Laparoscopic Resection of Transverse Colon Cancer with an Anomaly of the Middle Colic Artery Originating from the Splenic Artery: A Case Report.

Introduction: We encountered a colon cancer case with a very rare anomaly of the middle colic artery (MCA) originating from the splenic artery (SA). Case Presentation: A woman was referred to our hospital for transverse colon cancer. Three-dimensional computed tomography (3D-CT) angiography showed an anomalous MCA originating from the SA rather than from the superior mesenteric artery (SMA) as is typical. Laparoscopic left hemicolectomy with D3 lymph node dissection was performed. The lymph nodes around the SMA were dissected from the caudal view, confirming the absence of a typical MCA. An anomalous SA-originating MCA was identified just below the pancreas, where it was clipped and ligated; subsequently, total mesenteric excision was achieved. Conclusion: As D3 lymph node dissection for transverse colon cancer is technically difficult, 3D-CT angiography is useful for identifying vascular anomalies preoperatively, thereby avoiding intraoperative injury. This is the first case report of laparoscopic colectomy associated with a SA-originating MCA anomaly.

Stability of standardized uptake values for quantitative bone SPECT for jawbone lesions: a single-center cross-sectional study.

BACKGROUND: The long time required for bone uptake of radiopharmaceutical material after injection for bone scintigraphy is a burden for patients with poor health. Thus, to assess whether the uptake time could be reduced for single-photon emission computed tomography (SPECT) of the jawbone, this study evaluated differences in maximum standardized uptake values (SUVmax) within patients using SPECT imaging at 2 and 3 hours after radiopharmaceutical injection. METHODS: A total of 33 patients undergoing treatment or in post-treatment follow-up for medication-related osteonecrosis of the jaw, who visited our hospital between July 2020 and August 2021 and could receive SPECT twice on the same day, were enrolled in the study. Patients were injected with technetium-99 m hydroxymethylene diphosphonate (Tc-99 m HMDP) intravenously. The SUVmax for healthy parietal bones and jawbone lesions were calculated from the SPECT images using quantitative analysis software, and the SUVmax were compared between 2- and 3-hour uptake times. RESULTS: After exclusion, 30 patients were included in the study. In the 2-hour and 3-hour images, the median SUVmax of the parietal bones were 1.90 and 1.81, respectively, and those of the jawbone lesions were 9.25 and 9.39, respectively. The limits of agreement (LOA) ranged from - 0.33 to 0.25 in the parietal bones, and the %LOA ranged from - 9.8 to 17.3% in the jawbone lesions, showing high equivalence between the two uptake durations. The SUVmax showed no clinical differences between the 2- and 3-hour uptake durations for Tc-99 m HMDP SPECT of the jawbone. CONCLUSIONS: The results of this study justify a 2-3-hour uptake window when performing quantitative SPECT of the jawbone. Therefore, the minimum uptake time can potentially be reduced to only 2 hours.

Prevalence of sarcopenia in patients with gynecological cancer.

BACKGROUND: The aim of the study was to investigate a prevalence of sarcopenia in patients with gynecological cancer in accordance with current diagnostic criteria of sarcopenia. METHODS: A series of 513 patients with gynecological cancer who were intended to newly receive initial or salvage treatment were recruited in a prospective study. Eligible patients were examined with dual energy X-ray absorptiometry and underwent handgrip strength test and the Short Physical Performance Battery before treatment. Sarcopenia was defined as both low skeletal muscle mass (skeletal muscle mass index) and low muscle strength (handgrip strength of <18.0 kg) or both low skeletal muscle mass index and low physical performance (Short Physical Performance Battery score of ≤9). RESULTS: A total of 475 patients (92.6%) were completely assessed in this study. Eligible patients' median age was 60 years (range: 29-89 years). Frequencies of patients with low skeletal muscle mass index, low hand grip strength and low Short Physical Performance Battery were 118 (24.8%), 70 (14.7%) and 80 (16.8%), respectively. Sarcopenia was finally identified in 45 patients (9.5%), which accounted for 38.1% of patients with low skeletal muscle mass index, 64.3% of the patients with low hand grip strength and 56.3% of the patients with low physical performance, respectively. CONCLUSIONS: The prevalence of sarcopenia of 9.5% in patients with gynecological malignancy who were scheduled to newly receive an initial or a salvage treatment. A large-scale, nation-wide study might be planned to elucidate an accurate prevalence of sarcopenia among gynecologic cancer patients.

Validity of skeletal muscle mass index measurements for assessing sarcopenia in patients with gynecological cancer.

BACKGROUND: The current study investigated an optimal method for using CT scan in detection of low skeletal muscle mass quantity (SMQ). METHODS: In total, 82 consecutive patients with gynecological cancers were examined using computed tomography (CT) and dual-energy X-ray absorptiometry (DEXA) before treatment. Low SMQ was defined as a DEXA-based skeletal muscle mass index (SMI) of <5.40 kg/m2. Furthermore, CT-based SMI values were measured by six evaluators, and each evaluator measured SMI values two times for each subject. The first SMI value and the average SMI value were used for analyses. Receiver operating characteristic (ROC) analyses were performed to evaluate the performance of CT-based SMI measurements for detecting low SMQ. Interobserver agreement was assessed using the intraclass correlation coefficient (ICC). RESULTS: In total, 23 patients (28.0%) were diagnosed with low skeletal muscle mass. All areas under the curve (AUC) values from twelve (six evaluators × two measurements) ROC curves were within the range of 0.8-0.9. AUC values based on a single measurement and those based on two measurements were almost the same. The ICC was 0.828 (95% CI 0.777-0.874, P < 0.001) when using a single measurement value and increased to 0.959 (95% CI 0.944-0.971, P < 0.001) when using the average of the two measurements. CONCLUSIONS: A single measurement CT-based SMI efficiently identified patients with low SMQ in a daily clinical setting. The reliability of SMI measurements might be further improved by using a mean value of two measurements compared with the use of a single measurement value.

Clinical implication of psoas muscle mass measurement for predicting death within 3 months in patients with incurable uterine cervical or corpus malignancy.

OBJECTIVE: The aim of this study was to find a clinical marker for identifying refractory cancer cachexia. METHODS: We analyzed computed tomography imaging data, which included the third lumbar vertebra, from 94 patients who died of uterine cervix or corpus malignancy. The time between the date of examination and date of death was the most important attribute for this study, and the computed tomography images were classified into >3 months before death and ≤ 3 months before death. Psoas muscle mass index was defined as the left-right sum of the psoas muscle areas (cm2) at the level of third lumbar vertebra, divided by height squared (m2). RESULTS: A data set of 94 computed tomography images was obtained at baseline hospital visit, and a data set of 603 images was obtained at other times. One hundred (16.6%) of the 603 non-baseline images were scanned ≤3 months before death. Mean psoas muscle mass index change rates at >3 months before death and ≤3 months before death were -1.3 and -20.1%, respectively (P < 0.001). Receiver operating characteristic curve analysis yielded a cutoff value of -13.0%. The area under the curve reached a moderate accuracy level (0.777, 95% confidence interval 0.715-0.838). When we used the cutoff value to predict death within 3 months, sensitivity and specificity were 74.0 and 82.1%, respectively. CONCLUSIONS: Measuring change in psoas muscle mass index might be useful for predicting cancer mortality within 3 months. It could become a potential tool for identifying refractory cancer cachexia.

Validity of measuring psoas muscle mass index for assessing sarcopenia in patients with gynecological cancer.

OBJECTIVE: The current study evaluated the performance of psoas muscle mass measurement for detecting low skeletal muscle mass quantity. METHODS: A sample of 82 consecutive patients with gynecological cancers was examined using computed tomography and dual energy X-ray absorptiometric scan before treatment. Skeletal muscle mass index was measured by dual energy X-ray absorptiometric scan and its cut-off value was set at 5.40 kg/m2 for detecting low skeletal muscle mass. Psoas muscle mass index was manually measured with cross-sectional computed tomography imaging at the level of L3 by six evaluators. RESULTS: Low skeletal muscle mass index was identified in 23 (28.0%) patients. Two-way analysis of variance confirmed a significant main effect of skeletal muscle mass index on mean psoas muscle mass index values (P < 0.0001). A receiver operating characteristic curve obtained from a total of 492 psoas muscle mass index data points gathered from six evaluators produced an area under the curve value of 0.697 (95% confidence interval 0.649-0.744) and a cut-off value of 3.52 cm2/m2, with sensitivity of 79.0% and specificity of 59.6%. Using the cut-off value, the kappa coefficient for evaluating diagnostic agreement between skeletal muscle mass index (low vs. normal) and psoas muscle mass index (low vs. normal) was 0.308 (95% confidence interval 0.225-0.392), suggesting poor agreement. Fleiss' kappa produced a coefficient of 0.418 (95% confidence interval 0.362-0.473), suggesting moderate agreement. CONCLUSIONS: Although relevance between skeletal muscle mass index and psoas muscle mass index was confirmed, intensity of relevance between them was weak. Psoas muscle mass index measurement should be subordinated to skeletal muscle mass index measurement for detection of low skeletal muscle mass.