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Asian Spine Journal Jun 2024Retrospective study.
Correlation between the maximum standard uptake value and mean Hounsfield unit on single-photon emission computed tomography-computed tomography to discriminate benign and metastatic lesions among patients with breast cancer.
STUDY DESIGN
Retrospective study.
PURPOSE
To compare and correlate technetium-99m methylene diphosphonate uptake between benign and metastatic bone lesions using semiquantitative analysis of maximum standard uptake value (SUVmax) and mean Hounsfield unit (HU) in single-photon emission computed tomography-computed tomography (SPECT-CT).
OVERVIEW OF LITERATURE
Qualitative interpretation of metastatic bone lesions in breast cancer on bone scintigraphy is often complicated by coexisting benign lesions.
METHODS
In total, 185 lesions were identified on bone and SPECT-CT scans from 32 patients. Lesions were classified as metastatic (109 sclerotic lesions) and benign (76 lesions) morphologically on low-dose CT. Semiquantitative analysis using SUVmax and mean HU was performed on the lesions and compared. To discriminate benign and metastatic lesions, the correlation between SUVmax and mean HU was determined using the intraclass correlation coefficients.
RESULTS
The SUVmax was higher in metastatic lesions (20.66±14.36) but lower in benign lesions (10.18±12.79) (p<0.001). The mean HU was lower in metastatic lesions (166.62±202.02) but higher in benign lesions (517.65±192.8) (p<0.001). A weak negative correlation was found between the SUVmax and the mean HU for benign lesions, and a weak positive correlation was noted between the SUVmax and the mean HU on malignant lesions with no statistical significance (p=0.394 and 0.312, respectively). The cutoff values obtained were 10.8 for SUVmax (82.6% sensitivity and 84.2% specificity) and 240.86 for the mean HU (98.7% sensitivity and 88.1% specificity) in differentiating benign from malignant bone lesions.
CONCLUSIONS
Semiquantitative assessment using SUVmax and HU can complement qualitative analysis. Metastatic lesions had higher SUVmax but lower mean HU than benign lesions, whereas benign lesions demonstrated higher mean HU but lower SUVmax. A weak correlation was found between the SUVmax and the mean HU on malignant and benign lesions. Cutoff values of 10.8 for the SUVmax and 240.86 for the mean HU may differentiate bone metastases from benign lesions.
PubMed: 38917860
DOI: 10.31616/asj.2022.0451 -
JCO Clinical Cancer Informatics Jun 2024The estimation of prognosis and life expectancy is critical in the care of patients with advanced cancer. To aid clinical decision making, we build a prognostic strategy...
PURPOSE
The estimation of prognosis and life expectancy is critical in the care of patients with advanced cancer. To aid clinical decision making, we build a prognostic strategy combining a machine learning (ML) model with explainable artificial intelligence to predict 1-year survival after palliative radiotherapy (RT) for bone metastasis.
MATERIALS AND METHODS
Data collected in the multicentric PRAIS trial were extracted for 574 eligible adults diagnosed with metastatic cancer. The primary end point was the overall survival (OS) at 1 year (1-year OS) after the start of RT. Candidate covariate predictors consisted of 13 clinical and tumor-related pre-RT patient characteristics, seven dosimetric and treatment-related variables, and 45 pre-RT laboratory variables. ML models were developed and internally validated using the Python package. The effectiveness of each model was evaluated in terms of discrimination. A Shapley Additive Explanations (SHAP) explainability analysis to infer the global and local feature importance and to understand the reasons for correct and misclassified predictions was performed.
RESULTS
The best-performing model for the classification of 1-year OS was the extreme gradient boosting algorithm, with AUC and F1-score values equal to 0.805 and 0.802, respectively. The SHAP technique revealed that higher chance of 1-year survival is associated with low values of interleukin-8, higher values of hemoglobin and lymphocyte count, and the nonuse of steroids.
CONCLUSION
An explainable ML approach can provide a reliable prediction of 1-year survival after RT in patients with advanced cancer. The implementation of SHAP analysis provides an intelligible explanation of individualized risk prediction, enabling oncologists to identify the best strategy for patient stratification and treatment selection.
Topics: Humans; Machine Learning; Bone Neoplasms; Palliative Care; Male; Female; Prognosis; Aged; Middle Aged; Algorithms
PubMed: 38917384
DOI: 10.1200/CCI.24.00027 -
Journal of Cardiothoracic Surgery Jun 2024First rib tumors are extremely rare. Its compression of neurovascularity can easily lead to severe complications such as thoracic outlet syndrome, so early surgical... (Review)
Review
BACKGROUND
First rib tumors are extremely rare. Its compression of neurovascularity can easily lead to severe complications such as thoracic outlet syndrome, so early surgical resection is crucial. However, there is no standardized approach to surgery.
CASE PRESENTATION
A previously healthy 18-year-old Chinese male undergoes a chest computed tomography (CT) scan that incidentally reveals a raised calcified mass on the right first rib, which is most likely an osteochondroma when combined with magnetic resonance imaging (MRI). We achieved excellent results with resection and thoracic reconstruction by adopting an inverse L-shaped incision in the anterior chest and a longitudinal split of the sternum.
CONCLUSIONS
Our practice provides great reference for the surgical management of first rib tumors.
Topics: Humans; Male; Ribs; Osteochondroma; Adolescent; Bone Neoplasms; Tomography, X-Ray Computed; Magnetic Resonance Imaging; Manubrium
PubMed: 38915107
DOI: 10.1186/s13019-024-02902-9 -
World Journal of Surgical Oncology Jun 2024Clinical diagnosis and surgical treatment of chondrosarcoma (CS) are continuously improving. The purpose of our study is to evaluate the effectiveness of microwave...
AIM
Clinical diagnosis and surgical treatment of chondrosarcoma (CS) are continuously improving. The purpose of our study is to evaluate the effectiveness of microwave ablation (MWA) assisted degradation therapy in the surgical treatment of intramedullary chondrosarcoma of the extremities, to provide a new reference and research basis for the surgical treatment of CS.
METHODS
We recruited 36 patients with intramedullary CS who underwent MWA assisted extended curettage. Preoperative patient demographics and clinical data were recorded. Surgery was independently assisted by a medical team. Patients were followed up strictly and evaluated for oncological prognosis, radiological results, limb joint function, pain, and complications.
RESULTS
We included 15 men and 21 women (mean age: 43.5 ± 10.1). The average length of the lesion was 8.1 ± 2.5 cm. Based on preoperative radiographic, clinical manifestations, and pathological results of puncture biopsy, 28 patients were preliminarily diagnosed with CS-grade I and eight patients with CS-grade II. No recurrence or metastasis occurred in the postoperative follow-up. The average Musculoskeletal Tumor Society score was 28.8 ± 1.0, significantly better than presurgery. Secondary shoulder periarthritis and abduction dysfunction occurred in early postoperative stage CS of the proximal humerus in some, but returned to normal after rehabilitation exercise. Secondary bursitis occurred at the knee joint in some due to the internal fixation device used in treatment; however, secondary osteoarthritis and avascular necrosis of the femoral head were not observed. Overall, oncological and functional prognoses were satisfactory.
CONCLUSIONS
The application of MWA assisted degradation therapy in intramedullary CS can achieve satisfactory oncology and functional prognosis, providing a new option for the limited treatment of CS.
Topics: Humans; Male; Female; Chondrosarcoma; Adult; Bone Neoplasms; Microwaves; Middle Aged; Follow-Up Studies; Prognosis; Extremities; Curettage; Ablation Techniques
PubMed: 38914990
DOI: 10.1186/s12957-024-03443-0 -
BMC Cancer Jun 2024Nowadays, different therapeutic options are available for the first-line treatment of metastatic renal cell carcinoma (mRCC). Immuno-combinations are the standard... (Observational Study)
Observational Study
BACKGROUND
Nowadays, different therapeutic options are available for the first-line treatment of metastatic renal cell carcinoma (mRCC). Immuno-combinations are the standard first-line therapy in all mRCC patients regardless of the International Metastatic RCC Database Consortium (IMDC) risk category, even though TKI monotherapy is still a therapeutic option in selected patients. However, comparisons between the different first-line treatment strategies are lacking and few real-world data are available in this setting. For this reason, the regimen choice represents an important issue in clinical practice and the optimal treatment sequence remains unclear.
METHODS
The REGAL study is a multicentric prospective observational study enrolling mRCC patients treated with first-line systemic therapy according to clinical practice in a real-world setting. A retrospective cohort of mRCC patients who received first-line systemic therapy from the 1st of January 2021 will also be included. The primary objective is to identify potential prognostic and predictive factors that could help guide the treatment choice; secondary objectives included the assessment of the prognostic performance of the novel prognostic Meet-URO score (IMDC score + neutrophil-to-lymphocyte ratio + bone metastases) compared with the IMDC score and the comparison between treatment strategies according to response and survival outcomes and toxicity profile.
DISCUSSION
Considering the high number of therapeutic first-line strategies available for mRCC, the identification of clinical prognostic and predictive factors to candidate patients to a preferable systemic therapy is still an unmet clinical need. The Meet-URO 33 study aims to provide a large-scale real-world database on mRCC patients, to identify the clinical predictive and prognostic factors and the different performances between the ICI-based combinations according to response, survival and toxicity.
TRIAL REGISTRATION
CESC IOV 2023-78.
Topics: Carcinoma, Renal Cell; Humans; Kidney Neoplasms; Registries; Prospective Studies; Prognosis; Male; Female; Retrospective Studies; Middle Aged; Aged
PubMed: 38914928
DOI: 10.1186/s12885-024-12319-1 -
Scientific Reports Jun 2024This study aimed to establish a machine learning (ML) model for predicting hepatic metastasis in esophageal cancer. We retrospectively analyzed patients with esophageal...
This study aimed to establish a machine learning (ML) model for predicting hepatic metastasis in esophageal cancer. We retrospectively analyzed patients with esophageal cancer recorded in the Surveillance, Epidemiology, and End Results (SEER) database from 2010 to 2020. We identified 11 indicators associated with the risk of liver metastasis through univariate and multivariate logistic regression. Subsequently, these indicators were incorporated into six ML classifiers to build corresponding predictive models. The performance of these models was evaluated using the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and specificity. A total of 17,800 patients diagnosed with esophageal cancer were included in this study. Age, primary site, histology, tumor grade, T stage, N stage, surgical intervention, radiotherapy, chemotherapy, bone metastasis, and lung metastasis were independent risk factors for hepatic metastasis in esophageal cancer patients. Among the six models developed, the ML model constructed using the GBM algorithm exhibited the highest performance during internal validation of the dataset, with AUC, accuracy, sensitivity, and specificity of 0.885, 0.868, 0.667, and 0.888, respectively. Based on the GBM algorithm, we developed an accessible web-based prediction tool (accessible at https://project2-dngisws9d7xkygjcvnue8u.streamlit.app/ ) for predicting the risk of hepatic metastasis in esophageal cancer.
Topics: Humans; Machine Learning; Esophageal Neoplasms; Liver Neoplasms; Male; Female; Middle Aged; Aged; Retrospective Studies; Risk Factors; ROC Curve; SEER Program
PubMed: 38914571
DOI: 10.1038/s41598-024-63213-6 -
Cureus May 2024Appendicitis is a common surgical emergency marked by inflammation of the appendix, often due to blockage of the appendix lumen by fecoliths, lymphoid hyperplasia, or...
Appendicitis is a common surgical emergency marked by inflammation of the appendix, often due to blockage of the appendix lumen by fecoliths, lymphoid hyperplasia, or neoplasms. While various causes are known, appendicitis triggered by a foreign body (FB) is exceptionally rare. This case report highlights a rare presentation of appendicitis in a 32-year-old male with no significant medical history, who presented with acute lower right abdominal pain, fever, and vomiting. Initial evaluation suggested appendicitis, further supported by laboratory findings and diagnostic imaging revealing a retrocecal appendix with surrounding inflammation. Remarkably, an FB, a fish bone, was discovered lodged within the perforated appendix, elucidating the unusual etiology. Emergency laparotomy confirmed the diagnosis and facilitated prompt surgical intervention. This case underscores the importance of thorough evaluation and consideration of uncommon causes in patients presenting with acute abdominal pain, illustrating the critical role of detailed history-taking and clinical acumen in guiding management decisions and ensuring favorable patient outcomes.
PubMed: 38910666
DOI: 10.7759/cureus.60910 -
Journal of Radiology Case Reports 2024Intervertebral disc herniation, defined as the protrusion or extrusion of the disc mass outside the disc space, is common and easy to diagnose on conventional Magnetic... (Review)
Review
BACKGROUND
Intervertebral disc herniation, defined as the protrusion or extrusion of the disc mass outside the disc space, is common and easy to diagnose on conventional Magnetic Resonance imaging (MRI) or Computed Tomography (CT) scans. However, the sequestrated disc fragments are challenging to detect, and intervertebral disc mass displacement into the dural sac, which can lead to serious neurological problems such as Cauda equina syndrome (CES). The sequestrated disc fragments do not have specific clinical or radiological characteristics that can differentiate an atypical disc mass from a tumor, making the diagnosis difficult preoperatively. Herein, we describe the use of Sampling Perfection with Application Optimized Contrast using different flip angle Evolution in Magnetic Resonance Imaging (3D SPACE MRI) in the diagnosis of the intervertebral disc fragment that mimicked a tumor.
CASE PRESENTATION
In this study, we report two cases of sequestered lumbar disc herniation. The first case was a 37-year-old patient with a 2-year history of intermittent left lower limb pain that aggravates with exercise and is relieved at rest, while the second case was a 42-year-old patient with a history of 40 days of numbness and pain in the left lower limb.
CONCLUSION
3D SPACE MRI is a beneficial diagnostic imaging tool for discriminating between disc mass that mimics a tumor and a tumor before surgery. If the disc fragment mimicking a tumor can be identified before the operation, open surgical treatment won't be necessary for all patients.
Topics: Humans; Intervertebral Disc Displacement; Magnetic Resonance Imaging; Diagnosis, Differential; Adult; Lumbar Vertebrae; Imaging, Three-Dimensional; Male; Female; Spinal Neoplasms
PubMed: 38910587
DOI: 10.3941/jrcr.v18i1.5195 -
Signal Transduction and Targeted Therapy Jun 2024Pancreatic cancer is one of the deadly malignancies with a significant mortality rate and there are currently few therapeutic options for it. The tumor microenvironment...
Pancreatic cancer is one of the deadly malignancies with a significant mortality rate and there are currently few therapeutic options for it. The tumor microenvironment (TME) in pancreatic cancer, distinguished by fibrosis and the existence of cancer-associated fibroblasts (CAFs), exerts a pivotal influence on both tumor advancement and resistance to therapy. Recent advancements in the field of engineered extracellular vesicles (EVs) offer novel avenues for targeted therapy in pancreatic cancer. This study aimed to develop engineered EVs for the targeted reprogramming of CAFs and modulating the TME in pancreatic cancer. EVs obtained from bone marrow mesenchymal stem cells (BMSCs) were loaded with miR-138-5p and the anti-fibrotic agent pirfenidone (PFD) and subjected to surface modification with integrin α5-targeting peptides (named IEVs-PFD/138) to reprogram CAFs and suppress their pro-tumorigenic effects. Integrin α5-targeting peptide modification enhanced the CAF-targeting ability of EVs. miR-138-5p directly inhibited the formation of the FERMT2-TGFBR1 complex, inhibiting TGF-β signaling pathway activation. In addition, miR-138-5p inhibited proline-mediated collagen synthesis by directly targeting the FERMT2-PYCR1 complex. The combination of miR-138-5p and PFD in EVs synergistically promoted CAF reprogramming and suppressed the pro-cancer effects of CAFs. Preclinical experiments using the orthotopic stroma-rich and patient-derived xenograft mouse models yielded promising results. In particular, IEVs-PFD/138 effectively reprogrammed CAFs and remodeled TME, which resulted in decreased tumor pressure, enhanced gemcitabine perfusion, tumor hypoxia amelioration, and greater sensitivity of cancer cells to chemotherapy. Thus, the strategy developed in this study can improve chemotherapy outcomes. Utilizing IEVs-PFD/138 as a targeted therapeutic agent to modulate CAFs and the TME represents a promising therapeutic approach for pancreatic cancer.
Topics: Pancreatic Neoplasms; Extracellular Vesicles; Humans; Cancer-Associated Fibroblasts; Mice; MicroRNAs; Animals; Tumor Microenvironment; Cellular Reprogramming; Cell Line, Tumor; Mesenchymal Stem Cells; Neoplasm Proteins; Gemcitabine
PubMed: 38910148
DOI: 10.1038/s41392-024-01872-7 -
World Journal of Surgical Oncology Jun 2024Sinonasal malignant tumors are a group of uncommon malignancies that account for less than 1% of all tumors. These tumors often involve the maxillary sinus and nasal...
Sinonasal malignant tumors are a group of uncommon malignancies that account for less than 1% of all tumors. These tumors often involve the maxillary sinus and nasal cavity, with less cumulative incidence in the ethmoidal sinus, sphenoidal sinus, and frontal sinus. The lack of consensus on the management of sinonasal malignancies is due to their rarity, diagnostic challenges, and the heterogeneity of treatments. In this paper, we present a case of endoscopic-assisted medial canthus incision combined with radiotherapy in the treatment of sinonasal malignant tumors, with the aim of providing valuable insights to clinicians on the management of these tumors.
Topics: Humans; Esthesioneuroblastoma, Olfactory; Endoscopy; Nose Neoplasms; Nasal Cavity; Prognosis; Male; Middle Aged; Female; Paranasal Sinus Neoplasms
PubMed: 38909260
DOI: 10.1186/s12957-024-03448-9