No abstract

There is evidence in both simian immunodeficiency virus and human immunodeficiency virus (HIV) type 1 infection that class I major histocompatibility complex-restricted CD8 + cytotoxic T lymphocytes play a pivotal role in controlling infection and, potentially, in protecting by immunization. Progress has been made in designing strategies to elicit these responses with HIV-1 vaccines, but methods to reproducibly quantify them have posed difficulties. An interferon-g enzyme-linked immunospot assay, using peptide pools spanning the HIV-1 genes, was developed and standardized. This method is rapid (2 days), sensitive (threshold of detection, у0.005%), quantitative, feasible using cryopreserved cells, and able to define epitope specificities. When this assay was applied to 36 HIV-1-seropositive and 10 HIV-1-seronegative subjects, it proved to be robust (specificity, 100%). When responses in natural infection were compared with vaccine-induced responses, vaccine recipient responses were у1 log lower, which confirms the importance of using this sensitive assay as an initial screen in vaccine protocols.

Arcus marginalis release, fat extrusion, and septal reset were applied to 71 selected patients with a constellation of orbital deformities the authors term a "tear trough triad." Of the initial 71 patients, 59 had complete follow-up records. Evaluated by means of a proportional topographic scale, 95 percent of patients achieved significant improvement. Equally important, no incidence of middle lamella contracture occurred in the entire series. The authors conclude that the procedure is safe and effective in selected patients.

Therapeutic, IV.

Screening mammography increases detection of non-palpable breast lesions requiring image-guided localization prior to surgery. Accurate preoperative localization is crucial for successful surgical outcomes. Wire-guided localization is currently the most widely used localization method for non-palpable breast lesions; however, this technique has multiple disadvantages including patient discomfort, possible wire transection and migration, suboptimal surgical incision placement due to wire location and limited scheduling flexibility decreasing operating room efficiency. As a result, promising new techniques including radioactive seed localization, non-radioactive radar localization and magnetic seed localization have been developed as alternatives. In this article, we provide an overview of these techniques and discuss their advantages, drawbacks and currently available outcome data.

To develop a convolutional neural network (CNN) algorithm that can predict the molecular subtype of a breast cancer based on MRI features. An IRB-approved study was performed in 216 patients with available pre-treatment MRIs and immunohistochemical staining pathology data. First post-contrast MRI images were used for 3D segmentation using 3D slicer. A CNN architecture was designed with 14 layers. Residual connections were used in the earlier layers to allow stabilization of gradients during backpropagation. Inception style layers were utilized deeper in the network to allow learned segregation of more complex feature mappings. Extensive regularization was utilized including dropout, L2, feature map dropout, and transition layers. The class imbalance was addressed by doubling the input of underrepresented classes and utilizing a class sensitive cost function. Parameters were tuned based on a 20% validation group. A class balanced holdout set of 40 patients was utilized as the testing set. Software code was written in Python using the TensorFlow module on a Linux workstation with one NVidia Titan X GPU. Seventy-four luminal A, 106 luminal B, 13 HER2+, and 23 basal breast tumors were evaluated. Testing set accuracy was measured at 70%. The class normalized macro area under receiver operating curve (ROC) was measured at 0.853. Non-normalized microaggregated AUC was measured at 0.871, representing improved discriminatory power for the highly represented Luminal A and Luminal B subtypes. Aggregate sensitivity and specificity was measured at 0.603 and 0.958. MRI analysis of breast cancers utilizing a novel CNN can predict the molecular subtype of breast cancers. Larger data sets will likely improve our model.

No abstract

Purpose To evaluate outcomes of Savi Scout (Cianna Medical, Aliso Viejo, Calif) reflector-guided localization and excision of breast lesions by analyzing reflector placement, localization, and removal, along with target excision and rates of repeat excision (referred to as re-excision). Materials and Methods A single-institution retrospective review of 100 women who underwent breast lesion localization and excision by using the Savi Scout surgical guidance system from June 2015 to May 2016 was performed. By using image guidance 0-8 days before surgery, 123 nonradioactive, infrared-activated, electromagnetic wave reflectors were percutaneously inserted adjacent to or within 111 breast targets. Twenty patients had two or three reflectors placed for bracketing or for localizing multiple lesions, and when ipsilateral, they were placed as close as 2.6 cm apart. Target and reflector were localized intraoperatively by one of two breast surgeons who used a handpiece that emitted infrared light and electromagnetic waves. Radiographs of the specimen and pathologic analysis helped verify target and reflector removal. Target to reflector distance was measured on the mammogram and radiograph of the specimen, and reflector depth was measured on the mammogram. Pathologic analysis was reviewed. Re-excision rates and complications were recorded. By using statistics software, descriptive statistics were generated with 95% confidence intervals (CIs) calculated. Results By using sonographic (40 of 123; 32.5%; 95% CI: 24.9%, 41.2%) or mammographic (83 of 123; 67.5%; 95% CI: 58.8% 75.1%) guidance, 123 (100%; 95% CI: 96.4%, 100%) reflectors were placed. Mean mammographic target to reflector distance was 0.3 cm. All 123 (100%; 95% CI: 96.4%, 100%) targets and reflectors were excised. Pathologic analysis yielded 54 of 110 malignancies (49.1%; 95% CI: 39.9%, 58.3%; average, 1.0 cm; range, 0.1-5 cm), 32 high-risk lesions (29.1%; 95% CI: 21.4%, 38.2%), and 24 benign lesions (21.8%; 95% CI: 115.1%, 30.4%). Four of 54 malignant cases (7.4%; 95% CI: 2.4%, 18.1%) demonstrated margins positive for cancer that required re-excision. Five of 110 radiographs of the specimen (4.5%; 95% CI: 1.7%, 10.4%) demonstrated increased distance between the target and reflector distance of greater than 1.0 cm (range, 1.1-2.6 cm) compared with postprocedure mammogram the day of placement, three of five were associated with hematomas, two of five migrated without identifiable cause. No related postoperative complications were identified. Conclusion Savi Scout is an accurate, reliable method to localize and excise breast lesions with acceptable margin positivity and re-excision rates. Bracketing is possible with reflectors as close as 2.6 cm. Savi Scout overcomes many limitations of other localization methods, which warrants further study. RSNA, 2017.