This is a high-magnification brightfield histology image of a hematopoietic tissue section stained with Hematoxylin and Eosin (H&E). The sample appears to be bone marrow with cellularity markedly increased and effacement of normal marrow architecture by an expansive population of immature hematopoietic cells. The predominant cells are blasts or blast-like cells with high nuclear-to-cytoplasmic ratio, rounded to oval nuclei, finely to coarsely stippled chromatin, and prominent nucleoli in several cells. Cytoplasm is scant to variable; mitotic figures are occasionally seen. Background elements such as mature erythroid, myeloid, and megakaryocytic precursors are reduced or obscured. Occasional macrophages and debris can be identified; there is no clear architectural adipose framework visible. Auer rods are not definitively seen in this field. The morphological pattern is compatible with an acute hematologic neoplasm, most consistent with acute leukemia or high-grade lymphoblastic/lymphoid proliferation; definitive classification requires immunophenotyping (flow cytometry), cytogenetics, and molecular testing. Clinically, such findings correlate with bone marrow failure symptoms (pancytopenia) and systemic signs like fever; differential includes AML, ALL, mixed-phenotype leukemia, and high-grade lymphoma with marrow involvement. This image is valuable for educational reference, diagnostic differential, and serves as a teaching exemplar for hematopathology board review.

A medical illustration depicting the recruitment and differentiation of bone marrow-derived cells for the treatment of Alzheimer's disease. The diagram is divided into three sections: Bone Marrow, Blood, and Brain. It shows the progression of hematopoietic cells (round with large blue nuclei) from the bone marrow into the systemic circulation as bone marrow-derived cells, and finally into the brain parenchyma. In the brain, these cells differentiate into bone marrow-derived microglia (BMDM), visualized as green, ramified cells with multiple irregular cytoplasmic protrusions. The BMDM are shown interacting with a red, star-shaped amyloid-beta (Ạβ) plaque, with an arrow indicating 'clearance.' Two text boxes summarize pharmacological interventions: the first lists HCT, SDF-1, and G-CSF/AMD3100 for stimulating recruitment; the second lists M-CSF and Glatiramer acetate for promoting Ạβ clearance. This diagram illustrates the cellular pathway and potential therapeutic targets for enhancing immune-mediated amyloid degradation in the central nervous system.

An educational flow diagram illustrating the process of human hematopoiesis, demonstrating the differentiation of hematopoietic stem cells (HSCs) into mature blood cells. The diagram is divided into two primary compartments: Bone Marrow (left, light beige background) and Blood Circulation (right, light pink background). The process begins with multipotent HSCs, which transition through several stages including multipotent progenitor cells, lineage-committed progenitor cells (such as common myeloid, lymphoid, and megakaryocyte-erythroid progenitors), and precursor cells. The terminal stage shows fully differentiated cells entering the blood circulation, including granulocytes (multilobed nuclei), monocytes (kidney-bean nuclei), basophils (blue granules), eosinophils (red granules), red blood cells (enucleated), platelets (fragments from megakaryocytes), and T/B lymphocytes. While progenitor cells are depicted with uniform morphology (large central nuclei and light brown cytoplasm), the mature cells exhibit distinct staining characteristics and nuclear shapes critical for hematological identification. This diagram serves as a clinical algorithm for understanding myeloid and lymphoid lineage development.

Clinical photograph of a patient's lower extremities demonstrating severe peripheral pitting edema. The legs show significant symmetrical swelling from the pretibial region down to the ankles, resulting in a loss of normal anatomical contours. A clear indentation (pitting) is visible on the medial aspect of the left leg where manual pressure was applied, characteristic of pitting edema. The overlying skin appears taut, shiny, and exhibits diffuse hyperpigmentation with scattered brownish macules and focal areas of hypopigmentation. The photograph illustrates a common adverse effect associated with BRAF/MEK inhibitor therapy (e.g., dabrafenib and trametinib) in the treatment of malignancies such as lung adenocarcinoma. The image is framed against a clinical background including a medical stool and the patient wearing white socks and athletic shoes, providing context for an outpatient or inpatient clinical assessment of Grade 3 edema.

This clinical photograph displays bilateral pedal edema in the lower extremities. The image focuses on the distal legs and ankles, demonstrating significant swelling and tautness of the skin. A key diagnostic feature is visible on the anterior aspect of the lower leg, where a localized indentation or 'pit' remains after pressure was applied, characteristic of pitting edema. The skin shows slight discoloration with scattered hyperpigmented macules and a horizontal band of lighter pigmentation above the malleoli, possibly indicating chronic pressure from footwear or hosiery. The overall presentation is a classic clinical representation used in internal medicine and cardiology to illustrate fluid retention and systemic volume overload. The educational focus is on the assessment of peripheral edema and the visual identification of the 'pitting' sign in a clinical examination context.

Clinical photograph showing severe, bilateral pedal edema in a pregnant patient. The image displays the dorsum of both feet and the ankles, which exhibit significant swelling characterized as grade 3 pitting edema. There is a notable loss of normal anatomical landmarks, with the bony prominences of the medial and lateral malleoli completely obscured by fluid accumulation. The skin appears stretched, shiny, and demonstrates a slight yellowish discoloration. The swelling extends from the toes to the lower legs, with visible distension of the soft tissues. This finding is clinically relevant in the context of systemic diseases during pregnancy, such as preeclampsia or infectious etiologies like leptospirosis, as it indicates significant fluid retention and potential multi-organ involvement.

Summary : This figure presents a differential diagnosis flowchart for dyspnea, categorizing possible causes into cardiac, pulmonary, and other sources, and further subdividing each category into specific conditions. flowchart: # Nodes : • Dyspnea (rectangle, top-level) • Cardiac (rectangle, second-level, left branch) – Cardiomyopathy (rectangle) – Coronary artery disease (rectangle) – Valvular heart disease (rectangle) – Pericardial disease (rectangle) – Arrhythmias (rectangle) • Pulmonary (rectangle, second-level, middle branch) – Obstructive lung disease (rectangle) – Restrictive lung disease (rectangle) – Pleural disease (rectangle) – Pulmonary embolism (rectangle) • Other Source (rectangle, second-level, right branch) – Anemia (rectangle) – Neuromuscular disease (rectangle) – Deconditioning (rectangle) – Anxiety (rectangle) # Connectors : • Dyspnea splits into three branches: Cardiac, Pulmonary, Other Source. • Cardiac connects downward to five conditions: Cardiomyopathy, Coronary artery disease, Valvular heart disease, Pericardial disease, Arrhythmias. • Pulmonary connects downward to four conditions: Obstructive lung disease, Restrictive lung disease, Pleural disease, Pulmonary embolism. • Other Source connects downward to four conditions: Anemia, Neuromuscular disease, Deconditioning, Anxiety. # Layout : • Hierarchical, top-down arrangement. • Three main branches (Cardiac, Pulmonary, Other Source) horizontally aligned under Dyspnea. • Each branch fans out vertically to its respective subcategories. # Analysis : • The flowchart organizes the differential diagnosis of dyspnea into three major etiological categories, each with multiple specific conditions. • Cardiac causes are the most numerous, with five subtypes. • Pulmonary causes are divided into disease types and embolism. • Other sources include systemic, neuromuscular, physical conditioning, and psychological factors. • The structure aids clinicians in systematically considering a broad range of possible diagnoses for dyspnea.

Summary : This flowchart presents an algorithm for diagnosing Heart Failure with preserved Ejection Fraction (HFpEF), detailing the stepwise evaluation of patients with dyspnea, including exclusion of non-cardiac causes, echocardiographic assessment, and further testing for left atrial pressure (LAP) elevation. flowchart: # Nodes : • History and Physical Examination, Chest X-Ray, Labs, Natriuretic peptides (rectangle) • Exclude non-cardiac causes for dyspnea (rectangle, side branch) • Comprehensive Echocardiogram (rectangle) • Exclude Significant MS, primary MR, AS, AR, primary TR (rectangle, bullet points) • Exclude significant CAD, non-cardiac PH (rectangle, bullet point) • Exclude cardiac amyloidosis, HCM (rectangle, bullet point) • Exclude pericardial constriction (rectangle, bullet point) • Algorithm for LAP estimation (figure 3) (rectangle) • LAP elevated (rectangle, yellow highlight) • HFpEF confirmed (rectangle) • Dyspnea with LAP normal by rest echo (rectangle, yellow highlight) • Diastolic Exercise echo or RHC with/without exercise (rectangle) • Positive test (arrow label) • Negative test (arrow label) • Non cardiac dyspnea (rectangle) # Connectors : • Top-down arrows connect each step in the main diagnostic pathway. • Side branch from "History and Physical Examination" to "Exclude non-cardiac causes for dyspnea". • After "Algorithm for LAP estimation", two branches: one to "LAP elevated" and one to "Dyspnea with LAP normal by rest echo". • "LAP elevated" leads directly to "HFpEF confirmed". • "Dyspnea with LAP normal by rest echo" leads to "Diastolic Exercise echo or RHC with/without exercise". • "Diastolic Exercise echo or RHC with/without exercise" splits into "Positive test" (leading to "HFpEF confirmed") and "Negative test" (leading to "Non cardiac dyspnea"). # Layout : • Vertical flow from initial assessment to final diagnosis. • Side branch for exclusion of non-cardiac causes. • Decision points create two main diagnostic branches after LAP estimation. • Use of color (yellow) to highlight LAP-related nodes. # Analysis : • The algorithm prioritizes exclusion of non-cardiac causes and alternative cardiac diagnoses before confirming HFpEF. • LAP elevation is a key diagnostic criterion; if not elevated, further exercise or invasive testing is recommended. • The flowchart ensures systematic, stepwise evaluation, minimizing misdiagnosis by requiring multiple exclusion steps and confirmatory tests.