OBJECTIVE: To investigate the correlation between MRI findings and histological features for preoperative prediction of histological grading and Ki-67 expression level in alveolar soft part sarcoma (ASPS).
METHODS: A retrospective analysis was conducted on 63 ASPS patients (Jan 2017-May 2023). All patients underwent 3.0-T MRI examinations, including conventional sequences, dynamic contrast-enhanced scans with time-intensity curve analysis, and diffusion-weighted imaging with apparent diffusion coefficient (ADC) measurements. Patients were divided into low-grade (histological Grade I) and high-grade (histological Grade II/III) groups based on pathology. Immunohistochemistry was used to assess Ki-67 expression levels in ASPS. Statistical analysis included chi-square tests, Wilcoxon rank-sum test, binary logistic regression analysis, Spearman correlation analysis, and receiver operating characteristic curve analysis of various observational data.
RESULTS: There were 29 low-grade and 34 high-grade patients (26 males and 37 females) and a wide age range (5-68 years). Distant metastasis, tumor enhancement characteristics, and ADC values were independent predictors of high-grade ASPS. High-grade ASPS had lower ADC values (p = 0.002), with an area under the curve (AUC), sensitivity, and specificity of 0.723, 79.4%, and 58.6%, respectively, for high-grade prediction. There was a negative correlation between ADC values and Ki-67 expression (r = -0.526; p < 0.001). When the cut-off value of ADC was 0.997 × 10-3 mm²/s, the AUC, sensitivity, and specificity for predicting high Ki-67 expression were 0.805, 65.6%, and 83.9%, respectively.
CONCLUSIONS: Qualitative and quantitative MRI parameters are valuable for predicting histological grading and Ki-67 expression levels in ASPS.
UNASSIGNED: This study will help provide a more nuanced understanding of ASPS and guide personalized treatment strategies.
CONCLUSIONS: There is limited research on assessing ASPS prognosis through MRI. Metastasis, enhancement, and ADC correlated with histological grade; ADC related to Ki-67 expression. MRI provides clinicians with valuable information on ASPS grading and proliferation activity.

Oral cancer is a prevalent global health issue, with significant morbidity and mortality rates. Despite available preventive measures, it remains one of the most common cancers, emphasising the need for improved diagnostic and prognostic tools. This review focuses on oral potentially malignant disorders (OPMDs), precursors to oral cancer, specifically emphasising oral epithelial dysplasia (OED). The World Health Organisation (WHO) provides a three-tier grading system for OED, and recent updates have expanded the criteria to enhance diagnostic precision. In the prognostic evaluation of OED, histological grading is presently regarded as the gold standard; however, its subjectivity and unreliability in anticipating malignant transformation or recurrence pose notable limitations. The primary objective is to investigate whether specific immunohistochemical biomarkers can enhance OED grading assessment according to the WHO classification. Biomarkers exhibit significant potential for comprehensive cancer risk evaluation, early detection, diagnosis, prognosis, and treatment optimisation. Technological advancements, including sequencing and nanotechnology, have expanded detection capabilities. Some analysed biomarkers are most frequently chosen, such as p53, Ki-67, cadherins/catenins, and other proteins used to differentiate OED grades. However, further research is needed to confirm these findings and discover new potential biomarkers for precise dysplasia grading and minimally invasive assessment of the risk of malignant transformation.

OBJECTIVE: Oral squamous cell carcinoma (OSCC) is one of the most common malignancies in the head and neck region. Particularly, high incidence rates are observed in South and Southeast Asia, attributed to the widespread use of the carcinogenic areca nut. This study aimed to investigate the clinical, epidemiological, and histopathological features of OSCC, identify prognostic factors impacting disease-free survival, and determine a post-diagnosis disease-free survival time of OSCC patients.
METHODS: Employing a descriptive cross-sectional design, the study conducted a thorough examination of the clinical, epidemiological, and histopathological aspects of OSCC among patients seeking care at a tertiary healthcare facility. Participants were personally interviewed if available, while information for unreachable or deceased individuals was extracted from archival patient records in the Oral and Maxillofacial Surgery Department, Bakhtawar Amin Medical and Dental College, Multan, Pakistan. Data analysis was performed with a significance level set at p ≤ 0.05.
RESULTS: The mean age of the patients was 54.16 ± 11.1, with a notable concentration in the 41 years and above age group, indicating a significant prevalence of OSCC in this population. The data revealed a gender bias toward males, and a substantial proportion of patients, particularly those aged 41 years and above, had unfortunately passed away. Statistical analysis using the Fisher exact test showed a significant association between age groups and patients\' current living status (p-value < 0.05).
CONCLUSIONS: Histopathologically, moderately differentiated OSCC was the most frequently encountered grade, and surgery emerged as the predominant treatment modality. The majority of patients studied had a survival period of three years or less, emphasizing the need for further exploration of factors influencing prognosis and treatment outcomes in OSCC.

UNASSIGNED: Breast cancer has the second highest mortality rate of all cancers and occurs mainly in women.
UNASSIGNED: To investigate the relationship between magnetic resonance imaging (MRI) radiomics features and histological grade of invasive ductal carcinoma (IDC) of the breast and to evaluate its diagnostic efficacy.
UNASSIGNED: The two conventional MRI quantitative indicators, i.e. the apparent diffusion coefficient (ADC) and the initial enhancement rate, were collected from 112 patients with breast cancer. The breast cancer lesions were manually segmented in dynamic contrast-enhanced MRI (DCE-MRI) and ADC images, the differences in radiomics features between Grades I, II and III IDCs were compared and the diagnostic efficacy was evaluated.
UNASSIGNED: The ADC values (0.77 ± 0.22 vs 0.91 ± 0.22 vs 0.92 ± 0.20, F= 4.204, p< 0.01), as well as the B_sum_variance (188.51 ± 67.803 vs 265.37 ± 77.86 vs 263.74 ± 82.58, F= 6.040, p< 0.01), L_energy (0.03 ± 0.02 vs 0.13 ± 0.11 vs 0.12 ± 0.14, F= 7.118, p< 0.01) and L_sum_average (0.78 ± 0.32 vs 16.34 ± 4.23 vs 015.45 ± 3.74, F= 21.860, p< 0.001) values of patients with Grade III IDC were significantly lower than those of patients with Grades I and II IDC. The B_uniform (0.15 ± 0.12 vs 0.11 ± 0.04 vs 0.12 ± 0.03, F= 3.797, p< 0.01) and L_SRE (0.85 ± 0.07 vs 0.78 ± 0.03 vs 0.79 ± 0.32, F= 3.024, p< 0.01) values of patients with Grade III IDC were significantly higher than those of patients with Grades I and II IDC. All differences were statistically significant (p< 0.05). The ADC radiomics signature model had a higher area-under-the-curve value in identifying different grades of IDC than the ADC value model and the DCE radiomics signature model (0.869 vs 0.711 vs 0.682). The accuracy (0.812 vs 0.647 vs 0.710), specificity (0.731 vs 0.435 vs 0.342), positive predictive value (0.815 vs 0.663 vs 0.669) and negative predictive value (0.753 vs 0.570 vs 0.718) of the ADC radiomics signature model were all significantly better than the ADC value model and the DCE radiomics signature model.
UNASSIGNED: ADC values and breast MRI radiomics signatures are significant in identifying the histological grades of IDC, with the ADC radiomics signatures having greater value.

UNASSIGNED: The interplay between platelet and breast cancer (BC) pathology may have the potential to represent the malignancy status itself, evidently through predicting the histopathological results of each individual. This study aims to elaborate on the diagnostic value of a higher platelet count or thrombocytosis and the histopathological status of invasive BC in our center, explaining its correlation from the diagnostic perspective.
UNASSIGNED: A retrospective cohort study was conducted using breast cancer patients\' medical records from January to March 2022 at the Haji Adam Malik General Hospital, Medan, Indonesia. The patients\' histopathological records and complete blood counts were collected from the hospital\'s medical records. We analyzed the risk analysis model in receiver operator characteristics analysis and diagnostic parameters, e.g., sensitivity and specificity, which we analyzed further using the correlation test to fulfill our objective.
UNASSIGNED: The mean age of the 69 subjects we included, in the final analysis, was 49.0 ± 11.1 years old, of whom 35 (50.7%) individuals were histologically confirmed to be high-grade BC. By applying the cut-off value of 299 × 103 cells/μL, the diagnostic value of a platelet count was 60.0 % in sensitivity, 61.8% in specificity, and an area under the curve (AUC) value of 0.597 (0.462-0.732) in 95% confidence interval (CI) as presented by receiver operating characteristic (ROC). We also found that a higher platelet count may also predict the diagnosis of invasive BC by 2.423 times as shown in the odd ratio (OR) analysis.
UNASSIGNED: Platelet counts investigation is an applicable yet potential hematological biomarker to predict invasive BC histopathological grading.

Gliomas are the most common type of central nervous system tumors in children, and the combination of histological and molecular classification is essential for prognosis and treatment. Here, we proposed a newly developed microstructural mapping technique based on diffusion-time-dependent diffusion MRI td-dMRI theory to quantify tumor cell properties and tested these microstructural markers in identifying histological grade and molecular alteration of H3K27.
This prospective study included 69 pediatric glioma patients aged 6.14 ± 3.25 years old, who underwent td-dMRI with pulsed and oscillating gradient diffusion sequences on a 3T scanner. dMRI data acquired at varying tds were fitted into a 2-compartment microstructural model to obtain intracellular fraction (fin), cell diameter, cellularity, etc. Apparent diffusivity coefficient (ADC) and T1 and T2 relaxation times were also obtained. H&E stained histology was used to validate the estimated microstructural properties.
For histological classification of low- and high-grade pediatric gliomas, the cellularity index achieved the highest area under the receiver-operating-curve (AUC) of 0.911 among all markers, while ADC, T1, and T2 showed AUCs of 0.906, 0.885, and 0.886. For molecular classification of H3K27-altered glioma in 39 midline glioma patients, cell diameter showed the highest discriminant power with an AUC of 0.918, and the combination of cell diameter and extracellular diffusivity further improved AUC to 0.929. The td-dMRI estimated fin correlated well with the histological ground truth with r = 0.7.
The td-dMRI-based microstructural properties outperformed routine MRI measurements in diagnosing pediatric gliomas, and the different microstructural features showed complementary strength in histological and molecular classifications.

Introduction Determining the histological grade of breast carcinomas before mastectomy is necessary to decide about neoadjuvant chemotherapy. Core needle biopsies used for this purpose often under-grade the tumour. The grade obtained from fine needle aspiration cytology samples will help in such situations and whenever biopsy is not done, as in a resource-poor setup. Many studies are being done to find out the cytological grading system that correlates well with histological grading. Methods This study was done between 2016 and 2019 including the cases in which both modified radical mastectomy and fine needle aspiration of the tumour had been done. Robinson\'s cytological grading was done in Papanicolaou and haematoxylin & eosin (H&E) stained cytology smears and correlated with modified Bloom-Richardson histologic grading done in modified radical mastectomy specimens. We also studied the prognostic significance of Robinson\'s method by studying the association between cytological grade and lymph node metastasis. Results Sixty cases were studied. The two methods had the same grade in 49 (81.7%) cases. They showed a significant positive correlation (Spearman correlation coefficient 0.848, p-0.0001), significant association (Chi-square test, p-0.0001), and substantial agreement (kappa value 0.72). Multiple regression analysis showed chromatin score and nucleoli score as the most influential parameters. Lymph node metastasis showed significant association with cytological grade (p-0.0003), cell dissociation score (p-0.0001), nucleoli score (p-0.01), and chromatin score (p-0.04). Conclusion Robinson\'s cytological grading is a simple, reliable adjunct/alternative to core needle biopsies for grading breast carcinomas before mastectomy. Hence, it can be made a part of routine cytology reporting of breast carcinomas. Further long-term studies will help in confirming its prognostic significance.

The aim of the present study was to compare the diagnostic performance of the main parameters derived from diffusion kurtosis imaging (DKI), intravoxel incoherent motion (IVIM) and diffusion-weighted imaging (DWI) regarding the detection and grading of hepatocellular carcinoma (HCC). A total of 78 patients diagnosed with HCC by biopsy were prospectively enrolled in the present study, and underwent routine magnetic resonance imaging (MRI), DWI, IVIM, DKI and contrast-enhanced MRI prior to surgery. Measurements, including mean diffusivity (MD), mean diffusional kurtosis (MK), true diffusion coefficient (D), pseudo-diffusion coefficient (D*), perfusion fraction (f) and apparent diffusion coefficient (ADC), were compared with grading HCC using one-way ANOVA followed by the Student-Neuman-Keuls-q post-hoc test. Spearman\'s correlation coefficient was used to analyze the correlation between each parameter and pathological grade, while the diagnostic efficiency was evaluated using a receiver operating characteristic (ROC) curve. The 78 patients enrolled in the present study were grouped into highly (n=22), moderately (n=41) or poorly (n=15) differentiated HCC groups according to the criteria of Pathology and Genetics Tumors of the Digestive System. MK values differed significantly between different grades and decreased gradually with the degree of tumor differentiation. The MD, D and ADC values in the highly differentiated HCC group were significantly higher than those in the moderately or poorly differentiated HCC groups (all P<0.001), whereas no significant differences were observed in D* or f (P=0.502 and P=0.853, respectively). A significant correlation was observed between MK, MD, D and ADC, and HCC grades (r=0.705, r=0.570, r=0.423 and r=0.687, respectively). The comparison of the ROC curves of MK, MD, D, ADC, D* and f values for predicting highly differentiated HCC suggested that MK and D were the best indicators for predicting highly differentiated HCC, as the area under the ROC curve (AUC) of MK and D was significantly higher than that of ADC (Z=2.247 and 2.428, P=0.025 and 0.016, respectively), whereas non-statistically significant differences were observed in the AUC values between MK and D (Z=0.072; P=0.942). The DKI-derived MK and IVIM-derived D values had a similar diagnostic performance and were superior to ADC in discriminating the histological grade of HCC. In addition, the combination of MK and D values exhibited an improved diagnostic performance.

One of the most common oral malignancies is oral squamous cell carcinoma (OSCC). Although the prevalence of oral cancer varies worldwide, it is generally agreed that the oral cavity is a common anatomical site for cancer, depending primarily on the country (and even particular region in some countries) and gender of the patients. Finding diagnostic markers for OSCC is critical for early diagnosis and personalised treatment of patients. Because they are overexpressed in OSCC relative to normal mucosa, cytokeratins (CKs), intermediate filaments of the cytoskeletons, are possibilities for diagnostic markers of OSCC. CK17 should be targeted as a diagnostic marker for OSCC among the CKs, as multiple other CKs have been linked to the disease. This study aims to assess the immuno-histochemistry expression of CK17 and to investigate whether there is a link between CK17 and OSCC differentiation.

Canine cutaneous mast cell tumors (ccMCTs) are currently graded according to Patnaik and Kiupel grading schemes. The qualitative and semiquantitative parameters applied in these schemes may lead to inter- and intraobserver variability. This study investigates the prognostic value of volume-weighted mean nuclear volume (vv¯), a stereological estimation that provides information about nuclear size and its variability. vv¯ of 55 ccMCTs was estimated using the \"point-sampled intercept\" method and compared with histological grade and clinical outcome. The clinical history of dogs treated with surgical excision alone was available for 30 ccMCTs. Statistical differences in vv¯ were found between grade II (x¯ = 115 ± 29 µm3) and grade III ccMCTs (x ¯= 197 ± 63 µm3), as well as between low-grade (x ¯= 113 ± 28 µm3) and high-grade ccMCTs (x¯ = 184 ± 63 µm3). An optimal cutoff value of vv¯ ≥ 150 µm3 and vv¯ ≥ 140 µm3 was determined for grade III and high-grade ccMCTs, respectively. In terms of prognosis, vv¯  was not able to predict the clinical outcome in 42% of the cases; however, cases with vv¯ <125 µm3 had a favorable outcome. These results indicate that, despite having limited prognostic value when used as a solitary parameter, vv¯ is highly reproducible and is associated with histological grade as well as with benign behavior.