Newly Diagnosed Mental Health Disorders in Patients With Breast Cancer Receiving Radiation Therapy.

PURPOSE: Patients with a mental health disorder (MHD) have higher age-adjusted mortality compared with the general population. Few reports investigate factors contributing to MHD among patients with breast cancer receiving radiation therapy. We report the incidence of acquired MHD after the diagnosis of breast cancer and treatment with radiation therapy. METHODS AND MATERIALS: Using a single institution, prospectively maintained database, we analyzed patients with breast cancer treated with radiation therapy between 2012 and 2017. We cross-referenced these patients with newly acquired International Classification of Diseases, Tenth Revision (ICD-10) MHD codes (F01-F99) within 3 years postbreast cancer diagnosis. The study included baseline National Comprehensive Cancer Network® (NCCN) distress tool scores and area deprivation index (ADI). Univariate and multivariable (MVA) Cox regression analyses were conducted to evaluate factors affecting new MHD onset. RESULTS: Of the 967 included patients, 318 (33%) developed an MHD after their breast cancer diagnosis, which was predominately anxiety (45.1%) and depression (20.1%) related, with a median (IQR) time to diagnosis of 30 (24-33) months. Univariate analysis showed lymph node-positive disease, receipt of chemotherapy, receipt of a mastectomy, high comorbidity index, divorced status, retired status, and fourth-quartile ADI as significant predictors. On MVA, only receipt of chemotherapy (hazard ratio [HR], 1.70; P = .014) and divorced status (HR, 2.04; P = .009) remained significant. Fourth-quartile ADI, retired status, and high comorbidity index showed trends toward significance (HR, 1.78, P = .065; HR, 1.46, P = .094; HR, 1.41, P = .059, respectively). On MVA examining the effects of the radiation therapy type on MHD, whole breast with regional nodal irradiation (HR, 2.31, P = .015) and postmastectomy radiation therapy (HR, 1.88, P = .024) were both strong predictors of MHD development. Additionally, an NCCN distress tool score of >3 was also predictive of MHD onset. CONCLUSIONS: In this cohort, 1 in 3 patients with localized breast cancer developed a new MHD, predominantly related to anxiety and depression. MHD risk was higher among divorced patients, those receiving chemotherapy, and patients receiving postmastectomy radiation therapy or whole breast with regional nodal irradiation. These findings highlight the importance of future studies and targeted interventions to support this vulnerable population.

Near-Surface Dose Correlates With Moist Desquamation and Unplanned Reconstructive Surgery in Patients With Implant-Based Reconstruction Receiving Postmastectomy Radiation Therapy.

Purpose: Postmastectomy radiation therapy (PMRT) reduces disease recurrence in appropriately selected patients but may compromise implant-based reconstruction. We investigated whether near-surface dose correlates with radiation-related toxic effects in these patients. Methods and Materials: Patients receiving PMRT at a single institution from 2016 to 2019 were retrospectively reviewed. Patient demographics and treatment information were collected. Three near-surface structures were retrospectively generated, bound by the chest wall tangent beam as well as the skin surface and the skin-3 mm contour (SR3), skin surface and skin-5 mm contour (SR5), or skin-5 and skin-10 mm contours. Dosimetric analysis of these near-surface contours was performed in 2 Gy intervals. Univariate and multivariate analyses were used to identify predictors of moist desquamation, grade 2+ chest wall pain, use of opiate pain medication, unplanned reconstructive surgery, and implant failure. Logistic regression for each outcome and near-surface contour was performed for receiver-operator area under the curve (AUC) analysis and the Youden J Statistic was used to determine the optimal threshold for each dosimetric parameter. Results: Of 126 patients reviewed, 109 met the study's eligibility criteria. Median follow-up was 2.3 years. Twenty-five patients (23%) underwent unplanned reconstructive surgery, and 10 (9.2%) experienced implant failure. Among clinical variables, low body mass index and history of smoking predicted unplanned surgery on univariate and multivariate analyses, and moist desquamation predicted grade 2+ chest wall pain. The top dosimetric parameters by AUC for moist desquamation, grade 2+ chest wall pain, use of opiates, unplanned reconstructive surgery, and implant failure were SR5 D10 cc (AUC = 0.701, optimal threshold 57.8 Gy, P < .001), SR3 D10 cc (AUC = 0.600, optimal threshold 56.8 Gy, P = .079), SR5 D10 cc (AUC = 0.642, optimal threshold 57.3 Gy, P = .041), SR3 V44 Gy (AUC = 0.711, optimal threshold 81%, P = .001), and SR3 V44 Gy (AUC = 0.688, optimal threshold 82%, P = .052), respectively. Conclusions: Near-surface dose correlates with moist desquamation and unplanned reconstructive surgery after PMRT. Further evaluation of prospective optimization of dosimetric parameters related to SR3 and SR5 should be considered.

Perivascular Epithelioid Cell Tumor of the Buttock Region.

Perivascular epithelioid cell neoplasms, also known as PEComas, are a group of rare mesenchymal tumors that have a perivascular distribution and have no known counterpart to normal cells. The PEComa grouping includes angiomyolipomas, lymphangioleiomyomatoses, clear cell (sugar) tumors at extrapulmonary and intrapulmonary sites, clear cell myomelanocytic tumor of the falciform ligament/ligamentum teres among others. These rare tumors most commonly arise in the uterus. Here, we present an unusual case of malignant PEComa arising in the buttock region.

Omission of Axillary Lymph Node Dissection is Associated with Inferior Survival in Breast Cancer Patients with Residual N1 Nodal Disease Following Neoadjuvant Chemotherapy.

BACKGROUND: The appropriateness of substituting sentinel lymph node dissection (SLND) and regional nodal irradiation (RNI) for axillary lymph node dissection (ALND) in patients with residual lymph node (LN) disease following neoadjuvant chemotherapy (NAC) is unknown. We used the National Cancer Database (NCDB) to compare survival following SLND and ALND in breast cancer patients with residual LN disease. METHODS: We analyzed NCDB patients, treated between 2006 and 2014, with cT1-3, cN1, cM0 breast cancer and residual disease in 1-3 axillary LNs (ypN1) following NAC. Patients were grouped into those who received SLND (defined as removal of ≤ 4 LNs) and RNI, or ALND and RNI. Patients were matched for all patient, tumor, and treatment characteristics. RESULTS: We identified 1313 eligible patients in the ALND group and 304 patients in the SLND group. For the matched cohorts, SLND was associated with significantly lower survival in both univariate and doubly robust multivariable analyses (MVA) (HR 1.7, 95% CI 1.3-2.2, P < 0.001 for MVA), with estimated 5-year OS of 71%, compared with 77% in the ALND group (P = 0.01). Exploratory subgroup analyses showed that SLND was comparable with ALND in patients with luminal A or B tumors with a single metastatic LN (HR 1.03, 95% CI 0.59-1.8, (P = 0.91). CONCLUSIONS: Our analysis suggests that, while an ALND may not be needed for patients with limited residual nodal burden and biologically favorable tumors, SLND should not be routinely substituted for ALND in patients with ypN1 disease following NAC until its efficacy is confirmed by prospective trials.

Hippocampus segmentation on noncontrast CT using deep learning.

PURPOSE: Accurate segmentation of the hippocampus for hippocampal avoidance whole-brain radiotherapy currently requires high-resolution magnetic resonance imaging (MRI) in addition to neuroanatomic expertise for manual segmentation. Removing the need for MR images to identify the hippocampus would reduce planning complexity, the need for a treatment planning MR imaging session, potential uncertainties associated with MRI-computed tomography (CT) image registration, and cost. Three-dimensional (3D) deep convolutional network models have the potential to automate hippocampal segmentation. In this study, we investigate the accuracy and reliability of hippocampal segmentation by automated deep learning models from CT alone and compare the accuracy to experts using MRI fusion. METHODS: Retrospectively, 390 Gamma Knife patients with high-resolution CT and MR images were collected. Following the RTOG 0933 guidelines, images were rigidly fused, and a neuroanatomic expert contoured the hippocampus on the MR, then transferred the contours to CT. Using a calculated cranial centroid, the image volumes were cropped to 200 × 200 × 35 voxels, which were used to train four models, including our proposed Attention-Gated 3D ResNet (AG-3D ResNet). These models were then compared with results from a nested tenfold validation. From the predicted test set volumes, we calculated the 100% Hausdorff distance (HD). Acceptability was assessed using the RTOG 0933 protocol criteria, and contours were considered passing with HD ≤ 7 mm. RESULTS: The bilateral hippocampus passing rate across all 90 models trained in the nested cross-fold validation was 80.2% for AG-3D ResNet, which performs with a comparable pass rate (P = 0.3345) to physicians during centralized review for the RTOG 0933 Phase II clinical trial. CONCLUSIONS: Our proposed AG-3D ResNet's segmentation of the hippocampus from noncontrast CT images alone are comparable to those obtained by participating physicians from the RTOG 0933 Phase II clinical trial.

Mapping of Metastatic Level I Axillary Lymph Nodes in Patients with Newly Diagnosed Breast Cancer.

PURPOSE: We examined the distribution of pretreatment nodal metastases to the level I axilla (Ax-L1) to assess the appropriateness of current breast atlases and provide guidelines in relationship to easily identifiable anatomic landmarks for accurate delineation of this lymph node (LN) basin. METHODS AND MATERIALS: Patients with newly diagnosed breast cancer and biopsy-proven metastatic Ax-L1 LNs were identified. We related the location of each LN to its most adjacent rib and its distance from the bottom of the humeral head, axillary vessels, and a line connecting the anterior aspects of the pectoralis and latissimus dorsi muscles (P-L line). LNs were mapped onto a representative planning computed tomography scan, and their distribution was used to validate the current Radiation Therapy Oncology Group, European Society for Radiotherapy and Oncology, and Radiotherapy Comparative Effectiveness breast atlases. Furthermore, we examined metastases to a subregion encompassing the superolateral Ax-L1, irradiation of which correlates highly with lymphedema. RESULTS: We identified 106 eligible patients with 107 biopsied LNs. All LNs fell between the second and fifth ribs (mean, 3.8 ± 0.56). Mean distance from the inferior aspect of the humeral head was 4.3 ± 1.6 cm (range, 0.3-8.4). Mean distance from the inferior aspect of the axillary vessels was 2.9 ± 1.5 cm (range, -0.6 to 5.4). Mean distance from the P-L line was 0.01 ± 1.9 cm (range, -2.2 to 2.4); negative and positive values denote medial or lateral to the P-L line. A Radiation Therapy Oncology Group-compliant Ax-L1 consensus contour, created from contours by 4 attending breast radiation oncologists, partially or fully missed 45% of mapped LNs. European Society for Radiotherapy and Oncology- and Radiotherapy Comparative Effectiveness-compliant Ax-L1 similarly missed 46% and 34% of mapped LNs, respectively. LNs were most frequently missed in the lateral direction. The superolateral Ax-L1 encompassed 9.3% of the mapped LNs. CONCLUSIONS: A significant percentage of at-risk Ax-L1 tissue falls outside current contouring atlases. We propose expansion of the recommended Ax-L1 borders, most notably in the lateral direction.

Do Prostate Cancer Patients With Markedly Elevated PSA Benefit From Radiation Therapy?: A Population-based Study.

OBJECTIVES: Patients with clinically localized prostate cancer but markedly elevated prostate-specific antigen (PSA) are often treated with systemic agents alone. We hypothesized that they would benefit from radiation therapy. METHODS: We utilized the Survival, Epidemiology and End Results (SEER) Database for patients diagnosed with nonmetastatic prostate cancer from 2004 to 2008. Patients treated surgically or with brachytherapy were excluded. Survival was analyzed using the Kaplan-Meier method and Cox proportional hazard models. Propensity score was used to adjust for the nonrandomized assignment of local therapies. RESULTS: A total of 75,539 nonmetastatic prostate cancer patients were identified who received either radiotherapy or no local treatment. Median age was 70 years. Median follow-up of alive subjects was 60 months, with an interquartile range of 47 to 77 months. Estimated 4-year overall survival of entire population was 88%. Significant prognostic variables for overall survival on multivariate analysis included age, grade, PSA level, T stage, and use of radiation therapy. Use of radiation therapy was the most powerful predictor of both cause-specific and overall survival (HR=0.41 and 0.46, respectively, P<0.001). The benefit conferred by local treatment was seen even in subjects with PSA≥75 ng/mL. Four-year cancer-specific survival was 93.8% in those receiving radiation treatments versus 76.5% in those who did not receive any local treatment. CONCLUSIONS: Survival was significantly improved by radiotherapy for localized prostate cancer. Extremely high PSA levels (≥25 ng/mL) should not be considered a contraindication to local treatment.

Towards a nanoscale mammographic contrast agent: development of a modular pre-clinical dual optical/x-ray agent.

Contrast-enhanced digital mammography (CEDM) can provide improved breast cancer detection and characterization compared to conventional mammography by imaging the effects of tumour angiogenesis. Current small-molecule contrast agents used for CEDM are limited by a short plasma half-life and rapid extravasation into tissue interstitial space. To address these limitations, nanoscale agents that can remain intravascular except at sites of tumour angiogenesis can be used. For CEDM, this agent must be both biocompatible and strongly attenuate mammographic energy x-rays. Nanoscale perfluorooctylbromide (PFOB) droplets have good x-ray attenuation and have been used in patients for other applications. However, the macroscopic scale of x-ray imaging (50-100 µm) is inadequate for direct verification that PFOB droplets localize at sites of breast tumour angiogenesis. For efficient pre-clinical optimization for CEDM, we integrated an optical marker into PFOB droplets for microscopic assessment (≪50 µm). To develop PFOB droplets as a new nanoscale mammographic contrast agent, PFOB droplets were labelled with fluorescent quantum dots (QDs). The droplets had mean diameters of 160 nm, fluoresced at 635 nm and attenuated x-ray spectra at 30.5 keV mean energy with a relative attenuation of 5.6 ± 0.3 Hounsfield units (HU) mg(-1) mL(-1) QD-PFOB. With the agent loaded into tissue phantoms, good correlation between x-ray attenuation and optical fluorescence was found (R(2) = 0.96), confirming co-localization of the QDs with PFOB for quantitative assessment using x-ray or optical methods. Furthermore, the QDs can be removed from the PFOB agent without affecting its x-ray attenuation or structural properties for expedited translation of optimized PFOB droplet formulations into patients.

In vitro assessment of poly-iodinated triglyceride reconstituted low-density lipoprotein: initial steps toward CT molecular imaging.

RATIONALE AND OBJECTIVES: Targeted molecular probes offer the potential for greater specificity in cancer imaging with contrast-enhanced computed tomography (CT). We investigate a low-density lipoprotein (LDL) nanoparticle loaded with poly-iodinated triglyceride (ITG) in a proof of concept study of targeted x-ray imaging. LDLs are targeted to the LDL cell surface receptor (LDLR), which is overexpressed in several tumor types. The LDL-LDLR pathway presents a high-capacity and self-renewing transport system for molecular imaging in CT. MATERIALS AND METHODS: ITG was synthesized and loaded into the core of LDL particles to form a reconstituted nanoparticle, hereafter referred to as (rITG)LDL. Particle size was measured by dynamic light scattering. The x-ray attenuation of the (rITG)LDL solution was measured with CT imaging and signal enhancement was calibrated for equivalent iodine concentration. Cultured human hepatoblastoma G2 (HepG2) cells, which overexpress LDLR, were incubated with (rITG)LDL with or without native LDL. The cells were imaged with CT to characterize particle sequestration. RESULTS: Reconstitution of LDL with ITG was successful and did not compromise the targeting function of the particle. Measurement of the x-ray attenuation properties of the (rITG)LDL solution revealed an effective iodine concentration of 0.78 mg/mL. In vitro studies of HepG2 cells demonstrated a significant increase in CT image intensity over control cells when incubated with (rITG)LDL. CONCLUSION: The in vitro results of this study suggest that (rITG)LDL can provide adequate image enhancement for CT molecular imaging. Potential applications include breast imaging and small animal imaging at low x-ray energies. In vivo experiments will be required to verify that tumor uptake of (rITG)LDL is sufficient for enhanced detection. Use at higher x-ray energies, as used in conventional CT, will require a further increase in iodine loading.