The value of chest CT for prediction of breast tumor size: comparison with pathology measurement
World Journal of Surgical Oncology volume 11, Article number: 130 (2013)
Little information is available on the use of chest computed tomography (CT) to predict breast tumor size in breast cancer, despite the fact that chest CT examinations are being increasingly used. The purpose of this study was to evaluate the value of chest CT for predicting breast tumor size using pathology measurements as reference standards.
Tumor sizes (defined as greatest diameter) were retrospectively measured on the preoperative chest CT images of 285 patients with surgically proven unifocal, invasive breast carcinoma. Greatest tumor diameters as determined by chest CT and pathologic examinations were compared by linear regression and Spearman’s rho correlation analysis. Concordance between CT and pathology results was defined as a diameter difference of <5 mm. Subgroup analyses were also performed with respect to tumor size (<20 mm or ≥20 mm) and histological subtype (invasive ductal carcinoma(IDC) or non-IDC).
CT and pathology measured diameters were found to be linearly related (size at pathology = 1.086 × CT determined tumor size - 1.141; Spearman’s rho correlation coefficient = 0.84, P<0.001). Most tumors (n = 228, 80.0%) were concordant by chest CT and pathology, but 36 tumors (12.7%) were underestimated by CT (average underestimation, 11 mm; range, 6–36 mm) and 21 tumors (7.4%) were overestimated (average overestimation by CT, 10 mm; range, 6–19 mm). The concordance rate between the two sets of measurements was greater for tumor of <20 mm and for IDC (P<0.001 and P = 0.011, respectively).
Tumor size by chest CT is well correlated with pathology determined tumor size in breast cancer patients, and the diameters of the majority of tumors by chest CT and pathology differed by <5 mm. In addition, the concordance rate was higher for breast tumors of <20 mm and for tumors of the IDC histologic subtype.
Breast cancer is the most common malignancy in women, and accounts for 15% of all cancers . The accurate estimation of tumor size and extent in breast cancer is essential for surgical planning and minimizing local recurrence after surgery [2, 3], and recently, chest computed tomography (CT) has been used to detect pulmonary and hepatic metastasis in patients with breast cancer before surgery. However, chest CT screening is not currently recommended in operable and asymptomatic patients with breast cancer [4, 5], although the use of chest CT examinations in breast cancer patients is undoubtedly increasing. Furthermore, a review of the literature revealed that no study has yet addressed the use of chest CT for determining breast tumor size. Accordingly, the purpose of this study was to assess the value of chest CT for determining breast tumor size using pathology measurements as reference standards.
We retrospectively searched archived records in a practice specializing in breast surgery from April 2010 to January 2012 for breast cancer patients that underwent chest CT before surgical treatment. The inclusion criteria adopted were newly diagnosed, biopsy-proven, unifocal breast cancer with a positive chest CT scan. Finally, 285 patients (mean age, 48.79 years; range, 20–79 years) were included. Baseline characteristics of the study cohort are provided in Table 1.
Gross and histopathologic examinations of surgical specimens were performed by staff pathologists. Cross-sections of formalin-fixed paraffin-embedded specimens were obtained at 5-mm intervals perpendicular to the line connecting the nipple and the tumor center. Specimens were examined microscopically using hematoxylin and eosin staining. Lesion sizes were measured and largest tumor diameter was defined as tumor size.
Histopathologic diagnosis revealed invasive ductal carcinoma (IDC) in 86%, invasive lobular carcinoma (ILC) in 4.5%, invasive papillary carcinoma in 2.1%, and othersin 7.4%. The parameters used for multidetector computed tomography (MDCT) (Somatom Sensation 16 or 64 scanners, Siemens Medical Solutions, Forchheim, Germany) examinations were as follows: 100–120 kVp, 170 mAs, 5-mm collimation, a 10 mm/s table feed with a 1-s rotation time, 5.0-mm slice thickness, and 2.5–5.0 mm intervals. Synthetic sagittal and coronal images were reformatted at intervals of 3 mm and fully covered the region from anterior skin to the back of the chest. The effective dose for chest CT was 4.0 mSv, based on a standard patient model using an anthropomorphic phantom, and a conversion factor of 0.017 mSv/(mGy.cm) was used to convert dose-length product to effective dose . Prior to chest CT, all patients fasted for >6 h. Iopromide (120 mL; Ultravist; Bayer Schering Pharma, Berlin) was injected intravenously at a rate of 4 mL/s, and CT images were obtained 30–40 s later. Our institutional review board approved this retrospective study, and the requirement for informed patient consent was waived.
A subspecialty-trained chest radiologist and a third-year radiology resident retrospectively measured maximum diameters of breast tumors on CT images by consensus and compared these with pathologic results. CT determined tumor sizes were also analyzed for concordance with pathologic tumor sizes.
Concordance between CT and pathologic diameters was defined as a tumor size difference of <5 mm. When a CT measured size was >5 mm smaller than pathologic tumor size, CT determined tumor size was considered an underestimation, and conversely, when CT size was >5 mm larger than pathologic tumor size, it was considered an overestimation. In addition, concordance rates between IDC and non-IDC patients and between patients with a CT determined tumor diameter of <20 mm (Group 1) and ≥20 mm (Group 2) were compared.
Maximum chest CT and pathology determined tumor sizes were compared by linear regression and Spearman’s rho correlation analysis. The chi-squared test was used to analyze concordances rates between chest CT and pathology with respect to tumor size and histologic type. Statistical significance was accepted at the 95% confidence level (P<0.05). A commercially available software program was used for data processing and analysis (PASW, version 17.0; SPSS, Chicago, IL, USA).
Overall, longest tumor diameters as determined by chest CT (average, 21 mm, range, 2–74 mm) and pathology (average, 22 mm; range, 3–90 mm) were not significantly different (P = 0.059), and a linear relation was found between the two (pathology determined tumor size = 1.086 × CT determined tumor size - 1.141; Spearman’s rho correlation coefficient, 0.84; P<0.001).
Tumor sizes were concordant in 228 of the 285 patients (80%). However, 36 tumors (12.7%) were underestimated by CT by an average of 12 mm (range, 6–36 mm) and 21 tumors (7.4%) were overestimated by an average of 10 mm (range, 6–19 mm). The concordance rate was higher for tumors of <20 mm (88.5% vs. 71.9% for tumor size <20 mm vs. tumor size ≥20 mm, P<0.001) and for IDC (82.4% vs. 65.0% for IDC vs. non-IDC, P = 0.011) (Table 2).
A number of imaging modalities are used to assess tumor size and extent in breast cancer to determine optimal treatment. Mammography and ultrasonography are the first choices for the screening and diagnosis of breast cancer, but mammography is limited in premenopausal women with dense breasts and ultrasonography is not reliable enough to visualize tumor extensions when tumors exhibit extensive intraductal spread . Breast magnetic resonance imaging (MRI) has attracted much attention recently because its ability to detect breast lesions sufficient to allow the accurate visualization of intraductal lesions around main tumors [7, 8]. However, although MRI offers the advantage of sensitivity, it tends to overestimate tumor size and is limited by a relatively high false-positive rate, and thus, requires additional biopsies and increases patient anxiety, time, and costs [9–11]. In addition, MRI cannot be performed in patients with claustrophobia and is usually performed in the prone position, whereas surgery is performed with the patient supine. ChestCT examinations, on the other hand, are performed in the supine position, and thus, the positions of breasts in chest CT images better matches the surgical approach. Furthermore, due to the technological improvements offered by MDCT, several authors have concluded that CT of the breast provides an accurate preoperative means of assessing tumor extent and size [8, 12–14]. However, breast CT in these reports had different acquisition technique with chest CT and is rarely used in present clinical practice, because the field of view is limited to the breast region and examinations require multiple scans, including precontrast CT scan and postcontrast CT scan at 70 to 100 s after contrast administration [13, 15, 16], or a dynamic acquisition technique (1, 3, and 8 min after contrast administration), which inevitably increases radiation dose . In previous studies [17–19], the radiation dose required for breast CT was reported to be 28 mSv, which is approximately 10 times greater than that used for standard mammographic examinations (2.8 mSv), and seven times higher than that required for a chest CT examination.
For the assessment of tumor size in breast cancer, several authors have addressed the accuracies of mammography, ultrasonography (US), and magnetic resonance imaging (MRI) [20–24]; Ramirez et al.  concluded that generally, breast mammography determined tumor size correlated better with histopathologic size than MRI or US determined tumor sizes. However, MRI is regarded to be more accurate than mammography or ultrasonography in the ILC subtype, which tends to underestimate the sizes of ILC in up to 70%, and 80% of cases, respectively [23, 24]. However, to the best of our knowledge, no previous study has addressed tumor size estimation by chest CT in breast cancer patients.
Because the incidence of metastasis is low and false-positive findings are more common than true-positive findings [4, 5], the current National Comprehensive Cancer Network (NCCN) guidelines do not recommend the routine use of chest CT in operable breast cancer. Nevertheless, chest CT exanimations are being increasingly used in breast cancer to evaluate pulmonary and hepatic metastases [5, 23, 24]. Somewhat surprisingly, no report has been issued regarding the predictive value of chest CT for the evaluation of tumor size in breast cancer. In the present study, we found a positive correlation between chest CT and pathologically determined tumor sizes and that tumors sizes differed by <5 mm in 80% of our cohort. Furthermore, the concordance rate between CT and pathologic findings was higher for breast tumors of <20 mm and for those of the IDC histologic subtype.
Although current guidelines and available evidence do not support the routine preoperative chest CT evaluation of operable breast cancer, in some patients with a respiratory or abdominal symptom or who deny other imaging modalities, chest CT could provide an alternative means of evaluating tumor size, especially when the tumor is <20 mm of the IDC subtype.
This study had several limitations that warrant consideration. First, it is inherently limited by its retrospective design. In particular, the study is subject to selection bias, because women were selected for chest CT at the discretion of a breast surgeon, and breast cancers not visualized by chest CT were not included in the study. Second, we did not compare CT determined tumor sizes with ultrasonography, mammography, or breast MRI determined sizes, because not all patients underwent ultrasonography, mammography, or MRI, and because imagings were performed at different times. A prospective study is required to compare the abilities of chest CT, ultrasonography, mammography, and breast MRI to determine breast cancer size. Third, formalin fixation affects solid tissue measurements. Pritt and colleagues  observed 4% of breast cancer specimens decreased in size after overnight formalin fixation and that 40% shrank after processing and mounting.
The present study shows that chest CT can be used to predict breast tumor size reliably in patients with breast cancer. In fact, chest CT determined breast tumor sizes were found to be well correlated with pathology-determined sizes, and for most, the size difference was <5 mm. In addition, the concordance rate between chest CT and pathology was found to be greater for breast tumors of <20 mm and for the IDC subtype.
Invasive ductal carcinoma
Invasive lobular carcinoma
Multi-detector computed tomography
Magnetic resonance imaging
National Comprehensive Cancer Network
Jemal A, Siegel R, Xu J, Ward E: Cancer statistics, 2010. CA Cancer J Clin. 2010, 60: 277-300. 10.3322/caac.20073.
Anscher MS, Jones P, Prosnitz LR, Blackstock W, Hebert M, Reddick R, Tucker A, Dodge R, Leight G, Iglehart JD: Local failure and margin status in early-stage breast carcinoma treated with conservation surgery and radiation therapy. Ann Surg. 1993, 218: 22-28. 10.1097/00000658-199307000-00005.
Fortin A, Larochelle M, Laverdiere J, Lavertu S, Tremblay D: Local failure is responsible for the decrease in survival for patients with breast cancer treated with conservative surgery and postoperative radiotherapy. J ClinOncol. 1999, 17: 101-109.
NCCN practice guidelines in oncology v.2.2011.NCCN. 2011,http://www.nccn.org/professionals/physician_gls/pdf/breast.pdf,
Kim H, Han W, Moon HG, Min J, Ahn SK, Kim TY, Im SA, Oh DY, Han SW, Chie EK, Ha SW, Noh DY: The value of preoperative staging chest computed tomography to detect asymptomatic lung and liver metastasis in patients with primary breast carcinoma. Breast Cancer Res Treat. 2011, 126: 637-641. 10.1007/s10549-011-1368-7.
Hurwitz LM, Reiman RE, Yoshizumi TT, Goodman PC, Toncheva G, Nguyen G, Lowry C: Radiation dose from contemporary cardiothoracic multidetector CT protocols with an anthropomorphic female phantom: implications for cancer induction. Radiology. 2007, 245: 742-750. 10.1148/radiol.2453062046.
Hata T, Takahashi H, Watanabe K, Takahashi M, Taguchi K, Itoh T, Todo S: Magnetic resonance imaging for preoperative evaluation of breast cancer: a comparative study with mammography and ultrasonography. J Am CollSurg. 2004, 198: 190-197.
Nakahara H, Namba K, Wakamatsu H, Watanabe R, Furusawa H, Shirouzu M, Matsu T, Tanaka C, Akiyama F, Ifuku H, Nakahara M, Tamura S: Extension of breast cancer: comparison of CT and MRI. Radiat Med. 2002, 20: 17-23.
Berg WA, Gutierrez L, NessAiver MS, Carter WB, Bhargavan M, Lewis RS, Ioffe OB: Diagnostic accuracy of mammography, clinical examination, US, and MR imaging in preoperative assessment of breast cancer. Radiology. 2004, 233: 830-849. 10.1148/radiol.2333031484.
Onesti JK, Mangus BE, Helmer SD, Osland JS: Breast cancer tumor size: correlation between magnetic resonance imaging and pathology measurements. Am J Surg. 2008, 196: 844-848. 10.1016/j.amjsurg.2008.07.028. discussion 849–850
Vandermeer FQ, Bluemke DA: Breast MRI: state of the art. Cancer Invest. 2007, 25: 384-392. 10.1080/07357900701360013.
Uematsu T, Sano M, Homma K: False-positive helical CT findings of multifocal and multicentric breast cancer: is attenuation of tumor useful for diagnosing enhanced lesions?. Breast Cancer. 2002, 9: 62-68. 10.1007/BF02967549.
Uematsu T, Sano M, Homma K, Shiina M, Kobayashi S: Three-dimensional helical CT of the breast: accuracy for measuring extent of breast cancer candidates for breast conserving surgery. Breast Cancer Res Treat. 2001, 65: 249-257. 10.1023/A:1010641223012.
Uematsu TSM, Sano M, Homma K, Sato N: Comparison between high resolution helical CT and pathology in breast examination. Acta Radiol. 2002, 43: 385-390. 10.1034/j.1600-0455.2002.430408.x.
Uematsu T, Sano M, Homma K, Makino H, Shiina M, Kobayashi S, Shimizu K: Staging of palpable T1-2 invasive breast cancer with helical CT. Breast Cancer. 2001, 8: 125-130. 10.1007/BF02967491.
Takase K, Furuta A, Harada N, Takahashi T, Igarashi K, Chiba Y, Haga K, Takahashi S: Assessing the extent of breast cancer using multidetector row helical computed tomography. J Comput Assist Tomogr. 2006, 30: 479-485. 10.1097/00004728-200605000-00021.
Inoue M, Sano T, Watai R, Ashikaga R, Ueda K, Watatani M, Nishimura Y: Dynamic multidetector CT of breast tumors: diagnostic features and comparison with conventional techniques. AJR Am J Roentgenol. 2003, 181: 679-686. 10.2214/ajr.181.3.1810679.
Sardanelli F, Calabrese M, Zandrino F, Melani E, Parodi R, Imperiale A, Massa T, Parodi G, Canavese G: Dynamic helical CT of breast tumors. J Comput Assist Tomogr. 1998, 22: 398-407. 10.1097/00004728-199805000-00010.
Evans SH, Davis R, Cooke J, Anderson W: A comparison of radiation doses to the breast in computed tomographic chest examinations for two scanning protocols. ClinRadiol. 1989, 40: 45-46.
Behjatnia B, Sim J, Bassett LW, Moatamed NA, Apple SK: Does size matter? Comparison study between MRI, gross, and microscopic tumor sizes in breast cancer in lumpectomy specimens. Int J ClinExpPathol. 2010, 3: 303-309.
Pritt B, Ashikaga T, Oppenheimer RG, Weaver DL: Influence of breast cancer histology on the relationship between ultrasound and pathology tumor size measurements. Mod Pathol. 2004, 17: 905-910. 10.1038/modpathol.3800138.
Ramirez SI, Scholle M, Buckmaster J, Paley RH, Kowdley GC: Breast cancer tumor size assessment with mammography, ultrasonography, and magnetic resonance imaging at a community based multidisciplinary breast center. Am Surg. 2012, 78: 440-446.
March DE, Wechsler RJ, Kurtz AB, Rosenberg AL, Needleman L: CT-pathologic correlation of axillary lymph nodes in breast carcinoma. J Comput Assist Tomogr. 1991, 15: 440-444. 10.1097/00004728-199105000-00017.
Sagel SS: HSL, pleura, chest wall. Computed body tomography with MRI correlation. Edited by: Lee JKT, Sagel SS, Stanley RY. 2003, New York, NY: Raven
Pritt B, Tessitore JJ, Weaver DL, Blaszyk H: The effect of tissue fixation and processing on breast cancer size. Hum Pathol. 2005, 36: 756-760. 10.1016/j.humpath.2005.04.018.
The authors declare that they have no competing interests. The study had no external funding.
SJA, YSK, and EYK conceived the study and participated in the literature search, writing the manuscript, and editing. In addition, YSK and EYK participated in submission of the manuscript. HKP, EKC, YKK, YMS, and H-YC participated in study design, data analysis, manuscript writing, and editing. All the authors read and approved the final manuscript.
Su Joa Ahn, Young Saing Kim contributed equally to this work.
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Ahn, S.J., Kim, Y.S., Kim, E.Y. et al. The value of chest CT for prediction of breast tumor size: comparison with pathology measurement. World J Surg Onc 11, 130 (2013). https://doi.org/10.1186/1477-7819-11-130