Optic Perineuritis Associated With Cryptococcal Meningitis Presenting With a "Hot Orbit" in a Patient With Chronic Lymphocytic Leukemia.

ABSTRACT: A 75-year-old man presented with 3 days of progressive left retro-orbital pain, eyelid swelling, tearing, and pain with extraocular movement. His medical history was significant for type II diabetes mellitus and chronic lymphocytic leukemia, stable on no therapy since diagnosis 8 years prior. The initial examination was significant for diffuse restriction of left ocular motility, marked lid edema, and mild dyschromatopsia. Computed tomography demonstrated asymmetric left periorbital soft tissue swelling and intraconal fat stranding with an irregular left optic nerve sheath complex and clear paranasal sinuses. He was hospitalized for orbital cellulitis and treated empirically with broad-spectrum intravenous antibiotics, but his visual acuity declined over the ensuing 2 days. Subsequent MRI demonstrated left-greater-than-right circumferential optic nerve sheath enhancement, and leptomeningeal enhancement. An orbital biopsy demonstrated monoclonal B-cell lymphocyte aggregation, whereas a lumbar puncture was positive for Cryptococcus antigen with subsequent demonstration of abundant Cryptococcus by Papanicolaou stain. The final diagnosis was optic perineuritis secondary to cryptococcal meningitis presenting with orbital inflammation. Although his clinical course was complicated by immune reconstitution inflammatory syndrome, symptoms and signs of optic neuropathy ultimately resolved after 1 month of intensive antifungal therapy.

Applicability of the Paris System for veterans: high rates of undiagnosed low-grade urothelial neoplasia.

BACKGROUND: The Paris System for Reporting Urinary Cytology (TPS) is a recently developed standardized terminology system. It is well-established that urine cytology has low sensitivity for detecting low-grade urothelial neoplasia (LGUN). Though the majority of tumors are low-grade, surveillance of these lesions is important to monitor for possible progression. Herein, we compared TPS to our veteran integrated system network (VISN) to assess its applicability. We also introduced semi-quantitative scoring to further evaluate cytomorphologic features of high-grade urothelial carcinoma (HGUC). MATERIALS AND METHODS: Voided and instrumented urine cytology specimens and concurrent biopsies were reviewed from Sept 2018 - Jan 2020. Cytologic diagnoses reported using the VISN institutional system were reevaluated by staff cytopathologists and categorized according to TPS. A semi-quantitative scoring system to evaluate cytomorphologic features was devised. RESULTS: Cytology and surgical specimens from 105 patients were reviewed. The VISN and TPS reporting systems were compared and showed similar sensitivities and specificities for the detection of HGUC. Rates of biopsy-proven LGUN were high for the negative for high-grade urothelial carcinoma category (NHGUC; 27/53, 50.9%) and atypical urothelial cells (AUC; 14/30; 46.7%) compared to suspicious/positive (0/22, 0%) categories. Major and minor criteria as outlined in TPS were evaluated semi-quantitatively. CONCLUSIONS: Urine cytology has limited sensitivity for LGUN regardless of the cytologic reporting system used. There was a high rate of LGUN following NHGUC/AUC diagnoses in the Veteran population. Coarse chromatin was determined to be the least sensitive criterion for the detection of high-grade lesions and irregular chromatin rim was most specific.

Use of Deep Learning to Develop and Analyze Computational Hematoxylin and Eosin Staining of Prostate Core Biopsy Images for Tumor Diagnosis.

Importance: Histopathological diagnoses of tumors from tissue biopsy after hematoxylin and eosin (H&E) dye staining is the criterion standard for oncological care, but H&E staining requires trained operators, dyes and reagents, and precious tissue samples that cannot be reused. Objectives: To use deep learning algorithms to develop models that perform accurate computational H&E staining of native nonstained prostate core biopsy images and to develop methods for interpretation of H&E staining deep learning models and analysis of computationally stained images by computer vision and clinical approaches. Design, Setting, and Participants: This cross-sectional study used hundreds of thousands of native nonstained RGB (red, green, and blue channel) whole slide image (WSI) patches of prostate core tissue biopsies obtained from excess tissue material from prostate core biopsies performed in the course of routine clinical care between January 7, 2014, and January 7, 2017, at Brigham and Women's Hospital, Boston, Massachusetts. Biopsies were registered with their H&E-stained versions. Conditional generative adversarial neural networks (cGANs) that automate conversion of native nonstained RGB WSI to computational H&E-stained images were then trained. Deidentified whole slide images of prostate core biopsy and medical record data were transferred to Massachusetts Institute of Technology, Cambridge, for computational research. Results were shared with physicians for clinical evaluations. Data were analyzed from July 2018 to February 2019. Main Outcomes and Measures: Methods for detailed computer vision image analytics, visualization of trained cGAN model outputs, and clinical evaluation of virtually stained images were developed. The main outcome was interpretable deep learning models and computational H&E-stained images that achieved high performance in these metrics. Results: Among 38 patients who provided samples, single core biopsy images were extracted from each whole slide, resulting in 102 individual nonstained and H&E dye-stained image pairs that were compared with matched computationally stained and unstained images. Calculations showed high similarities between computationally and H&E dye-stained images, with a mean (SD) structural similarity index (SSIM) of 0.902 (0.026), Pearson correlation coefficient (PCC) of 0.962 (0.096), and peak signal to noise ratio (PSNR) of 22.821 (1.232) dB. A second cGAN performed accurate computational destaining of H&E-stained images back to their native nonstained form, with a mean (SD) SSIM of 0.900 (0.030), PCC of 0.963 (0.011), and PSNR of 25.646 (1.943) dB compared with native nonstained images. A single blind prospective study computed approximately 95% pixel-by-pixel overlap among prostate tumor annotations provided by 5 board certified pathologists on computationally stained images, compared with those on H&E dye-stained images. This study also used the first visualization and explanation of neural network kernel activation maps during H&E staining and destaining of RGB images by cGANs. High similarities between kernel activation maps of computationally and H&E-stained images (mean-squared errors <0.0005) provide additional mathematical and mechanistic validation of the staining system. Conclusions and Relevance: These findings suggest that computational H&E staining of native unlabeled RGB images of prostate core biopsy could reproduce Gleason grade tumor signatures that were easily assessed and validated by clinicians. Methods for benchmarking, visualization, and clinical validation of deep learning models and virtually H&E-stained images communicated in this study have wide applications in clinical informatics and oncology research. Clinical researchers may use these systems for early indications of possible abnormalities in native nonstained tissue biopsies prior to histopathological workflows.

Causes of false-negative for high-grade urothelial carcinoma in urine cytology.

INTRODUCTION: The Paris System for classifying urine cytology emphasizes identification of high-grade urothelial carcinoma (HGUC). The causes of false-negative urine cytologies (UC) within this system are not well described. MATERIAL AND METHODS: We identified 660 cases between 2005 and 2013 with both UC and subsequent cystoscopic biopsies. UC were classified as either Negative for HGUC or "Abnormal" ("Atypical", "Suspicious", and "Malignant"). Apparent false-negative cases were reviewed in a nonblinded fashion by two cytopathologists and two subspecialized genitourinary pathologists. RESULTS: A total of 199 of the 660 cases (30%) were histologically diagnosed as HGUC. The UC were "Abnormal" in 170/199 cases (sensitivity/specificity of 86%/71%). Twenty four apparent false negative cases were available for retrospective review. Five of 24 (21%) cystoscopic biopsies were found not to be HGUC on review (one false positive and four low-grade urothelial carcinoma (LGUC on review). Of the remaining 19 UC, 7 (29%) cytology samples were found to be truly negative on review, 11 (46%) were found to be Atypical, and 1 (4%) suspicious. Of the 12 UC that were at least "Atypical" with histologic HGUC on review: six misses (half) were attributed to obscuring inflammation/blood, four to poor preservation, eight to paucity of abnormal cells, and 1 case to interpretive error; many cases demonstrated overlapping reasons. CONCLUSION: About one fifth of apparent false negative diagnoses for HGUC can be because of overdiagnosis of HGUC by surgical pathologists. If poor preservation or obscured samples are called nondiagnostic, the sensitivity/specificity of UC for HGUC can be as high as 94%/71%. Diagn. Cytopathol. 2016;44:994-999. © 2016 Wiley Periodicals, Inc.

Utility of liquid-based cytologic examination of distal esophageal brushings in the management of Barrett esophagus: a prospective study of 45 cases.

INTRODUCTION: The goal of Barrett esophagus surveillance is to identify high-grade dysplasia (HGD) for eradication. Surveillance programs currently rely on limited histologic sampling; however, the role of cytology in this setting is not well studied. MATERIALS AND METHODS: From December 1, 2011 to March 30, 2014, 45 patients underwent 4 circumferential brushings of the distal tubular esophagus followed by standard 4-quadrant biopsies. One ThinPrep slide and 1 Cellient cellblock (Hologic, Boxborough, Mass) were prepared. Six cytopathologists evaluated each for adequacy, intestinal metaplasia (IM) and dysplasia. Findings were classified using the traditional 5-tier system used for biopsies. A prospectively modified 3-tier cytologic classification was also tested: negative for HGD, indeterminate for HGD, and HGD. Sensitivity, specificity, and kappa values (interobserver agreement) for cytology were calculated. RESULTS: Ten of 45 patients had nondiagnostic cytologies; none of whom had dysplasia on biopsy. Cytology had good sensitivity (82%) and specificity (88%) for identifying IM compared with biopsy with moderate interobserver agreement (pairwise average of Fleiss and Krippendorf kappa value = 0.589, 79% agreement). One case had IM on cytology not detected on histology. Six of 45 patients had dysplasia on biopsy including 1 intramucosal adenocarcinoma, 1 indeterminate for dysplasia, 2 high-grade dysplasias, and 2 low-grade dysplasias. A non-negative adequate cytology sample had a sensitivity of 100% and a specificity of 88% and 94% for the 5-tier and the 3-tier classification, respectively. CONCLUSIONS: Cytology appears to have good sensitivity and specificity for diagnosis of HGD, and cytology may be poised to synergize with advances in other techniques for management of patients with Barrett esophagus. Improvements in brushing devices may help to decrease the nondiagnostic rate.