1
|
Seiler SJ, Neuschler EI, Butler RS, Lavin PT, Dogan BE. Optoacoustic Imaging With Decision Support for Differentiation of Benign and Malignant Breast Masses: A 15-Reader Retrospective Study. AJR Am J Roentgenol 2023; 220:646-658. [PMID: 36475811 DOI: 10.2214/ajr.22.28470] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND. Overlap in ultrasound features of benign and malignant breast masses yields high rates of false-positive interpretations and benign biopsy results. Optoacoustic imaging is an ultrasound-based functional imaging technique that can increase specificity. OBJECTIVE. The purpose of this study was to compare specificity at fixed sensitivity of ultrasound images alone and of fused ultrasound and optoacoustic images evaluated with machine learning-based decision support tool (DST) assistance. METHODS. This retrospective Reader-02 study included 480 patients (mean age, 49.9 years) with 480 breast masses (180 malignant, 300 benign) that had been classified as BI-RADS category 3-5 on the basis of conventional gray-scale ultrasound findings. The patients were selected by stratified random sampling from the earlier prospective 16-site Pioneer-01 study. For that study, masses were further evaluated by ultrasound alone followed by fused ultrasound and optoacoustic imaging between December 2012 and September 2015. For the current study, 15 readers independently reviewed the previously acquired images after training in optoacoustic imaging interpretation. Readers first assigned probability of malignancy (POM) on the basis of clinical history, mammographic findings, and conventional ultrasound findings. Readers then evaluated fused ultrasound and optoacoustic images, assigned scores for ultrasound and optoacoustic imaging features, and viewed a POM prediction score derived by a machine learning-based DST before issuing final POM. Individual and mean specificities at fixed sensitivity of 98% and partial AUC (pAUC) (95-100% sensitivity) were calculated. RESULTS. Averaged across all readers, specificity at fixed sensitivity of 98% was significantly higher for fused ultrasound and optoacoustic imaging with DST assistance than for ultrasound alone (47.2% vs 38.2%; p = .03). Across all readers, pAUC was higher (p < .001) for fused ultrasound and optoacoustic imaging with DST assistance (0.024 [95% CI, 0.023-0.026]) than for ultrasound alone (0.021 [95% CI, 0.019-0.022]). Better performance using fused ultrasound and optoacoustic imaging with DST assistance than using ultrasound alone was observed for 14 of 15 readers for specificity at fixed sensitivity and for 15 of 15 readers for pAUC. CONCLUSION. Fused ultrasound and optoacoustic imaging with DST assistance had significantly higher specificity at fixed sensitivity than did conventional ultrasound alone. CLINICAL IMPACT. Optoacoustic imaging, integrated with reader training and DST assistance, may help reduce the frequency of biopsy of benign breast masses.
Collapse
Affiliation(s)
- Stephen J Seiler
- Department of Radiology, UT Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390-8585
| | - Erin I Neuschler
- Department of Radiology, University of Illinois College of Medicine, Chicago, IL
| | - Reni S Butler
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT
| | - Philip T Lavin
- Boston Biostatistics Research Foundation, Framingham, MA
| | - Basak E Dogan
- Department of Radiology, UT Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390-8585
| |
Collapse
|
2
|
A review of optical breast imaging: Multi-modality systems for breast cancer diagnosis. Eur J Radiol 2020; 129:109067. [PMID: 32497943 DOI: 10.1016/j.ejrad.2020.109067] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Revised: 05/04/2020] [Accepted: 05/09/2020] [Indexed: 11/24/2022]
Abstract
This review of optical breast imaging describes basic physical and system principles and summarizes technological evolution with a focus on multi-modality platforms and recent clinical trial results. Ultrasound-guided diffuse optical tomography and co-registered ultrasound and photoacoustic imaging systems are emphasized as models of state of the art optical technology that are most conducive to clinical translation.
Collapse
|
3
|
Uddin KMS, Zhang M, Anastasio M, Zhu Q. Optimal breast cancer diagnostic strategy using combined ultrasound and diffuse optical tomography. BIOMEDICAL OPTICS EXPRESS 2020; 11:2722-2737. [PMID: 32499955 PMCID: PMC7249842 DOI: 10.1364/boe.389275] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 03/19/2020] [Accepted: 03/31/2020] [Indexed: 05/02/2023]
Abstract
Ultrasound (US)-guided near-infrared diffuse optical tomography (DOT) has demonstrated great potential as an adjunct breast cancer diagnosis tool to US imaging alone, especially in reducing unnecessary benign biopsies. However, DOT data processing and image reconstruction speeds remain slow compared to the real-time speed of US. Real-time or near real-time diagnosis with DOT is an important step toward the clinical translation of US-guided DOT. Here, to address this important need, we present a two-stage diagnostic strategy that is both computationally efficient and accurate. In the first stage, benign lesions are identified in near real-time by use of a random forest classifier acting on the DOT measurements and the radiologists' US diagnostic scores. Any lesions that cannot be reliably classified by the random forest classifier will be passed on to the second stage which begins with image reconstruction. Functional information from the reconstructed hemoglobin concentrations is employed by a Support Vector Machine (SVM) classifier for diagnosis at the end of the second stage. This two-step classification approach which combines both perturbation data and functional features, results in improved classification, as denoted by the receiver operating characteristic (ROC) curve. Using this two-step approach, the area under the ROC curve (AUC) is 0.937 ± 0.009, with a sensitivity of 91.4% and specificity of 85.7%. In comparison, using functional features and US score yields an AUC of 0.892 ± 0.027, with a sensitivity of 90.2% and specificity of 74.5%. Most notably, the specificity is increased by more than 10% due to the implementation of the random forest classifier.
Collapse
Affiliation(s)
- K. M. Shihab Uddin
- Biomedical Engineering Department, Washington University in St. Louis, 1 Brooking Dr, St. Louis, MO 63130, USA
| | - Menghao Zhang
- Electrical and System Engineering Department, Washington University in St. Louis, 1 Brooking Dr, St. Louis, MO 63130, USA
| | - Mark Anastasio
- Biomedical Engineering Department, Washington University in St. Louis, 1 Brooking Dr, St. Louis, MO 63130, USA
- Department of Bioengineering, University of Illinois at Urbana-Champaign, 1406 W Green St, Urbana, IL 61801, USA
| | - Quing Zhu
- Biomedical Engineering Department, Washington University in St. Louis, 1 Brooking Dr, St. Louis, MO 63130, USA
| |
Collapse
|
4
|
Optoacoustic Breast Imaging: Imaging-Pathology Correlation of Optoacoustic Features in Benign and Malignant Breast Masses. AJR Am J Roentgenol 2018; 211:1155-1170. [PMID: 30106610 DOI: 10.2214/ajr.17.18435] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
OBJECTIVE Optoacoustic ultrasound breast imaging is a fused anatomic and functional modality that shows morphologic features, as well as hemoglobin amount and relative oxygenation within and around breast masses. The purpose of this study is to investigate the positive predictive value (PPV) of optoacoustic ultrasound features in benign and malignant masses. SUBJECTS AND METHODS In this study, 92 masses assessed as BI-RADS category 3, 4, or 5 in 94 subjects were imaged with optoacoustic ultrasound. Each mass was scored by seven blinded independent readers according to three internal features in the tumor interior and two external features in its boundary zone and periphery. Mean and median optoacoustic ultrasound scores were compared with histologic findings for biopsied masses and nonbiopsied BI-RADS category 3 masses, which were considered benign if they were stable at 12-month follow-up. Statistical significance was analyzed using a two-sided Wilcoxon rank sum test with a 0.05 significance level. RESULTS Mean and median optoacoustic ultrasound scores for all individual internal and external features, as well as summed scores, were higher for malignant masses than for benign masses (p < 0.0001). High external scores, indicating increased hemoglobin and deoxygenation and abnormal vessel morphologic features in the tumor boundary zone and periphery, better distinguished benign from malignant masses than did high internal scores reflecting increased hemoglobin and deoxygenation within the tumor interior. CONCLUSION High optoacoustic ultrasound scores, particularly those based on external features in the boundary zone and periphery of breast masses, have high PPVs for malignancy and, conversely, low optoacoustic ultrasound scores have low PPV for malignancy. The functional component of optoacoustic ultrasound may help to overcome some of the limitations of morphologic overlap in the distinction of benign and malignant masses.
Collapse
|
5
|
Zhi W, Wang Y, Chang C, Wang F, Chen Y, Hu N, Zhu X, Xie L. US-guided Diffuse Optical Tomography: Clinicopathological Features Affect Total Hemoglobin Concentration in Breast Cancer. Transl Oncol 2018; 11:845-851. [PMID: 29753185 PMCID: PMC6051956 DOI: 10.1016/j.tranon.2018.04.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2018] [Revised: 02/16/2018] [Accepted: 04/16/2018] [Indexed: 01/06/2023] Open
Abstract
PURPOSE: To investigate breast cancers total hemoglobin concentration (THC) characteristics and its association with clinical pathologic findings. MATERIALS AND METHODS: The study was approved by the institutional review board and all patients provided written informed consent. 447 breast cancer patients, totally 455 lesions were included in our study. The size and THC of breast lesions were measured by conventional ultrasound (US) and US-guided Diffuse Optical Tomography (DOT) 1–2 days before surgery. Clinical and pathology information of patients was collected. RESULT: The average THC values of ER- or PR- lesions were significantly higher than the positive ones (P = .005 and P = .01,respectively); The average THC values of axillar LN+ or LVI+ were higher than the negative ones (P = .042 and P = .043, respectively). No significant THC difference was found in groups of infiltrating vs. non-infiltrating, HER2+ vs. HER2-, Ki67 high vs. Ki67 low, and different menstrual phases (P = .457, P = .917, P = .417, P = .213, respectively).The incidence ages and the lesion-nipple distances of T3 patients were lower than that of T1 and T2 (P < .001 and P < .001 respectively). The THC values and Ki67 indexes of T2 and T3 lesions were similar, but were higher than that of the T1 group (P < =0.001 and P = .006, respectively). CONCLUSION: Clinicopathological features of breast cancer, such as ER and PR status, axillary lymph node metastasis, lymphovascular invasion, correlate with THC values. Furthermore, the Ki67 indexes can be predicted using tumor size and THC, useful for pre-surgical evaluation of cancer biology and real-time, non-invasive monitoring of NAC efficacy.
Collapse
Affiliation(s)
- Wenxiang Zhi
- Deprtment of Ultrasonography, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, No 270, Dong'an Road, Xuhui District, Shanghai, 200032, China
| | - Yu Wang
- Deprtment of Ultrasonography, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, No 270, Dong'an Road, Xuhui District, Shanghai, 200032, China
| | - Cai Chang
- Deprtment of Ultrasonography, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, No 270, Dong'an Road, Xuhui District, Shanghai, 200032, China.
| | - Fen Wang
- Deprtment of Ultrasonography, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, No 270, Dong'an Road, Xuhui District, Shanghai, 200032, China
| | - Yaling Chen
- Deprtment of Ultrasonography, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, No 270, Dong'an Road, Xuhui District, Shanghai, 200032, China
| | - Na Hu
- Deprtment of Ultrasonography, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, No 270, Dong'an Road, Xuhui District, Shanghai, 200032, China
| | - Xiaoli Zhu
- Deprtment of Pathology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, No 270, Dong'an Road, Xuhui District, Shanghai, 200032, China
| | - Li Xie
- Clinical Statistics Center, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, No 270, Dong'an Road, Xuhui District, Shanghai, 200032, China
| |
Collapse
|
6
|
Niu S, Zhu Q, Jiang Y, Zhu J, Xiao M, You S, Zhou W, Xiao Y. Correlations Among Ultrasound-Guided Diffuse Optical Tomography, Microvessel Density, and Breast Cancer Prognosis. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2018; 37:833-842. [PMID: 29048710 DOI: 10.1002/jum.14416] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2017] [Revised: 06/01/2017] [Accepted: 06/26/2017] [Indexed: 06/07/2023]
Abstract
OBJECTIVES To investigate the correlation among ultrasound-guided diffuse optical tomography (DOT), microvessel density, and breast cancer prognosis. METHODS Before surgery, the total hemoglobin (Hb) concentrations of 184 female patients with breast cancer with only a single lesion were measured. During follow-up, 23 patients had recurrence or metastatic disease after surgery. Among these patients, 18 with recurrence or metastatic disease within 3 years after surgery were paired with 18 patients without recurrence or metastatic disease. We retrospectively reviewed the pathologic sections of those 36 patients, conducted immunohistochemical staining, and counted the microvessel densities. Then we analyzed the correlation between microvessel density and total Hb, compared total Hb and microvessel density among breast cancers with different prognoses, and tested the value of DOT in predicting the prognosis of breast cancer. RESULTS Microvessel density and total Hb were linearly correlated (r = 0.584; P < .001). Total Hb and microvessel density were significantly increased in the metastasis group (P = .001 and .027, respectively). A receiver operating characteristic curve analysis showed that at a total Hb cutoff value of 221.7 μmol/L, the sensitivity, specificity, and area under the curve of DOT for predicting recurrence or metastasis were 0.826, 0.516, and 0.660, respectively. CONCLUSIONS The total Hb concentration can reflect a tumor's blood supply. Patients with a high total Hb concentration and microvessel density have a higher risk for a poorer prognosis. Total Hb can be used as an indicator of breast cancer prognosis. Diffuse optical tomography can help physicians identify patients with a high risk of metastasis and make clinical decisions.
Collapse
Affiliation(s)
- Sihua Niu
- Departments of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Qingli Zhu
- Departments of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Yuxin Jiang
- Departments of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jiaan Zhu
- Departments of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Mengsu Xiao
- Departments of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Shanshan You
- Departments of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Weixun Zhou
- Department of Ultrasound, Peking University People's Hospital, Beijing, China
| | - Yu Xiao
- Department of Ultrasound, Peking University People's Hospital, Beijing, China
| |
Collapse
|
7
|
Vedantham S, Karellas A. Emerging Breast Imaging Technologies on the Horizon. Semin Ultrasound CT MR 2018; 39:114-121. [PMID: 29317033 DOI: 10.1053/j.sult.2017.09.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Early detection of breast cancers by mammography in conjunction with adjuvant therapy has contributed to reduction in breast cancer mortality. Mammography remains the "gold-standard" for breast cancer screening but is limited by tissue superposition. Digital breast tomosynthesis and more recently, dedicated breast computed tomography have been developed to alleviate the tissue superposition problem. However, all of these modalities rely upon x-ray attenuation contrast to provide anatomical images, and there are ongoing efforts to develop and clinically translate alternative modalities. These emerging modalities could provide for new contrast mechanisms and may potentially improve lesion detection and diagnosis. In this article, several of these emerging modalities are discussed with a focus on technologies that have advanced to the stage of in vivo clinical evaluation.
Collapse
Affiliation(s)
- Srinivasan Vedantham
- Department of Medical Imaging, University of Arizona College of Medicine, Banner University Medical Center, Tucson, AZ.
| | - Andrew Karellas
- Department of Medical Imaging, University of Arizona College of Medicine, Banner University Medical Center, Tucson, AZ
| |
Collapse
|
8
|
Neuschler EI, Butler R, Young CA, Barke LD, Bertrand ML, Böhm-Vélez M, Destounis S, Donlan P, Grobmyer SR, Katzen J, Kist KA, Lavin PT, Makariou EV, Parris TM, Schilling KJ, Tucker FL, Dogan BE. A Pivotal Study of Optoacoustic Imaging to Diagnose Benign and Malignant Breast Masses: A New Evaluation Tool for Radiologists. Radiology 2017; 287:398-412. [PMID: 29178816 DOI: 10.1148/radiol.2017172228] [Citation(s) in RCA: 103] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Purpose To compare the diagnostic utility of an investigational optoacoustic imaging device that fuses laser optical imaging (OA) with grayscale ultrasonography (US) to grayscale US alone in differentiating benign and malignant breast masses. Materials and Methods This prospective, 16-site study of 2105 women (study period: 12/21/2012 to 9/9/2015) compared Breast Imaging Reporting and Data System (BI-RADS) categories assigned by seven blinded independent readers to benign and malignant breast masses using OA/US versus US alone. BI-RADS 3, 4, or 5 masses assessed at diagnostic US with biopsy-proven histologic findings and BI-RADS 3 masses stable at 12 months were eligible. Independent readers reviewed US images obtained with the OA/US device, assigned a probability of malignancy (POM) and BI-RADS category, and locked results. The same independent readers then reviewed OA/US images, scored OA features, and assigned OA/US POM and a BI-RADS category. Specificity and sensitivity were calculated for US and OA/US. Benign and malignant mass upgrade and downgrade rates, positive and negative predictive values, and positive and negative likelihood ratios were compared. Results Of 2105 consented subjects with 2191 masses, 100 subjects (103 masses) were analyzed separately as a training population and excluded. An additional 202 subjects (210 masses) were excluded due to technical failures or incomplete imaging, 72 subjects (78 masses) due to protocol deviations, and 41 subjects (43 masses) due to high-risk histologic results. Of 1690 subjects with 1757 masses (1079 [61.4%] benign and 678 [38.6%] malignant masses), OA/US downgraded 40.8% (3078/7535) of benign mass reads, with a specificity of 43.0% (3242/7538, 99% confidence interval [CI]: 40.4%, 45.7%) for OA/US versus 28.1% (2120/7543, 99% CI: 25.8%, 30.5%) for the internal US of the OA/US device. OA/US exceeded US in specificity by 14.9% (P < .0001; 99% CI: 12.9, 16.9%). Sensitivity for biopsied malignant masses was 96.0% (4553/4745, 99% CI: 94.5%, 97.0%) for OA/US and 98.6% (4680/4746, 99% CI: 97.8%, 99.1%) for US (P < .0001). The negative likelihood ratio of 0.094 for OA/US indicates a negative examination can reduce a maximum US-assigned pretest probability of 17.8% (low BI-RADS 4B) to a posttest probability of 2% (BI-RADS 3). Conclusion OA/US increases the specificity of breast mass assessment compared with the device internal grayscale US alone. Online supplemental material is available for this article. © RSNA, 2017.
Collapse
Affiliation(s)
- Erin I Neuschler
- From the Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (E.I.N.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, PO Box 208042, New Haven, CT 06520-8042 (R.B.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (C.A.Y.); Radiology Imaging Associates/Invision Sally Jobe, Englewood, Colo (L.D.B.); Solis Mammography Greensboro, Greensboro, NC (M.L.B.); Weinstein Imaging Associates, Pittsburgh, Pa (M.B.V.); Elizabeth Wende Breast Care, Rochester, NY (S.D.); Breast Care Atlanta, Atlanta, Ga (P.D.); Cleveland Clinic, Cleveland, Ohio (S.R.G.); Weill Cornell Medicine, New York, NY (J.K.); UT Health San Antonio, San Antonio, Tex (K.A.K.); Boston Biostatistics Research Foundation, Framingham, Mass (P.T.L.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (E.V.M.); Breastlink Temecula Valley, Murrieta, Calif (T.M.P.); Boca Raton Regional Hospital, Boca Raton, Fla (K.J.S.); Virginia Biomedical Laboratories, LLC, Wirtz, Va (F.L.T.); and Department of Radiology, The UT Southwestern Medical Center, Dallas, Tex (B.E.D.)
| | - Reni Butler
- From the Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (E.I.N.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, PO Box 208042, New Haven, CT 06520-8042 (R.B.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (C.A.Y.); Radiology Imaging Associates/Invision Sally Jobe, Englewood, Colo (L.D.B.); Solis Mammography Greensboro, Greensboro, NC (M.L.B.); Weinstein Imaging Associates, Pittsburgh, Pa (M.B.V.); Elizabeth Wende Breast Care, Rochester, NY (S.D.); Breast Care Atlanta, Atlanta, Ga (P.D.); Cleveland Clinic, Cleveland, Ohio (S.R.G.); Weill Cornell Medicine, New York, NY (J.K.); UT Health San Antonio, San Antonio, Tex (K.A.K.); Boston Biostatistics Research Foundation, Framingham, Mass (P.T.L.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (E.V.M.); Breastlink Temecula Valley, Murrieta, Calif (T.M.P.); Boca Raton Regional Hospital, Boca Raton, Fla (K.J.S.); Virginia Biomedical Laboratories, LLC, Wirtz, Va (F.L.T.); and Department of Radiology, The UT Southwestern Medical Center, Dallas, Tex (B.E.D.)
| | - Catherine A Young
- From the Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (E.I.N.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, PO Box 208042, New Haven, CT 06520-8042 (R.B.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (C.A.Y.); Radiology Imaging Associates/Invision Sally Jobe, Englewood, Colo (L.D.B.); Solis Mammography Greensboro, Greensboro, NC (M.L.B.); Weinstein Imaging Associates, Pittsburgh, Pa (M.B.V.); Elizabeth Wende Breast Care, Rochester, NY (S.D.); Breast Care Atlanta, Atlanta, Ga (P.D.); Cleveland Clinic, Cleveland, Ohio (S.R.G.); Weill Cornell Medicine, New York, NY (J.K.); UT Health San Antonio, San Antonio, Tex (K.A.K.); Boston Biostatistics Research Foundation, Framingham, Mass (P.T.L.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (E.V.M.); Breastlink Temecula Valley, Murrieta, Calif (T.M.P.); Boca Raton Regional Hospital, Boca Raton, Fla (K.J.S.); Virginia Biomedical Laboratories, LLC, Wirtz, Va (F.L.T.); and Department of Radiology, The UT Southwestern Medical Center, Dallas, Tex (B.E.D.)
| | - Lora D Barke
- From the Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (E.I.N.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, PO Box 208042, New Haven, CT 06520-8042 (R.B.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (C.A.Y.); Radiology Imaging Associates/Invision Sally Jobe, Englewood, Colo (L.D.B.); Solis Mammography Greensboro, Greensboro, NC (M.L.B.); Weinstein Imaging Associates, Pittsburgh, Pa (M.B.V.); Elizabeth Wende Breast Care, Rochester, NY (S.D.); Breast Care Atlanta, Atlanta, Ga (P.D.); Cleveland Clinic, Cleveland, Ohio (S.R.G.); Weill Cornell Medicine, New York, NY (J.K.); UT Health San Antonio, San Antonio, Tex (K.A.K.); Boston Biostatistics Research Foundation, Framingham, Mass (P.T.L.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (E.V.M.); Breastlink Temecula Valley, Murrieta, Calif (T.M.P.); Boca Raton Regional Hospital, Boca Raton, Fla (K.J.S.); Virginia Biomedical Laboratories, LLC, Wirtz, Va (F.L.T.); and Department of Radiology, The UT Southwestern Medical Center, Dallas, Tex (B.E.D.)
| | - Margaret L Bertrand
- From the Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (E.I.N.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, PO Box 208042, New Haven, CT 06520-8042 (R.B.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (C.A.Y.); Radiology Imaging Associates/Invision Sally Jobe, Englewood, Colo (L.D.B.); Solis Mammography Greensboro, Greensboro, NC (M.L.B.); Weinstein Imaging Associates, Pittsburgh, Pa (M.B.V.); Elizabeth Wende Breast Care, Rochester, NY (S.D.); Breast Care Atlanta, Atlanta, Ga (P.D.); Cleveland Clinic, Cleveland, Ohio (S.R.G.); Weill Cornell Medicine, New York, NY (J.K.); UT Health San Antonio, San Antonio, Tex (K.A.K.); Boston Biostatistics Research Foundation, Framingham, Mass (P.T.L.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (E.V.M.); Breastlink Temecula Valley, Murrieta, Calif (T.M.P.); Boca Raton Regional Hospital, Boca Raton, Fla (K.J.S.); Virginia Biomedical Laboratories, LLC, Wirtz, Va (F.L.T.); and Department of Radiology, The UT Southwestern Medical Center, Dallas, Tex (B.E.D.)
| | - Marcela Böhm-Vélez
- From the Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (E.I.N.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, PO Box 208042, New Haven, CT 06520-8042 (R.B.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (C.A.Y.); Radiology Imaging Associates/Invision Sally Jobe, Englewood, Colo (L.D.B.); Solis Mammography Greensboro, Greensboro, NC (M.L.B.); Weinstein Imaging Associates, Pittsburgh, Pa (M.B.V.); Elizabeth Wende Breast Care, Rochester, NY (S.D.); Breast Care Atlanta, Atlanta, Ga (P.D.); Cleveland Clinic, Cleveland, Ohio (S.R.G.); Weill Cornell Medicine, New York, NY (J.K.); UT Health San Antonio, San Antonio, Tex (K.A.K.); Boston Biostatistics Research Foundation, Framingham, Mass (P.T.L.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (E.V.M.); Breastlink Temecula Valley, Murrieta, Calif (T.M.P.); Boca Raton Regional Hospital, Boca Raton, Fla (K.J.S.); Virginia Biomedical Laboratories, LLC, Wirtz, Va (F.L.T.); and Department of Radiology, The UT Southwestern Medical Center, Dallas, Tex (B.E.D.)
| | - Stamatia Destounis
- From the Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (E.I.N.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, PO Box 208042, New Haven, CT 06520-8042 (R.B.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (C.A.Y.); Radiology Imaging Associates/Invision Sally Jobe, Englewood, Colo (L.D.B.); Solis Mammography Greensboro, Greensboro, NC (M.L.B.); Weinstein Imaging Associates, Pittsburgh, Pa (M.B.V.); Elizabeth Wende Breast Care, Rochester, NY (S.D.); Breast Care Atlanta, Atlanta, Ga (P.D.); Cleveland Clinic, Cleveland, Ohio (S.R.G.); Weill Cornell Medicine, New York, NY (J.K.); UT Health San Antonio, San Antonio, Tex (K.A.K.); Boston Biostatistics Research Foundation, Framingham, Mass (P.T.L.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (E.V.M.); Breastlink Temecula Valley, Murrieta, Calif (T.M.P.); Boca Raton Regional Hospital, Boca Raton, Fla (K.J.S.); Virginia Biomedical Laboratories, LLC, Wirtz, Va (F.L.T.); and Department of Radiology, The UT Southwestern Medical Center, Dallas, Tex (B.E.D.)
| | - Pamela Donlan
- From the Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (E.I.N.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, PO Box 208042, New Haven, CT 06520-8042 (R.B.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (C.A.Y.); Radiology Imaging Associates/Invision Sally Jobe, Englewood, Colo (L.D.B.); Solis Mammography Greensboro, Greensboro, NC (M.L.B.); Weinstein Imaging Associates, Pittsburgh, Pa (M.B.V.); Elizabeth Wende Breast Care, Rochester, NY (S.D.); Breast Care Atlanta, Atlanta, Ga (P.D.); Cleveland Clinic, Cleveland, Ohio (S.R.G.); Weill Cornell Medicine, New York, NY (J.K.); UT Health San Antonio, San Antonio, Tex (K.A.K.); Boston Biostatistics Research Foundation, Framingham, Mass (P.T.L.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (E.V.M.); Breastlink Temecula Valley, Murrieta, Calif (T.M.P.); Boca Raton Regional Hospital, Boca Raton, Fla (K.J.S.); Virginia Biomedical Laboratories, LLC, Wirtz, Va (F.L.T.); and Department of Radiology, The UT Southwestern Medical Center, Dallas, Tex (B.E.D.)
| | - Stephen R Grobmyer
- From the Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (E.I.N.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, PO Box 208042, New Haven, CT 06520-8042 (R.B.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (C.A.Y.); Radiology Imaging Associates/Invision Sally Jobe, Englewood, Colo (L.D.B.); Solis Mammography Greensboro, Greensboro, NC (M.L.B.); Weinstein Imaging Associates, Pittsburgh, Pa (M.B.V.); Elizabeth Wende Breast Care, Rochester, NY (S.D.); Breast Care Atlanta, Atlanta, Ga (P.D.); Cleveland Clinic, Cleveland, Ohio (S.R.G.); Weill Cornell Medicine, New York, NY (J.K.); UT Health San Antonio, San Antonio, Tex (K.A.K.); Boston Biostatistics Research Foundation, Framingham, Mass (P.T.L.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (E.V.M.); Breastlink Temecula Valley, Murrieta, Calif (T.M.P.); Boca Raton Regional Hospital, Boca Raton, Fla (K.J.S.); Virginia Biomedical Laboratories, LLC, Wirtz, Va (F.L.T.); and Department of Radiology, The UT Southwestern Medical Center, Dallas, Tex (B.E.D.)
| | - Janine Katzen
- From the Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (E.I.N.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, PO Box 208042, New Haven, CT 06520-8042 (R.B.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (C.A.Y.); Radiology Imaging Associates/Invision Sally Jobe, Englewood, Colo (L.D.B.); Solis Mammography Greensboro, Greensboro, NC (M.L.B.); Weinstein Imaging Associates, Pittsburgh, Pa (M.B.V.); Elizabeth Wende Breast Care, Rochester, NY (S.D.); Breast Care Atlanta, Atlanta, Ga (P.D.); Cleveland Clinic, Cleveland, Ohio (S.R.G.); Weill Cornell Medicine, New York, NY (J.K.); UT Health San Antonio, San Antonio, Tex (K.A.K.); Boston Biostatistics Research Foundation, Framingham, Mass (P.T.L.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (E.V.M.); Breastlink Temecula Valley, Murrieta, Calif (T.M.P.); Boca Raton Regional Hospital, Boca Raton, Fla (K.J.S.); Virginia Biomedical Laboratories, LLC, Wirtz, Va (F.L.T.); and Department of Radiology, The UT Southwestern Medical Center, Dallas, Tex (B.E.D.)
| | - Kenneth A Kist
- From the Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (E.I.N.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, PO Box 208042, New Haven, CT 06520-8042 (R.B.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (C.A.Y.); Radiology Imaging Associates/Invision Sally Jobe, Englewood, Colo (L.D.B.); Solis Mammography Greensboro, Greensboro, NC (M.L.B.); Weinstein Imaging Associates, Pittsburgh, Pa (M.B.V.); Elizabeth Wende Breast Care, Rochester, NY (S.D.); Breast Care Atlanta, Atlanta, Ga (P.D.); Cleveland Clinic, Cleveland, Ohio (S.R.G.); Weill Cornell Medicine, New York, NY (J.K.); UT Health San Antonio, San Antonio, Tex (K.A.K.); Boston Biostatistics Research Foundation, Framingham, Mass (P.T.L.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (E.V.M.); Breastlink Temecula Valley, Murrieta, Calif (T.M.P.); Boca Raton Regional Hospital, Boca Raton, Fla (K.J.S.); Virginia Biomedical Laboratories, LLC, Wirtz, Va (F.L.T.); and Department of Radiology, The UT Southwestern Medical Center, Dallas, Tex (B.E.D.)
| | - Philip T Lavin
- From the Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (E.I.N.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, PO Box 208042, New Haven, CT 06520-8042 (R.B.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (C.A.Y.); Radiology Imaging Associates/Invision Sally Jobe, Englewood, Colo (L.D.B.); Solis Mammography Greensboro, Greensboro, NC (M.L.B.); Weinstein Imaging Associates, Pittsburgh, Pa (M.B.V.); Elizabeth Wende Breast Care, Rochester, NY (S.D.); Breast Care Atlanta, Atlanta, Ga (P.D.); Cleveland Clinic, Cleveland, Ohio (S.R.G.); Weill Cornell Medicine, New York, NY (J.K.); UT Health San Antonio, San Antonio, Tex (K.A.K.); Boston Biostatistics Research Foundation, Framingham, Mass (P.T.L.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (E.V.M.); Breastlink Temecula Valley, Murrieta, Calif (T.M.P.); Boca Raton Regional Hospital, Boca Raton, Fla (K.J.S.); Virginia Biomedical Laboratories, LLC, Wirtz, Va (F.L.T.); and Department of Radiology, The UT Southwestern Medical Center, Dallas, Tex (B.E.D.)
| | - Erini V Makariou
- From the Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (E.I.N.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, PO Box 208042, New Haven, CT 06520-8042 (R.B.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (C.A.Y.); Radiology Imaging Associates/Invision Sally Jobe, Englewood, Colo (L.D.B.); Solis Mammography Greensboro, Greensboro, NC (M.L.B.); Weinstein Imaging Associates, Pittsburgh, Pa (M.B.V.); Elizabeth Wende Breast Care, Rochester, NY (S.D.); Breast Care Atlanta, Atlanta, Ga (P.D.); Cleveland Clinic, Cleveland, Ohio (S.R.G.); Weill Cornell Medicine, New York, NY (J.K.); UT Health San Antonio, San Antonio, Tex (K.A.K.); Boston Biostatistics Research Foundation, Framingham, Mass (P.T.L.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (E.V.M.); Breastlink Temecula Valley, Murrieta, Calif (T.M.P.); Boca Raton Regional Hospital, Boca Raton, Fla (K.J.S.); Virginia Biomedical Laboratories, LLC, Wirtz, Va (F.L.T.); and Department of Radiology, The UT Southwestern Medical Center, Dallas, Tex (B.E.D.)
| | - Tchaiko M Parris
- From the Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (E.I.N.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, PO Box 208042, New Haven, CT 06520-8042 (R.B.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (C.A.Y.); Radiology Imaging Associates/Invision Sally Jobe, Englewood, Colo (L.D.B.); Solis Mammography Greensboro, Greensboro, NC (M.L.B.); Weinstein Imaging Associates, Pittsburgh, Pa (M.B.V.); Elizabeth Wende Breast Care, Rochester, NY (S.D.); Breast Care Atlanta, Atlanta, Ga (P.D.); Cleveland Clinic, Cleveland, Ohio (S.R.G.); Weill Cornell Medicine, New York, NY (J.K.); UT Health San Antonio, San Antonio, Tex (K.A.K.); Boston Biostatistics Research Foundation, Framingham, Mass (P.T.L.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (E.V.M.); Breastlink Temecula Valley, Murrieta, Calif (T.M.P.); Boca Raton Regional Hospital, Boca Raton, Fla (K.J.S.); Virginia Biomedical Laboratories, LLC, Wirtz, Va (F.L.T.); and Department of Radiology, The UT Southwestern Medical Center, Dallas, Tex (B.E.D.)
| | - Kathy J Schilling
- From the Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (E.I.N.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, PO Box 208042, New Haven, CT 06520-8042 (R.B.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (C.A.Y.); Radiology Imaging Associates/Invision Sally Jobe, Englewood, Colo (L.D.B.); Solis Mammography Greensboro, Greensboro, NC (M.L.B.); Weinstein Imaging Associates, Pittsburgh, Pa (M.B.V.); Elizabeth Wende Breast Care, Rochester, NY (S.D.); Breast Care Atlanta, Atlanta, Ga (P.D.); Cleveland Clinic, Cleveland, Ohio (S.R.G.); Weill Cornell Medicine, New York, NY (J.K.); UT Health San Antonio, San Antonio, Tex (K.A.K.); Boston Biostatistics Research Foundation, Framingham, Mass (P.T.L.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (E.V.M.); Breastlink Temecula Valley, Murrieta, Calif (T.M.P.); Boca Raton Regional Hospital, Boca Raton, Fla (K.J.S.); Virginia Biomedical Laboratories, LLC, Wirtz, Va (F.L.T.); and Department of Radiology, The UT Southwestern Medical Center, Dallas, Tex (B.E.D.)
| | - F Lee Tucker
- From the Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (E.I.N.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, PO Box 208042, New Haven, CT 06520-8042 (R.B.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (C.A.Y.); Radiology Imaging Associates/Invision Sally Jobe, Englewood, Colo (L.D.B.); Solis Mammography Greensboro, Greensboro, NC (M.L.B.); Weinstein Imaging Associates, Pittsburgh, Pa (M.B.V.); Elizabeth Wende Breast Care, Rochester, NY (S.D.); Breast Care Atlanta, Atlanta, Ga (P.D.); Cleveland Clinic, Cleveland, Ohio (S.R.G.); Weill Cornell Medicine, New York, NY (J.K.); UT Health San Antonio, San Antonio, Tex (K.A.K.); Boston Biostatistics Research Foundation, Framingham, Mass (P.T.L.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (E.V.M.); Breastlink Temecula Valley, Murrieta, Calif (T.M.P.); Boca Raton Regional Hospital, Boca Raton, Fla (K.J.S.); Virginia Biomedical Laboratories, LLC, Wirtz, Va (F.L.T.); and Department of Radiology, The UT Southwestern Medical Center, Dallas, Tex (B.E.D.)
| | - Basak E Dogan
- From the Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (E.I.N.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, PO Box 208042, New Haven, CT 06520-8042 (R.B.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (C.A.Y.); Radiology Imaging Associates/Invision Sally Jobe, Englewood, Colo (L.D.B.); Solis Mammography Greensboro, Greensboro, NC (M.L.B.); Weinstein Imaging Associates, Pittsburgh, Pa (M.B.V.); Elizabeth Wende Breast Care, Rochester, NY (S.D.); Breast Care Atlanta, Atlanta, Ga (P.D.); Cleveland Clinic, Cleveland, Ohio (S.R.G.); Weill Cornell Medicine, New York, NY (J.K.); UT Health San Antonio, San Antonio, Tex (K.A.K.); Boston Biostatistics Research Foundation, Framingham, Mass (P.T.L.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (E.V.M.); Breastlink Temecula Valley, Murrieta, Calif (T.M.P.); Boca Raton Regional Hospital, Boca Raton, Fla (K.J.S.); Virginia Biomedical Laboratories, LLC, Wirtz, Va (F.L.T.); and Department of Radiology, The UT Southwestern Medical Center, Dallas, Tex (B.E.D.)
| |
Collapse
|
9
|
Zhi W, Liu G, Chang C, Miao A, Zhu X, Xie L, Zhou J. Predicting Treatment Response of Breast Cancer to Neoadjuvant Chemotherapy Using Ultrasound-Guided Diffuse Optical Tomography. Transl Oncol 2017; 11:56-64. [PMID: 29175630 PMCID: PMC5714257 DOI: 10.1016/j.tranon.2017.10.011] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2017] [Revised: 10/26/2017] [Accepted: 10/30/2017] [Indexed: 10/24/2022] Open
Abstract
PURPOSE To prospectively investigate ultrasound-guided diffuse optical tomography (US-guided DOT) in predicting breast cancer response to neoadjuvant chemotherapy (NAC). MATERIALS AND METHODS Eighty-eight breast cancer patients, with a total of 93 lesions, were included in our study. Pre- and post-last chemotherapy, size and total hemoglobin concentration (THC) of each lesion were measured by conventional US and US-guided DOT 1 day before biopsy (time point t0, THC THC0, SIZE S0) and 1 to 2 days before surgery (time point tL, THCL, SL). The relative changes in THC and SIZE of lesions after the first and last NAC cycles were considered as the variables ΔTHC and ΔSIZE. Receiver operating characteristic curve was performed to calculate ΔTHC and ΔSIZE cutoff values to evaluate pathologic response of 93 breast cancers to NAC, which were then prospectively used to predicate response of 61 breast cancers to NAC. RESULTS The cutoff values of ΔTHC and ΔSIZE for evaluation of breast cancers NAC treatment response were 23.9% and 42.6%. At ΔTHC 23.9%, the predicted treatment response in 61 breast lesions for the time points t1 to t3 was calculated by area under the curve (AUC), which were AUC1 0.534 (P=.6668), AUC2 0.604 (P=.1893), and AUC3 0.674(P =. 0.027), respectively; for ΔSIZE 42.6%, at time points t1 to t3, AUC1 0.505 (P=.9121), AUC2 0.645 (P=.0115), and AUC3 0.719 (P=.0018). CONCLUSION US-guided DOT ΔTHC 23.9% and US ΔSIZE 42.6% can be used for the response evaluation and earlier prediction of the pathological response after three rounds of chemotherapy.
Collapse
Affiliation(s)
- Wenxiang Zhi
- Department of Ultrasonography, Fudan University, Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, No 270, Dong'an Road, Xuhui District, Shanghai, 200032, China
| | - Guangyu Liu
- Department of Breast Surgery, Fudan University, Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, No 270, Dong'an Road, Xuhui District, Shanghai, 200032, China
| | - Cai Chang
- Department of Ultrasonography, Fudan University, Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, No 270, Dong'an Road, Xuhui District, Shanghai, 200032, China.
| | - Aiyu Miao
- Department of Ultrasonography, Fudan University, Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, No 270, Dong'an Road, Xuhui District, Shanghai, 200032, China
| | - Xiaoli Zhu
- Department of Pathology, Fudan University, Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, No 270, Dong'an Road, Xuhui District, Shanghai, 200032, China
| | - Li Xie
- Clinical Statistics Center, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, No 270, Dong'an Road, Xuhui District, Shanghai, 200032, China
| | - Jin Zhou
- Department of Ultrasonography, Fudan University, Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, No 270, Dong'an Road, Xuhui District, Shanghai, 200032, China
| |
Collapse
|
10
|
Zhu Q, Ricci A, Hegde P, Kane M, Cronin E, Merkulov A, Xu Y, Tavakoli B, Tannenbaum S. Assessment of Functional Differences in Malignant and Benign Breast Lesions and Improvement of Diagnostic Accuracy by Using US-guided Diffuse Optical Tomography in Conjunction with Conventional US. Radiology 2016; 280:387-97. [PMID: 26937708 PMCID: PMC4976463 DOI: 10.1148/radiol.2016151097] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Purpose To investigate ultrasonography (US)-guided diffuse optical tomography to distinguish the functional differences of hemoglobin concentrations in a wide range of malignant and benign breast lesions and to improve breast cancer diagnosis in conjunction with conventional US. Materials and Methods The study protocol was approved by the institutional review boards and was HIPAA compliant. Written informed consent was obtained from all patients. Patients (288 women; mean age, 50 years; range, 17-94 years) who underwent US-guided biopsy were imaged with a handheld US and optical probe. The US-imaged lesion was used to guide reconstruction of light absorption maps at four wavelengths, and total hemoglobin (tHb), oxygenated hemoglobin (oxyHb), and deoxygenated hemoglobin (deoxyHb) were computed from the absorption maps. A threshold (80 μmol/L) was chosen on the basis of this study population. Two radiologists retrospectively evaluated US images on the basis of the US Breast Imaging Reporting and Data System lexicon, and a lesion was considered malignant when a score of 4C or 5 was given or a lesion had tHb greater than 80 μmol/L. A two-sample t test was used to calculate significance between groups, and Spearman ρ was computed between hemoglobin parameters and tumor pathologic grades. Results Three tumors were Tis, 37 were T1, 19 were T2-T4 carcinomas, and 233 were benign lesions. The mean maximum tHb, oxyHb, and deoxyHb of Tis-T1 and T2-T4 groups were 89.3 μmol/L ± 20.2 (standard deviation), 65.0 μmol/L ± 20.8, and 33.5 μmol/L ± 11.3, respectively, and 84.7 μmol/L ± 32.8, 57.1 μmol/L ± 19.8, and 34.7 μmol/L ± 18.9, respectively. The corresponding values of benign lesions were 54.1 μmol/L ± 23.5, 38.0 μmol/L ± 17.4, and 25.2 μmol/L ± 13.8, respectively. The mean maximum tHb, oxyHb, and deoxyHb were significantly higher in the malignant groups than the benign group (P <.001, <.001, and .041, respectively). For malignant lesions, the mean maximum tHb moderately correlated with tumor histologic grade and nuclear grade (ρ = 0.283 and 0.315, respectively). The mean maximum oxyHb moderately correlated with tumor nuclear grade (ρ = 0.267). When radiologists' US diagnosis and the tHb were used together, the sensitivity, specificity, positive predictive value, and negative predictive value were 96.6%-100%, 77.3%-83.3%, 52.7%-59.4%, and 99.0%-100%, respectively, for the combined malignant group. Conclusion The tHb and oxyHb correlate with breast cancer pathologic grade and can be used as an adjunct to US to improve sensitivity and negative predictive value in breast cancer diagnosis. (©) RSNA, 2016 Online supplemental material is available for this article.
Collapse
Affiliation(s)
- Quing Zhu
- From the Department of Electrical and Biomedical Engineering (Q.Z.) and Department of Electrical and Computer Engineering (Y.X., B.T.), University of Connecticut, 371 Fairfield Rd, U4157, Storrs, CT 06269; Departments of Pathology (A.R.) and Radiology (E.C.), Hartford Hospital, Hartford, Conn; and Department of Pathology (P.H.), Department of Radiology (M.K., A.M.), and Carole & Ray Neag Comprehensive Cancer Center (S.T.), University of Connecticut Health Center, Farmington, Conn
| | - Andrew Ricci
- From the Department of Electrical and Biomedical Engineering (Q.Z.) and Department of Electrical and Computer Engineering (Y.X., B.T.), University of Connecticut, 371 Fairfield Rd, U4157, Storrs, CT 06269; Departments of Pathology (A.R.) and Radiology (E.C.), Hartford Hospital, Hartford, Conn; and Department of Pathology (P.H.), Department of Radiology (M.K., A.M.), and Carole & Ray Neag Comprehensive Cancer Center (S.T.), University of Connecticut Health Center, Farmington, Conn
| | - Poornima Hegde
- From the Department of Electrical and Biomedical Engineering (Q.Z.) and Department of Electrical and Computer Engineering (Y.X., B.T.), University of Connecticut, 371 Fairfield Rd, U4157, Storrs, CT 06269; Departments of Pathology (A.R.) and Radiology (E.C.), Hartford Hospital, Hartford, Conn; and Department of Pathology (P.H.), Department of Radiology (M.K., A.M.), and Carole & Ray Neag Comprehensive Cancer Center (S.T.), University of Connecticut Health Center, Farmington, Conn
| | - Mark Kane
- From the Department of Electrical and Biomedical Engineering (Q.Z.) and Department of Electrical and Computer Engineering (Y.X., B.T.), University of Connecticut, 371 Fairfield Rd, U4157, Storrs, CT 06269; Departments of Pathology (A.R.) and Radiology (E.C.), Hartford Hospital, Hartford, Conn; and Department of Pathology (P.H.), Department of Radiology (M.K., A.M.), and Carole & Ray Neag Comprehensive Cancer Center (S.T.), University of Connecticut Health Center, Farmington, Conn
| | - Edward Cronin
- From the Department of Electrical and Biomedical Engineering (Q.Z.) and Department of Electrical and Computer Engineering (Y.X., B.T.), University of Connecticut, 371 Fairfield Rd, U4157, Storrs, CT 06269; Departments of Pathology (A.R.) and Radiology (E.C.), Hartford Hospital, Hartford, Conn; and Department of Pathology (P.H.), Department of Radiology (M.K., A.M.), and Carole & Ray Neag Comprehensive Cancer Center (S.T.), University of Connecticut Health Center, Farmington, Conn
| | - Alex Merkulov
- From the Department of Electrical and Biomedical Engineering (Q.Z.) and Department of Electrical and Computer Engineering (Y.X., B.T.), University of Connecticut, 371 Fairfield Rd, U4157, Storrs, CT 06269; Departments of Pathology (A.R.) and Radiology (E.C.), Hartford Hospital, Hartford, Conn; and Department of Pathology (P.H.), Department of Radiology (M.K., A.M.), and Carole & Ray Neag Comprehensive Cancer Center (S.T.), University of Connecticut Health Center, Farmington, Conn
| | - Yan Xu
- From the Department of Electrical and Biomedical Engineering (Q.Z.) and Department of Electrical and Computer Engineering (Y.X., B.T.), University of Connecticut, 371 Fairfield Rd, U4157, Storrs, CT 06269; Departments of Pathology (A.R.) and Radiology (E.C.), Hartford Hospital, Hartford, Conn; and Department of Pathology (P.H.), Department of Radiology (M.K., A.M.), and Carole & Ray Neag Comprehensive Cancer Center (S.T.), University of Connecticut Health Center, Farmington, Conn
| | - Behnoosh Tavakoli
- From the Department of Electrical and Biomedical Engineering (Q.Z.) and Department of Electrical and Computer Engineering (Y.X., B.T.), University of Connecticut, 371 Fairfield Rd, U4157, Storrs, CT 06269; Departments of Pathology (A.R.) and Radiology (E.C.), Hartford Hospital, Hartford, Conn; and Department of Pathology (P.H.), Department of Radiology (M.K., A.M.), and Carole & Ray Neag Comprehensive Cancer Center (S.T.), University of Connecticut Health Center, Farmington, Conn
| | - Susan Tannenbaum
- From the Department of Electrical and Biomedical Engineering (Q.Z.) and Department of Electrical and Computer Engineering (Y.X., B.T.), University of Connecticut, 371 Fairfield Rd, U4157, Storrs, CT 06269; Departments of Pathology (A.R.) and Radiology (E.C.), Hartford Hospital, Hartford, Conn; and Department of Pathology (P.H.), Department of Radiology (M.K., A.M.), and Carole & Ray Neag Comprehensive Cancer Center (S.T.), University of Connecticut Health Center, Farmington, Conn
| |
Collapse
|
11
|
Kim MJ, Su MY, Yu HJ, Chen JH, Kim EK, Moon HJ, Choi JS. US-localized diffuse optical tomography in breast cancer: comparison with pharmacokinetic parameters of DCE-MRI and with pathologic biomarkers. BMC Cancer 2016; 16:50. [PMID: 26833069 PMCID: PMC4736271 DOI: 10.1186/s12885-016-2086-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2015] [Accepted: 01/27/2016] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND To correlate parameters of Ultrasonography-guided Diffuse optical tomography (US-DOT) with pharmacokinetic features of Dynamic contrast-enhanced (DCE)-MRI and pathologic markers of breast cancer. METHODS Our institutional review board approved this retrospective study and waived the requirement for informed consent. Thirty seven breast cancer patients received US-DOT and DCE-MRI with less than two weeks in between imaging sessions. The maximal total hemoglobin concentration (THC) measured by US-DOT was correlated with DCE-MRI pharmacokinetic parameters, which included K(trans), k ep and signal enhancement ratio (SER). These imaging parameters were also correlated with the pathologic biomarkers of breast cancer. RESULTS The parameters THC and SER showed marginal positive correlation (r = 0.303, p = 0.058). Tumors with high histological grade, negative ER, and higher Ki-67 expression ≥ 20% showed statistically higher THC values compared to their counterparts (p = 0.019, 0.041, and 0.023 respectively). Triple-negative (TN) breast cancers showed statistically higher K(trans) values than non-TN cancers (p = 0.048). CONCLUSION THC obtained from US-DOT and K(trans) obtained from DCE-MRI were associated with biomarkers indicative of a higher aggressiveness in breast cancer. Although US-DOT and DCE-MRI both measured the vascular properties of breast cancer, parameters from the two imaging modalities showed a weak association presumably due to their different contrast mechanisms and depth sensitivities.
Collapse
Affiliation(s)
- Min Jung Kim
- Department of Radiology, Breast Cancer Clinic, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, South Korea. .,Department of Radiological Sciences, University of California, Irvine, CA, USA.
| | - Min-Ying Su
- Department of Radiological Sciences, University of California, Irvine, CA, USA.
| | - Hon J Yu
- Department of Radiological Sciences, University of California, Irvine, CA, USA.
| | - Jeon-Hor Chen
- Department of Radiological Sciences, University of California, Irvine, CA, USA. .,Department of Radiology, Eda Hospital and I-Shou University, Kaohsiung, Taiwan.
| | - Eun-Kyung Kim
- Department of Radiology, Breast Cancer Clinic, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, South Korea.
| | - Hee Jung Moon
- Department of Radiology, Breast Cancer Clinic, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, South Korea.
| | - Ji Soo Choi
- Department of Radiology, Breast Cancer Clinic, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, South Korea. .,Department of Radiology, Samsung Medical Center, Seoul, Korea.
| |
Collapse
|
12
|
La Yun B, Kim SM, Jang M, Ahn HS, Lyou CY, Kim MS, Kim SA, Song TK, Yoo Y, Chang JH, Kim Y. Does adding diffuse optical tomography to sonography improve differentiation between benign and malignant breast lesions? Observer performance study. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2015; 34:749-757. [PMID: 25911706 DOI: 10.7863/ultra.34.5.749] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
OBJECTIVES The purpose of this study was to investigate the added value of diffuse optical tomographic categories combined with conventional sonography for differentiating between benign and malignant breast lesions. METHODS In this retrospective database review, we included 145 breast lesions (116 benign and 29 malignant) from 145 women (mean age, 46 years; range, 16-86 years). Five radiologists independently reviewed sonograms with and without a diffuse optical tomographic category. Each lesion was scored on a scale of 0% to 100% for suspicion of malignancy and rated according to the American College of Radiology Breast Imaging Reporting and Data System classification. Diagnostic performance was analyzed by comparing area under receiver operating characteristic curve values. Reader agreement was assessed by intraclass correlation coefficients. RESULTS In the multireader multicase receiver operating characteristic analysis, adding a diffuse optical tomographic category to sonography improved the diagnostic accuracy of sonography (mean areas under the curve, 0.923 for sonography alone and 0.969 for sonography with diffuse optical tomography; P = .039). The interobserver correlation was also improved (0.798 for sonography alone and 0.904 for sonography with diffuse optical tomography). The specificity increased for 4 reviewers from a mean of 19.5% to 45.8% (P < .001 for reviewers 1-4; P = .238 for reviewer 5) with no significant change in the sensitivity. When the diffuse optical tomographic category was applied strictly, the specificity increased for all reviewers from a mean of 19.5% to 68.3% (P < .001 for all reviewers) with no significant change in the sensitivity. CONCLUSIONS The addition of diffuse optical tomographic categories to sonography may improve diagnostic performance and markedly decrease false-positive biopsy recommendations.
Collapse
Affiliation(s)
- Bo La Yun
- Department of Radiology, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (B.L.Y., S.M.K., M.J.); Department of Radiology, Chung-Ang University Hospital, Seoul, Korea (H.S.A.); Total Healthcare Center, Kangbuk Samsung Hospital, Seoul, Korea (C.Y.L.); CHA Gangnam Health Promotion Center, Seoul, Korea (M.S.K.); Department of Radiology, Human Medical Imaging and Intervention Center, Seoul, Korea (S.A.K.); Department of Electronic Engineering and Sogang Institute of Advanced Technology, Sogang University, Seoul, Korea (T.-K.S., Y.Y., J.H.C.); and Department of Radiology, Sungkyunkwan University Samsung Changwon Hospital, Changwon, Korea (Y.K.)
| | - Sun Mi Kim
- Department of Radiology, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (B.L.Y., S.M.K., M.J.); Department of Radiology, Chung-Ang University Hospital, Seoul, Korea (H.S.A.); Total Healthcare Center, Kangbuk Samsung Hospital, Seoul, Korea (C.Y.L.); CHA Gangnam Health Promotion Center, Seoul, Korea (M.S.K.); Department of Radiology, Human Medical Imaging and Intervention Center, Seoul, Korea (S.A.K.); Department of Electronic Engineering and Sogang Institute of Advanced Technology, Sogang University, Seoul, Korea (T.-K.S., Y.Y., J.H.C.); and Department of Radiology, Sungkyunkwan University Samsung Changwon Hospital, Changwon, Korea (Y.K.).
| | - Mijung Jang
- Department of Radiology, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (B.L.Y., S.M.K., M.J.); Department of Radiology, Chung-Ang University Hospital, Seoul, Korea (H.S.A.); Total Healthcare Center, Kangbuk Samsung Hospital, Seoul, Korea (C.Y.L.); CHA Gangnam Health Promotion Center, Seoul, Korea (M.S.K.); Department of Radiology, Human Medical Imaging and Intervention Center, Seoul, Korea (S.A.K.); Department of Electronic Engineering and Sogang Institute of Advanced Technology, Sogang University, Seoul, Korea (T.-K.S., Y.Y., J.H.C.); and Department of Radiology, Sungkyunkwan University Samsung Changwon Hospital, Changwon, Korea (Y.K.)
| | - Hye Shin Ahn
- Department of Radiology, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (B.L.Y., S.M.K., M.J.); Department of Radiology, Chung-Ang University Hospital, Seoul, Korea (H.S.A.); Total Healthcare Center, Kangbuk Samsung Hospital, Seoul, Korea (C.Y.L.); CHA Gangnam Health Promotion Center, Seoul, Korea (M.S.K.); Department of Radiology, Human Medical Imaging and Intervention Center, Seoul, Korea (S.A.K.); Department of Electronic Engineering and Sogang Institute of Advanced Technology, Sogang University, Seoul, Korea (T.-K.S., Y.Y., J.H.C.); and Department of Radiology, Sungkyunkwan University Samsung Changwon Hospital, Changwon, Korea (Y.K.)
| | - Chae Yeon Lyou
- Department of Radiology, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (B.L.Y., S.M.K., M.J.); Department of Radiology, Chung-Ang University Hospital, Seoul, Korea (H.S.A.); Total Healthcare Center, Kangbuk Samsung Hospital, Seoul, Korea (C.Y.L.); CHA Gangnam Health Promotion Center, Seoul, Korea (M.S.K.); Department of Radiology, Human Medical Imaging and Intervention Center, Seoul, Korea (S.A.K.); Department of Electronic Engineering and Sogang Institute of Advanced Technology, Sogang University, Seoul, Korea (T.-K.S., Y.Y., J.H.C.); and Department of Radiology, Sungkyunkwan University Samsung Changwon Hospital, Changwon, Korea (Y.K.)
| | - Mi Sun Kim
- Department of Radiology, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (B.L.Y., S.M.K., M.J.); Department of Radiology, Chung-Ang University Hospital, Seoul, Korea (H.S.A.); Total Healthcare Center, Kangbuk Samsung Hospital, Seoul, Korea (C.Y.L.); CHA Gangnam Health Promotion Center, Seoul, Korea (M.S.K.); Department of Radiology, Human Medical Imaging and Intervention Center, Seoul, Korea (S.A.K.); Department of Electronic Engineering and Sogang Institute of Advanced Technology, Sogang University, Seoul, Korea (T.-K.S., Y.Y., J.H.C.); and Department of Radiology, Sungkyunkwan University Samsung Changwon Hospital, Changwon, Korea (Y.K.)
| | - Sun Ah Kim
- Department of Radiology, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (B.L.Y., S.M.K., M.J.); Department of Radiology, Chung-Ang University Hospital, Seoul, Korea (H.S.A.); Total Healthcare Center, Kangbuk Samsung Hospital, Seoul, Korea (C.Y.L.); CHA Gangnam Health Promotion Center, Seoul, Korea (M.S.K.); Department of Radiology, Human Medical Imaging and Intervention Center, Seoul, Korea (S.A.K.); Department of Electronic Engineering and Sogang Institute of Advanced Technology, Sogang University, Seoul, Korea (T.-K.S., Y.Y., J.H.C.); and Department of Radiology, Sungkyunkwan University Samsung Changwon Hospital, Changwon, Korea (Y.K.)
| | - Tai-Kyong Song
- Department of Radiology, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (B.L.Y., S.M.K., M.J.); Department of Radiology, Chung-Ang University Hospital, Seoul, Korea (H.S.A.); Total Healthcare Center, Kangbuk Samsung Hospital, Seoul, Korea (C.Y.L.); CHA Gangnam Health Promotion Center, Seoul, Korea (M.S.K.); Department of Radiology, Human Medical Imaging and Intervention Center, Seoul, Korea (S.A.K.); Department of Electronic Engineering and Sogang Institute of Advanced Technology, Sogang University, Seoul, Korea (T.-K.S., Y.Y., J.H.C.); and Department of Radiology, Sungkyunkwan University Samsung Changwon Hospital, Changwon, Korea (Y.K.)
| | - Yangmo Yoo
- Department of Radiology, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (B.L.Y., S.M.K., M.J.); Department of Radiology, Chung-Ang University Hospital, Seoul, Korea (H.S.A.); Total Healthcare Center, Kangbuk Samsung Hospital, Seoul, Korea (C.Y.L.); CHA Gangnam Health Promotion Center, Seoul, Korea (M.S.K.); Department of Radiology, Human Medical Imaging and Intervention Center, Seoul, Korea (S.A.K.); Department of Electronic Engineering and Sogang Institute of Advanced Technology, Sogang University, Seoul, Korea (T.-K.S., Y.Y., J.H.C.); and Department of Radiology, Sungkyunkwan University Samsung Changwon Hospital, Changwon, Korea (Y.K.)
| | - Jin Ho Chang
- Department of Radiology, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (B.L.Y., S.M.K., M.J.); Department of Radiology, Chung-Ang University Hospital, Seoul, Korea (H.S.A.); Total Healthcare Center, Kangbuk Samsung Hospital, Seoul, Korea (C.Y.L.); CHA Gangnam Health Promotion Center, Seoul, Korea (M.S.K.); Department of Radiology, Human Medical Imaging and Intervention Center, Seoul, Korea (S.A.K.); Department of Electronic Engineering and Sogang Institute of Advanced Technology, Sogang University, Seoul, Korea (T.-K.S., Y.Y., J.H.C.); and Department of Radiology, Sungkyunkwan University Samsung Changwon Hospital, Changwon, Korea (Y.K.)
| | - Youngmi Kim
- Department of Radiology, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (B.L.Y., S.M.K., M.J.); Department of Radiology, Chung-Ang University Hospital, Seoul, Korea (H.S.A.); Total Healthcare Center, Kangbuk Samsung Hospital, Seoul, Korea (C.Y.L.); CHA Gangnam Health Promotion Center, Seoul, Korea (M.S.K.); Department of Radiology, Human Medical Imaging and Intervention Center, Seoul, Korea (S.A.K.); Department of Electronic Engineering and Sogang Institute of Advanced Technology, Sogang University, Seoul, Korea (T.-K.S., Y.Y., J.H.C.); and Department of Radiology, Sungkyunkwan University Samsung Changwon Hospital, Changwon, Korea (Y.K.)
| |
Collapse
|
13
|
Xiao M, Jiang Y, Zhu Q, You S, Li J, Wang H, Lai X, Zhang J, Liu H, Zhang J. Diffuse optical tomography of breast carcinoma: can tumor total hemoglobin concentration be considered as a new promising prognostic parameter of breast carcinoma? Acad Radiol 2015; 22:439-46. [PMID: 25753593 DOI: 10.1016/j.acra.2014.12.012] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2014] [Revised: 10/03/2014] [Accepted: 12/09/2014] [Indexed: 10/23/2022]
Abstract
RATIONALE AND OBJECTIVES Diffuse optical tomography (DOT) is an emerging functional modality, which can reflect tumor metabolic activity and angiogenesis. The purpose of this exploratory study was to correlate the total hemoglobin concentration (THC) measured by noninvasive DOT with prognostic factors in breast carcinomas. MATERIALS AND METHODS We prospectively imaged 251 breast carcinomas in 229 consecutive women (mean age, 51.18 ± 12.32 years) using DOT from 2007 to 2010. Tumor angiogenesis and metabolic activity were assessed based on quantitatively measured THC. The THC was correlated with prognostic factors, including tumor size, histopathologic classification, histologic grade, estrogen receptor (ER), progesterone receptor (PR), c-erbB-2, and p53. RESULTS In univariate analysis, THC was significantly correlated with the following prognostic factors: tumor size (P < .001), histologic grade (P < .001), ER (P < .05), PR (P < .001), and c-erbB-2 (P < .05). THC was not associated with histopathologic classification (P = .170) or p53 (P = .463). On the basis of a stepwise multiple regression analysis, THC of invasive ductal carcinoma was significantly correlated with tumor size (P < .001), histologic grade (P < .001), and PR (P < .05). CONCLUSIONS THC was associated with prognostic factors of breast carcinoma. THC may be considered as a new prognostic parameter of breast carcinoma and a prediction of tumor behavior and biological activity.
Collapse
|
14
|
Schaafsma BE, van de Giessen M, Charehbili A, Smit VTHBM, Kroep JR, Lelieveldt BPF, Liefers GJ, Chan A, Löwik CWGM, Dijkstra J, van de Velde CJH, Wasser MNJM, Vahrmeijer AL. Optical mammography using diffuse optical spectroscopy for monitoring tumor response to neoadjuvant chemotherapy in women with locally advanced breast cancer. Clin Cancer Res 2014; 21:577-84. [PMID: 25473002 DOI: 10.1158/1078-0432.ccr-14-0736] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
PURPOSE Diffuse optical spectroscopy (DOS) has the potential to enable monitoring of tumor response during chemotherapy, particularly in the early stages of treatment. This study aims to assess feasibility of DOS for monitoring treatment response in HER2-negative breast cancer patients receiving neoadjuvant chemotherapy (NAC) and compare DOS with tumor response assessment by MRI. EXPERIMENTAL DESIGN Patients received NAC in six cycles of 3 weeks. In addition to standard treatment monitoring by dynamic contrast enhanced MRI (DCE-MRI), DOS scans were acquired after the first, third, and last cycle of chemotherapy. The primary goal was to assess feasibility of DOS for early assessment of tumor response. The predictive value of DOS and DCE-MRI compared with pathologic response was assessed. RESULTS Of the 22 patients, 18 patients had a partial or complete tumor response at pathologic examination, whereas 4 patients were nonresponders. As early as after the first chemotherapy cycle, a significant difference between responders and nonresponders was found using DOS (HbO2 86% ± 25 vs. 136% ± 25, P = 0.023). The differences between responders and nonresponders continued during treatment (halfway treatment, HbO2 68% ± 22 vs. 110% ± 10, P = 0.010). Using DCE-MRI, a difference between responders and nonresponders was found halfway treatment (P = 0.005) using tumor volume measurement calculations. CONCLUSIONS DOS allows for tumor response assessment and is able to differentiate between responders and nonresponders after the first chemotherapy cycle and halfway treatment. In this study, DOS was equally effective in predicting tumor response halfway treatment compared with DCE-MRI. Therefore, DOS may be used as a novel imaging modality for (early) treatment monitoring of NAC.
Collapse
Affiliation(s)
| | | | - Ayoub Charehbili
- Department of Surgery, Leiden University Medical Center, Leiden, the Netherlands. Department of Clinical Oncology, Leiden University Medical Center, Leiden, the Netherlands
| | - Vincent T H B M Smit
- Department of Pathology, Leiden University Medical Center, Leiden, the Netherlands
| | - Judith R Kroep
- Department of Clinical Oncology, Leiden University Medical Center, Leiden, the Netherlands
| | | | - Gerrit-Jan Liefers
- Department of Surgery, Leiden University Medical Center, Leiden, the Netherlands
| | - Alan Chan
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands. Percuros B.V., Enschede, the Netherlands
| | - Clemens W G M Löwik
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Jouke Dijkstra
- Division of Image Processing, Leiden University Medical Center, Leiden, the Netherlands
| | | | - Martin N J M Wasser
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | | |
Collapse
|
15
|
Lv N, He N, Wu Y, Xie C, Wang Y, Kong Y, Wei W, Wu P. Effect of vascular haemoglobin concentrations on ultrasound-guided diffuse optical tomography in differentiating benign from malignant breast lesions. Eur Radiol 2014; 24:2848-56. [PMID: 25097131 DOI: 10.1007/s00330-014-3356-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2014] [Revised: 06/28/2014] [Accepted: 07/17/2014] [Indexed: 11/29/2022]
Abstract
OBJECTIVES Ultrasound-guided diffuse optical tomography (US-DOT) can potentially detect breast carcinomas by measuring total tumour haemoglobin concentrations (TTHC). The purpose of this study was to evaluate whether vascular haemoglobin concentrations (VHC) affect the ability of US-DOT to distinguish breast carcinomas from benign. MATERIALS AND METHODS In 85 women (97 palpable lesions) referred for core breast biopsy, we measured VHC with a complete blood count and calculated TTHCs for each lesion with US-DOT. Anaemia was defined as a VHC less than 120.0 g/L. RESULTS Mean TTHCs were significantly higher in malignant lesions (n = 53) than in benign lesions (n = 44), regardless of whether the lesions were from women with anaemia (TTHC, 248.5 vs. 123.3 μmol/L; P = 0.001) or from those without (TTHC, 229.7 vs. 173.9 μmol/L; P = 0.016). A cut-off TTHC of 155.1 μmol/L provided 81.3 % sensitivity, 81.8 % specificity and 81.5 % accuracy for detecting malignant tumours in women with anaemia and 78.4 % sensitivity, 54.5 % specificity and 67.1 % accuracy for women without. There was no significant difference in sensitivity (P = 0.813), specificity (P = 0.108) and accuracy (P = 0.162) between the anaemic group and the non-anaemic group. CONCLUSIONS Vascular haemoglobin concentrations did not affect the ability of US-DOT to differentiate breast carcinomas from benign lesions. KEY POINTS • US-DOT can differentiate benign from malignant breast lesions by measuring TTHC. • No difference in TTHC between the anaemia and non-anaemia group. • Vascular haemoglobin concentrations do not affect the diagnostic ability of US-DOT.
Collapse
Affiliation(s)
- Ning Lv
- Department of Medical Imaging and Interventional Radiology, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, Guangdong, 510060, People's Republic of China
| | | | | | | | | | | | | | | |
Collapse
|