Abdominal xray - imaging and interpretation ArushiGupta119
everythng about abdominal radiograph is discussed from views to obstruction to foreign body.
definetly u r not going to get bored
read and share with your peers.
Abdominal xray - imaging and interpretation ArushiGupta119
everythng about abdominal radiograph is discussed from views to obstruction to foreign body.
definetly u r not going to get bored
read and share with your peers.
Brief description on the benign tumors of liver that includes hemangioma, focal nodular hyperplasia, regenerative nodular hyperplasia, dysplastic foci, dysplastic nodules and focal fatty change.
Breast mass is a major concern. Aim of this study is to understand the tissue character of any breast mass, if it is solid then to decide about further strategy for regular follow up and or biopsy
Imaging of the prostate with emphasis on evlauation for carcinoma, gains precedence as the curability and disease free survival rates are high. MRI with PIRADS protocol brings uniformity and enables the surgeons and radiologists to converse with great clarity and better stratification of the disease status.
Objective: Lung cancer is the leading cause of cancer death in North America. Low-dose computed tomography screening can reduce lung cancer–specific mortality by 20%.
Multidisciplinary Approach to Prostate Cancer and Changes in Treatment Decisi...CrimsonpublishersCancer
In order to demonstrate the impact of multi-disciplinary care in the community oncology setting, we evaluated treatment decisions following the initiation of a dedicated genitourinary multi-disciplinary clinic (GUMDC).
Brief description on the benign tumors of liver that includes hemangioma, focal nodular hyperplasia, regenerative nodular hyperplasia, dysplastic foci, dysplastic nodules and focal fatty change.
Breast mass is a major concern. Aim of this study is to understand the tissue character of any breast mass, if it is solid then to decide about further strategy for regular follow up and or biopsy
Imaging of the prostate with emphasis on evlauation for carcinoma, gains precedence as the curability and disease free survival rates are high. MRI with PIRADS protocol brings uniformity and enables the surgeons and radiologists to converse with great clarity and better stratification of the disease status.
Objective: Lung cancer is the leading cause of cancer death in North America. Low-dose computed tomography screening can reduce lung cancer–specific mortality by 20%.
Multidisciplinary Approach to Prostate Cancer and Changes in Treatment Decisi...CrimsonpublishersCancer
In order to demonstrate the impact of multi-disciplinary care in the community oncology setting, we evaluated treatment decisions following the initiation of a dedicated genitourinary multi-disciplinary clinic (GUMDC).
El QUANTEC nos ayuda a los oncólogos radioterápicos a la hora de aprobar un tratamiento con sus tablas con "constraints" de los órganos de riesgo (los límites de dosis que pueden recibir los órganos sanos situados entorno al tumor que queremos tratar).
PD: Las tablas se encuentran en las páginas 15-17
The LANCET Oncology is the world-leading clinical oncology research journal globally (2021 Journal Citation Reports®, Clarivate 2022) With an Impact Factor of 54·433.
Publisher: Elsevier's Oncology Journal Network
Total Indexing – 11
Some Indexing sites are – Scopus , MEDLINE ,PubMed , Chemical Abstracts , Essential Science Indicators ,etc .
Editor :David Collingridge, Editor-in-Chief , gained a PhD in Tumour Biology from the Gray Cancer Institute/University College London (UK) and held research posts in the Department of Therapeutic Radiology, Yale University (USA) and in the PET Oncology Group, Imperial College School of Medicine, Hammersmith Hospital (UK)
Austin Journal of Clinical & Diagnostic Research is a multidisciplinary, Rapid-Publication journal. Austin Journal of Clinical & Diagnostic Research Journal is open to scientists from all countries. The mission of the journal is to promote topics of Clinical & Diagnostic research, as well as stimulate international cooperation in these areas. The journal will consider articles from every legitimate specialty.
Austin Publishing Group's mission to facilitate immediate access to scientific data through an Open Access platform is greatly supported by invaluable contributions from the strong editorial and advisory boards.
Austin Publishing Group is moving ahead with a vision to develop an optimized knowledge sharing platform and an enlightening interactive network for researchers all over the world through its scientific publications and meetings.
The Impact of Lymph Node Dissection on Survival in Intermediate- and High-Ris...semualkaira
Aimed to evaluate the therapeutic effect of pelvic lymph node dissection (PLND) on survival and determine the predictors of lymph node involvement (LNI) in patients with intermediate- or high-risk prostate cancer (PCa) treated with Radical Prostatectomy
Title: Sense of Smell
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the primary categories of smells and the concept of odor blindness.
Explain the structure and location of the olfactory membrane and mucosa, including the types and roles of cells involved in olfaction.
Describe the pathway and mechanisms of olfactory signal transmission from the olfactory receptors to the brain.
Illustrate the biochemical cascade triggered by odorant binding to olfactory receptors, including the role of G-proteins and second messengers in generating an action potential.
Identify different types of olfactory disorders such as anosmia, hyposmia, hyperosmia, and dysosmia, including their potential causes.
Key Topics:
Olfactory Genes:
3% of the human genome accounts for olfactory genes.
400 genes for odorant receptors.
Olfactory Membrane:
Located in the superior part of the nasal cavity.
Medially: Folds downward along the superior septum.
Laterally: Folds over the superior turbinate and upper surface of the middle turbinate.
Total surface area: 5-10 square centimeters.
Olfactory Mucosa:
Olfactory Cells: Bipolar nerve cells derived from the CNS (100 million), with 4-25 olfactory cilia per cell.
Sustentacular Cells: Produce mucus and maintain ionic and molecular environment.
Basal Cells: Replace worn-out olfactory cells with an average lifespan of 1-2 months.
Bowman’s Gland: Secretes mucus.
Stimulation of Olfactory Cells:
Odorant dissolves in mucus and attaches to receptors on olfactory cilia.
Involves a cascade effect through G-proteins and second messengers, leading to depolarization and action potential generation in the olfactory nerve.
Quality of a Good Odorant:
Small (3-20 Carbon atoms), volatile, water-soluble, and lipid-soluble.
Facilitated by odorant-binding proteins in mucus.
Membrane Potential and Action Potential:
Resting membrane potential: -55mV.
Action potential frequency in the olfactory nerve increases with odorant strength.
Adaptation Towards the Sense of Smell:
Rapid adaptation within the first second, with further slow adaptation.
Psychological adaptation greater than receptor adaptation, involving feedback inhibition from the central nervous system.
Primary Sensations of Smell:
Camphoraceous, Musky, Floral, Pepperminty, Ethereal, Pungent, Putrid.
Odor Detection Threshold:
Examples: Hydrogen sulfide (0.0005 ppm), Methyl-mercaptan (0.002 ppm).
Some toxic substances are odorless at lethal concentrations.
Characteristics of Smell:
Odor blindness for single substances due to lack of appropriate receptor protein.
Behavioral and emotional influences of smell.
Transmission of Olfactory Signals:
From olfactory cells to glomeruli in the olfactory bulb, involving lateral inhibition.
Primitive, less old, and new olfactory systems with different path
Pulmonary Thromboembolism - etilogy, types, medical- Surgical and nursing man...VarunMahajani
Disruption of blood supply to lung alveoli due to blockage of one or more pulmonary blood vessels is called as Pulmonary thromboembolism. In this presentation we will discuss its causes, types and its management in depth.
ARTIFICIAL INTELLIGENCE IN HEALTHCARE.pdfAnujkumaranit
Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. It encompasses tasks such as learning, reasoning, problem-solving, perception, and language understanding. AI technologies are revolutionizing various fields, from healthcare to finance, by enabling machines to perform tasks that typically require human intelligence.
Ethanol (CH3CH2OH), or beverage alcohol, is a two-carbon alcohol
that is rapidly distributed in the body and brain. Ethanol alters many
neurochemical systems and has rewarding and addictive properties. It
is the oldest recreational drug and likely contributes to more morbidity,
mortality, and public health costs than all illicit drugs combined. The
5th edition of the Diagnostic and Statistical Manual of Mental Disorders
(DSM-5) integrates alcohol abuse and alcohol dependence into a single
disorder called alcohol use disorder (AUD), with mild, moderate,
and severe subclassifications (American Psychiatric Association, 2013).
In the DSM-5, all types of substance abuse and dependence have been
combined into a single substance use disorder (SUD) on a continuum
from mild to severe. A diagnosis of AUD requires that at least two of
the 11 DSM-5 behaviors be present within a 12-month period (mild
AUD: 2–3 criteria; moderate AUD: 4–5 criteria; severe AUD: 6–11 criteria).
The four main behavioral effects of AUD are impaired control over
drinking, negative social consequences, risky use, and altered physiological
effects (tolerance, withdrawal). This chapter presents an overview
of the prevalence and harmful consequences of AUD in the U.S.,
the systemic nature of the disease, neurocircuitry and stages of AUD,
comorbidities, fetal alcohol spectrum disorders, genetic risk factors, and
pharmacotherapies for AUD.
Explore natural remedies for syphilis treatment in Singapore. Discover alternative therapies, herbal remedies, and lifestyle changes that may complement conventional treatments. Learn about holistic approaches to managing syphilis symptoms and supporting overall health.
These lecture slides, by Dr Sidra Arshad, offer a quick overview of physiological basis of a normal electrocardiogram.
Learning objectives:
1. Define an electrocardiogram (ECG) and electrocardiography
2. Describe how dipoles generated by the heart produce the waveforms of the ECG
3. Describe the components of a normal electrocardiogram of a typical bipolar leads (limb II)
4. Differentiate between intervals and segments
5. Enlist some common indications for obtaining an ECG
Study Resources:
1. Chapter 11, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 9, Human Physiology - From Cells to Systems, Lauralee Sherwood, 9th edition
3. Chapter 29, Ganong’s Review of Medical Physiology, 26th edition
4. Electrocardiogram, StatPearls - https://www.ncbi.nlm.nih.gov/books/NBK549803/
5. ECG in Medical Practice by ABM Abdullah, 4th edition
6. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
- Video recording of this lecture in English language: https://youtu.be/lK81BzxMqdo
- Video recording of this lecture in Arabic language: https://youtu.be/Ve4P0COk9OI
- Link to download the book free: https://nephrotube.blogspot.com/p/nephrotube-nephrology-books.html
- Link to NephroTube website: www.NephroTube.com
- Link to NephroTube social media accounts: https://nephrotube.blogspot.com/p/join-nephrotube-on-social-media.html
Hemodialysis: Chapter 3, Dialysis Water Unit - Dr.Gawad
Tirads
1. ORIGINAL ARTICLE
Thyroid Ultrasound Reporting Lexicon: White
Paper of the ACR Thyroid Imaging, Reporting
and Data System (TIRADS) Committee
Edward G. Grant, MDa
, Franklin N. Tessler, MDb
, Jenny K. Hoang, MBBSc
, Jill E. Langer, MDd
,
Michael D. Beland, MDe
, Lincoln L. Berland, MDb
, John J. Cronan, MDe
, Terry S. Desser, MDf
,
Mary C. Frates, MDg
, Ulrike M. Hamper, MDh
, William D. Middleton, MDi
, Carl C. Reading, MDj
,
Leslie M. Scoutt, MDk
, A. Thomas Stavros, MDl
, Sharlene A. Teefey, MDi
Abstract
Ultrasound is the most commonly used imaging technique for the evaluation of thyroid nodules. Sonographic findings are often not
specific, and definitive diagnosis is usually made through fine-needle aspiration biopsy or even surgery. In reviewing the literature, terms
used to describe nodules are often poorly defined and inconsistently applied. Several authors have recently described a standardized risk
stratification system called the Thyroid Imaging, Reporting and Data System (TIRADS), modeled on the BI-RADS system for breast
imaging. However, most of these TIRADS classifications have come from individual institutions, and none has been widely adopted in
the United States. Under the auspices of the ACR, a committee was organized to develop TIRADS. The eventual goal is to provide
practitioners with evidence-based recommendations for the management of thyroid nodules on the basis of a set of well-defined
sonographic features or terms that can be applied to every lesion. Terms were chosen on the basis of demonstration of consistency
with regard to performance in the diagnosis of thyroid cancer or, conversely, classifying a nodule as benign and avoiding follow-up. The
initial portion of this project was aimed at standardizing the diagnostic approach to thyroid nodules with regard to terminology through
the development of a lexicon. This white paper describes the consensus process and the resultant lexicon.
Key Words: Thyroid nodule, ultrasound, thyroid cancer, structured reporting, thyroid imaging
J Am Coll Radiol 2015;-:---. Copyright Ó 2015 American College of Radiology
INTRODUCTION
The incidence of thyroid nodules has increased tremen-
dously in recent years. The reasons for this increase are likely
multifactorial but are largely attributed to widespread
application of high-resolution ultrasound to the thyroid it-
self and the frequent incidental detection of nodules on
other imaging modalities. In distinction to palpation, which
demonstrates nodules in only 5% to 10% of the population,
autopsy and sonography detect them in at least 60% [1].
Although nodules are extremely common, the incidence of
malignancy in them is relatively low, ranging between 1.6%
and 12% [2,3].
Ultrasound is superior to other modalities in charac-
terizing thyroid nodules. Unfortunately, the findings are
often not specific, and definitive diagnosis usually requires
fine-needle aspiration (FNA) biopsy or even surgery.
Because nodules are so common, a significant burden is
placed on the health care system, and considerable anxiety
a
Keck School of Medicine, University of Southern California, Los Angeles,
California.
b
University of Alabama at Birmingham, Birmingham, Alabama.
c
Duke University School of Medicine, Durham, North Carolina.
d
University of Pennsylvania, Philadelphia, Pennsylvania.
e
Brown University, Providence, Rhode Island.
f
Stanford University Medical Center, Stanford, California.
g
Brigham and Women’s Hospital, Boston, Massachusetts.
h
Johns Hopkins University, School of Medicine, Baltimore, Maryland.
i
Washington University School of Medicine, St. Louis, Missouri.
j
Mayo Clinic College of Medicine, Rochester, Minnesota.
k
Yale University, New Haven, Connecticut.
l
Sutter Medical Group, Englewood, Colorado.
Corresponding author and reprints: Edward G. Grant, MD, Keck School of
Medicine, UniversityofSouthernCalifornia,Department of Radiology,1500
San Pablo Street, Los Angeles, CA 90033; e-mail: edgrant@med.usc.edu.
The authors have no conflicts of interest related to material discussed in this
article.
ª 2015 American College of Radiology
1546-1440/15/$36.00 n http://dx.doi.org/10.1016/j.jacr.2015.07.011 1
2. may occur in patients. Furthermore, the majority of thy-
roid cancers are of the papillary type, which is typically
indolent. Long-term studies by Ito et al [4] showed no
difference in outcomes between patients with biopsy-
proven carcinomas <1 cm undergoing thyroidectomy
and those followed with no surgical intervention.
The literature regarding thyroid nodule characteriza-
tion with ultrasound is expansive, and several professional
organizations have put forth position or consensus state-
ments. The two best known in the United States are from
the American Thyroid Association (ATA) and the Society
of Radiologists in Ultrasound [5,6]. Because FNA biopsy is
such an integral part of the workup of thyroid nodules, the
American Society of Cytopathology convened its own
consensus panel to standardize reporting of biopsy results,
which is known as the Bethesda classification [7].
Several authors have suggested a standardized risk
stratification system called theThyroid Imaging, Reporting
and Data System (TIRADS), modeled on the BI-RADSÒ
system for breast imaging, which has received widespread
acceptance [8-10]. These proposals include the initial
report by Horvath et al [9], as well as subsequent proposals
by Kwak et al [8] and Park et al [10]. Despite these efforts,
none of these TIRADS classifications have been widely
adopted, particularly in the United States.
Our objective, therefore, was to develop a practical,
standard lexicon for describing the sonographic charac-
teristics of thyroid nodules, with the ultimate aim of
applying it to risk stratification and triage of nodules for
consistent follow-up in clinical practice.
METHODS
Beginning in 2012, a group of radiologists with expertise
in thyroid imaging undertook a three-stage process under
the auspices of the ACR; a subcommittee was charged
with completing each one. The first effort, led by Lincoln
Berland, MD, and Jenny Hoang, MBBS, was aimed at
proposing recommendations for nodules discovered
incidentally on imaging. This work led to a white paper
published in 2015 [11]. The work reported here on the
development of an ultrasound lexicon was led by Edward
Grant, MD, whereas the final stage, which will be
directed at risk stratification on the basis of the lexicon,
will be led by Franklin Tessler, MD.
After an extensive literature review, relevant articles
were distributed to all subcommittee members. Each
radiologist was assigned three or four articles and was asked
to list terms used by the authors to describe thyroid nod-
ules. ACR staff members collated the lists, and a master list
was drawn up. Frequency of use was the initial guide for
determining which terms would be included in the lexicon.
The committee initially identified nine categories or
families of terms that could be applied to all thyroid nod-
ules: nodule composition, echogenicity, characteristics of
cystic/solid components, shape, size/dimensions, margins,
halo, echogenic foci, and flow/Doppler. Next, subcom-
mittee members re-reviewed the literature to determine
whether there was evidence that the categories and terms
had discriminatory value in distinguishing benign from
malignant nodules, which led to culling the category list.
This process resulted in the selection of six final categories.
Several of the original categories as well as numerous terms
were eliminated fromthe lexicon or incorporatedinto other
groups based either on infrequency of use or lack of sta-
tistical agreement with regard to their diagnostic value.
Two members were assigned to develop definitions for each
category and its individual terms in a format used for other
ACR “RADS” lexicons.
THYROID ULTRASOUND CATEGORIES
Category 1: Composition
Definition.
n Composition describes the internal components of a
nodule, that is, the presence of soft tissue or fluid, and
the proportion of each.
B Solid: Composed entirely or nearly entirely of soft
tissue, with only a few tiny cystic spaces (Fig. 1A).
B Predominately solid: Composed of soft tissue
components occupying 50% or more of the volume
of the nodule (Fig. 1B, online only).
B Predominately cystic: Composed of soft tissue
components occupying less than 50% of the vol-
ume of the nodule (Fig. 1C, online only).
B Cystic: Entirely fluid filled.
B Spongiform: Composed predominately of tiny
cystic spaces (Fig. 1D, online only).
Background and Significance.
n A nodule should fit into one of the foregoing five cate-
gories. However, rarely, it may be difficult to determine
if a nodule is filled with hemorrhagic material or is solid.
Color Doppler flow may be useful in differentiating
between the two.
n Papillary thyroid carcinoma (PTC) is most commonly
solid, but many solid nodules are also benign; a solid
nodule has a 15% to 27% chance of being malignant [6].
Some nodules undergo cystic degeneration or necrosis.
A recent study of partially cystic nodules showed that the
2 Journal of the American College of Radiology
Volume - n Number - n Month 2015
3. prevalence of malignancy was low whether the nodule was
predominately cystic (6.1%) or predominately solid
(5.7%) [12]. When evaluating a partially cystic nodule, it
is important to evaluate the solid component. If the solid
component is eccentrically (peripherally) located within a
partially cystic nodule and the margin of the solid
component has an acute angle with the wall of the nodule,
the risk for malignancy is increased. Furthermore, if the
solid component is hypoechoic, is lobulated, has an irreg-
ular border or punctate echogenic foci line, or has vascular
flow, the risk for malignancy is increased. If the solid
component is isoechoic, is centrally located within
the nodule or, if peripheral, has no acute angle with the
nodule wall, or has a smooth margin, spongiform appear-
ance, or comet tail artifacts, it is likely benign [13,14].
n Purely cystic nodules or spongiform nodules have a
very low risk for malignancy [6]. Two definitions of
spongiform nodules have been proposed in the litera-
ture. When a spongiform nodule was defined as “the
aggregation of multiple microcystic components in
more than 50% of the volume of the nodule,” only one
in 52 spongiform nodules was malignant [15]. When a
spongiform nodule was defined as tiny cystic spaces
involving the entire nodule, all 210 spongiform nod-
ules were benign on FNA biopsy [16].
Comment.
n Terms used to describe partially cystic or partially solid
nodules vary, with some authors breaking down the ratio
of the two into numerical values on the basis of per-
centage whereas others choose to be more descriptive.
The committee believed that the simple, subjective
description of predominately cystic versus predomi-
nately solid would suffice.
n Although somewhat controversial, the committee
agreed that finding several tiny cystic spaces in an
otherwise completely solid nodule would still allow it to
be classified as solid.
Category 2: Echogenicity
Definition.
n Level of echogenicity of the solid, noncalcified compo-
nent of a nodule, relative to surrounding thyroid tissue
[8,10,15,17-19].
B Hyperechoic: Increased echogenicity relative to
thyroid tissue (Fig. 2A, online only).
B Isoechoic: Similar echogenicity relative to thyroid
tissue.
B Hypoechoic: Decreased echogenicity relative to
thyroid tissue (Fig. 2B, online only).
B Very hypoechoic: Decreased echogenicity relative to
adjacent neck musculature (Fig. 2C).
Background and Significance.
n The level of nodule echogenicity is associated with both
benign and malignant lesions. Very hypoechoic nodules
have low sensitivity but very high specificity. Hypo-
echogenicity is more sensitive but does not have high
specificity [15,18,19].
Comment.
n The echogenicity of the solid component of a nodule
should be compared with normal-appearing thyroid tis-
sue, usually immediately adjacent to the nodule. In the
setting of background abnormal thyroid tissue echogen-
icity, such as in Hashimoto’s thyroiditis, the echogenicity
of thesolid componentshould stillbedescribedrelativeto
the adjacent thyroid tissue, but it may be noted that the
background tissue is of altered echogenicity.
n If the nodule is of mixed echogenicity, it can be
described as “predominantly” hyperechoic, isoechoic,
or hypoechoic.
Fig 1. Composition. (A) Solid nodule: 46-year-old man with
3.5-cm solid, hypoechoic nodule. Margins are smooth.
Macrocalcifications were identified on other sections.
Diagnosis: medullary carcinoma. (B, online only) Predomi-
nately solid nodule: 63-year-old woman with a 1.6-cm
predominately solid, hyperechoic nodule. Margins are
smooth. Note presence of punctate echogenic foci and foci
with small comet-tail artifacts. Diagnosis: colloid nodule
(Bethesda 2). (C, online only) Predominately cystic nodule:
26-year-old man with a 4.5-cm predominately cystic nodule.
Note solid components along superior/posterior wall (arrow).
Diagnosis: cystic nodule, nondiagnostic (Bethesda 1).
Appearance of aspirate was consistent with old blood.
Nodule recurred but no change over 2-year follow-up. (D,
online only) Spongiform nodule: 49-year-old woman with
1.9-cm spongiform nodule in left lobe of thyroid. Diagnosis:
colloid nodule based on appearance, biopsy not performed.
Journal of the American College of Radiology 3
Grant et al n Thyroid Ultrasound Reporting Lexicon
4. Category 3: Shape
Term: taller-than-wide.
Definition.
n A taller-than-wide shape is defined as a ratio of >1 in
the anteroposterior diameter to the horizontal diameter
when measured in the transverse plane (Fig. 3).
Background and Significance.
n Taller-than-wide shape is a major feature for the cate-
gorization of thyroid nodules that are suspicious or
suggestive of malignancy. The corresponding pathologic
feature leading to this appearance is thought to be de-
creased compressibility. This finding is seen in 12% of
thyroid nodules [8]. Sensitivity ranges between 40% and
68%, specificity between 82% and 93%, positive pre-
dictive value between 0.58 and 0.73, and negative pre-
dictive value between 0.77 and 0.88 [8,17,20-22].
Comment.
n In studies that specify how measurements are made,
there are no significant differences comparing transverse
or longitudinal dimensions [20,23]. For simplicity and
consistency, the committee chose the ratio of >1 in the
anteroposterior diameter to the horizontal diameter in
the transverse plane.
Category 4: Size
How the nodule should be measured:
n Use maximal diameter on the basis of longitudinal,
anteroposterior, and transverse measurements in cen-
timeters per millimeter.
Background and Significance.
n Multiple studies have suggested that nodule size is not an
independent predictor of malignancy risk in PTC. Tiny
nodules can harbor malignancy, and large nodules are
often benign. In a Finnish autopsy study of 101 thyroid
glands, investigators found small, occult thyroid cancers
in 36% [24]. As noted previously, the study by Ito et al
[4] showed no value in performing thyroidectomy on
small cancers.
n The correlation between nodule size and risk for ma-
lignancy remains controversial for nodules >1 cm. A
2013 study that included 7,346 nodules examined the
effect of nodule size on the prevalence of thyroid cancer.
At a threshold of 2 cm, the investigators found a statis-
tically significant increase in cancer rate: 10.5% among
the nodules 1 to 1.9 cm in diameter versus 15% for
nodules >2 cm. Whether this is clinically significant is
doubtful. In this study, larger nodules, when cancerous,
were significantly more likely to have a histology other
than papillary carcinoma (follicular, Hurthle cell, or
other rare malignancies) [25].
Comment.
n Current thinking about biopsy of nodules <1 cm
seems to be shifting to a more conservative approach.
The most recent ATA guidelines [26] do not
Fig 3. Shape: 56-year-old woman with taller-than-wide nodule
in left lobe of thyroid. Dimensions measured in the transverse
plane are 1.4 cm transverse  1.8 cm anteroposterior. Diagnosis:
follicular variant, papillary carcinoma.
Fig 2. Echogenicity. (A, online only) Hyperechoic nodule:
63-year-old woman with 1.6-cm hyperechoic predominately
solid, smooth nodule. Note punctate echogenic foci. Diagnosis:
colloid nodule (Bethesda 2). (B, online only) Hypoechoic
nodule: 62-year-old man with 1.6-cm hypoechoic, solid nodule
with smooth margins. Note large comet-tail artifact along
inferior border. Diagnosis: papillary carcinoma. (C) Very
hypoechoic nodule: 55-year-old woman with 1.0-cm very
hypoechoic left lobe nodule (N). Margins are smooth. Note
that nodule is less echogenic than adjacent strap muscles (S)
and essentially isoechoic to the common carotid artery (C).
Diagnosis: papillary carcinoma.
4 Journal of the American College of Radiology
Volume - n Number - n Month 2015
5. recommend biopsy of most lesions <1 cm. For nod-
ules larger than 1 cm, considering the uncertainty
between nodule size and malignancy risk, compared
with the more consistent data on the impact of other
sonographic features, we believe it is reasonable not to
include size in the TIRADS scoring system.
Category 5: Margins
Definition.
n Refers to the border or interface between the nodule
and the adjacent thyroid parenchyma or adjacent
extrathyroidal structures.
B Smooth: Uninterrupted, well-defined, curvilinear
edge typically forming a spherical or elliptical shape
(Fig. 4A, online only)
B Irregular margin: The outer border of the nodule is
spiculated, jagged, or with sharp angles with or
without clear soft tissue protrusions into the paren-
chyma. The protrusions may vary in size and conspi-
cuity and may be present in only one portion of the
nodule (Fig. 4B).
B Lobulated: Border has focal rounded soft tissue
protrusions that extend into the adjacent paren-
chyma. The lobulations may be single or multiple
and may vary in conspicuity and size (small lobu-
lations are referred to as microlobulated) (Fig. 4C,
online only).
B Ill-defined: Border of the nodule is difficult to
distinguish from thyroid parenchyma; the nodule
lacks irregular or lobulated margins.
B Halo: Border consists of a dark rim around the pe-
riphery of the nodule. The halo can be described as
completely or partially encircling the nodule. In the
literature, halos have been further characterized as
uniformly thin, uniformly thick, or irregular in
thickness.
B Extrathyroidal extension: Nodule extends through
the thyroid capsule (Fig. 4D, online only).
Background and Significance.
n A smooth border is more common in benign nodules,
but between 33% and 93% of malignancies may have
smooth borders [15,27]. Irregular and lobulated mar-
gins are features suspicious for thyroid malignancy [28].
These borders are considered to represent an aggressive
growth pattern, although regions of thyroiditis can also
have irregular margins. An ill-defined thyroid nodule
margin has not been shown to be statically significantly
associated with malignancy and is a common finding in
benign hyperplastic nodules and thyroiditis [15,27,29].
n A halo may be due to a true fibrous capsule or a pseu-
docapsule. A uniform halo suggests a benign nodule
because most thyroid malignancies are unencapsulated.
However, a complete or incomplete halo has been noted
in 10% to 24% of thyroid carcinomas.
n Extension of the nodule through the thyroid capsule
into the adjacent soft tissue structures indicates
invasive malignancy [29].
Comment.
n Analysis of the literature about the reported sensitivity
and specificity of margin features is challenging
because of previous nonuniformity in the definitions
and the high rate of interobserver variability [15].
Category 6: Echogenic Foci
Definition.
n Refers to focal regions of markedly increased echogen-
icity within a nodule relative to the surrounding tissue.
Echogenic foci vary in size and shape and may be
encountered alone or in association with several well-
known posterior acoustic artifacts.
B Punctate echogenic foci: “Dot-like” foci having no
posterior acoustic posterior artifacts. Kwak et al [8]
defined punctate foci/microcalcifications as being
<1 mm. Most authors define this feature on the
basis of appearance alone (Fig. 5A).
Fig 4. Margins. (A, online only) Smooth margin: 49-year-old
woman with 2.2-cm hypoechoic nodule with a smooth margin.
Diagnosis: benign follicular nodule (Bethesda 2). (B) Irregular
margin: 47-year-old woman with heterogeneously hyperechoic
16-mm nodule with irregular margins. Note angulated borders
anteriorly. Diagnosis: papillary carcinoma. (C, online only)
Lobulated margin: 56-year-old man with 3.4-cm lobulated,
hyperechoic nodule. Macrocalcifications were present in other
sections. Diagnosis: papillary carcinoma. (D, online only)
Extrathyroidal extension: 73-year-old man with a large,
lobulatedhypoechoicmassinvolvingisthmusandleftlobe.Note
loss of definition of tissue planes anteriorly suggesting
extrathyroidal invasion. Diagnosis: anaplastic carcinoma.
Journal of the American College of Radiology 5
Grant et al n Thyroid Ultrasound Reporting Lexicon
6. B Macrocalcifications: When calcifications become
large enough to result in posterior acoustic shadow-
ing, they should be considered macrocalcifications.
Macrocalcifications may be irregular in shape
(Fig. 5B, online only).
B Peripheral calcifications: These calcifications occupy
the periphery of the nodule. The calcification may
not be completely continuous but generally involves
the majority of the margin. Peripheral calcifications
are often dense enough to obscure the central
components of the nodule (Fig. 5C, online only).
B Comet-tail artifacts: A comet-tail artifact is a type of
reverberation artifact. The deeper echoes become
attenuated and are displayed as decreased width,
resulting in a triangular shape. If an echogenic focus
does not have this feature, a comet-tail artifact
should not be described (Fig. 5D, online only).
Background and Significance.
n Echogenic foci have been associated with both benign
and malignant lesions.
n Many authors have referred to all punctate echogenic
foci in thyroid nodules simply as microcalcifications, but
the majority of such foci are found in benign nodules,
and therefore the term microcalcification is a misnomer
[12]. The origins of punctate echogenic foci other than
from true psammomatous microcalcifications of PTC
are likely varied but, for example, have been shown to
arise from the back walls of tiny unresolved cysts when
seen in other organs such as the ovary or kidney.
Although seen in both benign and malignant nodules,
multiple studies have shown high specificity for punctate
echogenic foci in malignant nodules [15,19,30,31].
n Macrocalcifications are generally considered to have an
association with increased risk for malignancy, perhaps
slightly more than double the baseline risk [8,15,21].
n For peripheral calcifications, studies have been con-
flicting, with some demonstrating an increased associa-
tion with malignancy and others not [12,22].
n Recently, authors have subclassified comet-tail artifacts
into small and large types and found a prevalence of
malignancy of 15% in nodules that had echogenic foci
with small comet-tail artifacts [12]. Conversely, when
considering large comet-tail artifacts in cystic or
partially cystic nodules, multiple studies have shown a
strong association with benignity [12,32,33].
Comment.
n When present, the type of echogenic focus encoun-
tered within a given nodule should be specified. If
more than one type of echogenic focus is present in a
single nodule, each should be enumerated. If none are
present, this should be stated.
DISCUSSION
Ultrasound is the most commonly used imaging technique
intheevaluationofthyroidnodules,anditsusehasincreased
the discovery of nodules greatly. With that in mind, and
given that there are conflicting recommendations from
several societies, the ACR sponsored this TIRADS project.
In keeping with other similar projects, the eventual goal of
TIRADS is to provide practitioners with evidence-based
recommendations formulated upon defined sonographic
features of a given nodule. This initial portion of our project
was aimed at standardizing the diagnostic approach to thy-
roid nodules with regard to terminology.
A wide array of terms has been used to describe the
characteristics of thyroid nodules. Closely examining the
existing literature, we found that terms used to describe
nodules are often poorly defined and inconsistently
applied. Furthermore, multiple terms have often been
used to describe the same feature. This has led to
confusion as to when and how these terms should be
Fig 5. Echogenic foci. (A) Punctate echogenic foci: 44-year-old
woman with 3.2-cm isoechoic smoothly marginated nodule.
Note numerous punctate echogenic foci with no posterior
acoustic artifacts. Diagnosis: colloid nodule (Bethesda 2).
(B, online only) Macrocalcifications: 49-year-old woman with a
1.7-cm hypoechoic, ill-defined nodule at the junction of the right
lobe and isthmus. Large shadowing echogenic structure
(macrocalcification)ispresent inposteriorportion ofthenodule.
Diagnosis: colloid nodule (Bethesda 2). (C, online only) Periph-
eral calcifications: 43-year-old woman with 3.1-cm solid,
hyperechoic nodule with peripheral calcifications. Diagnosis:
follicular carcinoma. (D, online only) Echogenic foci with large
comet-tail artifacts: 41-year-old man with 2.7-cm cystic nodule
containing multiple, mobile, echogenic foci with large comet-tail
artifacts. Note tapering of comet tails posteriorly. Diagnosis:
colloid nodule (Bethesda 2).
6 Journal of the American College of Radiology
Volume - n Number - n Month 2015
7. applied and, in many cases, what they actually mean.
Clearly, inconsistent reporting leads to confusion about
recommendations for further management.
Our committee sought to use terms already in com-
mon use in the literature rather than inventing new ones.
We sought to provide concise written definitions with
illustrations that can be used as a guide for practitioners.
Terms that were chosen demonstrated consistency with
regard to performance in the diagnosis of thyroid cancer
or to classifying a nodule as benign. Additionally, it was
believed that features should be included that would be
reproducible among various readers.
Although Doppler was considered as a potential cate-
gory, the committee did not recommend its inclusion on
the basis of inconsistent literature about its value in
differentiating cancer from benign nodules. One might
apply it technically (eg, to better define a subtle nodule),
but this is not something that would influence the
TIRADS classification.
Another problematic subject was nodule size. Again,
there is no consistent information in the literature that
equates increasing size to an increased incidence of can-
cer. On the other side of the size spectrum, the recent
guidelines published by the ATA [26] state that only
nodules greater than 1 cm should be evaluated, unless
there are compelling circumstances, such as a lesion that
bulges the thyroid capsule or has accompanying abnormal
lymph nodes or nodules in patients with high-risk clinical
factors. Reviewing the literature, we found that charac-
teristics of thyroid nodules other than size are more
closely associated with benign or malignant lesions, and
we prefer that these form the basis for our standardized
evaluation of thyroid nodules.
TAKE-HOME POINTS
n The goal of this project is to standardize terminology
applied to thyroid nodules, such that all practitioners
approach their evaluation in a similar fashion.
n The establishment of a lexicon is an essential initial
step that provides a structured method for evalua-
tion. The imager is directed to evaluate specific
aspects of the nodule in an orderly fashion and is
provided with a set of well-defined terms and fea-
tures within each area of that evaluation.
n Theaimistodecreasethevariationseeninreportingof
thyroid nodules in current practice. The ultimate goal
is to develop guidelines for follow-up on the basis of
statistics associated with the terms in the lexicon.
ADDITIONAL RESOURCES
Additional resources can be found online at: http://dx.
doi.org/10.1016/j.jacr.2015.07.011.
REFERENCES
1. Ezzat S, Sarti DA, Cain DR, Braunstein GD. Thyroid incidentalomas.
Prevalence by palpation and ultrasonography. Arch Intern Med
1994;154:1838-40.
2. Smith-Bindman R, Lebda P, Feldstein VA, et al. Risk of thyroid cancer
based on thyroid ultrasound imaging characteristics: results of a
population-based study. JAMA Intern Med 2013;173:1788-96.
3. Nam-Goong IS, Kim HY, Gong G, et al. Ultrasonography-guided
fine-needle aspiration of thyroid incidentaloma: correlation with
pathological findings. Clin Endocrinol (Oxf) 2004;60:21-8.
4. Ito Y, Miyauchi A, Inoue H, et al. An observational trial for papillary
thyroid microcarcinoma in Japanese patients. World J Surg 2010;34:
28-35.
5. Cooper DS, Doherty GM, Haugen BR, et al. Revised American
Thyroid Association management guidelines for patients with thyroid
nodules and differentiated thyroid cancer. Thyroid 2009;19:
1167-214.
6. Frates MC, Benson CB, Charboneau JW, et al. Management of thy-
roid nodules detected at US: Society of Radiologists in Ultrasound
consensus conference statement. Radiology 2005;237:794-800.
7. Cibas ES, Ali SZ. The Bethesda system for reporting thyroid cytopa-
thology. Am J Clin Pathol 2009;132:658-65.
8. Kwak JY, Han KH, Yoon JH, et al. Thyroid Imaging Reporting and
Data System for US features of nodules: a step in establishing better
stratification of cancer risk. Radiology 2011;260:892-9.
9. Horvath E, Majlis S, Rossi R, et al. An ultrasonogram reporting system
for thyroid nodules stratifying cancer risk for clinical management.
J Clin Endocrinol Metab 2009;94:1748-51.
10. Park JY, Lee HJ, Jang HW, et al. A proposal for a thyroid imaging
reporting end data system for ultrasound features of thyroid carcinoma.
Thyroid 2009;19:1257-64.
11. Hoang JK, Langer JE, Middleton WD, et al. Managing incidental
thyroid nodules detected on imaging: white paper of the ACR Incidental
Thyroid Findings Committee. J Am Coll Radiol 2015;12:143-50.
12. Malhi H, Beland MD, Cen SY, Allgood E, Daley K, Martin SE,
Cronan JJ, Grant EG. Echogenic foci in thyroid nodules: significance
of posterior acoustic artifacts. AJR Am J Roentgenol 2014;203:1310-6.
13. Kim DW, Lee EJ, In HS, Kim SJ. Sonographic differentiation of
partially cystic thyroid nodules: a prospective study. AJNR Am J
Neuroradiol 2010;31:1961-6.
14. Henrichsen TL, Reading CC, Charboneau JW, Donovan DJ, Sebo TJ,
Hay ID. Cystic change in thyroid carcinoma: prevalence and estimated
volume in 360 carcinomas. J Clinical Ultrasound 2010;38:361-6.
15. Moon WJ, Jung SL, Lee JH, Na DG, Baek JH, et al. Benign and
malignant thyroid nodules: US differentiation-multicenter retrospec-
tive study. Radiology 2008;247:762-70.
16. Bonavita JA, Mayo J, Babb J, Bennett G, Oweity T, Macari M, Yee J.
Pattern recognition of benign nodules at ultrasound of the thyroid:
which nodules can be left alone? AJR Am J Roentgenol 2009;193:
207-13.
17. Ahn SS, Kim E-K, Kang DR, Lim S-K, Kwak JY, Kim MJ. Biopsy of
thyroid nodules: comparison of three sets of guidelines. AJR Am J
Roentgenol 2010;194:31-7.
18. Frates MC, Benson CB, Doubilet PM, et al. Prevalence and distri-
bution of carcinoma in patients with solitary and multiple thyroid
nodules on sonography. J Clin Endocrinol Metab 2006;91:3411-7.
19. Papini E, Guglielmi R, Bianchini A, et al. Risk of malignancy in
nonpalpable thyroid nodules: predictive value of ultrasound and color-
Doppler features. J Clin Endocrinol Metab 2002;87:1941-6.
20. Moon HJ, Kwak JY, Kim EK, Kim MJ. A taller-than-wide shape
in thyroid nodules in transverse and longitudinal ultrasonographic
Journal of the American College of Radiology 7
Grant et al n Thyroid Ultrasound Reporting Lexicon
8. planes and the prediction of malignancy. Thyroid 2011;21:
1249-53.
21. Moon HJ, Sung JM, Kim EK, Yoon JH, Youk JH, Kwak JY. Diag-
nostic performance of gray-scale US and elastography in solid thyroid
nodules. Radiology 2012;262:1002-13.
22. Kim HG, Moon HJ, Kwak JY, Kim EK. Diagnostic accuracy of the
ultrasonographic features for subcentimeter thyroid nodules suggested
by the revised American Thyroid Association guidelines. Thyroid
2013;23:1583-90.
23. Chen SP, Hu YP, Chen B. Taller-than-wide sign for predicting thyroid
microcarcinoma: comparison and combination of two ultrasono-
graphic planes. Ultrasound Med Biol 2014;40:2004-11.
24. Harach HR, Franssila KO, Wasenius VM. Occult papillary carcinoma
of the thyroid. A “normal” finding in Finland. A systematic autopsy
study. Cancer 1985;56:531-8.
25. Kamran SC, Marqusee E, Kim MI, et al. Thyroid nodule size and
prediction of cancer. J Clin Endocrinol Metab 2013;98:564-70.
26. Haugen BR, Alexander EK, Bible KC, et al. 2015 American
Thyroid Association management guidelines for patients with
thyroid nodules and differentiated thyroid cancer. Thyroid. In
press.
27. Chan BK, Desser TS, McDougall IR, et al. Common and uncommon
sonographic features of papillary thyroid carcinoma. J Ultrasound Med
2003;22:1083-90.
28. Kim EK, Park CS, Chung WY, et al. New sonographic criteria for
recommending fine-needle aspiration biopsy of nonpalpable solid
nodules of the thyroid. AJR Am J Roentgenol 2002;178:687-91.
29. Hoang JK, Lee WK, Lee M, et al. US features of thyroid malignancy:
pearls and pitfalls. Radiographics 2007;27:847-60.
30. Miofo B, Takoeto EO, Tambe J, Blanc F, Fotsin JG. Reliability of
Thyroid Imaging Reporting and Data System (TIRADS) classification
in differentiating benign from malignant thyroid nodules. Open J
Radiol 2013;3:103-7.
31. Iannuccilli JD, Cronan JJ, Monchik JM. Risk of malignancy as
assessed by sonographic criteria: the need for biopsy. J Ultrasound Med
2004;23:1455-64.
32. Ahuja A, Chick W, King W, Metreweli C. Clinical significance of the
comet-tail artifact in thyroid ultrasound. J Clinical Ultrasound
1996;24:129-33.
33. Beland MD, Kwon L, Delellis RA, Cronan JJ, Grant EG. Non-
shadowing echogenic foci in thyroid nodules are certain appearances
enough to avoid thyroid biopsy? J Ultrasound Med 2011;30:753-60.
8 Journal of the American College of Radiology
Volume - n Number - n Month 2015