This document summarizes a study that evaluated imaging and histopathologic differences between benign and malignant breast lesions initially assessed as BI-RADS category 3 (probably benign) but later upgraded during imaging surveillance. Of the 1,017 lesions initially assessed as BI-RADS 3, 60 (5.9%) were upgraded after a mean follow-up of 54.1 months. Fifteen of the 60 upgraded lesions (25%) proved to be malignant. There was no significant difference in malignancy rates between different types of upgraded lesions (masses, asymmetries, calcifications). While calcifications made up most upgraded lesions, most proved benign, suggesting decreased surveillance of calcifications may be appropriate.
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.
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.
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).
Central Adiposity and Mortality after First-Ever Acute Ischemic StrokeErwin Chiquete, MD, PhD
Erwin Chiquete a José L. Ruiz-Sandoval c Luis Murillo-Bonilla e
Carolina León-Jiménez g Bertha Ruiz-Madrigal d, f Erika Martínez-López d, f
Sonia Román d, f Arturo Panduro d, f Alma Ramos b Carlos Cantú-Brito
Background: The waist-to-height ratio (WHtR) may be a better
adiposity measure than the body mass index (BMI). We
evaluated the prognostic performance of WHtR in patients
with acute ischemic stroke (AIS). Methods: First, we compared
WHtR and BMI as adiposity measures in 712 healthy
adults by tetrapolar bioimpedance analysis. Thereafter,
baseline WHtR was analyzed as predictor of 12-month allcause
mortality in 821 Mexican mestizo adults with first-ever
AIS by a Cox proportional hazards model adjusted for baseline
predictors. Results: In healthy individuals, WHtR correlated
higher than BMI with total fat mass and showed a higher
accuracy in identifying a high percentage of body fat (p <
0.01). In AIS patients a U-shaped relationship was observed
between baseline WHtR and mortality (fatality rate 29.1%).
On multivariate analysis, baseline WHtR ≤ 0.300 or >0.800 independently
predicted 12-month all-cause mortality (h
Development and Validation of a Nomogram for Predicting Response to Neoadjuva...semualkaira
Retrospective analysis of clinical data on female patients with breast cancer was performed. Model 1 was developed by entering variables from the univariate analysis (P < 0.1) into a multivariate logistic regression analysis. Model 2 was developed via the stepwise forward-backward variable selection technique in partial least squares regression. For model 3, the least absolute shrinkage and selection operator (LASSO) method was used to choose suitable variables, followed by the multivariate logistic regression analysis.
Development and Validation of a Nomogram for Predicting Response to Neoadjuva...semualkaira
Retrospective analysis of clinical data on female
patients with breast cancer was performed. Model 1 was developed by entering variables from the univariate analysis (P < 0.1)
into a multivariate logistic regression analysis. Model 2 was developed via the stepwise forward-backward variable selection technique in partial least squares regression. For model 3, the least
absolute shrinkage and selection operator (LASSO) method was
used to choose suitable variables, followed by the multivariate
logistic regression analysis. Harrell’s C-index, calibration curves,
and decision curve analyses (DCA) were used to compare the
performance of the models. In the validation cohort, these results
were validated
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).
Central Adiposity and Mortality after First-Ever Acute Ischemic StrokeErwin Chiquete, MD, PhD
Erwin Chiquete a José L. Ruiz-Sandoval c Luis Murillo-Bonilla e
Carolina León-Jiménez g Bertha Ruiz-Madrigal d, f Erika Martínez-López d, f
Sonia Román d, f Arturo Panduro d, f Alma Ramos b Carlos Cantú-Brito
Background: The waist-to-height ratio (WHtR) may be a better
adiposity measure than the body mass index (BMI). We
evaluated the prognostic performance of WHtR in patients
with acute ischemic stroke (AIS). Methods: First, we compared
WHtR and BMI as adiposity measures in 712 healthy
adults by tetrapolar bioimpedance analysis. Thereafter,
baseline WHtR was analyzed as predictor of 12-month allcause
mortality in 821 Mexican mestizo adults with first-ever
AIS by a Cox proportional hazards model adjusted for baseline
predictors. Results: In healthy individuals, WHtR correlated
higher than BMI with total fat mass and showed a higher
accuracy in identifying a high percentage of body fat (p <
0.01). In AIS patients a U-shaped relationship was observed
between baseline WHtR and mortality (fatality rate 29.1%).
On multivariate analysis, baseline WHtR ≤ 0.300 or >0.800 independently
predicted 12-month all-cause mortality (h
Development and Validation of a Nomogram for Predicting Response to Neoadjuva...semualkaira
Retrospective analysis of clinical data on female patients with breast cancer was performed. Model 1 was developed by entering variables from the univariate analysis (P < 0.1) into a multivariate logistic regression analysis. Model 2 was developed via the stepwise forward-backward variable selection technique in partial least squares regression. For model 3, the least absolute shrinkage and selection operator (LASSO) method was used to choose suitable variables, followed by the multivariate logistic regression analysis.
Development and Validation of a Nomogram for Predicting Response to Neoadjuva...semualkaira
Retrospective analysis of clinical data on female
patients with breast cancer was performed. Model 1 was developed by entering variables from the univariate analysis (P < 0.1)
into a multivariate logistic regression analysis. Model 2 was developed via the stepwise forward-backward variable selection technique in partial least squares regression. For model 3, the least
absolute shrinkage and selection operator (LASSO) method was
used to choose suitable variables, followed by the multivariate
logistic regression analysis. Harrell’s C-index, calibration curves,
and decision curve analyses (DCA) were used to compare the
performance of the models. In the validation cohort, these results
were validated
Toward Integrated Clinical and Gene Expression Profiles for Breast Cancer Pro...CSCJournals
Breast cancer patients with the same diagnostic and clinical prognostic profile can have markedly different clinical outcome. This difference is possibly caused by the limitation of current breast cancer prognostic indices, which group molecularly distinct patients into similar clinical classes based mainly on morphological of disease. Traditional clinical based prognosis models were discovered contain some restriction to address the heterogeneity of breast cancer. The invention of microarray technology and its ability to simultaneously interrogate thousands genes has changed the paradigm of molecular classification of human cancers as well as it shifted clinical prognosis model to broader prospect. Numerous studies have revealed the potential value of gene expression signatures in examining the risk of disease recurrence. However, currently most of these studies attempted to implement genetic marker based prognostic models to replace the traditional clinical markers, yet neglecting the rich information contain in clinical information. Therefore, this research took an effort to integrate both clinical and microarray data in order to obtain accurate breast cancer prognosis, by taking into account that these data complements each other. This article presents a review of the development of breast cancer prognosis models, concentrating precisely on clinical and gene expression profiles. The literature is reviewed in an explicit machine learning framework, which include the elements of feature selection and classification techniques.
Original StudyType of Breast Cancer Diagnosis, Screening,a.docxvannagoforth
Original Study
Type of Breast Cancer Diagnosis, Screening,
and Survival
Carla Cedolini,1 Serena Bertozzi,1 Ambrogio P. Londero,2 Sergio Bernardi,3,4
Luca Seriau,1 Serena Concina,1 Federico Cattin,1 Andrea Risaliti1
Abstract
Organized, invitational breast cancer screening in our population succeeded in detecting early-stage tumors,
which have been consequently treated more frequently with breast and axillary conservative surgery, com-
plementary breast irradiation, and eventual hormonal therapy. The diagnosis of invasive cancer with screening
in our population resulted in a survival gain at 5 years from the diagnosis.
Introduction: Breast cancer screening is known to reduce mortality. In the present study, we analyzed the prevalence
of breast cancers detected through screening, before and after introduction of an organized screening, and we
evaluated the overall survival of these patients in comparison with women with an extrascreening imaging-detected
breast cancer or those with palpable breast cancers. Materials and Methods: We collected data about all women
who underwent a breast operation for cancer in our department between 2001 and 2008, focusing on type of tumor
diagnosis, tumor characteristics, therapies administered, and patient outcome in terms of overall survival, and re-
currences. Data was analyzed by R (version 2.15.2), and P < .05 was considered significant. Results: Among the 2070
cases of invasive breast cancer we considered, 157 were detected by regional mammographic screening (group A),
843 by extrascreening breast imaging (group B: 507 by mammography and 336 by ultrasound), and 1070 by extra-
screening breast objective examination (group C). The 5-year overall survival in groups A, B, and C were, respectively,
99% (95% CI, 98%-100%), 98% (95% CI, 97%-99%), and 91% (95% CI, 90%-93%), with a significant difference
between the first 2 groups and the third (P < .05) and a trend between groups A and B (P ¼ .081). Conclusion: The
diagnosis of invasive breast cancer with screening in our population resulted in a survival gain at 5 years from the
diagnosis, but a longer follow-up is necessary to confirm this data.
Clinical Breast Cancer, Vol. 14, No. 4, 235-40 ª 2014 Elsevier Inc. All rights reserved.
Keywords: Breast cancer, Breast cancer screening, Invasive breast cancer, Mammographic screening, Overall survival
Introduction
Because of the detection of early-stage tumors, breast cancer
screening reduced breast cancer mortality in Europe by 25%-31%
in patients who were invited for screening and by 38%-48% in
those who were actually screened during the last decade of the
twentieth century and the first decade of the twenty-first.1 In our
region of Italy, an organized breast cancer screening was firstly intro-
duced in 2005, but despite the high compliance of invited women
1Clinic of Surgery
2Clinic of Obstetrics and Gynecology
University of Udine, Udine, Italy
3Department of Surgery, Ospedale Civile di Latisana, Udine, Italy
4 ...
Secondary Malignancy after Treatment of Prostate Cancer. Radical Prostatectom...asclepiuspdfs
Background: This study aims to determine whether the treatment of locally confined prostate cancer (PCa) with external radiotherapy (EBRT) increases the risk to develop secondary malignancies (SM) compared to radical prostatectomy (RPE). Materials and Methods: Data from patients who were treated curatively with RPE or EBRT from 2010 to 2018 and who did not have distant metastases, previous malignancy, or previous treatment with radiotherapy or chemotherapy at the time of diagnosis were reviewed to determine the incidence of SM over a median follow-up period of 47 months (range 12–96 months). Regression models were used to correlate the clinicopathological factors with the incidence of SM.
The Appendicitis Inflammatory Response Score: A Tool for the
Diagnosis of Acute Appendicitis that Outperforms the Alvarado
Score
Manne Andersson Æ Roland E. Andersson
The Alvarado score for predicting acute
appendicitis: a systematic review
Robert Ohle†
, Fran O’Reilly†
, Kirsty K O’Brien, Tom Fahey and Borislav D Dimitrov
Factory Supply Best Quality Pmk Oil CAS 28578–16–7 PMK Powder in Stockrebeccabio
Factory Supply Best Quality Pmk Oil CAS 28578–16–7 PMK Powder in Stock
Telegram: bmksupplier
signal: +85264872720
threema: TUD4A6YC
You can contact me on Telegram or Threema
Communicate promptly and reply
Free of customs clearance, Double Clearance 100% pass delivery to USA, Canada, Spain, Germany, Netherland, Poland, Italy, Sweden, UK, Czech Republic, Australia, Mexico, Russia, Ukraine, Kazakhstan.Door to door service
Hot Selling Organic intermediates
- 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
MANAGEMENT OF ATRIOVENTRICULAR CONDUCTION BLOCK.pdfJim Jacob Roy
Cardiac conduction defects can occur due to various causes.
Atrioventricular conduction blocks ( AV blocks ) are classified into 3 types.
This document describes the acute management of AV block.
Prix Galien International 2024 Forum ProgramLevi Shapiro
June 20, 2024, Prix Galien International and Jerusalem Ethics Forum in ROME. Detailed agenda including panels:
- ADVANCES IN CARDIOLOGY: A NEW PARADIGM IS COMING
- WOMEN’S HEALTH: FERTILITY PRESERVATION
- WHAT’S NEW IN THE TREATMENT OF INFECTIOUS,
ONCOLOGICAL AND INFLAMMATORY SKIN DISEASES?
- ARTIFICIAL INTELLIGENCE AND ETHICS
- GENE THERAPY
- BEYOND BORDERS: GLOBAL INITIATIVES FOR DEMOCRATIZING LIFE SCIENCE TECHNOLOGIES AND PROMOTING ACCESS TO HEALTHCARE
- ETHICAL CHALLENGES IN LIFE SCIENCES
- Prix Galien International Awards Ceremony
HOT NEW PRODUCT! BIG SALES FAST SHIPPING NOW FROM CHINA!! EU KU DB BK substit...GL Anaacs
Contact us if you are interested:
Email / Skype : kefaya1771@gmail.com
Threema: PXHY5PDH
New BATCH Ku !!! MUCH IN DEMAND FAST SALE EVERY BATCH HAPPY GOOD EFFECT BIG BATCH !
Contact me on Threema or skype to start big business!!
Hot-sale products:
NEW HOT EUTYLONE WHITE CRYSTAL!!
5cl-adba precursor (semi finished )
5cl-adba raw materials
ADBB precursor (semi finished )
ADBB raw materials
APVP powder
5fadb/4f-adb
Jwh018 / Jwh210
Eutylone crystal
Protonitazene (hydrochloride) CAS: 119276-01-6
Flubrotizolam CAS: 57801-95-3
Metonitazene CAS: 14680-51-4
Payment terms: Western Union,MoneyGram,Bitcoin or USDT.
Deliver Time: Usually 7-15days
Shipping method: FedEx, TNT, DHL,UPS etc.Our deliveries are 100% safe, fast, reliable and discreet.
Samples will be sent for your evaluation!If you are interested in, please contact me, let's talk details.
We specializes in exporting high quality Research chemical, medical intermediate, Pharmaceutical chemicals and so on. Products are exported to USA, Canada, France, Korea, Japan,Russia, Southeast Asia and other countries.
Ozempic: Preoperative Management of Patients on GLP-1 Receptor Agonists Saeid Safari
Preoperative Management of Patients on GLP-1 Receptor Agonists like Ozempic and Semiglutide
ASA GUIDELINE
NYSORA Guideline
2 Case Reports of Gastric Ultrasound
Couples presenting to the infertility clinic- Do they really have infertility...Sujoy Dasgupta
Dr Sujoy Dasgupta presented the study on "Couples presenting to the infertility clinic- Do they really have infertility? – The unexplored stories of non-consummation" in the 13th Congress of the Asia Pacific Initiative on Reproduction (ASPIRE 2024) at Manila on 24 May, 2024.
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.
The prostate is an exocrine gland of the male mammalian reproductive system
It is a walnut-sized gland that forms part of the male reproductive system and is located in front of the rectum and just below the urinary bladder
Function is to store and secrete a clear, slightly alkaline fluid that constitutes 10-30% of the volume of the seminal fluid that along with the spermatozoa, constitutes semen
A healthy human prostate measures (4cm-vertical, by 3cm-horizontal, 2cm ant-post ).
It surrounds the urethra just below the urinary bladder. It has anterior, median, posterior and two lateral lobes
It’s work is regulated by androgens which are responsible for male sex characteristics
Generalised disease of the prostate due to hormonal derangement which leads to non malignant enlargement of the gland (increase in the number of epithelial cells and stromal tissue)to cause compression of the urethra leading to symptoms (LUTS
Anti ulcer drugs and their Advance pharmacology ||
Anti-ulcer drugs are medications used to prevent and treat ulcers in the stomach and upper part of the small intestine (duodenal ulcers). These ulcers are often caused by an imbalance between stomach acid and the mucosal lining, which protects the stomach lining.
||Scope: Overview of various classes of anti-ulcer drugs, their mechanisms of action, indications, side effects, and clinical considerations.
2. the above criteria still are categorized as “probably
benign.” Several papers have evaluated the appropri-
ate use of BI-RADS 3 and have found that most
lesions that were upgraded showed signs of interval
change at time of original probably benign assessment
and/or did not adhere to the morphologic criteria out-
lined above (9,10).
Some potential explanations for the disparity
between strict adherence to established criteria and
actual clinical practice include variations in individual
radiology practice and experience versus interpretive
error. For instance, the newest edition of the BI-RADS
atlas suggests that a “probably benign” interpretation
for other types of lesions may be appropriate “. . ..if the
radiologist has personal experience to justify a watch-
ful-waiting approach, preferably involving observation
of a sufficient number of cases of an additional mam-
mographic finding to suggest a likelihood of malignancy
within the defined (≤2%) probably benign range” (6).
Such lesions may have demonstrated change at the time
of initial BI-RADS 3 assessment and include vascular
calcifications, calcifications suggestive of early, evolving
fat necrosis in a patient postbiopsy, or findings thought
to be more visible due to technical reasons (11).
Appropriate use of BI-RADS 3 has thus generated
much debate. A review of types of lesions placed into
the BI-RADS 3 category, as well as the frequency of,
and histopathologic findings for, upgraded lesions can
potentially improve practice performance. As part of a
radiology quality assurance initiative, we performed a
retrospective evaluation of mammographic lesions ini-
tially assessed as BI-RADS 3, but upgraded to BI-
RADS 4 or 5 during imaging surveillance, in order to
determine if there are imaging or histopathologic dif-
ferences in mammographic appearance of benign ver-
sus malignant lesions.
MATERIALS AND METHODS
An IRB approved, retrospective review of our mam-
mography data base from January 1, 2004 to Decem-
ber 12, 2008, identified 1,188 (1.07%) of 110,776
screening examinations that received BI-RADS 3 assess-
ment following diagnostic evaluation: 2.28% (952/
41,743) at our ambulatory center and 0.34% (236/
69,033) at our main academic medical center. There
were 1,017 cases with at least 24 months follow-up or
biopsy. Among these, 1,017 cases were 60 lesions
(5.9%) that were upgraded to BI-RADS 4 or 5 during
imaging surveillance and subsequently underwent
breast biopsy, representing the study population. Mean
patient age was 54.1 years (range 35–85 years).
Mammograms were performed with digital tech-
nique on Senographe DS and Senographe Essential
equipment (GE Healthcare, Little Chalfont, Buckin-
ghamshire, UK). During this study period, mammo-
grams at the teaching hospital were interpreted by
dedicated breast-imaging specialists, and mammograms
at the ambulatory center were interpreted by non-
breast-imaging specialists. In both clinical settings,
ultrasound examinations were performed by the radiol-
ogist with a handheld high-resolution 5–12 MHz linear
transducer (iu22 machine; Philips, Bothell, WA).
In our practice, we did not place any lesions
directly from screening examination into the BI-RADS
3 category. Each case underwent diagnostic examina-
tion. Imaging criteria used for BI-RADS 3 assignment
were according to established criteria (6). Appropriate
BI-RADS 3 classifications included, (i) Noncalcified
circumscribed masses with round, oval or gently lobu-
lated shape; (ii) Clustered calcifications that were
round or oval on magnification images; (iii) Focal
asymmetries or one-view asymmetries; (iv) Coarse cal-
cifications suggestive of dystrophic calcifications; (v)
Miscellaneous findings such as suspected fat necrosis
or suspected biopsy change.
The longitudinal medical record was retrospectively
reviewed to determine patient age, lesion type, the
breast subspecialty status of the prospective interpret-
ing radiologist, and biopsy and clinical outcomes. Sta-
tistical analysis was performed using the Fisher’s exact
test with two-tailed p-value (www.graphpad.com).
RESULTS
Of all 1,017 lesions assessed as BI-RADS 3, 542
(53.3%) were calcifications, 269 (26.5%) were focal
asymmetries, 190 (18.7%) were masses, and 16
(1.6%) were miscellaneous findings. The 60 upgraded
lesions (study population) consisted of seven (11.7%)
masses, 12 (20.0%) focal asymmetries (FAD), and 41
(68.3%) calcifications.
Fifteen (25%) of 60 lesions upgraded from initial
BI-RADS 3 assessment were malignant (1.47% of
total; 15/1,017 BI-RADS 3 examinations). Of these
15 malignancies, 8 (53.3%) were calcifications, 4
(26.7%) were focal asymmetries, and 3 (20.0%) were
masses (Fig. 1). Final pathology showed that 4
(26.7%) of 15 lesions were ductal carcinoma in situ,
10 (66.7%) were stage 1 invasive cancers (8 N0 and 2
BI-RADS 3 Lesions Upgraded during Surveillance • 11
3. NX), and 1 (6.7%) case was a stage 2 invasive cancer
(N1a). Imaging and pathologic features are detailed in
Table 1. The remaining 45 (75%) of 60 upgraded
lesions were benign: 33 (73.3%) calcifications, 4
(8.9%) masses, and 8 (17.8%) focal asymmetries.
Benign histologic and imaging findings are detailed in
Table 2. The number of months to upgrade is also
outlined in these tables.
There was no significant difference in malignancy
rate according to type of upgraded lesion. Thirty-three
(73.3%) of 45 benign upgraded lesions were calcifica-
tions (Fig. 2), compared to 8 (53.3%) of 15 malignant
upgraded lesions (p = 0.202). 12 (26.7%) of 45
benign upgraded lesions were masses or focal asym-
metries, compared to 7 (46.7%) of 15 upgraded
malignant lesions (p = 0.202). All 12 benign focal
asymmetries and masses underwent US, 5 (41.7%)
with findings. All 7 of the malignant focal
asymmetries and masses underwent diagnostic US, 6
(85.7%) with negative findings (Fig. 3). There was no
significant difference in the likelihood of an US corre-
late in benign compared to malignant masses or focal
asymmetries (p = 0.33). The overall percentage of
malignant lesions among BI-RADS 3 lesions did not
vary significantly by lesion type: 8 (1.5%) of 542 cal-
cifications, 4 (1.5%) of 269 focal asymmetries, and 3
(1.6%) of 190 masses (p = 1.0).
Breast-imaging specialists interpreted 21 (35%) of
60 upgraded lesions, with 3 (14.3%) malignancies,
compared to general radiologists who interpreted 39
(65%) of 60 upgraded lesions with 12 (30.8%) malig-
nancies (p = 0.218). Both specialists and generalists
followed more calcifications as compared with focal
asymmetries/masses. Fifteen of 21 (71.4%) lesions fol-
lowed by specialists were calcifications (14 benign, 1
malignant). Twenty-six of 39 (66.7%) lesions fol-
lowed by generalists were calcifications (19 benign, 7
malignant). Six masses/focal asymmetries were fol-
lowed by breast specialists (4 benign, 2 malignant),
compared to 13 masses/focal asymmetries followed by
generalists (8 benign, 5 malignant). The mean interval
time between BI-RADS 3 diagnosis and subsequent
biopsy recommendation was 12 months (range 6–
24 months). For benign upgrades, the mean interval
time was 12.2 months, and for malignant upgrades,
11.2 months. Five (33.3%) of 15 malignancies were
upgraded and subsequently biopsied at the 6-month
exam; an additional 6 (40.0%) were diagnosed at
12 months.
Figure 1. Percentage of malignant calcifications, masses, and
focal asymmetric densities.
Table 1. Imaging and Histopathologic Features of Malignant BI-RADS 3 Upgrades
Lesion type Pathologic size Prospective description US findings Histopathologic findings
Time to diagnosis
(months) Stage
Mass 0.6 cm Circumscribed Negative IDC, well differentiated 18 1A
Mass 1.1 cm Negative IDC, poorly differentiated 6 1A
Mass 1.2 cm Fat containing, oval IDC, moderately differentiated 6 1A
Mass 1.4 cm Oval, “probable fat necrosis” IDC/ILC, moderately differentiated 12 1A
Focal asymmetry 0.2 cm Negative IDC, moderately differentiated 12 1A
Focal asymmetry 1.4 cm Negative IDC, moderately differentiated 24 2A
Focal asymmetry Negative DCIS, low grade 12 0
Calcifications Scattered, some appear vascular DCIS, high grade 6 0
Calcifications 0.6 cm Punctate IDC, moderately differentiated 12 1A
Calcifications Microinvasion Coarse DCIS, high grade, microinvasion 6 1A
Calcifications Punctate DCIS, high grade 6 0
Calcifications 0.9 cm Punctate IDC, moderately differentiated 12 1A
Calcifications 1.0 cm Grouped, probably vascular IDC, moderately differentiated 24 1A
Calcifications 1.0 cm Scattered coarse, round, punctate IDC, poorly differentiated 12 1A
Calcifications Scattered, heterogeneous,
punctate, round
DCIS, high grade 24 0
Size given only for invasive malignancy.
IDC, invasive ductal cancer; DCIS, ductal carcinoma in situ; ILC, invasive lobular carcinoma.
12 • michaels et al.
4. DISCUSSION
Although the percentage of lesions given a BI-
RADS 3 assessment varies by practice (12–15), it
should be small, given widespread mammographic
screening and the prevalence of prior studies. Our
percentage of probably benign lesions within a general
screening population (1.07%) was somewhat lower
than the previously reported range of 2–11% (1–
4,9,12,13). This may be because our institution is a
large breast-imaging center with a minority of our
Table 2. Imaging and Histologic Features of Benign BI-RADS 3 Upgrades
Lesion type Prospective description US finding Time to biopsy Histologic findings
Mass Round, oval Negative 12 FA
Mass Round/oval, obscured “Possible lymph
node versus cyst”
6 Cyst
Mass Round/oval with
obscured margins.
Few cysts 9 Sclerosing adenosis, epithelial hyperplasia
Mass Round/oval, circumscribed Negative 12 Interlobular fibrosis, LCIS, PASH
Focal Asymmetry Negative 6 Radial sclerosing lesion, epithelial
hyperplasia, adenosis with CCC
Focal asymmetry Negative 24 FA
Focal asymmetry Negative 24 Benign breast tissue
Focal asymmetry Negative 24 FA
Focal asymmetry Negative 6 FA, apocrine cysts
Focal asymmetry Cyst with internal echoes 6 Benign cyst
Focal asymmetry Complicated cyst
with thick wall
6 Benign cyst
Focal asymmetry Complicated cyst 12 Apocrine cysts
Calcification Punctate, round 18 Benign (per outside hospital report)
Calcification Punctate, round.
Diffuse/scattered distribution
6 Benign breast epithelium
Calcification Punctate, round 6 FA
Calcification Coarse, clustered/grouped 6 FA
Calcification “Faint,” clustered/grouped 6 Apocrine cysts
Calcification Amorphous/indistinct, grouped 12 Normal breast tissue
Calcification Punctate, round, grouped 12 ADH
Calcification Punctate, round, grouped 6 CCC
Calcification Punctate, round, grouped 22 Apocrine cysts
Calcification Coarse, grouped 9 Sclerosing papilloma
Calcification Punctate, round 15 Benign breast tissue, CCC
Calcification Amorphous, grouped 6 Papilloma, cysts
Calcification Amorphous, grouped 6 Cysts, CCC, Epithelial hyperplasia,
sclerosing adenosis, PASH
Calcification Coarse 6 Fibrous breast tissue with stromal Ca++
Calcification Amorphous, grouped 6 Apocrine cysts with calcium oxalate
Calcification “probable MOC,” grouped 12 Apocrine cysts, CCC, papillary hyperplasia
Calcification Punctate, round, grouped 12 ALH
Calcification Coarse, grouped 6 FA
Calcification Coarse 6 ADH
Calcification Punctate, round, grouped 24 Columnar altered hyperplastic duct
Calcification Punctate, round. “Probably
vascular”
6 Adenosis with mucin
Calcification “Likely MOC” 18 Benign breast tissue
Calcification Coarse, heterogeneous, grouped 6 Benign breast tissue, cysts
Calcification Punctate, round. Likely MOC 18 Benign breast tissue
Calcification Likely MOC 24 Interlobular fibrosis, fibromatoid
change, apocrine metaplasia,
sclerosing adenosis, cysts
Calcification Punctate, round 6 FA with stromal Ca++
Calcification Amorphous, coarse and punctate 24 ADH
Calcification Amorphous, indistinct, grouped 6 Benign epithelium, focal epithelial hyperplasia
Calcification Amorphous, indistinct 12 ADH
Calcification Punctate, round. In multiple groups 6 ALH, CCC, cysts, sclerosing adenosis
Calcification Punctate, round, grouped 6 Adenosis with secretory changes
and psammoma bodies
Calcification Punctate, round 18 Apocrine cysts, adenosis, FA
Calcification Punctate, round, grouped 18 Normal breast tissue, CCC
FA, fibroadenoma; CCC, columnar cell changes; MOC, milk of calcium; ADH, atypical ductal hyperplasia; PASH, pseudoangiomatous stromal hyperplasia; ALH, atypical lobar hyper-
plasia; LCIS, lobar carcinoma in situ.
BI-RADS 3 Lesions Upgraded during Surveillance • 13
5. patients presenting as a baseline or from other imag-
ing centers. Most patients who present for screening
had multiple prior studies available in our system for
comparison. Thus, low BI-RADS 3 usage was not
unexpected.
Compliance with follow-up mammographic imaging
is an important consideration when assigning BI-RADS
3, although this is not the primary focus of this manu-
script. The issue of compliance in the BI-RADS 3 cohort
is discussed further in another paper from our institu-
tion (11). In summary, compliance rates for follow-up
in patients assigned to BI-RADS 3 decreased over time.
At 6, 12, 18, and 24 months, compliance rates were
83.3%, 75.9%, 54.8%, and 53.9%, respectively.
In addition, although BI-RADS 3 lesions overall
should have a less than 2% chance of malignancy (1–
4,6), there are no practice benchmarks for the percent-
age of BI-RADS 3 cases upgraded during surveillance
and the subsequent malignancy rate. Review of a
practice’s upgraded BI-RADS 3 lesions may yield valu-
able lessons on practice performance, and can be a valu-
able quality assurance initiative. In our study interval,
1.07% of screen-detected cases were assigned BI-RADS
3 after diagnostic evaluation. The total percentage of BI-
RADS 3 cases that proved malignant was 1.47%, nearly
three times higher compared to the National Cancer
Institute’s 0.43% cancer detection rate of all screening
exams from the same 5-year time period (16). After the
assignment of a BI-RADS 3 category, 5.9% of BI-RADS
3 lesions were upgraded to B4 or B5 during surveillance.
This is within others’ reported ranges of 0.9–7.9% (1–
4). Our malignancy rate for upgraded lesions was 25%,
compared to published malignancy rates in BI-RADS 3
upgrades ranging from 10% to 56% (1–4).
Overall, there was no significant difference in the
malignancy rate according to lesion type placed into
the BI-RADS 3 category. However, masses and focal
asymmetries may be considered potentially more signifi-
cant than calcifications, since most often malignant focal
asymmetries and masses represent invasive malignancies
rather than in situ malignancies. Of interest, many
benign and malignant focal asymmetries and masses ini-
tially assessed as probably benign had no US correlate,
and the lack of an ultrasound correlate had no predictive
value for malignancy. It is important to note that even if
the ultrasound examination is normal, the image modal-
ity depicting the most suspicious-looking feature should
be used to make the final assessment (13,17).
In this study, calcifications comprised more than
half of all BI-RADS 3 lesions, and also the majority of
(a) (b)
Figure 2. A 85-year-old female with calcified fibroadenoma. (a) “Punctate and round calcifications” under magnification view given a BI-
RADS 3 assessment. (b) At 6 months, heterogeneous calcifications had increased and lesion was upgraded to BI-RADS 4.
Figure 3. A 68-year-old female with intraductal carcinoma. Patient
presented with solitary oval mass on screening mammogram.
Ultrasound exam was negative. BI-RADS 3 was assigned. At 6-
month follow-up exam, ultrasound exam was positive (not shown).
Mass was upgraded to BI-RADS 4.
14 • michaels et al.
6. upgraded lesions. However, most were benign on
biopsy. This finding is in agreement with previous
studies (1,2,4). In Sickles’ study (1), 38.8% of BI-
RADS 3 lesions were calcifications, but only one
(0.1%) proved to be malignant. In Vizcaino’s study
(4), 59% of BI-RADS 3 lesions were calcifications,
and only one was malignant. Similarly, in the series of
Helvie et al. (2), 52% of BI-RADS 3 lesions were cal-
cifications, and none proved malignant. A large study
conducted by Varas et al. (7), reported different find-
ings; in that study, calcifications made up a smaller
percentage of BI-RADS 3 lesions (19%) but had a
greater likelihood of malignancy (3.8%) compared to
masses (1.4%) or focal asymmetries (1.9%). These
differing findings presumably represent variable prac-
tice settings.
There has been extensive debate recently surround-
ing the possibility of mammographic over-diagnosis of
breast cancer, particularly ductal carcinoma in situ,
which is predominantly a mammographically detected
lesion (18–20). Some authors have attempted to deter-
mine predictors for high-grade in situ disease or con-
current invasive disease in malignant calcifications
based on various imaging parameters, with variable
results (21–23). The calcifications in these studies were
of suspicious morphology. Reassessing grouped, punc-
tate or round calcifications as benign rather than
probably benign may be an area for improving BI-
RADS 3 utilization with minimal loss of cancer detec-
tion, because multiple studies, including ours, have
shown a very low malignancy rate for these types of
lesions. In the opinion of one author (24), “. . .clus-
tered calcifications must be categorized when found.
Either they appear benign and the patient can continue
routine annual screening, or they appear indeterminate
or malignant, in which case intervention is indicated.”
While this opinion may represent one extreme, perhaps
such lesions can be followed by annual screening mam-
mograms as a better understanding of the natural his-
tory of these lesions evolves.
In a recent opinion piece (25) on improving screen-
ing mammography performance in the USA, Hall sug-
gested ceasing recall and biopsy of low suspicion,
nonsegmental, amorphous calcifications, arguing that
when not benign, such calcifications usually represent
atypia or low-grade malignant disease, usually change
slowly (thereby detectable on subsequent screenings),
and do not usually dedifferentiate into higher grade
lesions. An analysis of calcifications placed into fol-
low-up but with benign outcomes could yield valuable
information useful for decreasing unnecessary surveil-
lance of calcifications, and may improve practice
specificity. This is an area of future study for our
practice.
In our study, breast-imaging specialists had lower
malignancy upgrade rates than nonbreast-imaging spe-
cialists, although the difference was not statistically
significant. Other studies (20,21) similarly have
demonstrated more accurate performance by breast-
imaging specialists in screening and diagnostic mam-
mography compared to nonbreast-imaging specialists.
The volume of cases interpreted, interpretation of
both screening and diagnostic mammography, and
review of case outcomes are all important factors in
improving performance accuracy for radiologists,
whether they are breast specialists or have a more
general radiology practice.
Our study had some limitations. Because our study
was retrospective, the rationale for BI-RADS 3 assess-
ment was not always apparent from the prospective
report. Differences in interpretation among radiolo-
gists can yield differences in BI-RADS assessment and
management. However, this study was not done to
evaluate observer variability in BI-RADS 3 assessment,
but to determine frequency and outcomes of upgrade,
and evaluate any imaging differences among upgraded
lesions. Because upgraded lesions should comprise a
small minority of lesions assessed as BI-RADS 3, our
series is relatively small. The small sample size in our
series limits statistical analysis of the malignancy rate
among different types of mammographic lesions.
In conclusion, practice benchmarks for BI-RADS 3
upgrade rates and malignancy rates in upgraded
lesions are not well established, and our audit data
adds to the existing literature on these characteristics
of BI-RADS 3 mammography practice. More data
from other radiology groups would be helpful to
determine an optimal target range for these practice
measures. Traditionally, interval change precluded
lesions from being categorized as “probably benign,”
and imaging change is an important but nonspecific
feature of malignancy. Yet, change or increased con-
spicuity may sometimes be balanced against morphol-
ogy and clinical experience in lesion assessment and
management. Evaluation of a practice’s upgraded BI-
RADS 3 lesions, both benign and malignant, can
improve practice performance. Decreasing surveillance
of probably benign calcifications could decrease the
number of benign cases placed into short-term imag-
ing surveillance and decrease benign biopsies.
BI-RADS 3 Lesions Upgraded during Surveillance • 15
7. DISCLOSURE
No disclosures from any of the authors.
REFERENCES
1. Sickles EA. Periodic mammographic follow-up of probably
benign lesions: results in 3,184 consecutive cases. Radiology
1991;179:463–8.
2. Helvie MA, Pennes DR, Rebner M, Adler DD. Mammo-
graphic follow-up of low-suspicion lesions: compliance rate and
diagnostic yield. Radiology 1991;178:155–8.
3. Varas X, Leborgne F, Leborgne JH. Nonpalpable, probably
benign lesions: role of follow-up mammography. Radiology
1992;184:409–14.
4. Vizcaıno I, Gadea L, Andreo L, et al. Short-term follow-up
results in 795 nonpalpable probably benign lesions detected at
screening mammography. Radiology 2001;219:475–83.
5. Leung J, Sickles EA. The probably benign assessment. Radiol
Clin North Am 2007;45:773–89.
6. D’Orsi CJ, Sickles EA, Mendelson EB, et al. ACR BI-RADSâ
Atlas, Breast Imaging Reporting and Data System. Reston, VA:
American College of Radiology, 2013.
7. Varas X, Leborgne JH, Leborgne F, Mezzera J, Jaumandreu
S, Leborgne F. Revisiting the follow-up for BI-RADS category 3
lesions. AJR 2002;179:691–5.
8. Cyrlak D. Induced costs of low-cost screening mammography.
Radiology 1988;168:661–3.
9. Rosen EL, Baker JA, Soo MS. Malignant lesions initially sub-
jected to short-term mammographic follow-up. Radiology
2002;223:221–8.
10. Lehman CD, Rutter CM, Eby PR, White E, Buist DS, Taplin
SH. Lesion and patient characteristics associated with malignancy
after a probably benign finding on community practice mammogra-
phy. Am J Roentgenol 2008;190:511–5.
11. Chung CS, Giess CS, Gombos EC, et al. Patient compliance
and diagnostic yield of 18-month unilateral follow-up in surveillance
of probably benign mammographic lesions. Am J Roentgenol
2014;202:922–7.
12. Baum JK, Hanna LG, Acharyya S, et al. Use of BI-RADS 3-
probably benign category in the American College of Radiology
Imaging Network Digital Mammographic Imaging Screening Trial.
Radiology 2011;260:61–7.
13. Yameen S, Romano PS, Pettinger M, et al. Frequency and
predictive value of a mammographic recommendation for short-
interval follow-up. J Natl Cancer Inst 2003;95:429–36.
14. Kerlikowske K, Smith-Bindman R, Abraham LA, et al.
Breast cancer yield for screening mammographic examinations with
recommendation for short-interval follow-up. Radiology
2005;234:684–92.
15. Monticciolo DL, Caplan LS. The American College of Radi-
ology’s BI-RADS 3 classification in a nationwide screening program:
current assessment and comparison with earlier use. Breast J
2004;10:106–10.
16. NCI-funded Breast Cancer Surveillance Consortium
(HHSN261201100031C). Breast Cancer Surveillance Consortium.
Available at: http://breastscreening.cancer.gov/statistics/benchmarks/
screening/2009/table 4.html (accessed 10/11/15).
17. Boyer B, Canale S, Arfi-Rouche J, Monzani Q, Khaled W,
Balleyguier C. Variability and errors when applying the BIRADS
mammography classification. Eur J Radiol 2013;82:388–97.
18. Coldman A, Phillips N. Incidence of breast cancer and esti-
mates of overdiagnosis after the initiation of a population-based
mammography screening program. CMAJ 2013;185:492–8.
19. Bleyer A, Welch G. Effect of three decades of screening
mammography on breast-cancer incidence. NEJM 2012;367:1998–
2012.
20. Kopans DB, Webb ML, Cady B. The 20-year effort to reduce
access to mammography screening. Cancer 2014;120:2792–9.
21. Stomper PC, Geradts J, Edge SB, Levine EG. Mammo-
graphic predictors of the presence and size of invasive carcinomas
associated with malignant microcalcification lesions without a mass.
AJR 2003;181:1679–84.
22. Hofvind S, Iversen BF, Eriksen L, et al. Mammographic
morphology and distribution of calcifications in ductal carcinoma
in situ diagnosed in organized screening. Acta Rad 2011;52:481–7.
23. Slanetz PJ, Giardino AA, Oyama T, et al. Mammographic
appearance of ductal carcinoma in situ does not reliably predict his-
tologic subtype. Breast 2001;7:417–21.
24. Rubin E. Six-month follow-up: an alternate view. Radiology
1999;213:15–8.
25. Hall FM. Screening mammography guidelines: an alternative
proactive approach. Radiology 2014;273:646–51.
16 • michaels et al.