Diagnosing benign and malignant lesions in breast tissue sections by using IR-microspectroscopy

The collection of IR spectra through microscope optics and the visualization of the IR data by IR imaging represent a visualization approach, which uses infrared spectral features as a native intrinsic contrast mechanism. To illustrate the potential of this spectroscopic methodology in breast cancer research, we have acquired IR-microspectroscopic data from benign and malignant lesions in breast tissue sections by point microscopy with spot sizes of 30-40 μm. Four classes of distinct breast tissue spectra were defined and stored in the data base: fibroadenoma (a total of 1175 spectra from 14 patients), ductal carcinoma in situ (a total of 1349 spectra from 8 patients), connective tissue (a total of 464 spectra), and adipose tissue (a total of 146 spectra). Artifical neural network analysis, a supervised pattern recognition method, was used to develop an automated classifier to separate the four classes. After training the artifical neural network classifier, infrared spectra of independent external validation data sets (“unknown spectra”) were analyzed. In this way, all spectra (a total of 386) taken from micro areas inside the epithelium of fibroadenomas from 4 patients were correctly classified. Out of the 421 spectra taken from micro areas of the in situ component of invasive ductal carcinomas of 3 patients, 93% were correctly identified. Based on these results, the potential of the IR-microspectroscopic approach for diagnosing breast tissue lesions is discussed.     

Identification of MMP-1 as a putative breast cancer predictive marker by global gene expression analysis

Breast cancer is the second leading cause of cancer death for women in the United States. In 2005, about 215,000 cases of invasive breast cancer (IBC) and 50,000 cases of ductal carcinoma in situ will be diagnosed and 40,000 women will die of IBC in the US. Yet there is presently no molecular marker that can be used to detect a precancerous state or identify which premalignant lesions will develop into invasive breast cancer. Here we report the gene expression analysis of atypical ductal hyperplastic tissues from patients with and without a history of breast cancer. We identify MMP-1 as a candidate marker that may be useful for identification of breast lesions that can develop into cancer.     

Artificial neural network based identification of Campylobacter species by Fourier transform infrared spectroscopy

Two prototypes of artificial neural network (ANN), multilayer perceptron (MLP), and probabilistic neural network (PNN), were used to analyze infrared (IR) spectral data obtained from intact cells belonging to the species Campylobacter coli and Campylobacter jejuni. In order to establish a consistent identification and typing procedure, mid infrared spectra of these species were obtained by means of a Fourier transform infrared (FT-IR) spectroscope. FT-IR patterns belonging to 26 isolates subclassified into 4 genotypes were pre-processed (normalized, smoothed and derivatized) and grouped into training, verification and test sets. The two architectures tested (PNN, MLP) were developed and trained to identify or leave unassigned a number of IR patterns. Two window ranges (w(4), 1200 to 900 cm(-1); and w(5), 900 to 700 cm(-1)) in the mid IR spectrum were presented as input to the ANN models functioning as pattern recognition systems. No matter the ANN used all the training sets were correctly identified at subspecies level. For the test set, the four-layer MLP network was found to be specially suitable to recognize FT-IR data since it correctly identified 99.16% of unknowns using the w(4) range, and was fully successful in detecting atypical patterns from closely related Campylobacter strains and other bacterial species. The PNN network obtained lower percentages in assignation and rejection. Overall, ANNs constitute an excellent mathematical tool in microbial identification, since they are able to recognize with a high degree of confidence typical as well as atypical FT-IR fingerprints from Campylobacter spp.     

Use of specimen mammography-guided FNA (fine-needle aspirates) for flow cytometric multiple marker analysis and immunophenotyping in breast cancer

A pilot study of a novel translational research method to simultaneously assay multiple molecular markers and DNA in fine-needle aspirates (FNA) of mammographically detected breast lesions is described. Specimen mammography-guided 20-gauge FNAs obtained from 86 lesions and 22 areas of normal tissue were analyzed by multiparameter flow cytometry for DNA content, her2/neu, transforming growth factor alpha (TGF alpha), and the epithelial marker cytokeratin (CK) simultaneously. Epithelial cell her2/neu positivity was detected in 12 of 44 (27%) of invasive ductal carcinomas and 3 of 9 (33%) ductal carcinoma in situ (DCIS), 10 of 30 (33%) benign lesions, and 4 of 22 (18%) normal tissue aspirates. All lesions and normal tissue showed a similar positive rate for TGFalpha ranging from 61 to 76%. The CK(+)TGF alpha(-)her2/neu(+) immunophenotype was more frequently positive in aneuploid tumors (22%) than all other lesions (7%) (P < 0.05). Specimen mammography-guided FNAs provide fresh cells for flow cytometric multiple marker analysis and immunophenotyping of clinically occult breast lesions and normal tissue.     

Stereotaxic fine needle aspiration cytology of clinically occult malignant and premalignant breast lesions

Stereotaxic fine needle aspiration (FNA) cytology was used to study clinically occult (nonpalpable) breast lesions in 114 consecutive patients with mammographically suspicious findings prior to excisional biopsy. The aspirate contained insufficient material for cytologic evaluation in 15 cases (13.2%), which were histologically diagnosed as benign (7 cases), atypical hyperplasia (7 cases) or carcinoma in situ (1 case). The cytologic findings indicated a benign lesion in 77 cases (67.5%), which were histologically diagnosed as benign (71 cases) or atypical ductal hyperplasia (6 cases). The cytologic sample showed atypia in eight cases (7.0%), which were histologically diagnosed as severe atypical ductal hyperplasia (three cases), carcinoma in situ (one case) or proliferative fibrocystic disease (four cases). In the eight cases (7.0%) cytologically interpreted as probably malignant, histology confirmed six invasive carcinomas, one carcinoma in situ and one fibrocystic disease. Of six cases (4.4%) cytologically reported as malignant, five were histologically diagnosed as invasive carcinoma and one as carcinoma in situ. Overall, stereotaxic FNA cytology reported as malignant or probably malignant 14 of the 15 cases with a histologic confirmation of malignancy, for a sensitivity of 93.3%. Cytology correctly identified 78 of the 83 histologically negative cases, for a specificity of 94.0%. The 16 cases histologically diagnosed as ductal hyperplasia, which carries a high risk for subsequent malignancy, were studied in detail in an effort to define histologic and cytologic criteria for this entity. Using selected histologic criteria, 11 of these cases were graded as showing mild-to-moderate atypical hyperplasia and 5 as showing severe atypical hyperplasia. Three of the latter cases were similarly identified by an analogous cytologic grading; the other two cases had insufficient cytologic samples. The total results in this series of 114 cases support the use of stereotaxic FNA cytology in the diagnosis of these nonpalpable breast lesions, examples of which are illustrated. In particular, it may help to raise the low specificity yielded by mammography alone, which would represent a significant advance for the patient in terms of the accuracy, expediency and reduced cost of diagnosing these lesions.     

Recurrence following treatment of ductal carcinoma in situ with skin-sparing mastectomy and immediate breast reconstruction

Skin-sparing mastectomy with immediate breast reconstruction can provide an excellent cosmetic result. Despite its increasing popularity, few studies have assessed the risk of recurrence when the procedure is used for the treatment of ductal carcinoma in situ. To evaluate the oncologic safety of skin-sparing mastectomy used for the treatment of ductal carcinoma in situ, the recurrence rate was analyzed. Patients with ductal carcinoma in situ or invasive carcinoma or both who underwent skin-sparing mastectomy with immediate breast reconstruction between 1985 and 1994 and had a follow-up period of at least 6 years were included in this retrospective analysis. The recurrence rates were determined for invasive carcinoma (with or without foci of ductal carcinoma in situ) and ductal carcinoma in situ alone. A total of 221 patients were included, 177 patients with invasive carcinoma and 44 patients with ductal carcinoma in situ alone. The immediate breast reconstructions were performed with transverse rectus abdominis muscle (TRAM) flaps in 62 percent of patients, implants in 34 percent of patients, and latissimus dorsi myocutaneous flaps (with or without implants) in 4 percent of patients. The local recurrence rate was zero of 44 for patients with ductal carcinoma in situ and 5.6 percent (10 of 177) for patients with invasive carcinoma during a mean follow-up period of 9.8 years. There was a 6.8 percent (12 of 177) metastatic recurrence rate in the invasive carcinoma group. All recurrences were invasive ductal carcinoma. Of the patients with ductal carcinoma in situ alone, none developed metastatic disease. The combined metastatic and local recurrence rates for the invasive carcinoma group (n = 177) with each type of reconstruction were 13 percent (14 of 110), 12 percent (seven of 60), and 14 percent (one of seven) for TRAM flaps, implants, and latissimus dorsi flaps, respectively. The risk of recurrence following skin-sparing mastectomy and immediate breast reconstruction for ductal carcinoma in situ is low during this follow-up period. Therefore, skin-sparing mastectomy with immediate breast reconstruction seems to be a safe oncologic treatment option for ductal carcinoma in situ; however, a longer follow-up period is important to determine the long-term risk of recurrence.     

Infrared spectroscopy with multivariate analysis potentially facilitates the segregation of different types of prostate cell

The prostate gland is conventionally divided into zones or regions. This morphology is of clinical significance as prostate cancer (CaP) occurs mainly in the peripheral zone (PZ). We obtained tissue sets consisting of paraffin-embedded blocks of cancer-free transition zone (TZ) and PZ and adjacent CaP from patients (n = 6) who had undergone radical retropubic prostatectomy; a seventh tissue set of snap-frozen PZ and TZ was obtained from a CaP-free gland removed after radical cystoprostatectomy. Paraffin-embedded tissue slices were sectioned (10-mum thick) and mounted on suitable windows to facilitate infrared (IR) spectra acquisition before being dewaxed and air dried; cryosections were dessicated on BaF(2) windows. Spectra were collected employing synchrotron Fourier-transform infrared (FTIR) microspectroscopy in transmission mode or attenuated total reflection-FTIR (ATR) spectroscopy. Epithelial cell and stromal IR spectra were subjected to principal component analysis to determine whether wavenumber-absorbance relationships expressed as single points in "hyperspace" might on the basis of multivariate distance reveal biophysical differences between cells in situ in different tissue regions. After spectroscopic analysis, plotted clusters and their loadings curves highlighted marked variation in the spectral region containing DNA/RNA bands ( approximately 1490-1000 cm(-1)). By interrogating the intrinsic dimensionality of IR spectra in this small cohort sample, we found that TZ epithelial cells appeared to align more closely with those of CaP while exhibiting marked structural differences compared to PZ epithelium. IR spectra of PZ stroma also suggested that these cells are structurally more different to CaP than those located in the TZ. Because the PZ exhibits a higher occurrence of CaP, other factors (e.g., hormone exposure) may modulate the growth kinetics of initiated epithelial cells in this region. The results of this pilot study surprisingly indicate that TZ epithelial cells are more likely to exhibit what may be a susceptibility-to-adenocarcinoma spectral signature. Thus, IR spectroscopy on its own may not be sufficient to identify premalignant prostate epithelial cells most likely to progress to CaP.     

乳腺内不可触及病灶的定位活检应用价值

目的:探讨乳腺内不可触及病灶(NPBL)的定位活检技术及其在乳腺癌早期诊断中的临床应用价值。方法:对彩超发现的4459个和钼靶发现的25个NPBL分别行麦默通旋切和钩丝定位活检,确定病灶的病理类型。结果:4459个NPBL中3196个病灶为乳腺腺病或伴纤维腺瘤样结节(71.7%),1198个为纤维腺瘤(26.9%),11个为分叶状肿瘤(0.2%),17个为导管内乳头状瘤(0.4%),9个为乳腺导管原位癌,5个为导管原位癌伴微浸润,23个为浸润性癌(恶性占0.8%)。25个钼靶发现的NPBL中乳腺腺病13例(52%),导管原位癌7例,导管原位癌伴微浸润2例,浸润性癌3例(恶性占48%)。结论:超声引导下麦默通和钼靶引导下钩丝定位切除可以对NPBL做出定性诊断,具备创伤小、手术时间短和定位精准等特点,对提高乳腺癌的早期诊断率、降低死亡率具有一定的临床应用价值。     

Mid-IR microspectroscopic imaging of breast tumor tissue sections

IR microspectroscopic imaging is a relatively new approach for the examination of tissue sections. In contrast to standard light microscopy based procedures, the IR approach requires neither sample staining nor fixation. The IR spectra of breast tumor tissue sections are obtained via a microscope equipped with a focal plane array detector. This enabled the simultaneous collection of individual mid-IR spectra from thousands of different sample positions with a spatial resolution near the diffraction limit. The analysis of the IR data reveals a high sensitivity of the IR approach toward changes in tissue biochemistry and variations in breast tissue architecture. Moreover, the data demonstrate the need for collecting spectra with high spatial resolution at the level of individual cells. This minimizes problems associated with tissue microheterogeneity and is an essential prerequisite for future studies aimed at developing IR microspectroscopic imaging as a complement to present diagnostic tools for breast cancer.     

Consistent lack of CD34-positive stromal cells in the stroma of malignant breast lesions

To examine the distribution of CD34-positive and ASMA-positive stromal cells in various breast lesions, we performed immunohistochemical assays (using a streptavidin-biotin immunoperoxidase technique) of tissue specimens, obtained by excisional biopsy and partial or total mastectomy, from 62 patients with breast lesions. Specimens were obtained from 64 lesions as follows: fibrocystic disease (n=12), intraductal papilloma (n=4), fibroadenoma (n=17), invasive lobular carcinoma (n=6), invasive ductal carcinoma (n=20) and invasive micropapillary carcinoma (n=5). In normal breast tissue (controls), CD34-positive spindle cells were abundant in the intralobular stroma, but no ASMA-positive stromal cells were identified except myoepithelial cells. Small to large numbers of CD34-positive cells were observed in the stroma of 29 of 33 benign diseases. In all invasive carcinomas (lobular, ductal and micropapillary), no CD34-positive stromal cells were observed in the stroma. In the stroma of benign lesions, the number of ASMA-positive stromal cells was various, but the stroma of all invasive breast cancers contained ASMA-positive stromal cells. The present results indicate that disappearance of CD34-positive stromal cells consistently occurs in the stroma of invasive carcinoma of the breast, irrespective of histological type and may be associated with the presence of ASMA-positive stromal cells.     

Malignancy-associated changes in breast tissue detected by image cytometry.

In several tissues, nuclear differences have been described in normal-appearing cells from patients with invasive carcinomas compared to cases without invasive carcinoma, a phenomenon known as malignancy-associated changes (MACs). The aim of this study was to determine the presence of malignancy-associated changes in breast tissue. Image cytometry was performed on Feulgen stained tissue sections of patients with usual ductal hyperplasia with (n = 30) or without (n = 41) adjacent invasive breast carcinoma. Nuclear features of normal-appearing cells as well as of usual ductal hyperplastic cells were separately compared between the two groups. Many features of normal-appearing epithelial cells were significantly different between cases with and without invasive cancer. Significant differences were also found by measuring ductal hyperplastic nuclei instead of normal-appearing nuclei. Cases with or without cancer could be distinguished with a classification accuracy of 80% by discriminant analysis using 2 nuclear features derived from ductal hyperplastic cells. In conclusion, image cytometry on breast tissue sections shows that malignancy-associated changes can be found in normal as well as in usual ductal hyperplastic breast cells. This could be clinically relevant for the detection of occult breast cancer, for the prediction of risk in these lesions, and to monitor the effect of chemopreventive agents.     

Classification of HER2/neu status in gastric cancer using a breast-cancer derived proteome classifier

HER2-testing in breast and gastric cancers is mandatory for the treatment with trastuzumab. We hypothesized that imaging mass spectrometry (IMS) of breast cancers may be useful for generating a classifier that may determine HER2-status in other cancer entities irrespective of primary tumor site. A total of 107 breast (n = 48) and gastric (n = 59) cryo tissue samples was analyzed by IMS (HER2 was present in 29 cases). The obtained proteomic profiles were used to create HER2 prediction models using different classification algorithms. A breast cancer proteome derived classifier, with HER2 present in 15 cases, correctly predicted HER2-status in gastric cancers with a sensitivity of 65% and a specificity of 92%. To create a universal classifier for HER2-status, breast and nonbreast cancer samples were combined, which increased sensitivity to 78%, and specificity was 88%. Our proof of principle study provides evidence that HER2-status can be identified on a proteomic level across different cancer types suggesting that HER2 overexpression may constitute a unique molecular event independent of the tumor site. Furthermore, these results indicate that IMS may be useful for the determination of potential drugable targets, as it offers a quicker, cheaper, and more objective analysis than the standard HER2-testing procedures immunohistochemistry and fluorescence in situ hybridization.     

CD44及CD24在乳腺癌组织中的表达及与临床病理特征的关系研究

目的:探讨肿瘤标志因子CD44及CD24在乳腺癌组织中的表达及与临床病理特征的关系。方法:选择从2015年1月到2017年1月在我院接受手术治疗的乳腺癌患者80例纳入本次研究,另选同期在我院治疗的导管原位癌患者30例,小叶增生患者20例及导管单纯增生患者20例的组织提取标本进行对照,分析CD44及CD24在乳腺癌组织和不同病变类型中的表达,并分析CD44~+/CD24~-细胞在癌症免疫分型中的表达以及CD44~+/CD24~-细胞与乳腺浸润导管癌相关病理特征的关系。结果:乳腺癌组织内的CD44阳性率为52.50%,CD24的阳性率为57.50%,均显著高于癌旁组织的11.25%和15.00%,差异均有统计学意义(均P0.05)。CD44及CD24在导管原位癌及乳腺浸润导管癌中的阳性率高于小叶增生和导管单纯增生,导管原位癌的阳性率高于乳腺浸润导管癌,差异均有统计学意义(均P0.05),且CD44在乳腺浸润导管癌不同分化类型中的阳性率差异有统计学意义(P0.05)。CD24在乳腺浸润导管癌不同分化类型中的阳性率差异不显著(P0.05)。CD44~+/CD24~-细胞在不同癌症免疫分型以及不同分化中的阳性率比较差异均有统计学意义(P0.05)。CD44~+/CD24~-细胞与乳腺浸润导管癌患者的年龄、月经状态、肿瘤直径、淋巴结转移以及远处转移之间均无明显关系(均P0.05)。结论:CD44及CD24在乳腺癌组织内存在较高的阳性率,且CD44~+/CD24~-在乳腺原位癌及低分化的乳腺癌组织内具有更高的阳性率,临床上可尝试通过监测CD44~+/CD24~-的阳性表达情况评价患者的病情及预后。     

Antigen-driven oligoclonal expansion of tumor-infiltrating B cells in infiltrating ductal carcinoma of the breast

The objective of this study was to determine whether tumor-infiltrating B cells (TIL-B) of infiltrating ductal carcinoma (IDC) of the breast represent a tumor-specific humoral immune response. Immunohistochemical analysis of three Her-2/neu-negative IDC tumors from geriatric patients showed that TIL-B cluster in structures similar to germinal centers containing CD20(+) B lymphocyte and CD3(+) T lymphocyte zones with interdigitating CD21(+) follicular dendritic cells, suggesting an in situ immune response. A total of 29, 31, and 58 IgG1 H chain clones was sequenced from the three IDC tumors, respectively. Intratumoral oligoclonal expansion of TIL-B was demonstrated by a preponderance (45-68%) of clonal B cells. In contrast, only 7% of tumor-draining lymph node and 0% of healthy donor PBL IgG H chains were clonal, consistent with the larger repertoires of node and peripheral populations. Patterns and levels of TIL-B IgG H chain somatic hypermutation suggested affinity maturation in intratumoral germinal centers. To examine the specificity of TIL-B Ig, a phage-displayed Fab library was generated from the TIL-B of one IDC tumor. Panning with an allogeneic breast cancer cell line enriched Fab binding to breast cancer cells, but not nonmalignant cell lines tested. However, panning with autologous tumor tissue lysate increased binding of Fab to both tumor tissue lysate and healthy breast tissue lysate. These data suggest an in situ Ag-driven oligoclonal B cell response to a variety of tumor- and breast-associated Ags.     

AgNOR analysis of atypical ductal hyperplasia and intraductal carcinoma of the breast

OBJECTIVE: To determine the diagnostic and prognostic value of argyrophilic nucleolar organizer regions (AgNORs) in atypical ductal hyperplasia (ADH), ductal carcinoma in situ (DCIS) and microinvasive ductal carcinoma (MDCA) of the breast. STUDY DESIGN: Image analysis of histologic sections from biopsies of 46 breast ADH and DCIS and 18 cases of MDCA. Determination of morphometric features of cell nuclei and nucleolar organizer regions by using AMBA software system. Data were compared with the estrogen receptor/progesterone receptor (ER/PR) content as well as with the growth fraction, determined immunohistochemically. RESULTS: AgNOR number and total AgNOR area increased from ADH to DCIS. The highest values were recorded in cases of DCIS with microinvasion. Differences between ADH and intraductal or microinvasive ductal carcinoma were statistically significant. Within the group of intraductal carcinomas, the lowest values were measured in the solid type and highest values in the comedo type. A correlation was found between AgNOR features and growth fraction but not between these features and ER/PR status. CONCLUSION: Selected AgNOR features are relevant for differentiation between ADH and DCIS as well as between low and high grade DCIS and microinvasive ductal carcinoma. Therefore, objective and reproducible data obtained by AgNOR analysis may allow better evaluation of the prognostic significance of these lesions.     

Identifying variables responsible for clustering in discriminant analysis of data from infrared microspectroscopy of a biological sample.

In the biomedical field, infrared (IR) spectroscopic studies can involve the processing of data derived from many samples, divided into classes such as category of tissue (e.g., normal or cancerous) or patient identity. We require reliable methods to identify the class-specific information on which of the wavenumbers, representing various molecular groups, are responsible for observed class groupings. Employing a prostate tissue sample divided into three regions (transition zone, peripheral zone, and adjacent adenocarcinoma), and interrogated using synchrotron Fourier-transform IR microspectroscopy, we compared two statistical methods: (a) a new "cluster vector" version of principal component analysis (PCA) in which the dimensions of the dataset are reduced, followed by linear discriminant analysis (LDA) to reveal clusters, through each of which a vector is constructed that identifies the contributory wavenumbers; and (b) stepwise LDA, which exploits the fact that spectral peaks which identify certain chemical bonds extend over several wavenumbers, and which following classification via either one or two wavenumbers, checks whether the resulting predictions are stable across a range of nearby wavenumbers. Stepwise LDA is the simpler of the two methods; the cluster vector approach can indicate which of the different classes of spectra exhibit the significant differences in signal seen at the "prominent" wavenumbers identified. In situations where IR spectra are found to separate into classes, the excellent agreement between the two quite different methods points to what will prove to be a new and reliable approach to establishing which molecular groups are responsible for such separation.     

Infrared spectroscopic analysis of tumor pathology

Infrared spectra of normal and malignant breast tissues were measured in the 600 cm(-1) to 4000 cm(-1) region. The measured spectroscopic features which are the spectroscopic fingerprints of the tissues contain the vital information about the malignant and normal tissues. Fourier Transform Infrared (FTIR) data on 25 cases of infiterating ductal carcinoma of breast with different grades of malignancy from patients of different age groups were analyzed. The samples were taken from the tumor sections of the tissue removed during surgery. Infrared spectra demonstrate significant spectral differences between the normal and the cancerous breast tissues. In particular changes in frequency and intensity in the spectra of protein, nucleic acid and glycogen vibrational modes as well as the band intensity ratios for lipid/proteins, protein/nucleic acids, protein/glycogen were observed. This allows to make a qualitative and semi quantitative evaluation of the changes in proliferation activity from normal to diseased tissue. It was evident that the sample to sample or patient to patient variations were small and the spectral differences between normal and diseased tissues were reproducible. The findings establish a framework for additional studies, which may enable us to establish a relation of the diseased state with its infrared spectra.     

Learning vector quantizer in the investigation of thyroid lesions

OBJECTIVE: To investigate the capability of the learning vector quantizer (LVQ) in the discrimination of benign from malignant thyroid lesions. STUDY DESIGN: The study was performed on May-Grünwald-Giemsa-stained smears taken by fine needle aspiration (FNA). Using a custom image analysis system, 25 features that describe the size, shape and texture of approximately 100 nuclei were measured from each case. Statistical features were extracted from each case, and a linear regression analysis was performed to detect the statistically significant features. The cases were distributed by category, as follows: 100 cases of goiter and follicular adenomas, 11 cases of follicular carcinoma, 35 cases of papillary carcinoma, 24 cases of oncocytic adenoma, 8 cases of oncocytic carcinoma and 20 cases of Hashimoto thyroiditis. About 30% of the cases from each class were used for training two LVQ classifiers. The remaining 139 cases, out of a total of 198, were used as the test set. A classifier was used to discriminate into four classes and a second into two classes. RESULTS: The application of LVQ neural networks allows good discrimination between benign and malignant lesions (O.A. = 97.8). However, reliable discrimination of the cytologic types of the lesions was not obtained. CONCLUSION: These results indicate that the use of neural networks combined with image morphometry may offer useful information on the potential for malignancy of thyroid lesions and may improve the diagnostic accuracy of FNA of the thyroid gland, especially in cases of follicular neoplasms classified as suspicious for malignancy and in cases of oncocytic tumors.     

乳腺MRI 与乳腺X线在导管原位癌临床诊断中应用的比较研究

目的:探讨乳腺MRI与乳腺X线检查在导管原位癌(DCIS)诊断中的应用价值。方法:选择2012年5月至2014年9月在我院接受诊治的乳腺DCIS患者52例(58个病灶)为研究对象,对所有患者进行乳腺MRI及X线检查,以病理检查结果作为金标准,比较乳腺MRI及X线检查在导管原位癌(DCIS)诊断中的应用价值。结果:58个病灶中,乳腺MRI共检查出阳性54例,阴性4例,其中误诊或漏诊4例;乳腺X线共检查出阳性49例,阴性9例,其中误诊或漏诊11例。乳腺MRI检查的灵敏度和准确度均显著高于乳腺X线,差异有统计学意义(P0.05)。此外,乳腺MRI检查的特异度、阳性预测值及阴性预测值均分别高于乳腺X线,但差异无统计学意义(P0.05)。结论:乳腺MRI检查对DCIS的诊断价值较高,具有广泛的应用前景,但亦存在少数误诊或漏诊。