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Anuradha Saokar

Publications and source records attributed to Anuradha Saokar.

5 recordsLinked to original sources

Lymphotropic nanoparticle enhanced MR imaging (LNMRI) technique for lymph node imaging.

Accurate nodal staging is important in the management of any primary malignancy. The presence of nodal metastases has both therapeutic and prognostic implications. Lymphotropic nanoparticles are a new class of MRI contrast agents, which are promising in detecting minimal metastatic nodal disease particularly in normal sized lymph nodes. This paper discusses the technique and interpretation of lymphotropic nanoparticle enhanced MRI (LNMRI) and reviews the various trials evaluating nodal staging with ferumoxtran-10 enhanced MRI.

Contrast Media↗

Pancreatic cysts 3 cm or smaller: how aggressive should treatment be?

PURPOSE: To retrospectively determine the frequency of malignancy in small (< or =3 cm) pancreatic cysts, to evaluate whether cyst morphologic features can help predict the presence of malignancy, and to determine the natural history of small pancreatic cysts at follow-up imaging. MATERIALS AND METHODS: Institutional review board approval was obtained; informed patient consent was not required. By means of a computerized search, 510 patients with pancreatic cysts that had been detected at computed tomography (CT) or magnetic resonance (MR) imaging were identified. Cysts that were 3 cm or smaller at surgery or endoscopic ultrasonography (US)-guided cyst fluid aspiration and biopsy were included. Eighty-six patients-31 men and 55 women aged 24-89 years-fulfilled the criteria. Patients underwent surgery or were monitored with endoscopic US-guided cyst fluid analysis, cytologic analysis, and follow-up imaging. Imaging findings were compared with surgical and pathology records and with endoscopic US features. Positive predictive values (PPVs) for benignity and malignancy were calculated on the basis of cyst size and absence or presence of septa in the cysts. RESULTS: Forty-eight patients underwent surgery, and 38 were treated nonsurgically. Seventy-five patients had benign cysts; eight, borderline (malignant) neoplasms; and three, carcinoma in situ lesions. The PPV of small pancreatic cysts for prediction of benignity was 87% (75 of 86 patients). Thirty-six patients had unilocular cysts (35 with benign lesions, one with borderline neoplasm). The PPV of unilocular cysts for prediction of benignity was 97% (35 of 36 patients). Fifty patients had septated cysts; seven of these patients had borderline neoplasms, and three had carcinoma in situ lesions. For prediction of malignancy in small cysts, the PPV of septa was 20% (10 of 50 patients), which was significantly higher than the 3% (one of 36 patients) PPV of unilocular cysts (P = .042). No significant changes in cyst morphologic features were seen in patients who were followed up with imaging for a mean period of 21.8 months. CONCLUSION: The majority (n = 75) of small pancreatic cysts were benign. Thirty-six cysts were unilocular, and virtually all of these (n = 35) were benign. The presence of septa was associated with borderline or in situ malignancy in 20% (10 of 50) of cases.

Adult↗

Comparison of lymphotropic nanoparticle-enhanced MRI sequences in patients with various primary cancers.

OBJECTIVE: This study was performed to empirically evaluate T2-weighted fast spin-echo, moderately T2*-weighted gradient-refocused echo (GRE), and heavily T2*-weighted GRE sequences to determine which sequence is the most effective for nodal characterization on lymphotropic nanoparticle-enhanced MRI (LNMRI). MATERIALS AND METHODS: The study included 65 patients who had proven primary cancer and were scheduled for either surgical lymph node dissection or imaging-guided lymph node biopsy. All patients underwent LNMRI using T2-weighted fast spin-echo, moderately T2*-weighted GRE, and heavily T2*-weighted GRE sequences. Unequivocal correlation of histopathology and MRI could be made in 140 nodes and only these were included in the analysis. Two blinded reviewers performed qualitative analysis of the nodes. Alternative free-response receiver operating characteristic (ROC) curves with a continuous rating scale were plotted for each sequence for both reviewers and the diagnostic accuracy of fast spin-echo T2-weighted and GRE T2*-weighted images were compared by calculating the area under the curve (A(Z)). A two-tailed Student's t test was performed to test the significance (p < 0.05) of the differences between the ROC curves derived from the three sequences. RESULTS: Irrespective of reviewer experience, T2*-weighted sequences showed better nodal characterization when compared with T2-weighted sequences. For both reviewers, there was a statistically significant difference between the A(Z) for T2- and the two T2*-weighted sequences (p < 0.05). Neither reviewer showed a statistically significant difference between the two T2*-weighted sequences. CONCLUSION: GRE T2*-weighted sequences are superior for nodal characterization on LNMRI to fast spin-echo T2-weighted sequences. Imaging protocols for LNMRI should include fast spin-echo T2-weighted imaging for anatomic localization, but characterization of nodes should be based on their appearance on contrast-enhanced T2*-weighted images. The T2*-weighted images acquired with dual TE values, one of which is intermediate and the other longer, improve nodal characterization.

Adult↗

Cystic pancreatic lesions: a simple imaging-based classification system for guiding management.

Cystic lesions of the pancreas are increasingly being recognized due to the widespread use of cross-sectional imaging. The initial evaluation of a pancreatic cyst should be directed toward exclusion of a pseudocyst. Patients with pseudocysts generally have a history of acute or chronic pancreatitis, whereas those with cystic tumors most often lack such a history. Several types of cystic lesions are encountered in the pancreas. Because of morphologic overlap at imaging, accurate characterization of these lesions can be difficult. Computed tomography and magnetic resonance imaging are excellent modalities for both initial detection and characterization of cystic pancreatic lesions. An imaging classification system for these lesions has been proposed that is based on the morphologic features of the lesion. This system can be helpful in characterizing lesions, narrowing the differential diagnosis, and making decisions regarding the treatment of affected patients. Endoscopic ultrasonography-guided aspiration and biopsy is useful in cases that are indeterminate at cross-sectional imaging or that require observation.

Algorithms↗

Imaging of penile neoplasms.

The assessment of penile cancer on the basis of clinical findings alone can often result in inaccurate staging and suboptimal treatment. Imaging of primary penile cancer and metastatic lymphadenopathy can help optimize planning of both primary tumor resection and treatment for lymph node metastases. Magnetic resonance (MR) imaging is the most accurate imaging modality in the assessment of primary penile cancers, which usually manifest as solitary, ill-defined infiltrating tumors that are hypointense on both T1- and T2-weighted MR images. T2-weighted MR imaging allows delineation of the tumor margin and of any extension into the penile shaft. On gadolinium-enhanced T1-weighted images, the tumors enhance to a greater extent than do the corpora cavernosa. In addition, the recently introduced technique known as lymphotrophic nanoparticle-enhanced MR imaging can help identify metastatic lymph node disease. However, further studies will be needed to determine the role of this imaging technique in clinical practice. Computed tomography does not clearly depict the local extension of primary penile cancer; however, it is useful in assessing metastases and postoperative complications.

Humans↗