Predictors of Significant Histological Hepatic Abnormality in Treatment-Naive Patients Infected with HBeAg-Negative Chronic Hepatitis B

Objective

This study aimed to determine the predictors for significant hepatic abnormality (SHA), a treatment indication, by assessing demographic, laboratory, and radiological results of chronic hepatitis B (CHB) patients who underwent liver biopsy.

Materials and Methods

In this retrospective study, individuals with untreated hepatitis B e-antigen (HBeAg)-negative CHB infection were enrolled. Multivariate analysis modeling was conducted with parameters identified as predictors for SHA in univariate analysis. Optimal threshold levels for variables to predict SHA in patients with chronic hepatitis B were determined based on receiver operating characteristic (ROC) curve analysis.

Results

A total of 566 patients with untreated chronic hepatitis B were included in the cohort; 61% (345/566) were male, and the median age was 41 years (interquartile range [IQR]=34-50). Notably, 36.9% (209/566) had SHA. In the multivariate analysis, utilizing different models, age, gender, HBV-DNA, LDL, ALT, and platelet count were identified as the most reliable predictors for SHA in CHB patients. For predicting SHA, the area under the ROC curve values of HBV-DNA, AST, and ALT were 0.704 (sensitivity=62.8%, specificity=76.2%; p<0.0001), 0.747 (sensitivity=51.9%, specificity=88.9%; p<0.0001), and 0.737 (sensitivity=68.6%, specificity=68.4%; p<0.0001), respectively.

Conclusion

In our study, age, male gender, ALT, AST, HBV-DNA, LDL cholesterol, platelet count, and FIB-4 score were independent predictors of SHA in HBeAg-negative chronic hepatitis B. The most sensitive parameters for SHA were LDL and ALT. The most specific parameters were age, AST, and APRI score. SHA may occur in patients with high HBV-DNA levels, even if ALT values are normal in HBeAg-negative patients.

Outcomes of high-risk breast lesions diagnosed using image-guided core needle biopsy: results from a multicenter retrospective study

PURPOSE

The clinical management of high-risk lesions using image-guided biopsy is challenging. This study aimed to evaluate the rates at which such lesions were upgraded to malignancy and identify possible predictive factors for upgrading high-risk lesions.

METHODS

This retrospective multicenter analysis included 1.343 patients diagnosed with high-risk lesions using an image-guided core needle or vacuum-assisted biopsy (VAB). Only patients managed using an excisional biopsy or with at least one year of documented radiological follow-up were included. For each, the Breast Imaging Reporting and Data System (BI-RADS) category, number of samples, needle thickness, and lesion size were correlated with malignancy upgrade rates in different histologic subtypes. Pearson's chi-squared test, the Fisher-Freeman-Halton test, and Fisher's exact test were used for the statistical analyses.

RESULTS

The overall upgrade rate was 20.6%, with the highest rates in the subtypes of intraductal papilloma (IP) with atypia (44.7%; 55/123), followed by atypical ductal hyperplasia (ADH) (38.4%; 144/375), lobular neoplasia (LN) (12.7%; 7/55), papilloma without atypia (9.4%; 58/611), flat epithelial atypia (FEA) (8.7%; 10/114), and radial scars (RSs) (4.6%; 3/65). There was a significant relationship between the upgrade rate and BI-RADS category, number of samples, and lesion size Lesion size was the most predictive factor for an upgrade in all subtypes.

CONCLUSION

ADH and atypical IP showed considerable upgrade rates to malignancy, requiring surgical excision. The LN, IP without atypia, pure FEA, and RS subtypes showed lower malignancy rates when the BI-RADS category was lower and in smaller lesions that had been adequately sampled using VAB. After being discussed in a multidisciplinary meeting, these cases could be managed with follow-up instead of excision.

Effect of melatonin on low and high dose radiotherapy induced thyroid injury

We investigated the radioprotective effect of melatonin (MEL) against thyroid gland damage in rats caused by flattening filter (FF) and flattening filter free (FFF) single dose X-ray beams. We used 48 female rats divided into six groups of eight: group 1, untreated control group; group 2, MEL treated group; group 3, FF-low dose rate radiotherapy (FF-LDR) group; group 4, FF-LDR + MEL group; group 5, FFF-high dose rate radiotherapy (FFF-HDR) group; group 6, FFF-HDR + MEL group. Groups 2, 4 and 6 rats were injected intraperitoneally (i.p.) with 10 mg/kg MEL 15 min before exposure to radiation. The head and neck regions of each rat in groups 3 and 5 and groups 4 and 6 were irradiated with 16 Gy at 6 MV X-ray in FF and FFF beam modes. The histopathology of the thyroid gland and salient biochemical parameters were assessed in all rats 10 days after radiotherapy. We found increased inflammation, vacuolization, degradation, swelling and necrosis, and M30 apoptosis and M65 necrosis indicators in groups 3 and 5 compared to group 1; however, we found significant reductions in histopathological and biochemical parameters following application of MEL. MEL treatment before FF-LDR and FFF-HDR radiotherapy minimized thyroid gland injury due to irradiation.

Prevalence and radiologic features of elastofibroma dorsi: a CT study

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Diagnosing breast cancer tumors using stacked ensemble model

Breast cancer is the most common cancer that progresses from cells in the breast tissue among women. Early-stage detection could reduce death rates significantly, and the detection-stage determines the treatment process. Mammography is utilized to discover breast cancer at an early stage prior to any physical sign. However, mammography might return false-negative, in which case, if it is suspected that lesions might have cancer of chance greater than two percent, a biopsy is recommended. About 30 percent of biopsies result in malignancy that means the rate of unnecessary biopsies is high. So to reduce unnecessary biopsies, recently, due to its excellent capability in soft tissue imaging, Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) has been utilized to detect breast cancer. Nowadays, DCE-MRI is a highly recommended method not only to identify breast cancer but also to monitor its development, and to interpret tumorous regions. However, in addition to being a time-consuming process, the accuracy depends on radiologists’ experience. Radiomic data, on the other hand, are used in medical imaging and have the potential to extract disease characteristics that can not be seen by the naked eye. Radiomics are hard-coded features and provide crucial information about the disease where it is imaged. Conversely, deep learning methods like convolutional neural networks(CNNs) learn features automatically from the dataset. Especially in medical imaging, CNNs’ performance is better than compared to hard-coded features-based methods. However, combining the power of these two types of features increases accuracy significantly, which is especially critical in medicine. Herein, a stacked ensemble of gradient boosting and deep learning models were developed to classify breast tumors using DCE-MRI images. The model makes use of radiomics acquired from pixel information in breast DCE-MRI images. Prior to train the model, radiomics had been applied to the factor analysis to refine the feature set and eliminate unuseful features. The performance metrics, as well as the comparisons to some well-known machine learning methods, state the ensemble model outperforms its counterparts. The ensembled model’s accuracy is 94.87% and its AUC value is 0.9728. The recall and precision are 1.0 and 0.9130, respectively, whereas F1-score is 0.9545.

Dosimetric Comparison of Superflab and Specially Prepared Bolus Materials Used in Radiotherapy Practice

OBJECTIVE

This study compares standard commercial bolus material (Superflab) to custom prepared silicone dental impression material (CDIM) and play dough material (PDM) with respect to dosimetric properties and applicability by using ion chamber measurement and calculated dose values.

MATERIALS AND METHODS

The CDIM bolus was prepared by mixing dental impression silicone material with enough water to maintain a density of about 1.0 g/cm3. The prepared bolus material is applied on an RW3 solid phantom by covering 10x10 cm2 area with 0.5-1 cm thickness. Ion chamber measurements were performed separately with and without bolus material application. The setup was scanned in CT and the same procedure was repeated in the TPS using the scan data, in which the Pencil Beam Convolution dose calculation algorithm was used. To compare the effect of bolus material on tissue, the Superflab bolus and CDIM bolus were applied with 1 cm of thickness on postmastectomy scar and dose calculations on TPS were performed.

RESULTS

After comparison of the dosimetric values for Superflab, CDIM and PDM, we obtained statistically meaningful results between superflab and CDIM. For PDM, the results obtained with TPS and ion chamber measurements indicated that, it is not suitable to use in radiotherapy application due to its material properties. For the simulated skin dose values obtained at five random points on the scar tissue, the comparison of Superflab and CDIM TPS calculation results were not statistically significant.

CONCLUSION

The CDIM is easy to prepare and apply on irregular mastectomy scar tissue and it prevents formation of air gaps in the application surface. Especially for curved anatomical regions such as scar tissue, inclusion of the bolus material in treatment planning protocol will reduce dose uncertainty in application. It is safe to use CDIM as an alternative to Superflab in radiotherapy application, whereas PDM is not useful in clinical practice due to its material properties.

Correction to: A child with bilateral multiple renal cysts presenting with ascites and pleural effusion: answers

The original version of this article unfortunately contained a mistake. The answer to question 3 was presented incorrectly. The correct answer is given below.

Tacrolimus-Induced Vision Loss in a Renal Transplant Patient: Posterior Reversible Encephalopathy Syndrome

Posterior reversible encephalopathy syndrome is a rare and serious neurologic adverse effect of calcineurin inhibitors. The pathophysiology of this clinical entity is still unclear. Impaired cerebral autoregulation and endothelial dysfunction are thought to be the main pathologic processes. Imaging shows the syndrome to be characterized by vasogenic edema or cytotoxic edema in parietal and occipital areas of the brain. With regard to clinic presentation, headache, diminished visual acuity, cortical blindness, altered consciousness, seizures, and hallucinations can be seen. It is known that the clinical presentation is improved when calcineurin inhibitors are stopped early. Here, we present and evaluate a case of a cortical blindness that developed in a 36-year-old patient who had been using tacrolimus after renal transplant and who returned to health after 1 week of hospitalization.

Dosimetric Comparison of Three-Dimensional Conformal Radiotherapy (3D-CRT) and Intensity Modulated Radiotherapy Techniques (IMRT) with Radiotherapy Dose Simulations for Left-Sided Mastectomy Patients

Objective

To compare 3-dimensional conformal radiotherapy (3D-CRT) and intensity modulated radiotherapy (IMRT) techniques on the target tissue and critical organ doses in terms of dosimetry, during treatment planning of patient's post-mastectomy radiotherapy (PMRT) to the left chest wall.

Materials and Methods

Twenty breast cancer patients with left-sided post-mastectomy have selected for PMRT both 3D-CRT and IMRT techniques. Dosimetric calculation of dose simulation in Eclipse treatment planning system have been performed. Organs at risk with the maximum dose, minimum dose, mean dose, D95, conformity and homogeneity indexes and total monitor unit for the Planning Target Volume were compared in terms of the critical organ doses.

Results

There was no significant difference between the two treatment planning techniques in terms of maximum, minimum, mean dose and heterogeneity index (p>0.05). At low doses, the dose received at the heart was significantly lower with the 3D-CRT technique, but there was no statistically significant difference between the two techniques at the maximum and average doses in the high dose regions.

Conclusion

For PMRT to the left chest wall, IMRT significantly improves the conformity of plan and reduce the high-dose volumes of ipsilateral lung and heart compared to 3D-CRT, but 3D-CRT is superior in terms of low-dose volume.

Silicone Granuloma Associated with Pectoral Muscle Involvement after Ruptured Breast Implant: a Novel case report

In this study, an unusual case of a patient who was previously operated on a ruptured breast implant following silicone granuloma associated with pectoral muscle involvement is reported. A 72-year-old woman had undergone breast augmentation surgery when she was 52-year-old and silicone implant rupture 10 years later. After 10 years of ruptured silicone implant, her mammography showed diffuse, multiple high-density nodules in the left breast. The pectoral muscle was significantly hypertrophic. The magnetic resonance imaging showed that the pectoral muscle was quite hypertrophic and had heterogeneous enhancement. In clinical consideration and the presence of the suspected malignancy, a biopsy was performed. The histological analysis identified pectoral muscle and breast tissue, which had been mainly replaced by giant cells, along with an apparent foreign body response. Silicone granuloma can present itself as a soft tissue mass. Malignancy is the most important differential diagnosis. Meticulous follow-up is recommended for these patients.