Importance of Local Ablative Therapies for Lung Metastases in Patients With Colorectal Cancer.

OBJECTIVE: To assess the effect of local ablative therapy (LAT) on overall survival in patients with lung metastases from colorectal cancer (CRC) compared with patients treated with systemic therapy. SUMMARY BACKGROUND DATA: CRC affects approximately 1.4 million individuals worldwide every year. The lungs are commonly affected by CRC, and there is no treatment standard for a secondary lung metastasis from CRC. METHODS: This longitudinal, retrospective cohort study (2010-2018) quantified the pulmonary and extrapulmonary tumor burden of 1143 patients by retrospectively reviewing computed tomography images captured at diagnosis. A comprehensive multidisciplinary approach informed how and when surgery and/or stereotactic body radiotherapy was administered. RESULTS: Among 1143 patients, 473 patients (41%) received LAT, with surgery first (n = 421) or stereotactic ablative radiation therapy first (n = 52) either at the time of diagnosis (n = 288), within 1 year (n = 132), or after 1 year (n = 53). LAT was repeated in 158 patients (33.4%, 384 total sessions) when new lung metastases were detected. The 5- and 10-year survival rates for patients treated with LAT (71.2% and 64.0%, respectively) were significantly higher than those of patients treated with systemic therapy alone (14.2% and 10.0%, respectively; P <0.001). The overall survival of patients who received LAT intervention increased as the total tumor burden decreased. CONCLUSIONS: A high long-term survival rate was achievable in a significant portion of patients with lung metastasis from CRC by the timely administrations of LAT to standard systemic therapy. The tumor burden and LAT feasibility should be included in a discussion during the follow-up period.

Automated Computer-Aided Detection of Lung Nodules in Metastatic Colorectal Cancer Patients for the Identification of Pulmonary Oligometastatic Disease.

PURPOSE: This study aimed to explore the possibility and clinical utility of existing artificial intelligence (AI)-based computer-aided detection (CAD) of lung nodules to identify pulmonary oligometastases. PATIENTS AND METHODS: The chest computed tomography (CT) scans of patients with lung metastasis from colorectal cancer between March 2006 and November 2018 were analyzed. The patients were selected from a database of 1395 patients and studied in 2 cohorts. The first cohort included 50 patients, and the CT scans of these patients were independently evaluated for lung-nodule (≥3 mm) detection by a CAD-assisted radiation oncologist (CAD-RO) as well as by an expert radiologist. Interobserver variability by 2 additional radiation oncologists and 2 thoracic surgeons were also measured. In the second cohort of 305 patients, survival outcomes were evaluated based on the number of CAD-RO-detected nodules. RESULTS: In the first cohort, the sensitivity and specificity of the CAD-RO for identifying oligometastatic disease (OMD) from varying criteria by ≤2 nodules, ≤3 nodules, ≤4 nodules, and ≤5 nodules were 71.9% and 88.9%, 82.9% and 93.3%, 97.1% and 73.3%, and 97.5% and 90.0%, respectively. The sensitivity of the CAD-RO in the nodule detection compared with the radiologist was 81.6%. The average (standard deviation) sensitivity in interobserver variability analysis was 80.0% (3.7%). In the second cohort, the 5-year survival rates of patients with 1, 2, 3, 4, or ≥5 metastatic nodules were 75.2%, 52.9%, 45.7%, 29.1%, and 22.7%, respectively. CONCLUSIONS: Proper identification of the pulmonary OMD and the correlation between the number of CAD-RO-detected nodules and survival suggest the potential practicality of AI in OMD recognition. Developing a deep learning-based model specific to the metastatic setting, which enables a quick estimation of disease burden and identification of OMD, is underway.

Automated coronary artery calcium scoring in patients with breast cancer to assess the risk of heart disease following adjuvant radiation therapy.

AIM: Validation of coronary artery calcium (CAC) scores as prognostic factors of acute coronary events (ACE) development in breast cancer patients are demanded. We investigated prognostic impact of CAC on ACE development with cardiac exposure to radiation. METHODS: We evaluated breast cancer patients with (n = 511) or without (n = 600) adjuvant radiotherapy (RT) between 2005 and 2013. CAC Agatston scores were analyzed using a deep-learning-based algorithm. Individual mean heart dose (MHD) was calculated, and no RT was categorized as 0 Gy. The primary endpoint was the development of ACE following breast surgery. RESULTS: In the RT and no-RT cohorts, 11.2% and 3.7% exhibited CAC >0, respectively. Over a 9.3-year follow-up period, the 10-year ACE rate was 0.7%. In the multivariate analysis, the CAC score was a significant risk factor for ACE (CAC >0 vs CAC = 0, 10-year 6.2% vs 0.2%, P < 0.001). In the subgroup with CAC >0, the 10-year ACE rates were 0%, 3.7%, and 13.7% for patients receiving mean heart doses of 0 Gy, 0-3 Gy, and >3 Gy, respectively (P = 0.133). Although CAC score was not predictive for non-ACE heart disease risk (P > 0.05), the 10-year non-ACE heart disease rates were 1.7%, 5.7%, and 7.1% for patients with CAC = 0 receiving MHD of 0 Gy, 0-3 Gy, and >3 Gy, respectively (P < 0.001). CONCLUSIONS: The CAC score was a significant predictor of ACE in patients with breast cancer. Although further studies are required, CAC score screening on simulation CT in patients undergoing breast RT can help identify those with high risk for ACE on a per-patient basis.

Synthetic contrast-enhanced computed tomography generation using a deep convolutional neural network for cardiac substructure delineation in breast cancer radiation therapy: a feasibility study.

BACKGROUND: Adjuvant radiation therapy improves the overall survival and loco-regional control in patients with breast cancer. However, radiation-induced heart disease, which occurs after treatment from incidental radiation exposure to the cardiac organ, is an emerging challenge. This study aimed to generate synthetic contrast-enhanced computed tomography (SCECT) from non-contrast CT (NCT) using deep learning (DL) and investigate its role in contouring cardiac substructures. We also aimed to determine its applicability for a retrospective study on the substructure volume-dose relationship for predicting radiation-induced heart disease. METHODS: We prepared NCT-CECT cardiac scan pairs of 59 patients. Of these, 35, 4, and 20 pairs were used for training, validation, and testing, respectively. We adopted conditional generative adversarial network as a framework to generate SCECT. SCECT was validated in the following three stages: (1) The similarity between SCECT and CECT was evaluated; (2) Manual contouring was performed on SCECT and CECT with sufficient intervals and based on this, the geometric similarity of cardiac substructures was measured between them; (3) The treatment plan was quantitatively analyzed based on the contours of SCECT and CECT. RESULTS: While the mean values (± standard deviation) of the mean absolute error, peak signal-to-noise ratio, and structural similarity index measure between SCECT and CECT were 20.66 ± 5.29, 21.57 ± 1.85, and 0.77 ± 0.06, those were 23.95 ± 6.98, 20.67 ± 2.34, and 0.76 ± 0.07 between NCT and CECT, respectively. The Dice similarity coefficients and mean surface distance between the contours of SCECT and CECT were 0.81 ± 0.06 and 2.44 ± 0.72, respectively. The dosimetry analysis displayed error rates of 0.13 ± 0.27 Gy and 0.71 ± 1.34% for the mean heart dose and V5Gy, respectively. CONCLUSION: Our findings displayed the feasibility of SCECT generation from NCT and its potential for cardiac substructure delineation in patients who underwent breast radiation therapy.

ViroidDB: a database of viroids and viroid-like circular RNAs.

We introduce ViroidDB, a value-added database that attempts to collect all known viroid and viroid-like circular RNA sequences into a single resource. Spanning about 10 000 unique sequences, ViroidDB includes viroids, retroviroid-like elements, small circular satellite RNAs, ribozyviruses, and retrozymes. Each sequence's secondary structure, ribozyme content, and cluster membership are predicted via a custom pipeline optimized for handling circular RNAs. The data can be explored via a purpose-built user interface that features visualizations, multiple sequence alignments, and a portal for downloading bulk data. Users can browse the data by sequence type, taxon, or typo-tolerant search of metadata fields. The database is freely accessible at https://viroids.org.

The Risk of Tumor Contamination Associated With Thoracic Instrumentation in Patients With Osteosarcoma: 2 Case Reports and a Literature Review.

Orthopedic surgeons are well aware of tumor contamination at the site of initial biopsy in osteosarcoma. However, tumor contamination in patients with osteosarcoma associated with thoracic instrumentation is not well described. The authors summarize 2 reported cases in addition to the 2 cases at their institution of this phenomenon. Knowledge of tumor contamination and preventative measures against tumor contamination is sparse in the literature, especially pertaining to patients with osteosarcoma undergoing thoracic instrumentation. In this report, the authors hope to increase awareness of these cases and suggest preventative measures to mitigate against tumor contamination in patients with osteosarcoma. The authors report that the median time between thoracic instrumentation and the visible detection of tumor migration to local sites was 5 months. They conclude that tumor contamination associated with thoracic instrumentation is characterized by patients with multiple sites of relapse and aggressive, fatal disease.

Harlequin syndrome following microwave ablation in a child with a symptomatic paraspinal mass.

Our goal is to describe a case of Harlequin syndrome associated with microwave ablation in the treatment of a symptomatic paraspinal mass in a child, along with a summary of the literature. Our patient is the only known case of persistent Harlequin syndrome associated with microwave ablation treatment of a symptomatic paraspinal mass. Harlequin syndrome is a rare neurological condition characterised by unilateral sweating and flushing of the face, neck and/or upper chest. The specific mechanism is unclear, but the majority of cases are believed to be a result of contralateral lesions along the sympathetic chain. CT-guided microwave ablation therapy is a minimally invasive technique used as an alternative to surgery in this case due to the risk and morbidity associated with excision of the mass. There is limited literature assessing the use and inherent risk of developing complications following microwave ablation to the paraspinal region in the paediatric population.

Effective Use of Sirolimus and Zoledronic Acid for Multiosteotic Pseudomyogenic Hemangioendothelioma of the Bone in a Child: Case Report and Review of Literature.

Pseudomyogenic hemangioendothelioma (PMH) is a rare neoplasm with vascular and sarcomatous elements, unpredictable course, and uncommon metastatic or fatal potential. Although systemic chemotherapy has been reported with variable success, generally accepted treatment is aggressive surgery with wide margins. Evidence-based treatment options are lacking, and lack of clear prognostic features poses a risk of undertreatment or overtreatment with associated morbidity and mortality. We report the use of initial systemic therapy with oral sirolimus (SIR) and IV zoledronic acid (ZA) to induce a sustained clinical response and avoidance of amputation in a 6-year-old boy. At 37 months after diagnosis, our patient remains in sustained clinical remission as documented by x-ray, MRI, and PET-CT with return of normal mobility/activity and resolution of swelling and pain. Literature review identified 20 cases of pediatric and young adult patients with PMH, of which 7 received some form of systemic therapy. To the best of our knowledge, our patient represents the youngest reported case of PMH and the first successful and limb-sparing utilization of systemic chemotherapy as primary treatment for PMH.

Clinical overview of dalfampridine: an agent with a novel mechanism of action to help with gait disturbances.

BACKGROUND: Medication used to treat multiple sclerosis (MS) can be categorized as disease-modifying therapies, symptomatic therapies, or treatment of acute exacerbations. Dalfampridine is the first symptomatic therapy approved by the Food and Drug Administration to improve walking in patients with MS. OBJECTIVE: This article reviews the pharmacology, pharmacodynamic properties, and pharmacokinetic properties of dalfampridine, as well as its clinical efficacy, safety profile, pharmacoeconomic considerations, and place in therapy. METHODS: Three PubMed searches were conducted for original articles published in English between 1966 and August 2012 with human study participants. Articles concerning the pharmacology, pharmacokinetic properties, pharmacodynamic properties, efficacy, and safety profile of dalfampridine were evaluated. RESULTS: Dalfampridine theoretically works to improve conduction and enhance walking by inhibiting potassium channels in the axonal membrane and by prolonging action potentials in demyelinated neurons. The efficacy of dalfampridine has been reported in 2 Phase III clinical trials in patients with MS. When comparing dalfampridine 10 mg twice daily with placebo, these studies found a statistically significant improvement in walking (42.9% vs 9.3% and 35% vs 8%; P < 0.001). However, clinical trials and postmarketing surveillance have shown an increased risk of seizures with dalfampridine use that appears to be dose related [corrected]. CONCLUSIONS: Dalfampridine has a unique mechanism of action, leading to its approval as the first symptomatic therapy for MS to improve walking speed. The increased risk of seizures can be a safety concern and will require health care providers to be diligent in monitoring patients and to ensure adequate patient education [corrected]. The addition of dalfampridine as symptomatic therapy for MS may lead to additional novel products in the future.