In triple-negative breast cancer, fibrotic focus, the mitotic activity index and tumour-infiltrating lymphocytes have independent prognostic value: an observational population-based cohort study with very long follow-up.

Aims: Triple-negative breast cancer (TNBC) is prognostically and therapeutically heterogeneous. The mitotic activity index (MAI) and fibrotic focus (FF) have been established as predictors in non-TNBC but not in TNBC. Late distant metastases occur in TNBC, but previous studies had short follow-up.

Dual Functions of Androgen Receptor Overexpression in Triple-Negative Breast Cancer: A Complex Prognostic Marker.

A subset of triple-negative breast cancer (TNBC) expresses the androgen receptor (AR), but thresholds for AR positivity and its clinical significance vary. We hypothesize that objective assessment outperforms subjective methods, and that high AR negatively impacts prognosis. In a population-based TNBC cohort ( = 198) with long follow-up (4-383 months), AR expression was evaluated via subjective scoring (AR-Manual) and automated digital image analysis (AR-DIA).

Equipping computational pathology systems with artifact processing pipelines: a showcase for computation and performance trade-offs.

Background: Histopathology is a gold standard for cancer diagnosis. It involves extracting tissue specimens from suspicious areas to prepare a glass slide for a microscopic examination. However, histological tissue processing procedures result in the introduction of artifacts, which are ultimately transferred to the digitized version of glass slides, known as whole slide images (WSIs).

NMGrad: Advancing Histopathological Bladder Cancer Grading with Weakly Supervised Deep Learning.

The most prevalent form of bladder cancer is urothelial carcinoma, characterized by a high recurrence rate and substantial lifetime treatment costs for patients. Grading is a prime factor for patient risk stratification, although it suffers from inconsistencies and variations among pathologists. Moreover, absence of annotations in medical imaging renders it difficult to train deep learning models.

Nottingham prognostic x (NPx): a risk stratification tool in ER-positive HER2-negative breast cancer: a validation study.

Aims: In this study, we validate the use of Nottingham Prognostic x (NPx), consisting of tumour size, tumour grade, progesterone receptor (PR) and Ki67 in luminal BC.

Materials And Methods: Two large cohorts of luminal early-stage BC (n = 2864) were included. PR and Ki67 expression were assessed using full-face resection samples using immunohistochemistry.

Uninformed Teacher-Student for hard-samples distillation in weakly supervised mitosis localization.

Background And Objective: Mitotic activity is a crucial biomarker for diagnosing and predicting outcomes for different types of cancers, particularly breast cancer. However, manual mitosis counting is challenging and time-consuming for pathologists, with moderate reproducibility due to biopsy slide size, low mitotic cell density, and pattern heterogeneity. In recent years, deep learning methods based on convolutional neural networks (CNNs) have been proposed to address these limitations.

Image-based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno-oncology Biomarker Working Group on Breast Cancer.

Recent advances in the field of immuno-oncology have brought transformative changes in the management of cancer patients. The immune profile of tumours has been found to have key value in predicting disease prognosis and treatment response in various cancers. Multiplex immunohistochemistry and immunofluorescence have emerged as potent tools for the simultaneous detection of multiple protein biomarkers in a single tissue section, thereby expanding opportunities for molecular and immune profiling while preserving tissue samples.

Predicting Neoadjuvant Treatment Response in Triple-Negative Breast Cancer Using Machine Learning.

Background: Neoadjuvant chemotherapy (NAC) is the standard treatment for early-stage triple negative breast cancer (TNBC). The primary endpoint of NAC is a pathological complete response (pCR). NAC results in pCR in only 30-40% of TNBC patients.

Are you sure it's an artifact? Artifact detection and uncertainty quantification in histological images.

Modern cancer diagnostics involves extracting tissue specimens from suspicious areas and conducting histotechnical procedures to prepare a digitized glass slide, called Whole Slide Image (WSI), for further examination. These procedures frequently introduce different types of artifacts in the obtained WSI, and histological artifacts might influence Computational Pathology (CPATH) systems further down to a diagnostic pipeline if not excluded or handled. Deep Convolutional Neural Networks (DCNNs) have achieved promising results for the detection of some WSI artifacts, however, they do not incorporate uncertainty in their predictions.

Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer.

The clinical significance of the tumor-immune interaction in breast cancer is now established, and tumor-infiltrating lymphocytes (TILs) have emerged as predictive and prognostic biomarkers for patients with triple-negative (estrogen receptor, progesterone receptor, and HER2-negative) breast cancer and HER2-positive breast cancer. How computational assessments of TILs might complement manual TIL assessment in trial and daily practices is currently debated. Recent efforts to use machine learning (ML) to automatically evaluate TILs have shown promising results.

Spatial analyses of immune cell infiltration in cancer: current methods and future directions: A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer.

Modern histologic imaging platforms coupled with machine learning methods have provided new opportunities to map the spatial distribution of immune cells in the tumor microenvironment. However, there exists no standardized method for describing or analyzing spatial immune cell data, and most reported spatial analyses are rudimentary. In this review, we provide an overview of two approaches for reporting and analyzing spatial data (raster versus vector-based).

Is decreased tissue elasticity more important than histopathological changes in ruptures of ascending aortic aneurysms?

Background: In this study, we aimed to investigate the natural properties of ascending aortic aneurysms and to compare dilated aortic tissues of patients with ascending aortic aneurysms and the non-pathological aortic tissues of cadavers.

Methods: Between January 2017 and January 2020, a total of 14 patients (12 males, 2 females; mean age: 66.6±8.

Predicting neoadjuvant treatment response in triple-negative breast cancer using machine learning.

Background: Neoadjuvant chemotherapy (NAC) is the standard treatment for early-stage triple negative breast cancer (TNBC). The primary endpoint of NAC is a pathological complete response (pCR). NAC results in pCR in only 30%â€"40% of TNBC patients.

A spatial attention guided deep learning system for prediction of pathological complete response using breast cancer histopathology images.

Motivation: Predicting pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in triple-negative breast cancer (TNBC) patients accurately is direly needed for clinical decision making. pCR is also regarded as a strong predictor of overall survival. In this work, we propose a deep learning system to predict pCR to NAC based on serial pathology images stained with hematoxylin and eosin and two immunohistochemical biomarkers (Ki67 and PHH3).

Distinct Gene Expression Profiles of Matched Primary and Metastatic Triple-Negative Breast Cancers.

Background: Although triple-negative breast cancer (TNBC) is associated with an increased risk of recurrence and metastasis, the molecular mechanisms underlying metastasis in TNBC remain unknown. To identify transcriptional changes and genes regulating metastatic progression in TNBC, we compared the transcriptomic profiles of primary and matched metastatic tumors using massively parallel RNA sequencing. Methods: We performed gene expression profiling using formalin-fixed paraffin-embedded (FFPE) TNBC tissues of patients from two cohorts: the Zurich cohort (n = 31) and the Stavanger cohort (n = 5).

Radiological, Clinical, and Histological Findings in the Treatment of Pilonidal Sinus with Phenol Injection.

Objective: Sacrococcygeal pilonidal disease is a chronic discharging wound that causes pain and loss of quality of life. Phenol application is an outpatient procedure with low complications and low recurrence rates. We evaluated the radiological, histological, and clinical results of phenol application.

The Value of Immunohistochemical Methods and Preoperative Magnetic Resonance Imaging Findings in Diagnosis of IDH1 Mutant Glioblastomas.

Aim: To assess the presence of isocitrate dehydrogenase (IDH) 1 mutation in glioblastomas using real-time polymerase chain reaction (RT-PCR), which is the gold standard in the diagnosis of IDH1 mutation; by immunohistochemistry (IHC), which is available in most of the pathology laboratories; and by preoperative magnetic resonance imaging, which is a non-invasive method. We also investigated the relationship between these methods and their usability in routine practice.

Material And Methods: RT-PCR was performed to evaluate the presence of IDH1-R132H mutation on the blocks of 70 patients diagnosed with glioblastoma, and IDH1 stain was applied to the same blocks as IHC.

Infiltration of thyroid papillary cancer tissue with myeloid leukemic cells: a case report.

Background: Extramedullary leukemia, also known as myeloid sarcoma, is a rare form of acute myeloid leukemia and often accompanies bone marrow involvement. Myeloid infiltration of the thyroid gland is extremely rare. Here, a unique case in which thyroid cancer tissue was infiltrated with myeloid cells is presented.

Breast Recurrence of Acute Myeloid Leukemia After Bone Marrow Transplantation: A Case Report About Myeloid Sarcoma of the Breast.

Myeloid sarcoma of the breast is a rare malignancy, can be seen after bone marrow transplantation. Although there are no specific features for this malignancy which is difficult to diagnose, some common features draw attention in the published case reports. Since there is no consensus on the treatment of myeloid sarcoma of the breast, we aimed to explain our own diagnosis and treatment methods in this case report.

Solid variant of papillary thyroid carcinoma: An analysis of 28 cases with current literature.

Introduction: Solid variant papillary thyroid cancer (SVPTC) is a rare variant of papillary thyroid carcinoma (PTC) and its prognostic value is still unclear. Therefore, we re-evaluate the histopathological and clinicopathological features of 28 patients with SVPTC in the light of current literature.

Material-methods: Of the 1308 cases were previously diagnosed with PTC and 28 (2,1%) of them which had been diagnosed with SVPTC were re-evaluated retrospectively.

Giant mantle cell lymphoma in the soft tissue of the leg: rare presentation.

Background: Mantle cell lymphomas are aggressive, mature B-cell neoplasms characteristically showing overexpression of cyclin D1. Although lymphadenopathy is the most common presentation, involvement of extranodal sites including bone marrow, peripheral blood, liver, gastrointestinal system, and Waldeyer ring is also seen frequently. Soft tissue localization is extremely rare.

Cushing's disease due to a pituitary adenoma as a component of collision tumor: A case report and review of the literature.

Background: The coexistence of two morphologically different tumors attached to each other creates a very rare type of tumor called a collision tumor. Collision tumors containing pituitary adenoma-sellar meningioma have only been described in four cases to date; we discuss a fifth case harboring a collision tumor comprising a pituitary corticotroph adenoma and a sellar meningioma in the same anatomic position.

Case Presentation: A 34-year-old Caucasian woman presented with menstrual irregularity, severe weakness of the proximal muscles, and 10-15 kg weight gain within a year.