Literature DB >> 28861372

Estimation of tumor size in breast cancer comparing clinical examination, mammography, ultrasound and MRI-correlation with the pathological analysis of the surgical specimen.

Tomas Cortadellas1, Paula Argacha1, Juan Acosta1, Jordi Rabasa1, Ricardo Peiró1, Margarita Gomez1, Laura Rodellar1, Sandra Gomez1, Alejandra Navarro-Golobart1, Sonia Sanchez-Mendez1, Milagros Martinez-Medina1, Mireia Botey2, Carlos Muñoz-Ramos2, Manel Xiberta1.   

Abstract

BACKGROUND: To evaluate the best method in our center to measure preoperative tumor size in breast tumors, using as reference the tumor size in the postoperative surgical specimen. We compared physical examination vs. mammography vs. resonance vs. ultrasound. There are different studies in the literature with disparate results.
METHODS: This is a retrospective study. All the included patients have been studied by clinical examination performed by gynecologist or surgeon specialists in senology, and radiological tests (mammography, ultrasound and magnetic resonance imaging). The correlation of mammary examination, ultrasound, mammography and resonance with pathological anatomy was studied using the Pearson index. Subsequently, the results of such imaging tests were compared with the tumor size of the infiltrating component measured by anatomopathological study using a student's t test for related variables. The level of significance was set at 95%. Statistical package R. was used.
RESULTS: A total of 73 cases were collected from October 2015 to July 2016 with diagnosis of infiltrating breast carcinoma. Twelve cases of carcinoma in situ and seven cases of neoadjuvant carcinoma are excluded. Finally, a total of 56 cases were included in the analysis. The mean age of the patients is 57 years. The histology is of infiltrating ductal carcinoma in 46 patients (80.7%), lobular in 8 (14%) and other carcinomas in 3 cases (5.2%). We verified the relationship between preoperative tumor size by physical examination, mammography, ultrasound (US) and magnetic resonance imaging (MRI), and the final size of the surgical specimen by applying a Pearson correlation test. A strong correlation was found between the physical examination results 0.62 (0.43-0.76 at 95% CI), ultrasound 0.68 (0.51-0.8 at 95% CI), mammography 0.57 (0.36-0.72 at 95% CI) and RM 0.51 (0.29-0.68 at 95% CI) with respect to pathological anatomy. The mean tumor size of the surgical specimen was 16.1 mm. Mean of tumor size by physical examination was 12.1 mm (P<0.05), by 14 mm US (P<0.05), by mammography of 14.3 (P<0.05) and by MRI of 22.53 mm (P>0.05).
CONCLUSIONS: Ultrasonography is the best predictor of tumor size in breast cancer, compared with clinical examination, mammography, and resonance. Our work could help the decision-making process such as the type of conservative surgery, the possible need for oncoplastic surgery or the decision to start treatment with neoadjuvant therapy, in patients with unifocal tumors.

Entities:  

Keywords:  Breast cancer; magnetic resonance imaging (MRI); mammography; tumor size; ultrasound (US)

Year:  2017        PMID: 28861372      PMCID: PMC5566672          DOI: 10.21037/gs.2017.03.09

Source DB:  PubMed          Journal:  Gland Surg        ISSN: 2227-684X


  20 in total

1.  Breast cancer tumor size assessment with mammography, ultrasonography, and magnetic resonance imaging at a community based multidisciplinary breast center.

Authors:  Sarah Ines Ramirez; Max Scholle; Jennifer Buckmaster; Robert Hunter Paley; Gopal Chandru Kowdley
Journal:  Am Surg       Date:  2012-04       Impact factor: 0.688

2.  Comparative accuracy of preoperative tumor size assessment on mammography, sonography, and MRI: Is the accuracy affected by breast density or cancer subtype?

Authors:  Rebecca Leddy; Abid Irshad; Allie Metcalfe; Pramod Mabalam; Ahad Abid; Susan Ackerman; Madelene Lewis
Journal:  J Clin Ultrasound       Date:  2015-08-21       Impact factor: 0.910

3.  Assessment of breast cancer tumor size depends on method, histopathology and tumor size itself*.

Authors:  K Heusinger; C Löhberg; M P Lux; T Papadopoulos; K Imhoff; R Schulz-Wendtland; M W Beckmann; P A Fasching
Journal:  Breast Cancer Res Treat       Date:  2005-11       Impact factor: 4.872

4.  Influence of mammographic density on the diagnostic accuracy of tumor size assessment and association with breast cancer tumor characteristics.

Authors:  Peter A Fasching; Katharina Heusinger; Christian R Loehberg; Evelyn Wenkel; Michael P Lux; Michael Schrauder; Thomas Koscheck; Werner Bautz; Rüdiger Schulz-Wendtland; Matthias W Beckmann; Mayada R Bani
Journal:  Eur J Radiol       Date:  2006-10-09       Impact factor: 3.528

5.  Sonographic, magnetic resonance imaging, and mammographic assessments of preoperative size of breast cancer.

Authors:  W T Yang; W W Lam; H Cheung; M Suen; W W King; C Metreweli
Journal:  J Ultrasound Med       Date:  1997-12       Impact factor: 2.153

6.  Diagnostic performance of digital versus film mammography for breast-cancer screening.

Authors:  Etta D Pisano; Constantine Gatsonis; Edward Hendrick; Martin Yaffe; Janet K Baum; Suddhasatta Acharyya; Emily F Conant; Laurie L Fajardo; Lawrence Bassett; Carl D'Orsi; Roberta Jong; Murray Rebner
Journal:  N Engl J Med       Date:  2005-09-16       Impact factor: 91.245

7.  Diagnostic accuracy of mammography, clinical examination, US, and MR imaging in preoperative assessment of breast cancer.

Authors:  Wendie A Berg; Lorena Gutierrez; Moriel S NessAiver; W Bradford Carter; Mythreyi Bhargavan; Rebecca S Lewis; Olga B Ioffe
Journal:  Radiology       Date:  2004-10-14       Impact factor: 11.105

8.  MRI evaluation of the contralateral breast in women with recently diagnosed breast cancer.

Authors:  Constance D Lehman; Constantine Gatsonis; Christiane K Kuhl; R Edward Hendrick; Etta D Pisano; Lucy Hanna; Sue Peacock; Stanley F Smazal; Daniel D Maki; Thomas B Julian; Elizabeth R DePeri; David A Bluemke; Mitchell D Schnall
Journal:  N Engl J Med       Date:  2007-03-28       Impact factor: 91.245

9.  Breast tumors: comparative accuracy of MR imaging relative to mammography and US for demonstrating extent.

Authors:  C Boetes; R D Mus; R Holland; J O Barentsz; S P Strijk; T Wobbes; J H Hendriks; S H Ruys
Journal:  Radiology       Date:  1995-12       Impact factor: 11.105

10.  Measurement of tumour size with mammography, sonography and magnetic resonance imaging as compared to histological tumour size in primary breast cancer.

Authors:  Ines V Gruber; Miriam Rueckert; Karl O Kagan; Annette Staebler; Katja C Siegmann; Andreas Hartkopf; Diethelm Wallwiener; Markus Hahn
Journal:  BMC Cancer       Date:  2013-07-05       Impact factor: 4.430

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  10 in total

Review 1.  Update of the American Society of Breast Surgeons Toolbox to address the lumpectomy reoperation epidemic.

Authors:  Maureen P McEvoy; Jeffrey Landercasper; Himani R Naik; Sheldon Feldman
Journal:  Gland Surg       Date:  2018-12

2.  Prediction of tumor size in patients with invasive ductal carcinoma using FT-IR spectroscopy combined with chemometrics: a preliminary study.

Authors:  Zhimin Zhu; Chen Chen; Cheng Chen; Ziwei Yan; Fangfang Chen; Bo Yang; Huiting Zhang; Huijie Han; Xiaoyi Lv
Journal:  Anal Bioanal Chem       Date:  2021-03-22       Impact factor: 4.142

3.  Comparison of MRI and US in Tumor Size Evaluation of Breast Cancer Patients Receiving Neoadjuvant Chemotherapy.

Authors:  Onur Taydaş; Gamze Durhan; Meltem Gülsün Akpınar; Figen Başaran Demirkazık
Journal:  Eur J Breast Health       Date:  2019-04-01

4.  Adequate Assessment Can Affect the Management of Breast Cancer in Geriatric Population.

Authors:  Sherif Monib; Mohamed Elkorety; Hany Habashy
Journal:  Indian J Surg Oncol       Date:  2021-09-06

5.  Technical Factors Affecting Ultrasound Breast Tumor Size as Correlated with Pathological Type.

Authors:  Eman Ahmed Shawky Sabek; Hala Taha Salem
Journal:  Medicina (Kaunas)       Date:  2019-10-25       Impact factor: 2.430

6.  Clinical correlates of circulating cell-free DNA tumor fraction.

Authors:  Joerg Bredno; Jafi Lipson; Oliver Venn; Alexander M Aravanis; Arash Jamshidi
Journal:  PLoS One       Date:  2021-08-25       Impact factor: 3.240

7.  Interactive exploration of a global clinical network from a large breast cancer cohort.

Authors:  Nadir Sella; Anne-Sophie Hamy; Vincent Cabeli; Lauren Darrigues; Marick Laé; Fabien Reyal; Hervé Isambert
Journal:  NPJ Digit Med       Date:  2022-08-10

8.  Multimodality imaging in lobular breast cancer: Differences in mammography, ultrasound, and MRI in the assessment of local tumor extent and correlation with molecular characteristics.

Authors:  Bartosz Dołęga-Kozierowski; Michał Lis; Hanna Marszalska-Jacak; Mateusz Koziej; Marcin Celer; Małgorzata Bandyk; Piotr Kasprzak; Bartłomiej Szynglarewicz; Rafał Matkowski
Journal:  Front Oncol       Date:  2022-08-22       Impact factor: 5.738

9.  A comprehensive comparison of circulating tumor cells and breast imaging modalities as screening tools for breast cancer in Chinese women.

Authors:  Xuan Shao; Xiaoyan Jin; Zhigang Chen; Zhigang Zhang; Wuzhen Chen; Jingxin Jiang; Zhen Wang; Ying Cui; Wan-Hung Fan; Ke Wang; Xiuyan Yu; Jian Huang
Journal:  Front Oncol       Date:  2022-08-01       Impact factor: 5.738

10.  Accuracy of breast MRI in patients receiving neoadjuvant endocrine therapy: comprehensive imaging analysis and correlation with clinical and pathological assessments.

Authors:  Joana Reis; Jonas Christoffer Lindstrøm; Joao Boavida; Kjell-Inge Gjesdal; Daehoon Park; Nazli Bahrami; Manouchehr Seyedzadeh; Woldegabriel A Melles; Torill Sauer; Jürgen Geisler; Jonn Terje Geitung
Journal:  Breast Cancer Res Treat       Date:  2020-08-12       Impact factor: 4.624

  10 in total

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