ROLE OF ULTRASOUND FINDINGS AND HISTOPATHOLOGICAL DATA FROM ULTRASOUND GUIDED TRUCUT BIOPSY IN DIAGNOSIS OF SUSPICIOUS BREAST MASSES

Document Type : Original Article

Authors

1 Departments of Radio diagnosis, Faculty of Medicine, Al-Azhar University

2 Departments of Pathology, Faculty of Medicine, Al-Azhar University

Abstract

Background: Breast ultrasound being the first tool in diagnosis of suspicious breast masses especially in combination with mammographic study.
Objective: To assess the diagnostic value of the ultrasound of suspicious breast masses by correlation of the ultrasound findings with those obtained from the histopathological data resulting from U/S guided Tru Cut biopsy.
Patients and methods: The study was carried out at the Department of Radio diagnosis, Al-HussienUniversityHospital - Cairo. The study was carried out during the period between December 2020 and June 2021. A total of 40 cases in which US revealed suspicious breast masses, all of those patients agreed to undergo tru-cut biopsy after ultrasound examination. The samples were sent for histopathological assessment to confirm the results of the ultrasound.
Results: Our results yielded a high sensitivity of 100% with 60% specificity, and a PPV and NPV, of 94.6%, 100% respectively with 95% accuracy.
Conclusion: Our study revealed that Tru-cut biopsy was an accurate diagnostic tool of suspicious breast masses with a high diagnostic accuracy of 95 % as it supplied enough tissue for pathologists to establish a correct histological assessment. So, it is a preferable procedure for the diagnosis of breast lesions prior to operation rendering to its low cost, high accuracy, minimal complications, safe and short time procedure.

Keywords

Main Subjects


ROLE OF ULTRASOUND FINDINGS AND HISTOPATHOLOGICAL DATA FROM ULTRASOUND GUIDED TRUCUT BIOPSY IN DIAGNOSIS OF SUSPICIOUS BREAST MASSES

By

Mahmoud Mohamed Ahmed Abd El-Aleem, Mahmoud Kadry El-Gendy, Mohamed Salah El-Din Abd El-Baky and Osama Mostafa Mostafa

Departments of Radio diagnosis and Pathology, Faculty of Medicine, Al-AzharUniversity

Corresponding author: Mahmoud Mohamed Ahmed Abd El-Aleem,

Mobile: (+20)01006401417, E-mail: drmahmoud184@gmail.com

ABSTRACT

Background: Breast ultrasound being the first tool in diagnosis of suspicious breast masses especially in combination with mammographic study.

Objective: To assess the diagnostic value of the ultrasound of suspicious breast masses by correlation of the ultrasound findings with those obtained from the histopathological data resulting from U/S guided Tru Cut biopsy.

Patients and methods: The study was carried out at the Department of Radio diagnosis, Al-HussienUniversityHospital - Cairo. The study was carried out during the period between December 2020 and June 2021. A total of 40 cases in which US revealed suspicious breast masses, all of those patients agreed to undergo tru-cut biopsy after ultrasound examination. The samples were sent for histopathological assessment to confirm the results of the ultrasound.

Results: Our results yielded a high sensitivity of 100% with 60% specificity, and a PPV and NPV, of 94.6%, 100% respectively with 95% accuracy.

Conclusion: Our study revealed that Tru-cut biopsy was an accurate diagnostic tool of suspicious breast masses with a high diagnostic accuracy of 95 % as it supplied enough tissue for pathologists to establish a correct histological assessment. So, it is a preferable procedure for the diagnosis of breast lesions prior to operation rendering to its low cost, high accuracy, minimal complications, safe and short time procedure.

Keywords: Suspicious breast masses, Ultrasound, U/S guided Tru cut biopsy, histopathological assessment.

 

 

INTRODUCTION

     The incidence of breast cancer worldwide is increasing. However, with the advent of regular screening, more women are being diagnosed with early-stage disease. With the improved understanding of the heterogeneity of the molecular subtypes of cancer and thus development of more sophisticated treatment, breast cancer mortality continues to decrease (Rojas and Stuckey, 2016).

     Detection of breast nodules for diagnosing cancer precursor lesions before clinical manifestations is essential, considering its early discovery allows a less aggressive treatment and yet more effective for these diseases. Imaging studies have greatly aided in the detection of non-palpable breast lesions, with emphasis on mammography, which identifies micro-calcifications, asymmetries and nodules, and on mammary ultrasonography (US), which is the most commonly used complementary method to characterize mammographic findings or to assist in the investigation of dense breasts. The identification of lesions suspicious of malignancy determines the need of cytological or histopathological evaluation through a minimally invasive procedure, whose arsenal consists basically of fine needle aspiration (FNAB) or core-biopsy (Silva et al., 2017).

     However, early detection requires an accurate and reliable diagnosis which should also be able to distinguish benign and malignant tumors. A good detection approach should produce both low false positive (FP) rate and false negative (FN) rate (Huang et al., 2017).

     US intervention has become a primary tool in the diagnostic workup of breast lesions. These interventions are safe, effective, and accurate owing to the lack of ionizing radiation and dynamic visualization capabilities (Reisenauer et al., 2017).

     Lumps or focal lesions in the breast detected by physical examination, mammography, or other imaging studies are subjected to US guided biopsy to differentiate between benign, malignant or grey zone lesions. A breast biopsy is performed to remove a thin core tissue from a suspicious area in the breast and give for histopathological examination. This is mostly performed by an experienced radiologist using a less invasive procedure. It is done in cases of a suspicious solid mass, a distortion in normal architecture or density of the breast tissue. This is very useful in suspicious lesions picked up by an US guided and then sampled accordingly (Rakesh et al., 2017).

     Dealing with a significant breast lesion involves the correlation of clinical imaging and the histopathological findings. This is best achieved with a multidisciplinary open forum with the clinician, radiologist and pathologist reaching a consensus on the management of each case using predefined protocols. The highest levels of diagnostics accuracy are achieved if such triple approach of imaging, clinical diagnosis and biopsy is used (Ahmed and Kadhim, 2016).

     The present work aimed to assess the diagnostic value of the ultrasound of suspicious breast masses by correlation of the ultrasound findings with those obtained from the histopathological data resulting from U/S guided Tru Cut biopsy.

PATIENTS AND METHODS

     This prospective study comprised of 40 cases in which US revealed suspicious breast masses. All of those patients, investigated by breast ultrasound and, agreed to undergo U/S guided tru-cut biopsy after ultrasound examination. The samples are sent for histopathological assessment to confirm the results of the ultrasound. The work was done at the Radiology Department, Al-HussienUniversityHospital. Ethical approval from Al-Hussien University Ethics Committee was obtained .The study was carried out during the period between December 2020 till June 2021.

Inclusion criteria: Patients presented to the radiology department at Al-hussien university hospital for breast US and /or mammographic evaluation that revealed suspicious breast masses indicative for biopsy that was performed by ultra sound guidance under complete aseptic conditions.

Exclusion criteria: Patients refusals, Patients were not candidate for the biopsy as those with bleeding tendency and Patients with sonographic benign criteria of breast masses.

Statistical analysis: The clinical data were recorded on a report form. These data were tabulated and analyzed using the computer program SPSS (Statistical package for the social sciences) version 20 to obtain both descriptive data (for quantitative data in the form of Mean, standard deviation (±SD), median and interquartile range (IQR) in addition to frequency and distribution for qualitative data) and analytical statistics (Inter-group comparison of categorical data was performed by using Fisher exact test (FET)). A P value


RESULTS

 

 

     This study included 40 patients. It was conducted in radiology department of Al-hussien university hospital. Mean age of patients was 47±9 (Mean±SD) with minimum of 38 years old and maximum of 65 years old. All of our samples were females.

There was no statistically significant difference between benign and malignant US regarding age of the patients, nipple discharge, sense of pain and lump and positions of the mass. While there was statistically significant difference according to family history (Table 1).


 

Table (1):   Comparison between results by US (benign and malignant) regarding the demographic data

Results by U/S

Demographic data

Benign

Malignant

P-value

No. = 3

No. = 37

Age (years)

Mean ± SD

44.33 ± 10.12

47.16 ± 8.99

0.606

Range

38 – 56

38 – 65

Discharge

No

2 (66.7%)

24 (64.9%)

0.230

Bloody

0 (0.0%)

11 (29.7%)

Yellowish

1 (33.3%)

2 (5.4%)

Pain

No

2 (66.7%)

26 (70.3%)

0.896

Yes

1 (33.3%)

11 (29.7%)

Lump

No

2 (66.7%)

11 (29.7%)

0.189

Yes

1 (33.3%)

26 (70.3%)

Position

Right

1 (33.3%)

24 (64.9%)

0.278

Left

2 (66.7%)

13 (35.1%)

Family history

Negative

3 (100.0%)

11 (29.7%)

0.037

Positive

0 (0.0%)

26 (70.3%)

 

 

 

     The total number of the patients in the study and the percentage of them in groups according to the site, echogencity, length, width, shape, margins and BIRADs of the mass (Table 2).

 

 

Table (2):   Radiologic data of the breast lesions

Breast lesions

Total no. = 40

Site of mass

Upper inner quadrant

Upper outer quadrant

19 (47.5 %)

17 ( 42.5 % )

Axillary tail

3 (7.5%)

Left operative bed

1 (2.5%)

Echogencityof mass

Hypoechoic

38 (95.0%)

Isoechoic

1 (2.5%)

Mixed hyperehoic and hypoechoic

1 (2.5%)

Width (mm)

Median (IQR)

23.25 (15.6 ‒ 27.75)

Range

7 – 50

Length (mm)

Median (IQR)

17 (12.4 ‒ 19)

Range

4 – 40

Shape

Oval

31 (77.5%)

Round

9 (22.5%)

Margin

Ill defined

31 (77.5%)

Well defined

9 (22.5%)

BIRADs

III

2 (5.0%)

IV a

2 (5.0%)

IV b

14 (35.0%)

IV c

22 (55.0%)

 

 

     There was no statistically significant difference between benign and malignant histopathology regarding the ages of the patients, nipple discharge and pain. While there was statistically significant difference according to sense of breast lump, position of the mass and family history (Table 3).

 

 

Table (3):   Comparison between results by hisopatholgy and the demographic data

Results by histopathology

Parameters

Benign

Malignant

P-value

No. = 5

No. = 35

Age (years)

Mean ± SD

46.20 ± 7.89

47.06 ± 9.21

0.845

Range

38 – 56

38 – 65

Discharge

No

3 (60.0%)

23 (65.7%)

0.514

Bloody

1 (20.0%)

10 (28.6%)

Yellowish

1 (20.0%)

2 (5.7%)

Pain

No

3 (60.0%)

25 (71.4%)

0.602

Yes

2 (40.0%)

10 (28.6%)

Lump

No

4 (80.0%)

9 (25.7%)

0.015

Yes

1 (20.0%)

26 (74.3%)

Position

Right

1 (20.0%)

24 (68.6%)

0.036

Left

4 (80.0%)

11 (31.4%)

Family history

Negative

5 (100.0%)

9 (25.7%)

0.003

Positive

0 (0.0%)

26 (74.3%)

 

 

     There was no statistically significant difference between benign and malignant histopathology regarding site of mass and width of the mass. While there was statistically significant difference according to echogencity, length, shape margin and BIRADs of the masses (Table 4).

 

 

Table (4):   Comparison between results by histopathology (benign and malignant) regarding breast lesions

Results by

histopathology

Parameters

Benign

Malignant

P-value

No. = 5

No. = 35

Site of mass

Upper inner quadrant

Upper inner quadrant

1 (20.0%)

3 (60.0 %)

18 (51.4%)

14 (40.0 %)

0.154

Axillary tail

0 (0.0%)

3 (8.6%)

Left operative bed

1 (20.0%)

0 (0.0%)

Echogencity
of mass

Hypoechoic

3 (60.0%)

35 (100.0%)

0.013

Isoechoic

1 (20.0%)

0 (0.0%)

Mixed hyperehoic
and hypoechoic

1 (20.0%)

0 (0.0%)

Width (mm)

Median (IQR)

15.2 (13 – 21)

24.5 (18 – 28)

0.105

Range

7 – 35

14 – 50

Length (mm)

Median (IQR)

7 (5 – 12.4)

17.4 (13.5 – 19.5)

0.006

Range

4 – 17

12 – 40

Shape

Oval

1 (20.0%)

30 (85.7%)

0.001

Round

4 (80.0%)

5 (14.3%)

Margin

Ill defined

1 (20.0%)

30 (85.7%)

0.001

Well defined

4 (80.0%)

5 (14.3%)

BIRADs

III

2 (40.0%)

0 (0.0%)

0.000

IV a

2 (40.0%)

0 (0.0%)

IV b

0 (0.0%)

14 (40.0%)

IV c

1 (20.0%)

21 (60.0%)

 

 

     All malignancies proved by histopatholoy are seen by ultrasound, while only 60 % of benign lesions proved by histopathology are seen by ultrasound (Table 5).

 

 

Table (5):   Comparison between results by histopathology (benign and malignant) regarding results by US

Results by histopathology

Final results by U/S

Benign

Malignant

P-value

No. = 5

No. = 35

Benign

Malignant

3 (60.0%)

0 (0.0%)

0.001

2 (40.0%)

35 (100.0%)

 

 

 

 

 

 

 

     There was no statistically significant difference between benign and malignant US regarding site of mass, echognecity, width and length. While there was statistically significant difference according shape, margin and BIRADs (Table 6).

 

 

Table (6):   Comparison between results by US (benign and malignant) regarding the breast lesions

Results by U/S

Breast Lesions

Benign

Malignant

P-value

No. = 3

No. = 37

Site of mass

Upper inner quadrant

Upper outer quadrant

0 (0.0%)

3 (100 %)

19 (51.4%)

14 (37.8%)

0.248

Axillary tail

0 (0.0%)

3 (8.1%)

Left operative bed

0 (0.0%)

1 (2.7%)

Echogencity
of mass

Hypoechoic

2 (66.7%)

36 (97.3%)

0.146

Isoechoic

1 (33.3%)

0 (0.0%)

Mixed hyperehoic
and  hypoechoic

0 (0.0%)

1 (2.7%)

Width (mm)

Median (IQR)

15.2 (13 – 35)

24.5 (18 – 27.5)

0.395

Range

13 – 35

7 – 50

Length (mm)

Median (IQR)

12.4 (4 – 17)

17 (13.5 – 19)

0.104

Range

4 – 17

5 – 40

Shape

Oval

0 (0.0%)

31 (83.8%)

0.009

Round

3 (100.0%)

6 (16.2%)

Margin

Ill defined

0 (0.0%)

31 (83.8%)

0.009

Well defined

3 (100.0%)

6 (16.2%)

BIRADs

III

2 (66.7%)

0 (0.0%)

˂`0.001

IV a

1 (33.3%)

1 (2.7%)

IV b

0 (0.0%)

14 (37.8%)

IV c

0 (0.0%)

22 (59.5%)

 

 

     The true positive, true negative, false positive and false negative values, sensitivity, specificity, positive predictive value, negative predictive value and accuracy (Table 7).

 

 

Table (7):   Results of ultrasound

 

TP

TN

FP

FN

Sensitivity

Specificity

PPV

NPV

Accuracy

Results by U/S

35

3

2

0

100.0%

60.0%

94.6%

100.0%

0.950

 

 

 

 

 

 

 

 

 

 

 

     The total number of the patients in the study and the percentage of them in groups according to the results seen by ultrasound (benign or malignant), results by histopathology (benign or malignant) and all histopathological results of the all patients (Table 8).

 

 

Table (8):   Descriptive data of the results

Results

Total no.=40

Results by U/S

Benign

3 (7.5%)

Malignant

37 (92.5%)

Results by histopathology

Benign

5 (12.5%)

Malignant

35 (87.5%)

Histopathological

results

Invasive ductal carcinoma

10 (25.0%)

Invasive lobular carcinoma

9 (22.5%)

Invasive mammary carcinoma

4 (10.0%)

Solid ductal carcinoma in situ.

2 (5.0%)

Ductal carcinoma tubular variant

2 (5.0%)

Invasive breast carcinoma tubule lobular

3 (7.5%)

Intraductal papilloma

1 (2.5%)

Benign fibroadenomatosis

3 (7.5%)

Fat necrosis with benign proliferative lesion

1 (2.5%)

Liposarcoma

1 (2.5%)

Mixed tubular and lobular carcinoma

2 (5.0%)

Invasive terminal duct / lobular carcinoma

2 (5.0%)

 

     Invasive ductal carcinoma has penetrated through the duct wall into stroma (Figure 1).

 


Figure (1):  Invasive ductal carcinoma

 

 

 

 

 

 

 

     Intraductal papilloma with benign proliferation of the intraductal epithelial cells, fibrovascular cores and underlying myoepithelial cells (Figure 2).

 

 


Figure (2):  Intraductal papillom

 

 

     Invasive lobular carcinoma with lobular neoplasia, intracellular mucin pushing the nucleus to one side created the characteristic signet ring morphology (Figure 3).

 

 


Figure (3):  Invasive lobular carcinoma

 

 

DISCUSSION

     The patient’s age in our study ranged between 38 and 65 years with a mean of 47 years (±SD 9).

     The study included 25 patients (62.5%) were right sided breast lesions which were more common than left sided lesions that included 15 patients (37.5%). which was  similar to results of Yasemin and Mehmet (2019) in which right sided lesions include 268 patients (%56.8) that was more common than left sided lesions that include 204 patients(43.2%).

     In our study the most frequent location of the masses was breast upper inner quadrant 47.5% of cases, while 42.5% of cases located at upper outer quadrant of the breast. The other locations were respectively axillary tail with a rate of 7.5% and operative bed region with a rate of  2.5%.

     Yeniçeri et al (2015) showed that the most frequent location of the masses was breast upper outer quadrant (49.5%) and others were upper inner quadrant with a rate of 18.4%, lower inner quadrant with 8.7%, lower outer quadrant with 18.4% and retroareolar region with 4.9%.

     As regards the BIRADS (breast imaging reporting and data systems) of each lesion, our study included 5.0% of patients of BIRADS III, 5.0% of BIRADS Iva, 35.0% of BIRADS IV b, and 55.0% of BIRADS IVc. Yeniçeri et al. (2015) showed that 42% were classified as BIRADS III, 19% as BIRADS IV, and 39% as BIRADS V. Yasemin and Mehmet (2019) showed that BI-RADS III was 71.6% and, BI-RADS IV were 28.4%.

     According to family history, our study included 65.0 % of positive family history; while Yasemin and Mehmet (2019) showed that the percentage was lower than our study, i.e. 12%.

     Our results yielded a high sensitivity of 100 % with 60 % specificity, and a PPV and NPV, of 94.6 %, 100 %, respectively with 95 % accuracy. Our results with US-guided core biopsy were similar to those in other reported series in which sensitivity ranged from 90% to 100 % according to Ahmed and Kadhim (2016).

     With results seen by Yasemin and Mehmet (2019) showed different percentage due to the large number of cases. Ahmed and Kadhim (2016) showed that the sensitivity of core biopsy was 94.64%, specificity was 91.30% and accuracy rate was 94.87%. Yasemin and Mehmet (2019) showed that the sensitivity was 95.4% with 100% specificity, and a PPV, NPV, and diagnostic accuracy of 100%, 96.1%, and 98.9%, respectively.

CONCLUSION

     Tru-cut biopsy was an accurate diagnostic tool of suspicious breast masses with a high diagnostic accuracy of 95 %. It was a preferable procedure for the diagnosis of breast lesions prior to operation rendering to its low cost, high accuracy, minimal complications, safe and short time procedure.

REFERENCES

  1. Ahmed SB, and Kadhim TJ (2016): Diagnostic Sharpness of Ultrasound guided needle True-Cut biopsy in diagnosis of breast lesions. Mustansiriya Medical Journal, 15(1): 65-69.
  2. Anderson KN, Schwab RB and Martinez ME (2014): Reproductive risk factors and breast cancer subtypes: a review of the literature. Breast cancer research and treatment, 144(1): 1-10.
  3. Angahar LT (2017): An Overview of Breast Cancer Epidemiology, Risk Factors, Pathophysiology, and Cancer Risks Reduction. MOJ Biol Med, 1(4):19-22.
  4. Cho N, Jang M, Lyou CY, Park JS, Choi HY and Moon WK (2012): Distinguishing benign from malignant masses at breast US: combined US elastography and color Doppler US— influence on radiologist accuracy. Radiology, 262(1): 80-90.
  5. Ellis H and Mahadevan V (2013): Anatomy and physiology of the breast. Surgery (Oxford), 31(1): 11-14.
  6. Evans A, Trimboli RM, Athanasiou A, Balleyguier C, Baltzer PA, Bick U and  Fallenberg EM (2018): Breast ultrasound: recommendations for information to women and referring physicians by the European Society of Breast Imaging. Insights into imaging, 9(4): 449-461.
  7. Giuliano AE, Connolly JL, Edge SB, Mittendorf EA, Rugo HS, Solin LJ and  Hortobagyi GN (2017): Breast cancer—major changes in the American Joint Committee on Cancer eighth edition cancer staging manual. CA: A Cancer Journal for Clinicians, 67(4): 290-303.
  8. Giuliano V and Giuliano C (2013): Improved breast cancer detection in asymptomatic women using 3D-automated breast ultrasound in mammographically dense breasts. Clinical Imaging, 37(3), 480-486.
  9. Grady I, Chanisheva N and Vasquez T (2017): The addition of automated breast ultrasound to mammography in breast cancer screening decreases stage at diagnosis. Academic Radiology, 24(12): 1570-1574.
  10. Hannah O, Eliassen AH, Beck AH, Rosner B, Schnitt SJ, Collins LC and Tamimi RM (2017): Breast cancer risk factors in relation to estrogen receptor, progesterone receptor, insulin-like growth factor-1 receptor, and Ki67 expression in normal breast tissue. NPJ Breast Cancer, 3(1): 39-41.
  11. Huang Q, Luo Y and Zhang Q (2017): Breast ultrasound image segmentation: a survey. International Journal of Computer Assisted Radiology and Surgery, 12(3): 493-507.
  12. Masroor I, Afzal S and Sufian SN (2016): Imaging guided breast interventions. Journal of the College of Physicians and Surgeons Pakistan, 26(6):521-523
  13. McGuire KP (2016): Breast anatomy and physiology. Breast Disease , 13(4): 1-14.
  14. Merkkola-von Schantz PA, Jahkola TA, Krogerus LA, Hukkinen KS and Kauhanen SM (2017): Should we routinely analyze reduction mammaplasty specimens?. Journal of Plastic, Reconstructive and Aesthetic Surgery, 70(2): 196-202.
  15. Palazzo JP (2018): Practical Surgical Pathology of the Breast. By: Juan P. Palazzo, 1st edtion, Pbi. Springer Publishing Company, 23(5): 222-225.
  16. Rakesh M, Raj K and Singh GN (2017): Role of Ultrasound guided core biopsy lesions in the management of Breast lesions. Indian Journal of Research, 26(7): 909-914.
  17. Reisenauer C, Fazzio RT and Hesley G (2017): Ultrasound-Guided Breast Interventions: Low Incidence of Infectious Complications With Use of an Uncovered Probe. American Journal of Roentgenology, 208(5): 1147-1153.
  18. Rizzolo P, Silvestri V, Tommasi S, Pinto R, Danza K, Falchetti M and Ottini L (2013): Male breast cancer: genetics, epigenetics, and ethical aspects. Annals of Oncology, 24(8): viii75-viii82.
  19. Rojas K and Stuckey A (2016): Breast cancer epidemiology and risk factors. Clinical Obstetrics and Gynecology, 59(4): 651-672.
  20. Sassaroli E, Scorza A, Crake C, Sciuto SA and Park MA (2016): Breast Ultrasound Technology and Performance Evaluation of Ultrasound Equipment: B-Mode. IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 64(1): 192-205.
  21. Silva LCF and Furtado JXA (2017): Correlation between ultrasonographic features and histopathological findings of breast lesions in biopsies. Mastology (Impr.), 27(3): 225-229.
  22. Vierkant RA, Degnim AC, Radisky DC, Visscher DW, Heinzen EP, Frank RD and Ghosh K (2017): Mammographic breast density and risk of breast cancer in women with atypical hyperplasia: an observational cohort study from the Mayo Clinic Benign Breast Disease (BBD) cohort. BMC cancer, 17(1): 84-87.
  23. Yasemin A, and Mehmet B (2019): Diagnostic utility of tru-cut biopsy in the assesment of breast lesions. Annals of Medical Research, 26(3): 505-9.
  24. Yeniçeri Ö, Özcan Ö, Çullu N and Deveer M (2015): The Benefit of Tru-Cut Biopsy in Breast Masses. J Harran Uni Med Faculty, 12(5) 73-7.

 

دور نتائج الموجات فوق الصوتية والبيانات النسيجية المرضية من خزعة الهدنة الموجهة بالموجات فوق الصوتية في تشخيص كتل الثدي المشبوهة

محمود محمد أحمد عبد العليم، محمود قدري الجندي، محمد صلاح الدين عبد الباقي، أسامة مصطفي مصطفي

أقسام الأشعة التشخيصية والباثولوجيا، كلية الطب، جامعة الأزهر

البريد الإلكترونى: drmahmoud184@gmail.com

خلفية البحث: تعتبر الموجات الفوق الصوتية علي الثدى الأداه الأولي في تشخيص أورام الثدي لاسيما عند إستكمال الفحص بالماموجرام.

الهدف من البحث: هو تقييم مدى كفاءة الموجات فوق الصوتية علي الثدي في تشخيص الاورام المبكرة والتنبؤ بالأورام السرطانية الخبيثة وتمييزها عن الاورام الحميدة كما تهدف دراستنا علي التركيز علي أهمية عينه الثدي قبل الجراحة في تشخيص سرطان الثدي والتي تساعد علي زيادة كفاءة العمليات الجراحية لأن التشخيص المبكر يؤدي الي نتائج افضل في العلاج عن التشخيص المتأخر للمرض وبعذ ذلك نقوم بمطابقة ارتباط النتائج النسيجية المرضية للخزعة الموجهة بالأشعه التلفزيونيه مع تلك المعلومات والنتائج التي تم الحصول عليها من الموجات فوق الصوتية.

المريضات وطرق البحث: تضمنت هذه الدراسة 40 مريضة يعانين من شكاوي مختلفة بالثدي والتي تتركز معظمها في وجود تورم أو إفرازات من الحلمة بالاضافة إلى ألم الثدى، وقد تم فحصهن بالموجات فوق الصوتية وأشعة الماموجرام في قسم الأشعة بمستشفى الحسين الجامعي .كما تم إجراء الاختبارات التشخيصية بطريقة موحدة. وتمت عملية أخذ العينة بشكل منهجي كامل مع مراعاة أعلي معايير التعقيم. وتم تسجيل كل من النتائج الإيجابية والسلبية لجميع المتغيرات.

نتائج البحث: هناك حساسية عالية بنسبة 100٪ مع 60٪ نتائج محددة ، والقيمة التنبؤية الايجابية و القيمة التنبؤية السلبية علي 94.6٪و 100٪ على التوالي، مما يعني أن خزعة العينة الموجهة بالأشعة التلفزيونية توفر تشخيص سرطان الثدي بدرجة عالية من الثقة.

الإستنتاج: خزعة العينة الموجهة بالأشعة التلفزيونية هي أداة تشخيص دقيقة لكتل الثدي المشتبه بها مع دقة تشخيصية عالية تصل إلى 95٪حيث توفر أنسجة كافية لاجراء تقييم نسيجي صحيح. لذلك فهو إجراء مثالي لتشخيص كتل الثدي قبل إجراء العملية مما يجعلها مخفضة التكلفة، ودقة عالية، وأدنى المضاعفات، وإجراءات آمنة وقصيرة المدة.

الكلمات الدالة: كتل الثدى المشتبه بها، الموجات فوق الصوتية، خزعة الهدنة الموجهة بالموجات فوق الصوتية، تقييم الأنسجة المرضية.

  1. REFERENCES

    1. Ahmed SB, and Kadhim TJ (2016): Diagnostic Sharpness of Ultrasound guided needle True-Cut biopsy in diagnosis of breast lesions. Mustansiriya Medical Journal, 15(1): 65-69.
    2. Anderson KN, Schwab RB and Martinez ME (2014): Reproductive risk factors and breast cancer subtypes: a review of the literature. Breast cancer research and treatment, 144(1): 1-10.
    3. Angahar LT (2017): An Overview of Breast Cancer Epidemiology, Risk Factors, Pathophysiology, and Cancer Risks Reduction. MOJ Biol Med, 1(4):19-22.
    4. Cho N, Jang M, Lyou CY, Park JS, Choi HY and Moon WK (2012): Distinguishing benign from malignant masses at breast US: combined US elastography and color Doppler US— influence on radiologist accuracy. Radiology, 262(1): 80-90.
    5. Ellis H and Mahadevan V (2013): Anatomy and physiology of the breast. Surgery (Oxford), 31(1): 11-14.
    6. Evans A, Trimboli RM, Athanasiou A, Balleyguier C, Baltzer PA, Bick U and  Fallenberg EM (2018): Breast ultrasound: recommendations for information to women and referring physicians by the European Society of Breast Imaging. Insights into imaging, 9(4): 449-461.
    7. Giuliano AE, Connolly JL, Edge SB, Mittendorf EA, Rugo HS, Solin LJ and  Hortobagyi GN (2017): Breast cancer—major changes in the American Joint Committee on Cancer eighth edition cancer staging manual. CA: A Cancer Journal for Clinicians, 67(4): 290-303.
    8. Giuliano V and Giuliano C (2013): Improved breast cancer detection in asymptomatic women using 3D-automated breast ultrasound in mammographically dense breasts. Clinical Imaging, 37(3), 480-486.
    9. Grady I, Chanisheva N and Vasquez T (2017): The addition of automated breast ultrasound to mammography in breast cancer screening decreases stage at diagnosis. Academic Radiology, 24(12): 1570-1574.
    10. Hannah O, Eliassen AH, Beck AH, Rosner B, Schnitt SJ, Collins LC and Tamimi RM (2017): Breast cancer risk factors in relation to estrogen receptor, progesterone receptor, insulin-like growth factor-1 receptor, and Ki67 expression in normal breast tissue. NPJ Breast Cancer, 3(1): 39-41.
    11. Huang Q, Luo Y and Zhang Q (2017): Breast ultrasound image segmentation: a survey. International Journal of Computer Assisted Radiology and Surgery, 12(3): 493-507.
    12. Masroor I, Afzal S and Sufian SN (2016): Imaging guided breast interventions. Journal of the College of Physicians and Surgeons Pakistan, 26(6):521-523
    13. McGuire KP (2016): Breast anatomy and physiology. Breast Disease , 13(4): 1-14.
    14. Merkkola-von Schantz PA, Jahkola TA, Krogerus LA, Hukkinen KS and Kauhanen SM (2017): Should we routinely analyze reduction mammaplasty specimens?. Journal of Plastic, Reconstructive and Aesthetic Surgery, 70(2): 196-202.
    15. Palazzo JP (2018): Practical Surgical Pathology of the Breast. By: Juan P. Palazzo, 1st edtion, Pbi. Springer Publishing Company, 23(5): 222-225.
    16. Rakesh M, Raj K and Singh GN (2017): Role of Ultrasound guided core biopsy lesions in the management of Breast lesions. Indian Journal of Research, 26(7): 909-914.
    17. Reisenauer C, Fazzio RT and Hesley G (2017): Ultrasound-Guided Breast Interventions: Low Incidence of Infectious Complications With Use of an Uncovered Probe. American Journal of Roentgenology, 208(5): 1147-1153.
    18. Rizzolo P, Silvestri V, Tommasi S, Pinto R, Danza K, Falchetti M and Ottini L (2013): Male breast cancer: genetics, epigenetics, and ethical aspects. Annals of Oncology, 24(8): viii75-viii82.
    19. Rojas K and Stuckey A (2016): Breast cancer epidemiology and risk factors. Clinical Obstetrics and Gynecology, 59(4): 651-672.
    20. Sassaroli E, Scorza A, Crake C, Sciuto SA and Park MA (2016): Breast Ultrasound Technology and Performance Evaluation of Ultrasound Equipment: B-Mode. IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 64(1): 192-205.
    21. Silva LCF and Furtado JXA (2017): Correlation between ultrasonographic features and histopathological findings of breast lesions in biopsies. Mastology (Impr.), 27(3): 225-229.
    22. Vierkant RA, Degnim AC, Radisky DC, Visscher DW, Heinzen EP, Frank RD and Ghosh K (2017): Mammographic breast density and risk of breast cancer in women with atypical hyperplasia: an observational cohort study from the Mayo Clinic Benign Breast Disease (BBD) cohort. BMC cancer, 17(1): 84-87.
    23. Yasemin A, and Mehmet B (2019): Diagnostic utility of tru-cut biopsy in the assesment of breast lesions. Annals of Medical Research, 26(3): 505-9.
    24. Yeniçeri Ö, Özcan Ö, Çullu N and Deveer M (2015): The Benefit of Tru-Cut Biopsy in Breast Masses. J Harran Uni Med Faculty, 12(5) 73-7.