Complete echo findings of severe ms with diagrams

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severe mitral stenosis echocardiography findings 2D echo Doppler criteria diagrams

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https://pmc.ncbi.nlm.nih.gov/articles/PMC3727554

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Echo Findings of Severe Mitral Stenosis - Complete Guide

Severity Classification (ASE/EAE Criteria)

Parameter	Mild	Moderate	Severe
Valve area (cm²)	>1.5	1.0-1.5	<1.0
Mean gradient (mmHg)	<5	5-10	>10
PA systolic pressure (mmHg)	<30	30-50	>50
Pressure half-time (ms)	<150	150-220	>220

(At heart rates 60-80 bpm in sinus rhythm - PMC3727554)

1. TWO-DIMENSIONAL (2D) ECHO FINDINGS

A. Mitral Valve Morphology

The hallmark lesion is rheumatic in etiology. The classic 2D findings are:

Commissural fusion - the anterior and posterior leaflets fuse along the medial and lateral commissures, producing the characteristic pathology.

Diastolic doming / "Hockey-stick" deformity - the base and mid-portions of the leaflets move toward the ventricular apex while leaflet tips are restricted by commissural fusion. This produces the distinctive "doming" of the anterior mitral leaflet (AML) in diastole:

2D echo findings in mitral stenosis: PLAX showing commissural fusion, diastolic doming, chordal thickening, and LA enlargement; PSAX showing the restricted mitral valve orifice

Fig. 11.17 - 2D echo findings in mitral stenosis (Textbook of Clinical Echocardiography). PLAX view: commissural fusion + diastolic doming + chordal thickening + LA enlargement. PSAX view: reduced mitral valve orifice planimetry.

Posterior leaflet (PML) restriction - in rheumatic MS, the PML is pulled anteriorly (toward the aorta) rather than moving posteriorly in diastole - a pathognomonic reversal of normal motion.

Leaflet thickening - predominantly at the tips. In severe MS, variable calcification occurs throughout the leaflet body.

Subvalvular apparatus changes - chordal thickening, fusion, shortening, fibrosis, and calcification. Most prominent in severe disease.

Real 2D echo in rheumatic MS: PLAX (left) showing "doming" of anterior mitral leaflet; PSAX (right) showing commissural fusion and small mitral orifice

Fig. 11.18 - Real TTE images: PLAX shows doming of AML (arrow); PSAX shows commissural fusion with severely reduced orifice. (Textbook of Clinical Echocardiography)

B. Chamber Consequences in Severe MS

Chamber	Finding
Left Atrium (LA)	Markedly enlarged; "giant LA" in long-standing severe MS
LA appendage (LAA)	Dilated; often harbours thrombus (especially in AF)
Spontaneous echo contrast	"Smoke" in LA/LAA due to sluggish flow - indicates high thromboembolic risk
Left Ventricle (LV)	Small to normal-sized, normal wall thickness, normal systolic function (EF preserved)
Right Ventricle (RV)	Dilated and hypertrophied (from pulmonary hypertension)
Right Atrium (RA)	Enlarged (from TR and RV dysfunction)
Interventricular septum	Paradoxical motion in severe RV pressure overload
Pulmonary artery	Dilated

From the Textbook of Clinical Echocardiography: "In patients with mitral stenosis, the LV is small, with normal wall thickness and normal systolic function." LV dilation should prompt a search for coexisting MR, AR, or cardiomyopathy.

2. M-MODE ECHO FINDINGS

Feature	Finding
EF slope	Reduced (normal = 70-150 mm/s; severe MS <20 mm/s)
Anterior leaflet waveform	Box-like, flat EF slope; loss of normal "M" shape
Posterior leaflet motion	Moves anteriorly in diastole (same direction as AML) - reversal of normal posterior motion
AC shoulder	Absent or diminished
Leaflet thickening	Multiple dense echoes on M-mode
LA size	Increased on M-mode measurement

The reduced EF slope reflects the slow deceleration of flow across the stenotic valve (flow continues from LA to LV throughout diastole as the gradient persists).

3. DOPPLER FINDINGS

A. Continuous Wave (CW) Doppler - Transmitral Flow

Obtained from the apical 4-chamber view with the CW cursor aligned parallel to mitral inflow.

CW Doppler of severe MS with coexisting MR: above-the-line MS signal and below-the-line MR signal. Note the slow deceleration slope (prolonged PHT)

Fig. 11.20 - CW Doppler showing MS (above baseline, arrow) with prolonged deceleration slope and coexistent MR (below baseline). Mean gradient and PHT are calculated from this trace. (Textbook of Clinical Echocardiography)

Key Doppler findings in severe MS:

Doppler Parameter	Severe MS Value
Peak E velocity (Vmax)	>1.5 m/s (often 2-3 m/s)
Mean diastolic gradient	>10 mmHg
Deceleration slope	Very slow/gradual
Pressure Half-Time (PHT)	>220 ms
MVA by PHT	<1.0 cm² (using MVA = 220/T½)

B. Pressure Half-Time (PHT) Method

The PHT is the most widely used non-geometric method to estimate MVA:

MVA = 220 / T½

T½ is the time (ms) from peak E-velocity to the point where velocity falls to Vmax/√2 (= Vmax × 0.7)
A PHT of 220 ms = MVA of 1.0 cm² (moderate-severe boundary)
A PHT of >220 ms → MVA <1.0 cm² → severe MS
Caution: PHT is unreliable immediately after balloon mitral valvuloplasty and in patients with significantly abnormal LV or LA compliance

C. Mean Pressure Gradient

Calculated by tracing the modal (densest) velocity of the diastolic transmitral inflow on CW Doppler using the modified Bernoulli equation applied to each instantaneous velocity:

Mean ΔP = Σ(4v²) / n

Average 3-5 beats (5 beats in atrial fibrillation). In severe MS: mean gradient >10 mmHg (though gradients may be falsely low with low cardiac output despite severe stenosis).

D. Color Flow Doppler

Narrow, turbulent jet of diastolic inflow through the stenotic valve
PISA (Proximal Isovelocity Surface Area) - a zone of concentric acceleration on the atrial side of the valve in diastole (characteristic of MS)
Intraventricular diastolic vortex - swirling turbulent flow within the LV cavity after crossing the stenotic valve
In AF or low flow states: assess for associated MR jets

4. MITRAL VALVE AREA MEASUREMENTS

Three methods are used; 2D/3D planimetry is most reliable in rheumatic MS:

Method	Technique	Notes
2D Planimetry	PSAX view at leaflet tips; trace inner edge of orifice	Gold standard; start from apex, scan slowly to identify smallest orifice
3D Planimetry	3D dataset re-planed at minimal orifice	Most accurate; avoids oblique cutting error; recommended by ACC/AHA
PHT method	MVA = 220/T½	Unreliable post-PBMV, abnormal compliance
Continuity equation	MVA = transmitral SV / VTI_MS	Useful when PHT unreliable; complex flow conditions
PISA method	MVA = (2πr² × Va × 0.5) / Vmax	Complex; less commonly used

5. PULMONARY HYPERTENSION ASSESSMENT

Pulmonary hypertension is the critical downstream consequence of severe MS and is assessed by:

PASP = 4 × (TR Vmax)² + estimated RAP

In severe MS: PASP >50 mmHg (often much higher in long-standing disease - "reactive" pulmonary hypertension)

RV function (TAPSE, S' wave by TDI, FAC) must be assessed
RV hypertrophy and dilation indicate chronic pressure overload
Severe pulmonary hypertension with RV failure is a poor prognostic sign

6. WILKINS ECHOCARDIOGRAPHIC SCORE (for PBMV selection)

The Wilkins score grades 4 morphological features, each scored 0-4:

Feature	Score 1	Score 2	Score 3	Score 4
Leaflet mobility	Highly mobile, restriction at tips only	Mid-body and base reduced mobility	Valve moves forward in diastole mainly from base	No or minimal forward movement
Valve thickening	Nearly normal (4-5 mm)	Mid-leaflet normal, tips thick (5-8 mm)	Thickening extends through entire leaflet (5-8 mm)	Marked thickening of all leaflet tissue (>8-10 mm)
Subvalvular thickening	Minimal chordal thickening just below valve	Thickening up to 1/3 of chordal length	Thickening extending to distal 1/3 of chords	Extensive thickening and shortening of all chords to papillary muscles
Calcification	A single bright echo area	Scattered areas of brightness confined to leaflet margins	Brightness extending into mid-portion of leaflets	Extensive brightness throughout much of leaflet tissue

Total score ≤8: Favorable for PBMV (good results expected) Total score 9-11: Intermediate; 3D echo may help reclassify Total score >11 (or significant MR present): Surgical valve replacement preferred

7. TRANSESOPHAGEAL ECHO (TEE) - Additional Indications in Severe MS

LA/LAA thrombus detection: TTE sensitivity <50%; TEE sensitivity and specificity ~99%. Mandatory before PBMV
Spontaneous echo contrast (smoke): marker of stasis, high embolic risk
Better visualization of commissural fusion, subvalvular anatomy, calcification extent
MR quantification: important before intervention
Post-PBMV assessment: commissural splitting, new MR
Intraoperative guidance for surgical commissurotomy/MVR

8. COMPLETE ECHO EXAM CHECKLIST IN SEVERE MS

Domain	What to Assess
Valve morphology	Commissural fusion, leaflet thickening, calcification, subvalvular apparatus
Valve area	2D/3D planimetry (primary); PHT method; continuity equation
Gradient	Mean diastolic gradient (CW Doppler, apical view)
Wilkins score	For PBMV candidacy
LA / LAA	Size, spontaneous contrast, thrombus
LV	Size, systolic function (usually preserved)
Coexisting MR	Color Doppler, quantify if present
Tricuspid valve	TR Vmax → PASP estimate; TR severity
RV function	TAPSE, FAC, TDI S' wave
Pulmonary artery	Size, PASP
Other valves	AR, AS, TS - common in rheumatic disease

Key Numeric Summary - Severe MS at a Glance

Parameter	Threshold for Severe
MVA (any method)	<1.0 cm²
Mean gradient	>10 mmHg
Pressure half-time	>220 ms
PA systolic pressure	>50 mmHg
Peak E velocity	>1.5-2.0 m/s
Wilkins score (high)	>11 (unfavorable anatomy)

Sources: Textbook of Clinical Echocardiography, 6th Ed. (Otto & Bonow); Braunwald's Heart Disease, 11th Ed.; Fuster & Hurst's The Heart, 15th Ed.; ASE/EAE Echocardiographic Assessment of Valve Stenosis; Echocardiography in Mitral Stenosis - PMC3727554

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Create a PDF summary of severe MS echo findings for reference

Reading File

Running Command

ls -la /tmp/workspace/ 2>/dev/null || mkdir -p /tmp/workspace && echo "created"

Writing File

~/severe_ms_echo_pdf.py

from reportlab.lib.pagesizes import A4
from reportlab.lib import colors
from reportlab.lib.units import mm, cm
from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
from reportlab.platypus import (SimpleDocTemplate, Paragraph, Spacer, Table,
                                 TableStyle, HRFlowable, KeepTogether)
from reportlab.lib.enums import TA_CENTER, TA_LEFT, TA_JUSTIFY
from reportlab.platypus import PageBreak
import os

os.makedirs("/tmp/workspace/output", exist_ok=True)
OUTPUT = "/tmp/workspace/output/Severe_MS_Echo_Reference.pdf"

# ── Colours ──────────────────────────────────────────────────────────────────
NAVY      = colors.HexColor("#1B3A5C")
TEAL      = colors.HexColor("#1A7A8A")
AMBER     = colors.HexColor("#E07B20")
LIGHTBLUE = colors.HexColor("#D6EAF8")
LIGHTTEAL = colors.HexColor("#D1F2EB")
LIGHTAMB  = colors.HexColor("#FDEBD0")
WHITE     = colors.white
RED       = colors.HexColor("#C0392B")
GREY_BG   = colors.HexColor("#F2F2F2")
DARK_GREY = colors.HexColor("#4A4A4A")
MID_GREY  = colors.HexColor("#888888")

# ── Document ──────────────────────────────────────────────────────────────────
doc = SimpleDocTemplate(
    OUTPUT,
    pagesize=A4,
    leftMargin=18*mm, rightMargin=18*mm,
    topMargin=15*mm,  bottomMargin=15*mm,
    title="Severe Mitral Stenosis – Complete Echocardiography Reference",
    author="Orris Medical Reference",
)

W = A4[0] - 36*mm   # usable width

# ── Styles ────────────────────────────────────────────────────────────────────
styles = getSampleStyleSheet()

def S(name, **kw):
    return ParagraphStyle(name, **kw)

TITLE_STYLE = S("DocTitle",
    fontName="Helvetica-Bold", fontSize=18, textColor=WHITE,
    alignment=TA_CENTER, spaceAfter=4)

SUBTITLE_STYLE = S("DocSubtitle",
    fontName="Helvetica", fontSize=10, textColor=colors.HexColor("#B0C4DE"),
    alignment=TA_CENTER, spaceAfter=2)

SEC_STYLE = S("SecHead",
    fontName="Helvetica-Bold", fontSize=11, textColor=WHITE,
    spaceBefore=6, spaceAfter=3)

SUBSEC_STYLE = S("SubSecHead",
    fontName="Helvetica-Bold", fontSize=9.5, textColor=NAVY,
    spaceBefore=5, spaceAfter=2)

BODY = S("Body",
    fontName="Helvetica", fontSize=8.5, textColor=DARK_GREY,
    leading=13, spaceAfter=2)

BODY_BOLD = S("BodyBold",
    fontName="Helvetica-Bold", fontSize=8.5, textColor=DARK_GREY,
    leading=13, spaceAfter=2)

NOTE = S("Note",
    fontName="Helvetica-Oblique", fontSize=7.5, textColor=MID_GREY,
    leading=11, spaceAfter=2)

CELL = S("Cell",
    fontName="Helvetica", fontSize=8, textColor=DARK_GREY, leading=11)

CELL_BOLD = S("CellBold",
    fontName="Helvetica-Bold", fontSize=8, textColor=DARK_GREY, leading=11)

CELL_RED = S("CellRed",
    fontName="Helvetica-Bold", fontSize=8, textColor=RED, leading=11)

CELL_WHITE = S("CellWhite",
    fontName="Helvetica-Bold", fontSize=8.5, textColor=WHITE, leading=12)

CELL_TEAL = S("CellTeal",
    fontName="Helvetica-Bold", fontSize=8, textColor=TEAL, leading=11)

# ── Helper: section header bar ────────────────────────────────────────────────
def section_header(text, color=NAVY):
    data = [[Paragraph(text, SEC_STYLE)]]
    t = Table(data, colWidths=[W])
    t.setStyle(TableStyle([
        ("BACKGROUND", (0,0), (-1,-1), color),
        ("TOPPADDING",    (0,0), (-1,-1), 5),
        ("BOTTOMPADDING", (0,0), (-1,-1), 5),
        ("LEFTPADDING",   (0,0), (-1,-1), 8),
        ("RIGHTPADDING",  (0,0), (-1,-1), 8),
        ("ROUNDEDCORNERS", [3]),
    ]))
    return t

def subsec(text):
    return Paragraph(text, SUBSEC_STYLE)

def body(text):
    return Paragraph(text, BODY)

def note(text):
    return Paragraph(f"<i>{text}</i>", NOTE)

def sp(h=4):
    return Spacer(1, h*mm)

def hr(color=TEAL, thickness=0.5):
    return HRFlowable(width="100%", thickness=thickness, color=color, spaceAfter=2*mm)

# ── Build story ───────────────────────────────────────────────────────────────
story = []

# ═══════════════════════════ TITLE BLOCK ═════════════════════════════════════
title_data = [[
    Paragraph("SEVERE MITRAL STENOSIS", TITLE_STYLE),
    ],[
    Paragraph("Complete Echocardiography Reference Card", SUBTITLE_STYLE),
    ],[
    Paragraph("2D Echo · M-Mode · Doppler · Severity Criteria · Wilkins Score · Chamber Consequences",
              SUBTITLE_STYLE),
]]
title_tbl = Table(title_data, colWidths=[W])
title_tbl.setStyle(TableStyle([
    ("BACKGROUND", (0,0), (-1,-1), NAVY),
    ("TOPPADDING",    (0,0), (-1,-1), 6),
    ("BOTTOMPADDING", (0,0), (-1,-1), 6),
    ("LEFTPADDING",   (0,0), (-1,-1), 10),
    ("RIGHTPADDING",  (0,0), (-1,-1), 10),
]))
story += [title_tbl, sp(4)]

# ═══════════════════════════ 1. SEVERITY CRITERIA ════════════════════════════
story += [section_header("1.  SEVERITY CLASSIFICATION  (ASE / EAE Criteria)"), sp(2)]

sev_data = [
    [Paragraph("<b>Parameter</b>", CELL_WHITE),
     Paragraph("<b>Mild</b>", CELL_WHITE),
     Paragraph("<b>Moderate</b>", CELL_WHITE),
     Paragraph("<b>SEVERE</b>", CELL_WHITE)],
    [Paragraph("Valve Area (cm²)", CELL_BOLD),
     Paragraph(">1.5", CELL),
     Paragraph("1.0 – 1.5", CELL),
     Paragraph("<b><font color='#C0392B'>&lt;1.0</font></b>", CELL)],
    [Paragraph("Mean Gradient (mmHg)", CELL_BOLD),
     Paragraph("<5", CELL),
     Paragraph("5 – 10", CELL),
     Paragraph("<b><font color='#C0392B'>&gt;10</font></b>", CELL)],
    [Paragraph("PA Systolic Pressure (mmHg)", CELL_BOLD),
     Paragraph("<30", CELL),
     Paragraph("30 – 50", CELL),
     Paragraph("<b><font color='#C0392B'>&gt;50</font></b>", CELL)],
    [Paragraph("Pressure Half-Time (ms)", CELL_BOLD),
     Paragraph("<150", CELL),
     Paragraph("150 – 220", CELL),
     Paragraph("<b><font color='#C0392B'>&gt;220</font></b>", CELL)],
    [Paragraph("Peak E-Velocity (m/s)", CELL_BOLD),
     Paragraph("<1.0", CELL),
     Paragraph("1.0 – 1.5", CELL),
     Paragraph("<b><font color='#C0392B'>&gt;1.5 – 2.0</font></b>", CELL)],
]
cw = [W*0.37, W*0.18, W*0.22, W*0.23]
sev_tbl = Table(sev_data, colWidths=cw)
sev_tbl.setStyle(TableStyle([
    ("BACKGROUND",    (0,0), (-1,0),  TEAL),
    ("BACKGROUND",    (0,1), (-1,1),  LIGHTBLUE),
    ("BACKGROUND",    (0,2), (-1,2),  WHITE),
    ("BACKGROUND",    (0,3), (-1,3),  LIGHTBLUE),
    ("BACKGROUND",    (0,4), (-1,4),  WHITE),
    ("BACKGROUND",    (0,5), (-1,5),  LIGHTBLUE),
    ("BACKGROUND",    (3,1), (3,5),   LIGHTAMB),
    ("GRID",          (0,0), (-1,-1), 0.4, colors.HexColor("#CCCCCC")),
    ("TOPPADDING",    (0,0), (-1,-1), 4),
    ("BOTTOMPADDING", (0,0), (-1,-1), 4),
    ("LEFTPADDING",   (0,0), (-1,-1), 6),
    ("RIGHTPADDING",  (0,0), (-1,-1), 6),
    ("VALIGN",        (0,0), (-1,-1), "MIDDLE"),
]))
story += [sev_tbl]
story += [sp(2), note("Gradients measured at HR 60-80 bpm in sinus rhythm. Valve area is the PRIMARY criterion for severity."), sp(3)]

# ═══════════════════════════ 2. 2D ECHO ══════════════════════════════════════
story += [section_header("2.  2D ECHOCARDIOGRAPHIC FINDINGS"), sp(2)]

# -- 2a Valve morphology
story += [subsec("A.  Mitral Valve Morphology (Rheumatic MS)")]

morph_data = [
    [Paragraph("<b>Feature</b>", CELL_WHITE),
     Paragraph("<b>Description</b>", CELL_WHITE)],
    [Paragraph("Commissural fusion", CELL_BOLD),
     Paragraph("Fusion of medial and lateral commissures – the pathognomonic lesion of rheumatic MS", CELL)],
    [Paragraph("Diastolic doming", CELL_BOLD),
     Paragraph("Base and mid-body move toward LV apex; tips restricted → hockey-stick shape of AML in PLAX", CELL)],
    [Paragraph("Posterior leaflet motion", CELL_BOLD),
     Paragraph("PML moves ANTERIORLY in diastole (same direction as AML) – reversal of normal motion", CELL)],
    [Paragraph("Leaflet thickening", CELL_BOLD),
     Paragraph("Predominantly at tips; variable calcification of body in severe/chronic disease", CELL)],
    [Paragraph("Subvalvular apparatus", CELL_BOLD),
     Paragraph("Chordal thickening, fusion, shortening, fibrosis and calcification – prominent in severe MS", CELL)],
    [Paragraph("Mitral orifice (PSAX)", CELL_BOLD),
     Paragraph("Fish-mouth / slit-like appearance; area directly planimetered in PSAX view at leaflet tips", CELL)],
]
cw2 = [W*0.32, W*0.68]
morph_tbl = Table(morph_data, colWidths=cw2)
morph_tbl.setStyle(TableStyle([
    ("BACKGROUND",    (0,0), (-1,0),  TEAL),
    ("ROWBACKGROUNDS",(0,1), (-1,-1), [LIGHTBLUE, WHITE]),
    ("GRID",          (0,0), (-1,-1), 0.4, colors.HexColor("#CCCCCC")),
    ("TOPPADDING",    (0,0), (-1,-1), 4),
    ("BOTTOMPADDING", (0,0), (-1,-1), 4),
    ("LEFTPADDING",   (0,0), (-1,-1), 6),
    ("RIGHTPADDING",  (0,0), (-1,-1), 6),
    ("VALIGN",        (0,0), (-1,-1), "TOP"),
]))
story += [morph_tbl, sp(3)]

# ═══════════════════════════ 3. M-MODE ═══════════════════════════════════════
story += [section_header("3.  M-MODE ECHO FINDINGS"), sp(2)]

mmode_data = [
    [Paragraph("<b>Feature</b>", CELL_WHITE),
     Paragraph("<b>Finding in Severe MS</b>", CELL_WHITE),
     Paragraph("<b>Normal</b>", CELL_WHITE)],
    [Paragraph("EF slope (AML)", CELL_BOLD),
     Paragraph("<b><font color='#C0392B'>Reduced: &lt;20 mm/s</font></b>", CELL),
     Paragraph("70–150 mm/s", CELL)],
    [Paragraph("AML waveform", CELL_BOLD),
     Paragraph("Box-like, flat slope; loss of normal \"M\" pattern", CELL),
     Paragraph("Normal M-shape", CELL)],
    [Paragraph("PML motion", CELL_BOLD),
     Paragraph("Moves ANTERIORLY (same direction as AML) in diastole", CELL),
     Paragraph("Moves posteriorly", CELL)],
    [Paragraph("AC shoulder", CELL_BOLD),
     Paragraph("Absent or diminished", CELL),
     Paragraph("Present", CELL)],
    [Paragraph("Leaflet appearance", CELL_BOLD),
     Paragraph("Multiple dense echoes; thickened, brighter than normal", CELL),
     Paragraph("Single thin line", CELL)],
    [Paragraph("LA dimension", CELL_BOLD),
     Paragraph("Increased (often >45 mm)", CELL),
     Paragraph("<40 mm", CELL)],
]
cw3 = [W*0.30, W*0.42, W*0.28]
mmode_tbl = Table(mmode_data, colWidths=cw3)
mmode_tbl.setStyle(TableStyle([
    ("BACKGROUND",    (0,0), (-1,0),  TEAL),
    ("ROWBACKGROUNDS",(0,1), (-1,-1), [LIGHTBLUE, WHITE]),
    ("GRID",          (0,0), (-1,-1), 0.4, colors.HexColor("#CCCCCC")),
    ("TOPPADDING",    (0,0), (-1,-1), 4),
    ("BOTTOMPADDING", (0,0), (-1,-1), 4),
    ("LEFTPADDING",   (0,0), (-1,-1), 6),
    ("RIGHTPADDING",  (0,0), (-1,-1), 6),
    ("VALIGN",        (0,0), (-1,-1), "MIDDLE"),
]))
story += [mmode_tbl, sp(3)]

# ═══════════════════════════ 4. DOPPLER ══════════════════════════════════════
story += [section_header("4.  DOPPLER FINDINGS"), sp(2)]

# 4a: CW Doppler table
story += [subsec("A.  Continuous Wave Doppler (Apical 4-Chamber View)")]
cw_data = [
    [Paragraph("<b>Parameter</b>", CELL_WHITE),
     Paragraph("<b>Severe MS Value</b>", CELL_WHITE),
     Paragraph("<b>Notes</b>", CELL_WHITE)],
    [Paragraph("Peak E-velocity (Vmax)", CELL_BOLD),
     Paragraph("<b><font color='#C0392B'>&gt;1.5 – 2.0 m/s</font></b>", CELL),
     Paragraph("CW cursor parallel to flow; use modal velocity", CELL)],
    [Paragraph("Mean diastolic gradient", CELL_BOLD),
     Paragraph("<b><font color='#C0392B'>&gt;10 mmHg</font></b>", CELL),
     Paragraph("Average 3-5 beats (5 in AF); flow-dependent", CELL)],
    [Paragraph("Deceleration slope", CELL_BOLD),
     Paragraph("Very slow / prolonged", CELL),
     Paragraph("Reflects impaired pressure equalisation", CELL)],
    [Paragraph("Pressure Half-Time (T½)", CELL_BOLD),
     Paragraph("<b><font color='#C0392B'>&gt;220 ms</font></b>", CELL),
     Paragraph("Time Vmax → Vmax/√2; severe if >220 ms", CELL)],
    [Paragraph("MVA by PHT", CELL_BOLD),
     Paragraph("<b><font color='#C0392B'>&lt;1.0 cm²</font></b>", CELL),
     Paragraph("MVA = 220 / T½  (empirical formula)", CELL)],
    [Paragraph("Diastolic flow duration", CELL_BOLD),
     Paragraph("Prolonged throughout diastole", CELL),
     Paragraph("Gradient persists into late diastole", CELL)],
]
cw_t = Table(cw_data, colWidths=[W*0.30, W*0.28, W*0.42])
cw_t.setStyle(TableStyle([
    ("BACKGROUND",    (0,0), (-1,0),  TEAL),
    ("ROWBACKGROUNDS",(0,1), (-1,-1), [LIGHTBLUE, WHITE]),
    ("GRID",          (0,0), (-1,-1), 0.4, colors.HexColor("#CCCCCC")),
    ("TOPPADDING",    (0,0), (-1,-1), 4),
    ("BOTTOMPADDING", (0,0), (-1,-1), 4),
    ("LEFTPADDING",   (0,0), (-1,-1), 6),
    ("RIGHTPADDING",  (0,0), (-1,-1), 6),
    ("VALIGN",        (0,0), (-1,-1), "MIDDLE"),
]))
story += [cw_t, sp(2)]

# PHT formula box
pht_data = [[
    Paragraph(
        "<b>PHT Formula:   MVA  =  220 / T½</b><br/>"
        "<font size='7.5'>where T½ = time (ms) from peak E-velocity to the point where velocity falls to Vmax/√2 (= Vmax × 0.707)<br/>"
        "Caution: NOT valid immediately after PBMV; unreliable with significant AR or abnormal LV/LA compliance</font>",
        S("pht", fontName="Helvetica", fontSize=8.5, textColor=NAVY, leading=13))
]]
pht_tbl = Table(pht_data, colWidths=[W])
pht_tbl.setStyle(TableStyle([
    ("BACKGROUND",    (0,0), (-1,-1), LIGHTBLUE),
    ("BOX",           (0,0), (-1,-1), 1.2, TEAL),
    ("TOPPADDING",    (0,0), (-1,-1), 7),
    ("BOTTOMPADDING", (0,0), (-1,-1), 7),
    ("LEFTPADDING",   (0,0), (-1,-1), 10),
    ("RIGHTPADDING",  (0,0), (-1,-1), 10),
]))
story += [pht_tbl, sp(3)]

# 4b: Color Doppler
story += [subsec("B.  Color Flow Doppler")]
color_data = [
    [Paragraph("<b>Finding</b>", CELL_WHITE),
     Paragraph("<b>Description</b>", CELL_WHITE)],
    [Paragraph("Diastolic inflow jet", CELL_BOLD),
     Paragraph("Narrow, turbulent, aliased jet through the stenotic mitral orifice", CELL)],
    [Paragraph("PISA (atrial side)", CELL_BOLD),
     Paragraph("Concentric zone of flow acceleration (proximal isovelocity surface area) on LA side in diastole", CELL)],
    [Paragraph("Intraventricular vortex", CELL_BOLD),
     Paragraph("Swirling turbulent flow within LV cavity after crossing stenotic valve", CELL)],
    [Paragraph("Coexistent MR", CELL_BOLD),
     Paragraph("Systolic regurgitant jet into LA – common in rheumatic disease; quantify if present", CELL)],
]
color_tbl = Table(color_data, colWidths=cw2)
color_tbl.setStyle(TableStyle([
    ("BACKGROUND",    (0,0), (-1,0),  TEAL),
    ("ROWBACKGROUNDS",(0,1), (-1,-1), [LIGHTBLUE, WHITE]),
    ("GRID",          (0,0), (-1,-1), 0.4, colors.HexColor("#CCCCCC")),
    ("TOPPADDING",    (0,0), (-1,-1), 4),
    ("BOTTOMPADDING", (0,0), (-1,-1), 4),
    ("LEFTPADDING",   (0,0), (-1,-1), 6),
    ("RIGHTPADDING",  (0,0), (-1,-1), 6),
    ("VALIGN",        (0,0), (-1,-1), "TOP"),
]))
story += [color_tbl, sp(3)]

# ═══════════════════════════ 5. MVA METHODS ══════════════════════════════════
story += [section_header("5.  MITRAL VALVE AREA  –  MEASUREMENT METHODS"), sp(2)]

mva_data = [
    [Paragraph("<b>Method</b>", CELL_WHITE),
     Paragraph("<b>Technique</b>", CELL_WHITE),
     Paragraph("<b>Key Points / Pitfalls</b>", CELL_WHITE)],
    [Paragraph("2D Planimetry\n(PSAX)", CELL_BOLD),
     Paragraph("Trace inner edge of orifice in PSAX at leaflet tips; low gain", CELL),
     Paragraph("Scan from apex toward base to identify smallest orifice; calcification may cause overestimation", CELL)],
    [Paragraph("3D Planimetry\n(Recommended)", CELL_BOLD),
     Paragraph("Align 3D dataset at plane of minimal orifice; trace orifice", CELL),
     Paragraph("Most accurate; avoids oblique-cut error; best for asymmetric commissural fusion", CELL)],
    [Paragraph("Pressure Half-Time\n(PHT)", CELL_BOLD),
     Paragraph("MVA = 220 / T½  from CW Doppler apical view", CELL),
     Paragraph("Unreliable post-PBMV, significant AR, or abnormal compliance", CELL)],
    [Paragraph("Continuity Equation", CELL_BOLD),
     Paragraph("MVA = (transmitral SV) / VTI_MS", CELL),
     Paragraph("Useful when PHT unreliable; requires absence of significant MR/AR", CELL)],
    [Paragraph("PISA Method", CELL_BOLD),
     Paragraph("MVA = (2πr² × Va × 0.5) / Vmax", CELL),
     Paragraph("Complex; semi-quantitative; less commonly used clinically", CELL)],
]
mva_tbl = Table(mva_data, colWidths=[W*0.22, W*0.38, W*0.40])
mva_tbl.setStyle(TableStyle([
    ("BACKGROUND",    (0,0), (-1,0),  TEAL),
    ("ROWBACKGROUNDS",(0,1), (-1,-1), [LIGHTBLUE, WHITE]),
    ("GRID",          (0,0), (-1,-1), 0.4, colors.HexColor("#CCCCCC")),
    ("TOPPADDING",    (0,0), (-1,-1), 4),
    ("BOTTOMPADDING", (0,0), (-1,-1), 4),
    ("LEFTPADDING",   (0,0), (-1,-1), 6),
    ("RIGHTPADDING",  (0,0), (-1,-1), 6),
    ("VALIGN",        (0,0), (-1,-1), "TOP"),
]))
story += [mva_tbl, sp(3)]

# ═══════════════════════════ 6. CHAMBER CONSEQUENCES ═════════════════════════
story += [section_header("6.  CHAMBER CONSEQUENCES IN SEVERE MS"), sp(2)]

chamber_data = [
    [Paragraph("<b>Chamber / Structure</b>", CELL_WHITE),
     Paragraph("<b>Echo Finding</b>", CELL_WHITE),
     Paragraph("<b>Clinical Significance</b>", CELL_WHITE)],
    [Paragraph("Left Atrium (LA)", CELL_BOLD),
     Paragraph("Markedly enlarged; 'giant LA' in long-standing severe MS", CELL),
     Paragraph("Stasis, thrombus risk, AF", CELL)],
    [Paragraph("LA Appendage (LAA)", CELL_BOLD),
     Paragraph("Dilated; spontaneous echo contrast ('smoke'); thrombus in AF", CELL),
     Paragraph("High thromboembolic risk; TEE mandatory before PBMV", CELL)],
    [Paragraph("Left Ventricle (LV)", CELL_BOLD),
     Paragraph("Small-normal size; NORMAL systolic function (EF preserved)", CELL),
     Paragraph("LV dilation suggests coexisting MR/AR/cardiomyopathy", CELL)],
    [Paragraph("Right Ventricle (RV)", CELL_BOLD),
     Paragraph("Dilated + hypertrophied (chronic pressure overload)", CELL),
     Paragraph("RV failure = poor prognosis", CELL)],
    [Paragraph("Right Atrium (RA)", CELL_BOLD),
     Paragraph("Enlarged (secondary to TR and elevated RV pressures)", CELL),
     Paragraph("TR severity correlates with PA pressure", CELL)],
    [Paragraph("Pulmonary Artery (PA)", CELL_BOLD),
     Paragraph("Dilated; PASP >50 mmHg by TR jet velocity", CELL),
     Paragraph("Reactive PH may persist post-intervention", CELL)],
    [Paragraph("IVS", CELL_BOLD),
     Paragraph("Paradoxical septal motion in severe RV pressure overload", CELL),
     Paragraph("Indicates RV volume/pressure overload", CELL)],
]
ch_tbl = Table(chamber_data, colWidths=[W*0.27, W*0.40, W*0.33])
ch_tbl.setStyle(TableStyle([
    ("BACKGROUND",    (0,0), (-1,0),  TEAL),
    ("ROWBACKGROUNDS",(0,1), (-1,-1), [LIGHTBLUE, WHITE]),
    ("GRID",          (0,0), (-1,-1), 0.4, colors.HexColor("#CCCCCC")),
    ("TOPPADDING",    (0,0), (-1,-1), 4),
    ("BOTTOMPADDING", (0,0), (-1,-1), 4),
    ("LEFTPADDING",   (0,0), (-1,-1), 6),
    ("RIGHTPADDING",  (0,0), (-1,-1), 6),
    ("VALIGN",        (0,0), (-1,-1), "TOP"),
]))
story += [ch_tbl, sp(3)]

# ═══════════════════════════ 7. WILKINS SCORE ════════════════════════════════
story += [section_header("7.  WILKINS ECHOCARDIOGRAPHIC SCORE  (PBMV Selection)", color=AMBER), sp(2)]

wilk_header = [
    Paragraph("<b>Feature</b>", CELL_WHITE),
    Paragraph("<b>Score 1</b>", CELL_WHITE),
    Paragraph("<b>Score 2</b>", CELL_WHITE),
    Paragraph("<b>Score 3</b>", CELL_WHITE),
    Paragraph("<b>Score 4</b>", CELL_WHITE),
]
wilk_data = [
    wilk_header,
    [Paragraph("<b>Mobility</b>", CELL_BOLD),
     Paragraph("Highly mobile; restriction at tips only", CELL),
     Paragraph("Mid-body and base reduced", CELL),
     Paragraph("Forward movement mainly from base", CELL),
     Paragraph("No/minimal forward movement", CELL)],
    [Paragraph("<b>Thickening</b>", CELL_BOLD),
     Paragraph("Nearly normal (4-5 mm)", CELL),
     Paragraph("Tips thick (5-8 mm); mid-body normal", CELL),
     Paragraph("Thickening through entire leaflet (5-8 mm)", CELL),
     Paragraph("Marked thickening all tissue (>8 mm)", CELL)],
    [Paragraph("<b>Subvalvular</b>", CELL_BOLD),
     Paragraph("Minimal thickening just below valve", CELL),
     Paragraph("Thickening up to 1/3 chordal length", CELL),
     Paragraph("Thickening to distal 1/3 of chords", CELL),
     Paragraph("Extensive thickening to papillary muscles", CELL)],
    [Paragraph("<b>Calcification</b>", CELL_BOLD),
     Paragraph("Single bright echo at margins", CELL),
     Paragraph("Scattered brightness at margins", CELL),
     Paragraph("Brightness into mid-leaflet", CELL),
     Paragraph("Extensive brightness throughout leaflet", CELL)],
]
wcw = [W*0.18, W*0.205, W*0.205, W*0.205, W*0.205]
wilk_tbl = Table(wilk_data, colWidths=wcw)
wilk_tbl.setStyle(TableStyle([
    ("BACKGROUND",    (0,0), (-1,0),  colors.HexColor("#B7770D")),
    ("ROWBACKGROUNDS",(0,1), (-1,-1), [LIGHTAMB, WHITE]),
    ("GRID",          (0,0), (-1,-1), 0.4, colors.HexColor("#CCCCCC")),
    ("TOPPADDING",    (0,0), (-1,-1), 4),
    ("BOTTOMPADDING", (0,0), (-1,-1), 4),
    ("LEFTPADDING",   (0,0), (-1,-1), 5),
    ("RIGHTPADDING",  (0,0), (-1,-1), 5),
    ("VALIGN",        (0,0), (-1,-1), "TOP"),
]))
story += [wilk_tbl, sp(2)]

# Score interpretation
score_interp = [
    [Paragraph("<b>Total Score</b>", CELL_WHITE),
     Paragraph("<b>Interpretation</b>", CELL_WHITE),
     Paragraph("<b>Recommendation</b>", CELL_WHITE)],
    [Paragraph("≤ 8", CELL_BOLD),
     Paragraph("Favourable anatomy", CELL),
     Paragraph("PBMV – good results expected (>80% success)", CELL)],
    [Paragraph("9 – 11", CELL_BOLD),
     Paragraph("Intermediate", CELL),
     Paragraph("3D echo may help reclassify; individualise decision", CELL)],
    [Paragraph("> 11", CELL_BOLD),
     Paragraph("<b><font color='#C0392B'>Unfavourable anatomy</font></b>", CELL),
     Paragraph("Surgical MVR preferred; PBMV high risk of failure/MR", CELL)],
]
si_tbl = Table(score_interp, colWidths=[W*0.18, W*0.30, W*0.52])
si_tbl.setStyle(TableStyle([
    ("BACKGROUND",    (0,0), (-1,0),  colors.HexColor("#B7770D")),
    ("ROWBACKGROUNDS",(0,1), (-1,-1), [LIGHTAMB, WHITE]),
    ("GRID",          (0,0), (-1,-1), 0.4, colors.HexColor("#CCCCCC")),
    ("TOPPADDING",    (0,0), (-1,-1), 4),
    ("BOTTOMPADDING", (0,0), (-1,-1), 4),
    ("LEFTPADDING",   (0,0), (-1,-1), 6),
    ("RIGHTPADDING",  (0,0), (-1,-1), 6),
    ("VALIGN",        (0,0), (-1,-1), "MIDDLE"),
]))
story += [si_tbl, sp(3)]

# ═══════════════════════════ 8. TEE INDICATIONS ══════════════════════════════
story += [section_header("8.  TEE INDICATIONS IN SEVERE MS"), sp(2)]

tee_data = [
    [Paragraph("<b>Indication</b>", CELL_WHITE),
     Paragraph("<b>Details</b>", CELL_WHITE)],
    [Paragraph("LA/LAA thrombus detection", CELL_BOLD),
     Paragraph("TTE sensitivity <50%; TEE sensitivity ~99%, specificity ~99%. MANDATORY before PBMV", CELL)],
    [Paragraph("Spontaneous echo contrast", CELL_BOLD),
     Paragraph("'Smoke' in LA/LAA indicates severe stasis and high embolic risk", CELL)],
    [Paragraph("Valve morphology", CELL_BOLD),
     Paragraph("Better resolution of commissural fusion, subvalvular apparatus, calcification extent", CELL)],
    [Paragraph("MR quantification", CELL_BOLD),
     Paragraph("Accurate grading before any intervention; >moderate MR contraindicates PBMV", CELL)],
    [Paragraph("Post-PBMV assessment", CELL_BOLD),
     Paragraph("Commissural splitting, new/worsened MR, residual gradient, pericardial effusion", CELL)],
    [Paragraph("Intraoperative guidance", CELL_BOLD),
     Paragraph("Surgical commissurotomy and mitral valve repair/replacement", CELL)],
]
tee_tbl = Table(tee_data, colWidths=cw2)
tee_tbl.setStyle(TableStyle([
    ("BACKGROUND",    (0,0), (-1,0),  TEAL),
    ("ROWBACKGROUNDS",(0,1), (-1,-1), [LIGHTBLUE, WHITE]),
    ("GRID",          (0,0), (-1,-1), 0.4, colors.HexColor("#CCCCCC")),
    ("TOPPADDING",    (0,0), (-1,-1), 4),
    ("BOTTOMPADDING", (0,0), (-1,-1), 4),
    ("LEFTPADDING",   (0,0), (-1,-1), 6),
    ("RIGHTPADDING",  (0,0), (-1,-1), 6),
    ("VALIGN",        (0,0), (-1,-1), "TOP"),
]))
story += [tee_tbl, sp(3)]

# ═══════════════════════════ 9. COMPLETE ECHO CHECKLIST ══════════════════════
story += [section_header("9.  COMPLETE ECHO EXAMINATION CHECKLIST"), sp(2)]

chk_data = [
    [Paragraph("<b>Domain</b>", CELL_WHITE),
     Paragraph("<b>What to Assess</b>", CELL_WHITE),
     Paragraph("<b>Tool/View</b>", CELL_WHITE)],
    [Paragraph("Valve morphology", CELL_BOLD),
     Paragraph("Commissural fusion, thickening, calcification, subvalvular apparatus", CELL),
     Paragraph("PLAX, PSAX, apical views; 3D", CELL)],
    [Paragraph("Valve area", CELL_BOLD),
     Paragraph("2D/3D planimetry (primary); PHT method; continuity equation", CELL),
     Paragraph("PSAX; apical CW Doppler", CELL)],
    [Paragraph("Pressure gradient", CELL_BOLD),
     Paragraph("Mean diastolic gradient – average 3-5 beats (5 in AF)", CELL),
     Paragraph("Apical CW Doppler", CELL)],
    [Paragraph("Wilkins score", CELL_BOLD),
     Paragraph("Mobility, thickening, subvalvular, calcification – each 1-4", CELL),
     Paragraph("PLAX, PSAX, apical", CELL)],
    [Paragraph("LA / LAA", CELL_BOLD),
     Paragraph("Size, spontaneous contrast, thrombus", CELL),
     Paragraph("TTE + TEE", CELL)],
    [Paragraph("LV function", CELL_BOLD),
     Paragraph("Size, EF (usually preserved); wall motion; diastolic parameters NOT reliable", CELL),
     Paragraph("Apical views; M-mode", CELL)],
    [Paragraph("Coexisting MR", CELL_BOLD),
     Paragraph("Color Doppler; quantify grade; exclude severe MR before PBMV", CELL),
     Paragraph("Apical views; CW/PW Doppler", CELL)],
    [Paragraph("Tricuspid valve", CELL_BOLD),
     Paragraph("TR Vmax → PASP (4v² + RAP); TR severity grade", CELL),
     Paragraph("Apical 4C; CW Doppler", CELL)],
    [Paragraph("RV function", CELL_BOLD),
     Paragraph("TAPSE (>17 mm normal); TDI S' wave (>9.5 cm/s); FAC (>35%)", CELL),
     Paragraph("Apical 4C; M-mode", CELL)],
    [Paragraph("Pulmonary artery", CELL_BOLD),
     Paragraph("PA size; estimate PASP; Doppler PA flow acceleration time", CELL),
     Paragraph("PSAX at AV level", CELL)],
    [Paragraph("Other valves", CELL_BOLD),
     Paragraph("Aortic (AR, AS), tricuspid stenosis – common in rheumatic disease", CELL),
     Paragraph("Multiple views", CELL)],
]
chk_tbl = Table(chk_data, colWidths=[W*0.23, W*0.47, W*0.30])
chk_tbl.setStyle(TableStyle([
    ("BACKGROUND",    (0,0), (-1,0),  TEAL),
    ("ROWBACKGROUNDS",(0,1), (-1,-1), [LIGHTBLUE, WHITE]),
    ("GRID",          (0,0), (-1,-1), 0.4, colors.HexColor("#CCCCCC")),
    ("TOPPADDING",    (0,0), (-1,-1), 4),
    ("BOTTOMPADDING", (0,0), (-1,-1), 4),
    ("LEFTPADDING",   (0,0), (-1,-1), 6),
    ("RIGHTPADDING",  (0,0), (-1,-1), 6),
    ("VALIGN",        (0,0), (-1,-1), "TOP"),
]))
story += [chk_tbl, sp(3)]

# ═══════════════════════════ 10. QUICK REFERENCE BOX ═════════════════════════
story += [section_header("10.  SEVERE MS AT A GLANCE  –  QUICK REFERENCE", color=RED), sp(2)]

quick_data = [
    [Paragraph("<b>Parameter</b>", CELL_WHITE),
     Paragraph("<b>Severe MS Threshold</b>", CELL_WHITE)],
    [Paragraph("Mitral Valve Area", CELL_BOLD),
     Paragraph("<b><font color='#C0392B' size='10'>&lt; 1.0 cm²</font></b>", CELL)],
    [Paragraph("Mean Diastolic Gradient", CELL_BOLD),
     Paragraph("<b><font color='#C0392B' size='10'>&gt; 10 mmHg</font></b>", CELL)],
    [Paragraph("Pressure Half-Time", CELL_BOLD),
     Paragraph("<b><font color='#C0392B' size='10'>&gt; 220 ms</font></b>", CELL)],
    [Paragraph("PA Systolic Pressure", CELL_BOLD),
     Paragraph("<b><font color='#C0392B' size='10'>&gt; 50 mmHg</font></b>", CELL)],
    [Paragraph("Peak E-velocity (Vmax)", CELL_BOLD),
     Paragraph("<b><font color='#C0392B' size='10'>&gt; 1.5 – 2.0 m/s</font></b>", CELL)],
    [Paragraph("Wilkins Score (unfavourable)", CELL_BOLD),
     Paragraph("<b><font color='#C0392B' size='10'>&gt; 11</font></b>", CELL)],
]
q_tbl = Table(quick_data, colWidths=[W*0.50, W*0.50])
q_tbl.setStyle(TableStyle([
    ("BACKGROUND",    (0,0), (-1,0),  colors.HexColor("#8B0000")),
    ("ROWBACKGROUNDS",(0,1), (-1,-1), [colors.HexColor("#FFF0F0"), WHITE]),
    ("GRID",          (0,0), (-1,-1), 0.4, colors.HexColor("#CCCCCC")),
    ("TOPPADDING",    (0,0), (-1,-1), 6),
    ("BOTTOMPADDING", (0,0), (-1,-1), 6),
    ("LEFTPADDING",   (0,0), (-1,-1), 10),
    ("RIGHTPADDING",  (0,0), (-1,-1), 10),
    ("VALIGN",        (0,0), (-1,-1), "MIDDLE"),
]))
story += [q_tbl, sp(3)]

# ═══════════════════════════ FOOTER / SOURCE ═════════════════════════════════
hr_line = HRFlowable(width="100%", thickness=1, color=NAVY, spaceAfter=3*mm)
story.append(hr_line)
story.append(Paragraph(
    "<i>Sources: Textbook of Clinical Echocardiography 6e (Otto & Bonow) · Braunwald's Heart Disease 11e · "
    "Fuster & Hurst's The Heart 15e · ASE/EAE Echocardiographic Assessment of Valve Stenosis · "
    "PMC3727554 (Echocardiography in Mitral Stenosis). "
    "Generated by Orris Medical Reference · July 2026</i>",
    NOTE))

# ── Build ─────────────────────────────────────────────────────────────────────
doc.build(story)
print(f"PDF saved to: {OUTPUT}")

Running Command

cd /tmp/workspace && python severe_ms_echo_pdf.py

Running Command

ls -lh /tmp/workspace/output/Severe_MS_Echo_Reference.pdf

Your PDF reference card is ready. Download it here:

Severe MS Echo Reference

PDF Document · PDF

What's included in the PDF (10 colour-coded sections):

Severity Classification - ASE/EAE criteria table (MVA, mean gradient, PHT, PASP, peak velocity) with mild/moderate/severe columns
2D Echo Findings - Mitral valve morphology: commissural fusion, diastolic doming, hockey-stick AML, PML reversal, subvalvular changes
M-Mode Findings - Reduced EF slope (<20 mm/s), box-like AML waveform, anterior PML motion
Doppler Findings - CW Doppler table + PHT formula box + Color flow findings (PISA, intraventricular vortex)
MVA Measurement Methods - 2D planimetry, 3D planimetry, PHT, continuity equation, PISA - with pitfalls
Chamber Consequences - LA, LAA, LV, RV, RA, PA, IVS findings
Wilkins Echocardiographic Score - Full 4-feature scoring grid + interpretation (≤8 / 9-11 / >11)
TEE Indications - Thrombus detection, MR quantification, post-PBMV assessment
Complete Echo Checklist - 12-domain systematic checklist with views/tools
Quick Reference Box - All six severe MS thresholds highlighted in red

Complete echo findings of severe mr with diagrams

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Finding Sources

Searching the Web

severe mitral regurgitation echocardiography complete findings 2D Doppler EROA vena contracta criteria ASE

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Finding Sources

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