to diffuse astrocytoma diagnosis. Moreover, the histopathological analysis revealed isocitrate dehydrogenase (IDH)-mutant findings consistent with the characteristics of diffuse astrocytoma. Our findings of the observed T2-FLAIR mismatch were consistent with other reported cases and studies that have indicated the potential predictive value of T2-FLAIR mismatch in identifying diffuse astrocytomas. This case highlights the importance of careful observation and close examination of MRI findings, especially in differentiating between similar low-grade gliomas. The presence of a T2-FLAIR mismatch can aid clinicians in making informed decisions regarding the diagnosis and subsequent treatment plan for patients presenting with symptoms suggestive of astrocytic tumors. CONCLUSIONS: In conclusion, the T2-FLAIR mismatch sign is consistent with being the radiogenomic signature of IDH-mutant diffuse astrocytomas, as seen in our case report.

Dual manifestations: spinal and cerebellar hemangioblastomas indicative of von Hippel-Lindau syndrome.

Hemangioblastomas are rare, benign, and highly vascular tumors of the central nervous system, often associated with von Hippel-Lindau (VHL) syndrome, an autosomal dominant disorder characterized by multiple tumors. We present a case of a 32-year-old male with progressive headaches, visual disturbances, and motor deficits, who was diagnosed with multiple hemangioblastomas in the cervical-thoracic spinal cord and bilateral cerebellum through MRI. Surgical resection and histopathological biopsy confirmed the diagnosis. This case highlights the critical role of MRI in diagnosing and managing VHL-associated hemangioblastomas and underscores the importance of regular imaging for early detection and intervention of new or recurring tumors, optimizing patient outcomes.

Assessment of Meat Content and Foreign Object Detection in Cattle Meatballs Using Ultrasonography, Radiography, and Electrical Impedance Tomography Imaging.

Meat content and physically hazardous contaminants in the internal section of meatballs cannot be detected by the naked eye or surface detectors. This study is aimed at analyzing the meat content of cattle meatballs and detecting foreign objects using ultrasonography (USG), digital radiography (DR), and electrical impedance tomography (EIT). Meatballs were produced using four different meat formulations (0%, 25%, 50%, and 75% meat) and three treatments (no preservative (control), borax, and formalin preservatives). Cast iron and plastic beads were used as models of foreign objects embedded in the samples. The echogenicity, opacity, and resistivity values of each sample were evaluated and compared across groups. The results showed that the shelf life of the control meatballs was shorter than that of meatballs with preservatives. The echogenicity and opacity values for the different meat formulations were hypoechoic in USG and grey in DR. USG was able to distinguish between control and preservative-treated meatballs but could not differentiate meat content and detect foreign objects. Conversely, DR effectively assessed meat content and detected iron-based foreign objects, while EIT showed higher resistivity values for iron and plastic beads compared to the meatball bodies.

The impact of medial temporal and parietal atrophy on cognitive function in dementia.

Although medial temporal atrophy (MTA) and parietal atrophy (Koedam score) have been used to diagnose Alzheimer's disease (AD), early detection of other dementia types remains elusive. The study aims to investigate the association between these brain imaging markers and cognitive function in dementia. This cross-sectional study collected data from the Memory Clinic of Dr. Sardjito General Hospital Yogyakarta, Indonesia from January 2020 until December 2022. The cut-off value of MTA and Koedam score was set with Receiver Operating Curve. Multivariate analysis was performed to investigate the association between MTA and Koedam score with cognitive function. Of 61 patients, 22.95% had probable AD, 59.01% vascular dementia, and 18.03% mixed dementia. Correlation test showed that MTA and Koedam score were negatively associated with Montreal Cognitive Assessment-Indonesian Version (MoCA-INA) score. MTA score ≥ 3 (AUC 0.69) and Koedam score ≥ 2 (AUC 0.67) were independently associated with higher risk of poor cognitive function (OR 13.54, 95% CI 1.77-103.43, p = 0.01 and OR 5.52, 95% CI 1.08-28.19, p = 0.04). Higher MTA and Koedam score indicate worse cognitive function in dementia. Future study is needed to delineate these findings as prognostic markers of dementia severity.

Beyond invasive biopsies: using VASARI MRI features to predict grade and molecular parameters in gliomas.

BACKGROUND: Gliomas present a significant economic burden and patient management challenge. The 2021 WHO classification incorporates molecular parameters, which guide treatment decisions. However, acquiring these molecular data involves invasive biopsies, prompting a need for non-invasive diagnostic methods. This study aims to assess the potential of Visually AcceSAble Rembrandt Images (VASARI) MRI features to predict glioma characteristics such as grade, IDH mutation, and MGMT methylation status. METHODS: This study enrolled 107 glioma patients treated between 2017 and 2022, meeting specific criteria including the absence of prior chemotherapy/radiation therapy, and the presence of molecular and MRI data. Images were assessed using the 27 VASARI MRI features by two blinded radiologists. Pathological and molecular assessments were conducted according to WHO 2021 CNS Tumor classification. Cross-validation Least Absolute Shrinkage and Selection Operator (CV-LASSO) logistic regression was applied for statistical analysis to identify significant VASARI features in determining glioma grade, IDH mutation, and MGMT methylation status. RESULTS: The study demonstrated substantial observer agreement in VASARI feature evaluation (inter- and intra-observer κ = 0.714 - 0.831 and 0.910, respectively). Patient imaging characteristics varied significantly with glioma grade, IDH mutation, and MGMT methylation. A predictive model was established using VASARI features for glioma grade prediction, exhibiting an AUC of 0.995 (95% CI = 0.986 - 0.998), 100% sensitivity, and 92.86% specificity. IDH mutation status was predicted with AUC 0.930 (95% CI = 0.882 - 0.977), and improved slightly to 0.933 with 'age-at-diagnosis' added. A model predicting MGMT methylation had a satisfactory performance (AUC 0.757, 95% CI = 0.645 - 0.868), improving to 0.791 when 'age-at-diagnosis' was added. CONCLUSIONS: The T1/FLAIR ratio, enhancement quality, hemorrhage, and proportion enhancing predict glioma grade with excellent accuracy. The proportion enhancing, thickness of enhancing margin, and T1/FLAIR ratio are significant predictors for IDH mutation status. Lastly, MGMT methylation is related to the longest diameter of the lesion, edema crossing the midline, and the proportion of the non-enhancing lesion. VASARI MRI features offer non-invasive and accurate predictive models for glioma grade, IDH mutation, and MGMT methylation status, enhancing glioma patient management.

Association of Hormonal Contraception with Meningioma Location in Indonesian Patients.

BACKGROUND: Meningioma is the most common primary intracranial tumor. Previous studies have shown the possible association between hormonal contraceptive use and meningioma location. Therefore, this study aimed to analyze the association between the history of hormonal contraceptive use and the location of meningioma in the Indonesian population. METHODS: In total, 99 histologically confirmed female meningioma patients admitted to Dr. Sardjito General Hospital Yogyakarta, Indonesia, were included in this study. Data on hormonal contraception and other variables were collected from medical records. Meningioma locations were determined from brain Magnetic Resonance Imaging (MRI) or Computerized Tomography (CT) scan before surgery. RESULTS: Seventy-two (72.7%) patients had a history of hormonal contraceptive use. The subjects consist of 83 (83.8%) WHO grade I and 16 (16.2%) WHO grade II and III tumors. A total of 57 (57.6%) tumors were located in the spheno-orbital region. We found a significant association between hormonal contraceptive use and meningioma location in the spheno-orbital region (Odds ratio (OR) 2.573, p=0.038). This resulted in the patients in the hormonal contraception group having more visual impairment (p=0.044). CONCLUSION: The use of hormonal contraception is associated with the location of meningioma in the spheno-orbital region.

"Sarcopenia and intramuscular fat deposition are associated with poor survival in Indonesian patients with hepatocellular carcinoma: a retrospective study".

BACKGROUND: A large-scale Japanese study showed that low skeletal muscle index (SMI) and intramuscular fat (IMF) deposition are associated with hepatocellular carcinoma (HCC) survival. Here, we evaluated the effects of SMI and IMF on the survival of Indonesian HCC patients, whose characteristics differ from those of Japanese patients. METHODS: SMI and mean muscle attenuation (MA) were evaluated using computed tomography images of the third lumbar vertebra (L3) in a prospective cohort of 100 Indonesian HCC patients. Clinical, laboratory and body composition data were analysed using the Kaplan-Meier method and Cox regression model to investigate which factors are associated with prognosis. RESULTS: Of 100 patients, 31 were diagnosed with sarcopenia (L3 SMI value ≤36.2 cm2/m2 for men and ≤ 29.6 cm2/m2 for women), and 65 had IMF deposition (MA value ≤44.4 HU for men and ≤ 39.3 HU for women). These groups had shorter median survival than the reference groups (both P < 0.0001). In multivariable analysis, sarcopenia (hazard ratio [HR], 1.921; P = 0.016), IMF deposition (HR, 3.580; P < 0.001), Barcelona Clinic Liver Cancer (BCLC) stages C and D (HR: 2.396, P < 0.01 and HR: 6.131, P < 0.01, respectively), Japan Integrated Staging (JIS) score 4 (HR: 2.067, P = 0.020), and male gender (HR: 3.211, P < 0.001) were independently associated with mortality. CONCLUSION: Sarcopenia and IMF deposition showed superior value in combination with BCLC stage and JIS score for predicting the survival of Indonesian HCC patients. Increased awareness and strategies to prevent or reverse these factors might improve patient outcomes. (Electric word counts: 249).