Nuclear magnetic resonance for the differentiation of benign and malignant breast tissues and axillary lymph nodes

Investigation of synthetic MRI with quantitative parameters for discriminating axillary lymph nodes status in invasive breast cancer

OBJECTIVE

To investigate the potential value of quantitative parameters derived from synthetic magnetic resonance imaging (syMRI) for discriminating axillary lymph nodes metastasis (ALNM) in breast cancer patients.

MATERIALS AND METHODS

A total of 56 females with histopathologically proven invasive breast cancer who underwent both conventional breast MRI and additional syMRI examinations were enrolled in this study, including 30 patients with ALNM and 26 with non-ALNM. SyMRI has enabled quantification of T1 relaxation time (T1), T2 relaxation time (T2) and proton density (PD). The syMRI quantitative parameters of breast primary tumors before (T1tumor, T2tumor, PDtumor) and after (T1+tumor, T2+tumor, PD+tumor) contrast agent injection were obtained. Similarly, measurements were taken for axillary lymph nodes before (T1LN, T2LN, PDLN) and after (T1+LN, T2+LN, PD+LN) the injection, then theΔT1 (T1-T1+), ΔT2 (T2-T2+), ΔPD (PD-PD+), T1/T2 and T1+/T2+ were calculated. All parameters were compared between ANLM and non-ALNM group. Intraclass correlation coefficient for assessing interobserver agreement. The independent Student's t test or Mann-Whitney U test to determine the relationship between the mean quantitative values and the ALNM. Multivariate logistic regression analyses followed by receiver operating characteristics (ROC) analysis for discriminating ALN status. A P value < 0.05 was considered statistically significant.

RESULTS

The short-diameter of lymph nodes (DLN) in ALNM group was significantly longer than that in the non-ALNM group (10.22 ± 3.58 mm vs. 5.28 ± 1.39 mm, P < 0.001). The optimal cutoff value was determined to be 5.78 mm, with an AUC of 0.894 (95 % CI: 0.838-0.939), a sensitivity of 86.7 %, and a specificity of 90.2 %. In syMRI quantitative parameters of breast tumors, T2tumor, ΔT2tumor and ΔPDtumor values showed statistically significant differences between the two groups (P < 0.05). T2tumor value had the best performance in discriminating ALN status (AUC = 0.712), and the optimal cutoff was 90.12 ms, the sensitivity and specificity were 65.0 % and 83.6 % respectively. In terms of syMRI quantitative parameters of lymph nodes, T1LN, T2LN, T1LN/T2LN, T2+LN and ΔT1LN values were significantly different between the two groups (P < 0.05), and their AUCs were 0.785, 0.840, 0.886, 0.702 and 0.754, respectively. Multivariate analyses indicated that the T1LN value was the only independent predictor of ALNM (OR=1.426, 95 % CI: 1.130-1.798, P = 0.039). The diagnostic sensitivity and specificity of T1LN was 86.7 % and 69.4 % respectively at the best cutoff point of 1371.00 ms. The combination of T1LN, T2LN, T1LN/T2LN, ΔT1LN and DLN had better performance for differentiating ALNM and non-ALNM, with AUCs of 0.905, 0.957, 0.964 and 0.897, respectively.

CONCLUSION

The quantitative parameters derived from syMRI have certain value for discriminating ALN status in invasive breast cancer, with T2tumor showing the highest diagnostic efficiency among breast lesions parameters. Moreover, T1LN acted as an independent predictor of ALNM.

State of the Art MR Imaging for Lung Cancer TNM Stage Evaluation

Since the Radiology Diagnostic Oncology Group (RDOG) report had been published in 1991, magnetic resonance (MR) imaging had limited clinical availability for thoracic malignancy, as well as pulmonary diseases. However, technical advancements in MR systems, such as sequence and reconstruction methods, and adjustments in the clinical protocol for gadolinium contrast media administration have provided fruitful results and validated the utility of MR imaging (MRI) for lung cancer evaluations. These techniques include: (1) contrast-enhanced MR angiography for T-factor evaluation, (2) short-time inversion recovery turbo spin-echo sequences as well as diffusion-weighted imaging (DWI) for N-factor assessment, and (3) whole-body MRI with and without DWI and with positron emission tomography fused with MRI for M-factor or TNM stage evaluation as well as for postoperative recurrence assessment of lung cancer or other thoracic tumors using 1.5 tesla (T) or 3T systems. According to these fruitful results, the Fleischner Society has changed its position to approve of MRI for lung or thoracic diseases. The purpose of this review is to analyze recent advances in lung MRI with a particular focus on lung cancer evaluation, clinical staging, and recurrence assessment evaluation.

Enhanced Masses on Contrast-Enhanced Breast: Differentiation Using a Combination of Dynamic Contrast-Enhanced MRI and Quantitative Evaluation with Synthetic MRI

BACKGROUND

The addition of synthetic MRI might improve the diagnostic performance of dynamic contrast-enhanced MRI (DCE-MRI) in patients with breast cancer.

PURPOSE

To evaluate the diagnostic value of a combination of DCE-MRI and quantitative evaluation using synthetic MRI for differentiation between benign and malignant breast masses.

STUDY TYPE

Retrospective, observational.

POPULATION

In all, 121 patients with 131 breast masses who underwent DCE-MRI with additional synthetic MRI were enrolled.

FIELD STRENGTH/SEQUENCE

3.0 Tesla, T₁ -weighted DCE-MRI and synthetic MRI acquired by a multiple-dynamic, multiple-echo sequence.

ASSESSMENT

All lesions were differentiated as benign or malignant using the following three diagnostic methods: DCE-MRI type based on the Breast Imaging-Reporting and Data System; synthetic MRI type using quantitative evaluation values calculated by synthetic MRI; and a combination of the DCE-MRI + Synthetic MRI types. The diagnostic performance of the three methods were compared.

STATISTICAL TESTS

Univariate (Mann-Whitney U-test) and multivariate (binomial logistic regression) analyses were performed, followed by receiver-operating characteristic curve (AUC) analysis.

RESULTS

Univariate and multivariate analyses showed that the mean T₁ relaxation time in a breast mass obtained by synthetic MRI prior to injection of contrast agent (pre-T₁ ) was the only significant quantitative value acquired by synthetic MRI that could independently differentiate between malignant and benign breast masses. The AUC for all enrolled breast masses assessed by DCE-MRI + Synthetic MRI type (0.83) was significantly greater than that for the DCE-MRI type (0.70, P < 0.05) or synthetic MRI type (0.73, P < 0.05). The AUC for category 4 masses assessed by the DCE-MRI + Synthetic MRI type was significantly greater than that for those assessed by the DCE-MRI type (0.74 vs. 0.50, P < 0.05).

DATA CONCLUSION

A combination of synthetic MRI and DCE-MRI improves the accuracy of diagnosis of benign and malignant breast masses, especially category 4 masses. Level of Evidence 4 Technical Efficacy Stage 2 J. MAGN. RESON. IMAGING 2021;53:381-391.

Diffusion-weighted imaging vs STIR turbo SE imaging: capability for quantitative differentiation of small-cell lung cancer from non-small-cell lung cancer

OBJECTIVE

To compare the capability of differentiation of small-cell lung cancer (SCLC) from non-SCLC (NSCLC) between diffusion-weighted imaging (DWI) and short tau inversion recovery (STIR) turbo spin-echo imaging.

METHODS

The institutional review board of Kobe University Hospital, Kobe, Japan, approved this study, and written informed consent was obtained from each patient. 49 patients with NSCLC (30 males and 19 females; mean age, 66.8 years) and 7 patients with SCLC (5 males and 2 females; mean age, 68.6 years) enrolled and underwent DWI and STIR. To quantitatively differentiate SCLC from NSCLC, apparent diffusion coefficient (ADC) values on DWI and contrast ratios (CRs) between cancer and muscle on STIR were evaluated. ADC values and CRs were then compared between the two cell types by Mann-Whitney's U-tests, and the diagnostic performances were compared by McNemar's test.

RESULTS

There were significant differences of mean ADC values (p < 0.001) and mean CRs (p = 0.003). With adopted threshold values, the specificity (85.7%) and accuracy (85.7%) of DWI were higher than those of STIR (specificity, 63.3%; p = 0.001 and accuracy, 66.1%; p = 0.001). In addition, the accuracy of combination of both indexes (94.6%; p = 0.04) could significantly improve as compared with DWI alone.

CONCLUSION

DWI is more useful for the differentiation of SCLC from NSCLC than STIR, and their combination can significantly improve the accuracy in this setting.

ADVANCES IN KNOWLEDGE

Pulmonary MRI, including DWI and STIR, had a potential of the suggestion of the possibility as SCLC.

Comparison of STIR turbo SE imaging and diffusion-weighted imaging of the lung: capability for detection and subtype classification of pulmonary adenocarcinomas

OBJECTIVE

The aim of the study was to evaluate the diagnostic performance of diffusion-weighted imaging (DWI) for detection and subtype classification in pulmonary adenocarcinomas through comparison with short TI inversion recovery turbo spin-echo imaging sequence (STIR).

METHODS

Thirty-two patients (mean age, 65.2 years) with 33 adenocarcinomas (mean diameter, 27.6 mm) were enrolled in this study. The detection rates of both sequences were compared. The ADC values on DWI and the contrast ratio (CR) between cancer and muscle on STIR were measured and those were compared across subtype classifications. Finally, ROC-based positive tests were performed to differentiate subtype classifications, and differentiation capabilities were compared.

RESULTS

The DWI detection rate [85% (28/33)] was significantly lower than that of STIR [100% (33/33), P < 0.05]. The ADC values showed no significant difference regarding subtype classification; however, the CRs of bronchio-alveolar carcinomas (BACs) were significantly lower than those of other types (P < 0.05). When threshold values for differentiating BACs from others were adapted, the sensitivity and accuracy of DWI were significantly lower than those of STIR (P < 0.05). For differentiating adenocarcinomas with mixed subtypes from those with no BA component, there were no significant differences between the two sequences.

CONCLUSION

STIR is more sensitive for detection and subtype classification than DWI.

STIR turbo SE MR imaging vs. coregistered FDG-PET/CT: Quantitative and qualitative assessment of N-stage in non-small-cell lung cancer patients

PURPOSE

To conduct a prospective comparison of the accuracy of short inversion time (TI) inversion-recovery (STIR) turbo spin-echo (SE) imaging and coregistered 2-[fluorine-18] fluoro-2-deoxy-D-glucose (FDG)-positron emission tomography (PET) with computed tomography (CT) (coregistered FDG-PET/CT) to assess the N-stage in non-small-cell lung cancer (NSCLC) patients.

MATERIALS AND METHODS

A total of 115 consecutive NSCLC patients prospectively underwent CT, STIR turbo SE imaging, and FDG-PET, as well as surgical and pathological examinations. All STIR turbo SE images were obtained with a 0.9% saline phantom, which was placed alongside the chest wall of each patient, and coregistered FDG-PET/CTs were reconstructed using commercially available software. For quantitative assessments, the ratio of signal intensity (SI) of each lymph node to that of 0.9% saline phantom (lymph node-saline ratio [LSR]) and maximal standardized uptake value (SUV(max)) of each lymph node were calculated. Feasible threshold values were determined by using the receiver operating characteristic (ROC) curve-based positive test, and diagnostic capabilities of N-stage were compared by McNemar's test on a per patient basis.

RESULTS

When feasible, threshold values were adopted, quantitative sensitivity (90.1%) and accuracy (92.2%) of STIR turbo SE imaging were significantly higher than those of quantitative and qualitative sensitivities (76.7% and 74.4%) and accuracies (83.5% and 82.6%) of coregistered FDG-PET/CT on a per patient basis (P < 0.05).

CONCLUSION

STIR turbo SE imaging is at least as valid as coregistered FDG-PET/CT for quantitative and qualitative assessment of the N-stage for NSCLC patients.

Metastases in Mediastinal and Hilar Lymph Nodes in Patients with Non–Small Cell Lung Cancer: Quantitative and Qualitative Assessment with STIR Turbo Spin-Echo MR Imaging

PURPOSE

To evaluate short inversion time inversion-recovery (STIR) turbo spin-echo (TSE) magnetic resonance (MR) imaging for detection of metastases in lymph nodes by using quantitative and qualitative analyses.

MATERIALS AND METHODS

One hundred ten patients (68 men and 42 women) with non-small cell lung cancer who ranged in age from 36 to 82 years (mean age, 64 years) were examined with respiratory-triggered STIR TSE MR imaging. Ratios of signal intensity in a lymph node to that in a 0.9% saline phantom (lymph node-saline ratios [LSRs]) for all lymph nodes were classified into three groups according to nodal short-axis diameter. LSRs of each group were compared by using pathologic diagnosis as the standard of reference. For quantitative analysis, the LSR threshold value for a positive test was determined on a per-node basis and tested for ability to enable a correct diagnosis on a per-patient basis. For qualitative analysis, signal intensities of lymph nodes were assessed by using a five-point visual scoring system. Results of quantitative and qualitative analyses were compared on a per-patient basis with McNemar testing.

RESULTS

In 110 patients, 92 of 802 lymph nodes were pathologically diagnosed as containing metastases, while 710 lymph nodes did not contain metastases. Mean LSR in the lymph node group with metastasis was higher than that in the group without metastasis (P <.05). When an LSR of 0.6 was used as the positive-test threshold at quantitative analysis, sensitivity was 93% (37 of 40 patients) and specificity was 87% (61 of 70 patients) on a per-patient basis. With a score of 4 as the positive-test threshold at qualitative analysis, sensitivity was 88% (35 of 40 patients) and specificity was 86% (60 of 70 patients) on a per-patient basis. There was no significant difference (P >.05) between results of quantitative and those of qualitative analysis.

CONCLUSION

Quantitative and qualitative analyses of STIR TSE MR images enable differentiation of lymph nodes with metastasis from those without. Qualitative analysis can substitute for quantitative analysis of STIR TSE MR imaging data.

Differentiation of metastatic versus non-metastatic mediastinal lymph nodes in patients with non-small cell lung cancer using respiratory-triggered short inversion time inversion recovery (STIR) turbo spin-echo MR imaging

OBJECTIVES

To differentiate between metastatic and non-metastatic lymph nodes in patients with non-small cell lung cancer using respiratory-triggered short inversion time inversion recovery (STIR) turbo spin-echo (SE) MR imaging.

METHODS AND PATIENTS

One hundred and forty mediastinal lymph nodes were detected in 25 patients with non-small cell lung cancer who underwent respiratory-triggered STIR turbo SE imaging. Ratios of signal intensity of lymph nodes to 0.9% saline phantoms (lymph node-saline ratio) were compared by Student's t-test using the pathological diagnosis as the gold standard. The threshold value of the lymph node-saline ratio was determined for a positive test, and tested for its capability to provide a differential diagnosis.

RESULTS

One hundred and forty lymph nodes were diagnosed and classified into two groups: metastatic lymph node (n=21) and non-metastatic lymph node (n=119). The mean lymph node-saline ratio in the non-metastatic lymph node group (0.42+/-0.01; mean+/-standard error) was significantly lower than that of the metastatic lymph node group (0.77+/-0.02, P<0.0001). When 0.6 was adapted as the threshold for a positive test, sensitivity, specificity, and accuracy for differentiating metastatic lymph node from non-metastatic lymph node per lymph nodes were 100, 96, and 96%, and sensitivity, specificity, and accuracy for differentiating metastatic lymph node from non-metastatic lymph node per patients were 100, 75, and 88%, respectively.

CONCLUSIONS

Both metastatic and non-metastatic lymph nodes in patients with non-small cell lung cancer were well differentiated using respiratory-triggered STIR turbo SE imaging.

The risk of nodal metastases in breast cancer patients with clinically negative lymph nodes: a population-based analysis

A population-based study was performed to assess the likelihood of axillary lymph node metastases in patients with clinically negative lymph nodes, according to patient age, tumor size and site, estrogen receptor status, histologic type and mode of detection. Data were obtained from the population-based Eindhoven Cancer Registry. During the period 1984-1997, 7680 patients with invasive breast cancer were documented, 6663 of whom underwent axillary dissection. Of the 5125 patients who were known to have clinically negative lymph nodes and underwent axillary dissection, 1748 (34%) had positive lymph nodes at pathological examination. After multivariate analysis, histologic type, tumor size, tumor site and the number of lymph nodes in the axillary specimen remained as independent predictors of the risk of nodal involvement (P < 0.001). Lower risks were found for patients with medullary or tubular carcinoma, smaller tumors, a tumor in the medial part of the breast and patients with less than 16 nodes examined. This study gives reliable estimates of the risk of finding positive lymph nodes in patients with a clinically negative axilla. Such information is useful when considering the need for axillary dissection and to predict the risk of a false-negative result when performing sentinel lymph node biopsy.

Probe with chest shielding for improved breast MRI

The design and construction of an RF coil system for use in MR breast imaging is described. The two-ring, tuned Helmholtz coil, with its axis perpendicular to the chest, surrounds a single pendant breast and is coupled both internally and to the MRI transmitter/receiver by mutual induction. The addition of two symmetrical RF shields minimizes losses in the chest and significantly improves performance. Images obtained from eight healthy volunteers showed that the coil permitted imaging of breasts of diverse size with an in-plane resolution of 0.27 x 0.27 mm and a slice thickness of less than 2 mm at a field strength of 3 T as well as 1.5 T. The use of shields with surface coils in general is advocated as a method for improving signal-to-noise ratio. Magn Reson Med 43:917-920, 2000.

Evaluation of Axillary Lymph Node Status in Breast Cancer with MRI

BACKGROUND: We performed a retrospective study to establish the optimal radiological criteria for axillary lymph node metastases from breast cancer by measuring all dissected nodes, and to determine whether magnetic resonance imaging (MRI) could reliably reveal axillary involvement. METHODS: Pathological findings and MRI scans of 202 patients with invasive breast cancer were reviewed. The long- and short-axis dimensions of all level I an II lymph nodes were measured microscopically, and then the long-to-short axis (L/S) ratio of each node was calculated. These parameters were compared with pathological nodal status to define radiological criteria for axillary involvement. MRI was carried out using T1-weighted spin-eho sequences in the coronal and sagittal planes. On MRI, every detected lymph node was measured and the shape ofthe nodal cortex was also examined. Then the diagnostic ability of MRI was assessed using these morphologic criteria. RESULTS: On histopathological examinations of 4043 dissected lymph nodes, a long-axis dimension of 10 mm or larger combined with a long-to-short axis ratio of less than 1.6 was the most accurate criteria for predicting lymph node metastases. On MRI, eccentric cortical hypertrophy was seen in only metastatic axillae.When these morphologic features were used as criteria for malignancy, MRI had asensi-tivity of 79%, a specificity of 93%, and an accuracy of 88%. In 16 of 17 false-negative axillae, MRI showed normally sized lymph nodes (< 10 mm). CONCLUSION: Our study indicates that MRI is a useful diagnostic method for the evaluation of axillary nodal status, but is limited in the detection of small metastatic lymph nodes.

Analysis of dynamic MR breast images using a model of contrast enhancement

We describe a model of dynamic contrast enhancement in breast MRI designed to aid the radiologist in cases for which X-ray mammography is ineffective. The breasts are segmented from the image slices by a dynamic programming algorithm after morphological opening. A pharmacokinetic model has been derived to fit the rise in intensities after injection of a contrast agent, in a way that facilitates investigation of the effects of different models of bolus injection. The pharmacokinetic model is used in a modified Horn-Schunck algorithm to correct for motion effects during the seven minute acquisition period. The results show significant localization of tumours and enable discrimination of cancerous tissue. In particular, we illustrate the approach with an image that shows a carcinoma, whose appearance and localization are greatly improved by the registration algorithm.

Diagnosis of axillary lymph node metastases in patients with breast cancer

The diagnosis of axillary (AX) metastases remains a challenge in the management of breast cancer and is a subject of controversy. Clinical node staging clearly is limited in the assessment of AX lymph nodes. AX mammography, ultrasonography, and computed tomography (CT) do not provide histologic information. Although nuclear magnetic resonance imaging may have considerable value in the diagnosis of AX metastases, it does not detect micrometastases. The use of biologic markers in the assessment of AX metastases remains a subject of investigation. On the other hand, biopsy of selected AX nodes or tissue with examination of histology or cytology generally would not identify a significant percentage of patients with AX node involvement. Sentinel lymph node biopsy, however, might be potentially useful for assessing AX metastases, although it remains investigational. In order to simplify diagnosis and reduce morbidity and mortality, alternatives to AX dissection must be sought and imaging and staging modalities refined. We present a review of the literature pertaining to the diagnosis of AX metastases in patients with breast cancer and a discussion of some current areas of controversy.

Dynamic gradient-echo and fat-suppressed spin-echo contrast-enhanced MRI of the breast

PURPOSE

To evaluate heavily T2-weighted, dynamic contrast-enhanced and fat-suppressed magnetic resonance imaging (MRI) of the breast in comparison with conventional imaging and fine needle aspiration cytology (FNAC).

PATIENTS AND METHODS

Fifty patients with surgically/pathologically proven breast disease were examined pre-operatively by MRI. The majority, 45 patients, had invasive carcinoma. T1-weighted spin-echo, T2-weighted fast spin-echo (with chemical-shift-selective fat-suppression in 20 cases), rapid dynamic contrast-enhanced gradient-echo and post-contrast fat-suppressed T1-weighted images were obtained. Signal intensity changes during dynamic scanning were assessed qualitatively and quantitatively. Comparison was made with the results of X-ray mammography, ultrasound and fine needle aspiration cytology.

RESULTS

Unenhanced MRI was inadequate for determining the location, extent or nature of most lesions even when fat-suppressed T2-weighted images were obtained. Following contrast injection, there was significantly greater enhancement of invasive carcinomas than normal parenchyma. Invasive carcinomas of ductal and lobular subtypes did not differ significantly in their enhancement profiles. Prominent enhancement of the lesion periphery, which was a feature in 33 out of 50 cases (the majority of which were invasive carcinomas) was not due to central tumour necrosis. In four cases, invasive carcinomas which were clearly visible on early dynamic scans could not be identified on post-contrast fat-suppressed images. Lesions that were more numerous or extensive than had been recognised clinically or mammographically were revealed by MRI in 14 patients, though MRI was no more specific than conventional assessment. Invasion of the chest wall was accurately predicted by MRI in three cases. There was excellent correlation between tumour size shown by MRI and histopathology. FNAC was accurate in predicting the final histological diagnosis except in those cases where samples were unsatisfactory.

CONCLUSIONS

Contrast-enhanced MRI appears useful in the assessment of suspected malignant breast masses, especially in younger women with predominantly glandular breast tissue. Specificity is no better than FNAC but tumour extent and multifocality are more accurately disclosed than by conventional imaging techniques. Contrast-enhanced chemical-shift-selective fat-suppressed images are sub-optimal in a small proportion of cases (particularly where lesions are located posteriorly) and some benign breast disease may appear misleadingly conspicuous on such images. Morphological features and quantification of lesion enhancement during dynamic scanning presently offer only limited prospects for discrimination between various pathologies. Heavily T2-weighted sequences appear of marginal value.

Intensive preoperative radiotherapy with local hyperthermia for the treatment of gastric carcinoma

In order to devitalize maximally tumour tissue and improve the prognosis of gastric cancer patients, a method employing preoperative intensive radiotherapy with local hyperthermia as adjuvant treatment was evaluated. In order to estimate the effectiveness of preoperative intensive radiation and radiation with local microwave hyperthermia in radical gastric cancer treatment, 293 patients were randomized into three respective treatment groups: surgery alone, surgery preceded by preoperative radiation; and surgery followed by preoperative radiation and hyperthermia. Preoperative radiation therapy to a total dose of 20 Gy in four 5 Gy fractions did not improve 3- or 5-year survival in gastric cancer patients in comparison with surgery alone. Local hyperthermia in combination with radiation therapy followed by surgery produced a significant improvement in 3-year survival of 22.1% (from 35.5 +/- 4.9% to 57.6 +/- 6.3%, P < 0.05) and 5-year survival of 21.3% (from 30.1 +/- 4.7 to 51.4 +/- 6.6%, P < 0.05). In unresectable gastric cancer patients, radiation therapy and radiation therapy with hyperthermia both increase mean survival. In conclusion; intensive preoperative radiation therapy in total dose 20 Gy plus local microwave hyperthermia significantly improved 3- and 5-year survival in comparison with surgery alone. Further development and evaluation of equipment to produce reliable and safe delivery systems for hyperthermia is needed.

A comparison between ultrasonography and mammography, computed tomography and digital subtraction angiography for the detection of breast cancers

Ultrasound (US) was compared with mammography (MMG), computed tomography (CT), and digital subtraction angiography (DSA) in its effectiveness to detect breast cancer masses and metastatic axillary nodes. Forty-seven breast cancer patients who all underwent MMG, US, CT, and DSA preoperatively in our institution between 1986 and 1990 were studied. US was able to detect tumors in all cases regardless of tumor size, whereas DSA detected T1-size tumors and MMG detected T2-size tumors in 40% and 64.7% of cases, respectively, being specifically inferior to US. It was found that MMG was least likely to detect papillotubular carcinoma, although microcalcification alone without a tumor mass on MMG improved detectability from 46.2% to 76.9%, according to the histological type. CT was found to be most sensitive to axillary node metastases (81.8%), followed by US (72.7%), but DSA was significantly unfavorable (42.9%). Thus, we concluded that US was superior to MMG, CT, and DSA for detecting breast cancer masses, but that CT was more advantageous than US, while DSA was of little value for evaluating axillary nodal status.

Gastric cancer

The overall cure rate for gastric cancer has changed relatively little in the United States over the past 30 years, largely because patients continue to present for treatment in advanced stages. The paucity of symptoms in early gastric cancer, the low incidence in the general United States population, and the lack of cost-effective screening methods suggest that improvements in early detection are unlikely. Hope for improved survival in late stage cases lies mostly in a better understanding of the pathophysiology and patterns of spread, in evolving techniques for more accurate perioperative staging, and in the gradually improving results of multimodality therapy for local-regional and systemic disease. A proposal is made for a new staging system integrating newer approaches to staging and for controlled trials of multimodality therapy in patients unlikely to be cured by surgery alone.

Modern thoughts on lymph nodes in breast cancer

Axillary lymph node status remains the single most useful prognostic parameter in breast cancer patients. As clinical examination, imaging techniques, and lymph node sampling methods cannot accurately assess the axillary node involvement, a complete axillary dissection should always be performed. Moreover, this technique provides an excellent treatment modality for regional disease, abolishing the need for radiotherapy to the axilla. The status of the internal mammary lymph nodes is of less importance in the management of the breast cancer patient.

High-resolution 1H NMR spectroscopy in the diagnosis of breast cancer

Surgical specimens from 22 patients with infiltrating ductal carcinoma of the breast were analyzed by high-resolution 1H NMR spectroscopy at 80 and 300 MHz. Results were compared with those obtained from 9 benign (proliferative dysplasia without atypia) breast samples. NMR spectra at 80 MHz showed well-resolved water and lipid peaks so it was possible to calculate specific T1 and T2 relaxation times. The longitudinal T1 relaxation process of the water was found to be properly represented by a monoexponential function, whereas the transverse T2 decay was well accounted for by a biexponential model. Relaxation time measurements of the water were found to be a valuable tool in breast tissue characterization, in particular (a) mean T1 values from malignant and control populations are well distinguished (P less than 0.0008); (b) mean T2 values of both fast and slow components from the two populations are statistically different (P less than 0.0001) and no overlap exists in the distributions of the second component. Three-hundred-megahertz spectra allowed a detailed analysis of the lipidic component of the sample: malignant tumors were found to present in the region 1.3-1.2 ppm a species characterized by a very slow transverse relaxation time (T2 = 200-1000 ms).

Proton NMR of human breast tumors: correlation with clinical prognostic parameters

Proton NMR spectroscopy and imaging of human breast tissue have provided new methods in studying breast carcinomas. Continuous wave proton NMR spectroscopy in this study is able to discriminate breast carcinomas from normal breast tissue on the basis of the integrated area under the water and lipid peaks, width at half height of the water peak, and chemical shift of the lipid peak. In addition, the NMR parameters were correlated with the following clinical and pathologic prognostic indices: TNM tumor stage, nuclear grade, and estrogen receptor status (ER). Width at half height of the lipid peak (1/2 delta lipid) correlated with tumor content and ER. Studies using higher resolution proton or phosphorus NMR spectra may separate signals that can correlate with biological information on breast neoplasms useful to the clinician. Chemical shift of the lipid peak may be used to sharpen contrast on MRI of breast tumors.

Costs and benefits of breast cancer diagnosis

The data from 456 breast cancer patients treated between 1978 and 1985 were retrospectively analyzed to assess the validity of present methods in the diagnosis of breast cancer. The prices and benefits of the methods and the costs of the combinations were compared. The false negative rate of one single method varied from 11.8 to 20.9 per cent, with two methods the rate was 3.7 to 7.1 per cent, and with three methods 2.5 to 3.9 per cent. With four methods no improvement in the results was noted. As a single method, fine needle aspiration biopsy was the cheapest, but it also had the highest false negative rate. The combination of clinical examination, mammography, and fine needle aspiration biopsy seemed to be the most accurate and reasonable combination for diagnosis.

Detection of malignant tumors. Water-suppressed proton nuclear magnetic resonance spectroscopy of plasma

A sensitive and specific blood test for cancer has long been sought. The water-suppressed proton nuclear magnetic resonance (NMR) spectrum of plasma is dominated by the resonances of plasma lipoprotein lipids. We measured the mean line widths of the methyl and methylene resonances, which were found to be correlated with the presence or absence of malignant tumors. Values for the average line width were lower in patients with cancer. We analyzed plasma from 331 people (normal controls, patients with malignant and benign tumors, patients without tumors, and pregnant patients); NMR analysis and measurement of line widths were blinded to diagnosis or patient group. The mean line width for 44 normal controls (+/- SD) was 39.5 +/- 1.6 Hz. For 81 patients with untreated cancer, demonstrated by biopsy, the line width was 29.9 +/- 2.5 Hz. Patients with malignant tumors were reliably distinguished from normal controls by this method (P less than 0.0001), and differed from patients with diseases that did not involve tumors (line width, 36.1 +/- 2.6 Hz; P less than 0.0001). Patients with benign tumors (e.g., those of the breast, ovary, uterus, and colon) had line widths of 36.7 +/- 2.0 Hz and were different from those with malignant tumors (P less than 0.0001). However, pregnant patients and those with benign prostatic hyperplasia had line widths consistent with the presence of malignant tumors. The narrowing of lipoprotein-lipid resonances with cancer is consistent with the response of a host to tumor growth. We conclude that these preliminary results demonstrate that water-suppressed proton NMR spectroscopy is a potentially valuable approach to the detection of cancer and the monitoring of therapy.

Nuclear magnetic resonance imaging characterization of a rat mammary tumor

Intradermal injection (1 X 10(6) cells) of rat mammary adenocarcinoma (13762A) was made in the back skin in 12 rats. Tumor growth and characterization was followed with nuclear magnetic resonance imaging (NMRI) in 9 rats (3 rats died before completion of the study) at 3, 4, and 5 weeks after injection, using spin echo, inversion-recovery, and calculated T1 techniques. Three rats were sacrificed after each of the three imaging periods for histological studies designed to distinguish solid tumor mass from necrosis. Qualitative NMR imaging T1 values increased as the tumors increased in size as evidenced by a progressive decrease in image intensity compared to the surrounding tissues on the T1 weighted images. Calculated T1 values also increased as the tumors aged (Week 3 = 0.3 +/- 0.11; Week 4 = 0.45 +/- 0.07; Week 5 = 0.42 +/- 0.03). Planimetry of tumor areas on histological sections showed that as tumors increased in size, the ratio of necrotic area to solid tumor area increased (Week 3 = 0.3 +/- 0.11; Week 4 = 0.45 +/- 0.07; Week 5 = 0.51 +/- 0.05). These findings indicate that the progressive increase in T1 observed on NMR images may be secondary to the increasing degree of necrosis, with a resultant change in water content and state. Thus, the range of T1 values observed in tumors of similar type may be due to change in tumor physiology and anatomy as tumor growth progresses. In conclusion, careful correlation of histological data with NMR image data is necessary before NMR imaging can be used to provide reliable noninvasive histological information concerning tumor pathology.

Nuclear magnetic resonance in oncology

The application of nuclear magnetic resonance (NMR) techniques to the diagnosis of cancer was first explored by Damadian, who proposed that benign and malignant tissues could be differentiated on the basis of characteristic differences in spin-lattice and spin-spin relaxation times (T1 and T2) as determined in vitro with NMR spectrometers. Damadian's thesis was very controversial and never gained widespread acceptance. Not all investigators were able to confirm his findings. Moreover, it was improbable that NMR would ever play an important role in the diagnosis of malignancy as long as biopsy was necessary to obtain material for analysis. However, the potential usefulness of NMR in oncology was enhanced considerably by the work of Lauterbur, who showed that NMR signals could be spatially encoded to produce images of the examined object. NMR imaging has made feasible the measurement of the T1 and T2 of lesions without biopsy. Unfortunately, initial efforts at characterizing tissues by in vivo determination of proton relaxation times have yielded disappointing results. Nonetheless, NMR imaging will be a powerful tool for evaluating patients with malignant disease because of the unique anatomic information it can provide without exposure of the patient to ionizing radiation. In vivo NMR spectroscopy of 31P and other sensitive nuclei may add a new dimension to clinical and experimental oncology.