UNASSIGNED: Breast cancer requires multidisciplinary management. Pathologists and physicians communicate using the histopathology request form and the pathology report. There are some minimal criteria that both should respect.
UNASSIGNED: We assessed the adequacy of histopathology request forms and pathology reports in the management of female breast cancer specimens in Southern Benin.
UNASSIGNED: This was a cross-sectional, descriptive and analytical study, with retrospective data collection over 57 months (4 years and 9 months). The adequacy of the histopathology request forms and pathology reports was assessed on the basis of the recommendations of the Haute Autorité de Santé (HAS) of France. Data processing was done using SPSS software. We checked frequencies with the Chi2 test, with a significance level set at 5%.
UNASSIGNED: 31.3% of histopathology request forms complied with HAS recommendations. Pathology reports were presented in a narrative way in 92.7% of cases and 68.8% met the minimal criteria. The presence of vascular embolus, of hormone receptors and the HER2 status were all reported in only 29.2% of the reports.
UNASSIGNED: The draft of histopathology request forms and pathology reports did not comply to the required minimal criteria. This situation could mainly be explained by the inexistence of consensus between physicians and pathologists and by the lack of immunohistochemistry. Editing national referentials and using synoptic reports would give better results.

This paper describes the development of Health Level Seven Fast Healthcare Interoperability Resource (FHIR) profiles for pathology reports integrated with whole slide images and clinical data to create a pathology research database. A report template was designed to collect structured reports, enabling pathologists to select structured terms based on a checklist, allowing for the standardization of terms used to describe tumor features. We gathered and analyzed 190 non-small-cell lung cancer pathology reports in free text format, which were then structured by mapping the itemized vocabulary to FHIR observation resources, using international standard terminologies, such as the International Classification of Diseases, LOINC, and SNOMED CT. The resulting FHIR profiles were published as an implementation guide, which includes 25 profiles for essential data elements, value sets, and structured definitions for integrating clinical data and pathology images associated with the pathology report. These profiles enable the exchange of structured data between systems and facilitate the integration of pathology data into electronic health records, which can improve the quality of care for patients with cancer.

In examining deaths resulting from gunshot wounds, it is important to describe the wound pathway created by the projectile. Forensic pathologists must identify all entrance and exit wounds and account for all projectiles. Occasionally, confusion arises as to whether a skin defect represents an entrance wound or not, an exit wound, or some other type of wound. Herein, we propose the descriptor \"bullet track skin defect\" as a formal description for a superficial skin defect created along the pathway of a projectile within the body. Specifically, we define the \"bullet track skin defect\" as a partial- or full-thickness skin defect produced by a projectile traveling beneath the skin in a relatively tangential fashion as part of a wound pathway within the body. It is somewhat analogous to a traditional graze or superficial tangential wound, wherein the projectile traveling outside the body strikes the skin tangentially from above, without entering the body. However, the projectile is already traveling within the body with the bullet track skin defect, disrupting the skin tangentially from below rather than from above, without exiting the body. Although these defects are not a common presentation of gunshot wounds, they are certainly not rare. With this case series, we suggest that such defects may be referred to as \"bullet track skin defects.\" Alternative language that can substitute for \"bullet track skin defects\" includes \"bullet track skin wounds\" or \"bullet track cutaneous defects.\"

UNASSIGNED: A prior study in this journal, \"Clinicians Are from Mars and Pathologists Are From Venus,\" demonstrated that clinicians can erroneously interpret pathology reports up to 30% of the time. After noticing reporting heterogeneity in the setting of inflammatory bowel disease (IBD), we speculated that a standardized synoptic report could improve gastroenterologist comprehension.
UNASSIGNED: To investigate the effect of a synoptic table on gastroenterologist comprehension of IBD pathology reports.
UNASSIGNED: We recruited gastroenterology fellows and faculty to participate in this study. All participants were given 6 pathology reports and asked if the following were present: active inflammation, chronic inflammation, IBD, and dysplasia. Participants were also asked to rate their confidence. After a 6-week washout period, the same questionnaire was distributed with a synoptic report. We performed paired t-tests to compare the mean accuracy and confidence scores between the preintervention and postintervention responses.
UNASSIGNED: A total of 39 physicians participated: 9 fellows and 30 faculty. Mean accuracy scores were higher after the intervention (0.81 versus 0.86; P < .001). Mean confidence was also higher after intervention, but this was not statistically significant (3.91 versus 3.98; P = .24).
UNASSIGNED: The improvement in accuracy scores after intervention confirms that clinician comprehension improved with the synoptic table. A synoptic report may provide a standardized way of communicating diagnostic information to clinicians in the setting of IBD and potentially other inflammatory conditions.

The prognosis of renal cell carcinoma (RCC) malignant neoplasms deeply relies on an accurate determination of the histological subtype, which currently involves the light microscopy visual analysis of histological slides, considering notably tumor architecture and cytology. RCC subtyping is therefore a time-consuming and tedious process, sometimes requiring expert review, with great impact on diagnosis, prognosis and treatment of RCC neoplasms. In this study, we investigate the automatic RCC subtyping classification of 91 patients, diagnosed with clear cell RCC, papillary RCC, chromophobe RCC, or renal oncocytoma, through deep learning based methodologies. We show how the classification performance of several state-of-the-art Convolutional Neural Networks (CNNs) are perfectible among the different RCC subtypes. Thus, we introduce a new classification model leveraging a combination of supervised deep learning models (specifically CNNs) and pathologist\'s expertise, giving birth to a hybrid approach that we termed ExpertDeepTree (ExpertDT). Our findings prove ExpertDT\'s superior capability in the RCC subtyping task, with respect to traditional CNNs, and suggest that introducing some expert-based knowledge into deep learning models may be a valuable solution for complex classification cases.

Background Large language models (LLMs), such as ChatGPT-3.5, Google Bard, and Microsoft Bing, have shown promising capabilities in various natural language processing (NLP) tasks. However, their performance and accuracy in solving domain-specific questions, particularly in the field of hematology, have not been extensively investigated. Objective This study aimed to explore the capability of LLMs, namely, ChatGPT-3.5, Google Bard, and Microsoft Bing (Precise), in solving hematology-related cases and comparing their performance. Methods This was a cross-sectional study conducted in the Department of Physiology and Pathology, All India Institute of Medical Sciences, Deoghar, Jharkhand, India. We curated a set of 50 cases on hematology covering a range of topics and complexities. The dataset included queries related to blood disorders, hematologic malignancies, laboratory test parameters, calculations, and treatment options. Each case and related question was prepared with a set of correct answers to compare with. We utilized ChatGPT-3.5, Google Bard Experiment, and Microsoft Bing (Precise) for question-answering tasks. The answers were checked by two physiologists and one pathologist. They rated the answers on a rating scale from one to five. The average score of the three models was compared by Friedman\'s test with Dunn\'s post-hoc test. The performance of the LLMs was compared with a median of 2.5 by a one-sample median test as the curriculum from which the questions were curated has a 50% pass grade. Results The scores among the three LLMs were significantly different (p-value < 0.0001) with the highest score by ChatGPT (3.15±1.19), followed by Bard (2.23±1.17) and Bing (1.98±1.01). The score of ChatGPT was significantly higher than 50% (p-value = 0.0004), Bard\'s score was close to 50% (p-value = 0.38), and Bing\'s score was significantly lower than the pass score (p-value = 0.0015). Conclusion The LLMs reveal significant differences in solving case vignettes in hematology. ChatGPT exhibited the highest score, followed by Google Bard and Microsoft Bing. The observed performance trends suggest that ChatGPT holds promising potential in the medical domain. However, none of the models was capable of answering all questions accurately. Further research and optimization of language models can offer valuable contributions to healthcare and medical education applications.

Placental examination, frequently performed by general surgical pathologists, plays an important role in understanding patient outcomes and explaining the underlying mechanisms leading to preterm birth (PTB). This secondary analysis of a larger study recurrent PTB aimed to compare diagnoses between general surgical pathologists (GSP) and a perinatal pathologist (PP) in preterm placentas examined between 2009 and 2018 at a single institution. Pathology diagnoses were coded into 4 categories (acute inflammation [AI], chronic inflammation, fetal vascular malperfusion, maternal vascular malperfusion) based on original reports for the GSP and second review by the single PP. A total of 331 placentas were included, representing placentas finalized by 17 GSPs. The prevalence of all 4 placental diagnostic categories was higher for the PP, and nearly half (49.2%) of placentas finalized by GSP had no diagnostic findings. Agreement was highest for AI at κ=0.50 (weak agreement). However, there was no agreement for maternal vascular malperfusion (κ=0.063), chronic inflammation (κ=0.0026), and fetal vascular malperfusion (κ = -0.018). Chronic basal deciduitis with plasma cells had the highest false-negative rate (missed in 107 cases by GSP). Villous infarction had the highest false-positive rate (overcalled in 28/41 [68%] cases) with the majority of the \"infarcts\" representing intervillous thrombi. In conclusion, there is no agreement between GSP and PP when assessing placental pathology other than AI, and weak agreement even for AI. These findings are a call to action to implement educational efforts and structural/organizational changes to improve consistency of placental pathology reporting.

The immunohistochemical (IHC) expression of PD-L1 in cancer models is used as a predictive biomarker of response to immunotherapy. We aimed to evaluate the impact of the usage of 3 different tissue processors in the IHC expression of PD-L1 antibody clones: 22C3 and SP142. Three different topographies of samples (n = 73) were selected at the macroscopy room: 39 uterine leiomyomas, 17 placentas and 17 palatine tonsils. Three fragments were collected from each sample and were inked with a specific color that represented their separate processing in a different tissue processor (A, B or C). During embedding, the 3 fragments with distinct processing were ensemble in the same cassette for sectioning of 3 slides/each: hematoxylin-eosin, 22C3 PDL1 IHC staining and SP142 PD-L1 IHC staining, that were blindly observed by 2 pathologists under digital environment. All but one set of 3 fragments were considered adequate for observation even in the presence of artifacts associated with processing issues that were recorded as high as 50.7 % for processor C. The occurrence of background non-specific staining and the presence of false positive results appear to be unrelated with the PD-L1 clone or the type of tissue processing. 22C3 PD-L1 was more frequently considered adequate for evaluation than SP142 PD-L1 that, in 29.2 % of WSIs (after tissue processor C) were considered not adequate for observation due to lack of the typical pattern of expression. Similarly, the intensity of PD-L1 staining was significantly decreased in fragments processed by C (both PD-L1 clones) in tonsil and placenta specimens, and by A (both clones) in comparison with those processed by B. This study demonstrates the need to standardize the tissue processing in pathology to cope with the growing needs of precision medicine quantifications and the production of high-quality material necessary for computational pathology usage.

Endocrine neoplasia represents an increasingly broad spectrum of disorders. Endocrine neoplasms range from incidental findings to potentially lethal malignancies. In this paper, we cover the impact of pathology in the interpretation of the clinic-pathological, genetic, and radiographic features underpinning these neoplasms. We highlight the critical role of multidisciplinary interactions in structuring a rational diagnostic and efficient therapeutic plan and emphasize the role of histopathological input in decision-making. In this context, standardized pathology reporting and second opinion endocrine pathology review represent relevant tools to improve the overall diagnostic workup of patients affected by endocrine tumors in every specific scenario. In fact, although a relevant proportion of cases may be correctly identified based on clinical presentation and biochemical/imaging investigations, a subset of cases presents with atypical findings that may lead to an inappropriate diagnosis and treatment plan based on a wrong pathological diagnosis if all pieces of the puzzle are not correctly considered. Pathologists have a responsibility to actively guide clinicians before and during surgical procedures to prevent unnecessary interventions. In all areas of endocrine pathology, pathologists must understand the complexity of tissue preservation and assay sensitivities and specificities to ensure the optimal quality and interpretation of diagnostic material. Finally, pathologists are central actors in tumor tissue biobanking, which is an expanding field in oncology that should be promoted while adhering to strict ethical and methodological standards.

In the early morning a 28-year-old man was found lying on the tracks of a railway station with head injuries and fractures of the cervical spine resulting in permanent quadriplegia. He was in a club about 1 km away until about 2 h earlier and did not have any recollection of what could have happened. Was he the victim of an assault, did he fall down or was he hit by a passing train? The solution to this \"mystery\" came from a forensic evaluation that included the forensic branches of pathology, chemistry, merceology and genetics as well as the scene evaluation. Through these different steps, the role of a railway collision in determining the injuries was ascertained and a possible dynamic was postulated. The presented case is an expression of the importance of the different forensic disciplines and the difficulties the forensic pathologist encounters when analysing such peculiar and rare cases.