Purpose: Oligometastatic disease can potentially be cured when an optimal approach is performed. Early recurrence after liver resection is an intractable problem, and the clinical implications remain unknown in colorectal liver oligometastases (CLOM) patients. This study aimed to investigate the clinical characteristics, risk factors, and prognosis related to early recurrence in these patients.
Methods: A total of 307 consecutive patients with CLOM undergoing curative liver resection were retrospectively reviewed between September 1999 and June 2016. Early recurrence was defined as any recurrence or death from CLOM that occurred within 6 months of liver resection.
Results: With a median follow-up time of 31.7 months, the 3-year overall survival (OS) and recurrence-free survival rates were 68.7 and 42.5%, respectively. Forty-nine (16.0%) patients developed early recurrence and showed a poorer 3-year OS than those with non-early recurrence (22.3 vs. 75.8%, P < 0.001) or later recurrence (22.3 vs. 52.8 vs. 63.2%, P < 0.001). Moreover, early recurrence was identified as an independent predictor of 3-year OS [hazard ratio (HR) 6.282; 95% confidence interval (CI) 3.980-9.915, P < 0.001]. In multivariate analysis, a node-positive primary tumor [odds ratio (OR) 2.316; 95% CI 1.097-4.892, P = 0.028) and metastatic diameter > 3 cm (OR 2.560; 95% CI 1.290-5.078; P = 0.007) were shown to be risk factors for early recurrence. The salvage liver resection rate for patients with early recurrence was significantly lower than that for patients with later recurrence (4.1 vs. 19.7%, P = 0.010).
Conclusions: Early recurrence should be investigated in routine clinical practice, even in patients with CLOM after curative liver resection. Detailed preoperative comprehensive measurements might help stratify high-risk patients, and a non-surgical treatment for early recurrence might represent an effective alternative.
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http://dx.doi.org/10.1007/s00432-017-2538-8 | DOI Listing |
Eur J Radiol Open
June 2025
Department of Nuclear Medicine, Medical Faculty and University Hospital Duesseldorf, Heinrich Heine University Duesseldorf, Düsseldorf 40225, Germany.
Objective: [F]FDG imaging is an integral part of patient management in CAR-T-cell therapy for recurrent or therapy-refractory DLBCL. The calculation methods of predictive power of specific imaging parameters still remains elusive. With this retrospective study, we sought to evaluate the predictive power of the baseline metabolic parameters and tumor burden calculated with automated segmentation via different thresholding methods for early therapy failure and mortality risk in DLBCL patients.
View Article and Find Full Text PDFKorean J Neurotrauma
December 2024
Department of Neurosurgery, Kyungpook National University Hospital, Kyungpook National University School of Medicine, Daegu, Korea.
This case report describes a rare presentation of antineutrophil cytoplasmic antibodies-associated hypertrophic pachymeningitis in a 49-year-old woman with cranial and spinal lesions. Initial management comprised decompressive laminectomy and steroid therapy, with the subsequent addition of immunosuppressant therapy following symptom recurrence. After a ten-year follow-up, significant symptom improvement and return of motor function were noted.
View Article and Find Full Text PDFCureus
December 2024
Medical Oncology, Healthcare Global Enterprises (HCG) Cancer Center, Bangalore, IND.
Background Clinicians use prognostic biomarker/multi-gene-based tests for predicting recurrence in hormone receptor-positive/HER2-negative (HR+/HER2-) early-stage breast cancer (EBC). CanAssist Beast (CAB) uses the expression of five protein biomarkers in combination with tumor-specific parameters such as tumor size, histopathological grade, and lymph node status to predict the risk of distant recurrence within five years of diagnosis for patients with HR+/HER2-, EBC. The current study aimed to evaluate the impact of prognostic tests on adjuvant chemotherapy decisions by assessing the agreement between clinical and CAB risk stratification as low-risk (LR) or high-risk (HR) for distant recurrence.
View Article and Find Full Text PDFPrz Gastroenterol
September 2024
Department of Surgery, General University Hospital of Patras, Patras, Greece.
Artificial intelligence (AI) and image processing are revolutionising the diagnosis and management of liver cancer. Recent advancements showcase AI's ability to analyse medical imaging data, like computed tomography scans and magnetic resonance imaging, accurately detecting and classifying liver cancer lesions for early intervention. Predictive models aid prognosis estimation and recurrence pattern identification, facilitating personalised treatment planning.
View Article and Find Full Text PDFCRSLS
January 2025
Department of Surgery, King Khalid University Hospital, Riyadh, Saudi Arabia.
Background: Obesity is an alarmingly increasing global public health issue. Laparoscopic sleeve gastrectomy (LSG) is the most common bariatric surgery owing to its simplicity, effectiveness, and low complication rates. The complications can be classified as early or late, with fistula formation being one of the most severe complications.
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